Numerical models are instrumental to more effective flood forecasting and management services though they suffer from numerous uncertainty sources. An effective model calibration is hence essential. 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 accuracy and minimizes the total metering cost. This problem has been solved by using an enumerative search solution, run on the ENEA/CRESCO HPC infrastructure, evaluating the exact Pareto-front by efficient computational time. © 2015 Published by Elsevier Ltd.
|Titolo:||Optimal sensors placement for flood forecasting modelling|
|Data di pubblicazione:||2015|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|