遇见数据集

(Multiple) Dam Failures Analysis Output - I-GUIDE Aging Dam Project

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DataONE2023-09-03 更新2024-06-08 收录
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This data repository is connected with a manuscript entitled \"Socioeconomic characteristics of at-risk populations impacted by the aging dam infrastructure in the USA - Who is facing the risk of potential dam failures? \" Abstract of the manuscript: The dam infrastructure in the conterminous United States (CONUS) has exceeded its designed service lives to a large extent, posing an increased risk of failures that can cause catastrophic disasters with substantial economic and human losses. However, limited attention has been paid to the characteristics of at-risk populations, hindering adequate understanding and preparedness for emergency planning. Our study proposes a framework employing spatial metrics to discover where and whether socially vulnerable populations are more exposed to flood inundation risks induced by dam failures. By applying the framework to 345 dams in the CONUS, we found that characteristics of at-risk populations vary extensively across space. To better understand this spatial variability, we categorized the dams into five clusters based on at-risk population characteristics. We find that of the dams analyzed, those in California, New England, and the Upper Mississippi basin, pose particularly high consequential risks for socially vulnerable populations. Directory Structure: In addition to the notebooks and other data, the analysis ready output data for all dams is in \"results/N_*\" directories.

本数据集仓库关联一篇题为《美国老化坝体基础设施影响的风险人群社会经济特征——谁面临潜在坝体溃决风险?》的手稿。 该手稿摘要如下: 美国本土(CONUS)的坝体基础设施已在很大程度上超出设计使用寿命,溃决风险持续攀升,一旦发生将引发灾难性事故,造成巨额经济损失与人员伤亡。然而当前针对风险人群特征的研究关注度不足,阻碍了对相关风险的充分认知与应急筹备工作的开展。本研究提出了一种基于空间度量指标的分析框架,用于探究社会弱势群体是否更易暴露于坝体溃决引发的洪水淹没风险,以及此类风险的空间分布特征。通过将该框架应用于美国本土的345座坝体,本研究发现风险人群的社会经济特征在空间上存在显著差异。为进一步明晰这种空间异质性,研究团队基于风险人群特征将所分析的坝体划分为5个集群。研究结果显示,位于加利福尼亚州、新英格兰地区以及密西西比河上游流域的坝体,对社会弱势群体造成的后续风险尤为突出。 目录结构: 除Jupyter笔记本(notebooks)与其他辅助数据外,所有坝体的可直接用于分析的输出数据均存储于"results/N_*"目录中。

创建时间:
2023-12-30
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