A New Traceability Method for Sudden Water Pollution Accidents

被引:2
|
作者
Yang, Haidong [1 ]
Shao, Dongguo [1 ]
Lu, Biyu [2 ]
机构
[1] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Luojia Hill, Wuhan 430072, Peoples R China
[2] Southwest Univ, Sch Econ Management, Dept Management Sci & Engn, Nanjing 211189, Peoples R China
关键词
Sudden water pollution; Traceability; Bayesian; Differential Evolution; Monte Carlo; IDENTIFICATION; MODEL;
D O I
10.4028/www.scientific.net/AMR.807-809.1570
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Pollution point source identification for the non-shore emission which is the main form of sudden water pollution incident is considered in this paper. Firstly, the source traceability of sudden water pollution accidents is taken as the Bayesian estimation problem; secondly, the posterior probability distribution of the source's parameters are deduced; thirdly, the marginal posterior probability density is obtained by using a new traceability method; finally, this proposed method is compared with Bayesian-MCMC by numerical experiments. The conclusions are as following: the new traceability method can reduce the iterations, improve the recognition accuracy, and reduce the overall average error obviously and it is more stable and robust than Bayesian-MCMC and can identify sudden water pollution accidents' source effectively. Therefore, it provides a new idea and method to solve the difficulty of traceability problems in sudden water pollution accidents.
引用
收藏
页码:1570 / +
页数:2
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