five

Human settlement pressure drives slow-moving landslide exposure

收藏
DataCite Commons2024-08-05 更新2025-04-16 收录
下载链接:
http://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.U2MEOX
下载链接
链接失效反馈
官方服务:
资源简介:
A rapidly growing population across mountain regions is pressuring expansion onto steeper slopes, leading to increased exposure of people and their assets to slow-moving landslides. These moving hillslopes can inflict damage to buildings and infrastructure, accelerate with urban alterations, and catastrophically fail with climatic and weather extremes. Yet, systematic estimates of slow-moving landslide exposure and their drivers have been elusive. Here, we present a new global database of 7,764 large (A ≥ 0.1 km2 ) slow-moving land slides across nine IPCC regions. Using high-resolution human settlement footprint data, we identify 563 inhabited landslides. We estimate that 9% of reported slow-moving landslides, in a given basin, may be inhabited with settlement footprints covering 12% of their areas, on average. We find the area of settlements on unstable slopes decreases with greater areas of a basin affected by slow-moving landslides, but varies by region with greater flood exposure. Across most regions, urbanization can be a relevant driver of slow-moving landslide exposure, while steepness and flood exposure have regionally varying influences. In East Asia, slow-moving landslide exposure increases with urbanization, gentler slopes, and less flood exposure. Our findings quantify how disparate knowledge creates uncertainty that undermines an assessment of the drivers of slow-moving landslide exposure in mountain regions facing a future of rising risk, such as Central Asia, Northeast Africa, and the Tibetan Plateau.
提供机构:
Root
创建时间:
2024-08-04
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作