SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Simulating ecologically relevant hydrological indicators in a temporary river system 
Authors:De Girolamo A.M., E. Barca, G. Pappagallo and A. Lo Porto 
Year:2017 
Journal:Agricultural Water Management 
Volume (Issue):180(Part B) 
Pages:194–204 
Article ID: 
DOI:10.1016/j.agwat.2016.05.034 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:hydrologic, pollutant and/or crop indices (or metrics) 
Secondary Application Category:hydrologic assessment 
Watershed Description:327 km^2 Celone River, located in the Apulia region in southern Italy. 
Calibration Summary: 
Validation Summary: 
General Comments:This article is one of eight articles (besides the overiew article) for Part II of a SWAT Special Issue that was published in Agricultural Water Management. The citation for the overview article is: Volk, M., D. Bosch, V. Nagia and Balaji Narasimhan. 2017. SWAT: Agricultural water and nonpoint source pollution management at a watershed scale—Part II. Agricultural Water Management. 180(Part B): 191-193. Doi: 10.1016/j.agwat.2016.09.029. The present paper describes a study which aims to (1) predict streamflow in a temporary river (Celone, Apulia in southern Italy) oriented to support eco-hydrological studies such as environmental flow and hydrological alteration assessment; and (2) analyze the general reliability of some hydrological indicators evaluated by using simulated data instead of measured streamflow data. This study is not intended to be an evaluation of the SWAT model capabilities and the processes it predicts, nor a description of the basin characteristics. Going beyond a typical hydrological simulation of a basin with a temporary river system, this research work focused on the general capabilities as well as parameter uncertainties surrounding the replications of some hydrological indicators. 
Language:English 
Keywords:Temporary stream; Hydrological modeling; Low flow simulation; Hydrological indicators