Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 61, Issue -, Pages 121-134Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2014.07.004
Keywords
Watershed modeling; Eutrophication; Runoff; Great Lakes; Lake Erie; Allochthonous inputs; Non-point source pollution; Algal bloom
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Funding
- NSF Dynamics of Coupled Natural and Human Systems Program [BCS-1114934]
- Ohio Sea Grant College Program [R/ES 60043508]
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [1313897] Funding Source: National Science Foundation
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Selection of strategies that help reduce riverine inputs requires numerical models that accurately quantify hydrologic processes. While numerous models exist, information on how to evaluate and select the most robust models is limited. Toward this end, we developed a comprehensive approach that helps evaluate watershed models in their ability to simulate flow regimes critical to downstream ecosystem services. We demonstrated the method using the Soil and Water Assessment Tool (SWAT), the Hydrological Simulation Program-FORTRAN (HSPF) model, and Distributed Large Basin Runoff Model (DLBRM) applied to the Maumee River Basin (USA). The approach helped in identifying that each model simulated flows within acceptable ranges. However, each was limited in its ability to simulate flows triggered by extreme weather events, owing to algorithms not being optimized for such events and mismatched physiographic watershed conditions. Ultimately, we found HSPF to best predict river flow, whereas SWAT offered the most flexibility for evaluating agricultural management practices. (C) 2014 Elsevier Ltd. All rights reserved.
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