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Wang, Rongxiao (author), Chen, B. (author), Qiu, S. (author), Ma, Liang (author), Zhu, Zhengqiu (author), Wang, Yiping (author), Qiu, Xiaogang (author)
Locating and quantifying the emission source plays a significant role in the emergency management of hazardous gas leak accidents. Due to the lack of a desirable atmospheric dispersion model, current source estimation algorithms cannot meet the requirements of both accuracy and efficiency. In addition, the original optimization algorithm can...
journal article 2018
document
Zhu, Zhengqiu (author), Chen, B. (author), Qiu, S. (author), Wang, Rongxiao (author), Wang, Yiping (author), Ma, Liang (author), Qiu, Xiaogang (author)
The chemical industry is of paramount importance to the world economy and this industrial sector represents a substantial income source for developing countries. However, the chemical plants producing inside an industrial district pose a great threat to the surrounding atmospheric environment and human health. Therefore, designing an...
journal article 2018
document
Wang, Rongxiao (author), Chen, B. (author), Qiu, S. (author), Zhu, Zhengqiu (author), Wang, Yiduo (author), Wang, Yiping (author), Qiu, Xiaogang (author)
Dispersion prediction plays a significant role in the management and emergency response to hazardous gas emissions and accidental leaks. Compared with conventional atmospheric dispersion models, machine leaning (ML) models have both high accuracy and efficiency in terms of prediction, especially in field cases. However, selection of model...
journal article 2018
document
Zhu, Zhengqiu (author), Qiu, S. (author), Chen, Bin (author), Wang, Rongxiao (author), Qiu, Xiaogang (author)
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 parameters and the computational errors. In order...
journal article 2018
document
Zhu, Zhengqiu (author), Chen, B. (author), Qiu, S. (author), Wang, Rongxiao (author), Chen, Feiran (author), Wang, Yiping (author), Qiu, Xiaogang (author)
Chemical production activities in industrial districts pose great threats to the surroundingatmospheric environment and human health. Therefore, developing appropriate and intelligentpollution controlling strategies for the management team to monitor chemical production processesis significantly essential in a chemical industrial district....
journal article 2018
document
Zhu, Zhengqiu (author), Chen, Bin (author), Reniers, G.L.L.M.E. (author), Zhang, L. (author), Qiu, S. (author), Qiu, Xiaogang (author)
The chemical industry is very important for the world economy and this industrial sector represents a substantial income source for developing countries. However, existing regulations on controlling atmospheric pollutants, and the enforcement of these regulations, often are insufficient in such countries. As a result, the deterioration of...
journal article 2017
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Zhang, M. (author), Verbraeck, A. (author), Meng, Rongqing (author), Chen, Bin (author), Qiu, Xiaogang (author)
Spatial contacts among human beings are considered as one of the influential factors during the transmission of contagious diseases, such as influenza and tuberculosis. Therefore, representing and understanding spatial contacts plays an important role in epidemic modeling research. However, most current research only considers regular spatial...
journal article 2016
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