Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Predicting the Occurrence of Forest Fire in the Central-South Region of China

Version 1 : Received: 3 March 2024 / Approved: 3 March 2024 / Online: 4 March 2024 (09:57:46 CET)

A peer-reviewed article of this Preprint also exists.

Hai, Q.; Han, X.; Vandansambuu, B.; Bao, Y.; Gantumur, B.; Bayarsaikhan, S.; Chantsal, N.; Sun, H. Predicting the Occurrence of Forest Fire in the Central-South Region of China. Forests 2024, 15, 844, doi:10.3390/f15050844. Hai, Q.; Han, X.; Vandansambuu, B.; Bao, Y.; Gantumur, B.; Bayarsaikhan, S.; Chantsal, N.; Sun, H. Predicting the Occurrence of Forest Fire in the Central-South Region of China. Forests 2024, 15, 844, doi:10.3390/f15050844.

Abstract

Grasping the spatial and temporal patterns of forest fires, along with the key factors that drive them and the ability to forecast such events accurately, is essential for the successful management of forests. In China's southern region, forest fires significantly endanger the ecological system, public safety, and economic well-being. Through the application of Geographic Information Systems (GIS) and LightGBM (Light Gradient Boosting Machine) model, this study investigates the determinants of fire incidents and formulates a predictive model for forest fire occurrences, alongside a zoning strategy, within the Central-South area. The results indicate: (i) Spatially, fire points exhibit significant clustering and autocorrelation characteristics; (ii) The Central-South Forest Fire Prediction Model shows exceptional accuracy, reliability, and predictive power, with high performance metrics across training and validation sets, including over 85% accuracy, precision, recall, and F1 scores, along with AUC values above 89%, underscoring its efficacy in forecasting forest fires and distinguishing between fire events; (iii) Throughout the year, forest fire risks in the Central-South region of China vary by region and season, with risk spikes from March to May in Guangdong, Guangxi, Hunan, Hubei, and Hainan. From June to August, localized risks are observed in Heyuan and Huangshi, while from September to November, an increase in risk is noted in Guangdong (Meizhou, Heyuan, Shaoguan), Guangxi (Nanning, Hezhou, Yulin), and Hunan (Binzhou, Yongzhou, Hengyang) due to cooler, drier conditions and leaf litter accumulation. From December to February, the risk continues in specific areas across Guangdong, Guangxi, Hunan, and Hubei.

Keywords

wildfire risk assessment; Central-South China; GIS application; predictive modeling; fire occurrence analytics; seasonal fire patterns; spatial clustering analysis

Subject

Environmental and Earth Sciences, Environmental Science

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.