TY - JOUR
T1 - Comparative analysis of two infiltration models for application in a physically based overland flow model
AU - Mallari, Kristine Joy B.
AU - Arguelles, Anya Catherine C.
AU - Kim, Hwansuk
AU - Aksoy, Hafzullah
AU - Kavvas, M. Levent
AU - Yoon, Jaeyoung
N1 - Publisher Copyright:
© 2015, Springer-Verlag Berlin Heidelberg.
PY - 2015/7/26
Y1 - 2015/7/26
N2 - 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 r2 = 0.92 and Green-Ampt with NSE = 0.90 and r2 = 0.95 while in validation, the Horton-coupled model produced lower NSE = 0.64 and r2 = 0.84 than the Green-Ampt which produced NSE = 0.85 and r2 = 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.
AB - 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 r2 = 0.92 and Green-Ampt with NSE = 0.90 and r2 = 0.95 while in validation, the Horton-coupled model produced lower NSE = 0.64 and r2 = 0.84 than the Green-Ampt which produced NSE = 0.85 and r2 = 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.
KW - Green-Ampt infiltration model
KW - Hillslope scale
KW - Horton’s model
KW - Interrill
KW - Overland flow model
KW - Rill
UR - http://www.scopus.com/inward/record.url?scp=84932199597&partnerID=8YFLogxK
U2 - 10.1007/s12665-015-4155-7
DO - 10.1007/s12665-015-4155-7
M3 - Article
AN - SCOPUS:84932199597
SN - 1866-6280
VL - 74
SP - 1579
EP - 1587
JO - Environmental Earth Sciences
JF - Environmental Earth Sciences
IS - 2
ER -