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.
Recommended Citation
Zhu, Zhengqiu; Chen, Bin; Qiu, Sihang; Wang, Rongxiao; and Qiu, Xiaogang
(2020)
"Research and Implementation on Source Term Estimation Methods of Pollution in Chemical Parks,"
Journal of System Simulation: Vol. 29:
Iss.
9, Article 35.
DOI: 10.16182/j.issn1004731x.joss.201709035
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss9/35
First Page
2134
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201709035
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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