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首页> 外文期刊>Journal of earth system science >Landslide susceptibility zonation in part of Tehri reservoir region using frequency ratio, fuzzy logic and GIS
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Landslide susceptibility zonation in part of Tehri reservoir region using frequency ratio, fuzzy logic and GIS

机译：基于频率比，模糊逻辑和GIS的特里水库一部分地区滑坡敏感性区划

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摘要

A comprehensive study for the identification of landslide susceptible zones using landslide frequency ratio and fuzzy logic in GIS environment is presented for Tehri reservoir rim region (Uttarakhand, India). Temporal remote sensing data was used to prepare important landslide causative factor layers and landslide inventory. Primary and secondary topographic attributes namely slope, aspect, relative relief, profile curvature, topographic wetness index, and stream power index, were derived from digital elevation model. Landslide frequency ratio technique was adopted to correlate factors with landslides. Further, fuzzy logic method was applied for the integration of factors (causative factor) to map landslide susceptible zones. Normalized landslide frequency ratio value was used for the fuzzy membership function and different fuzzy operators were considered for the preparation of landslide susceptibility/hazard index map. The factors considered in this study were found to be carrying a wide range of information. Accordingly, a methodology was evolved to integrate the factors using combined fuzzy gamma and fuzzy OR operation. Fuzzy gamma integration was performed for six different gamma values (range: 0a€“1). Gamma value of 0.95 was selected for the preparation of final susceptibility map. Landslide susceptibility index map was divided into the following five hazard zones a€“ very low, low, moderate, high, and very high a€“ on the basis of natural break classification. Validation of the model was performed by using cumulative percentage curve technique. Area under curve value of cumulative percentage curve of proposed landslide susceptibility map (gamma = 0.95) was found to be 0.834 and it can be said that 83.4% accuracy was achieved by applying combined fuzzy logic and landslide frequency ratio method.
机译：提出了在Tehri水库边缘地区（印度北阿坎德邦）使用GIS环境中的滑坡频率比和模糊逻辑识别滑坡敏感区的综合研究。时间遥感数据被用来准备重要的滑坡成因因子层和滑坡清单。从数字高程模型中得出了主要和次要的地形属性，即坡度，纵横比，相对起伏，剖面曲率，地形湿度指数和水流功率指数。采用滑坡频率比技术将因素与滑坡联系起来。此外，应用模糊逻辑方法对因子（致病因子）进行积分，以绘制滑坡易感区。将归一化的滑坡频率比值用于模糊隶属度函数，并考虑使用不同的模糊算子来编制滑坡易感性/危害指数图。发现这项研究中考虑的因素具有广泛的信息。因此，使用组合的模糊伽马和模糊或运算，发展了一种方法来整合因素。对六个不同的伽玛值（范围：0a-1）执行了模糊伽玛积分。选择伽玛值为0.95来制备最终磁化率图。根据自然破坏分类，将滑坡敏感性指数图分为以下五个危险区域：“极低，低，中，高和极高”。通过使用累积百分比曲线技术进行模型验证。所建议的滑坡敏感性图的累积百分比曲线的曲线值下的曲线面积（gamma = 0.95）为0.834，可以说，通过应用模糊逻辑和滑坡频率比方法，可以达到83.4％的精度。

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