Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020GL090848 |
Landslide Geometry Reveals its Trigger | |
Kamal Rana; Ugur Ozturk; Nishant Malik | |
2021-01-14 | |
发表期刊 | Geophysical Research Letters |
出版年 | 2021 |
英文摘要 | Electronic databases of landslides seldom include the triggering mechanisms, rendering these inventories unusable for landslide hazard modeling. We present a method for classifying the triggering mechanisms of landslides in existing inventories, thus, allowing these inventories to aid in landslide hazard modeling corresponding to the correct event chain. Our method uses various geometric characteristics of landslides as the feature space for the machine learning classifier random forest, resulting in accurate and robust classifications of landslide triggers. We applied the method to six landslide inventories spread over the Japanese archipelago in several different tests and training configurations to demonstrate the effectiveness of our approach. We achieved mean accuracy ranging from 67% to 92%. We also provide an illustrative example of a real‐world usage scenario for our method using an additional inventory with unknown ground truth. Furthermore, our feature importance analysis indicates that landslides having identical trigger mechanisms exhibit similar geometric properties. |
领域 | 气候变化 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/311309 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | Kamal Rana,Ugur Ozturk,Nishant Malik. Landslide Geometry Reveals its Trigger[J]. Geophysical Research Letters,2021. |
APA | Kamal Rana,Ugur Ozturk,&Nishant Malik.(2021).Landslide Geometry Reveals its Trigger.Geophysical Research Letters. |
MLA | Kamal Rana,et al."Landslide Geometry Reveals its Trigger".Geophysical Research Letters (2021). |
条目包含的文件 | 条目无相关文件。 |
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