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River Augmented Global Landslide Dams (RAGLAD)

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DataCite Commons2026-02-03 更新2025-04-17 收录
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https://archive.researchdata.leeds.ac.uk/1237/
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资源简介:
To address the current data and understanding knowledge gap in landslide dam inventories related to geomorphological parameters, a new global-scale landslide dam dataset named River Augmented Global Landslide Dams (RAGLAD) was created. RAGLAD is a collection of landslide dam records from multiple data sources published in various languages and many of these records we have been able to precisely geolocate. In total, 779 landslide dam records were compiled from 34 countries/regions. The spatial distribution, time trend, triggers, and geomorphological characteristic of the landslides and catchments where landslide dams formed are summarized. The relationships between geomorphological characteristics for landslides that form river dams are discussed and compared with those of landslides more generally. Additionally, a potential threshold for landslide dam formation is proposed, based on the relationship of landslide volume to river width. Our findings from our analysis of the value of the use of additional fluvial datasets to augment the database parameters indicate that they can be applied as a reliable supplemental data source, when the landslide dam records were accurately and precisely geolocated, although location precision in smaller river catchment areas can result in some uncertainty at this scale. This newly collected and supplemented dataset will allow the analysis and development of new relationships between landslides located near rivers and their actual propensity to block those particular rivers based on their geomorphology.

针对当前与地貌参数相关的滑坡坝编目数据及认知缺口,本研究构建了一套全新的全球尺度滑坡坝数据集——河流增强型全球滑坡坝(River Augmented Global Landslide Dams, RAGLAD)。该数据集整合了多语种来源的滑坡坝记录,其中多数记录已完成精准地理定位。本数据集共收录了来自34个国家/地区的779条滑坡坝记录。研究总结了滑坡坝形成所在的滑坡体与汇水区的空间分布、时间演化趋势、触发因素及地貌特征。探讨了形成河流拦挡坝的滑坡体的地貌特征间的关联,并将其与普通滑坡的地貌特征关联进行对比分析。此外,基于滑坡体积与河道宽度的关联关系,本研究提出了滑坡坝形成的潜在阈值。针对额外河流数据集用于补充数据集参数的价值开展分析后,本研究得出结论:当滑坡坝记录完成精准地理定位时,这类数据集可作为可靠的补充数据源;不过在小型河道汇水区内,定位精度仍可能在该尺度下带来一定不确定性。这套全新采集并补充完善的数据集,将支持开展新的关联分析:基于地貌特征,揭示河道附近滑坡与该滑坡实际阻断对应河道的倾向性之间的新型关联关系。
提供机构:
University of Leeds
创建时间:
2024-02-07
搜集汇总
背景与挑战
背景概述
RAGLAD是一个全球滑坡坝数据集,包含779条来自34个国家/地区的记录,重点研究滑坡坝的地貌特征及其与河流的关系。数据集还提出了基于滑坡体积与河流宽度关系的滑坡坝形成潜在阈值,为相关研究提供了重要参考。
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