GIS-Based Integration of Subjective and Objective Weighting Methods for Regional Landslides Susceptibility Mapping
GIS-Based Integration of Subjective and Objective Weighting Methods for Regional Landslides Susceptibility Mapping
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DOI：
10.3390/su8040334
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发表时间：
2016-04
期刊：
影响因子：
3.9
通讯作者：
Suhua Zhou;Guang-qi Chen;Ligang Fang;Yunwen Nie
中科院分区：
文献类型：
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作者：
Suhua Zhou;Guang-qi Chen;Ligang Fang;Yunwen Nie
由于快速的城市化进程，滑坡敏感性图的绘制非常重要。本研究的目的是提出一种在地理信息系统（GIS）平台上将主观权重与客观权重相结合的区域滑坡敏感性测绘方法。采用主观的层次分析法（AHP）来衡量预测因素对滑坡发生的贡献。频率比（FR）方法是客观的，用于推导子类相对于滑坡的频率比，表明子类在每个预测因素中的相对重要性。在日本对马岛进行了一项案例研究，使用了 534 起滑坡的历史清单和七个预测因素：海拔、坡度、坡向、地形粗糙度指数 (TRI)、岩性、土地覆盖和年平均降水量 (MAP)。滑坡敏感性指数（LSI）是使用因子权重和子类权重的加权线性组合计算的。根据LSI将研究区划分为5个易感区。此外，将生成的敏感性图与使用传统 FR 和 AHP 方法生成的图进行了比较，并使用相对滑坡指数 (RLI) 进行了验证。验证结果表明，该方法的性能优于传统应用的FR方法和AHP方法。获得的滑坡敏感性图可以为城市规划和滑坡灾害管理提供科学依据。
The development of landslide susceptibility maps is of great importance due to rapid urbanization. The purpose of this study is to present a method to integrate the subjective weight with objective weight for regional landslide susceptibility mapping on the geographical information system (GIS) platform. The analytical hierarchy process (AHP), which is subjective, was employed to weight predictive factors’ contribution to landslide occurrence. The frequency ratio (FR) method, which is objective, was used to derive subclasses’ frequency ratio with respect to landslides that indicate the relative importance of a subclass within each predictive factor. A case study was carried out at Tsushima Island, Japan, using a historical inventory of 534 landslides and seven predictive factors: elevation, slope, aspect, terrain roughness index (TRI), lithology, land cover and mean annual precipitation (MAP). The landslide susceptibility index (LSI) was calculated using the weighted linear combination of factors’ weights and subclasses’ weights. The study area was classified into five susceptibility zones according to the LSI. In addition, the produced susceptibility map was compared with maps generated using the conventional FR and AHP method and validated using the relative landslide index (RLI). The validation result showed that the proposed method performed better than the conventional application of the FR method and AHP method. The obtained landslide susceptibility maps could serve as a scientific basis for urban planning and landslide hazard management.