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 or 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 |