Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)

A Rapid Prediction Method for Chemical Clouds Diffusion with Terrain Effects Correction

Authors
Qiang Hu, ChaoLu Ma, Xiaoyong Zhang, HuanLu Cao, Wei Sun, Xiaojia Jiang, Feng Liu
Corresponding Author
Qiang Hu
Available Online April 2017.
DOI
10.2991/icmmct-17.2017.174How to use a DOI?
Keywords
Chemical Clouds; Atmospheric Diffusion; Terrain Effects, Corrected Model; Rapid Prediction
Abstract

A method for correcting analytic model of chemical clouds diffusion is proposed to take terrain effects into account. The calculation results show that the corrected model of clouds diffusion can describe the main diffusion features in complex terrains; furthermore, it has the advantages of rapid calculating and easy programming.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmmct-17.2017.174
ISSN
2352-5401
DOI
10.2991/icmmct-17.2017.174How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qiang Hu
AU  - ChaoLu Ma
AU  - Xiaoyong Zhang
AU  - HuanLu Cao
AU  - Wei Sun
AU  - Xiaojia Jiang
AU  - Feng Liu
PY  - 2017/04
DA  - 2017/04
TI  - A Rapid Prediction Method for Chemical Clouds Diffusion with Terrain Effects Correction
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 863
EP  - 868
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.174
DO  - 10.2991/icmmct-17.2017.174
ID  - Hu2017/04
ER  -