Prediction and early Warning of Lightning-induced fire in Dead Standing Trees based on Geovisualisation Analysis: A case Study of Bozhou, Xinjiang, China
Year: 2025
Type: article
Abstract: With the intensification of global climate change, the frequency and intensity of forest wildfires continue to rise, posing one of the most significant challenges to the global environment.Current wildfire research primarily focuses on pre-disaster integrated air-ground early warning systems, real-time fire monitoring and command during disasters, and post-disaster damage assessment and ecological restoration.However, in specific localized regions such as the Bozhou Natural Forest Area in Xinjiang, China, Lightning-induced fires in dead standing trees-a major natural fire typeexhibit distinct mechanisms that differ significantly from other wildfires.Lightning strikes are identified as the primary trigger for such fires, highlighting the critical importance of predictive and preventive research on lightning-induced wildfires.By integrating lightning monitoring with surveys of dead standing tree combustibles and other technical approaches, combined with visual analysis, effective early warning, prediction, and prevention of lightning-induced fires can be achieved.
Source: Abstracts of the ICA
Author: Xia Li
Institution: Chang'an University
Language: English
Topic: Fire effects on ecosystems
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDGs: Life on land, Climate action
Open Access status: diamond
OpenAlex ID: W7114991007
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