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Updated: Jun 29, 2025

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Watershed Planning within a Quantitative Scenario Analysis Framework
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基于模糊逻辑和分析网络流程的森林火灾风险区分
Yi-Yun Ouyang1,2, Zhang-Wen Su1,3, Chun-Hui Li1,2
1College of Forestry, Fujian Agricultural and Forestry University, Fuzhou 350002, China.
Ying yong sheng tai xue bao = The journal of applied ecology
|March 24, 2024
概括
制定准确的森林火灾风险地图对于有效的预防和资源分配至关重要. 这项研究引入了一种新的多标准决策分析 (MCDA) 方法,在确定高风险区域时达到85.8%的准确性.
科学领域:
- 环境科学 环境科学
- 林业林业 林业 林业 林业
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 森林火灾对人类生命,财产和生态系统构成重大威胁.
- 高质量的森林火灾风险地图对于预防,资源分配和决策至关重要.
研究的目的:
- 开发和验证一种新的多标准决策分析 (MCDA) 方法,用于小规模森林火灾风险映射.
- 评估和绘制福建省Youxi县森林火灾风险.
主要方法:
- 使用多标准决策分析 (MCDA) 方法整合地理信息系统 (GIS).
- 使用分析网络流程 (ANP) 进行因素重要性分析和权重分配.
- 应用模糊逻辑评估用于标准以下重量评估和ArcGIS用于地图生成.
- 使用卫星火点验证生成的风险地图.
主要成果:
- 确定了影响县森林火灾发生的关键因素.
- 创建了一个森林火灾风险地图,显示中部和北部地区的严重风险.
- 模糊的ANP模型在风险评估中达到85.8%的高精度.
- 该县相当一部分地区被归类为4级或更高的火灾危险级别.
结论:
- 新的MCDA方法有效地提高了小规模森林火灾风险绘制的准确性.
- 这些发现为早期火灾预警系统和消防资源的战略分配提供了基础.
- 该研究强调了县特定地区的严重火灾风险,需要有针对性的管理策略.
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