DEM-based pluvial flood inundation modeling at a metropolitan scale

The global increase in urban flooding presents a substantial challenge that affects communities across the globe. This study introduces a post-flood inundation modeling framework tailored to pluvial floods on a metropolitan scale. We employ a dual drainage modeling approach for enhanced accuracy. The framework comprises two primary components: a Storm Water Management Model ( SWMM ) for simulating water movement within the storm drain system, and an advanced DEM-based flood inundation module that leverages SWMM results to predict flood inundation areas. Compared to the conventional flood spreading models commonly used in dual drainage modeling, this module incorporates high-resolution DEM cells into the surface flow routing processes, allowing to capture intricate surface terrain complexities. Additionally, the proposed module considers direct rainfall impacts on pluvial flood inundation mapping, resulting in enhanced accuracy. To evaluate the proposed model's accuracy, a two-step validation approach has been implemented. This includes comparing the proposed model results with both the high water marks measured in the aftermath of Hurricane Harvey and the flood depth map generated by a hydrodynamic model. The findings affirm the effectiveness of our proposed framework for post-flood inundation mapping within metropolitan settings. This method provides a dependable approach to urban flood modeling and represents an advancement in addressing the challenges associated with urban flooding. • This study introduces post-flood inundation modeling on a metropolitan scale. • The framework includes SWMM for storm drain simulation, and a DEM-based module to predict flood inundation areas. • The proposed module considers direct rainfall impacts on pluvial flood inundation mapping, resulting in enhanced accuracy. • The findings affirm the effectiveness of our proposed approach within metropolitan settings.

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Institutions

Publication Details

Journal
Environmental Modelling & Software
Published
2024-09-23
DOI
https://doi.org/10.1016/j.envsoft.2024.106226
Citations
16
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
4.52
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article

DEM-based pluvial flood inundation modeling at a metropolitan scale

Keighobad Jafarzadegan, Hamid Moradkhani, Aylar Samadi
16 citations
Environmental Modelling & Software
Flood Risk Assessment and Management
4.52
article

DEM-based pluvial flood inundation modeling at a metropolitan scale

Keighobad Jafarzadegan, Hamid Moradkhani, Aylar Samadi
article en
16 citations

Abstract

The global increase in urban flooding presents a substantial challenge that affects communities across the globe. This study introduces a post-flood inundation modeling framework tailored to pluvial floods on a metropolitan scale. We employ a dual drainage modeling approach for enhanced accuracy. The framework comprises two primary components: a Storm Water Management Model ( SWMM ) for simulating water movement within the storm drain system, and an advanced DEM-based flood inundation module that leverages SWMM results to predict flood inundation areas. Compared to the conventional flood spreading models commonly used in dual drainage modeling, this module incorporates high-resolution DEM cells into the surface flow routing processes, allowing to capture intricate surface terrain complexities. Additionally, the proposed module considers direct rainfall impacts on pluvial flood inundation mapping, resulting in enhanced accuracy. To evaluate the proposed model's accuracy, a two-step validation approach has been implemented. This includes comparing the proposed model results with both the high water marks measured in the aftermath of Hurricane Harvey and the flood depth map generated by a hydrodynamic model. The findings affirm the effectiveness of our proposed framework for post-flood inundation mapping within metropolitan settings. This method provides a dependable approach to urban flood modeling and represents an advancement in addressing the challenges associated with urban flooding. • This study introduces post-flood inundation modeling on a metropolitan scale. • The framework includes SWMM for storm drain simulation, and a DEM-based module to predict flood inundation areas. • The proposed module considers direct rainfall impacts on pluvial flood inundation mapping, resulting in enhanced accuracy. • The findings affirm the effectiveness of our proposed approach within metropolitan settings.

Environmental Modelling & SoftwareVol. 183
University of Alabama (US)
Climate action
Openalex Percentile: Top 5%
Flood Risk Assessment and Management
4.52
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