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  Research progress of forest fires spread trend forecasting in Heilongjiang Province

Wang, X., Wang, C., Zhao, G., Ding, H., & Yu, M. (2022). Research progress of forest fires spread trend forecasting in Heilongjiang Province. Atmosphere, 13: 2110. doi:10.3390/atmos13122110.

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atmosphere-13-02110-with-cover.pdf (Publisher version), 541KB
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 Creators:
Wang, Xiaoxue1, Author
Wang, Chengwei1, Author
Zhao, Guangna1, Author
Ding, Hairu2, 3, Author
Yu, Min1, Author
Affiliations:
1external, ou_persistent22              
2Global Circulation and Climate, The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_3001850              
3IMPRS on Earth System Modelling, MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913547              

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 Abstract: In order to further grasp the scientific method of forecasting the spreading trend of forest fires in Heilongjiang Province, which is located in Northeast China, the basic concepts of forest fires, a geographical overview of Heilongjiang Province, and an overview of forest fire forecasting are mainly introduced. The calculation and computer simulation of various forest fire spread models are reviewed, and the selected model for forest fires spread in Heilongjiang Province is mainly summarized. The research shows that the Wang Zhengfei-Mao Xianmin model has higher accuracy and is more suitable for the actual situation of Heilongjiang Province. However, few studies over the past three decades have updated the formula. Therefore, this empirical model is mainly analyzed in this paper. The nonlinear least squares method is used to re-fit the wind speed correction coefficient, which gets closer results to the actual values, and the Wang Zhengfei-Mao Xianmin model is rewritten and evaluated for a more precise formula. In addition, a brief overview of the commonly used Rothermel mathematical-physical model and the improved ellipse mathematical model is given, which provides a basis for the improvement of the forest fires spread model in Heilongjiang Province.

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Language(s): eng - English
 Dates: 2022-12-082022-12-16
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3390/atmos13122110
BibTex Citekey: WangWangEtAl2022
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Title: Atmosphere
Source Genre: Journal
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Publ. Info: Basel, Switzerland : MDPI AG
Pages: - Volume / Issue: 13 Sequence Number: 2110 Start / End Page: - Identifier: ISSN: 2073-4433
CoNE: https://pure.mpg.de/cone/journals/resource/2073-4433