SWAT Literature Database for Peer-Reviewed Journal Articles

Title:A spatial analysis to define data requirements for hydrological and water quality models in data-limited regions 
Authors:Ambrosio, E.D’., A.M. De Girolamo, M. Spanò, V. Corbelli, G. Capasso, M. Morea, R. Velardo, O.M.M. Abdelwahab, A. Lonigro, F. Milillo, G.F. Ricci, G. Romano, A. Calabrese, B. Casale, R. Mauro, G. Pappagallo and F. Gentile 
Year:2019 
Journal:Water 
Volume (Issue):11(2) 
Pages: 
Article ID:267 
DOI:10.3390/w11020267 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:watershed descriptions 
Primary Application Category:data and/or component contribution to SWAT 
Secondary Application Category:none 
Watershed Description:408 km^2 Canale d' Aiedda River, located in the Puglia region in southern Italy. 
Calibration Summary: 
Validation Summary: 
General Comments:The study describes development of databases that can support applications of SWAT but does not describe an actual application of SWAT. 
Abstract:The objective of the present work is a spatial analysis aimed at supporting hydrological and water quality model applications in the Canale d’Aiedda basin (Puglia, Italy), a data-limited area. The basin is part of the sensitive environmental area of Taranto that requires remediation of the soil, subsoil, surface water, and groundwater. A monitoring plan was defined to record the streamflow and water quality parameters needed for calibrating and validating models, and a database archived in a GIS environment was built, which includes climatic data, soil hydraulic parameters, groundwater data, surface water quality parameters, point-source parameters, and information on agricultural practices. Based on a one-year monitoring of activities, the average annual loads of N-NO3 and P-PO4 delivered to the Mar Piccolo amounted to about 42 t year−1, and 2 t year−1, respectively. Knowledge uncertainty in monthly load estimation was found to be up to 25% for N-NO3 and 40% for P-PO4. The contributions of point sources in terms of N-NO3 and P-PO4 were estimated at 45% and 77%, respectively. This study defines a procedure for supporting modelling activities at the basin scale for data-limited regions. 
Language:English 
Keywords:surface water monitoring; point and non-point source pollution; Mediterranean basin; temporary river; spatial analysis