Comparison of dynamic flow interaction methods between pipe system and overland in urban flood analysis

Author:

Hao Xiaoli,Li Yanmin,Liu Shu

Abstract

AbstractUrban flooding can be predicted by using different modeling approaches. This study considered different methods of modeling the dynamic flow interactions between pipe systems and surface flooding in urban areas. These approaches can be divided into two categories based on surface runoff collection units. This paper introduces a new hydrodynamic model that couples the storm water management model and the 2D overland model. The model’s efficiency was validated based on the aforementioned experimental dataset; agreement was verified by correlation values above 0.6. Additionally, this study used different approaches and compared their accuracy in predicting flooding patterns. The results show that the use of sub-catchments to model the collection of surface runoff was not predictive of the inundation process, indicating a lower goodness of fit with the recorded values than that of adopting cells. Moreover, to determine which method of adopting cells to collect runoff could better predict rainstorm-induced inundation, an error and correlation analysis was conducted. The analysis found low error and high correlation, suggesting that inundation can be effectively predicted by the new approaches. Ultimately, this study contributes to existing work on numerical analysis of the interaction methods of urban flooding.

Funder

Beijing Urban Flood simulation Model Construction (Phase II) project

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference38 articles.

1. Arnell, N. W. et al. The impacts of climate change across the globe: a multi-sectoral assessment. Clim. Change 134, 457–474 (2016).

2. Schulz, K. & Bernhardt, M. The end of trend estimation for extreme floods under climate change. Hydrol. Process. 30, 1804–1808 (2016).

3. Winsemius, H. C. et al. Disaster risk, climate change, and poverty: assessing the global exposure of poor people to floods and droughts. Environ. Dev. Econ. 23, 1–35 (2015).

4. Bates, P. D. et al. A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling. J. Hydrol. 387, 33–45 (2010).

5. Benslimane, M. et al. Two-dimensional shallow-water model with porosity for urban flood modeling. Multidiscip. Digital Publishing Inst. Proc. 2, 1307–1311 (2018).

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