Landslide susceptibility zonation of a hilly region: A quantitative approach

Janaki Ballav Swain , Ningthoujam James Singh , Lovi Raj Gupta
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Abstract

Categorization of landslide susceptibility holds great significance in hilly regions as it is one of the regularly occurring natural hazards that brings massive devastation to life as well as property. Detection of such landslide susceptible areas is regarded as a useful input for policymakers who plan various developmental activities in those areas. The present study considers Pabbar Catchment, located in the state of Himachal Pradesh, India as the study area and prepares a Landslide Susceptibility Map (LSM) for it using the Frequency Ratio (FR) technique. Eleven geo-morphological aspects of the catchment called ‘causative factors’ were used in thematic form for building the LSM. Being a quantitative method, FR functioned satisfactorily as the prediction accuracy came out as 0.825 in the Area Under Curve (AUC) of the Receiver Operation Characteristics (ROC) process. Approximately 7.48% of the geographical area from the catchment falls under the ‘very high’ landslide susceptible zone, 37.31% under the ‘high’ category, whereas 35.34% of the area comes under the ‘moderate’ susceptible zone. The results shall be advantageous for similar kinds of investigations as well as for planning and development authorities.

丘陵地区的滑坡易发区划:定量方法
山体滑坡是经常发生的自然灾害之一,会对生命和财产造成巨大破坏,因此对山体滑坡易发区进行分类具有重要意义。对于规划这些地区各种开发活动的政策制定者来说,检测这些易受滑坡影响的地区是非常有用的。本研究以位于印度喜马偕尔邦的帕巴流域为研究区域,采用频率比(FR)技术绘制了滑坡易发区地图(LSM)。集水区的 11 个地貌方面被称为 "致灾因素",以专题形式用于绘制 LSM。作为一种定量方法,频率比的功能令人满意,在接收器运行特征(ROC)过程的曲线下面积(AUC)中,预测精度达到 0.825。集水区约有 7.48% 的面积属于 "极高 "滑坡易发区,37.31% 的面积属于 "高 "易发区,而 35.34% 的面积属于 "中等 "易发区。这些结果对类似的调查以及规划和开发部门都很有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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