An analytic-geospatial approach for sustainable water resource management: a case study in the province of Perugia
AbstractWater is a strategic, but also highly vulnerable, natural resource. This because the increasing demand from multiple uses, in many cases competing amongst them, seems to influence the concepts of sustainability of the exploitation. From the operational point of view, the studied system is an integrated decision support system. It is not only a platform to exchange information and assessments, but also a tool for conflict resolution, in the management of water resources, to obtain the consensus among all participants in the decisional processes. So the canonical “top-down” approach has been replaced with a “bottom-up” approach where all stakeholders become decision makers themselves. The application of the aforementioned approach was studied for the Tiber River basin and has been applied to the Province of Perugia area. The study focused to the building of a spatial database of hydrological data and multipurpose water withdrawals, together with the setting of the evaluation model for the surface water resources. This model bases its algorithms on regionalization procedures of flow parameters. For the definition of the river condition, hydrological indices calculated from the hydrological database have been used, while for the existing withdrawals, an analysis procedure has been developed, that from the point of interest directly selected on the map, finds out the upstream basin and, by means of overlay procedures, identifies the upstream water uses and the total flow that could be extracted. The potential of the system and the technologies used are contained in a WEB platform that allows the analysis of the database of water uses/withdrawals on the cartography, and the comparison with the hydrogeological characteristics of the sub-basin examined. The purpose of this study is to provide software tools that can be used as a support in water resource evaluation and management policies at the basin scale.
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Copyright (c) 2013 Stefano Casadei, Michele Bellezza, Luca Casagrande, Arnaldo Pierleoni
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