A Review of Recent Advances in Lightning Fire Prediction

Yuxian Peng; Xiaorui Tian; Siwei Li; Liqing Si; Mingyu Wang

doi:10.12356/j.2096-8884.2024-0015

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Yuxian Peng, Xiaorui Tian, Siwei Li, Liqing Si, Mingyu Wang. A Review of Recent Advances in Lightning Fire Prediction[J]. Terrestrial Ecosystem and Conservation. doi: 10.12356/j.2096-8884.2024-0015

Citation:

Yuxian Peng, Xiaorui Tian, Siwei Li, Liqing Si, Mingyu Wang. A Review of Recent Advances in Lightning Fire Prediction[J]. Terrestrial Ecosystem and Conservation. doi: 10.12356/j.2096-8884.2024-0015

Yuxian Peng, Xiaorui Tian, Siwei Li, Liqing Si, Mingyu Wang. A Review of Recent Advances in Lightning Fire Prediction[J]. Terrestrial Ecosystem and Conservation. doi: 10.12356/j.2096-8884.2024-0015

Citation:

Yuxian Peng, Xiaorui Tian, Siwei Li, Liqing Si, Mingyu Wang. A Review of Recent Advances in Lightning Fire Prediction[J]. Terrestrial Ecosystem and Conservation. doi: 10.12356/j.2096-8884.2024-0015

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A Review of Recent Advances in Lightning Fire Prediction

doi: 10.12356/j.2096-8884.2024-0015

Ecology and Nature Conservation Institute, Chinese Academy of Forestry, National Forestry and Grassland Fire Monitoring, Early Warning and Prevention Engineering Technology Research Center, Beijing 100091, China

Received Date: 2024-03-01
Accepted Date: 2024-04-30

Abstract

Abstract

Lightning fires are the most common natural fires, which is the main cause for burned areas on global vegetation. The lightning fire occurrence is influenced by various factors, so it is difficult to predict accurately. Its prediction has been gradually applied in wildfire management with the improvement of lightning monitoring capabilities. Statistical regression model and machine learning methods are popularly used in lightning fire prediction, including logical regression, random forest, generalized linear, etc. This paper summarized recent research advances from three aspects, such as drivers, lightning characteristics, and prediction methods, and elaborates on the driving factors and forecasting models. The future researches were proposed incorporating with the current problems in lightning fire prediction. It is necessary to develop prediction models to satisfy various management needs according to fuel characteristics and lightning fire occurrences in different ecological zones, so as to improve the prediction ability of lightning fire occurrence.
- lightning fire,
- drivers,
- prediction model,
- lightning characteristics

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References(57)

References

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