Applicability of literature values for Green-Ampt parameters to account for infiltration in hydrodynamic rainfall-runoff simulations in ungauged basins

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This study evaluated Green-Ampt infiltration parameters from literature in hydrodynamic simulations, finding Innovyze values performed better than Rawls et al. and suggesting significant hydraulic conductivity reduction for bare sandy soils.

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This study evaluated how well Green-Ampt infiltration parameter values from literature can be used in hydrodynamic rainfall-runoff simulations when calibration data are unavailable, using the 2D shallow water model Hydroinformatics Modeling System (HMS). They simulated multiple settings—laboratory experiments, a plot-scale Thiès catchment site in Senegal, and flash-flood events near El Gouna, Egypt—and compared runoff/wetting outcomes from calibrated models to those obtained using average Green-Ampt parameters after Rawls et al. and Innovyze. Results showed that Rawls-based values underestimated infiltration in two laboratory experiments but overestimated infiltration in the Senegal field case, while Innovyze-based values produced the opposite pattern and performed better overall, though in an Egyptian ungauged flash-flood case both sources overestimated infiltration area versus observations. The paper explicitly cautions that hydraulic conductivity in ungauged bare sandy soils likely needs substantial reduction (about 90–100%) relative to the Rawls-based value. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract This study aims to evaluate the suitability of literature parameter values for the Green-Ampt infiltration model to be used in hydrodynamic rainfall-runoff simulations. The outcome of this study supports to decide which literature values should be taken if observed data for model calibration is not available. Different laboratory experiments, a plot-scale experiment in the Thiès catchment in Senegal, and flash floods in the region of El Gouna in Egypt have been simulated with the 2D shallow water model Hydroinformatics Modeling System (hms) incorporating the Green-Ampt model. For four test cases with available runoff data, the results of the calibrated models were compared to those obtained from average values after Rawls et al. [54] and Innovyze [27]. The results showed a clear underestimation of infiltration in two of three considered laboratory experiments, while for a field experiment in Senegal, average values after Rawls et al. [54] led to a strong overestimation and the ones after Innovyze [27] to an underestimation of infiltration. In a case study on flash floods in an ungauged region in Egypt, the values of both sources led to a strong overestimation of infiltration, when the simulation results are compared to observed flooding areas. It can be concluded, that the values after Innovyze [27] lead to overall better results than the ones after Rawls et al. [54]. According to the results, the hydraulic conductivity in ungauged areas with bare sandy soil should be reduced by about 90–100 % compared to the value after Rawls et al. [54].
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Applicability of literature values for Green-Ampt parameters to account for infiltration in hydrodynamic rainfall-runoff simulations in ungauged basins | 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 Applicability of literature values for Green-Ampt parameters to account for infiltration in hydrodynamic rainfall-runoff simulations in ungauged basins Franziska Tügel, Aziz Hassan, Jingming Hou, Reinhard Hinkelmann This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-237260/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 16 Aug, 2021 Read the published version in Environmental Modeling & Assessment → Version 1 posted 4 You are reading this latest preprint version Abstract This study aims to evaluate the suitability of literature parameter values for the Green-Ampt infiltration model to be used in hydrodynamic rainfall-runoff simulations. The outcome of this study supports to decide which literature values should be taken if observed data for model calibration is not available. Different laboratory experiments, a plot-scale experiment in the Thiès catchment in Senegal, and flash floods in the region of El Gouna in Egypt have been simulated with the 2D shallow water model Hydroinformatics Modeling System (hms) incorporating the Green-Ampt model. For four test cases with available runoff data, the results of the calibrated models were compared to those obtained from average values after Rawls et al. [ 54 ] and Innovyze [ 27 ]. The results showed a clear underestimation of infiltration in two of three considered laboratory experiments, while for a field experiment in Senegal, average values after Rawls et al. [ 54 ] led to a strong overestimation and the ones after Innovyze [ 27 ] to an underestimation of infiltration. In a case study on flash floods in an ungauged region in Egypt, the values of both sources led to a strong overestimation of infiltration, when the simulation results are compared to observed flooding areas. It can be concluded, that the values after Innovyze [ 27 ] lead to overall better results than the ones after Rawls et al. [ 54 ]. According to the results, the hydraulic conductivity in ungauged areas with bare sandy soil should be reduced by about 90–100 % compared to the value after Rawls et al. [ 54 ]. Environmental Engineering robust 2D shallow water model hydrodynamic rainfall-runoff modeling Hydroinformatics Modeling System ungauged catchments automatic calibration Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11 Figure 12 Figure 13 Figure 14 Full Text Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the latest manuscript can be downloaded and accessed as a PDF. Cite Share Download PDF Status: Published Journal Publication published 16 Aug, 2021 Read the published version in Environmental Modeling & Assessment → Version 1 posted Reviewers invited by journal 28 Feb, 2021 Reviews received at journal 28 Feb, 2021 Editor invited by journal 11 Feb, 2021 First submitted to journal 14 Jan, 2021 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-237260","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":14225453,"identity":"8043c61f-f6ce-4831-9955-b4ab5804dd25","order_by":0,"name":"Franziska 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The outcome of this study supports to decide which literature values should be taken if observed data for model calibration is not available. Different laboratory experiments, a plot-scale experiment in the Thi\u0026egrave;s catchment in Senegal, and flash floods in the region of El Gouna in Egypt have been simulated with the 2D shallow water model Hydroinformatics Modeling System (hms) incorporating the Green-Ampt model. For four test cases with available runoff data, the results of the calibrated models were compared to those obtained from average values after Rawls et al. [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e] and Innovyze [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. The results showed a clear underestimation of infiltration in two of three considered laboratory experiments, while for a field experiment in Senegal, average values after Rawls et al. [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e] led to a strong overestimation and the ones after Innovyze [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e] to an underestimation of infiltration. In a case study on flash floods in an ungauged region in Egypt, the values of both sources led to a strong overestimation of infiltration, when the simulation results are compared to observed flooding areas. It can be concluded, that the values after Innovyze [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e] lead to overall better results than the ones after Rawls et al. [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. According to the results, the hydraulic conductivity in ungauged areas with bare sandy soil should be reduced by about 90\u0026ndash;100 % compared to the value after Rawls et al. 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