Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)

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Forest Fire Fisk Analysis in China in the Context of Climate Change Based on Data Visualization

Authors
Yundan Xiao1, Fan Li1, Quanying Cheng2, Li Guan3, *, Pengfei Feng4, *
1Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China
2China Fire and Rescue Institute, Beijing, 102202, China
3Faculty of Sciences, Beijing University of Technology, Beijing, 100124, China
4Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing, 100091, China
*Corresponding author. Email: guanli@bjut.edu.cn
*Corresponding author. Email: fpf@caf.ac.cn
Corresponding Authors
Li Guan, Pengfei Feng
Available Online 28 February 2025.
DOI
10.2991/978-94-6463-656-7_7How to use a DOI?
Keywords
Climate change; Forest fires; Statistical analysis methods
Abstract

In recent years, due to the abundant forest resources in China, the frequency of forest fires has increased as a result of climatic influences. According to data from the “China Forestry Statistical Yearbook,” from 2010 to 2019, the total area affected by forest fires in China reached 485,000 hectares, with the area of damaged forests amounting to approximately 190,000 hectares. A substantial amount of vegetation was destroyed, dealing a significant blow to the sustainable development of China’s forestry. This paper employs visual statistical analysis methods to examine the characteristics of forest fire occurrence in China using data from 2005 to 2020, exploring the impact of climate change on forest fires in China, thereby providing a scientific basis for China’s forest fire prevention efforts.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
28 February 2025
ISBN
978-94-6463-656-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-656-7_7How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yundan Xiao
AU  - Fan Li
AU  - Quanying Cheng
AU  - Li Guan
AU  - Pengfei Feng
PY  - 2025
DA  - 2025/02/28
TI  - Forest Fire Fisk Analysis in China in the Context of Climate Change Based on Data Visualization
BT  - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
PB  - Atlantis Press
SP  - 58
EP  - 70
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-656-7_7
DO  - 10.2991/978-94-6463-656-7_7
ID  - Xiao2025
ER  -