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大型陆地震后滑坡的动态威胁。

The dynamic threat from landslides following large continental earthquakes.

机构信息

Institute of Hazard, Risk, and Resilience and Department of Geography, Durham University, Durham, United Kingdom.

Department of Geography and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, United Kingdom.

出版信息

PLoS One. 2024 Aug 21;19(8):e0308444. doi: 10.1371/journal.pone.0308444. eCollection 2024.

DOI:10.1371/journal.pone.0308444
PMID:39167597
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11338445/
Abstract

Earthquake-triggered landslides show three important characteristics: they are often responsible for a considerable proportion of the damage sustained during mountain region earthquakes, they are non-randomly distributed across space, and they continue to evolve in the years after the earthquake. Despite this, planning for future earthquakes rarely takes into consideration either landslides or their evolution with time. Here we couple a unique timeseries of mapped landslides between 2014-2020 across the area of Nepal impacted by the 2015 Mw 7.8 Gorkha earthquake and a numerical landslide runout model overlain with building locations to examine how the distributions of both evolving landslide hazard and exposure intersect to generate a dynamic threat to buildings. The threat from landslide runout is shown to change in predictable ways after the earthquake, becoming more pronounced at mid- and lower-hillslope positions and remaining in the landscape for multiple years. Using the positions of our mapped landslides as a starting point, we can identify a priori the locations of 78% of buildings that were subsequently impacted by landslide debris. We show that landslide exposure and hazard vary from negligible to high, in relative terms, over lateral distances of as little as 10s of m. Our findings hold important implications for guiding reconstruction and for taking steps to reduce the risks from future earthquakes.

摘要

地震触发的滑坡具有三个重要特征

它们通常是山区地震中造成相当一部分破坏的原因,它们在空间上的分布是非随机的,并且在地震发生后的多年里仍在不断演变。尽管如此,未来地震的规划很少考虑到滑坡或它们随时间的演变。在这里,我们将尼泊尔 2015 年 Mw7.8 戈克哈尔地震影响地区 2014 年至 2020 年期间独特的滑坡时间序列图与叠加建筑物位置的数值滑坡运动模型相结合,研究了演化中的滑坡危险和暴露分布如何相互交叉,从而对建筑物产生动态威胁。结果表明,滑坡运动的威胁在地震后以可预测的方式发生变化,在中坡和下坡位置变得更加明显,并在多年内仍存在于景观中。我们可以利用我们绘制的滑坡位置作为起点,预先确定随后受到滑坡碎屑影响的建筑物位置,这些建筑物占 78%。我们表明,滑坡暴露和危险在相对较小的横向距离(仅数十米)内从微不足道到高风险不等。我们的研究结果对于指导重建和采取措施减少未来地震的风险具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/5347fda834f8/pone.0308444.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/59c95f54bf3a/pone.0308444.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/b874bf4ad37e/pone.0308444.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/9e4c2fc8c495/pone.0308444.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/d2dce6fa08b7/pone.0308444.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/1d61e981a9f6/pone.0308444.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/5347fda834f8/pone.0308444.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/59c95f54bf3a/pone.0308444.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/b874bf4ad37e/pone.0308444.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/9e4c2fc8c495/pone.0308444.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/d2dce6fa08b7/pone.0308444.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/1d61e981a9f6/pone.0308444.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b67/11338445/5347fda834f8/pone.0308444.g006.jpg

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Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques.利用基于地理信息系统的机器学习技术评估滑坡易发性模型中地形变量的尺度效应。
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