SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Development of algorithms for modeling onsite wastewater systems within SWAT 
Authors:Jeong, J., C. Santhi, J.G. Arnold, R. Srinivasan, S. Pradhan and K. Flynn 
Journal:Transactions of the ASABE 
Article ID: 
URL (non-DOI journals):http://cat.inist.fr/?aModele=afficheN&cpsidt=24771138 
Model:SWAT (modified) 
Broad Application Category:hydrologic & pollutant 
Primary Application Category:on-site wastewater systems 
Secondary Application Category:nutrient cycling and transport 
Watershed Description:1.72 km^2 Hoods Creek in eastern North Carolina, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments:This paper is part of the Trans. ASABE 2011 Vol. 54(5) special SWAT issue that contains 12 SWAT-related studies, with four additional papers forthcoming in Applied Engr. in Agricultural 2011 Vol. 27(6) 
Abstract:Onsite wastewater systems (OWSs) are a significant source of nonpoint-source pollution to surface and groundwater in both rural and suburban settings. Methods to quantify their effect are therefore important. The mechanics of OWS biogeochemical processes are well studied. However, tools for their assessment, especially at the watershed scale, are limited. As part of this work, modeling capabilities were developed within the Soil Water Assessment Tool (SWAT) such that OWSs and their subsequent environmental impacts can be evaluated A case study was initiated on the Hoods Creek watershed in North Carolina to test the new SWAT algorithms. Included were: (1) field-scale simulations of groundwater quantity (water table height) and quality (N, P), (2) Monte Carlo evaluations of OWS service life to evaluate suggested calibration parameters, and (3) assessments of watershed-scale pollutant loadings within the model. Results were then analyzed at both the field and watershed scales. The model performed well in predicting both site groundwater table levels (R^2 = 0.82 and PBIAS = -0.8%) and NO3-N concentration in the groundwater (R^2 = 0.76, PBIAS = 2.5%). However, the performance for PO4-P simulations was less reliable due to difficulty in representing the mobility of soluble P in the soil. An advanced P algorithm is recommended to address the sophisticated physiochemical properties of soil particles and improve the model's performance. 
Keywords:Hydrologic modeling, Hydrology, SWAT, Water quality, Watershed