Assessment of Annual Effective Dose and Excess Lifetime Cancer Risk Due to Natural Background Radiation Levels in West Pokot, Kenya

preprint OA: closed
Full text JSON View at publisher
AI-generated deep summary by claude@2026-06, 2026-06-24 · read from full text

This preprint measured natural background ionizing radiation around the Ortum and River Muruny artisanal gold mining sites in West Pokot, Kenya, using a portable handheld RADEYE PRD detector at 32 GPS-located points (1 m above ground) and then calculating annual effective dose equivalent (AEDE) and excess lifetime cancer risk (ELCR). Absorbed dose rates in air ranged from 66 to 155 nGy h⁻¹ (mean 106 ± 22), producing AEDE values from 0.08 to 0.19 mSv/yr (mean 0.13 ± 0.03), which were below the 1 mSv/yr recommended threshold, while ELCR values averaged 0.46 ± 0.10×10⁻³ and exceeded a referenced recommended limit of 0.299×10⁻³. A key caveat stated is that the work is a preprint not peer reviewed by a journal. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

This research determined the annual effective dose equivalent (AEDE) and excess lifetime cancer risk (ELCR) resulting from background ionizing radiation (BIR) within the vicinity of the Ortum and River Muruny artisanal gold mining sites in West Pokot, Kenya. The study employed a portable hand-held thermo Scientific RADEYE PRD Personal Radiation Detector for data collection. Measurements of absorbed dose rate (ADR) in air were conducted at thirty-two distinct locations within the sites and their surroundings, each positioned at 1.0 meters above ground level. The recorded ADR values ranged from 66 to 155 nGy h − 1 within the sites, with an average of 106 ± 22 nGy h − 1 . These readings were slightly above the global average value of 60 nGy h − 1 . The AEDE ranged from 0.08 to 0.19 mSv with a mean of 0.13 ± 0.03 mSv/yr which is below the threshold limit of 1 mSv/yr. The excess lifetime cancer risk (ELCR) ranged from 0.28x10 − 3 to 0.67x10 − 3 , with an average of 0.46 ± 0.10. The values, surpass the recommended limit value of 0.299×10 − 3 . While AEDE values were compliant with international recommendations 1mSv/y, ELCR values surpassed the average recommended limit. This suggests that the artisanal gold mining sites pose no immediate radiological health hazards due to the absorbed dose from BIR, yet the risk of cancer development over a lifetime of exposure remains considerably high. Thus, routine monitoring of BIR, radioactivity concentration in soil and rocks, and minimizing prolonged exposure are recommended to ensure the safety of workers and residents.
Full text 97,603 characters · extracted from preprint-html · click to expand
Assessment of Annual Effective Dose and Excess Lifetime Cancer Risk Due to Natural Background Radiation Levels in West Pokot, Kenya | 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 Assessment of Annual Effective Dose and Excess Lifetime Cancer Risk Due to Natural Background Radiation Levels in West Pokot, Kenya Elijah Pkemoi, Elijah Mwangi, Michael Mangala, Susan Karuga This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4231430/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This research determined the annual effective dose equivalent (AEDE) and excess lifetime cancer risk (ELCR) resulting from background ionizing radiation (BIR) within the vicinity of the Ortum and River Muruny artisanal gold mining sites in West Pokot, Kenya. The study employed a portable hand-held thermo Scientific RADEYE PRD Personal Radiation Detector for data collection. Measurements of absorbed dose rate (ADR) in air were conducted at thirty-two distinct locations within the sites and their surroundings, each positioned at 1.0 meters above ground level. The recorded ADR values ranged from 66 to 155 nGy h − 1 within the sites, with an average of 106 ± 22 nGy h − 1 . These readings were slightly above the global average value of 60 nGy h − 1 . The AEDE ranged from 0.08 to 0.19 mSv with a mean of 0.13 ± 0.03 mSv/yr which is below the threshold limit of 1 mSv/yr. The excess lifetime cancer risk (ELCR) ranged from 0.28x10 − 3 to 0.67x10 − 3 , with an average of 0.46 ± 0.10. The values, surpass the recommended limit value of 0.299×10 − 3 . While AEDE values were compliant with international recommendations 1mSv/y, ELCR values surpassed the average recommended limit. This suggests that the artisanal gold mining sites pose no immediate radiological health hazards due to the absorbed dose from BIR, yet the risk of cancer development over a lifetime of exposure remains considerably high. Thus, routine monitoring of BIR, radioactivity concentration in soil and rocks, and minimizing prolonged exposure are recommended to ensure the safety of workers and residents. Background ionizing radiation (BIR) Gold mining Annual effective dose equivalent (AEDE) Excess lifetime cancer risk (ELCR) and Absorbed dose rate (ADR) Figures Figure 1 Figure 2 Figure 3 Figure 4 Introduction Our environment is constantly exposed to radiation from both natural and human-made sources. Natural background ionizing radiation is produced by cosmic rays and naturally occurring radioactive elements in the Earth's crust, including within living organisms (Adebiyi et al., 2021; Jwanbot et al., 2013; UNSCEAR, 2000). Radionuclides such as 40 K and those produced during the decay of 238 U and 232 Th significantly contribute to human exposure, with concentrations varying in soil and rocks due to geological factors (Akortia et al., 2021; Azeem et al., 2023). In addition to natural sources, human activities like nuclear reactors, medical procedures, industries, and research introduce radiation into the environment (Adebiyi et al., 2021; Hu et al., 2010). Globally, humans receive an average dose of about 80% from natural sources and 20% from human-made sources (Ademola et al., 2014; Marciniak et al., 2022; Masok et al., 2015). Geological conditions affect radiation emissions, with higher levels found in igneous rocks like granite and lower levels in sedimentary rocks, except for shale and phosphate rocks (Sanjurjo-Sánchez & Alves, 2017). The increased global focus on evaluating radiation levels and their environmental impacts stems from recognizing the harmful effects of ionizing radiation on biological tissues. Understanding these levels is crucial due to the damaging consequences of high-energy ionizing radiation interacting with biological matter, causing ionization, and releasing charged particles, and free radicals that damage cellular structures. This damage extends to DNA, resulting in base damage, sugar damage, single-strand breaks (SSBs), double-strand breaks (DSBs), and DNA-protein cross-links (Collins & Azqueta, 2014; Islam, 2017). DNA damage contributes to gene mutation, chromosomal anomalies, cell death, mutagenesis, and carcinogenesis, often leading to chronic diseases and various types of cancer (Avwiri et al., 2017; Chatzipapas et al., 2023; Kaur et al., 2019; Qureshi et al., 2014). Considering these health implications, cancer remains a significant adverse outcome associated with ionizing radiation exposure, highlighting the need for a thorough investigation and mitigation of potential environmental consequences that address ecological and health concerns. The regions of Ortum and River Muruny are rich in gold mineral deposits, leading to extensive mining activities. These operations involve excavating and crushing rocks and alluvial ore associated with gold mineral deposits, redistributing radionuclides into the environment and increasing radiation dose levels. Excavation and crushing release radionuclides and dust particles, contributing to heightened radiation levels in the vicinity (Adebayo et al., 2022; Ogundele et al., 2021; Thomson, 2021). Given that human activities elevate radionuclide content and radiation levels, it is crucial to monitor and evaluate radiation levels to maintain exposure as low as reasonably achievable (ALARA principle) (Charles, 2007; Kuzmanović et al., 2023). In recent years, studies have been conducted to investigate human exposure to background radiation, examining natural radioactivity levels and background radiation exposure in various soil types, including surface soil, agricultural and farm soil (Azeem et al., 2023; El-Gamal et al., 2019), gold mining soil (Ogundele et al., 2021), quarry soil (Ofomola et al., 2023), environmental soil (Raja & Neelakantan, 2022), and uncultivated soil (Csordás et al., 2023) across different global regions. However, there is a significant research gap regarding radiation assessment within and around the mining sites in Ortum and River Muruny in West Pokot. To address this gap, this study conducted the first-ever investigation in the region, with the primary objective of evaluating and measuring the absorbed dose rate of background radiation in the air. The measured dose rate is used to calculate the annual AEDE experienced by individuals near the site, including miners and the general public. Additionally, the study assessed the ELCR associated with this background radiation exposure. The findings were compared against established recommended standards to determine the radiological health implications. Furthermore, this research will be used to establish a radiation baseline for the region, as no prior radiological studies have been conducted in the area. Figure 1 shows pictures of mining activities taking place at the Ortum and River Muruny artisanal gold mining, West Pokot. Methods Study Sites The research study area is located in Ortum and River Muruny in West Pokot, Kenya. It is between the Mtelo and Cheranganyi Hills in the Pokot South sub-county. The study area covers a total of about 20 km 2 between longitude 35°22'08" to 35°27'11" East and latitude 1°27'37" to 1°32'01" North (Figure 2). It has a population of approximately 3,000 populations, an altitude ranging from 1360 to 1420 m. The climate is characterized as Savanna, with average temperatures ranging from 21°C to 31°C. The eastern part of the study area is composed of intrusive and volcanic rocks, which cover the Ortum and Muruny River artisanal gold mining areas. The middle section consists of sedimentary rocks, while the western part is primarily defined by arenite, limestone, weathering rocks, and intermittent granite intrusion formations in the north and south. Background Radiation Dose Measurements In this study, a portable hand-held thermo Scientific RADEYE PRD Personal Radiation Detector was used to measure the absorbed gamma radiation field equivalent dose rate in nGy h -1 around the Ortum and River Muruny artisanal gold mining sites in situ. The Geiger counter serves as a personal dosimeter designed for detecting and measuring radiation levels in outdoor environments, homes, and workplaces. It is capable of determining the equivalent dosage rate and the specific radioactivity of cesium-137, β-particles, γ-rays, and x-rays, this device operates by registering electrical pulses triggered by radiation passing through the Geiger tube. These pulses are then recorded as counts by the CPU. A total of thirty-two measurements were taken from various locations, with GPS readings recorded at each point around the Ortum and River Muruny artisanal gold mining area to assess background radiation at 1 meter above ground level. The detector window was directed at specified target areas during these measurements. To ensure accuracy, three measurements were conducted at each point, spaced three minutes apart. The average absorbed dose rate (ADR) was then calculated in nGy h -1 . This selection of measurement points aimed to evenly cover the entire study area. The ADR value was essential for calculating the annual effective dose equivalent AEDE in µSv y -1 for both miners and the general public, using a specific equation. Where T is the time in hours per year (8760), Q is the 0.7 SvG y -1 conversion factor, OF is the occupancy factor of 0.2 (Ogundele et al., 2021), which relates to the human effective dose acquired by miners to the absorbed dose rate in mining sites was used. The AEDE recommended limit is 1 mSv/yr. Radiation's ability to cause cancer in the human body over a specific limit of exposure level in a given length of time, based on an average human lifetime of 70 years, is known as an ELCR. Using AEDE values, the ELCR was determined using the following equation: Where; RF is the risk factor (Sv -1 ), DL was computed using the mean length of life (70 years), which is the fatal cancer risks per Sievert, and AEDE refers to the Annual Effective Dose Equivalent. ICRP reports proposed an RF of 0.050 when public stochastic effects are utilized from low dose rates from background radiation (Ofomola et al., 2023) Results and Discussion The results of measured values of BIR levels, AEDE, and ELCR along with the corresponding coordinates of the measured area are presented in Table 1 . It provides a comprehensive overview of the measured absorbed dose rates around the Ortum and River Muruny artisanal gold mining area. The background radiation dose rates in the study area varied from 66.9 ± 6.2 nGy h − 1 to 155 ± 20.1 nGy h − 1 , with a mean value of 106 ± 22 nGy h − 1 . Despite being above the recommended safe limit of 60 nGy h − 1 , (Shehzad et al., 2019 ), the calculated AEDE values were below the limit of 1 mSv/yr for all sites. The AEDE values ranged from 0.08 mSv to 0.19 mSv with a mean of 0.13 ± 0.03 mSv/yr. These findings suggest a consistent trend in background radiation exposure in the sampled areas, attributed mainly to gamma radiation from geological features, radon, and cosmic rays (Joel et al., 2021 ; Ravisankar et al., 2016 ). The variation in radionuclide concentrations in soil and rocks, specifically ( 238 U, 232 Th, and 40 K), along with altitude, contributes to these exposure levels exceeding global averages for background exposure dose rate. The measured ADR slightly surpass the global average of 60 nGy h − 1 , but the computed mean AEDE values of 0.13 ± 0.03 mSv/yr for the mining sites remain below the recommended limits of 1 mSv/yr. Figure 3 illustrates this compliance with permissible limits of 1.00 mSv/yr for the general public and 20.00 mSv/yr for occupational workers ICRP (2007). The manifestation of cancer resulting from exposure to ionizing radiation does not manifest immediately; rather, its development is a gradual process that may span several years. According to (Ainsbury et al., 2023 ; Seibold et al., 2020 ), post-radiation exposure, various cancer types may emerge, albeit with varying frequencies, requiring detection through epidemiological methods. The interval between radiation exposure and the identification of cancer is termed the latent period, and this period can extend over numerous years. In the majority of cases, cancer becomes apparent only in individuals who have reached an advanced age. The concept of ELCR is thus defined as the likelihood that an individual will experience cancer throughout their lifetime as a consequence of radiation exposure (Sridharan et al., 2016 ). The average ELCR due to background radiation exposure ranged from 0.28x10 − 3 to 0.67x10 − 3 , with an average of 0.46 ± 0.10 (Table 1 ). The values, surpass the recommended limit value of 0.299×10 − 3 (300 persons per 1 million population) (Avwiri et al., 2017 ; UNSCEAR, 2008 ), indicating a notably elevated probability of developing cancer over a lifetime within the artisanal gold mining environment (Fig. 4 ). Approximately 94% of measured points exceeded the recommended limits, representing a substantial increase in cancer cases which is detectable only through epidemiological studies. The lifetime cancer risk due to gamma radiation exposure in Muzaffarabad, the state capital of Pakistan, was assessed. Annual effective dosage resulting from radon exposure ranged between 0.4 to 3.78 mSv/yr for indoor measurements, with a mean of 1.18 mSv/yr. The corresponding calculated ELCR varied between 1.49x10 − 3 to 14.01x10 − 3 , with an average value of 4.38x10 − 3 (Rafique et al., 2021 ). The results of exposure dose rate in this research, are far higher than the results estimated in this investigation. Table 1 The calculated ADR, AEDE and ELCR around Ortum and River Muruny artisanal gold mining sites. Sampling Points Latitude Longitude BIR (nGy/h) AEDE (mSv/yr) ELCR OR1 1.465742 35.370481 89.3 ± 14.0 0.11 0.39 OR2 1.467617 35.371874 96.1 ± 4.2 0.12 0.42 OR3 1.466224 35.369739 78.8 ± 10.1 0.10 0.35 OR4 1.465789 35.369714 112 ± 8 0.14 0.49 OR5 1.463916 35.370744 103 ± 5 0.13 0.46 OR6 1.463446 35.370375 97.4 ± 5.4 0.12 0.42 OR7 1.470406 35.373212 100 ± 7 0.12 0.42 OR8 1.462738 35.369976 95.4 ± 8.5 0.12 0.42 OR9 1.461973 35.368365 89.2 ± 11.5 0.11 0.39 OR10 1.466759 35.371024 126 ± 10 0.15 0.53 OR11 1.466464 35.372246 155 ± 1 0.19 0.67 OR12 1.471197 35.373001 134 ± 11 0.16 0.56 OR13 1.473406 35.372718 113 ± 10 0.14 0.49 OR14 1.476493 35.374381 99.6 ± 10.1 0.12 0.42 OR15 1.455694 35.366144 68.6 ± 8.0 0.08 0.28 RM16 1.531431 35.445249 79.3 ± 9.1 0.10 0.35 RM17 1.530554 35.450515 66.9 ± 3.2 0.08 0.28 RM18 1.531261 35.448526 119 ± 9 0.15 0.53 RM19 1.532592 35.447013 106 ± 6 0.13 0.46 RM20 1.533046 35.452786 134 ± 11 0.16 0.56 RM21 1.533435 35.452995 129 ± 8 0.16 0.56 RM22 1.532039 35.446078 114 ± 8 0.14 0.49 RM23 1.529771 35.444256 99.1 ± 9.2 0.12 0.42 RM24 1.536355 35.464646 101 ± 8 0.12 0.42 RM25 1.531567 35.462227 88.2 ± 9.5 0.11 0.39 RM26 1.535228 35.451392 92.3 ± 4.5 0.11 0.39 RM27 1.530801 35.417655 78.7 ± 5.3 0.10 0.35 RM28 1.529876 35.420365 136 ± 13 0.17 0.60 RM29 1.531612 35.415229 145 ± 12 0.18 0.63 RM30 1.515456 35.409538 131 ± 8 0.16 0.56 RM31 1.496562 35.401901 122 ± 11 0.15 0.53 RM32 1.483003 35.382558 111 ± 10 0.14 0.49 Mean ± SD 106 ± 22 0.13 ± 0.03 0.46 ± 0.10 MAX 155 0.19 0.665 MIN 66 0.08 0.28 Conclusion This study, assessed the annual effective dose and ELCR from background radiation within and around the Ortum and River Muruny artisanal gold mining sites to establish baseline data for these locations. A total of 32 measurements were taken at 1 meter above the ground in various locations. The average absorbed dose of 82.9 ± 13.9 nGy h − 1 was higher than the global mean of 60 nGy h − 1 . The mean AEDE value was 0.32 ± 0.04 mSv/yr which is slightly lower than the global average of 1 mSv/yr. The calculated mean AEDE values remain within permissible limits of 1 mSv/yr. However, the ELCR average values of 0.46 ± 0.10 slightly exceed the standard limit of 0.299×10 − 3 , likely due to enhanced radionuclide concentrations resulting from excavation activities. While immediate radiological health effects from absorbed doses appear manageable, the probability of cancer development over a lifetime within the artisanal gold mining areas is higher. As a recommendation, regular background radiation monitoring, assessment of radionuclide concentrations in soil and rocks, and careful management of exposure are advised to be adhered to by local authorities, the mining management, and interested researchers. Additionally, the working hours of exposure for miners and the public should be minimized. Declarations Author Contribution Corresponding Author 1: Conceptualization, Investigation, methodology, formal analysis, funding, writing - original draft preparation, writing - review and editing.Elijah Mwangi: SupervisionMichael Mangala: Data curation, supervision.Susan Karuga: Data curation, supervision, project administration, writing - review and editing. ORCID https://orcid.org/0000-0002-6104-9700 References Adebayo AS, Olufemi AP, Ogundele LT, Okunnuwa OQ, Toyeje AB, Olowookere CJ (2022) Ecological and human health risk assessments of metals in soil and tailing from Ife-Ijesha gold mining area, Southwest Nigeria. Environ Earth Sci 81(18):462. https://doi.org/10.1007/s12665-022-10581-9 Adebiyi FM, Ore OT, Adeola AO, Durodola SS, Akeremale OF, Olubodun KO, Akeremale OK (2021) Occurrence and remediation of naturally occurring radioactive materials in Nigeria: A review. Environ Chem Lett 19(4):3243–3262. https://doi.org/10.1007/s10311-021-01237-4 Ademola A, Ayo I, Babalola B, Folasade O, Onyinye A, Onuh O, Emmanuel E, Enyenihi E (2014) Assessments of natural radioactivity and determination of heavy metals in soil around industrial dumpsites in Sango-Ota, Ogun state, Nigeria. J Med Phys 39(2):106–111. https://doi.org/10.4103/0971-6203.131285 Ainsbury EA, Abrantes AM, Baatout S, Baeyens A, Botelho MF, Frey B, Foray N, Georgakilas AG, Lyng FM, Marques IA, Meade AD, Milic M, Mistry D, Monaghan JF, Montoro A, Pires AS, Terzoudi GI, Triantopoulou S, Viktorsson K, Vogin G (2023) Individual Radiation Sensitivity and Biomarkers: Molecular Radiation Biology. In: Baatout S (ed) Radiobiology Textbook. Springer International Publishing, pp 387–424. https://doi.org/10.1007/978-3-031-18810-7_7 Akortia E, Glover ET, Nyarku M, Dawood AMA, Essel P, Sarfo EO, Ameho EM, Aberikae EA, Gbeddy G (2021) Geological interactions and radio-chemical risks of primordial radionuclides 40K, 226Ra, and 232Th in soil and groundwater from potential radioactive waste disposal site in Ghana. J Radioanal Nucl Chem 328(2):577–589. https://doi.org/10.1007/s10967-021-07675-2 Avwiri GO, Nwaka BU, Ononugbo CP (2017) Radiological Health Risk Due To Gamma Dose Rates Around Okposi, Okwu and Uburu Salt Lakes, Ebonyi State. In International Journal of Environment and Pollution Research (Vol. 5, Issue 4, pp. 18–30). Azeem U, Younis H, ullah N, Mehboob K, Ajaz M, Ali M, Hidayat A, Muhammad W (2023) Radionuclide concentrations in agricultural soil and lifetime cancer risk due to gamma radioactivity in district Swabi, KPK, Pakistan. Nuclear Eng Technol. https://doi.org/10.1016/j.net.2023.09.026 Charles MW (2007) ICRP Publication 103: Recommendations of the ICRP. Radiat Prot Dosimetry 129(4):500–507. https://doi.org/10.1093/rpd/ncn187 Chatzipapas KP, Tran NH, Dordevic M, Zivkovic S, Zein S, Shin WG, Sakata D, Lampe N, Brown JMC, Ristic-Fira A, Petrovic I, Kyriakou I, Emfietzoglou D, Guatelli S, Incerti S (2023) Simulation of DNA damage using Geant4-DNA: an overview of the molecularDNA example application. Precision Radiation Oncol 7(1):4–14. https://doi.org/10.1002/pro6.1186 Collins AR, Azqueta A (2014) Methods for Measuring DNA Repair: Introduction and Cellular Repair. In L. M. Sierra & I. Gaivão (Eds.), Genotoxicity and DNA Repair (pp. 365–376). Springer New York. https://doi.org/10.1007/978-1-4939-1068-7_21 Csordás A, Novák M, Tóth-Bodrogi E, György P, Fehérvári M, Kovács T (2023) Assessment of anthropogenic impacts on the radioecological status of the Bakony region, Hungary. J Radioanal Nucl Chem. https://doi.org/10.1007/s10967-023-09123-9 El-Gamal H, Hussien MT, Saleh EE (2019) Evaluation of natural radioactivity levels in soil and various foodstuffs from Delta Abyan, Yemen. J Radiation Res Appl Sci 12(1):226–233. https://doi.org/10.1080/16878507.2019.1646523 Hu QH, Weng JQ, Wang JS (2010) Sources of anthropogenic radionuclides in the environment: A review. J Environ Radioact 101(6):426–437. https://doi.org/10.1016/j.jenvrad.2008.08.004 Islam MT (2017) Radiation interactions with biological systems. Int J Radiat Biol 93(5):487–493. https://doi.org/10.1080/09553002.2017.1286050 Joel ES, Omeje M, Olawole OC, Adeyemi GA, Akinpelu A, Embong Z, Saeed MA (2021) In-situ assessment of natural terrestrial-radioactivity from Uranium-238 (238U), Thorium-232 (232Th) and Potassium-40 (40K) in coastal urban-environment and its possible health implications. Sci Rep 11(1). https://doi.org/10.1038/s41598-021-96516-z Jwanbot DI, Izam MM, Nyam GG, Dakon RJ (2013) Environmental Ionizing Radiation Distribution Profile in Jos and Environs. J Environ Earth Sci, 3 (3). Kaur P, Purewal SS, Sandhu KS, Kaur M (2019) DNA damage protection: An excellent application of bioactive compounds. Bioresources Bioprocess 6(1):2. https://doi.org/10.1186/s40643-019-0237-9 Kuzmanović P, Petrović LF, Hansman J, Mrđa D, Forkapić S, Radić JK (2023) Radioactivity of raw materials and wastes from zinc production in Serbia and radiation risk for workers. J Radioanal Nucl Chem 332(6):2103–2114. https://doi.org/10.1007/s10967-023-08814-7 Marciniak A, Ciesielski B, Juniewicz M (2022) EPR dosimetry in glass: A review. Radiat Environ Biophys 61(2):179–203. https://doi.org/10.1007/s00411-022-00970-w Masok FB, Masiteng PL, Daniel JI (2015) Natural Radioactivity Concentration And Effective Dose Rate From Jos Tin Mining Dumpsites In Rayfield, Nigeria. J Environ Earth Sci, 5 (12). Ofomola OM, Ugbede FO, Anomohanran O (2023) Environmental risk assessment of background radiation, natural radioactivity and toxic elements in rocks and soils of Nkalagu quarry, Southeastern Nigeria. J Hazard Mater Adv 10. https://doi.org/10.1016/j.hazadv.2023.100288 Ogundele LT, Oluwajana OA, Ogunyele AC, Inuyomi SO (2021) Heavy metals, radionuclides activity and mineralogy of soil samples from an artisanal gold mining site in Ile-Ife, Nigeria: Implications on human and environmental health. Environ Earth Sci 80(5). https://doi.org/10.1007/s12665-021-09494-w Qureshi AA, Tariq S, Din KU, Manzoor S, Calligaris C, Waheed A (2014) Evaluation of excessive lifetime cancer risk due to natural radioactivity in the rivers sediments of Northern Pakistan. J Radiation Res Appl Sci 7(4):438–447. https://doi.org/10.1016/j.jrras.2014.07.008 Rafique M, Abbasi S, Shahzadi C, Basharat M, Jabbar A, Ur Rahman S (2021) Excessive Lifetime Cancer Risk Assessment due to Short-Term Indoor/Outdoor Ambient Radon and Gamma Dose Rate Exposures. Iran J Sci Technol Trans A: Sci 45(6):2181–2190. https://doi.org/10.1007/s40995-021-01192-3 Raja V, Neelakantan MA (2022) Spatial interpretation, radiological mapping of background gamma radiation and risk evaluation for Southern regions of Tamil Nadu, India. Environ Forensics. https://doi.org/10.1080/15275922.2022.2081888 Ravisankar R, Raghu Y, Chandrasekaran A, Suresh Gandhi M, Vijayagopal P, Venkatraman B Determination of natural radioactivity and the associated radiation hazards in building materials used in Polur, District T (2016) Tamilnadu, India using gamma ray spectrometry with statistical approach. Journal of Geochemical Exploration , 163 , 41–52. https://doi.org/10.1016/j.gexplo.2016.01.013 Sanjurjo-Sánchez J, Alves C (2017) Geologic materials and gamma radiation in the built environment. Environ Chem Lett 15(4):561–589. https://doi.org/10.1007/s10311-017-0643-1 Seibold P, Auvinen A, Averbeck D, Bourguignon M, Hartikainen JM, Hoeschen C, Laurent O, Noël G, Sabatier L, Salomaa S, Blettner M (2020) Clinical and epidemiological observations on individual radiation sensitivity and susceptibility. Int J Radiat Biol 96(3):324–339. https://doi.org/10.1080/09553002.2019.1665209 Shehzad W, Satti KH, Khan M, Khan K, Naseem A (2019) Estimation of background radiation levels and associated health risks in mineral rich district Chiniot, Pakistan. J Radioanal Nucl Chem 319(3):1051–1058. https://doi.org/10.1007/s10967-019-06425-9 Sridharan DM, Asaithamby A, Blattnig SR, Costes SV, Doetsch PW, Dynan WS, Hahnfeldt P, Hlatky L, Kidane Y, Kronenberg A, Naidu MD, Peterson LE, Plante I, Ponomarev AL, Saha J, Snijders AM, Srinivasan K, Tang J, Werner E, Pluth JM (2016) Evaluating biomarkers to model cancer risk post cosmic ray exposure. Life Sci Space Res 9:19–47. https://doi.org/10.1016/j.lssr.2016.05.004 Thomson B (2021) Environmental Contamination from Uranium Mining and Milling in the Western U.S. In M. Siegel, O. Selinus, & R. Finkelman (Eds.), Practical Applications of Medical Geology (pp. 475–523). Springer International Publishing. https://doi.org/10.1007/978-3-030-53893-4_15 UNSCEAR (2000) Sources and Effects of Ionizing Radiation, United Nations Scientific Committee on the Effects of Atomic Radiation UNSCEAR 2000 Report to the General Assembly. Sources United Nations, with Scientific Annexes VOLUME I UNSCEAR (2008) Sources and Effects of Ionizing Radiation, United Nations Scientific Committee on the Effects of Atomic Radiation UNSCEAR 2008 Report Volume I: Sources Report to the General Assembly Scientific Annexes A and B Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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-4231430","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":289395590,"identity":"0ff4c800-9c17-4f71-9b4c-6b72d75d3f64","order_by":0,"name":"Elijah Pkemoi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2klEQVRIiWNgGAWjYDACHhBhwCDDwN4AYlgQr4WHgecAiCFBrBYQJZEAoonQYs5z+OiGDwU2PAY3n1/d8KNAgoG/vTsBrxbL3ra0mzMM0ngMbueU3ewBOkzizNkNeLUYnOcxu81jcBikJe0GD1CLgUQuIS3834Ba/gMddibt5h+itJztYQNqOcBjcIP92G2ibLHsOWYG9Esyj+SZHLbbMgYSPAT9Ys6T/OzGhz92cnzHjz+7+eaPjRx/ey8Bh8EYCkC3gWgevMpRtMg3sD8gqHoUjIJRMApGJgAARBpI9nAtuQwAAAAASUVORK5CYII=","orcid":"","institution":"University of Nairobi","correspondingAuthor":true,"prefix":"","firstName":"Elijah","middleName":"","lastName":"Pkemoi","suffix":""},{"id":289395591,"identity":"c426d337-c5fc-40aa-b6b9-a90a6690f175","order_by":1,"name":"Elijah Mwangi","email":"","orcid":"","institution":"University of Nairobi","correspondingAuthor":false,"prefix":"","firstName":"Elijah","middleName":"","lastName":"Mwangi","suffix":""},{"id":289395592,"identity":"a27f08a2-c723-47a3-9a1a-54959e8e7b50","order_by":2,"name":"Michael Mangala","email":"","orcid":"","institution":"University of Nairobi","correspondingAuthor":false,"prefix":"","firstName":"Michael","middleName":"","lastName":"Mangala","suffix":""},{"id":289395593,"identity":"b6b94b2b-93e6-4a3c-820d-015e1ad0131f","order_by":3,"name":"Susan Karuga","email":"","orcid":"","institution":"University of Nairobi","correspondingAuthor":false,"prefix":"","firstName":"Susan","middleName":"","lastName":"Karuga","suffix":""}],"badges":[],"createdAt":"2024-04-07 12:59:14","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4231430/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4231430/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":54579457,"identity":"22011d71-589f-4fb5-9cda-9deb238b9c3e","added_by":"auto","created_at":"2024-04-12 14:19:39","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":426606,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003eThe Pictures showing mining activities taking place at the Ortum and River Muruny artisanal gold mining, West Pokot.\u003c/strong\u003e\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4231430/v1/26b9f5a60b2f0595d3050a39.png"},{"id":54579455,"identity":"eae0c1c4-9f29-4349-afbb-ba58d36fe573","added_by":"auto","created_at":"2024-04-12 14:19:39","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":373611,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eThe geology of West Pokot County and Sampling points (Geology and Mines)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-4231430/v1/9e441050a85e947287684a5c.png"},{"id":54579453,"identity":"074bffe1-3a5e-436a-b768-74295380525b","added_by":"auto","created_at":"2024-04-12 14:19:38","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":8716,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eThe graph of estimated AEDE within artisanal gold mining sites\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"Onlinedrawingimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-4231430/v1/cab332d89162f95e4e93e07e.png"},{"id":54579454,"identity":"21f7bf41-acff-4c78-bce2-e2e57520d483","added_by":"auto","created_at":"2024-04-12 14:19:39","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":9822,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eThe graph of estimated ELCR within artisanal gold mining sites\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-4231430/v1/d2b15219577f71bddaf680a0.png"},{"id":54627170,"identity":"c5af5a74-77e8-42b8-96b6-f03a6b981c6f","added_by":"auto","created_at":"2024-04-13 14:52:57","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1195936,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4231430/v1/95eb73e9-0998-4cba-a24f-1b97319272dc.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Assessment of Annual Effective Dose and Excess Lifetime Cancer Risk Due to Natural Background Radiation Levels in West Pokot, Kenya","fulltext":[{"header":"Introduction","content":"\u003cp\u003eOur environment is constantly exposed to radiation from both natural and human-made sources. Natural background ionizing radiation is produced by cosmic rays and naturally occurring radioactive elements in the Earth\u0026apos;s crust, including within living organisms\u0026nbsp;(Adebiyi et al., 2021; Jwanbot et al., 2013; UNSCEAR, 2000). Radionuclides such as \u003csup\u003e40\u003c/sup\u003eK and those produced during the decay of \u003csup\u003e238\u003c/sup\u003eU and \u003csup\u003e232\u003c/sup\u003eTh significantly contribute to human exposure, with concentrations varying in soil and rocks due to geological factors (Akortia et al., 2021; Azeem et al., 2023). In addition to natural sources, human activities like nuclear reactors, medical procedures, industries, and research introduce radiation into the environment (Adebiyi et al., 2021; Hu et al., 2010). Globally, humans receive an average dose of about 80% from natural sources and 20% from human-made sources (Ademola et al., 2014; Marciniak et al., 2022; Masok et al., 2015). Geological conditions affect radiation emissions, with higher levels found in igneous rocks like granite and lower levels in sedimentary rocks, except for shale and phosphate rocks (Sanjurjo-S\u0026aacute;nchez \u0026amp; Alves, 2017). The increased global focus on evaluating radiation levels and their environmental impacts stems from recognizing the harmful effects of ionizing radiation on biological tissues. Understanding these levels is crucial due to the damaging consequences of high-energy ionizing radiation interacting with biological matter, causing ionization, and releasing charged particles, and free radicals that damage cellular structures. This damage extends to DNA, resulting in base damage, sugar damage, single-strand breaks (SSBs), double-strand breaks (DSBs), and DNA-protein cross-links (Collins \u0026amp; Azqueta, 2014; Islam, 2017). DNA damage contributes to gene mutation, chromosomal anomalies, cell death, mutagenesis, and carcinogenesis, often leading to chronic diseases and various types of cancer (Avwiri et al., 2017; Chatzipapas et al., 2023; Kaur et al., 2019; Qureshi et al., 2014). Considering these health implications, cancer remains a significant adverse outcome associated with ionizing radiation exposure, highlighting the need for a thorough investigation and mitigation of potential environmental consequences that address ecological and health concerns. The regions of Ortum and River Muruny are rich in gold mineral deposits, leading to extensive mining activities. These operations involve excavating and crushing rocks and alluvial ore associated with gold mineral deposits, redistributing radionuclides into the environment and increasing radiation dose levels. Excavation and crushing release radionuclides and dust particles, contributing to heightened radiation levels in the vicinity (Adebayo et al., 2022; Ogundele et al., 2021; Thomson, 2021). Given that human activities elevate radionuclide content and radiation levels, it is crucial to monitor and evaluate radiation levels to maintain exposure as low as reasonably achievable (ALARA principle) (Charles, 2007; Kuzmanović et al., 2023). In recent years, studies have been conducted to investigate human exposure to background radiation, examining natural radioactivity levels and background radiation exposure in various soil types, including surface soil, agricultural and farm soil (Azeem et al., 2023; El-Gamal et al., 2019), gold mining soil (Ogundele et al., 2021), quarry soil (Ofomola et al., 2023), environmental soil (Raja \u0026amp; Neelakantan, 2022), and uncultivated soil (Csord\u0026aacute;s et al., 2023) across different global regions. However, there is a significant research gap regarding radiation assessment within and around the mining sites in Ortum and River Muruny in West Pokot. To address this gap, this study conducted the first-ever investigation in the region, with the primary objective of evaluating and measuring the absorbed dose rate of background radiation in the air. The measured dose rate is used to calculate the annual AEDE experienced by individuals near the site, including miners and the general public. Additionally, the study assessed the ELCR associated with this background radiation exposure. The findings were compared against established recommended standards to determine the radiological health implications. Furthermore, this research will be used to establish a radiation baseline for the region, as no prior radiological studies have been conducted in the area. Figure 1 shows pictures of mining activities taking place at the Ortum and River Muruny artisanal gold mining, West Pokot.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eStudy Sites\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe research study area is located in Ortum and River Muruny in West Pokot, Kenya. It is between the Mtelo and Cheranganyi Hills in the Pokot South sub-county. The study area covers a total of about 20 km\u003csup\u003e2\u003c/sup\u003e between longitude 35\u0026deg;22\u0026apos;08\u0026quot; to 35\u0026deg;27\u0026apos;11\u0026quot; East and latitude 1\u0026deg;27\u0026apos;37\u0026quot; to 1\u0026deg;32\u0026apos;01\u0026quot; North (Figure 2). It has a population of approximately 3,000 populations, an altitude ranging from 1360 to 1420 m. The climate is characterized as Savanna, with average temperatures ranging from 21\u0026deg;C to 31\u0026deg;C. The eastern part of the study area is composed of intrusive and volcanic rocks, which cover the Ortum and Muruny River artisanal gold mining areas. The middle section consists of sedimentary rocks, while the western part is primarily defined by arenite, limestone, weathering rocks, and intermittent granite intrusion formations in the north and south.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBackground Radiation Dose Measurements\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn this study, a portable hand-held\u0026nbsp;thermo Scientific RADEYE PRD Personal Radiation Detector\u0026nbsp;was used to measure the absorbed gamma radiation field equivalent dose rate in\u0026nbsp;nGy h\u003csup\u003e-1\u0026nbsp;\u003c/sup\u003earound the Ortum and River Muruny artisanal gold mining sites in situ. The Geiger counter serves as a personal dosimeter designed for detecting and measuring radiation levels in outdoor environments, homes, and workplaces. It is capable of determining the equivalent dosage rate and the specific radioactivity of cesium-137, \u0026beta;-particles, \u0026gamma;-rays, and x-rays, this device operates by registering electrical pulses triggered by radiation passing through the Geiger tube. These pulses are then recorded as counts by the CPU. A total of thirty-two measurements were taken from various locations, with GPS readings recorded at each point around the Ortum and River Muruny artisanal gold mining area to assess background radiation at 1 meter above ground level. The detector window was directed at specified target areas during these measurements. To ensure accuracy, three measurements were conducted at each point, spaced three minutes apart. The average\u0026nbsp;absorbed dose rate (ADR) was then calculated in nGy h\u003csup\u003e-1\u003c/sup\u003e. This selection of measurement points aimed to evenly cover the entire study area.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe\u0026nbsp;ADR\u0026nbsp;value was essential for calculating the annual effective dose equivalent AEDE in \u0026micro;Sv y\u003csup\u003e-1\u003c/sup\u003e for both miners and the general public, using a specific equation.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u0026nbsp;\u003cimg src=\"https://myfiles.space/user_files/127393_c7e80a1c9bb65875/127393_custom_files/img1712931247.png\"\u003e\u0026nbsp; \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWhere \u003cem\u003eT\u0026nbsp;\u003c/em\u003eis the time in hours per year (8760), \u003cem\u003eQ\u003c/em\u003e is the 0.7 \u003cem\u003eSvG y\u003csup\u003e-1\u003c/sup\u003e\u003c/em\u003e conversion factor, \u003cem\u003eOF\u003c/em\u003e is the occupancy factor of 0.2 (Ogundele et al., 2021), which relates to the human effective dose acquired by miners to the absorbed dose rate in mining sites was used. The AEDE recommended limit is 1 mSv/yr. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eRadiation\u0026apos;s ability to cause cancer in the human body over a specific limit of exposure level in a given length of time, based on an average human lifetime of 70 years, is known as an ELCR. Using AEDE values, the ELCR was determined using the following equation:\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003cimg src=\"https://myfiles.space/user_files/127393_c7e80a1c9bb65875/127393_custom_files/img1712931274.png\"\u003e\u003c/p\u003e\n\u003cp\u003eWhere; \u003cem\u003eRF\u003c/em\u003e is the risk factor (Sv\u003csup\u003e-1\u003c/sup\u003e), \u003cem\u003eDL\u003c/em\u003e was computed using the mean length of life (70 years), which is the fatal cancer risks per Sievert, and AEDE refers to the Annual Effective Dose Equivalent. ICRP reports proposed an \u003cem\u003eRF\u003c/em\u003e of 0.050 when public stochastic effects are utilized from low dose rates from background radiation (Ofomola et al., 2023)\u003c/p\u003e"},{"header":"Results and Discussion","content":"\u003cp\u003eThe results of measured values of BIR levels, AEDE, and ELCR along with the corresponding coordinates of the measured area are presented in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. It provides a comprehensive overview of the measured absorbed dose rates around the Ortum and River Muruny artisanal gold mining area. The background radiation dose rates in the study area varied from 66.9\u0026thinsp;\u0026plusmn;\u0026thinsp;6.2 nGy h\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e to 155\u0026thinsp;\u0026plusmn;\u0026thinsp;20.1 nGy h\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, with a mean value of 106\u0026thinsp;\u0026plusmn;\u0026thinsp;22 nGy h\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. Despite being above the recommended safe limit of 60 nGy h\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, (Shehzad et al., \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), the calculated AEDE values were below the limit of 1 mSv/yr for all sites. The AEDE values ranged from 0.08 mSv to 0.19 mSv with a mean of 0.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03 mSv/yr. These findings suggest a consistent trend in background radiation exposure in the sampled areas, attributed mainly to gamma radiation from geological features, radon, and cosmic rays (Joel et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Ravisankar et al., \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). The variation in radionuclide concentrations in soil and rocks, specifically (\u003csup\u003e238\u003c/sup\u003eU, \u003csup\u003e232\u003c/sup\u003eTh, and \u003csup\u003e40\u003c/sup\u003eK), along with altitude, contributes to these exposure levels exceeding global averages for background exposure dose rate. The measured ADR slightly surpass the global average of 60 nGy h\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, but the computed mean AEDE values of 0.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03 mSv/yr for the mining sites remain below the recommended limits of 1 mSv/yr. Figure\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e illustrates this compliance with permissible limits of 1.00 mSv/yr for the general public and 20.00 mSv/yr for occupational workers ICRP (2007).\u003c/p\u003e \u003cp\u003eThe manifestation of cancer resulting from exposure to ionizing radiation does not manifest immediately; rather, its development is a gradual process that may span several years. According to (Ainsbury et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Seibold et al., \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2020\u003c/span\u003e), post-radiation exposure, various cancer types may emerge, albeit with varying frequencies, requiring detection through epidemiological methods. The interval between radiation exposure and the identification of cancer is termed the latent period, and this period can extend over numerous years. In the majority of cases, cancer becomes apparent only in individuals who have reached an advanced age. The concept of ELCR is thus defined as the likelihood that an individual will experience cancer throughout their lifetime as a consequence of radiation exposure (Sridharan et al., \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2016\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe average ELCR due to background radiation exposure ranged from 0.28x10\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e to 0.67x10\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e, with an average of 0.46\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10 (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). The values, surpass the recommended limit value of 0.299\u0026times;10\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e (300 persons per 1\u0026nbsp;million population) (Avwiri et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; UNSCEAR, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2008\u003c/span\u003e), indicating a notably elevated probability of developing cancer over a lifetime within the artisanal gold mining environment (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Approximately 94% of measured points exceeded the recommended limits, representing a substantial increase in cancer cases which is detectable only through epidemiological studies. The lifetime cancer risk due to gamma radiation exposure in Muzaffarabad, the state capital of Pakistan, was assessed. Annual effective dosage resulting from radon exposure ranged between 0.4 to 3.78 mSv/yr for indoor measurements, with a mean of 1.18 mSv/yr. The corresponding calculated ELCR varied between 1.49x10\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e to 14.01x10\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e, with an average value of 4.38x10\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e (Rafique et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The results of exposure dose rate in this research, are far higher than the results estimated in this investigation.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eThe calculated ADR, AEDE and ELCR around Ortum and River Muruny artisanal gold mining sites.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" 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=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSampling Points\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLatitude\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLongitude\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eBIR (nGy/h)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eAEDE (mSv/yr)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eELCR\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.465742\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.370481\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e89.3\u0026thinsp;\u0026plusmn;\u0026thinsp;14.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.467617\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.371874\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e96.1\u0026thinsp;\u0026plusmn;\u0026thinsp;4.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.466224\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.369739\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e78.8\u0026thinsp;\u0026plusmn;\u0026thinsp;10.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.465789\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.369714\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e112\u0026thinsp;\u0026plusmn;\u0026thinsp;8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.49\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.463916\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.370744\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e103\u0026thinsp;\u0026plusmn;\u0026thinsp;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.46\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.463446\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.370375\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e97.4\u0026thinsp;\u0026plusmn;\u0026thinsp;5.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.470406\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.373212\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e100\u0026thinsp;\u0026plusmn;\u0026thinsp;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.462738\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.369976\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e95.4\u0026thinsp;\u0026plusmn;\u0026thinsp;8.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.461973\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.368365\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e89.2\u0026thinsp;\u0026plusmn;\u0026thinsp;11.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.466759\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.371024\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e126\u0026thinsp;\u0026plusmn;\u0026thinsp;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.466464\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.372246\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e155\u0026thinsp;\u0026plusmn;\u0026thinsp;1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.67\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.471197\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.373001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e134\u0026thinsp;\u0026plusmn;\u0026thinsp;11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.473406\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.372718\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e113\u0026thinsp;\u0026plusmn;\u0026thinsp;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.49\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.476493\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.374381\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e99.6\u0026thinsp;\u0026plusmn;\u0026thinsp;10.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOR15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.455694\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.366144\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e68.6\u0026thinsp;\u0026plusmn;\u0026thinsp;8.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.531431\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.445249\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e79.3\u0026thinsp;\u0026plusmn;\u0026thinsp;9.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.530554\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.450515\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e66.9\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.531261\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.448526\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e119\u0026thinsp;\u0026plusmn;\u0026thinsp;9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.532592\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.447013\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e106\u0026thinsp;\u0026plusmn;\u0026thinsp;6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.46\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.533046\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.452786\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e134\u0026thinsp;\u0026plusmn;\u0026thinsp;11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.533435\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.452995\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e129\u0026thinsp;\u0026plusmn;\u0026thinsp;8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.532039\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.446078\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e114\u0026thinsp;\u0026plusmn;\u0026thinsp;8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.49\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.529771\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.444256\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e99.1\u0026thinsp;\u0026plusmn;\u0026thinsp;9.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.536355\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.464646\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e101\u0026thinsp;\u0026plusmn;\u0026thinsp;8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.531567\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.462227\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e88.2\u0026thinsp;\u0026plusmn;\u0026thinsp;9.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.535228\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.451392\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e92.3\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.530801\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.417655\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e78.7\u0026thinsp;\u0026plusmn;\u0026thinsp;5.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.529876\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.420365\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e136\u0026thinsp;\u0026plusmn;\u0026thinsp;13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.531612\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.415229\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e145\u0026thinsp;\u0026plusmn;\u0026thinsp;12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.63\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.515456\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.409538\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e131\u0026thinsp;\u0026plusmn;\u0026thinsp;8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM31\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.496562\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.401901\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e122\u0026thinsp;\u0026plusmn;\u0026thinsp;11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRM32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.483003\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e35.382558\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e111\u0026thinsp;\u0026plusmn;\u0026thinsp;10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.49\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e106\u0026thinsp;\u0026plusmn;\u0026thinsp;22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.46\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMAX\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e155\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.665\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMIN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e66\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.28\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 \u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study, assessed the annual effective dose and ELCR from background radiation within and around the Ortum and River Muruny artisanal gold mining sites to establish baseline data for these locations. A total of 32 measurements were taken at 1 meter above the ground in various locations. The average absorbed dose of 82.9\u0026thinsp;\u0026plusmn;\u0026thinsp;13.9 nGy h\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e was higher than the global mean of 60 nGy h\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. The mean AEDE value was 0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04 mSv/yr which is slightly lower than the global average of 1 mSv/yr. The calculated mean AEDE values remain within permissible limits of 1 mSv/yr. However, the ELCR average values of 0.46\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10 slightly exceed the standard limit of 0.299\u0026times;10\u003csup\u003e\u0026minus;\u0026thinsp;3\u003c/sup\u003e, likely due to enhanced radionuclide concentrations resulting from excavation activities. While immediate radiological health effects from absorbed doses appear manageable, the probability of cancer development over a lifetime within the artisanal gold mining areas is higher. As a recommendation, regular background radiation monitoring, assessment of radionuclide concentrations in soil and rocks, and careful management of exposure are advised to be adhered to by local authorities, the mining management, and interested researchers. Additionally, the working hours of exposure for miners and the public should be minimized.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eCorresponding Author 1: Conceptualization, Investigation, methodology, formal analysis, funding, writing - original draft preparation, writing - review and editing.Elijah Mwangi: SupervisionMichael Mangala: Data curation, supervision.Susan Karuga: Data curation, supervision, project administration, writing - review and editing.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eORCID\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ehttps://orcid.org/0000-0002-6104-9700\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAdebayo AS, Olufemi AP, Ogundele LT, Okunnuwa OQ, Toyeje AB, Olowookere CJ (2022) Ecological and human health risk assessments of metals in soil and tailing from Ife-Ijesha gold mining area, Southwest Nigeria. Environ Earth Sci 81(18):462. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s12665-022-10581-9\u003c/span\u003e\u003cspan address=\"10.1007/s12665-022-10581-9\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAdebiyi FM, Ore OT, Adeola AO, Durodola SS, Akeremale OF, Olubodun KO, Akeremale OK (2021) Occurrence and remediation of naturally occurring radioactive materials in Nigeria: A review. Environ Chem Lett 19(4):3243\u0026ndash;3262. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10311-021-01237-4\u003c/span\u003e\u003cspan address=\"10.1007/s10311-021-01237-4\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAdemola A, Ayo I, Babalola B, Folasade O, Onyinye A, Onuh O, Emmanuel E, Enyenihi E (2014) Assessments of natural radioactivity and determination of heavy metals in soil around industrial dumpsites in Sango-Ota, Ogun state, Nigeria. J Med Phys 39(2):106\u0026ndash;111. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.4103/0971-6203.131285\u003c/span\u003e\u003cspan address=\"10.4103/0971-6203.131285\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAinsbury EA, Abrantes AM, Baatout S, Baeyens A, Botelho MF, Frey B, Foray N, Georgakilas AG, Lyng FM, Marques IA, Meade AD, Milic M, Mistry D, Monaghan JF, Montoro A, Pires AS, Terzoudi GI, Triantopoulou S, Viktorsson K, Vogin G (2023) Individual Radiation Sensitivity and Biomarkers: Molecular Radiation Biology. In: Baatout S (ed) Radiobiology Textbook. Springer International Publishing, pp 387\u0026ndash;424. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/978-3-031-18810-7_7\u003c/span\u003e\u003cspan address=\"10.1007/978-3-031-18810-7_7\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAkortia E, Glover ET, Nyarku M, Dawood AMA, Essel P, Sarfo EO, Ameho EM, Aberikae EA, Gbeddy G (2021) Geological interactions and radio-chemical risks of primordial radionuclides 40K, 226Ra, and 232Th in soil and groundwater from potential radioactive waste disposal site in Ghana. J Radioanal Nucl Chem 328(2):577\u0026ndash;589. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10967-021-07675-2\u003c/span\u003e\u003cspan address=\"10.1007/s10967-021-07675-2\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAvwiri GO, Nwaka BU, Ononugbo CP (2017) Radiological Health Risk Due To Gamma Dose Rates Around Okposi, Okwu and Uburu Salt Lakes, Ebonyi State. In \u003cem\u003eInternational Journal of Environment and Pollution Research\u003c/em\u003e (Vol. 5, Issue 4, pp. 18\u0026ndash;30). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e\u003c/span\u003e\u003cspan address=\"http://www.eajournals.org\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAzeem U, Younis H, ullah N, Mehboob K, Ajaz M, Ali M, Hidayat A, Muhammad W (2023) Radionuclide concentrations in agricultural soil and lifetime cancer risk due to gamma radioactivity in district Swabi, KPK, Pakistan. Nuclear Eng Technol. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.net.2023.09.026\u003c/span\u003e\u003cspan address=\"10.1016/j.net.2023.09.026\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCharles MW (2007) ICRP Publication 103: Recommendations of the ICRP. Radiat Prot Dosimetry 129(4):500\u0026ndash;507. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1093/rpd/ncn187\u003c/span\u003e\u003cspan address=\"10.1093/rpd/ncn187\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChatzipapas KP, Tran NH, Dordevic M, Zivkovic S, Zein S, Shin WG, Sakata D, Lampe N, Brown JMC, Ristic-Fira A, Petrovic I, Kyriakou I, Emfietzoglou D, Guatelli S, Incerti S (2023) Simulation of DNA damage using Geant4-DNA: an overview of the molecularDNA example application. Precision Radiation Oncol 7(1):4\u0026ndash;14. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1002/pro6.1186\u003c/span\u003e\u003cspan address=\"10.1002/pro6.1186\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCollins AR, Azqueta A (2014) Methods for Measuring DNA Repair: Introduction and Cellular Repair. In L. M. Sierra \u0026amp; I. Gaiv\u0026atilde;o (Eds.), \u003cem\u003eGenotoxicity and DNA Repair\u003c/em\u003e (pp. 365\u0026ndash;376). Springer New York. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/978-1-4939-1068-7_21\u003c/span\u003e\u003cspan address=\"10.1007/978-1-4939-1068-7_21\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCsord\u0026aacute;s A, Nov\u0026aacute;k M, T\u0026oacute;th-Bodrogi E, Gy\u0026ouml;rgy P, Feh\u0026eacute;rv\u0026aacute;ri M, Kov\u0026aacute;cs T (2023) Assessment of anthropogenic impacts on the radioecological status of the Bakony region, Hungary. J Radioanal Nucl Chem. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10967-023-09123-9\u003c/span\u003e\u003cspan address=\"10.1007/s10967-023-09123-9\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEl-Gamal H, Hussien MT, Saleh EE (2019) Evaluation of natural radioactivity levels in soil and various foodstuffs from Delta Abyan, Yemen. J Radiation Res Appl Sci 12(1):226\u0026ndash;233. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/16878507.2019.1646523\u003c/span\u003e\u003cspan address=\"10.1080/16878507.2019.1646523\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHu QH, Weng JQ, Wang JS (2010) Sources of anthropogenic radionuclides in the environment: A review. J Environ Radioact 101(6):426\u0026ndash;437. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jenvrad.2008.08.004\u003c/span\u003e\u003cspan address=\"10.1016/j.jenvrad.2008.08.004\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eIslam MT (2017) Radiation interactions with biological systems. Int J Radiat Biol 93(5):487\u0026ndash;493. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/09553002.2017.1286050\u003c/span\u003e\u003cspan address=\"10.1080/09553002.2017.1286050\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJoel ES, Omeje M, Olawole OC, Adeyemi GA, Akinpelu A, Embong Z, Saeed MA (2021) In-situ assessment of natural terrestrial-radioactivity from Uranium-238 (238U), Thorium-232 (232Th) and Potassium-40 (40K) in coastal urban-environment and its possible health implications. Sci Rep 11(1). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1038/s41598-021-96516-z\u003c/span\u003e\u003cspan address=\"10.1038/s41598-021-96516-z\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJwanbot DI, Izam MM, Nyam GG, Dakon RJ (2013) Environmental Ionizing Radiation Distribution Profile in Jos and Environs. J Environ Earth Sci, \u003cem\u003e3\u003c/em\u003e(3). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e\u003c/span\u003e\u003cspan address=\"http://www.iiste.org\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKaur P, Purewal SS, Sandhu KS, Kaur M (2019) DNA damage protection: An excellent application of bioactive compounds. Bioresources Bioprocess 6(1):2. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1186/s40643-019-0237-9\u003c/span\u003e\u003cspan address=\"10.1186/s40643-019-0237-9\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKuzmanović P, Petrović LF, Hansman J, Mrđa D, Forkapić S, Radić JK (2023) Radioactivity of raw materials and wastes from zinc production in Serbia and radiation risk for workers. J Radioanal Nucl Chem 332(6):2103\u0026ndash;2114. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10967-023-08814-7\u003c/span\u003e\u003cspan address=\"10.1007/s10967-023-08814-7\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMarciniak A, Ciesielski B, Juniewicz M (2022) EPR dosimetry in glass: A review. Radiat Environ Biophys 61(2):179\u0026ndash;203. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s00411-022-00970-w\u003c/span\u003e\u003cspan address=\"10.1007/s00411-022-00970-w\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMasok FB, Masiteng PL, Daniel JI (2015) Natural Radioactivity Concentration And Effective Dose Rate From Jos Tin Mining Dumpsites In Rayfield, Nigeria. J Environ Earth Sci, \u003cem\u003e5\u003c/em\u003e(12). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e\u003c/span\u003e\u003cspan address=\"http://www.iiste.org\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOfomola OM, Ugbede FO, Anomohanran O (2023) Environmental risk assessment of background radiation, natural radioactivity and toxic elements in rocks and soils of Nkalagu quarry, Southeastern Nigeria. J Hazard Mater Adv 10. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.hazadv.2023.100288\u003c/span\u003e\u003cspan address=\"10.1016/j.hazadv.2023.100288\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOgundele LT, Oluwajana OA, Ogunyele AC, Inuyomi SO (2021) Heavy metals, radionuclides activity and mineralogy of soil samples from an artisanal gold mining site in Ile-Ife, Nigeria: Implications on human and environmental health. Environ Earth Sci 80(5). \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s12665-021-09494-w\u003c/span\u003e\u003cspan address=\"10.1007/s12665-021-09494-w\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eQureshi AA, Tariq S, Din KU, Manzoor S, Calligaris C, Waheed A (2014) Evaluation of excessive lifetime cancer risk due to natural radioactivity in the rivers sediments of Northern Pakistan. J Radiation Res Appl Sci 7(4):438\u0026ndash;447. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.jrras.2014.07.008\u003c/span\u003e\u003cspan address=\"10.1016/j.jrras.2014.07.008\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRafique M, Abbasi S, Shahzadi C, Basharat M, Jabbar A, Ur Rahman S (2021) Excessive Lifetime Cancer Risk Assessment due to Short-Term Indoor/Outdoor Ambient Radon and Gamma Dose Rate Exposures. Iran J Sci Technol Trans A: Sci 45(6):2181\u0026ndash;2190. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s40995-021-01192-3\u003c/span\u003e\u003cspan address=\"10.1007/s40995-021-01192-3\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRaja V, Neelakantan MA (2022) Spatial interpretation, radiological mapping of background gamma radiation and risk evaluation for Southern regions of Tamil Nadu, India. Environ Forensics. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/15275922.2022.2081888\u003c/span\u003e\u003cspan address=\"10.1080/15275922.2022.2081888\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRavisankar R, Raghu Y, Chandrasekaran A, Suresh Gandhi M, Vijayagopal P, Venkatraman B Determination of natural radioactivity and the associated radiation hazards in building materials used in Polur, District T (2016) Tamilnadu, India using gamma ray spectrometry with statistical approach. \u003cem\u003eJournal of Geochemical Exploration\u003c/em\u003e, \u003cem\u003e163\u003c/em\u003e, 41\u0026ndash;52. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.gexplo.2016.01.013\u003c/span\u003e\u003cspan address=\"10.1016/j.gexplo.2016.01.013\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSanjurjo-S\u0026aacute;nchez J, Alves C (2017) Geologic materials and gamma radiation in the built environment. Environ Chem Lett 15(4):561\u0026ndash;589. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10311-017-0643-1\u003c/span\u003e\u003cspan address=\"10.1007/s10311-017-0643-1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSeibold P, Auvinen A, Averbeck D, Bourguignon M, Hartikainen JM, Hoeschen C, Laurent O, No\u0026euml;l G, Sabatier L, Salomaa S, Blettner M (2020) Clinical and epidemiological observations on individual radiation sensitivity and susceptibility. Int J Radiat Biol 96(3):324\u0026ndash;339. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1080/09553002.2019.1665209\u003c/span\u003e\u003cspan address=\"10.1080/09553002.2019.1665209\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eShehzad W, Satti KH, Khan M, Khan K, Naseem A (2019) Estimation of background radiation levels and associated health risks in mineral rich district Chiniot, Pakistan. J Radioanal Nucl Chem 319(3):1051\u0026ndash;1058. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/s10967-019-06425-9\u003c/span\u003e\u003cspan address=\"10.1007/s10967-019-06425-9\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSridharan DM, Asaithamby A, Blattnig SR, Costes SV, Doetsch PW, Dynan WS, Hahnfeldt P, Hlatky L, Kidane Y, Kronenberg A, Naidu MD, Peterson LE, Plante I, Ponomarev AL, Saha J, Snijders AM, Srinivasan K, Tang J, Werner E, Pluth JM (2016) Evaluating biomarkers to model cancer risk post cosmic ray exposure. Life Sci Space Res 9:19\u0026ndash;47. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.lssr.2016.05.004\u003c/span\u003e\u003cspan address=\"10.1016/j.lssr.2016.05.004\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eThomson B (2021) Environmental Contamination from Uranium Mining and Milling in the Western U.S. In M. Siegel, O. Selinus, \u0026amp; R. Finkelman (Eds.), \u003cem\u003ePractical Applications of Medical Geology\u003c/em\u003e (pp. 475\u0026ndash;523). Springer International Publishing. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1007/978-3-030-53893-4_15\u003c/span\u003e\u003cspan address=\"10.1007/978-3-030-53893-4_15\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eUNSCEAR (2000) Sources and Effects of Ionizing Radiation, United Nations Scientific Committee on the Effects of Atomic Radiation UNSCEAR 2000 Report to the General Assembly. Sources United Nations, with Scientific Annexes VOLUME I\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eUNSCEAR (2008) Sources and Effects of Ionizing Radiation, United Nations Scientific Committee on the Effects of Atomic Radiation UNSCEAR 2008 Report Volume I: Sources Report to the General Assembly Scientific Annexes A and B\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Background ionizing radiation (BIR), Gold mining, Annual effective dose equivalent (AEDE), Excess lifetime cancer risk (ELCR), and Absorbed dose rate (ADR)","lastPublishedDoi":"10.21203/rs.3.rs-4231430/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4231430/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis research determined the annual effective dose equivalent (AEDE) and excess lifetime cancer risk (ELCR) resulting from background ionizing radiation (BIR) within the vicinity of the Ortum and River Muruny artisanal gold mining sites in West Pokot, Kenya. The study employed a portable hand-held thermo Scientific RADEYE PRD Personal Radiation Detector for data collection. Measurements of absorbed dose rate (ADR) in air were conducted at thirty-two distinct locations within the sites and their surroundings, each positioned at 1.0 meters above ground level. The recorded ADR values ranged from 66 to 155 nGy h\u003csup\u003e− 1\u003c/sup\u003e within the sites, with an average of 106 ± 22 nGy h\u003csup\u003e− 1\u003c/sup\u003e. These readings were slightly above the global average value of 60 nGy h\u003csup\u003e− 1\u003c/sup\u003e. The AEDE ranged from 0.08 to 0.19 mSv with a mean of 0.13 ± 0.03 mSv/yr which is below the threshold limit of 1 mSv/yr. The excess lifetime cancer risk (ELCR) ranged from 0.28x10\u003csup\u003e− 3\u003c/sup\u003e to 0.67x10\u003csup\u003e− 3\u003c/sup\u003e, with an average of 0.46 ± 0.10. The values, surpass the recommended limit value of 0.299×10\u003csup\u003e− 3\u003c/sup\u003e. While AEDE values were compliant with international recommendations 1mSv/y, ELCR values surpassed the average recommended limit. This suggests that the artisanal gold mining sites pose no immediate radiological health hazards due to the absorbed dose from BIR, yet the risk of cancer development over a lifetime of exposure remains considerably high. Thus, routine monitoring of BIR, radioactivity concentration in soil and rocks, and minimizing prolonged exposure are recommended to ensure the safety of workers and residents.\u003c/p\u003e","manuscriptTitle":"Assessment of Annual Effective Dose and Excess Lifetime Cancer Risk Due to Natural Background Radiation Levels in West Pokot, Kenya","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-04-12 14:17:48","doi":"10.21203/rs.3.rs-4231430/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"921ee499-48fb-4b86-8ce8-16edf7d04e12","owner":[],"postedDate":"April 12th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-04-13T14:44:45+00:00","versionOfRecord":[],"versionCreatedAt":"2024-04-12 14:17:48","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4231430","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4231430","identity":"rs-4231430","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00