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Journal of System Simulation

Abstract

Abstract: Studying the source term estimation methods of pollution in chemical clusters is effective to avoid accidents, since biochemical disasters have brought great loss to human beings. Safety monitoring of chemical industry parks was modeled via unmanned aerial vehicle (UAV) monitoring system, inverse problem model, ridge regression model, and particle swarm optimization algorithm. Based on that, a practical case was given to analyze results of experiment. Research findings are helpful for risk assessments and emergency management.

First Page

2134

Last Page

2139

CLC

TP391.9

Recommended Citation

Zhu Zhengqiu, Chen Bin, Qiu Sihang, Wang Rongxiao, Qiu Xiaogang. Research and Implementation on Source Term Estimation Methods of Pollution in Chemical Parks[J]. Journal of System Simulation, 2017, 29(9): 2134-2139.

DOI

10.16182/j.issn1004731x.joss.201709035

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