13th Computer Control for Water Industry Conference, CCWI 2015 Optimal sensors placement for flood forecasting modelling

Numerical models are instrumental to more effective flood forecasting and management services though they suffer from n umerous uncertainty sources. An effective model calibration is hence ess ential. In this research work, a methodology of optimal sampling design has been investigated and developed for water drainage networks. Optimal hydrometer sensors locations along the Amato River (South Italy) have been defined by optimizing a two-objective function that maximizes the calibrated model accu racy and minimizes the total metering cost. This problem has been solved by using an enumerative search solution, run on th e ENEA/CRESCO HPC infrastructure, evaluating the exact Pareto-front by efficient computational time.

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