Comparison of Computer Models for Estimating Hydrology and Water Quality in an Agricultural Watershed

被引:0
作者
Yaoze Liu
Sisi Li
Carlington W. Wallace
Indrajeet Chaubey
Dennis C. Flanagan
Lawrence O. Theller
Bernard A. Engel
机构
[1] Purdue University,Department of Agricultural and Biological Engineering
[2] Chinese Academy of Sciences,Key Laboratory of Environment and Disaster Monitoring and Evaluation, Hubei, Institute of Geodesy and Geophysics
[3] USDA-Agricultural Research Service,Department of Earth, Atmospheric and Planetary Sciences
[4] Purdue University,undefined
来源
Water Resources Management | 2017年 / 31卷
关键词
Hydrology; Water quality; Computer model; Comparison;
D O I
暂无
中图分类号
学科分类号
摘要
Various computer models, ranging from simple to complex, have been developed to simulate hydrology and water quality from field to watershed scales. However, many users are uncertain about which model to choose when estimating water quantity and quality conditions in a watershed. This study compared hydrologic/water quality models including Spreadsheet Tool for the Estimation of Pollutant Load (STEPL)-Purdue, Soil and Water Assessment Tool (SWAT), High Impact Targeting (HIT), Long-Term Hydrologic Impact Assessment (L-THIA), Pollutant Load (PLOAD), Spatially and Temporally Distributed Model for Phosphorus Management (STEM-P), Region 5, and ensemble modeling (using STEPL-Purdue, SWAT, L-THIA, PLOAD, and STEM-P). Model capabilities, inputs, and underlying methods to estimate streamflow, surface runoff, baseflow, nutrients, and sediment were examined. Uncalibrated, calibrated, and validated outputs of these models and uncalibrated ensemble modeling in estimating water quantity and quality for a 41.5 km2 agricultural watershed in Northeastern Indiana were explored, and suggestions were provided on the selection and use of models. Models need to be selected carefully based on the simulation objectives, data availability, model characteristics, time constraints, and project budgets.
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页码:3641 / 3665
页数:24
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