A spatial analysis to define data requirements for hydrological andwater quality models in data-limited regions

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-NO 3 and P-PO 4 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-NO 3 and 40% for P-PO 4 . The contributions of point sources in terms of N-NO 3 and P-PO 4 were estimated at 45% and 77%, respectively. This study defines a procedure for supporting modelling activities at the basin scale for data-limited regions.