Pollution source localization in an urban water supply network based on dynamic water demand

Environmental Science and Pollution Research International
Xuesong YanTian Li

Abstract

Urban water supply networks are susceptible to intentional, accidental chemical, and biological pollution, which pose a threat to the health of consumers. In recent years, drinking-water pollution incidents have occurred frequently, seriously endangering social stability and security. The real-time monitoring for water quality can be effectively implemented by placing sensors in the water supply network. However, locating the source of pollution through the data detection obtained by water quality sensors is a challenging problem. The difficulty lies in the limited number of sensors, large number of water supply network nodes, and dynamic user demand for water, which leads the pollution source localization problem to an uncertainty, large-scale, and dynamic optimization problem. In this paper, we mainly study the dynamics of the pollution source localization problem. Previous studies of pollution source localization assume that hydraulic inputs (e.g., water demand of consumers) are known. However, because of the inherent variability of urban water demand, the problem is essentially a fluctuating dynamic problem of consumer's water demand. In this paper, the water demand is considered to be stochastic in nature and can be descri...Continue Reading

Citations

Nov 21, 2019·Environmental Science and Pollution Research International·Lian SunTao Tao
Aug 9, 2020·Environmental Science and Pollution Research International·Sanaz Mehrbakhsh, Vahidreza Ghezavati
Mar 29, 2021·Environmental Science and Pollution Research International·Xuesong YanWenyin Gong

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