Issue |
E3S Web Conf.
Volume 394, 2023
6th International Symposium on Resource Exploration and Environmental Science (REES 2023)
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Article Number | 01030 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/e3sconf/202339401030 | |
Published online | 02 June 2023 |
Dynamic Response of Shrubbery Fire to Meteorological Changes in Yunnan Province
School of Civil Engineering, Southwest Forestry University, 650224, Kunming, China
* Corresponding author: winalite@swfu.edu.cn
This paper takes shrubland fires as the research object and selects typical shrubland forest fire cases that occurred throughout Yunnan Province from 1954 to 2018 as the research samples, and the shrubland fire loss elements and meteorological data are studied by SPSS correlation analysis and MATLAB gray prediction model to analyze shrubland fires and meteorological elements. The results showed that there were significant correlations between shrubland fires and meteorological data; the shrubland fire over fire area, forest damage area, and economic loss composite data index showed positive correlations with annual maximum temperature, annual average minimum temperature, annual average temperature, and annual sunshine hours; the annual average relative humidity, precipitation days, and the composite index of the same day meteorological data showed significant negative correlations, etc. In exploring the main meteorological factors affecting the distribution of forest fires, we establish a meteorological fire model to provide a real and credible scientific basis and theoretical foundation for future forest fire prevention and prediction.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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