Impact of geofactors on landslide susceptibility using weighted overlay method: An integrated GIS and field-based analysis on NH-07, Chamoli, Uttarakhand

Haritabh Rana, Tahir Mushtaq, Ranjith Anburaj
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Abstract

The Himalayan Belt is notably at risk for landslide occurrences, which are directly related to the region's development and economic well-being. The study area encompasses Tangni to Vishnuprayag road sector, National Highway-07 (NH-07) in Chamoli district of Uttarakhand. The primary objective of this study is to identify the zones susceptible to landslides within the region, thereby contributing to the reduction of landslide disaster risks. Knowledge driven weighted overlay method (WOM) integrating GIS and field based multiple geofactor maps has been used where each thematic map was given a rating and weighting process utilizing a heuristic approach which facilitated the generation of a landslide susceptibility map, separately for the rock and debris domain of the region. Seventy-three landslides along the road corridor and its surrounding areas, establishing a correlation between their spatial distribution and various geotechnical parameters have been considered for this study. The resulting susceptibility map documenting 73 nos. of landslide incidences in the study area indicates that low susceptibility zone accounts for 49 % of the area accomodating 8 % (06 nos.) of the total landslide incidences. The moderate susceptibility zone accounts for 30 % of the area but has 19 % (14 nos.) of the total landslide incidences and the high susceptibility zone accounts for 21 % of the area but has 73 % (53 nos.) of the total landslide incidences. Validation of the susceptibility map was conducted against historical landslide data and field observations, which confirmed its reliability. This integrated approach of WOM serves as a significant resource for land-use planning and disaster risk reduction in landslide-prone areas of the Himalayas. Furthermore, it illustrates the efficacy of the WOM for mapping landslide susceptibility, providing a replicable framework for similar terrains both within the Himalayas and in other regions.

Abstract Image

基于加权叠加法的地质因素对滑坡易感性的影响:Uttarakhand Chamoli NH-07综合GIS与实地分析
喜马拉雅地区尤其容易发生滑坡,这直接关系到该地区的发展和经济福祉。研究区域包括北阿坎德邦查莫利地区的07国道(NH-07)唐尼至Vishnuprayag公路段。本研究的主要目的是确定区域内易发生滑坡的区域,从而有助于减少滑坡灾害风险。知识驱动加权叠加法(WOM)集成了GIS和基于现场的多地理因子地图,其中每个专题地图都使用启发式方法进行评级和加权过程,从而促进了滑坡易感性图的生成,分别针对该地区的岩石和碎屑域。以道路廊道及其周边地区73个滑坡为研究对象,建立其空间分布与各种岩土参数的相关性。研究区73次滑坡发生率的易感性图表明,低易感性区占整个滑坡发生率的49%,占滑坡总发生率的8%(06次)。中等易感性区占全区面积的30%,但滑坡总发生率为19%(14例);高易感性区占全区面积的21%,但滑坡总发生率为73%(53例)。利用历史滑坡资料和现场观测资料对敏感性图进行了验证,证实了敏感性图的可靠性。WOM的这种综合方法是喜马拉雅地区滑坡易发地区土地使用规划和减少灾害风险的重要资源。此外,它还说明了WOM在绘制滑坡易感性地图方面的有效性,为喜马拉雅山和其他地区的类似地形提供了一个可复制的框架。
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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