Author(s): Mariacrocettasambito; Gabriele Freni; Stefania Piazza

Linked Author(s): Gabriele Freni

Keywords: Modelling; Pollution detection; Sensors; Urban drainage

Abstract: In the water sector, the problem of polluting source identification was mainly investigated regarding pressurized distribution networks respect to sewers even if the Water Framework Directive 2000/60/EC and equivalent laws in many countries introduce the principle that the polluter pays so asking the water manager to detect the most pollutant discharges in sewers. In previous studies, a probabilistic approach to positioning water quality sensors in urban drainage networks shows the progressive increase in identification probability obtained through the Bayesian approach. Following the past literature, the present work aims to improve it, inserting new information beyond network topology, i. e. a piece of grey information from commercial/industrial activities inventory. The methodology is applied on the real test-case represented by the sub-catchment of sewer system Palermo (Italy).

DOI: https://doi.org/10.3850/iahr-hic2483430201-293

Year: 2024