| Autor: |
Sambito, Mariacrocetta, Piazza, Stefania, Freni, Gabriele |
| Předmět: |
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| Zdroj: |
Environmental Sciences Proceedings; Sep2023, Vol. 21, p42, 5p |
| Abstrakt: |
In the water sector, the problem of pollution-source identification was mainly investigated regarding pressurized distribution networks, with respect to sewers. Even if the Water Framework Directive 2000/60/EC and equivalent law-making bodies in many countries introduce the principle that the polluter pays, it is 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 previous literature, the present work aims to improve it by inserting new information beyond network topology. The methodology is applied to the real test case represented by the sub-catchment of the sewer system Palermo (Italy). [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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