中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A dataset and review of empirical estimation relationships for landslide runout distances: Comment

文献类型:期刊论文

作者Zhao, Bo1,2,3,4
刊名EARTH-SCIENCE REVIEWS
出版日期2026
卷号272页码:4
关键词Landslide runout Landslide topography Landslide dataset
ISSN号0012-8252
DOI10.1016/j.earscirev.2025.105354
英文摘要

The paper "A dataset and review of empirical estimation relationships for landslide runout distances" by Gong et al. (2025), published in Earth-Science Reviews (doi: https://doi.org/10.1016/j.earscirev.2025.105225), presents a noteworthy contribution to the field. It not only summarizes recent advances in estimating landslide runout distances but also introduces new empirical relationships based on a recently compiled dataset. Landslide runout distance is strongly influenced by spatial confinement conditions (landslide topography) during movement and accumulation. However, as the authors themselves note, the current empirical relationships does not account for landslide topography at all. Moreover, the existing dataset has certain limitations that many landslide types are not taken into consideration. In this comment, I aim to offer some constructive input regarding landslide topography and compiled landslide dataset, which may help address some of these gaps.

WOS关键词EARTHQUAKE ; MOBILITY ; PREDICTION ; TOPOGRAPHY ; ANGLE
资助项目Deep Earth Probe and Mineral Resources Exploration-National Science and Technology Major Project[2024ZD1000500] ; National Natural Science Foundation of China[U22A20603] ; National Natural Science Foundation of China[42571095] ; Science Technology Research Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences[IMHE-ZYTS-03] ; Science Technology Research Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences[IMHE-ZDRW-03] ; Science and Technology Development Fund[001/2024/SKL] ; State Key Laboratory of Internet of Things for Smart City (University of Macau)[SKL-IoTSC (UM) -2024-2026/ORP/GA09/2023]
WOS研究方向Geology
语种英语
WOS记录号WOS:001638912900001
出版者ELSEVIER
资助机构Deep Earth Probe and Mineral Resources Exploration-National Science and Technology Major Project ; National Natural Science Foundation of China ; Science Technology Research Program of the Institute of Mountain Hazards and Environment, Chinese Academy of Sciences ; Science and Technology Development Fund ; State Key Laboratory of Internet of Things for Smart City (University of Macau)
源URL[http://ir.imde.ac.cn/handle/131551/59423]  
专题成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者Zhao, Bo
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan
3.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
4.Chinese Acad Sci, Key Lab Mt Hazards & Engn Resilience, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Bo. A dataset and review of empirical estimation relationships for landslide runout distances: Comment[J]. EARTH-SCIENCE REVIEWS,2026,272:4.
APA Zhao, Bo.(2026).A dataset and review of empirical estimation relationships for landslide runout distances: Comment.EARTH-SCIENCE REVIEWS,272,4.
MLA Zhao, Bo."A dataset and review of empirical estimation relationships for landslide runout distances: Comment".EARTH-SCIENCE REVIEWS 272(2026):4.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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