Title of article :
Soil loss predictions with three erosion simulation models
Author/Authors :
Samar J. Bhuyan a، نويسنده , , Prasanta K. Kalita b، نويسنده , , *، نويسنده , , Keith A. Janssen c، نويسنده , , Philip L. Barnes a، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2002
Abstract :
Quantification of soil loss is one of the greatest challenges in natural resources and environmental planning. Computer simulation
models are becoming increasingly popular in predicting soil loss for various land use and management practices. In this study,
three soil erosion prediction models — the Water Erosion Prediction Project (WEPP), the Erosion Productivity Impact Calculator
(EPIC), and the Areal Nonpoint Source Watershed Environment Response Simulation (ANSWERS) were used for simulating soil
loss and testing the capability of the models in predicting soil losses for three different tillage systems (ridge-till, chisel-plow, and
no-till). For each model, the most sensitive model parameters were calibrated using measured soil erosion data. After calibration,
models were run and predicted soil loss values were compared with the measured soil loss values. The measured soil erosion data
were collected from an erosion experiment field of Kansas State University at Ottawa (Kansas), USA. Field experiments were
conducted from 1995 to 1997 on small plots to measure runoff and soil losses under all three tillage systems. All three models
were evaluated on the basis of individual event, total yearly, and mean event-based soil loss predictions. Results showed that all
the three models performed reasonably well and the predicted soil looses were within the range of measured values. For ridge-till
and chisel-plow systems, WEPP and ANSWERS gave better predictions than those by EPIC model. For no-till system, WEPP and
EPIC predictions were better than those by ANSWERS. The overall results indicate that WEPP predictions were better than those
by the other two models in most of the cases, and it can be used with reasonable degree of confidence for soil loss quantification
for all the three tillage systems.
Keywords :
water quality , MODELING , ANSWERS , EPIC , WEPP
Journal title :
Environmental Modelling and Software
Journal title :
Environmental Modelling and Software