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Landslide susceptibility mapping using logistic regression model (a case study in Badulla District, Sri Lanka)

机译：利用Logistic回归模型的滑坡敏感性映射（Badulla区，斯里兰卡的案例研究）

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摘要

The landslide is a universal term covering a wide variety of mass movements and processes involved in downward movement of masses of rock, earth or debris under the influence of gravity. Landslides are among the natural disasters that are often experienced in Sri Lanka. Approximately 20,000 km2 (30.7%) of the land area of the country is highly susceptible to landslides. With the increasing demand for development and expansion of human settlements, landslides have become a major concern in the mountainous regions of the country. Therefore, identification of landslide potential associated with the terrain is important for ensuring the sustainability of developments while minimizing the possible disasters due to landslides. The study was focused on landslide susceptibility mapping in Badulla District using logistic regression model. Slope, aspect, lithology, land cover, distance from the rivers and roads were selected as the causative factors for the analysis. According to the study, 20.5% area of the district is highly and extremely highly susceptible to the occurrence of landslides, 39.3% area is moderately susceptible to landslide occurrences and 40.2% area is low susceptible to the occurrence of landslides.
机译：滑坡是涵盖了各种各样的群众运动和重力的影响下参与岩石，泥土或碎片群众的向下运动过程中的一个普遍的术语。山体滑坡是经常在斯里兰卡所经历的自然灾害之一。全国土地面积的约20000平方公里（30.7％），很容易受到滑坡。随着发展和人类住区的扩张需求的增加，山体滑坡已成为我国山区主要关注的问题。因此，与地形相关的潜在滑坡的鉴定是确保发展的可持续性，同时最大限度地减少可能发生的灾难因山体滑坡重要。这项研究是集中在滑坡敏感性映射巴杜拉区使用逻辑回归模型。坡度，岩性，土地覆盖，距离从河流和道路被选定为用于分析的致病因素。根据这项研究，该地区20.5％的面积是非常，非常非常容易受到山体滑坡的发生，39.3％的面积为中度容易滑坡发生和40.2％的面积是低发生滑坡的发生。

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