SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Economic analysis using SWAT-simulated potential switchgrass and miscanthus yields in the Yazoo River Basin 
Authors:Kim, H. and P.B. Parajuli 
Journal:Transactions of the ASABE 
Article ID: 
URL (non-DOI journals):http://elibrary.asabe.org/abstract.asp?aid=42504&t=3&dabs=Y&redir=&redirType= 
Broad Application Category:hydrologic only 
Primary Application Category:economic assessment 
Secondary Application Category:crop growth/yield or plant parameters 
Watershed Description:35,000 km^2 Yazoo River in northwest Mississippi, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:This study was carried out in the Yazoo River basin (YRB) in northwestern Mississippi to assess the potential crop yield of switchgrass (Panicum virgatum L.) and miscanthus (Miscanthus × giganteus) using the Soil and Water Assessment Tool (SWAT) model. Model-simulated long-term streamflow, and soybean and corn yields for the watershed were compared with available observed data. The results showed good agreement between simulated and observed values. The average yield predicted by the calibrated SWAT model was 11 Mg ha-1 (from 8 to 13 Mg ha-1) for switchgrass and 34 Mg ha-1 (from 25 to 45 Mg ha-1) for miscanthus. Both switchgrass and miscanthus yields were determined higher in the central part of the YRB than in other areas. The economic analysis estimated the average farm-gate breakeven prices of switchgrass and miscanthus at $111 Mg-1 and $39 Mg-1, respectively. The breakeven prices of both switchgrass and miscanthus were estimated lower in the central regions of the YRB than in the other areas of the watershed due to higher crop yields. Conversely, the breakeven prices of both crops were higher in the northern regions of the watershed due to lower crop yields. This study demonstrated that SWAT-simulated bioenergy crop yields at the watershed scale can be used effectively in watershed-scale economic analysis to determine the farm-gate breakeven price, which may provide useful information to producers and watershed managers who are charged with significant land use decisions. 
Keywords:Bioenergy crop, Breakeven price, Crop yield, SWAT, Watershed modeling