Rapid Flood Inundation Mapping for Catastrophic Floods Due to Dam Failures - CUAHSI Summer Institute 2024

This data repository is connected with the CUAHSI Summer Institute 2024 program, SHARP FIM group.

The data includes flood inundation maps developed using three models (HEC-RAS, OWP HAND-FIM, FLDPLN) for two dam break model scenarios of the Fall River Lake dam, Kansas. The first scenario considered the reservoir at full capacity (dam crest level) and the second scenario considered the reservoir was at the normal pool level (Sunny day failure).

The title of the report: Rapid Flood Inundation Mapping for Catastrophic Floods Due to Dam Failures\".

The abstract of the report:

Dam operations and catastrophic failures can severely impact lives and properties. While conventional hydrodynamic models can generate flood inundation maps using numerical methods to solve shallow water equations, these models are complex and computationally intensive. This study uses two terrain-based models, OWP HAND-FIM and FLDPLN, to generate the inundation maps for near real-time operational applications. The dam-break flood hydrograph is empirically calculated as a function of the normal reservoir pool level. The Fall River Dam in Kansas is used as a case study. The peak discharges are attenuated along downstream reaches using a simple analytical solution derived from the diffusive wave equation. These are used to generate flood inundation maps using the two terrain-based models. The maps are evaluated using a benchmark HEC-RAS model with quantitative metrics and flood impacts are analyzed. The results show that terrain-based models can effectively generate flood inundation maps, with the OWP HAND-FIM model achieving an accuracy of 92.1% and the FLDPLN model with an accuracy of 87.5%. The computation runtime for the approach is very short, just a few minutes compared to 17 hours for HEC-RAS. The proposed approach of mapping dam-break inundation can provide near real-time flood impact assessment and scalability for dams across the USA.

本数据集仓库关联2024年CUAHSI暑期学院SHARP FIM研究小组。

本次数据集包含针对美国堪萨斯州福尔河水库大坝两种溃坝模型情景，采用HEC-RAS、OWP HAND-FIM、FLDPLN三种模型生成的洪水淹没图。其中第一种情景为水库处于满库状态（坝顶水位），第二种情景为水库处于正常蓄水位（日常工况溃坝）。

本报告标题为《针对溃坝引发特大洪水的快速洪水淹没制图》。

本报告摘要如下：大坝运行及灾难性溃坝事件将严重威胁生命与财产安全。传统水动力模型可通过求解浅水方程的数值方法生成洪水淹没图，但此类模型结构复杂且计算量巨大。本研究采用两类基于地形的模型——OWP HAND-FIM与FLDPLN，为近实时业务应用生成洪水淹没图。研究以堪萨斯州福尔河大坝为案例，基于正常水库蓄水位通过经验公式计算溃坝洪水过程线。借助由扩散波方程推导得到的简易解析解，对下游河段的洪峰流量进行衰减修正，随后利用上述两类地形模型生成洪水淹没图。本研究采用基准模型HEC-RAS，通过定量指标对生成的淹没图开展评估，并分析洪水影响。结果表明，基于地形的模型可有效生成洪水淹没图：OWP HAND-FIM模型准确率达92.1%，FLDPLN模型准确率达87.5%。本研究方法的计算耗时极短，仅需数分钟，而HEC-RAS模型则需17小时。本研究提出的溃坝淹没制图方法，可实现全美范围内大坝的近实时洪水影响评估与规模化应用。