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

Yaoze Liu, Sisi Li, Carlington W. Wallace, Indrajeet Chaubey, Dennis C. Flanagan, Lawrence O. Theller and Bernard A. Engel ()
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Yaoze Liu: Purdue University
Sisi Li: Purdue University
Carlington W. Wallace: Purdue University
Indrajeet Chaubey: Purdue University
Dennis C. Flanagan: Purdue University
Lawrence O. Theller: Purdue University
Bernard A. Engel: Purdue University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2017, vol. 31, issue 11, No 23, 3665 pages

Abstract: Abstract 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.

Keywords: Hydrology; Water quality; Computer model; Comparison (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s11269-017-1691-9

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