Abstract

This study proposed two methods, boundary-type and pond-type, to link overland and underground space in urban flood modeling. The boundary-type treats the exit of underground space as an interface for inflow of floodwater by imposing open boundary condition and pond-type considers underground space as an underground pond by configuring pond terrain. The effect of underground space in urban flood inundation was examined by coupling one-dimensional (1D) stormwater management model (SWMM) and two-dimensional (2D) overland flood model. The models were applied to the Hyoja drainage basin, Seoul, Korea where urban flood occurred due to heavy rainfall in 21 September 2010. The conduit roughness coefficient of SWMM was calibrated to minimize the difference between observed and predicted water depth of pipe. In addition, the surface roughness coefficient of 2D model was calibrated by comparing observed and predicted flood extent. Then, urban flood analysis was performed on three different scenarios involving a case not considering underground (Case 1) and cases considering underground, boundary-type (Case 2) and pond-type (Case 3). The simulation results have shown that the boundary-type is simple but robust method with high computational efficiency to link overland and underground space in urban flood modeling.

Highlights

  • Rapid industrialization and urbanization has brought about an increase in population, industrial facilities, and transportation, which require building space utilization advancement and space layout planning for efficient utilization of overland space

  • 2D flood inundation modeling using a fine grid with high-resolution topography requires considerable computational time, the computational efficiency of 2D flood modeling is one of the challenges [19]

  • Conclusions few studies have been conducted on urban flood analysis in consideration of the two spaces few studies have been conducted on urban flood analysis in consideration of the two spaces simultaneously

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Summary

Introduction

Rapid industrialization and urbanization has brought about an increase in population, industrial facilities, and transportation, which require building space utilization advancement and space layout planning for efficient utilization of overland space. 2D flood inundation modeling using a fine grid with high-resolution topography requires considerable computational time, the computational efficiency of 2D flood modeling is one of the challenges [19] This problem has led to several methodologies to improve the performance of 2D urban flood modeling such as sub-grid method [20,21], 2D storage model with bilinear gridding technique [22], multi-layered coarse grid modeling [19], porosity shallow water model [20,21,22,23,24,25,26,27,28] and LiDAR filtering algorithm [29,30]

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