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Implications of landslide inventory in susceptibility modeling along a Himalayan highway corridor, India
Physical Geography ( IF 1.6 ) Pub Date : 2021-01-10
Vijendra Kumar Pandey, Arun Kumar Tripathi, Kaushal Kumar Sharma

ABSTRACT

Landslide susceptibility is a dynamic phenomenon; it changes with slope intrinsic and transient factors. The study aims to evaluate the changes in the landslides, their size, location, and up to some extent, gradual stabilization impacts on susceptibility assessment. The majority of the models, which are developed to analyze landslide susceptibility, use landslide inventory as a dependent variable to compute the predictors’ significance. Therefore, a slight change in the landslide dataset nullifies the susceptibility zones. Thus, the landslide susceptibility maps become irrelevant to mitigate slope failures. In the present study, we have used two reference period landslide dataset to execute the landslide susceptibility analysis using the frequency ratio method. The model result was validated with a landslide test dataset using the area under the curve (AUC) method. The AUC value is 0.89 and 0.91 for 2013 and 2019, respectively. The study finds that annual updating of landslide inventory is essential for susceptibility modeling for assessment of associated risks and implications of mitigation measures along the highway corridor.



中文翻译:

印度喜马拉雅公路沿线敏感性模型中滑坡清单的意义

摘要

滑坡敏感性是一种动态现象;它随斜率固有和瞬态因素而变化。该研究旨在评估滑坡的变化,其大小,位置,以及在一定程度上逐步稳定对敏感性评估的影响。开发用于分析滑坡敏感性的大多数模型都使用滑坡清单作为因变量来计算预测变量的重要性。因此,滑坡数据集的微小变化使敏感性区无效。因此,滑坡敏感性图与减轻边坡破坏无关。在本研究中,我们使用了两个参考周期滑坡数据集,以频率比方法执行滑坡敏感性分析。使用曲线下面积(AUC)方法,使用滑坡测试数据集验证了模型结果。2013年和2019年的AUC值分别为0.89和0.91。研究发现,滑坡清单的年度更新对于敏感性模型的评估是至关重要的,敏感性模型用于评估相关风险和公路沿线缓解措施的含义。

更新日期:2021-01-11
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