Research and Implementation on Source Term Estimation Methods of Pollution in Chemical Parks

doi:10.16182/j.issn1004731x.joss.201709035

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.

Key words: biochemical disasters, inverse problem model, ridge regression, PSO, UAVs monitoring system

CLC Number:

TP391.9

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.

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