Landslide susceptibility assessment along the National Highway-244 from Batote to Doda, J & K, India: A study based on the Frequency Ratio Method

Yudhbir Singh, Muzamil Liaqat, Shifali Chib, Bashir Ahmad Lone, S. Johar, Arvind Bhutiyal
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Abstract

The National Highway-244 is highly susceptible to landslide occurrences, frequently resulting in road blockades and causing significant hardships for the local population. These landslides pose a threat to human lives, property and the environment, leading to substantial losses. In this study, an attempt has been made to carry out landslide susceptibility assessment through frequency ratio method along the National Highway-244 utilizing GIS and statistical computations. It considers eight parameters, which include topographical (slope, slope aspect, slope curvature, hill shade, and relief), anthropogenic (distance to road and distance to river) and geological parameters that mostly influence the occurrence of landslides in the area under investigation. The present study focuses only along National Highway-244 and data has been gathered from field visits and secondary sources. The results of the study inferred that the area under investigation falls into different susceptibility zones, namely very high, high, moderate, low, and very low, covering approximately 15%, 31%, 27%, 19%, and 8%, respectively of the total area. This study reveals that a considerable proportion, around 73%, of the study area falls within very high to moderate susceptibility zones. The conclusions drawn from this study hold significant implications for stakeholders and also provide valuable insights for future planning and infrastructure development, enabling them to make informed decisions. By considering the susceptibility zones identified in this study, stakeholders can implement appropriate measures to mitigate the impact of landslides, ensuring the safety and stability of the region.
印度 J & K 省 Batote 至 Doda 的 244 号国道沿线的滑坡易发性评估:基于频率比法的研究
244 号国道极易发生山体滑坡,经常造成道路阻塞,给当地居民带来极大困难。这些山体滑坡对人的生命、财产和环境构成威胁,导致重大损失。本研究尝试利用地理信息系统和统计计算,通过频率比方法对 244 国道沿线进行滑坡易发性评估。它考虑了八个参数,包括地形参数(坡度、坡面、坡度弯曲度、山体阴影和地形起伏)、人为参数(与公路的距离和与河流的距离)和地质参数,这些参数对调查区域内滑坡的发生有很大影响。本研究仅侧重于 244 国道沿线,数据来自实地考察和二手资料。研究结果推断,调查区域属于不同的易发区,即非常高、高、中等、低和非常低,分别约占总面积的 15%、31%、27%、19% 和 8%。这项研究显示,研究区域的很大一部分(约 73%)属于极高至中等易受影响区。本研究得出的结论对利益相关者具有重要意义,也为未来规划和基础设施发展提供了宝贵的见解,使他们能够做出明智的决策。通过考虑本研究确定的易发区,利益相关者可以实施适当的措施来减轻山体滑坡的影响,确保该地区的安全和稳定。
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