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Fast and optimal decision for emergency control of sudden water pollution accidents in long distance water diversion projects
Author(s) -
Qiao Yu,
Xiaohui Lei,
Yan Long,
Jiahong Li,
Yilin Yang,
Yu Tian,
Youming Li,
Ye Yao,
Wenjuan Chang
Publication year - 2020
Publication title -
water science and technology water supply
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 39
eISSN - 1607-0798
pISSN - 1606-9749
DOI - 10.2166/ws.2020.053
Subject(s) - water diversion , analytic hierarchy process , environmental science , control (management) , pollution , operations research , computer science , water resource management , transport engineering , environmental engineering , engineering , ecology , artificial intelligence , biology
Long distance water diversion projects transfer clean water to cities for industrial, agricultural and domestic use; there is a great risk of sudden water pollution accidents. Without a fast and optimal decision for emergency control in response to sudden water pollution accidents, dispatchers or decision-makers will not be prepared to respond to the accidents during the process of an emergency spill. To address this gap, a framework for fast and optimal decision support in emergency control is reported in this paper. The proposed fast and optimal decision system covers four stages. In this study, the analytical hierarchy process integrated with grey fixed weight clustering was used to determine the gate closing mode. The emergency control strategy in ice cover formation period is presented. A case study was examined in the demonstrative project conducted in the Middle Route of the South-to-North Water Diversion Project in China. The relative errors of the arrival time of the peak concentration and the peak concentration in monitoring points between the actual monitoring values and the formula calculation values are less than 18%.

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