Chen Liangchao

Dr. Chen Liangchao

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2022 in Energy
Verified
Journal Article
Closed access
YHYongming Han
Yongming Han
XLXiaoyi Lou
Xiaoyi Lou
MFMingfei Feng
Mingfei Feng
Zhiqiang GengZhiqiang Geng
Zhiqiang Geng
CLChen Liangchao
Chen Liangchao
GLGang Lu
Gang Lu

10 September 2022 in Journal of Loss Prevention in the Process Industries
Verified
Journal Article
Closed access
JYJianfeng Yang
Jianfeng Yang
SXShenqing Xuan
Shenqing Xuan
YHYuanhao Hu
Yuanhao Hu
XLXinyong Liu
Xinyong Liu
MBMingcheng Bian
Mingcheng Bian
ZDZhan Dou
Zhan Dou

22 September 2022 in Energy
Verified
Journal Article
Closed access
JLJintao Liu
Jintao Liu
CLChen Liangchao
Chen Liangchao
WXWei Xu
Wei Xu
MFMingfei Feng
Mingfei Feng
Yongming HanYongming Han
Yongming Han
ZGZhiqiang Geng
Zhiqiang Geng

1 January 2022 in Emergency Management Science and Technology
Verified
Journal Article
Open access
PDF file
ZDZhan Dou
Zhan Dou
ZLZhe Liu
Zhe Liu
LLLili Li
Lili Li
HZHang Zhou
Hang Zhou
QWQianlin Wang
Qianlin Wang
CLChen Liangchao
Chen Liangchao
Modern industrial development is accompanied by the increasingly frequent occurrence of accidental release atmospheric dispersion events, causing extremely serious human and property losses and environmental pollution, in which rapid and accurate prediction of atmospheric dispersion is an important task to mitigate the unexpected consequences. In this paper, we take the case of previous years as the starting point, firstly, the occurred hazardous chemical atmospheric dispersion accidents in the past five years are shown, and the related concepts of hazardous chemical atmospheric dispersion are given. Then, the current state of atmospheric dispersion research is reviewed, well-known experiments on atmospheric dispersion of hazardous chemicals are summarized, and correspondingly the existing atmospheric dispersion prediction models are classified into simplified-experience models, mechanism- and rule-driven models and data-driven models. In particular, for the purpose of rapid atmospheric dispersion prediction, some research on atmospheric detection and identification are analyzed in detail. Moreover, the relevant professional software for atmospheric dispersion prediction are introduced, and also their calculation adaptabilities regarding time-consumption and output accuracy are discussed. Thereinafter, according to the shortcomings of existing atmospheric dispersion prediction models in research and application fields, the development trend of atmospheric dispersion prediction research and technology is foreseen, and some feasible future research directions are proposed as follows: (1) the fusion of image processing techniques, the establishment of a database of historical accident scene information and meteorological information, (2) new correction algorithms, and (3) an emergency response system for full-scene atmospheric dispersion prediction.

29 July 2023 in Energy
Verified
Journal Article
Closed access
JYJianfeng Yang
Jianfeng Yang
BZBo Zhang
Bo Zhang
CLChen Liangchao
Chen Liangchao
XDXu Diao
Xu Diao
YHYuanhao Hu
Yuanhao Hu
ZDZhan Dou
Zhan Dou

29 September 2022 in Energy
Verified
Journal Article
Closed access
JYJianfeng Yang
Jianfeng Yang
GSGuanyu Suo
Guanyu Suo
CLChen Liangchao
Chen Liangchao
ZDZhan Dou
Zhan Dou
YHYuanhao Hu
Yuanhao Hu