极端气候背景下森林火灾风险预警模型构建及防控技术优化

Construction of Forest Fire Risk Early Warning Models and Optimization of Prevention and control Technologies under Extreme climate conditions

摘要

全球气候变暖导致高温、干旱、强风等极端天气事件频发，显著加剧了森林火灾的发生频率、强度及蔓延速度，对生态系统安全、生物多样性保护和人类生存环境构成严重威胁。本文基于极端气候对森林火灾的驱动机制，系统分析了预警模型构建的核心要素与技术路径，提出了涵盖气象、植被、地形、人为因素的多维度指标体系，重点探讨了深度学习等智能化模型在风险预警中的应用；同时结合重庆等地现代化防控实践，从监测预警、阻隔防控、应急处置、科技支撑四个维度提出防控技术优化策略，为极端气候背景下森林火灾精准防控提供理论支撑与实践参考。

Abstract

Global warming has led to frequent extreme weather events such as high temperatures, droughts, and strong winds, significantly increasing the frequency, intensity, and spread speed of forest fires, posing a serious threat to ecosystem security, biodiversity conservation, and the human living environment. Based on the driving mechanism of extreme climate on forest fires, this paper systematically analyzes the core elements and technical paths for the construction of early warning models, proposes a multi-dimensional index system covering meteorology, vegetation, terrain, and human factors, and focuses on discussing the application of intelligent models such as deep learning in risk early warning. At the same time, in combination with the modern prevention and control practices in Chongqing and other places, optimization strategies for prevention and control technologies are proposed from four dimensions: monitoring and early warning, barrier prevention and control, emergency response, and technological support, providing theoretical support and practical reference for precise prevention and control of forest fires under extreme climate conditions.

关键词

极端气候 / 森林火灾 / 风险预警模型 / 防控技术 / 智能化优化

Key words

Extreme climate / forest fire / Risk warning model / Prevention and control technology / Intelligent optimization

参考文献

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