2013
DOI: 10.4236/jep.2013.47a010
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SWAT Model Prediction of Phosphorus Loading in a South Carolina Karst Watershed with a Downstream Embayment

Abstract: The SWAT model was used to predict total phosphorus (TP) loadings for a 1555-ha karst watershed-Chapel Branch Creek (CBC)-which drains to a lake via a reservoir-like embayment (R-E). The model was first tested for monthly streamflow predictions from tributaries draining three potential source areas as well as the downstream R-E, followed by TP loadings using data collected March 2007-October 2009. Source areas included 1) a golf course that received applied wastewater, 2) urban areas, highway, and some agricul… Show more

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Cited by 15 publications
(6 citation statements)
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“…The SWAT model [24] is widely used to simulate watershed processes [18,19,[30][31][32][33]. SWAT is a semi-distributed watershed model focused on land management at a basin scale.…”
Section: The Soil and Water Assessment Tool (Swat) Modelmentioning
confidence: 99%
“…The SWAT model [24] is widely used to simulate watershed processes [18,19,[30][31][32][33]. SWAT is a semi-distributed watershed model focused on land management at a basin scale.…”
Section: The Soil and Water Assessment Tool (Swat) Modelmentioning
confidence: 99%
“…4c), but failed in reproducing the highest peaks (more evident for total N), particularly in summer months. Some of the discrepancies may be attributed to the use of literature-based model input parameters for N and P cycling and transport processes (Amatya et al, 2013). Other discrepancies may be attributed to the flow predictions in summer months, and sampling methods might also have contributed to model overand under-predictions.…”
Section: Trophic State Multivariate Indexmentioning
confidence: 97%
“…SWAT is a river basin scale model developed to predict the impact of land management practices on water, sediment and agricultural chemical yields in large complex watershed with varying soils, land use and management conditions over extended periods of time [6,20]. SWAT is a long-term yield model extensively used to simulate watersheds on multiple spatial-temporal scales including hydrological processes [7,9,31,32], fate and transport of sediment and nutrients [33][34][35], land use change [36], climate change [37][38][39][40][41][42][43], and others.…”
Section: Hydrologic Model Overview-swatmentioning
confidence: 99%