Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot
Erin L. Harvey, Mark Kincey, Nick J. Rosser, Arishma Gadtaula, Ethan Collins, Alexander Logan Densmore, Alexandre Dunant, Katie J. Oven 等 16 位
Durham University Newcastle University National Society for Earthquake Technology Northumbria University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
A review of landslide inventories provides an essential assessment of the state of knowledge around landslide hazard and can guide the focus of future studies. This is especially true in Nepal, which is highly prone to landslides, but lacks a comprehensive overview of landslide occurrence nationally. Here, we compile a database of 117 landslide inventories for Nepal released between 2010 and 2021. We review how these existing inventories shape our understanding of landsliding in Nepal and discuss how future research efforts could mitigate current challenges. We find that 40% of the country was only manually mapped once across the study period, and, crucially, these areas did not always correspond with areas of low landslide susceptibility. Instead, existing landslide inventories typically focus on specific areas, such as the region affected by the 2015 Gorkha Earthquake and major highway corridors. We also extrapolated the individual inventory characteristics from within this unique database to infer a national-scale areal density of 0.05 landslides per km 2 , equating to 6000 landslides across the country. This extrapolated value provides a baseline for future national-scale studies, especially for inventories created through automated mapping approaches. Our review highlights the importance of expanding the footprint of landslide inventories in Nepal to include regions with low mapping coverage and the need for inventories to be openly available, with clear protocols to enable inter-comparison. Whilst our review has focused on Nepal, these findings are likely to be relevant in other landslide-prone countries and our recommendations are intended to be applicable elsewhere.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
物理Landslides and related hazards
Soil erosion and sediment transport · Tree Root and Stability Studies
参考文献 90
此处列出前 3 条
引用本文 10
按被引量排序,此处列出前 3 条