在GIS环境下，基于主客观综合权重模型编制贵州省滑坡灾害敏感性区划图。选择历史滑坡分布、坡向、至水系距离、地形地貌、高程、岩性、至构造线距离和年平均降雨量作为引发滑坡的致灾因子，应用TFNW(梯形模糊数加权)方法计算二级指标的主观权重。根据历史滑坡的密度，以信息熵权理论计算一级指标的客观权重。最后，应用WLC(权重线性组合)方法，基于GIS平台编制贵州省滑坡灾害敏感性区划图。根据敏感性指标分布，将贵州省划分为4个区域：低危险区、中等危险区、高危险区和极高危险区。结合历史滑坡分布图对分区结果进行统计分析，结果表明滑坡敏感性预测区划图和实际的滑坡发育情况基本吻合，说明TFNW和信息熵理论是有效的滑坡致灾因子赋权方法。%The purpose of this study is to present a weighting method, integrating of subjective weights with objective weights, for landslide susceptibility mapping based on GIS. Firstly, landslide inventory, aspect, proximity to drainage line, topography, elevation, lithology, proximity to structural line and annual precipitation, were taken as independent causal factors. Secondly, trapezoidal fuzzy number weighting (TFNW) approach was used to assess the effect of each subclass of each causal factor. Thirdly, entropy-based weighting method was used to calculate objective weights of causal factors according to the landslide density for each parameter class. Finally, the landslide susceptibility map of Guizhou Province in China, as an example, was created using weighted linear combination (WLC) model based on geographical information system (GIS). According to the susceptibility index, the study area was classified into four categories of landslide susceptibility: low, moderate, high and very high. The results of the analysis were verified using the landslide inventory map. The validation results show satisfactory agreement between the landslide susceptibility map and the existing data on landslide locations, demonstrating that the TFNW and entropy methods are efficient tools for weighting landslide causal factors.
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