Data-Driven Hazardous Gas Dispersion Modeling Using the Integration of Particle Filtering and Error Propagation Detection

Data-Driven Hazardous Gas Dispersion Modeling Using the Integration of Particle Filtering and Error Propagation Detection

The accurate prediction of hazardous gas dispersion process is essential to air quality monitoring and the emergency management of contaminant gas leakage incidents in a chemical cluster. Conventional Gaussian-based dispersion models can seldom give accurate predictions due to inaccurate input param...

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Bibliographic Details
Main Authors: Zhengqiu Zhu, Sihang Qiu, Bin Chen, Rongxiao Wang, Xiaogang Qiu
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:International Journal of Environmental Research and Public Health
Subjects:
atmospheric dispersion
data-driven modeling
error propagation
particle filter
Gaussian dispersion model
Online Access:http://www.mdpi.com/1660-4601/15/8/1640

Internet

http://www.mdpi.com/1660-4601/15/8/1640

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