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DOI | 10.3389/frwa.2024.1310182 |
Fast urban inundation simulation with RIM2D for flood risk assessment and forecasting | |
发表日期 | 2024 |
EISSN | 2624-9375 |
起始页码 | 6 |
卷号 | 6 |
英文摘要 | Introduction Urban pluvial flooding is a growing concern worldwide as consequence of rising urban population and climate change induced increases in heavy rainfall. Easy-to-implement and fast simulation tools are needed to cope with this challenge.Methods This study describes the development of the parsimonious, GPU-accelerated hydraulic model RIM2D for urban pluvial flood simulations. This is achieved by considering the built-up urban area as flow obstacles, and by introducing capacity-based approaches to consider urban drainage by infiltration on pervious surfaces and sewer drainage from roofs and sealed surfaces. The model performance was analyzed by simulating 8 heavy rainfall events in a test area in the city of Dresden, Germany. For these events detailed discharge measurements of sewer discharge are available, providing a unique dataset for evaluating the sewer drainage simulation, which is of high importance for realistic pluvial inundation simulations in urban areas.Results and discussion We show that the model simulates the temporal dynamics of the sewer discharge and the sewer volume within acceptable ranges. Moreover, the erratic variation of the simulated to measured sewer discharge suggests that the deviations from the measurements are caused by the precipitation input rather than the model simplifications. We conclude that RIM2D is a valid tool for urban inundation simulation. Its short simulation runtimes allow probabilistic flood risk assessments and operational flood forecasts. |
英文关键词 | pluvial flood; urban inundation; flood modeling; RIM2D; GPU acceleration; heavy precipitation; urban flood risk; flood forecasting |
语种 | 英语 |
WOS研究方向 | Water Resources |
WOS类目 | Water Resources |
WOS记录号 | WOS:001198776800001 |
来源期刊 | FRONTIERS IN WATER |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/297530 |
作者单位 | Helmholtz Association; Helmholtz-Center Potsdam GFZ German Research Center for Geosciences; Technische Universitat Dresden; University of Potsdam |
推荐引用方式 GB/T 7714 | . Fast urban inundation simulation with RIM2D for flood risk assessment and forecasting[J],2024,6. |
APA | (2024).Fast urban inundation simulation with RIM2D for flood risk assessment and forecasting.FRONTIERS IN WATER,6. |
MLA | "Fast urban inundation simulation with RIM2D for flood risk assessment and forecasting".FRONTIERS IN WATER 6(2024). |
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