Study of a Grid-Based Urban Drainage System Analysis Model

As the focus shifts from responding to climate change to adapting to the climate crisis, the need for detailed water adaptation strategies is increasing. Local governments are required to implement measures to address urban flooding, and models such as XP-SWMM are being utilized. However, these models have limitations in terms of precision owing to the resolution of the available data. To address this issue, this study developed a grid-based urban flood analysis model capable of predicting urban flooding using high-resolution data based on a detailed grid of less than 10 m, adequately considering watershed characteristics. It integrates surface runoff analysis using the Clark Unit Hydrograph method and the D8 algorithm, conduit transport analysis linked with EPA-SWMM, and flood analysis modules utilizing the WCA2D method. Unlike existing urban flood analysis models, which require complex parameters and specialized expertise, this model minimizes the number of input parameters to enhance accessibility for practitioners while maintaining reliability in the analysis results. A grid-based model based on high-resolution spatial data can be employed by local governments to establish practical guidelines. It effectively identifies vulnerable flood areas within cities and supports the development of specific flood response strategies, thereby contributing significantly to urban flood management and resilience planning.

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Publication Details

Journal
Korean Society of Hazard Mitigation
Published
2024-12-29
DOI
https://doi.org/10.9798/kosham.2024.24.6.349
Citations
5
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
1.41
Controls
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article

Study of a Grid-Based Urban Drainage System Analysis Model

Da Hae Yu, Ju Hyun Jeon, Jung Ho Lee, Dong Jun Kim et al.
5 citations
Korean Society of Hazard Mitigation
Flood Risk Assessment and Management
1.41
article

Study of a Grid-Based Urban Drainage System Analysis Model

Da Hae Yu, Ju Hyun Jeon, Jung Ho Lee, Dong Jun Kim, Yang Ho Song
article en
5 citations

Abstract

As the focus shifts from responding to climate change to adapting to the climate crisis, the need for detailed water adaptation strategies is increasing. Local governments are required to implement measures to address urban flooding, and models such as XP-SWMM are being utilized. However, these models have limitations in terms of precision owing to the resolution of the available data. To address this issue, this study developed a grid-based urban flood analysis model capable of predicting urban flooding using high-resolution data based on a detailed grid of less than 10 m, adequately considering watershed characteristics. It integrates surface runoff analysis using the Clark Unit Hydrograph method and the D8 algorithm, conduit transport analysis linked with EPA-SWMM, and flood analysis modules utilizing the WCA2D method. Unlike existing urban flood analysis models, which require complex parameters and specialized expertise, this model minimizes the number of input parameters to enhance accessibility for practitioners while maintaining reliability in the analysis results. A grid-based model based on high-resolution spatial data can be employed by local governments to establish practical guidelines. It effectively identifies vulnerable flood areas within cities and supports the development of specific flood response strategies, thereby contributing significantly to urban flood management and resilience planning.

Korean Society of Hazard MitigationVol. 24(6)
Hanbat National University (KR), Sejong Institute (KR)
Climate action
Openalex Percentile: Top 18%
Flood Risk Assessment and Management
1.41
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