Urban drainage network (UDN) monitoring is an important task whose planning can be related to various purposes, as for example contaminant detection and epidemiological studies. This paper proposes two different strategies for the identification of a monitoring system for UDNs. The optimal solution, in terms of location and number of sensors, is firstly addressed using a deterministic approach. A new mathematical model is developed and a global optimization solver is employed to perform the optimization procedure. Secondly, the position of devices is also investigated using a new strategy based on the complex network theory (CNT) tools. The comparison between the results achieved by both the strategies is finally presented with reference to a benchmark network.
Monitoring planning for urban drainage networks / Simone, Antonietta; Cesaro, Alessandra; Cristo, Cristiana Di; Fecarotta, Oreste; Morani, Maria Cristina. - In: IOP CONFERENCE SERIES. EARTH AND ENVIRONMENTAL SCIENCE. - ISSN 1755-1307. - 1136:012008(2023). (Intervento presentato al convegno 14th International Conference on Hydroinformatics tenutosi a Bucharest nel July 2022through 8 July 2022) [10.1088/1755-1315/1136/1/012008].
Monitoring planning for urban drainage networks
Simone, Antonietta
;Cesaro, Alessandra;Cristo, Cristiana Di;Fecarotta, Oreste;Morani, Maria Cristina
2023
Abstract
Urban drainage network (UDN) monitoring is an important task whose planning can be related to various purposes, as for example contaminant detection and epidemiological studies. This paper proposes two different strategies for the identification of a monitoring system for UDNs. The optimal solution, in terms of location and number of sensors, is firstly addressed using a deterministic approach. A new mathematical model is developed and a global optimization solver is employed to perform the optimization procedure. Secondly, the position of devices is also investigated using a new strategy based on the complex network theory (CNT) tools. The comparison between the results achieved by both the strategies is finally presented with reference to a benchmark network.File | Dimensione | Formato | |
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