一个关于河流堤突破事件的综合数据集,用于推进风险评估
Stefan Flynn1,2, Farshid Vahedifard3,4, David Schaaf5
1U.S. Army Corps of Engineers, Rock Island, IL, 61201, USA.
Scientific data
|December 19, 2025
概括
土壤堤经常因为覆盖而失败. 本研究介绍了Levee Loading and Incident Dataset-Overtopping (LLID-OT),这是一个全面的资源,详细介绍了487个覆盖事件,以改善防洪模型.
科学领域:
- 土木工程 土木工程是指土木工程.
- 水文学的水文学
- 地质技术工程 地质技术工程
背景情况:
- 土壤堤防是关键的全球防洪防御.
- 超标是堤故障的主要原因.
- 现有关于重叠事件的现场数据稀缺且碎片化.
研究的目的:
- 为了引入杆载荷和事件数据集 - 覆盖 (LLID-OT) 版本1.0.0.
- 为提供美国河流堤超越事件的综合数据集.
- 支持开发改进的堤风险评估和洪水管理模型.
主要方法:
- 汇编了15年来487次超标事件的数据.
- 从各种来源收集信息,包括官方报告,航空图像和目击者的说法.
- 通过交叉引用和参数验证来确保数据质量.
主要成果:
- 该数据集包括详细的液压负载,土壤,基础,施工,维护,几何和破裂维度数据.
- 分析显示,漏洞特征与土壤类型,突破深度/持续时间和堤几何等因素之间存在一致的关系.
- 现在可以使用LLID-OT数据集进行研究和开发.
结论:
- 该LLID-OT数据集显著提高了对堤突破故障的理解.
- 这种资源对于校准和验证数据驱动和基于物理的堤模型至关重要.
- 改进的模型将推进堤风险评估,设计和整体洪水管理策略.
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