整合分层最佳-最差方法和地理信息系统来评估山体滑坡易感性:土耳其埃尔祖鲁姆省的一个案例研究
Zekeriya Konurhan1, Melih Yucesan2, Muhammet Gul3
1Department of Geography, Munzur University, Tunceli, Turkey. zkonurhan@munzur.edu.tr.
Environmental science and pollution research international
|October 19, 2023
概括
这项研究引入了一种新的山体滑坡易感模型,将地理信息系统 (GIS) 与分层最佳-最差方法 (S-BWM) 集成在一起. 该模型有效地识别了山区的高风险山体滑坡区域,这对于减缓灾害的努力至关重要.
科学领域:
- 地质科学 地质科学
- 地质危险评估工作.
- 空间分析 空间分析
背景情况:
- 滑坡对人类生命和基础设施构成重大威胁,特别是在山区.
- 有效的山体滑坡风险管理依赖于使用数据驱动方法确定易受影响的地区.
- 现有的方法经常使用地理信息系统 (GIS) 和多标准决策 (MCDM),但需要新的整合.
研究的目的:
- 通过将GIS与分层最佳-最差方法 (S-BWM) 集成,提出和验证一种新的山体滑坡易感性评估模型.
- 根据地形,环境,位置和水文因素分析滑坡易感性.
- 为了证明该模型在易发生山体滑坡的地区的适用性.
主要方法:
- 开发一种新型模型,将GIS与分层最佳-最差方法 (S-BWM) 集成在一起.
- 使用S-BWM对四个主要维度 (地形,环境-土地,位置,水文) 和16个子维度进行权衡.
- 创建维度权重的未来状态网络,将预测的过渡概率纳入BWM.
- 使用基于GIS的计算生成易感性地图和分维分类.
主要成果:
- 该研究发现,山体滑坡在约1600-2500米的高度更频繁.
- 大约42%的研究区域表现出高度的山体滑坡易感性.
- 剩余的58%的面积显示中低地滑坡易感性,提供了详细的空间分布分析.
结论:
- 集成的GIS-S-BWM模型为土地滑坡易感性评估提供了一个强大的框架.
- 这些发现突出了特定的高度范围和高度易感的空间模式,为有针对性的风险降低策略提供了信息.
- 该模型在埃尔苏鲁姆地区的成功应用证明了其在全球其他容易发生山体滑坡的地区的应用潜力.
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