Study on Site Selection of Forest Fire Prevention Video Surveillance Monitoring Points in Qujiang District, Quzhou City

衢州市衢江区森林资源丰富,森林覆盖率达67.45%,但复杂地形与众多敏感区域使森林防火形势严峻。现有监控体系虽覆盖90%重点林区,却存在监控盲区、成本高、敏感区域覆盖不足等问题。本研究基于地理信息系统(GIS)可视域分析,结合衢江区地形地貌、气候特征及现有监测体系,以地理环境适配性、功能需求导向、经济性与可维护性为核心原则,运用GIS可视域分析与多因子加权评估法进行监控点位选址。研究针对不同区域提出优化方案,预计新增20个核心点位可将全区监控覆盖率提升至95%,敏感区域覆盖率达100%,同时降低25%的单点位年均维护成本,为构建“空–地–网”一体化森林防火监测网络提供科学决策依据。Qujiang District, Quzhou City, is rich in forest resources, with a forest coverage rate of 67.45%. However, the complex terrain and numerous sensitive areas pose a severe challenge to forest fire prevention. Although the existing monitoring system covers 90% of key forest areas, issues such as monitoring blind spots, high costs, and insufficient coverage of sensitive areas remain. This study employs visual domain analysis based on Geographic Information System (GIS), integrating the topographic features, climate characteristics of Qujiang District, and the existing monitoring system. Guided by the principles of geographical environment adaptability, functional requirements orientation, and economic maintainability, it applies GIS visual domain analysis and multi-factor weighted evaluation methods for the site selection of monitoring points. The research proposes optimized solutions for different regions. It is estimated that the addition of 20 core monitoring points can increase the district-wide monitoring coverage rate to 95% and the coverage rate of sensitive areas to 100%, while reducing the average annual maintenance cost per monitoring point by 25%. This study provides a scientific basis for constructing an integrated “air-ground-network” forest fire prevention monitoring network.

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Publication Details

Journal
Geographical Science Research
Published
2025-01-01
DOI
https://doi.org/10.12677/gser.2025.143060
Primary Topic
Evaluation Methods in Various Fields
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article
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article

Study on Site Selection of Forest Fire Prevention Video Surveillance Monitoring Points in Qujiang District, Quzhou City

柯楠 顾
Geographical Science Research
Evaluation Methods in Various Fields
article

Study on Site Selection of Forest Fire Prevention Video Surveillance Monitoring Points in Qujiang District, Quzhou City

柯楠 顾
article en

Abstract

衢州市衢江区森林资源丰富,森林覆盖率达67.45%,但复杂地形与众多敏感区域使森林防火形势严峻。现有监控体系虽覆盖90%重点林区,却存在监控盲区、成本高、敏感区域覆盖不足等问题。本研究基于地理信息系统(GIS)可视域分析,结合衢江区地形地貌、气候特征及现有监测体系,以地理环境适配性、功能需求导向、经济性与可维护性为核心原则,运用GIS可视域分析与多因子加权评估法进行监控点位选址。研究针对不同区域提出优化方案,预计新增20个核心点位可将全区监控覆盖率提升至95%,敏感区域覆盖率达100%,同时降低25%的单点位年均维护成本,为构建“空–地–网”一体化森林防火监测网络提供科学决策依据。Qujiang District, Quzhou City, is rich in forest resources, with a forest coverage rate of 67.45%. However, the complex terrain and numerous sensitive areas pose a severe challenge to forest fire prevention. Although the existing monitoring system covers 90% of key forest areas, issues such as monitoring blind spots, high costs, and insufficient coverage of sensitive areas remain. This study employs visual domain analysis based on Geographic Information System (GIS), integrating the topographic features, climate characteristics of Qujiang District, and the existing monitoring system. Guided by the principles of geographical environment adaptability, functional requirements orientation, and economic maintainability, it applies GIS visual domain analysis and multi-factor weighted evaluation methods for the site selection of monitoring points. The research proposes optimized solutions for different regions. It is estimated that the addition of 20 core monitoring points can increase the district-wide monitoring coverage rate to 95% and the coverage rate of sensitive areas to 100%, while reducing the average annual maintenance cost per monitoring point by 25%. This study provides a scientific basis for constructing an integrated “air-ground-network” forest fire prevention monitoring network.

Geographical Science ResearchVol. 14(03)
Sustainable cities and communities
Openalex Percentile: Top 92%
Evaluation Methods in Various Fields
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Study on Site Selection of Forest Fire Prevention Video Surveillance Monitoring Points in Qujiang District, Quzhou City — 柯楠 顾 · Geographical Science Research (2025) | TGRS Research Map | TGRS