A Spatial Analysis to Define Data Requirements for Hydrological and Water Quality Models in Data-Limited Regions

Citation:
D'Ambrosio, E., A. M. De Girolamo, M. Spano, V. Corbelli, G. Capasso, M. Morea, R. Velardo, O. M. M. Abdelwahab, A. Lonigro, F. Milillo, et al., "A Spatial Analysis to Define Data Requirements for Hydrological and Water Quality Models in Data-Limited Regions", {WATER}, vol. {11}, no. {2}, {FEB}, 2019.

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.}

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