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- W2794173208 abstract "Urban water monitoring is an important task for quantitative and qualitative management of surface runoff. A methodology based on entropy theory is developed in this paper to design a water quality monitoring network for urban drainage systems. This method employs SWMM-EPA simulation model to predict times series of water quality parameters in candidate pipes or channels of the network. A well-known evolutionary algorithm, called Differential Evolution (DE), is used on the other hand to find best sites of monitoring based on maximizing the joint entropy obtained by information associated with water quality time series. The approach is applied to main drainage network of Tehran city and its performance is investigated in comparison to a recently monitoring network proposal. Results show the merit of entropy method in providing high level of information content with a significantly smaller number of monitoring sites respect to the previous design." @default.
- W2794173208 created "2018-03-29" @default.
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- W2794173208 date "2018-01-24" @default.
- W2794173208 modified "2023-09-30" @default.
- W2794173208 title "Water quality monitoring network design for urban drainage systems, an entropy method" @default.
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- W2794173208 doi "https://doi.org/10.1080/1573062x.2018.1424215" @default.
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