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Water 2019, 11(2), 267; https://doi.org/10.3390/w11020267

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

1
Department of Agricultural and Environmental Sciences, University of Bari Aldo Moro, 70126 Bari, Italy
2
Water Research Institute, National Research Council, 70132 Bari, Italy
3
Commissario Straordinario per gli Interventi Urgenti di Bonifica, Ambientalizzazione e Riqualificazione di Taranto, 81100 Caserta, Italy
4
Department of Agricultural Engineering, Faculty of Agriculture, Cairo University, Giza 12613, Egypt
*
Author to whom correspondence should be addressed.
Received: 17 December 2018 / Revised: 25 January 2019 / Accepted: 30 January 2019 / Published: 3 February 2019
(This article belongs to the Special Issue Diffuse Water Pollution)
Full-Text   |   PDF [3821 KB, uploaded 3 February 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. View Full-Text
Keywords: surface water monitoring; point and non-point source pollution; Mediterranean basin; temporary river; spatial analysis surface water monitoring; point and non-point source pollution; Mediterranean basin; temporary river; spatial analysis
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D’Ambrosio, E.; De Girolamo, A.M.; Spanò, M.; Corbelli, V.; Capasso, G.; Morea, M.; Velardo, R.; Abdelwahab, O.M.; Lonigro, A.; Milillo, F.; Ricci, G.F.; Romano, G.; Calabrese, A.; Casale, B.; Mauro, R.; Pappagallo, G.; Gentile, F. A Spatial Analysis to Define Data Requirements for Hydrological and Water Quality Models in Data-Limited Regions. Water 2019, 11, 267.

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