Data-Modelling Applications in Water System Management

Dear Colleagues,

Water system management has a direct impact on natural and urban environments, covering a wide spectrum of field applications, ranging from watershed and groundwater management to natural and antropic water systems for water supply and wastwater harvesting. The complexity of many phenomena undelying such systems has motivated many researchers, in the last few decades, in exploiting data-driven modeling, including techniques such as artificial neural networks, rule-based models, or population-based strategies. On the one hand, such techniques permit the determination of the relationships between input and output field data using representative trainig sets. On the other hand, data-driven modeling is used to mine knowledge from data, thus, unveiling new relationships among the observed variables, which would be difficult to discover using physically-based aproaches.

This Special Issue aims at collecting different contributions in the area of water system management, where various data modeling techniques are applied for system analysis and decision support purposes. The main aim is to promote the interdisciplinary exchange of experiences and to provide stimuli for future research in data-driven modeling for water system management. This might include, though not be limited to, development and application of novel data-driven modeling for ad hoc water system managemnt purposes; comparisons among different data-modeling techniques applied to water system analysis and management; and application of data-driven modeling to support water system regulation.

Dr. Luigi Berardi
Dr. Daniele Laucelli
Guest Editor

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