Comparative analysis of two infiltration models for application in a physically based overland flow model

In the prediction of overland flow, infiltration is an essential component, which should be modeled accurately to achieve optimum runoff rates. Many mathematical models that simulate the details of runoff and erosion process in hillslopes, where the rill-interrill configuration significantly affects...

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Main Authors: Mallari, Kristine Joy B., Arguelles, Anya Catherine C., Kim, Hwansuk, Aksoy, Hafzullah, Kavvas, M. Levent, Yoon, Jaeyoung
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Published: Animo Repository 2015
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/12585
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-144892024-05-29T00:12:22Z Comparative analysis of two infiltration models for application in a physically based overland flow model Mallari, Kristine Joy B. Arguelles, Anya Catherine C. Kim, Hwansuk Aksoy, Hafzullah Kavvas, M. Levent Yoon, Jaeyoung In the prediction of overland flow, infiltration is an essential component, which should be modeled accurately to achieve optimum runoff rates. Many mathematical models that simulate the details of runoff and erosion process in hillslopes, where the rill-interrill configuration significantly affects overland flow, employ Horton’s model for infiltration due to its simplicity. However, Horton’s model does not handle adequately antecedent moisture condition (AMC) of soil. In this study, the Green-Ampt infiltration model is incorporated into a physically based overland flow model, which was originally coupled with Horton’s equation in an effort to improve the overland flow model’s prediction ability. In so doing, the model used the Horton and Green-Ampt model as an infiltration component separately and simulated flow to directly compare which infiltration equation performs better with the overland flow model. Calibration using laboratory data produced good results for both Horton with NSE = 0.88 and r 2 = 0.92 and Green-Ampt with NSE = 0.90 and r 2 = 0.95 while in validation, the Horton-coupled model produced lower NSE = 0.64 and r 2 = 0.84 than the Green-Ampt which produced NSE = 0.85 and r 2 = 0.85. The results suggest that the Green-Ampt equation can improve the performance of the overland flow model with its ability to account more accurately the AMC and flow processes in the soil. 2015-02-05T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/12585 info:doi/10.1007/s12665-015-4155-7 Faculty Research Work Animo Repository Soil infiltration rate Hydrologic models Civil and Environmental Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Soil infiltration rate
Hydrologic models
Civil and Environmental Engineering
spellingShingle Soil infiltration rate
Hydrologic models
Civil and Environmental Engineering
Mallari, Kristine Joy B.
Arguelles, Anya Catherine C.
Kim, Hwansuk
Aksoy, Hafzullah
Kavvas, M. Levent
Yoon, Jaeyoung
Comparative analysis of two infiltration models for application in a physically based overland flow model
description In the prediction of overland flow, infiltration is an essential component, which should be modeled accurately to achieve optimum runoff rates. Many mathematical models that simulate the details of runoff and erosion process in hillslopes, where the rill-interrill configuration significantly affects overland flow, employ Horton’s model for infiltration due to its simplicity. However, Horton’s model does not handle adequately antecedent moisture condition (AMC) of soil. In this study, the Green-Ampt infiltration model is incorporated into a physically based overland flow model, which was originally coupled with Horton’s equation in an effort to improve the overland flow model’s prediction ability. In so doing, the model used the Horton and Green-Ampt model as an infiltration component separately and simulated flow to directly compare which infiltration equation performs better with the overland flow model. Calibration using laboratory data produced good results for both Horton with NSE = 0.88 and r 2 = 0.92 and Green-Ampt with NSE = 0.90 and r 2 = 0.95 while in validation, the Horton-coupled model produced lower NSE = 0.64 and r 2 = 0.84 than the Green-Ampt which produced NSE = 0.85 and r 2 = 0.85. The results suggest that the Green-Ampt equation can improve the performance of the overland flow model with its ability to account more accurately the AMC and flow processes in the soil.
format text
author Mallari, Kristine Joy B.
Arguelles, Anya Catherine C.
Kim, Hwansuk
Aksoy, Hafzullah
Kavvas, M. Levent
Yoon, Jaeyoung
author_facet Mallari, Kristine Joy B.
Arguelles, Anya Catherine C.
Kim, Hwansuk
Aksoy, Hafzullah
Kavvas, M. Levent
Yoon, Jaeyoung
author_sort Mallari, Kristine Joy B.
title Comparative analysis of two infiltration models for application in a physically based overland flow model
title_short Comparative analysis of two infiltration models for application in a physically based overland flow model
title_full Comparative analysis of two infiltration models for application in a physically based overland flow model
title_fullStr Comparative analysis of two infiltration models for application in a physically based overland flow model
title_full_unstemmed Comparative analysis of two infiltration models for application in a physically based overland flow model
title_sort comparative analysis of two infiltration models for application in a physically based overland flow model
publisher Animo Repository
publishDate 2015
url https://animorepository.dlsu.edu.ph/faculty_research/12585
_version_ 1802997444561076224