The SimBaT model can be adopted as a Decision Support System (DSS) to simulate water resource
management scenarios working on historical hydrological data and for multiple water demands. The system returns
information both on the distribution of the deficit at the weekly scale and on the likelihood that the critical events
may occur depending on the availability and management of the volume stored in the Montedoglio reservoir. The
simulation algorithm is not strictly related to theories of economic optimization for the exploitation of the resource,
but rather aims to facilitate management policies shared amongst various stakeholders in a spirit of solidarity and
tolerance in the redistribution of deficit.
The case study shows how the combined use of models addressing, on the one hand, the water resources
management and, on the other hand, the climatic scenarios, can be useful in a field where data are highly variable
in time. Therefore, stakeholders can evaluate the impact of every climatic scenario by means of the SimBaT model
and take adequate decisions for planning the water resources management in critical situations.
Further developments can be focalized in the study of global platforms, also web-based, which may allow an
optimization in the water use at the basin scale, in order to reduce water demand in a proper way.