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首页> 外文会议>Asian conference on remote sensing;ACRS >A MULTI-CRITERION APPROACH FOR LANDSLIDE SUSCEPTIBILITY MAPPING USING ANALYTICAL HIERARCHY PROCESS: A CASE STUDY IN MANIPUR, INDIA
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A MULTI-CRITERION APPROACH FOR LANDSLIDE SUSCEPTIBILITY MAPPING USING ANALYTICAL HIERARCHY PROCESS: A CASE STUDY IN MANIPUR, INDIA

机译：运用层次分析法建立滑坡敏感性的多准则方法：以印度曼尼普尔为例

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摘要

Landslides are one of the major natural hazards accounting each year for enormous economic loss and loss of life. The probability of landslides is highest along mountain roads that causes hurdles in traffics and also cause congestion. A landslide susceptibility map presents areas with the potential of landslides in the future by combining factors that contributed to the occurrences of past landslides. The aim of this study is to evaluate the susceptibility of landslide along a highway passing through Noney area, Manipur, India with respect to identified factors that influence the occurrence of landslides such as slope, land use land cover (LULC), Normalized Difference Vegetation Index (NDVI), Normalized Difference Mid Red (NDMIDR) index, Normalized Difference Mid Infra-red (NDMIDIR) index and Geology. Geographical Information System (GIS) based Analytical Hierarchy Process (AHP) is adopted for the landslide susceptibility mapping of the region. A landslide inventory of 43 landslides was created using past landslide records collected from field investigations. Analyzing the past landslides record and influencing factors, the importance of each parameters were determined and weightage were assigned based on AHP for generating the susceptibility zone map. The landslide susceptibility map was compared with the landslide occurrence locations as an approach to check the accuracy of the model output. The overlay of the known landslide locations with the susceptibility map revealed that the output maps are in good agreement with the landslide locations as 48.83% of the landslide locations fall under the very high susceptible zone; 27.91% and 23.25% falls under high and moderate susceptible zones respectively.
机译：滑坡是每年造成重大经济损失和生命损失的主要自然灾害之一。沿着山路发生山体滑坡的可能性最高，这会造成交通障碍，并造成交通拥堵。滑坡敏感性图通过结合造成过去滑坡发生的因素，向未来展示了具有滑坡潜力的地区。这项研究的目的是针对已确定的影响滑坡发生的因素（例如坡度，土地利用土地覆盖率（LULC），归一化植被指数），评估通过印度曼尼普尔市Noney地区的公路沿线的滑坡敏感性。 （NDVI），归一化中间红度（NDMIDR）索引，归一化中间红度（NDMIDIR）索引和地质。该区域的滑坡敏感性图采用了基于地理信息系统（GIS）的层次分析法（AHP）。使用从野外调查中收集的过去滑坡记录，创建了一个包含43个滑坡的滑坡清单。通过分析过去的滑坡记录和影响因素，确定了每个参数的重要性，并根据层次分析法确定了权重，以生成敏感区图。将滑坡敏感性图与滑坡发生位置进行比较，以检查模型输出的准确性。磁化率图覆盖了已知的滑坡位置，显示出的输出图与滑坡位置非常吻合，因为48.83％的滑坡位置都位于非常高的易感区之下。 27.91％和23.25％分别属于高敏感区和中敏感区。

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