Optimal sensors placement for flood forecasting modelling

Grazia Fattoruso, Annalisa Agresta, Guido Guarnieri, Bruno Lanza, Antonio Buonanno, Mario Molinara, Claudio Marrocco, Saverio De Vito, Francesco Tortorella, Girolamo Di Francia

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

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.

Conference

Conference29th European Conference on Solid-State Transducers, EUROSENSORS 2015; Freiburg; Germany; 6 September 2015 through 9 September 2015.
CountryGermany
CityFreiburg
Period1/1/15 → …

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Fattoruso, G., Agresta, A., Guarnieri, G., Lanza, B., Buonanno, A., Molinara, M., ... Di Francia, G. (2015). Optimal sensors placement for flood forecasting modelling. Paper presented at 29th European Conference on Solid-State Transducers, EUROSENSORS 2015; Freiburg; Germany; 6 September 2015 through 9 September 2015., Freiburg, Germany. https://doi.org/10.1016/j.proeng.2015.08.971