SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Fecal bacteria source characterization and sensitivity analysis of SWAT 2005 
Authors:Parajuli, P.B., K.R. Douglas-Mankin, P.L. Barnes and C.G. Rossi 
Year:2009 
Journal:Transactions of the ASABE 
Volume (Issue):52(6) 
Pages:1847-1858 
Article ID: 
DOI:10.13031/2013.29213 
URL (non-DOI journals):https://elibrary.asabe.org/abstract.asp?aid=23378&t=2&redir=&redirType= 
Model:SWAT 
Broad Application Category:hydrologic and pollutant 
Primary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Secondary Application Category:pathogen fate and transport 
Watershed Description:77 km^2 Rock Creek in Douglas County, Kansas 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:The Soil and Water Assessment Tool (SWAT) version 2005 includes a microbial sub‐model to simulate fecal bacteria transport at the watershed scale. The objectives of this study were to demonstrate methods to characterize fecal coliform bacteria (FCB) source loads and to assess the model sensitivity to five user‐defined model parameters (BACTKDQ: bacteria soil partition coefficient in surface runoff, TBACT: temperature adjustment factor, WDLPQ: less‐persistent bacteria die‐off in solution phase, WDLPS: less‐persistent bacteria die‐off in sorbed phase, and BACTKKDB: bacteria partition coefficient in manure) and one input parameter (BACTLPDB: FCB concentration in manure). Fecal bacterial source loads were described and applied spatially for confined livestock, seasonal grazing livestock, failing human septic systems, and indigenous large mammal, small mammal, and avian wildlife. The relative sensitivity index (S) was tested using the independent parameter perturbation (IPP) method. Validation results for an uncalibrated SWAT model using nine runoff events from Rock Creek watershed (77 km^2) were considered adequate to proceed with sensitivity analyses. Flow simulation resulted in good coefficient of determination (R2) of 0.67 and Nash‐Sutcliffe Efficiency Index (E) of 0.55, and FCB source load characterization methods were sufficiently precise to result in fair correlation (R2 = 0.29) and reasonable measured vs. predicted response slope (0.69). Within the ranges recommended for use in SWAT, BACTKDQ had moderate sensitivity (S < 2.67) within -99.5% from 175 (baseline value), BACTLPDB had low sensitivity (S < 0.25) within -90% from 3.29 × 107 cfu 100 mL-1, BACTKKDB had low sensitivity (S < 0.12) within -89% from 0.9, TBACT had low sensitivity (S < 0.36) ±20% from 1.07, WDLPQ had low sensitivity (S < 0.25) ±50% from 0.23, and WDLPS had no sensitivity (S < 0.06) ±50% from 0.023 when compared with all surface runoff events. This study recommends that SWAT could adopt default values of 0.23 for WDLPQ and 0.023 for WDLPS without adversely affecting results. Moderate sensitivity for BACTKDQ indicates that users should select these with caution considering locally relevant data. The sensitivity of BACTKDQ was found high when compared with nine measured surface runoff events. 
Language:English 
Keywords:Fecal coliform bacteria, Sensitivity analysis, Water quality, Watershed modeling