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Integrated Modular Modeling of Water and Nutrients From Point and Nonpoint Sources in the Patuxent River Watershed1
Authors:Zhi‐Jun Liu  Donald E. Weller  Thomas E. Jordan  David L. Correll  Kathleen B. Boomer
Affiliation:1. Respectively, Associate Professor, Department of Geography, University of North Carolina at Greensboro, Greensboro, North Carolina 27402‐6170;2. Ecologist and Senior Scientist, Ecologist and Senior Scientist, retired, and Ecologist (Weller, Jordan, Correll, Boomer) Smithsonian Environmental Research Center, Edgewater, Maryland 21037‐0028 [Correll now at 3970 Timucua Point N., Crystal River, Florida 34428].
Abstract:
Abstract: We present a simple modular landscape simulation model that is based on a watershed modeling framework in which different sets of processes occurring in a watershed can be simulated separately with different models. The model consists of three loosely coupled submodels: a rainfall‐runoff model (TOPMODEL) for runoff generation in a subwatershed, a nutrient model for estimation of nutrients from nonpoint sources in a subwatershed, and a stream network model for integration of point and nonpoint sources in the routing process. The model performance was evaluated using monitoring data in the watershed of the Patuxent River, a tributary to the Chesapeake Bay in Maryland, from July 1997 through August 1999. Despite its simplicity, the landscape model predictions of streamflow, and sediment and nutrient loads were as good as or better than those of the Hydrological Simulation Program‐Fortran model, one of the most widely used comprehensive watershed models. The landscape model was applied to predict discharges of water, sediment, silicate, organic carbon, nitrate, ammonium, organic nitrogen, total nitrogen, organic phosphorus, phosphate, and total phosphorus from the Patuxent watershed to its estuary. The predicted annual water discharge to the estuary was very close to the measured annual total in terms of percent errors for both years of the study period (≤2%). The model predictions for loads of nutrients were also good (20‐30%) or very good (<20%) with exceptions of sediment (40%), phosphate (36%), and organic carbon (53%) for Year 1.
Keywords:watershed modeling  nonpoint source pollution  nutrients  point source pollution  simulation  Chesapeake Bay
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