Marine Debris in River Margins: Wet and Dry Weathering Effects on the Fragmentation and Degradation of Discarded Plastic

Marine Debris in River Margins: Wet and Dry Weathering Effects on the Fragmentation and Degradation of Discarded Plastic | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Marine Debris in River Margins: Wet and Dry Weathering Effects on the Fragmentation and Degradation of Discarded Plastic Natalie Mladenov, Ella Knight, Alexi Olney, Fernando T. Wakida, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7303205/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 20 Dec, 2025 Read the published version in Microplastics and Nanoplastics → Version 1 posted 9 You are reading this latest preprint version Abstract Land-based debris fragmentation has been recognized as a major source of marine microplastics. We evaluated the effects of extended wet and dry weathering of everyday land-based debris items reported in riparian zone trash surveys: cigarette filters, blankets, tents, medical masks, single-use plastic bags, water bottles, and food containers composed of Styrofoam, hard plastic, and “bioplastic.” Newly purchased items were subjected to outdoor wet and dry weathering microcosms over a 271-day period (October-July). To simulate additional fragmentation during riverine transport, tumbling experiments were conducted with pristine and weathered items. Photographic evidence and scanning electron microscopy analyses after weathering and tumbling revealed that dry weathered plastic had greater surface alteration, characterized by pitting, cracking, and grooves, and had greater fragmentation than wet weathered plastic. The base polymer and surface area-to-mass ratios controlled an item’s susceptibility to weathering. First-order fragmentation rates for the dry weathered medical mask and thin single-use bag were calculated as ~ 2.00 × 10 12 mask fragments/m 2 and ~ 1,900 bag fragments/m 2 , respectively, after one year of weathering. Under wet conditions, the accumulation of biofilm on material surfaces likely inhibited items from degradation and fragmentation. Most wet weathered items also increased in mass and density and lost buoyancy, affecting their potential for riverine transport. Tumbling resulted in the greatest degree of fragmentation for dry weathered materials, which further suggests that dry weather has the highest risk of microplastic formation in agitated and dry environments. These findings can inform the design and placement of trash capture devices, guide waste collection planning, and contribute to policies that prevent debris from reaching oceans and coastal areas. macroplastics microplastics fragmentation SEM ATR-FTIR weathering riparian zone Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 1. INTRODUCTION An estimated 4.8–12.7 million tons of plastic waste are transported to the ocean each year from land-based sources 1 . Trash originating from river margins has been identified as an important and overlooked source of marine debris in the San Diego River, California (CA), United States (US) 2 . Trash in river margins may stem from illegal roadside dumping 3 , inadequate solid waste management of homeless encampments 2 , or forced abandonment during homeless encampments sweeps (Welsh, pers. comm.). While plastic is the most common material contributing to land-based debris in beach 4 and river cleanups 5 , 6 , the environmental weathering of macroplastics in river margins remains to be better understood. The degradation and fragmentation of macroplastics into microplastics (< 5 mm) under realistic environmental conditions is an active area of research 7 – 9 . Many factors affect the degradation of macroplastics. However, extrinsic (e.g., environmental, climatic, and river characteristics) and intrinsic properties (e.g., material chemistry and shape) of the items are essential for predicting the fragmentation of disposed items 10 . Liro et al. 11 found that fragmentation from intrinsic properties was a function of polymer composition, degree of previous weathering, and the surface area-to-mass (SA:mass) ratios of the macroplastic. Under various experimental scenarios involving biochemical and mechanical fragmentation, different polymers had a wide range of fragmentation rates, but the most common outcome was that polystyrene (PS) and expanded polystyrene (EPS) exhibited the greatest amount of fragmentation; by contrast, low-density polyethylene (LDPE), polypropylene (PP), and polyethylene terephthalate (PET) were more resistant to fragmentation 11 . Liro et al. 11 also observed that intrinsic properties bidirectionally interacted with each other. In other words, a high SA:mass ratio will increase the fragmentation of a rigid PP macroplastic, and a more compact shape can decrease the fragmentation of a less durable PS macroplastic. Liro et al. 11 called for more studies, specifically in river systems, to test these hypotheses and increase understanding of secondary micro- and nano-plastic production. Such studies are also critical because the polymeric material (e.g., polystyrene) and specific items (e.g., plastic shopping bags) are targeted in legislation towards reducing microplastics in the environment. For example, many countries have bans or levies on single-use plastics (SUP), and SUP bags being the most regulated item worldwide 12 . Also, governments are increasingly promoting the regulation of other plastic items (such as food packaging, textiles, and tires) 12 . Therefore, understanding how specific items respond to weathering is also essential for informing ongoing and future policies aimed at mitigating the proliferation of microplastics. Environmental exposure also affects the gravimetric properties (eg., density and buoyancy) and other physicochemical properties of polymers, ultimately influencing their fate, including downstream transport or burial, and potentially impacting the design of trash capture devices. Helinski et al. 13 revealed that very few devices are capable of capturing submerged plastics, highlighting an urgent need for improved understanding of the fate of plastic debris in marine and freshwater environments. Consequently, weathering studies that evaluate the effects on gravimetric and physicochemical properties are essential under relevant environmental conditions. Increased scientific attention is also required for materials deposited in riparian zones, rivers, or other freshwater bodies, as this is often where fragmentation first occurs. Further, these locations are ideal for the effective implementation of debris management solutions, including trash capture devices and collection programs. To address these gaps, this study evaluated the fragmentation and fate of macroplastics in an urban river margin. We used wet and dry microcosm experiments lasting 271 days to simulate: 1) debris weathering on the land surface (dry weathering) and 2) debris weathering in the water column (wet weathering). Ten common discarded items, composed of different polymers and varying SA:mass ratios, were selected based on studies of urban watersheds and trash surveys conducted in the San Diego River riparian zone 14 . Physical measurements, scanning electron microscopy, and attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FTIR) were used to assess the impact of wet and dry environmental exposures on fragmentation, mass, density, chemical structure, and material surface features. Finally, to assess the effects of turbulent riverine transport on fragmentation, pristine, wet weathered, and dry weathered materials were subjected to a river tumbling simulator. 2. METHODS 2.1. Field microcosm experiments Two types of microcosm experiments were set up to simulate wet and dry weathering conditions. Microcosm experiments utilized commercially available items placed in outdoor enclosures located in a fenced area on the San Diego State University (SDSU) campus (latitude/longitude 32.778270, -117.069180) within 60 m of the south bank of Alvarado Creek. The site received partial shade, similar to conditions that may occur due to the adjacent canopy in the riparian zone of an urban stream in San Diego. The wet and dry weathering microcosm experiments took place over 271 days, from October 2022 through July 2023. The selection of items for weathering (Table 1) was guided by beach cleanup studies 15 and trash surveys conducted by the San Diego River Park Foundation 14 from 2018 to 2022 at locations shown in Figure S1-1. Among the most commonly reported items, we selected blankets, tents, plastic bags, plastic water bottles, and single-use food containers. We also included cigarette filters, which are typically the most abundant item (by count) in beach cleanup activities 15 . Following the COVID-19 pandemic and rise in use and disposal of single-use PP medical masks 16 , these were added to the selected items (Table 1). Three types of single-use food containers were included in this study: polystyrene (PS), polypropylene (PP), and an advertised “bioplastic” (comprising PP and calcium carbonate (CC)). To represent plastic bag debris, two thicknesses of low-density polyethylene (LDPE) bags were selected: thin (0.029 mm) and thick (0.102 mm). Tent and blanket samples were composed of polyester (also referred to as polyethylene terephthalate, PET) with thicknesses of 0.1 mm and 0.5 mm, respectively. All of the items selected are made using polymeric materials; therefore, macrodebris items will be referred to as macroplastics hereafter. Table 1. Descriptions of selected items, including polymer, color, mean mass, mean thickness, and mean SA:mass ratio (± standard deviation based on six replicates) of experimental samples and reason for selection. Stock Image Product Polymer Type Color Mass (g) Thickness¹ (mm) SA:mass ratio Reason for Selection Cigarette Filter Cellulose Acetate (CA) White 0.154 ± 0.000 NM NC Most abundant in beach cleanups 15 Blanket Polyester (PET) Red 2.76 ± 0.017 0.489 ± 0.013 170.8 ± 1.07 Among top 20 items in river margin cleanups (this study) Tent Polyester (PET) Green 2.15 ± 0.030 0.105 ± 0.002 218.9 ± 3.02 Among top 20 items in river margin cleanups (this study) Mask Three layers of poly-propylene (PP) Light blue and white 1.86 ± 0.026 0.281 ± 0.014 759.5 ± 10.7 Proportion of masks in litter increased by >80-fold because of COVID-19 legislation 16 Thick Bag Low Density Polyethylene (LDPE) Black 0.76 ± 0.004 0.102 ± 0.004 198.24 ± 1.14 One of most common in stormwater debris 17 Thin Bag Low Density Polyethylene (LDPE) White 0.14 ± 0.003 0.029 ± 0.0004 1094.33 ± 20.7 One of most common in stormwater debris 17 Water Bottle Polyethylene Terephthalate (PET) Clear 5.02 ± 0.017 0.428 ± 0.016 30.22 ± 0.10 Among top 20 items in river margin cleanups (this study) Food container Polystyrene (PS) White 1.21 ± 0.004 2.68 ± 0.19 133.14 ± 0.39 Among top 20 items in river margin cleanups (this study) Food Container Poly-propylene (PP) Black 6.68 ± 0.212 0.734 ± 0.12 22.90 ± 0.73 Among top 20 items in river margin cleanups (this study) Food container “Bioplastic” PP + Calcium Carbonate (PP + CC) White 5.93 ± 0.056 0.448 ± 0.012 25.58 ± 0.24 Selected for comparison with PP food container. ¹NM = not measured due to shape; NC = surface area and ratio could not be calculated 2.1.1. Sample preparation Selected items were purchased new and cut down using stainless steel scissors to 5 cm × 15 cm rectangular shapes, except for the cigarette filters. To prevent additional degradation and wear on the cut sides, the edges of the tent and mask were folded and sewn, and the edges of the blanket were sealed using heat from an open flame, thereby preventing fraying. Filters of unsmoked cigarettes were separated from the tobacco portion and the paper wrapper. Sets of six replicates of each item were prepared for placement into dry exposures and wet exposures with creek water. An additional six replicates of the PP and the bioplastic food containers were prepared for placement into wet exposures with deionized (DI) water to evaluate the effects of creek chemistry and biology on wet weathering. Due to logistical constraints, only PP and bioplastic food containers were selected, as assessing the degradation of bioplastic compared to PP was also of interest. To distinguish the replicates, each sample was demarked by melting small holes (corresponding to the count) in the more rigid plastics and sewing tallies into the “fabric” samples. These modifications were placed in hemmed areas or corners and were outside the regions used for analysis. 2.1.2. Dry and wet weathering experiments The goal of the “dry weathering” microcosm experiment was to simulate the conditions present under environmental exposure along a riverbank. Therefore, “dry weathered” samples were subject to natural sunlight, temperature, wind, and rain conditions. Dry weathered samples were not covered during rain events and were not exclusively dry for the entire weather period of 271 days. Samples were secured in magnetic frames, which had adhesive backing and were affixed to trays to prevent them from being dislodged by wind (Figure 1a). Cigarette filters were unwrapped to remove the filter paper and placed into small, galvanized metal mesh cages to prevent corrosion and labeled with the replicate number. All trays were placed inside dog kennel enclosures, approximately 1.20 m × 0.76 m × 0.81 m, to minimize external interference. Additionally, the site was fenced and locked to deter tampering or disruption of the samples. “Wet weathered” samples (six replicates of each debris item) were placed into glass rectangular aquarium tanks 0.41 m × 0.20 m × 0.25 m filled with 16 L of water collected from Alvarado Creek, which was refreshed every two weeks (Figure 1b). Two additional tanks were filled with DI water, holding the PP and bioplastic samples. To track the cigarette filters during wet weathering, each was placed in its separate container and submerged in the glass tank. The tanks were also placed inside dog kennel enclosures, which were covered with a clear plastic tarp during rain events to prevent rainwater entry and tank overflow. Environmental conditions for the weathering experiments and water quality of the wet weathered microcosms are described in SI-1 Methods. Modeled irradiance for San Diego, CA, is provided in Table S1. 2.2. Tumbling experiments Three of the six replicates of pristine and weathered items were further exposed to tumbling and abrasion conditions from August through November 2023 to study the mechanical degradation of debris during simulated riverine transport. A YARDMAX concrete mixer with a capacity of 45,307 cm 3 was filled with ~5.7 kg of quartz sand (occupying 4 L), two ~5 cm diameter cobbles obtained from Alvarado Creek, and 8 L of tap water (refer to Figure S1-2). Alvarado Creek is characterized by sandy loam with cobbles in steep sections (O’Marah, unpublished, 2020). The ratio of ~50% sediment-to-liquid slurry is representative of suspended sediment concentrations (SSC) near the channel bed. Ponce 18 estimated that a distance level of 0.1 of the channel depth has >10% of the total SSC, and a distance level of 0.02 of the channel depth has >50% of the total SSC, but varies depending on particle size, flow intensity, turbulence characteristics, and other site-specific factors. Wet weathered, dry weathered, and pristine triplicates of each item type (totaling nine items) were cut in half crosswise (with a new size of ~5 cm × ~7 cm); the other half was reserved for microbial community analyses for a companion study. The pieces were placed into the mixer simultaneously and tumbled for 2 h at 29 rpm (the fixed speed of the mixer). The duration of mixing is less than the time of concentration for Alvarado Creek (4 h), from the watershed boundary to the SDSU site. The tumbling time was determined based on experimental logistics and availability. 2.3. Physical analyses All items in the current study were visually inspected and photographed over time and after tumbling (Figure S2-1 to S2-95) with an iPhone 12 camera (12 megapixels). Every 90 days, sample mass (M) was measured. The average thickness of each sample was measured using a Rexbeti digital micrometer based on three measurements (top, bottom, middle). Scanning electron microscopy was performed using a FEI Quanta 450 field-emission scanning electron microscope equipped with an Everhart-Thornley detector (ETD). Samples were cut and coated with 6 nm platinum using an EMS 150 sputter coater to prevent surface charging (refer to SI-1 Methods for more information on SEM characterization). On days 0 and 271, buoyancy and density of all samples were quantified. The density of the samples was measured according to ASTM D792-20. Buoyancy was measured by placing triplicate strips of each sample into tap water (specific conductivity of 986 ± 1.83 µS/cm), gently pushing the sample below the water surface to break surface tension, and recording buoyancy after at least 2 min. Notably, the Alvarado Creek water used in the wet weathering microcosms had higher specific conductivity than tap water, ranging from 1400 to 4300 µS/cm (Figure S1-3). 2.4. Fragmentation rate The rate of fragmentation was estimated for items that had visible fragments or mass loss during the weathering period. We used the exponential fit (Eqn. 1) for the period beginning with the observation day immediately preceding fragmentation (I). Data were fit to the equation, N = N 0 · e k (t-I) (1) where, N is the number of fragments at time t, N 0 is equal to 1.0, and k is the fragment generation rate constant. 2.5. ATR-FTIR characterization ATR-FTIR scans were conducted on triplicate samples from wet and dry weathering microcosms using an FTIR spectrometer (Thermo Scientific Nicolet iS5) equipped with attenuated total reflection (ATR) accessories. Spectra were acquired in reflection mode with wavelengths ranging from 400 to 4000 cm -1 , with 30 scans at a resolution of 10 cm -1 . Sample spectra were matched to the polymer by comparing bands corresponding to specific chemical functional groups, as reported in the literature. 2.6. Statistical analysis The significance of differences in mass and thickness of the weathered samples compared to the pristine materials was tested with a paired, one-tailed homoscedastic t-test. A p -value of less than 0.05 indicates a significant difference. 3. Results Our synthesis of trash survey data recorded by SDRPF 14 between 2018 to 2023 revealed that most of the large debris consisted of plastics (Fig. 2 ). The most common items (> 10% contribution) surveyed between 2018 to 2023 were shopping carts, tents, and tarps Fig. 2 ), which are often associated with homeless encampments. Single-use plastic bags, bottles, and food storage items were also identified in our study (Fig. 2 ). Seven of the items we used in microcosm experiments (tent, blanket, bottle, foam, packaging, mask, and bag) were among the top 20 macrodebris items in homeless encampment cleanups along the San Diego River. Wet and dry weathering effects on sample properties Discoloration All the items in the wet and dry microcosms experienced discoloration over 271 days of environmental exposure. Compared to bands of near-original color, the sunlight-exposed areas of dry weathered samples experienced a lightening (e.g., for the red PES blanket and other dark colored items) and a yellowing of the lighter-colored plastics (e.g., tanning of the white PS food container) (see Figs. 3 a and 3 b for examples of representative images of dry weathered samples). While, color changes were most visible on the sunlight-exposed side of the items, the undersides of some items (e.g., tent) also had visible changes compared to their unweathered versions. By contrast, the wet weathered items typically had a darkening of the material, resulting primarily from the presence of biofilms, algae, and other organic and inorganic debris (Figs. 3 c and 3 d). Differences in microbial biomass of wet weathered items also were visible on the sunlight-exposed surfaces. The sunlight-exposed top side had greater biofilm formation than the bottom, suggesting the role of photosynthesis in biofilm formation. Further, samples that sank to the bottom of tanks had less biofilm formation, likely due to reduced sunlight exposure. SEM-imaged degradation features Scanning electron microscopy was performed on pristine and weathered samples to probe microscopic signs of weathering. Compared to pristine samples (Figs. 4 – 6 , top panels), most of the dry weathered sample SEM images had substantial degradation (Figs. 4 – 6 , middle panels). Due to excessive damage to SEM apertures from debris on the wet weathered samples, SEM imaging was performed on only four of the wet weathered materials analyzed in this study. All images showed evidence of biological growth, which was substantially higher under wet-weathering conditions than under dry weathering (Figs. 4 – 6 , bottom panels). Fibrous polymers . Degradation in dry weathered cigarette filter, mask, and blanket samples, manifested as erosion, bending, and breakage of the fibers. These degradation attributes were present in multiple layers of the dry weathered medical mask (Fig. 4 ). Dry weathering of the tent’s tightly woven PES fibers resulted in only minor displaced and slightly unpacked yarns compared to the pristine counterpart. Blanket and tent samples accumulated greater amounts of dust and biological material than dry weathered samples, potentially due to the affinity for algal growth in the nutrient-rich creek water. Bags and bottle . Due to extensive weathering and fragmentation of the thin LDPE bag under dry weathering conditions, it was not possible to obtain its SEM images. The thick bag and water bottle materials remained intact after weathering; yet showed formation of surface agglomerates or detached material (Fig. 5 ), which may represent microplastic formation or attached debris from the environment. The thick LDPE bag also experienced scratches, pits, and grooves. Similarly, for the water bottle, scratches present in the pristine samples increased in number and deepened into pits and grooves. Food containers. The pristine Styrofoam food container’s bubble-like structures burst after dry weathering, resulting in flaking; however, this did not occur in the wet weathered samples (Fig. 6 ). The PP food container showed evident signs of crazing, or micro-voids, after dry weathering 19 . Pitting was also visible in the bioplastic sample after dry weathering (Fig. 6 ). We observed attached biological cells and films in materials wet weathered with creek water, however, there was no evidence of biological growth on bioplastic material surfaces when weathered in DI water. Polymer identification and degradation Comparisons of the identified ATR-FTIR spectral peaks to their respective reference characteristics showed that all expected polymer types were confirmed. FTIR spectra of samples are found in Figures S3 -1 to S3-20, and listings of their main chemical bonds and wavenumbers compared to reference material are given in Tables S3-1 to S3-10. The only notable differences between the spectra of wet and dry weathered samples were observed for the peaks at 1713 cm − 1 , corresponding to the carbonyl group (C = O), and at 1044 cm − 1 , corresponding to the C-O unsaturated group. Other studies have referred to the changes associated with these peaks as a product of photooxidation 20 , 21 , which may lead to increased brittleness 22 . The carbonyl peak appeared more prominently in the dry weathered samples, like the thick and thin LDPE bags (Figures S3 -10 and S3-12), than in the pristine or wet weathered samples of the same type. The C-O unsaturated group peak was observed in both wet and dry weathered samples and was also more pronounced for the thick and thin LDPE bags (Figures S3 -10 and S3-12). All PP, PS, and LDPE wet weathered samples had decreased transmittance compared to pristine samples, which may be due to biological growth and secretions that may weaken the polymer 23 . Also, a hydroxyl peak at ~ 3300 cm⁻¹, which is an indicator of polymer biodegradation, 24 , 25 was observed in all wet weathered samples, except for the PET bottle and PET tent. This bond is present in various organic and inorganic compounds, including carboxylic acids, alcohols, phenols, and water. This peak was predominantly observed in the wet cigarette filter (Figure S3 -2), wet PET polyester blanket (Figure S3 -4), wet medical mask PP (Figure S3 -8), wet thick bag (Figure S3 -10), and wet PP food container (Figure S3 -18) samples. Mass and thickness change All samples experienced mass change over the 271-day weathering period (Table 2 ). With the exception of cigarette filters, all of the samples weathered in creek water increased in mass. However, those weathered in DI water did not change significantly. This is likely due to the growth of biofilm on the sample surfaces (Figs. 3 c and 3 d). Biofilm growth on samples in DI was noticeably lower (SI-2). A significant decrease in mass occurred in three of the dry weathered samples: cigarette filter (4.6%), mask (25%), and thin bag (13%), presumably due to the loss of fibers, flakes, and other material noted in SEM micrographs. Table 2 Mean percent change 1 in mass and thickness of dry weathered, wet weathered, and DI weathered samples from day 0 to 271. Samples Mass change (%) Thickness change (%) Dry Wet – creek Wet – DI water Dry Wet – creek Wet – DI water Cigarette Filter -4.6 ± 0.7* -2.1 ± 7.6 - n/a n/a - Blanket 1.2 ± 0.1 32 ± 2.3* - 79 ± 14* 83 ± 8.8* - Tent -1.8 ± 0.9 22 ± 3.8* - -10 ± 1.6* 34 ± 5.4* - Mask -25 ± 4.9* 37 ± 5.3* - -2.5 ± 6.7 104 ± 8.8* - Thick Bag 1.6 ± 0.01 8.5 ± 1.4* - -5.5 ± 8.5 8.6 ± 4.0* - Thin Bag -13 ± 6.3* 65 ± 3.3* - nd 148 ± 32* - Water Bottle 0.10 ± 0.06 2.1 ± 0.9 - -7.0 ± 4.1* 2.9 ± 1.9 - Styrofoam -0.12 ± 0.66 19 ± 6.2* - 3.8 ± 11 0.4 ± 12 - Food Container 0.04 ± 0.03 4.2 ± 1.1 0.12 ± 0.02 4.4 ± 2.8* 7.5 ± 7.2* 4.0 ± 2.8* Bioplastic 0.42 ± 0.16 2.4 ± 0.24* -0.10 ± 0.03 7.3 ± 3.1* 11 ± 4.9* 6.5 ± 3.6* * indicates that an increase or decrease in mass is significant (p < 0.05). 1 Dashes represent no wet weathering in DI water; “n/a” indicates that sample thickness could not be measured due to shape; “nd” indicates that sample thickness was below detection. Seven of the wet weathered samples and only three of the dry weathered samples had significant increases in thickness ( p < 0.05) over the 271-day weathering period (Table 2 ). Under dry weathering, there were significant decreases in thickness for the tent and water bottle samples, at 10% and 7%, respectively. Increases in thickness could be due to expansion of the material and biofilm formation on its surface, while decreases could be due to material loss or compression. Density and buoyancy Of the 10 wet weathered material types analyzed, seven had statistically significant increases in density after weathering (Fig. 7 ), including cigarette filters, blankets, tents, masks, Styrofoam, PP food containers, and bioplastics. All these samples had biofilm formation, which may contribute to the increased density. In addition, the cigarette filter, blanket, tent, and thin LDPE bag samples, which began the weathering experiments with a density similar to or less than water (average water density of 1 g/ml), became significantly denser than water after 271 days of wet weathering. These samples also sank during buoyancy testing despite floating at the start of the experiments (on day 0). Only the wet weathered water bottle samples had a significant decrease in density compared to unweathered samples after 271 days. Under dry conditions, three items had statistically significant density changes after 271 days of weathering. The cigarette filter and blanket became denser, while the dry weathered bioplastic container’s density was significantly lower than that of the unweathered counterpart. All other samples remained nearly unchanged after dry weathering. Approximately 80% of the calculated densities agreed with the results of buoyancy testing (Table S2 ). Fragmentation Dry weathering was the only condition that resulted in quantifiable fragmentation for two materials: the thin LDPE bag and the PP mask (Fig. 8 ). Changes in the surface characteristics of the Styrofoam sheet on day 271 also suggest that fragments were lost, but it was not possible to quantify these fragments. The thin LDPE bag began to fragment into two distinct pieces at day 233. After 271 days of weathering, each replicate broke into 3 to 6 fragments, but some fragments were lost (presumably windblown) and could not be counted. The mean and standard deviation of the first-order fragmentation rate, k , for the six replicates were 0.0144 ± 0.0025 day⁻¹. This suggests a forecasted rate of ~ 1900 fragments/m² of LDPE thin bag after the first year of weathering (Table 3 ) and ~ 600,000 fragments/m² after two years. Calculated fragmentation rates are conservative for two reasons: 1) securing the items under magnetic frames minimized physical disruption that could promote more rapid fragmentation, and 2) early shedding of microplastics from polymer surfaces early in the weathering process 26 was not accounted for in our study. Table 3 Fragmentation rates and predicted numbers of fragments produced in the first year of weathering, calculated for the LDPE thin bag and the PP mask layers. The standard deviations are given in parentheses. Item Fragmentation rate, k (d - 1 ) Fragments per m 2 of material in the first year LDPE thin bag 0.0144 (0.002) 1870 PP mask Flakes Rods top blue layer 0.055 (0.010) 0.078 (0.015) 2.00 × 10 12 middle white layer 0.031 (0.035) 0.046 (0.051) 1.24 × 10 12 bottom netting layer 0.015 (0.016) 0.025 (0.027) 2.54 × 10 7 The three-layered PP mask initially lost area in its top and middle layers on day 187. By the final observation date (day 271), the bottom layer also lost area. Lost mask areas (Figure S1 -4) and fragment numbers were estimated through microscopy and particle enumeration as described in the Supplemental Information. In total, 36 randomly selected fragments shed from masks were imaged using microscopy. Most fragments were either flakes, with a mean area of 0.2305 mm² (± 0.85), or rods, with a mean area of 0.0044 mm² (± 0.003). However, even smaller fragments were visible (Figure S1 -5). Using the same fragmentation rate calculation as for the LDPE thin bag, the top blue layer had the highest k value of 0.055 ± 0.010 day⁻¹ for flakes and 0.078 day⁻¹ ± 0.015 day⁻¹ for rods. This could potentially result in ~ 2.00 × 10¹² fragments/m² after one year of weathering (Table 3 ). Based on visual observations, no other wet or dry weathered marine debris items produced measurable fragments in our microcosms. However, the dry weathered Styrofoam showed evidence of “chalking,” a process where a white powdery residue develops on the surface. Youssef 27 and Gardi et al. 28 attributed this to hygrothermal stability of the polymer under these degradation conditions. The residue on the Styrofoam surface was not quantified due to the size limitations. Effects of tumbling The effects of two hours of tumbling, which induces mechanical fragmentation 11 , were evident in the photos of pristine, dry weathered, and wet weathered samples (Fig. 9 ). The unweathered (pristine) samples were the least affected. Tumbling caused the greatest damage to dry weathered materials, leading to discoloration, denting or scratching, tearing, and fragment loss (Table S1 -3). This was especially true for the mask, Styrofoam and bioplastic food containers, and tent materials. Pieces of fragmented items were retrieved by sifting through the sand and water slurry after tumbling, but smaller fragments could not be recovered. For example, the dry weathered mask had entirely lost all three layers and internal components; only the hemmed sides remained (Fig. 9 ). The dry, weathered, thin plastic bag was so brittle that it could not be tumbled. In contrast, other materials (LDPE thick bag, PES blanket, PET bottle, and PP container) remained intact after tumbling (Fig. 9 ) and substantial pitting was observed in the thick plastic bag. Tumbling of wet weathered samples resulted in the tearing and breakage of Styrofoam, tent, and mask samples. Still, thin and thick LDPE bags, PP containers, PET bottles, and bioplastic containers did not exhibit significant visible changes. Some wet and dry weathered materials were discolored due to the tumbling process (Fig. 9 ), presumably as a result of abrasion from sand particles and rocks. All sets of cigarette filters, irrespective of the weathering conditions, had one or more replicates that could not be recovered from the sand and water slurry after tumbling. All three of the wet weathered cigarette filters could not be recovered. Although some items, such as the PP and bioplastic food containers, did not tear or fragment after tumbling, SEM micrographs revealed damage in the form of pitting and deep gashes (Figure S6). Other items had holes (black spots in the SEM image of the thin bag), tears (tent), and deep gashes (thick bag and water bottle) where mass was lost due to tumbling (Figure S7). 4. DISCUSSION The riparian zone of the San Diego River is a significant source of land-based marine debris items 2 , such as tents, medical masks, and blankets, which are not often reported in studies of macroplastic weathering. This study evaluated the fragmentation that may occur due to ultraviolet radiation, temperature changes, and oxidation 11 during the wet and dry weathering of macroplastic items. Notably, 70% of the items studied herein are among the most frequently reported in trash surveys of the San Diego River riparian zone (Fig. 2 ). The evaluation of wet versus dry weathering under realistic conditions in southern California highlights their contrasting impacts on macroplastic fragmentation, providing important considerations for managing plastic trash and debris in riparian zones. Dry weathering degradation and fragmentation of the thin bag, Styrofoam, and mask Dry weathering in the riparian zone microcosm simulations resulted in the most extensive changes throughout the experimental period. While wet and dry weathered items exhibited discoloration after 271 days, the dry weathered items had greater visual evidence of degradation. Discoloration occurred due to photo-oxidation, leading to color fading and yellowing 29 , 30 . While results from ATR-FTIR did not show significant differences in chemical structures between wet and dry weathered samples, the C-O unsaturated group structures associated with photooxidation were more pronounced in weathered samples compared to pristine samples. Also, the dry weathered, thin and thick LDPE bag samples had decreased transmittance in the carbonyl group (C = O) regions compared to their wet weathered counterparts, which results from chemical structures produced by photooxidation 20 , 21 , but also could be associated with morphology. The thin LDPE bag, the Styrofoam food container, and the medical mask only produced fragments under dry weathering conditions over the 271-day exposure period. The fragmentation patterns of these items are consistent with the continuum of intrinsic properties summarized by Liro et al. 11 . Specifically, items with a greater SA:mass ratio fragment more than those with a lower SA:mass ratio and to a greater degree than items composed of more degradable polymers. For example, despite comprising more degradation resistant PP layers, the medical mask, which had a high SA:mass ratio of ~ 760 cm 2 /g, was the first item to show signs of breaking and fragmentation as early as day 89. By contrast, the PS food container with a SA:mass ratio of 133 cm 2 /g), which tends to have a much higher rate of mechanical fragmentation than PP 31 , showed degradation later, with “chalking” and flaking on day 271. The thin LDPE bag, which had the highest SA:mass ratio of 1094 cm 2 /g, began to visibly fragment with cracks and large pieces appearing on day 233. Our results align with other studies that have shown a high degree of degradation for plastic bags and disposable medical masks. Rathinamoorthy and Balasaraswathi 32 conducted a similar outdoor weathering experiment and observed the release of microfibers was significantly higher for dry weathered masks than for those in freshwater and seawater. It is challenging to assess the number of microplastic fragments introduced to the environment from specific sources, given that items like plastic bags, Styrofoam, and medical masks are not easily recognizable once they fragment. Based on the thin LDPE bag fragmentation rate derived from this study, we can estimate the number of microplastics produced globally from this source. Assuming ~ 5 trillion SUP bags are used annually 33 and 22% of all plastic waste (including SUP bags) is mismanaged and becomes litter 34 , three years of weathering would produce ~ 10 18 fragments. This is almost equivalent to the number of sand grains on all of Earth’s beaches and deserts. Similarly, if just 1% of the 129 billion medical masks produced per month during the Covid-19 pandemic 35 were improperly disposed of in the environment, the same number of fragments, 10 18 , would be released in only two years. We hypothesize that other items composed of Styrofoam, thin films, and thin fibers may experience similar extensive fragmentation. However, more experimental work is needed to further evaluate the respective roles of intrinsic properties, such as polymer type and thickness, in fragmentation of these items. Wet weathering effects on macroplastic The microcosm experiments demonstrated that wet weathering has distinct effects on macroplastics compared to dry weathering. Items submerged in creek water had a significantly slower degradation process than under dry weathering conditions, as evidenced by visual observations and mass accumulation measurements. This finding is consistent with other studies on plastic degradation in water, including: Gerritse et al. 8 , who demonstrated that plastic samples weathered in seawater for more than one year had less than 1% mass loss; Ranjan and Goel 36 , who found that polypropylene sheets weathered more slowly in both fresh and saline water than when exposed to air; and Andrady et al. 30 , who found that LDPE (3.175 mm thick) material weathered in seawater showed no surface cracking or signs of oxidation from their ATR-FTIR analyses. Resistance to degradation in water may be due to two factors: 1) attenuation of light by the water column and 2) the formation of biofilms, which can reduce exposure to UV rays, heat, and oxidation 37 . It should be noted that biofilms were only observed on samples weathered in creek water, which contains nutrients and organic carbon that support biological growth, and not on samples weathered in DI water. The other major effect of wet weathering was the significant increase in mass, thickness, and density of many wet weathered samples. Except for the two LDPE bags and the water bottle, the significant density increases have important implications for the downstream transport of these items. As density increases and buoyancy is lost, these items may become buried in the streambed, where they may be missed by capture devices designed for floating trash. Effects of simulated riverine transport with tumbling Surface water-based trash capture devices contain a large amount of fragmented macrodebris that is unrecognizable 38 , which may be due to the additional fragmentation that debris undergoes during riverine transport. We found that previous weathering had a significant impact on fragmentation during mechanical degradation via tumbling, with both wet- and dry weathered samples exhibiting more visible degradation after tumbling compared to pristine items. Liro et al. 11 highlighted the important critical effects of previous degradation as an intrinsic property, whereby the loss of some mechanical properties of macroplastics resulted from their previous biochemical degradation. In this study, dry weathered items showed the greatest degree of fragmentation, but wet weathered items also fragmented after tumbling. Although wet conditions resulted in less evidence of sample degradation, ATR-FTIR revealed that many wet weathered samples had lower overall transmittance, associated with microbial degradation, 23 and the presence of a hydroxyl peak at ~ 3300 cm − 1 , which also indicates polymer biodegradation 24 , 25 . While there are few published studies that conduct similar tumbling experiments, it has been demonstrated that aged plastics, specifically UV weathered samples, fragment more quickly than pristine items 11 , 39 . This study adds to this work and underscores the far greater effects of dry weathering on fragmentation, highlighting the importance of more frequent trash cleanups in riparian zones. Recovering or intercepting macrodebris items before they undergo weathering and subsequent storm runoff and transportation of fragments further into aquatic ecosystems is critical for waste management. Certain items are noteworthy for their high potential to fragment. For example, the thin LDPE bag had already fragmented without the tumbling simulation; tumbling would have made the item unrecoverable. In addition, four other dry weathered samples — medical mask, Styrofoam, bioplastic, and tent material — fragmented substantially after tumbling. Wet weathered cigarette filters were also not recoverable and may have fragmented, possibly due to the leaching of structurally important chemical constituents in the wet microcosms. We hypothesize that the lost material represents non-negligible amounts of microplastic fragments in the environment since the fragments were not discernible from the sand and water slurry. These findings have important implications for management and research. Management actions should consider the high propensity for fragmentation when selecting items for regulation and when deciding the frequency of trash cleanup activities. Also, evaluations of trash capture efforts should consider that more fragmentation-resistant items, such as plastic bottles and PP food containers, will be more easily quantified in those studies, possibly biasing results. Finally, it was expected that the bioplastic food container would degrade quickly under wet and dry weathering conditions. However, fragmentation only occurred for dry weathered bioplastic after mechanical tumbling. The resistance to weathering by the advertised “biodegradable” plastic reflects worldwide reports of false biodegradability claims for many bioplastics 40 . 5. CONCLUSION This study evaluated the effects of natural weathering on the fragmentation and degradation of debris items commonly found in the riparian zone of the San Diego River. Overall, dry weathered macroplastics had more rapid and significant signs of surface degradation (pitting, cracking, and grooves) and fragmentation, and more mass loss than those weathered in creek water. The degree of fragmentation was controlled by the SA:mass ratio and polymer type. Items with a high SA:mass ratio, such as the PP and LDPE items (mask and thin SUP bag) had the most fragmentation. By contrast, PP and PET polymers with a low SA:mass ratio (food container and plastic bottle) were the most resistant to weathering. Wet weathering resulted in two effects: biofilm formation on plastic surfaces, which likely protected them against photochemical and oxidative degradation, and increases in mass, thickness, and density, which reduced the buoyancy of many samples. Understanding these patterns is essential for predicting the fate of plastic debris and designing effective management strategies. Current trash capture devices, such as litter booms and trash skimmer vessels, are designed to collect floating plastics; often missing submerged debris that can pose significant environmental risks. This necessitates the design of more comprehensive trash capture devices capable of collecting both floating and sinking debris Tumbling experiments simulated transport and mechanical fragmentation that occurs during storms. All samples, both pristine and weathered, exhibited damage after tumbling, ranging from surface scratches/dents to rips/tears to complete fragmentation. As expected, previously weathered samples showed substantially greater damage than pristine samples. Dry weathered items were the most severely damaged, particularly the Styrofoam (PS), mask (PP), and thin bag (LDPE). Our findings suggest that items weathered over extended periods in river margins pose a high risk for fragmentation, especially during storm events that induce riverine transport. This risk is particularly pronounced for dry weathered items, making them a significant source of microplastic fragments. The riparian zone of the San Diego River is a source of macroplastics and microplastics. Unlike the developed urban landscape, where trash capture devices can be installed into storm drains, softscape (vegetated) river margins require different approaches to prevent plastic transport. Prioritizing regular debris removal from riparian zones and other river margin environments and increasing trash collection frequency are important strategies for preventing microplastic dispersal and reducing the microplastic dispersal and reducing microplastic and nanoplastic loads in waterways and the ocean. The items that exhibited the most extensive fragmentation were medical masks (PP), thin LDPE bags, and Styrofoam (PS). Therefore, strategies that promote the proper disposal of these single-use items or limit their consumption, would significantly reduce microplastic pollution in the environment. Declarations Funding for the project was provided by the National Oceanic and Atmospheric Administration Marine Debris Program (Grant # NA21NOS9990109) and the CSU Council on Ocean Affairs, Science & Technology (COAST) (Grant # COAST-GDP-2023-005). The SDSU Electron Microscopy Facility provided support for SEM imaging, and we thank Dr. Ingrid Niesman for her invaluable guidance and training on SEM techniques. Additional thanks to Dr. Matthew Verbyla for constructive edits in the initial writing stages. We thank Water Innovation and Reuse Lab research assistants Trinity Magdalena-Weary, Lena Bagnol, and Penelope Zavala, and high school student Natalie Scott for their assistance with lab analyses and field work. We thank the San Diego River Park Foundation staff and volunteers for providing the trash survey data. We also thank the Disturbance Hydrology Lab students, Camryn Crumpton, Mya Sherman, and Sara McGaugh for their trash survey data analysis. Author Contribution NM designed experiments, synthesized physical measurement data, acquired funding, supervised students, wrote the main manuscript text, and led the study; EK led the microcosm studies, supervised students, designed experiments, and co-wrote the manuscript, AO synthesized ATR-FTIR data and designed experiments, FW and TJP conducted ATR-FTIR analyses and synthesized data, GY edited the manuscript, AMK supervised data analysis, supervised students, edited the manuscript, and acquired funding. All authors reviewed the manuscript. Acknowledgement Funding for the project was provided by the National Oceanic and Atmospheric Administration Marine Debris Program (Grant # NA21NOS9990109) and the CSU Council on Ocean Affairs, Science & Technology (COAST) (Grant # COAST-GDP-2023-005). The SDSU Electron Microscopy Facility provided support for SEM imaging, and we thank Dr. Ingrid Niesman for her invaluable guidance and training on SEM techniques. Additional thanks to Dr. Matthew Verbyla for constructive edits in the initial writing stages. We thank Water Innovation and Reuse Lab research assistants Trinity Magdalena-Weary, Lena Bagnol, and Penelope Zavala, and high school student Natalie Scott for their assistance with lab analyses and field work. We thank the San Diego River Park Foundation staff and volunteers for providing the trash survey data. We also thank the Disturbance Hydrology Lab students, Camryn Crumpton, Mya Sherman, and Sara McGaugh for their trash survey data analysis. Data Availability Data, photographs, SEM images, and FTIR spectra are provided within the manuscript or supplementary information files. References Jambeck JR, Geyer R, Wilcox C, Siegler TR, Perryman M, Andrady A, Law KL. Plastic waste inputs from land into the ocean. Science. 2015;347(6223):768–71. Palmer, T., Biggs, T., Araki, R., Bagheri, K., Davani, H., Downing, R., … McMillan,H. K. (2025). Quantifying sources, sinks and mitigation of macroplastic and other river debris: A trash balance model. Earth's Future, 13(3), e2024EF005677. Blood T, Chacon E, Ramirez J, Medrano B. (2021). Council for Watershed Health: Compton Creek Analysis of Trash and Homeless Encampments. Master’s Thesis. California State University, Long Beach. Serra-Gonçalves C, Lavers JL, Bond AL. Global review of beach debris monitoring and future recommendations. Environ Sci Technol. 2019;53(21):12158–67. Lebreton LC, Van Der Zwet J, Damsteeg JW, Slat B, Andrady A, Reisser J. River plastic emissions to the world’s oceans. Nat Commun. 2017;8(1):15611. Poletti SA, Landberg T. Using nature preserve creek cleanups to quantify anthropogenic litter accumulation in an urban watershed. Freshw Sci. 2021;40(3):537–50. https://doi.org/10.1086/716214 . Delre A, Goudriaan M, Morales VH, Vaksmaa A, Ndhlovu RT, Baas M, Keijzer E, de Groot T, Zeghal E, Egger M, Röckmann T, Niemann H. Plastic photodegradation under simulated marine conditions. Mar Pollut Bull. 2023;187:114544. https://doi.org/10.1016/j.marpolbul.2022.114544 . Gerritse J, Leslie HA, de Tender CA, Devriese LI, Vethaak AD. Fragmentation of plastic objects in a laboratory seawater microcosm. Sci Rep. 2020;10. https://doi.org/10.1038/s41598-020-67927-1 . Reineccius J, Schönke M, Waniek JJ. Abiotic long-term simulation of microplastic weathering pathways under different aqueous conditions. Environ Sci Technol. 2022;57(2):963–75. https://doi.org/10.1021/acs.est.2c05746 . Chamas A, Moon H, Zheng J, Qiu Y, Tabassum T, Jang JH, Abu-Omar M, Scott SL, Suh S. Degradation Rates of Plastics in the Environment. ACS Sustain Chem Eng. 2020;8(9):3494–511. https://doi.org/10.1021/acssuschemeng.9b06635 . Liro M, Zielonka A, van Emmerik THM. Macroplastic fragmentation in Rivers. Environ Int. 2023;180:108186. https://doi.org/10.1016/j.envint.2023.108186 . Knoblauch D, Mederake L. Government policies combatting plastic pollution. Curr Opin Toxicol. 2021;28:87–96. Helinski OK, Poor CJ, Wolfand JM. Ridding our rivers of plastic: A framework for plastic pollution capture device selection. Mar Pollut Bull. 2021;165:112095. San Diego River Park Foundation (SDRPF). River assessment field team. https://sandiegoriver.org/what-we-do/clean-river-efforts/raft/ (accessed 2024). Shen M, Li Y, Song B, Zhou C, Gong J, Zeng G. Smoked cigarette butts: Unignorable source for environmental microplastic fibers. Sci Total Environ. 2021;791:148384. https://doi.org/10.1016/j.scitotenv.2021.148384 . Roberts KP, Phang SC, Williams JB, Hutchinson DJ, Kolstoe SE, de Bie J, Williams ID, Stringfellow AM. Increased personal protective equipment litter as a result of COVID-19 measures. Nat Sustain. 2021;5(3):272–9. https://doi.org/10.1038/s41893-021-00824-1 . Schnurr REJ, Alboiu V, Chaudhary M, Corbett RA, Quanz ME, Sankar K, Srain HS, Thavarajah V, Xanthos D, Walker TR. Reducing marine pollution from single-use plastics (SUPS): A Review. Mar Pollut Bull. 2018;137:157–71. https://doi.org/10.1016/j.marpolbul.2018.10.001 . Ponce VM. (2014). Chapter 13: Sediment in the Hydrologic Cycle, in Engineering Hydrology, 2nd Ed. Published online. https://pon.sdsu.edu/enghydro/engineering_hydrology_13.php#transport (accessed 5 July 2025). Van Krevelen DW, Nijenhuis T. K. (2009). Mechanical Properties of Solid Polymers. essay. Dogan M. Ultraviolet light accelerates the degradation of Polyethylene plastics. Microsc Res Tech. 2021;84(11):2774–83. Martínez-Romo A, González-Mota R, Soto-Bernal JJ, Rosales-Candelas I. (2015). Investigating the Degradability of HDPE, LDPE, PE-BIO, and PE-OXO Films under UV-B Radiation. Materials Science Spectroscopy 2015: 586514 10.1155/2015/586514 Delorme AE, Lebreton L, Royer SJ, Kāne K, Arhant M, Le Gall M, Le Gac PY. Assessing Plastic Brittleness to Understand Secondary Microplastic Formation on Beaches: A Hotspot for Weathered Marine Plastics. Microplastics Nanoplastics. 2025;5(1):25. Chaudhary AK, Vijayakumar RP. (2020). Studies on biological degradation of polystyrene by pure fungal cultures. Environment development and sustainabilty, 22 (5):4495–4508 DOI10.1007/s10668-019-00394-5. Gao R, Sun C. A marine bacterial community capable of degrading poly (ethylene terephthalate) and polyethylene. J Hazard Mater. 2021;416:125928. https://doi.org/10.1016/j.jhazmat.2021.125928 . Bombelli P, Howe CJ, Bertocchini F. Polyethylene bio-degradation by caterpillars of the wax moth Galleria mellonella. Curr Biol. 2017;27(8):R292–3. Lambert S, Wagner M. Formation of microscopic particles during the degradation of different polymers. Chemosphere. 2016;161:510–7. Youssef G. Applied mechanics of polymers: properties, processing, and behavior. Elsevier; 2021. Gardi S, Giannone L, Sarti G, Sarti G. Surface chalking upon weathering of dark-colored PVC articles and relevant stabilizers. Polymers. 2024;16(8). https://doi.org/10.20944/preprints202403.0319.v1 . Rånby B, Rabek JF. Photodegradation of polymer materials. Compr Polym Sci Supplements. 1989;253–83. https://doi.org/10.1016/b978-0-08-096701-1.00230-5 . Andrady AL, Law L, Donohue K, J., Koongolla B. Accelerated degradation of low-density polyethylene in air and in Sea Water. Sci Total Environ. 2022;811:151368. https://doi.org/10.1016/j.scitotenv.2021.151368 . Chubarenko I, Efimova I, Bagaeva M, Bagaev A, Isachenko I. On mechanical fragmentation of single-use plastics in the sea swash zone with different types of bottom sediments: Insights from laboratory experiments. Mar Pollut Bull. 2020;150:110726. Rathinamoorthy R, Balasaraswathi SR. Disposable tri-layer masks and microfiber pollution – an experimental analysis on dry and wet state emission. Sci Total Environ. 2022;816:151562. https://doi.org/10.1016/j.scitotenv.2021.151562 . United Nations Framework on Climate Change. (2022). Plastic Promise Blog. https://unfccc.int/news/plastic-promise . Accessed 17 July 2025. OECD. (2022), Global Plastics Outlook: Policy Scenarios to 2060, OECD Publishing, Paris. https://doi.org/10.1787/aa1edf33-en (accessed 5 August 2025). Wang, L., Li, S., Ahmad, I. M., Zhang, G., Sun, Y., Wang, Y., … Li, D. (2023). Global face mask pollution: threats to the environment and wildlife, and potential solutions.Science of The Total Environment, 887, 164055. Ranjan VP, Goel S. Recyclability of polypropylene after exposure to four different environmental conditions. Resour Conserv Recycl. 2021;169:105494. https://doi.org/10.1016/j.resconrec.2021.105494 . Dimassi SN, Hahladakis JN, Yahia MN, Ahmad MI, Sayadi S, Al-Ghouti MA. Degradation-fragmentation of marine plastic waste and their environmental implications: A critical review. Arab J Chem. 2022;15(11):104262. https://doi.org/10.1016/j.arabjc.2022.104262 . Sherlock C, Gutierrez RF, David M, Rochman CM. A methodology for quantifying and characterizing litter from trash capture devices (TCDs) to measure impact and inform upstream solutions. Facets. 2023;8:1–12. Born MP, Brüll C, Schüttrumpf H. Implications of a new test facility for fragmentation investigations on Virgin (micro)plastics. Environ Sci Technol. 2023;57(28):10393–403. https://doi.org/10.1021/acs.est.3c02189 . Moreno BB, Rodrigues BV, Afonso LR, Jimenez PC, Castro IB. High incidence of false biodegradability claims related to single-use plastic utensils sold in Brazil. Sustainable Prod Consum. 2023;41:1–8. Additional Declarations No competing interests reported. Supplementary Files SI1SupplementalInformationv2.docx SI2SupplementalPhotos.docx SI3SupplementalFTIRv2.docx Cite Share Download PDF Status: Published Journal Publication published 20 Dec, 2025 Read the published version in Microplastics and Nanoplastics → Version 1 posted Editorial decision: Revision requested 30 Sep, 2025 Reviews received at journal 30 Sep, 2025 Reviews received at journal 08 Sep, 2025 Reviewers agreed at journal 13 Aug, 2025 Reviewers agreed at journal 11 Aug, 2025 Reviewers invited by journal 11 Aug, 2025 Editor assigned by journal 08 Aug, 2025 Submission checks completed at journal 07 Aug, 2025 First submitted to journal 05 Aug, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7303205","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":501990460,"identity":"d7738a53-ac78-4986-95f1-edac161f02a5","order_by":0,"name":"Natalie Mladenov","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyElEQVRIiWNgGAWjYFAC5gYGHhDN3sAgARY4QFALI1QLzwGStUgkEKnFXOxg44c3FXfkDG4+f3jzZxuDHN+NBPxaLGcnNkvOOfPM2OB2jrE1bxuDsSQhLQa3ExukedsOJ86cncMmzdjGkLiBCC3Nv3n/AbXMPP5MEuiwemK0tEnzNhxO7JdgMJMAOizBgBgtlnOOHTbm5wH6heechOHMMw8IaUk+fONNzWE5NvbjD2/+KLOR5ztOwBZ0IEGa8lEwCkbBKBgF2AEABC5I34zHkacAAAAASUVORK5CYII=","orcid":"","institution":"San Diego State University","correspondingAuthor":true,"prefix":"","firstName":"Natalie","middleName":"","lastName":"Mladenov","suffix":""},{"id":501990461,"identity":"74aefe4d-f903-4de3-8974-d6c2a046d077","order_by":1,"name":"Ella Knight","email":"","orcid":"","institution":"San Diego State University","correspondingAuthor":false,"prefix":"","firstName":"Ella","middleName":"","lastName":"Knight","suffix":""},{"id":501990462,"identity":"34ffa172-ed14-461e-b2a0-dd29c0e427b6","order_by":2,"name":"Alexi Olney","email":"","orcid":"","institution":"San Diego State University","correspondingAuthor":false,"prefix":"","firstName":"Alexi","middleName":"","lastName":"Olney","suffix":""},{"id":501990463,"identity":"37a65780-5a63-452b-b2c7-1e51918adc91","order_by":3,"name":"Fernando T. Wakida","email":"","orcid":"","institution":"Universidad Autónoma de Baja California","correspondingAuthor":false,"prefix":"","firstName":"Fernando","middleName":"T.","lastName":"Wakida","suffix":""},{"id":501990464,"identity":"f9beaf47-b420-406e-94a7-43a6b0afaa82","order_by":4,"name":"Teresita de Jesus Piñon-Colin","email":"","orcid":"","institution":"Universidad Autónoma de Baja California","correspondingAuthor":false,"prefix":"","firstName":"Teresita","middleName":"de Jesus","lastName":"Piñon-Colin","suffix":""},{"id":501990466,"identity":"4b459495-10e8-4a03-b178-6df3523b0d00","order_by":5,"name":"George Youssef","email":"","orcid":"","institution":"San Diego State University","correspondingAuthor":false,"prefix":"","firstName":"George","middleName":"","lastName":"Youssef","suffix":""},{"id":501990469,"identity":"5e92dbca-3a53-497a-935b-c863f5c3e0c8","order_by":6,"name":"Alicia M. Kinoshita","email":"","orcid":"","institution":"San Diego State University","correspondingAuthor":false,"prefix":"","firstName":"Alicia","middleName":"M.","lastName":"Kinoshita","suffix":""}],"badges":[],"createdAt":"2025-08-05 17:53:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7303205/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7303205/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s43591-025-00164-3","type":"published","date":"2025-12-20T15:58:08+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":89410396,"identity":"4120d800-8e30-444d-b8d1-4bc6afe46395","added_by":"auto","created_at":"2025-08-19 16:05:36","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":78300,"visible":true,"origin":"","legend":"\u003cp\u003ePhotos of (a) an enclosure containing dry weathered samples secured to trays and (b) a tank containing Styrofoam samples and creek water.\u003c/p\u003e","description":"","filename":"Picture1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/e3d2ff2b9de2f02cd50811ae.jpg"},{"id":89410397,"identity":"eb199d46-450f-4bf0-9391-d797fd67f2b8","added_by":"auto","created_at":"2025-08-19 16:05:36","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":143714,"visible":true,"origin":"","legend":"\u003cp\u003eDistribution of top 20 items found in trash surveys of the San Diego River riparian zone, averaged over the period of 2018 – 2023 and shown a) as a percent of total and b) by annual count.\u003c/p\u003e","description":"","filename":"Picture2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/5166d8455fbc881c4995a4eb.jpg"},{"id":89411083,"identity":"e7887bc6-28c6-4392-8fca-69612a9cea18","added_by":"auto","created_at":"2025-08-19 16:13:36","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":122395,"visible":true,"origin":"","legend":"\u003cp\u003ePhotographs of pristine compared to dry (top panel) and wet (bottom panel) weathered samples after 271 days for a) PS food container, b) PES blanket, c) PP face mask, and d) PES tent.\u003c/p\u003e","description":"","filename":"Picture3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/98e983a39c93b723131757e6.jpg"},{"id":89410398,"identity":"86bf1903-355d-4b1b-9c59-5e65da7a8d8b","added_by":"auto","created_at":"2025-08-19 16:05:36","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":468911,"visible":true,"origin":"","legend":"\u003cp\u003eSEM images of unweathered (pristine), dry weathered, and wet weathered samples of fibrous polymers, cigarette filter, medical mask, blanket, and tent. Some wet weathered items could not be imaged.\u003c/p\u003e","description":"","filename":"Picture4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/648a56ba850685c4b3b5d0fe.jpg"},{"id":89410402,"identity":"3b2d8fb7-7bff-4184-a991-30fbeb6b5fe3","added_by":"auto","created_at":"2025-08-19 16:05:36","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":183679,"visible":true,"origin":"","legend":"\u003cp\u003eSEM images of pristine and 271-day dry weathered bags and water bottle samples. One dry weathered and all wet weathered items could not be imaged.\u003c/p\u003e","description":"","filename":"Picture5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/22fa846bba7befadad23dd64.jpg"},{"id":89410400,"identity":"a73a44da-74b8-442c-b310-767cc9473613","added_by":"auto","created_at":"2025-08-19 16:05:36","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":379291,"visible":true,"origin":"","legend":"\u003cp\u003eSEM images of pristine and 271-day weathered food container samples. Some wet weathered items could not be imaged.\u003c/p\u003e","description":"","filename":"Picture6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/86f2ca7397c65838e150b22f.jpg"},{"id":89411085,"identity":"8709f213-f875-487f-b000-dc355962ee80","added_by":"auto","created_at":"2025-08-19 16:13:36","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":101689,"visible":true,"origin":"","legend":"\u003cp\u003eDensity for unweathered (pristine) and 271-day dry and wet weathered samples. The density of the dry, weathered, thin bag was not measured due to the level of degradation. Black horizontal line marks the average density of water at 20 ºC (~0.998 g/mL). Asterisk indicates significant differences (\u003cem\u003ep \u003c/em\u003e\u0026lt; 0.05).\u003c/p\u003e","description":"","filename":"Picture7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/e47752a3f7772403964ae739.jpg"},{"id":89411087,"identity":"d137cba7-d469-4012-9087-e3b6dbcda0bf","added_by":"auto","created_at":"2025-08-19 16:13:37","extension":"jpg","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":80499,"visible":true,"origin":"","legend":"\u003cp\u003ePristine and dry weathered thin LDPE bag (a) and (b), respectively, and pristine and dry weathered PP mask (c) and (d), respectively, after 271 days of weathering. Fragmentation appears only in the dry weathered samples. Dimensions of each sample are 5 cm × 15 cm.\u003c/p\u003e","description":"","filename":"Picture8.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/2536ba2f91fba2a04828d412.jpg"},{"id":89410442,"identity":"2e9a793e-52f0-4869-967f-06719b690f35","added_by":"auto","created_at":"2025-08-19 16:05:38","extension":"jpg","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":212385,"visible":true,"origin":"","legend":"\u003cp\u003ePhotographs of representative samples (~5 cm × ~7 cm) from unweathered (pristine), dry weathered, and wet weathered conditions are presented in order (left to right) of most to least degraded after tumbling. *Dry weathered LDPE thin bag fragmented under normal handling and could not be tumbled. ** One of the triplicate pristine and dry CA cigarette filters and all of the triplicate wet CA cigarette filters were lost or frayed during tumbling so that they could not be recovered; therefore, these are not ranked.\u003c/p\u003e","description":"","filename":"Picture9.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/262a32b80b786a4ce9de222c.jpg"},{"id":98813981,"identity":"172ade67-361e-4ec9-8c35-083b3c989852","added_by":"auto","created_at":"2025-12-22 16:09:00","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2762750,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/38b2a476-c763-4ba3-a053-40eb9e454fa1.pdf"},{"id":89411509,"identity":"1d58e8b2-2e33-4baa-b4b3-a5393f93dad5","added_by":"auto","created_at":"2025-08-19 16:21:37","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":11937398,"visible":true,"origin":"","legend":"","description":"","filename":"SI1SupplementalInformationv2.docx","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/053342f87f26f1d820c6ac34.docx"},{"id":89410438,"identity":"75471585-af7f-4b65-87fd-56c9955950bf","added_by":"auto","created_at":"2025-08-19 16:05:38","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":25229809,"visible":true,"origin":"","legend":"","description":"","filename":"SI2SupplementalPhotos.docx","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/b2d83f7a40df1e8a5843b4cc.docx"},{"id":89410404,"identity":"1b68de6a-e718-4db8-b298-3bd9c3849818","added_by":"auto","created_at":"2025-08-19 16:05:36","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":4711715,"visible":true,"origin":"","legend":"","description":"","filename":"SI3SupplementalFTIRv2.docx","url":"https://assets-eu.researchsquare.com/files/rs-7303205/v1/c2a3d0d8da649b7af287fd03.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eMarine Debris in River Margins: Wet and Dry Weathering Effects on the Fragmentation and Degradation of Discarded Plastic\u003c/p\u003e","fulltext":[{"header":"1. INTRODUCTION","content":"\u003cp\u003eAn estimated 4.8\u0026ndash;12.7\u0026nbsp;million tons of plastic waste are transported to the ocean each year from land-based sources\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e. Trash originating from river margins has been identified as an important and overlooked source of marine debris in the San Diego River, California (CA), United States (US) \u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e. Trash in river margins may stem from illegal roadside dumping\u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e, inadequate solid waste management of homeless encampments\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e, or forced abandonment during homeless encampments sweeps (Welsh, pers. comm.). While plastic is the most common material contributing to land-based debris in beach\u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e and river cleanups\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e,\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e, the environmental weathering of macroplastics in river margins remains to be better understood.\u003c/p\u003e\u003cp\u003eThe degradation and fragmentation of macroplastics into microplastics (\u0026lt;\u0026thinsp;5 mm) under realistic environmental conditions is an active area of research\u003csup\u003e\u003cspan additionalcitationids=\"CR8\" citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e. Many factors affect the degradation of macroplastics. However, extrinsic (e.g., environmental, climatic, and river characteristics) and intrinsic properties (e.g., material chemistry and shape) of the items are essential for predicting the fragmentation of disposed items\u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e. Liro et al. \u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e found that fragmentation from intrinsic properties was a function of polymer composition, degree of previous weathering, and the surface area-to-mass (SA:mass) ratios of the macroplastic. Under various experimental scenarios involving biochemical and mechanical fragmentation, different polymers had a wide range of fragmentation rates, but the most common outcome was that polystyrene (PS) and expanded polystyrene (EPS) exhibited the greatest amount of fragmentation; by contrast, low-density polyethylene (LDPE), polypropylene (PP), and polyethylene terephthalate (PET) were more resistant to fragmentation\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e. Liro et al.\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e also observed that intrinsic properties bidirectionally interacted with each other. In other words, a high SA:mass ratio will increase the fragmentation of a rigid PP macroplastic, and a more compact shape can decrease the fragmentation of a less durable PS macroplastic. Liro et al. \u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e called for more studies, specifically in river systems, to test these hypotheses and increase understanding of secondary micro- and nano-plastic production. Such studies are also critical because the polymeric material (e.g., polystyrene) and specific items (e.g., plastic shopping bags) are targeted in legislation towards reducing microplastics in the environment. For example, many countries have bans or levies on single-use plastics (SUP), and SUP bags being the most regulated item worldwide\u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u003c/sup\u003e. Also, governments are increasingly promoting the regulation of other plastic items (such as food packaging, textiles, and tires)\u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u003c/sup\u003e. Therefore, understanding how specific items respond to weathering is also essential for informing ongoing and future policies aimed at mitigating the proliferation of microplastics.\u003c/p\u003e\u003cp\u003eEnvironmental exposure also affects the gravimetric properties (eg., density and buoyancy) and other physicochemical properties of polymers, ultimately influencing their fate, including downstream transport or burial, and potentially impacting the design of trash capture devices. Helinski et al.\u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e revealed that very few devices are capable of capturing submerged plastics, highlighting an urgent need for improved understanding of the fate of plastic debris in marine and freshwater environments. Consequently, weathering studies that evaluate the effects on gravimetric and physicochemical properties are essential under relevant environmental conditions. Increased scientific attention is also required for materials deposited in riparian zones, rivers, or other freshwater bodies, as this is often where fragmentation first occurs. Further, these locations are ideal for the effective implementation of debris management solutions, including trash capture devices and collection programs.\u003c/p\u003e\u003cp\u003eTo address these gaps, this study evaluated the fragmentation and fate of macroplastics in an urban river margin. We used wet and dry microcosm experiments lasting 271 days to simulate: 1) debris weathering on the land surface (dry weathering) and 2) debris weathering in the water column (wet weathering). Ten common discarded items, composed of different polymers and varying SA:mass ratios, were selected based on studies of urban watersheds and trash surveys conducted in the San Diego River riparian zone\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e. Physical measurements, scanning electron microscopy, and attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FTIR) were used to assess the impact of wet and dry environmental exposures on fragmentation, mass, density, chemical structure, and material surface features. Finally, to assess the effects of turbulent riverine transport on fragmentation, pristine, wet weathered, and dry weathered materials were subjected to a river tumbling simulator.\u003c/p\u003e"},{"header":"2. METHODS","content":"\u003ch2\u003e2.1. \u0026nbsp; Field microcosm experiments\u003c/h2\u003e\n\u003cp\u003eTwo types of microcosm experiments were set up to simulate wet and dry weathering conditions. Microcosm experiments utilized commercially available items placed in outdoor enclosures located in a fenced area on the San Diego State University (SDSU) campus (latitude/longitude 32.778270, -117.069180) within 60 m of the south bank of Alvarado Creek. The site received partial shade, similar to conditions that may occur due to the adjacent canopy in the riparian zone of an urban stream in San Diego. The wet and dry weathering microcosm experiments took place over 271 days, from October 2022 through July 2023.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe selection of items for weathering (Table 1) was guided by beach cleanup studies\u003csup\u003e15\u003c/sup\u003e and trash surveys conducted by the San Diego River Park Foundation\u003csup\u003e14\u003c/sup\u003e from 2018 to 2022 at locations shown in Figure S1-1. Among the most commonly reported items, we selected blankets, tents, plastic bags, plastic water bottles, and single-use food containers. We also included cigarette filters, which are typically the most abundant item (by count) in beach cleanup activities\u003csup\u003e15\u003c/sup\u003e. Following the COVID-19 pandemic and rise in use and disposal of single-use PP medical masks\u003csup\u003e16\u003c/sup\u003e, these were added to the selected items (Table 1). Three types of single-use food containers were included in this study: polystyrene (PS), polypropylene (PP), and an advertised \u0026ldquo;bioplastic\u0026rdquo; (comprising PP and calcium carbonate (CC)). To represent plastic bag debris, two thicknesses of low-density polyethylene (LDPE) bags were selected: thin (0.029 mm) and thick (0.102 mm). Tent and blanket samples were composed of polyester (also referred to as polyethylene terephthalate, PET) with thicknesses of 0.1 mm and 0.5 mm, respectively. All of the items selected are made using polymeric materials; therefore, macrodebris items will be referred to as macroplastics hereafter.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1.\u0026nbsp;\u003c/strong\u003eDescriptions of selected items, including polymer, color, mean mass, mean thickness, and mean SA:mass ratio (\u0026plusmn; standard deviation based on six replicates) of experimental samples and reason for selection.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"660\" class=\"fr-table-selection-hover\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003eStock Image\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eProduct\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003ePolymer Type\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eColor\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003eMass (g)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003eThickness\u0026sup1; (mm)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003eSA:mass ratio\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eReason for Selection\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eCigarette Filter\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003eCellulose Acetate (CA)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eWhite\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.154 \u0026plusmn; 0.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003eNM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003eNC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eMost abundant in beach cleanups\u003csup\u003e15\u003c/sup\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003cimg src=\"data:image/png;base64,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\"\u003e\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eBlanket\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003ePolyester (PET)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eRed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e2.76 \u0026plusmn; 0.017\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003e0.489 \u0026plusmn; 0.013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003e170.8 \u0026plusmn; 1.07\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eAmong top 20 items in river margin cleanups (this study)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eTent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003ePolyester (PET)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eGreen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e2.15 \u0026plusmn; 0.030\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003e0.105 \u0026plusmn; 0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003e218.9 \u0026plusmn; 3.02\u003c/p\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eAmong top 20 items in river margin cleanups (this study)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eMask\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003eThree layers of poly-propylene (PP)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eLight blue and white\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1.86 \u0026plusmn; 0.026\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003e0.281 \u0026plusmn; 0.014\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003e759.5 \u0026plusmn; 10.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eProportion of masks in litter increased by \u0026gt;80-fold because of COVID-19 legislation\u003csup\u003e16\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eThick Bag\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003eLow Density Polyethylene (LDPE)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eBlack\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.76 \u0026plusmn; 0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003e0.102 \u0026plusmn; 0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003e198.24 \u0026plusmn; 1.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eOne of most common in stormwater debris\u003csup\u003e17\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eThin Bag\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003eLow Density Polyethylene (LDPE)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eWhite\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.14 \u0026plusmn; 0.003\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003e0.029 \u0026plusmn; 0.0004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003e1094.33\u0026nbsp;\u0026plusmn; 20.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eOne of most common in stormwater debris\u003csup\u003e17\u003c/sup\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eWater Bottle\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003ePolyethylene Terephthalate (PET)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eClear\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e5.02 \u0026plusmn; 0.017\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003e0.428 \u0026plusmn; 0.016\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003e30.22\u0026nbsp;\u0026plusmn;\u003c/p\u003e\n \u003cp\u003e0.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eAmong top 20 items in river margin cleanups (this study)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eFood container\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003ePolystyrene (PS)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eWhite\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1.21 \u0026plusmn; 0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003e2.68 \u0026plusmn; 0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003e133.14\u0026nbsp;\u0026plusmn;\u003c/p\u003e\n \u003cp\u003e0.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eAmong top 20 items in river margin cleanups (this study)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eFood Container\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003ePoly-propylene (PP)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eBlack\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e6.68 \u0026plusmn; 0.212\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003e0.734 \u0026plusmn; 0.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003e22.90\u0026nbsp;\u0026plusmn;\u003c/p\u003e\n \u003cp\u003e0.73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eAmong top 20 items in river margin cleanups (this study)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" alt=\"image\"\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eFood container\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 83px;\"\u003e\n \u003cp\u003e\u0026ldquo;Bioplastic\u0026rdquo; PP + Calcium Carbonate (PP + CC)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eWhite\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e5.93 \u0026plusmn; 0.056\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 68px;\"\u003e\n \u003cp\u003e0.448 \u0026plusmn; 0.012\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003e25.58\u0026nbsp;\u0026plusmn;\u003c/p\u003e\n \u003cp\u003e0.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 167px;\"\u003e\n \u003cp\u003eSelected for comparison with PP food container.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026sup1;NM = not measured due to shape; NC = surface area and ratio could not be calculated\u0026nbsp;\u003c/p\u003e\n\u003ch3\u003e2.1.1.\u0026nbsp;Sample preparation\u003c/h3\u003e\n\u003cp\u003eSelected items were purchased new and cut down using stainless steel scissors to 5 cm \u0026times; 15 cm rectangular shapes, except for the cigarette filters. To prevent additional degradation and wear on the cut sides, the edges of the tent and mask were folded and sewn, and the edges of the blanket were sealed using heat from an open flame, thereby preventing fraying. Filters of unsmoked cigarettes were separated from the tobacco portion and the paper wrapper. Sets of six replicates of each item were prepared for placement into dry exposures and wet exposures with creek water. An additional six replicates of the PP and the bioplastic food containers were prepared for placement into wet exposures with deionized (DI) water to evaluate the effects of creek chemistry and biology on wet weathering. Due to logistical constraints, only PP and bioplastic food containers were selected, as assessing the degradation of bioplastic compared to PP was also of interest. To distinguish the replicates, each sample was demarked by melting small holes (corresponding to the count) in the more rigid plastics and sewing tallies into the \u0026ldquo;fabric\u0026rdquo; samples. These modifications were placed in hemmed areas or corners and were outside the regions used for analysis.\u0026nbsp;\u003c/p\u003e\n\u003ch3\u003e2.1.2.\u0026nbsp;Dry and wet weathering experiments\u003c/h3\u003e\n\u003cp\u003eThe goal of the \u0026ldquo;dry weathering\u0026rdquo; microcosm experiment was to simulate the conditions present under environmental exposure along a riverbank. Therefore, \u0026ldquo;dry weathered\u0026rdquo; samples were subject to natural sunlight, temperature, wind, and rain conditions. Dry weathered samples were not covered during rain events and were not exclusively dry for the entire weather period of 271 days. Samples were secured in magnetic frames, which had adhesive backing and were affixed to trays to prevent them from being dislodged by wind (Figure 1a). Cigarette filters were unwrapped to remove the filter paper and placed into small, galvanized metal mesh cages to prevent corrosion and labeled with the replicate number. All trays were placed inside dog kennel enclosures, approximately 1.20 m \u0026times; 0.76 m \u0026times; 0.81 m, to minimize external interference. Additionally, the site was fenced and locked to deter tampering or disruption of the samples.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026ldquo;Wet weathered\u0026rdquo; samples (six replicates of each debris item) were placed into glass rectangular aquarium tanks 0.41 m \u0026times; 0.20 m \u0026times; 0.25 m filled with 16 L of water collected from Alvarado Creek, which was refreshed every two weeks (Figure 1b). Two additional tanks were filled with DI water, holding the PP and bioplastic samples. To track the cigarette filters during wet weathering, each was placed in its separate container and submerged in the glass tank. The tanks were also placed inside dog kennel enclosures, which were covered with a clear plastic tarp during rain events to prevent rainwater entry and tank overflow.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eEnvironmental conditions for the weathering experiments and water quality of the wet weathered microcosms are described in SI-1 Methods.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eModeled irradiance for San Diego, CA, is provided in Table S1.\u003c/p\u003e\n\u003ch2\u003e2.2. \u0026nbsp; Tumbling experiments\u003c/h2\u003e\n\u003cp\u003eThree of the six replicates of pristine and weathered items were further exposed to tumbling and abrasion conditions from August through November 2023 to study the mechanical degradation of debris during simulated riverine transport. A YARDMAX concrete mixer with a capacity of 45,307 cm\u003csup\u003e3\u003c/sup\u003e was filled with ~5.7 kg of quartz sand (occupying 4 L), two ~5 cm diameter cobbles obtained from Alvarado Creek, and 8 L of tap water (refer to Figure S1-2). Alvarado Creek is characterized by sandy loam with cobbles in steep sections (O\u0026rsquo;Marah, unpublished, 2020). The ratio of ~50% sediment-to-liquid slurry is representative of suspended sediment concentrations (SSC) near the channel bed. Ponce\u003csup\u003e18\u003c/sup\u003e estimated that a distance level of 0.1 of the channel depth has \u0026gt;10% of the total SSC, and a distance level of 0.02 of the channel depth has \u0026gt;50% of the total SSC, but varies depending on particle size, flow intensity, turbulence characteristics, and other site-specific factors.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWet weathered, dry weathered, and pristine triplicates of each item type (totaling nine items) were cut in half crosswise (with a new size of ~5 cm \u0026times; ~7 cm); the other half was reserved for microbial community analyses for a companion study. The pieces were placed into the mixer simultaneously and tumbled for 2 h at 29 rpm (the fixed speed of the mixer). The duration of mixing is less than the time of concentration for Alvarado Creek (4 h), from the watershed boundary to the SDSU site. The tumbling time was determined based on experimental logistics and availability. \u0026nbsp;\u003c/p\u003e\n\u003ch2\u003e2.3. \u0026nbsp; Physical analyses\u003c/h2\u003e\n\u003cp\u003eAll items in the current study were visually inspected and photographed over time and after tumbling (Figure S2-1 to S2-95) with an iPhone 12 camera (12 megapixels). Every 90 days, sample mass (M) was measured. The average thickness of each sample was measured using a Rexbeti digital micrometer based on three measurements (top, bottom, middle). Scanning electron microscopy was performed using a FEI Quanta 450 field-emission scanning electron microscope equipped with an Everhart-Thornley detector (ETD). Samples were cut and coated with 6 nm platinum using an EMS 150 sputter coater to prevent surface charging (refer to SI-1 Methods for more information on SEM characterization).\u003c/p\u003e\n\u003cp\u003eOn days 0 and 271, buoyancy and density of all samples were quantified. The density of the samples was measured according to ASTM D792-20. Buoyancy was measured by placing triplicate strips of each sample into tap water (specific conductivity of 986 \u0026plusmn; 1.83 \u0026micro;S/cm), gently pushing the sample below the water surface to break surface tension, and recording buoyancy after at least 2 min. Notably, the Alvarado Creek water used in the wet weathering microcosms had higher specific conductivity than tap water, ranging from 1400 to 4300 \u0026micro;S/cm (Figure S1-3).\u003c/p\u003e\n\u003ch2\u003e2.4. \u0026nbsp; Fragmentation rate\u0026nbsp;\u003c/h2\u003e\n\u003cp\u003eThe rate of fragmentation was estimated for items that had visible fragments or mass loss during the weathering period. We used the exponential fit (Eqn. 1) for the period beginning with the observation day immediately preceding fragmentation (I). Data were fit to the equation,\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eN\u003c/em\u003e = \u003cem\u003eN\u003csub\u003e0\u003c/sub\u003e\u003c/em\u003e \u0026middot; e \u003cem\u003e\u003csup\u003ek (t-I)\u003c/sup\u003e\u003c/em\u003e (1)\u003c/p\u003e\n\u003cp\u003ewhere, \u003cem\u003eN\u003c/em\u003e is the number of fragments at time t, \u003cem\u003eN\u003csub\u003e0\u003c/sub\u003e\u0026nbsp;\u003c/em\u003eis equal to 1.0, and \u003cem\u003ek\u003c/em\u003e is the fragment generation rate constant.\u003c/p\u003e\n\u003ch2\u003e2.5. \u0026nbsp; ATR-FTIR characterization\u003c/h2\u003e\n\u003cp\u003eATR-FTIR scans were conducted on triplicate samples from wet and dry weathering microcosms using an FTIR spectrometer (Thermo Scientific Nicolet iS5) equipped with attenuated total reflection (ATR) accessories. Spectra were acquired in reflection mode with wavelengths ranging from 400 to 4000 cm\u003csup\u003e-1\u003c/sup\u003e, with 30 scans at a resolution of 10 cm\u003csup\u003e-1\u003c/sup\u003e. Sample spectra were matched to the polymer by comparing bands corresponding to specific chemical functional groups, as reported in the literature.\u003c/p\u003e\n\u003ch2\u003e2.6. \u0026nbsp; Statistical analysis\u003c/h2\u003e\n\u003cp\u003eThe significance of differences in mass and thickness of the weathered samples compared to the pristine materials was tested with a paired, one-tailed homoscedastic t-test. A \u003cem\u003ep\u003c/em\u003e-value of less than 0.05 indicates a significant difference.\u0026nbsp;\u003c/p\u003e"},{"header":"3. Results","content":"\u003cp\u003eOur synthesis of trash survey data recorded by SDRPF\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e between 2018 to 2023 revealed that most of the large debris consisted of plastics (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The most common items (\u0026gt;\u0026thinsp;10% contribution) surveyed between 2018 to 2023 were shopping carts, tents, and tarps Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e), which are often associated with homeless encampments. Single-use plastic bags, bottles, and food storage items were also identified in our study (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Seven of the items we used in microcosm experiments (tent, blanket, bottle, foam, packaging, mask, and bag) were among the top 20 macrodebris items in homeless encampment cleanups along the San Diego River.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eWet and dry weathering effects on sample properties\u003c/p\u003e\u003cp\u003eDiscoloration\u003c/p\u003e\u003cp\u003eAll the items in the wet and dry microcosms experienced discoloration over 271 days of environmental exposure. Compared to bands of near-original color, the sunlight-exposed areas of dry weathered samples experienced a lightening (e.g., for the red PES blanket and other dark colored items) and a yellowing of the lighter-colored plastics (e.g., tanning of the white PS food container) (see Figs.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ea and \u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eb for examples of representative images of dry weathered samples). While, color changes were most visible on the sunlight-exposed side of the items, the undersides of some items (e.g., tent) also had visible changes compared to their unweathered versions.\u003c/p\u003e\u003cp\u003eBy contrast, the wet weathered items typically had a darkening of the material, resulting primarily from the presence of biofilms, algae, and other organic and inorganic debris (Figs.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ec and \u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ed). Differences in microbial biomass of wet weathered items also were visible on the sunlight-exposed surfaces. The sunlight-exposed top side had greater biofilm formation than the bottom, suggesting the role of photosynthesis in biofilm formation. Further, samples that sank to the bottom of tanks had less biofilm formation, likely due to reduced sunlight exposure.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eSEM-imaged degradation features\u003c/p\u003e\u003cp\u003eScanning electron microscopy was performed on pristine and weathered samples to probe microscopic signs of weathering. Compared to pristine samples (Figs.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e, top panels), most of the dry weathered sample SEM images had substantial degradation (Figs.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e, middle panels). Due to excessive damage to SEM apertures from debris on the wet weathered samples, SEM imaging was performed on only four of the wet weathered materials analyzed in this study. All images showed evidence of biological growth, which was substantially higher under wet-weathering conditions than under dry weathering (Figs.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e, bottom panels).\u003c/p\u003e\u003cp\u003e\u003cb\u003eFibrous polymers\u003c/b\u003e. Degradation in dry weathered cigarette filter, mask, and blanket samples, manifested as erosion, bending, and breakage of the fibers. These degradation attributes were present in multiple layers of the dry weathered medical mask (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Dry weathering of the tent\u0026rsquo;s tightly woven PES fibers resulted in only minor displaced and slightly unpacked yarns compared to the pristine counterpart. Blanket and tent samples accumulated greater amounts of dust and biological material than dry weathered samples, potentially due to the affinity for algal growth in the nutrient-rich creek water.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eBags and bottle\u003c/b\u003e. Due to extensive weathering and fragmentation of the thin LDPE bag under dry weathering conditions, it was not possible to obtain its SEM images. The thick bag and water bottle materials remained intact after weathering; yet showed formation of surface agglomerates or detached material (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e), which may represent microplastic formation or attached debris from the environment. The thick LDPE bag also experienced scratches, pits, and grooves. Similarly, for the water bottle, scratches present in the pristine samples increased in number and deepened into pits and grooves.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eFood containers.\u003c/b\u003e The pristine Styrofoam food container\u0026rsquo;s bubble-like structures burst after dry weathering, resulting in flaking; however, this did not occur in the wet weathered samples (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e). The PP food container showed evident signs of crazing, or micro-voids, after dry weathering\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u003c/sup\u003e. Pitting was also visible in the bioplastic sample after dry weathering (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e). We observed attached biological cells and films in materials wet weathered with creek water, however, there was no evidence of biological growth on bioplastic material surfaces when weathered in DI water.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003ePolymer identification and degradation\u003c/p\u003e\u003cp\u003eComparisons of the identified ATR-FTIR spectral peaks to their respective reference characteristics showed that all expected polymer types were confirmed. FTIR spectra of samples are found in Figures \u003cspan refid=\"MOESM3\" class=\"InternalRef\"\u003eS3\u003c/span\u003e-1 to S3-20, and listings of their main chemical bonds and wavenumbers compared to reference material are given in Tables S3-1 to S3-10. The only notable differences between the spectra of wet and dry weathered samples were observed for the peaks at 1713 cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, corresponding to the carbonyl group (C\u0026thinsp;=\u0026thinsp;O), and at 1044 cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, corresponding to the C-O unsaturated group. Other studies have referred to the changes associated with these peaks as a product of photooxidation\u003csup\u003e\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e,\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e, which may lead to increased brittleness\u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e. The carbonyl peak appeared more prominently in the dry weathered samples, like the thick and thin LDPE bags (Figures \u003cspan refid=\"MOESM3\" class=\"InternalRef\"\u003eS3\u003c/span\u003e-10 and S3-12), than in the pristine or wet weathered samples of the same type. The C-O unsaturated group peak was observed in both wet and dry weathered samples and was also more pronounced for the thick and thin LDPE bags (Figures \u003cspan refid=\"MOESM3\" class=\"InternalRef\"\u003eS3\u003c/span\u003e-10 and S3-12).\u003c/p\u003e\u003cp\u003eAll PP, PS, and LDPE wet weathered samples had decreased transmittance compared to pristine samples, which may be due to biological growth and secretions that may weaken the polymer\u003csup\u003e\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e. Also, a hydroxyl peak at ~\u0026thinsp;3300 cm⁻\u0026sup1;, which is an indicator of polymer biodegradation,\u003csup\u003e\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e,\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e was observed in all wet weathered samples, except for the PET bottle and PET tent. This bond is present in various organic and inorganic compounds, including carboxylic acids, alcohols, phenols, and water. This peak was predominantly observed in the wet cigarette filter (Figure \u003cspan refid=\"MOESM3\" class=\"InternalRef\"\u003eS3\u003c/span\u003e-2), wet PET polyester blanket (Figure \u003cspan refid=\"MOESM3\" class=\"InternalRef\"\u003eS3\u003c/span\u003e-4), wet medical mask PP (Figure \u003cspan refid=\"MOESM3\" class=\"InternalRef\"\u003eS3\u003c/span\u003e-8), wet thick bag (Figure \u003cspan refid=\"MOESM3\" class=\"InternalRef\"\u003eS3\u003c/span\u003e-10), and wet PP food container (Figure \u003cspan refid=\"MOESM3\" class=\"InternalRef\"\u003eS3\u003c/span\u003e-18) samples.\u003c/p\u003e\u003cp\u003eMass and thickness change\u003c/p\u003e\u003cp\u003eAll samples experienced mass change over the 271-day weathering period (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). With the exception of cigarette filters, all of the samples weathered in creek water increased in mass. However, those weathered in DI water did not change significantly. This is likely due to the growth of biofilm on the sample surfaces (Figs.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ec and \u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ed). Biofilm growth on samples in DI was noticeably lower (SI-2). A significant decrease in mass occurred in three of the dry weathered samples: cigarette filter (4.6%), mask (25%), and thin bag (13%), presumably due to the loss of fibers, flakes, and other material noted in SEM micrographs.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eMean percent change\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e in mass and thickness of dry weathered, wet weathered, and DI weathered samples from day 0 to 271.\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"7\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSamples\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003eMass change (%)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e\u003cp\u003eThickness change (%)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eDry\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eWet \u0026ndash; creek\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eWet \u0026ndash; DI water\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eDry\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eWet \u0026ndash; creek\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eWet \u0026ndash; DI water\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCigarette Filter\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-4.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e-2.1\u0026thinsp;\u0026plusmn;\u0026thinsp;7.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003en/a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003en/a\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eBlanket\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1.2\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e32\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e79 \u0026plusmn; 14*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e83\u0026thinsp;\u0026plusmn;\u0026thinsp;8.8*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTent\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-1.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e22\u0026thinsp;\u0026plusmn;\u0026thinsp;3.8*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-10\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e34\u0026thinsp;\u0026plusmn;\u0026thinsp;5.4*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMask\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-25\u0026thinsp;\u0026plusmn;\u0026thinsp;4.9*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e37\u0026thinsp;\u0026plusmn;\u0026thinsp;5.3*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-2.5\u0026thinsp;\u0026plusmn;\u0026thinsp;6.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e104\u0026thinsp;\u0026plusmn;\u0026thinsp;8.8*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eThick Bag\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1.6\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e8.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-5.5\u0026thinsp;\u0026plusmn;\u0026thinsp;8.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e8.6\u0026thinsp;\u0026plusmn;\u0026thinsp;4.0*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eThin Bag\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-13\u0026thinsp;\u0026plusmn;\u0026thinsp;6.3*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e65\u0026thinsp;\u0026plusmn;\u0026thinsp;3.3*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003end\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e148\u0026thinsp;\u0026plusmn;\u0026thinsp;32*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eWater Bottle\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2.1\u0026thinsp;\u0026plusmn;\u0026thinsp;0.9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-7.0\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2.9\u0026thinsp;\u0026plusmn;\u0026thinsp;1.9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eStyrofoam\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-0.12\u0026thinsp;\u0026plusmn;\u0026thinsp;0.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e19\u0026thinsp;\u0026plusmn;\u0026thinsp;6.2*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e3.8\u0026thinsp;\u0026plusmn;\u0026thinsp;11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.4\u0026thinsp;\u0026plusmn;\u0026thinsp;12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e-\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFood Container\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.04\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e4.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.12\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e4.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e7.5\u0026thinsp;\u0026plusmn;\u0026thinsp;7.2*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e4.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8*\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eBioplastic\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.42\u0026thinsp;\u0026plusmn;\u0026thinsp;0.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2.4\u0026thinsp;\u0026plusmn;\u0026thinsp;0.24*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e7.3\u0026thinsp;\u0026plusmn;\u0026thinsp;3.1*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e11\u0026thinsp;\u0026plusmn;\u0026thinsp;4.9*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e6.5\u0026thinsp;\u0026plusmn;\u0026thinsp;3.6*\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e* indicates that an increase or decrease in mass is significant (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05).\u003c/p\u003e\u003cp\u003e\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e Dashes represent no wet weathering in DI water; \u0026ldquo;n/a\u0026rdquo; indicates that sample thickness could not be measured due to shape; \u0026ldquo;nd\u0026rdquo; indicates that sample thickness was below detection.\u003c/p\u003e\u003cp\u003eSeven of the wet weathered samples and only three of the dry weathered samples had significant increases in thickness (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05) over the 271-day weathering period (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Under dry weathering, there were significant decreases in thickness for the tent and water bottle samples, at 10% and 7%, respectively. Increases in thickness could be due to expansion of the material and biofilm formation on its surface, while decreases could be due to material loss or compression.\u003c/p\u003e\u003cp\u003eDensity and buoyancy\u003c/p\u003e\u003cp\u003eOf the 10 wet weathered material types analyzed, seven had statistically significant increases in density after weathering (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e7\u003c/span\u003e), including cigarette filters, blankets, tents, masks, Styrofoam, PP food containers, and bioplastics. All these samples had biofilm formation, which may contribute to the increased density. In addition, the cigarette filter, blanket, tent, and thin LDPE bag samples, which began the weathering experiments with a density similar to or less than water (average water density of 1 g/ml), became significantly denser than water after 271 days of wet weathering. These samples also sank during buoyancy testing despite floating at the start of the experiments (on day 0). Only the wet weathered water bottle samples had a significant decrease in density compared to unweathered samples after 271 days.\u003c/p\u003e\u003cp\u003eUnder dry conditions, three items had statistically significant density changes after 271 days of weathering. The cigarette filter and blanket became denser, while the dry weathered bioplastic container\u0026rsquo;s density was significantly lower than that of the unweathered counterpart. All other samples remained nearly unchanged after dry weathering. Approximately 80% of the calculated densities agreed with the results of buoyancy testing (Table \u003cspan refid=\"MOESM2\" class=\"InternalRef\"\u003eS2\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eFragmentation\u003c/p\u003e\u003cp\u003eDry weathering was the only condition that resulted in quantifiable fragmentation for two materials: the thin LDPE bag and the PP mask (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e8\u003c/span\u003e). Changes in the surface characteristics of the Styrofoam sheet on day 271 also suggest that fragments were lost, but it was not possible to quantify these fragments.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe thin LDPE bag began to fragment into two distinct pieces at day 233. After 271 days of weathering, each replicate broke into 3 to 6 fragments, but some fragments were lost (presumably windblown) and could not be counted. The mean and standard deviation of the first-order fragmentation rate, \u003cem\u003ek\u003c/em\u003e, for the six replicates were 0.0144\u0026thinsp;\u0026plusmn;\u0026thinsp;0.0025 day⁻\u0026sup1;. This suggests a forecasted rate of ~\u0026thinsp;1900 fragments/m\u0026sup2; of LDPE thin bag after the first year of weathering (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e) and ~\u0026thinsp;600,000 fragments/m\u0026sup2; after two years. Calculated fragmentation rates are conservative for two reasons: 1) securing the items under magnetic frames minimized physical disruption that could promote more rapid fragmentation, and 2) early shedding of microplastics from polymer surfaces early in the weathering process\u003csup\u003e\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u003c/sup\u003e was not accounted for in our study.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eFragmentation rates and predicted numbers of fragments produced in the first year of weathering, calculated for the LDPE thin bag and the PP mask layers. The standard deviations are given in parentheses.\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"4\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eItem\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003eFragmentation rate, \u003cem\u003ek\u003c/em\u003e (d\u003csup\u003e-\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eFragments per m\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e of material in the first year\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eLDPE thin bag\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e0.0144 (0.002)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1870\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ePP mask\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eFlakes\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eRods\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003etop blue layer\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.055 (0.010)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.078 (0.015)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e2.00 \u0026times; 10\u003csup\u003e12\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003emiddle white layer\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.031 (0.035)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.046 (0.051)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1.24 \u0026times; 10\u003csup\u003e12\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ebottom netting layer\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.015 (0.016)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.025 (0.027)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e2.54 \u0026times; 10\u003csup\u003e7\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eThe three-layered PP mask initially lost area in its top and middle layers on day 187. By the final observation date (day 271), the bottom layer also lost area. Lost mask areas (Figure \u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003e-4) and fragment numbers were estimated through microscopy and particle enumeration as described in the Supplemental Information. In total, 36 randomly selected fragments shed from masks were imaged using microscopy. Most fragments were either flakes, with a mean area of 0.2305 mm\u0026sup2; (\u0026plusmn;\u0026thinsp;0.85), or rods, with a mean area of 0.0044 mm\u0026sup2; (\u0026plusmn;\u0026thinsp;0.003). However, even smaller fragments were visible (Figure \u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003e-5). Using the same fragmentation rate calculation as for the LDPE thin bag, the top blue layer had the highest \u003cem\u003ek\u003c/em\u003e value of 0.055\u0026thinsp;\u0026plusmn;\u0026thinsp;0.010 day⁻\u0026sup1; for flakes and 0.078 day⁻\u0026sup1; \u0026plusmn; 0.015 day⁻\u0026sup1; for rods. This could potentially result in ~\u0026thinsp;2.00 \u0026times; 10\u0026sup1;\u0026sup2; fragments/m\u0026sup2; after one year of weathering (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eBased on visual observations, no other wet or dry weathered marine debris items produced measurable fragments in our microcosms. However, the dry weathered Styrofoam showed evidence of \u0026ldquo;chalking,\u0026rdquo; a process where a white powdery residue develops on the surface. Youssef\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u003c/sup\u003e and Gardi et al. \u003csup\u003e\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u003c/sup\u003e attributed this to hygrothermal stability of the polymer under these degradation conditions. The residue on the Styrofoam surface was not quantified due to the size limitations.\u003c/p\u003e\u003cp\u003eEffects of tumbling\u003c/p\u003e\u003cp\u003eThe effects of two hours of tumbling, which induces mechanical fragmentation\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e, were evident in the photos of pristine, dry weathered, and wet weathered samples (Fig.\u0026nbsp;\u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e9\u003c/span\u003e). The unweathered (pristine) samples were the least affected. Tumbling caused the greatest damage to dry weathered materials, leading to discoloration, denting or scratching, tearing, and fragment loss (Table \u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003e-3). This was especially true for the mask, Styrofoam and bioplastic food containers, and tent materials. Pieces of fragmented items were retrieved by sifting through the sand and water slurry after tumbling, but smaller fragments could not be recovered. For example, the dry weathered mask had entirely lost all three layers and internal components; only the hemmed sides remained (Fig.\u0026nbsp;\u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e9\u003c/span\u003e). The dry, weathered, thin plastic bag was so brittle that it could not be tumbled. In contrast, other materials (LDPE thick bag, PES blanket, PET bottle, and PP container) remained intact after tumbling (Fig.\u0026nbsp;\u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e9\u003c/span\u003e) and substantial pitting was observed in the thick plastic bag.\u003c/p\u003e\u003cp\u003eTumbling of wet weathered samples resulted in the tearing and breakage of Styrofoam, tent, and mask samples. Still, thin and thick LDPE bags, PP containers, PET bottles, and bioplastic containers did not exhibit significant visible changes.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eSome wet and dry weathered materials were discolored due to the tumbling process (Fig.\u0026nbsp;\u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e9\u003c/span\u003e), presumably as a result of abrasion from sand particles and rocks. All sets of cigarette filters, irrespective of the weathering conditions, had one or more replicates that could not be recovered from the sand and water slurry after tumbling. All three of the wet weathered cigarette filters could not be recovered.\u003c/p\u003e\u003cp\u003eAlthough some items, such as the PP and bioplastic food containers, did not tear or fragment after tumbling, SEM micrographs revealed damage in the form of pitting and deep gashes (Figure S6). Other items had holes (black spots in the SEM image of the thin bag), tears (tent), and deep gashes (thick bag and water bottle) where mass was lost due to tumbling (Figure S7).\u003c/p\u003e"},{"header":"4. DISCUSSION","content":"\u003cp\u003eThe riparian zone of the San Diego River is a significant source of land-based marine debris items\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e, such as tents, medical masks, and blankets, which are not often reported in studies of macroplastic weathering. This study evaluated the fragmentation that may occur due to ultraviolet radiation, temperature changes, and oxidation\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e during the wet and dry weathering of macroplastic items. Notably, 70% of the items studied herein are among the most frequently reported in trash surveys of the San Diego River riparian zone (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The evaluation of wet versus dry weathering under realistic conditions in southern California highlights their contrasting impacts on macroplastic fragmentation, providing important considerations for managing plastic trash and debris in riparian zones.\u003c/p\u003e\u003cp\u003eDry weathering degradation and fragmentation of the thin bag, Styrofoam, and mask\u003c/p\u003e\u003cp\u003eDry weathering in the riparian zone microcosm simulations resulted in the most extensive changes throughout the experimental period. While wet and dry weathered items exhibited discoloration after 271 days, the dry weathered items had greater visual evidence of degradation. Discoloration occurred due to photo-oxidation, leading to color fading and yellowing\u003csup\u003e\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e,\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e\u003c/sup\u003e. While results from ATR-FTIR did not show significant differences in chemical structures between wet and dry weathered samples, the C-O unsaturated group structures associated with photooxidation were more pronounced in weathered samples compared to pristine samples. Also, the dry weathered, thin and thick LDPE bag samples had decreased transmittance in the carbonyl group (C\u0026thinsp;=\u0026thinsp;O) regions compared to their wet weathered counterparts, which results from chemical structures produced by photooxidation\u003csup\u003e\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e,\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e, but also could be associated with morphology.\u003c/p\u003e\u003cp\u003eThe thin LDPE bag, the Styrofoam food container, and the medical mask only produced fragments under dry weathering conditions over the 271-day exposure period. The fragmentation patterns of these items are consistent with the continuum of intrinsic properties summarized by Liro et al. \u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e. Specifically, items with a greater SA:mass ratio fragment more than those with a lower SA:mass ratio and to a greater degree than items composed of more degradable polymers. For example, despite comprising more degradation resistant PP layers, the medical mask, which had a high SA:mass ratio of ~\u0026thinsp;760 cm\u003csup\u003e2\u003c/sup\u003e/g, was the first item to show signs of breaking and fragmentation as early as day 89. By contrast, the PS food container with a SA:mass ratio of 133 cm\u003csup\u003e2\u003c/sup\u003e/g), which tends to have a much higher rate of mechanical fragmentation than PP\u003csup\u003e\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e\u003c/sup\u003e, showed degradation later, with \u0026ldquo;chalking\u0026rdquo; and flaking on day 271. The thin LDPE bag, which had the highest SA:mass ratio of 1094 cm\u003csup\u003e2\u003c/sup\u003e/g, began to visibly fragment with cracks and large pieces appearing on day 233. Our results align with other studies that have shown a high degree of degradation for plastic bags and disposable medical masks. Rathinamoorthy and Balasaraswathi\u003csup\u003e\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u003c/sup\u003e conducted a similar outdoor weathering experiment and observed the release of microfibers was significantly higher for dry weathered masks than for those in freshwater and seawater.\u003c/p\u003e\u003cp\u003eIt is challenging to assess the number of microplastic fragments introduced to the environment from specific sources, given that items like plastic bags, Styrofoam, and medical masks are not easily recognizable once they fragment. Based on the thin LDPE bag fragmentation rate derived from this study, we can estimate the number of microplastics produced globally from this source. Assuming\u0026thinsp;~\u0026thinsp;5 trillion SUP bags are used annually\u003csup\u003e33\u003c/sup\u003e and 22% of all plastic waste (including SUP bags) is mismanaged and becomes litter\u003csup\u003e\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u003c/sup\u003e, three years of weathering would produce\u0026thinsp;~\u0026thinsp;10\u003csup\u003e18\u003c/sup\u003e fragments. This is almost equivalent to the number of sand grains on all of Earth\u0026rsquo;s beaches and deserts. Similarly, if just 1% of the 129\u0026nbsp;billion medical masks produced per month during the Covid-19 pandemic\u003csup\u003e\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e\u003c/sup\u003e were improperly disposed of in the environment, the same number of fragments, 10\u003csup\u003e18\u003c/sup\u003e, would be released in only two years. We hypothesize that other items composed of Styrofoam, thin films, and thin fibers may experience similar extensive fragmentation. However, more experimental work is needed to further evaluate the respective roles of intrinsic properties, such as polymer type and thickness, in fragmentation of these items.\u003c/p\u003e\u003cp\u003e\u003cb\u003eWet weathering effects on macroplastic\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe microcosm experiments demonstrated that wet weathering has distinct effects on macroplastics compared to dry weathering. Items submerged in creek water had a significantly slower degradation process than under dry weathering conditions, as evidenced by visual observations and mass accumulation measurements. This finding is consistent with other studies on plastic degradation in water, including: Gerritse et al. \u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e, who demonstrated that plastic samples weathered in seawater for more than one year had less than 1% mass loss; Ranjan and Goel\u003csup\u003e\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e\u003c/sup\u003e, who found that polypropylene sheets weathered more slowly in both fresh and saline water than when exposed to air; and Andrady et al. \u003csup\u003e\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e\u003c/sup\u003e, who found that LDPE (3.175 mm thick) material weathered in seawater showed no surface cracking or signs of oxidation from their ATR-FTIR analyses. Resistance to degradation in water may be due to two factors: 1) attenuation of light by the water column and 2) the formation of biofilms, which can reduce exposure to UV rays, heat, and oxidation\u003csup\u003e\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e\u003c/sup\u003e. It should be noted that biofilms were only observed on samples weathered in creek water, which contains nutrients and organic carbon that support biological growth, and not on samples weathered in DI water.\u003c/p\u003e\u003cp\u003eThe other major effect of wet weathering was the significant increase in mass, thickness, and density of many wet weathered samples. Except for the two LDPE bags and the water bottle, the significant density increases have important implications for the downstream transport of these items. As density increases and buoyancy is lost, these items may become buried in the streambed, where they may be missed by capture devices designed for floating trash.\u003c/p\u003e\u003cp\u003eEffects of simulated riverine transport with tumbling\u003c/p\u003e\u003cp\u003eSurface water-based trash capture devices contain a large amount of fragmented macrodebris that is unrecognizable\u003csup\u003e\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e\u003c/sup\u003e, which may be due to the additional fragmentation that debris undergoes during riverine transport. We found that previous weathering had a significant impact on fragmentation during mechanical degradation via tumbling, with both wet- and dry weathered samples exhibiting more visible degradation after tumbling compared to pristine items. Liro et al. \u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e highlighted the important critical effects of previous degradation as an intrinsic property, whereby the loss of some mechanical properties of macroplastics resulted from their previous biochemical degradation. In this study, dry weathered items showed the greatest degree of fragmentation, but wet weathered items also fragmented after tumbling. Although wet conditions resulted in less evidence of sample degradation, ATR-FTIR revealed that many wet weathered samples had lower overall transmittance, associated with microbial degradation,\u003csup\u003e\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e and the presence of a hydroxyl peak at ~\u0026thinsp;3300 cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, which also indicates polymer biodegradation\u003csup\u003e\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e,\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e. While there are few published studies that conduct similar tumbling experiments, it has been demonstrated that aged plastics, specifically UV weathered samples, fragment more quickly than pristine items\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e,\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e\u003c/sup\u003e. This study adds to this work and underscores the far greater effects of dry weathering on fragmentation, highlighting the importance of more frequent trash cleanups in riparian zones. Recovering or intercepting macrodebris items before they undergo weathering and subsequent storm runoff and transportation of fragments further into aquatic ecosystems is critical for waste management.\u003c/p\u003e\u003cp\u003eCertain items are noteworthy for their high potential to fragment. For example, the thin LDPE bag had already fragmented without the tumbling simulation; tumbling would have made the item unrecoverable. In addition, four other dry weathered samples \u0026mdash; medical mask, Styrofoam, bioplastic, and tent material \u0026mdash; fragmented substantially after tumbling. Wet weathered cigarette filters were also not recoverable and may have fragmented, possibly due to the leaching of structurally important chemical constituents in the wet microcosms. We hypothesize that the lost material represents non-negligible amounts of microplastic fragments in the environment since the fragments were not discernible from the sand and water slurry. These findings have important implications for management and research. Management actions should consider the high propensity for fragmentation when selecting items for regulation and when deciding the frequency of trash cleanup activities. Also, evaluations of trash capture efforts should consider that more fragmentation-resistant items, such as plastic bottles and PP food containers, will be more easily quantified in those studies, possibly biasing results.\u003c/p\u003e\u003cp\u003eFinally, it was expected that the bioplastic food container would degrade quickly under wet and dry weathering conditions. However, fragmentation only occurred for dry weathered bioplastic after mechanical tumbling. The resistance to weathering by the advertised \u0026ldquo;biodegradable\u0026rdquo; plastic reflects worldwide reports of false biodegradability claims for many bioplastics\u003csup\u003e\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e"},{"header":"5. CONCLUSION","content":"\u003cp\u003eThis study evaluated the effects of natural weathering on the fragmentation and degradation of debris items commonly found in the riparian zone of the San Diego River. Overall, dry weathered macroplastics had more rapid and significant signs of surface degradation (pitting, cracking, and grooves) and fragmentation, and more mass loss than those weathered in creek water. The degree of fragmentation was controlled by the SA:mass ratio and polymer type. Items with a high SA:mass ratio, such as the PP and LDPE items (mask and thin SUP bag) had the most fragmentation. By contrast, PP and PET polymers with a low SA:mass ratio (food container and plastic bottle) were the most resistant to weathering.\u003c/p\u003e\u003cp\u003eWet weathering resulted in two effects: biofilm formation on plastic surfaces, which likely protected them against photochemical and oxidative degradation, and increases in mass, thickness, and density, which reduced the buoyancy of many samples. Understanding these patterns is essential for predicting the fate of plastic debris and designing effective management strategies. Current trash capture devices, such as litter booms and trash skimmer vessels, are designed to collect floating plastics; often missing submerged debris that can pose significant environmental risks. This necessitates the design of more comprehensive trash capture devices capable of collecting both floating and sinking debris\u003c/p\u003e\u003cp\u003eTumbling experiments simulated transport and mechanical fragmentation that occurs during storms. All samples, both pristine and weathered, exhibited damage after tumbling, ranging from surface scratches/dents to rips/tears to complete fragmentation. As expected, previously weathered samples showed substantially greater damage than pristine samples. Dry weathered items were the most severely damaged, particularly the Styrofoam (PS), mask (PP), and thin bag (LDPE). Our findings suggest that items weathered over extended periods in river margins pose a high risk for fragmentation, especially during storm events that induce riverine transport. This risk is particularly pronounced for dry weathered items, making them a significant source of microplastic fragments.\u003c/p\u003e\u003cp\u003eThe riparian zone of the San Diego River is a source of macroplastics and microplastics. Unlike the developed urban landscape, where trash capture devices can be installed into storm drains, softscape (vegetated) river margins require different approaches to prevent plastic transport. Prioritizing regular debris removal from riparian zones and other river margin environments and increasing trash collection frequency are important strategies for preventing microplastic dispersal and reducing the microplastic dispersal and reducing microplastic and nanoplastic loads in waterways and the ocean. The items that exhibited the most extensive fragmentation were medical masks (PP), thin LDPE bags, and Styrofoam (PS). Therefore, strategies that promote the proper disposal of these single-use items or limit their consumption, would significantly reduce microplastic pollution in the environment.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eFunding\u003c/h2\u003e\u003cp\u003efor the project was provided by the National Oceanic and Atmospheric Administration Marine Debris Program (Grant # NA21NOS9990109) and the CSU Council on Ocean Affairs, Science \u0026amp; Technology (COAST) (Grant # COAST-GDP-2023-005). The SDSU Electron Microscopy Facility provided support for SEM imaging, and we thank Dr. Ingrid Niesman for her invaluable guidance and training on SEM techniques. Additional thanks to Dr. Matthew Verbyla for constructive edits in the initial writing stages. We thank Water Innovation and Reuse Lab research assistants Trinity Magdalena-Weary, Lena Bagnol, and Penelope Zavala, and high school student Natalie Scott for their assistance with lab analyses and field work. We thank the San Diego River Park Foundation staff and volunteers for providing the trash survey data. We also thank the Disturbance Hydrology Lab students, Camryn Crumpton, Mya Sherman, and Sara McGaugh for their trash survey data analysis.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eNM designed experiments, synthesized physical measurement data, acquired funding, supervised students, wrote the main manuscript text, and led the study; EK led the microcosm studies, supervised students, designed experiments, and co-wrote the manuscript, AO synthesized ATR-FTIR data and designed experiments, FW and TJP conducted ATR-FTIR analyses and synthesized data, GY edited the manuscript, AMK supervised data analysis, supervised students, edited the manuscript, and acquired funding. All authors reviewed the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eFunding for the project was provided by the National Oceanic and Atmospheric Administration Marine Debris Program (Grant # NA21NOS9990109) and the CSU Council on Ocean Affairs, Science \u0026amp; Technology (COAST) (Grant # COAST-GDP-2023-005). The SDSU Electron Microscopy Facility provided support for SEM imaging, and we thank Dr. Ingrid Niesman for her invaluable guidance and training on SEM techniques. Additional thanks to Dr. Matthew Verbyla for constructive edits in the initial writing stages. We thank Water Innovation and Reuse Lab research assistants Trinity Magdalena-Weary, Lena Bagnol, and Penelope Zavala, and high school student Natalie Scott for their assistance with lab analyses and field work. We thank the San Diego River Park Foundation staff and volunteers for providing the trash survey data. We also thank the Disturbance Hydrology Lab students, Camryn Crumpton, Mya Sherman, and Sara McGaugh for their trash survey data analysis.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eData, photographs, SEM images, and FTIR spectra are provided within the manuscript or supplementary information files.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eJambeck JR, Geyer R, Wilcox C, Siegler TR, Perryman M, Andrady A, Law KL. Plastic waste inputs from land into the ocean. Science. 2015;347(6223):768\u0026ndash;71.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePalmer, T., Biggs, T., Araki, R., Bagheri, K., Davani, H., Downing, R., \u0026hellip; McMillan,H. K. (2025). Quantifying sources, sinks and mitigation of macroplastic and other river debris: A trash balance model. Earth's Future, 13(3), e2024EF005677.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBlood T, Chacon E, Ramirez J, Medrano B. (2021). Council for Watershed Health: Compton Creek Analysis of Trash and Homeless Encampments. Master\u0026rsquo;s Thesis. California State University, Long Beach.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSerra-Gon\u0026ccedil;alves C, Lavers JL, Bond AL. Global review of beach debris monitoring and future recommendations. Environ Sci Technol. 2019;53(21):12158\u0026ndash;67.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLebreton LC, Van Der Zwet J, Damsteeg JW, Slat B, Andrady A, Reisser J. River plastic emissions to the world\u0026rsquo;s oceans. Nat Commun. 2017;8(1):15611.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePoletti SA, Landberg T. Using nature preserve creek cleanups to quantify anthropogenic litter accumulation in an urban watershed. Freshw Sci. 2021;40(3):537\u0026ndash;50. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1086/716214\u003c/span\u003e\u003cspan address=\"10.1086/716214\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDelre A, Goudriaan M, Morales VH, Vaksmaa A, Ndhlovu RT, Baas M, Keijzer E, de Groot T, Zeghal E, Egger M, R\u0026ouml;ckmann T, Niemann H. Plastic photodegradation under simulated marine conditions. Mar Pollut Bull. 2023;187:114544. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.marpolbul.2022.114544\u003c/span\u003e\u003cspan address=\"10.1016/j.marpolbul.2022.114544\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eGerritse J, Leslie HA, de Tender CA, Devriese LI, Vethaak AD. Fragmentation of plastic objects in a laboratory seawater microcosm. Sci Rep. 2020;10. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1038/s41598-020-67927-1\u003c/span\u003e\u003cspan address=\"10.1038/s41598-020-67927-1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eReineccius J, Sch\u0026ouml;nke M, Waniek JJ. Abiotic long-term simulation of microplastic weathering pathways under different aqueous conditions. Environ Sci Technol. 2022;57(2):963\u0026ndash;75. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.est.2c05746\u003c/span\u003e\u003cspan address=\"10.1021/acs.est.2c05746\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eChamas A, Moon H, Zheng J, Qiu Y, Tabassum T, Jang JH, Abu-Omar M, Scott SL, Suh S. Degradation Rates of Plastics in the Environment. ACS Sustain Chem Eng. 2020;8(9):3494\u0026ndash;511. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acssuschemeng.9b06635\u003c/span\u003e\u003cspan address=\"10.1021/acssuschemeng.9b06635\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLiro M, Zielonka A, van Emmerik THM. Macroplastic fragmentation in Rivers. Environ Int. 2023;180:108186. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.envint.2023.108186\u003c/span\u003e\u003cspan address=\"10.1016/j.envint.2023.108186\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKnoblauch D, Mederake L. Government policies combatting plastic pollution. Curr Opin Toxicol. 2021;28:87\u0026ndash;96.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHelinski OK, Poor CJ, Wolfand JM. Ridding our rivers of plastic: A framework for plastic pollution capture device selection. Mar Pollut Bull. 2021;165:112095.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSan Diego River Park Foundation (SDRPF). River assessment field team. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://sandiegoriver.org/what-we-do/clean-river-efforts/raft/\u003c/span\u003e\u003cspan address=\"https://sandiegoriver.org/what-we-do/clean-river-efforts/raft/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (accessed 2024).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eShen M, Li Y, Song B, Zhou C, Gong J, Zeng G. Smoked cigarette butts: Unignorable source for environmental microplastic fibers. Sci Total Environ. 2021;791:148384. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.scitotenv.2021.148384\u003c/span\u003e\u003cspan address=\"10.1016/j.scitotenv.2021.148384\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eRoberts KP, Phang SC, Williams JB, Hutchinson DJ, Kolstoe SE, de Bie J, Williams ID, Stringfellow AM. Increased personal protective equipment litter as a result of COVID-19 measures. Nat Sustain. 2021;5(3):272\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1038/s41893-021-00824-1\u003c/span\u003e\u003cspan address=\"10.1038/s41893-021-00824-1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSchnurr REJ, Alboiu V, Chaudhary M, Corbett RA, Quanz ME, Sankar K, Srain HS, Thavarajah V, Xanthos D, Walker TR. Reducing marine pollution from single-use plastics (SUPS): A Review. Mar Pollut Bull. 2018;137:157\u0026ndash;71. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.marpolbul.2018.10.001\u003c/span\u003e\u003cspan address=\"10.1016/j.marpolbul.2018.10.001\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePonce VM. (2014). Chapter 13: Sediment in the Hydrologic Cycle, in Engineering Hydrology, 2nd Ed. Published online. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://pon.sdsu.edu/enghydro/engineering_hydrology_13.php#transport\u003c/span\u003e\u003cspan address=\"https://pon.sdsu.edu/enghydro/engineering_hydrology_13.php#transport\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (accessed 5 July 2025).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eVan Krevelen DW, Nijenhuis T. K. (2009). Mechanical Properties of Solid Polymers. essay.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDogan M. Ultraviolet light accelerates the degradation of Polyethylene plastics. Microsc Res Tech. 2021;84(11):2774\u0026ndash;83.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMart\u0026iacute;nez-Romo A, Gonz\u0026aacute;lez-Mota R, Soto-Bernal JJ, Rosales-Candelas I. (2015). Investigating the Degradability of HDPE, LDPE, PE-BIO, and PE-OXO Films under UV-B Radiation. Materials Science Spectroscopy 2015: 586514 \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1155/2015/586514\u003c/span\u003e\u003cspan address=\"10.1155/2015/586514\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDelorme AE, Lebreton L, Royer SJ, Kāne K, Arhant M, Le Gall M, Le Gac PY. Assessing Plastic Brittleness to Understand Secondary Microplastic Formation on Beaches: A Hotspot for Weathered Marine Plastics. Microplastics Nanoplastics. 2025;5(1):25.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eChaudhary AK, Vijayakumar RP. (2020). Studies on biological degradation of polystyrene by pure fungal cultures. Environment development and sustainabilty, 22 (5):4495\u0026ndash;4508 DOI10.1007/s10668-019-00394-5.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eGao R, Sun C. A marine bacterial community capable of degrading poly (ethylene terephthalate) and polyethylene. J Hazard Mater. 2021;416:125928. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jhazmat.2021.125928\u003c/span\u003e\u003cspan address=\"10.1016/j.jhazmat.2021.125928\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBombelli P, Howe CJ, Bertocchini F. Polyethylene bio-degradation by caterpillars of the wax moth Galleria mellonella. Curr Biol. 2017;27(8):R292\u0026ndash;3.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLambert S, Wagner M. Formation of microscopic particles during the degradation of different polymers. Chemosphere. 2016;161:510\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eYoussef G. Applied mechanics of polymers: properties, processing, and behavior. Elsevier; 2021.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eGardi S, Giannone L, Sarti G, Sarti G. Surface chalking upon weathering of dark-colored PVC articles and relevant stabilizers. Polymers. 2024;16(8). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.20944/preprints202403.0319.v1\u003c/span\u003e\u003cspan address=\"10.20944/preprints202403.0319.v1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eR\u0026aring;nby B, Rabek JF. Photodegradation of polymer materials. Compr Polym Sci Supplements. 1989;253\u0026ndash;83. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/b978-0-08-096701-1.00230-5\u003c/span\u003e\u003cspan address=\"10.1016/b978-0-08-096701-1.00230-5\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAndrady AL, Law L, Donohue K, J., Koongolla B. Accelerated degradation of low-density polyethylene in air and in Sea Water. Sci Total Environ. 2022;811:151368. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.scitotenv.2021.151368\u003c/span\u003e\u003cspan address=\"10.1016/j.scitotenv.2021.151368\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eChubarenko I, Efimova I, Bagaeva M, Bagaev A, Isachenko I. On mechanical fragmentation of single-use plastics in the sea swash zone with different types of bottom sediments: Insights from laboratory experiments. Mar Pollut Bull. 2020;150:110726.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eRathinamoorthy R, Balasaraswathi SR. Disposable tri-layer masks and microfiber pollution \u0026ndash; an experimental analysis on dry and wet state emission. Sci Total Environ. 2022;816:151562. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.scitotenv.2021.151562\u003c/span\u003e\u003cspan address=\"10.1016/j.scitotenv.2021.151562\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eUnited Nations Framework on Climate Change. (2022). Plastic Promise Blog. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://unfccc.int/news/plastic-promise\u003c/span\u003e\u003cspan address=\"https://unfccc.int/news/plastic-promise\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e. Accessed 17 July 2025.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eOECD. (2022), Global Plastics Outlook: Policy Scenarios to 2060, OECD Publishing, Paris. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1787/aa1edf33-en\u003c/span\u003e\u003cspan address=\"10.1787/aa1edf33-en\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (accessed 5 August 2025).\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eWang, L., Li, S., Ahmad, I. M., Zhang, G., Sun, Y., Wang, Y., \u0026hellip; Li, D. (2023). Global face mask pollution: threats to the environment and wildlife, and potential solutions.Science of The Total Environment, 887, 164055.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eRanjan VP, Goel S. Recyclability of polypropylene after exposure to four different environmental conditions. Resour Conserv Recycl. 2021;169:105494. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.resconrec.2021.105494\u003c/span\u003e\u003cspan address=\"10.1016/j.resconrec.2021.105494\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDimassi SN, Hahladakis JN, Yahia MN, Ahmad MI, Sayadi S, Al-Ghouti MA. Degradation-fragmentation of marine plastic waste and their environmental implications: A critical review. Arab J Chem. 2022;15(11):104262. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.arabjc.2022.104262\u003c/span\u003e\u003cspan address=\"10.1016/j.arabjc.2022.104262\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSherlock C, Gutierrez RF, David M, Rochman CM. A methodology for quantifying and characterizing litter from trash capture devices (TCDs) to measure impact and inform upstream solutions. Facets. 2023;8:1\u0026ndash;12.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBorn MP, Br\u0026uuml;ll C, Sch\u0026uuml;ttrumpf H. Implications of a new test facility for fragmentation investigations on Virgin (micro)plastics. Environ Sci Technol. 2023;57(28):10393\u0026ndash;403. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1021/acs.est.3c02189\u003c/span\u003e\u003cspan address=\"10.1021/acs.est.3c02189\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMoreno BB, Rodrigues BV, Afonso LR, Jimenez PC, Castro IB. High incidence of false biodegradability claims related to single-use plastic utensils sold in Brazil. Sustainable Prod Consum. 2023;41:1\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"microplastics-and-nanoplastics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mina","sideBox":"Learn more about [Microplastics and Nanoplastics](http://microplastics.springeropen.com)","snPcode":"43591","submissionUrl":"https://submission.nature.com/new-submission/43591/3","title":"Microplastics and Nanoplastics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"macroplastics, microplastics, fragmentation, SEM, ATR-FTIR, weathering, riparian zone","lastPublishedDoi":"10.21203/rs.3.rs-7303205/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7303205/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eLand-based debris fragmentation has been recognized as a major source of marine microplastics. We evaluated the effects of extended wet and dry weathering of everyday land-based debris items reported in riparian zone trash surveys: cigarette filters, blankets, tents, medical masks, single-use plastic bags, water bottles, and food containers composed of Styrofoam, hard plastic, and \u0026ldquo;bioplastic.\u0026rdquo; Newly purchased items were subjected to outdoor wet and dry weathering microcosms over a 271-day period (October-July). To simulate additional fragmentation during riverine transport, tumbling experiments were conducted with pristine and weathered items. Photographic evidence and scanning electron microscopy analyses after weathering and tumbling revealed that dry weathered plastic had greater surface alteration, characterized by pitting, cracking, and grooves, and had greater fragmentation than wet weathered plastic. The base polymer and surface area-to-mass ratios controlled an item\u0026rsquo;s susceptibility to weathering. First-order fragmentation rates for the dry weathered medical mask and thin single-use bag were calculated as ~\u0026thinsp;2.00 \u0026times; 10\u003csup\u003e12\u003c/sup\u003e mask fragments/m\u003csup\u003e2\u003c/sup\u003e and ~\u0026thinsp;1,900 bag fragments/m\u003csup\u003e2\u003c/sup\u003e, respectively, after one year of weathering. Under wet conditions, the accumulation of biofilm on material surfaces likely inhibited items from degradation and fragmentation. Most wet weathered items also increased in mass and density and lost buoyancy, affecting their potential for riverine transport. Tumbling resulted in the greatest degree of fragmentation for dry weathered materials, which further suggests that dry weather has the highest risk of microplastic formation in agitated and dry environments. These findings can inform the design and placement of trash capture devices, guide waste collection planning, and contribute to policies that prevent debris from reaching oceans and coastal areas.\u003c/p\u003e","manuscriptTitle":"Marine Debris in River Margins: Wet and Dry Weathering Effects on the Fragmentation and Degradation of Discarded Plastic","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-19 16:05:31","doi":"10.21203/rs.3.rs-7303205/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-09-30T10:35:54+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-09-30T09:55:56+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-09-08T09:05:26+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"166486900170509569491814029877543440485","date":"2025-08-14T02:52:15+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"69716569531051944533516838692367437148","date":"2025-08-11T13:03:57+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-08-11T11:26:20+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-08-08T07:41:50+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-08-07T13:46:53+00:00","index":"","fulltext":""},{"type":"submitted","content":"Microplastics and Nanoplastics","date":"2025-08-05T17:49:13+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"microplastics-and-nanoplastics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mina","sideBox":"Learn more about [Microplastics and Nanoplastics](http://microplastics.springeropen.com)","snPcode":"43591","submissionUrl":"https://submission.nature.com/new-submission/43591/3","title":"Microplastics and Nanoplastics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"e7130de9-5d4d-4f83-8a38-fe14cf2d1e08","owner":[],"postedDate":"August 19th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-12-22T16:02:28+00:00","versionOfRecord":{"articleIdentity":"rs-7303205","link":"https://doi.org/10.1186/s43591-025-00164-3","journal":{"identity":"microplastics-and-nanoplastics","isVorOnly":false,"title":"Microplastics and Nanoplastics"},"publishedOn":"2025-12-20 15:58:08","publishedOnDateReadable":"December 20th, 2025"},"versionCreatedAt":"2025-08-19 16:05:31","video":"","vorDoi":"10.1186/s43591-025-00164-3","vorDoiUrl":"https://doi.org/10.1186/s43591-025-00164-3","workflowStages":[]},"version":"v1","identity":"rs-7303205","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7303205","identity":"rs-7303205","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}