Assessing the Risk of Inundation in Thu Duc City using an Integrated 1D-2D Hydrodynamic Model with a Combination of Boundary Conditions Defined by Probability Analyses

Urban flooding has emerged as a significant issue in rapidly expanding cities like Thu Duc City, Vietnam, exacerbated by the dual pressures of urbanization and climate change. This study employs an integrated 1D-2D hydrodynamic model to assess flood risks and hazards, incorporating probabilistic analyses of rainfall and tidal levels. Simulations across varying recurrence intervals produce detailed flood hazard maps that identify vulnerable areas and quantify flood depths. Key findings indicate that central areas, including Thu Duc market and Tam Binh Ward, are highly prone to flooding, with depths exceeding 1.5 meters in severe scenarios. The flood hazard maps reveal consistent flooding patterns, with both flood depths and affected areas increasing over time. Economic assessments estimate average annual flood losses at 21,622 billion Vietnamese dong (VND), underscoring the substantial economic consequences of flooding in the region. This study uniquely integrates multi-factor boundary conditions, combining rainfall and tidal influences for a more comprehensive risk assessment than traditional single-factor approaches. The findings highlight the urgency of enhancing drainage infrastructure and implementing targeted flood management strategies, such as retention basins and improved urban planning. These results offer critical insights for urban planners and policymakers aiming to mitigate flood risks and enhance resilience in rapidly urbanizing areas.

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Publication Details

Journal
Journal of Water Management Modeling
Published
2025-01-01
DOI
https://doi.org/10.14796/jwmm.s558
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing the Risk of Inundation in Thu Duc City using an Integrated 1D-2D Hydrodynamic Model with a Combination of Boundary Conditions Defined by Probability Analyses

Giang Song Lê, Binh Thanh Nguyen, Hoa Thanh Thi Nguyen
Journal of Water Management Modeling
Flood Risk Assessment and Management
article

Assessing the Risk of Inundation in Thu Duc City using an Integrated 1D-2D Hydrodynamic Model with a Combination of Boundary Conditions Defined by Probability Analyses

Giang Song Lê, Binh Thanh Nguyen, Hoa Thanh Thi Nguyen
article en

Abstract

Urban flooding has emerged as a significant issue in rapidly expanding cities like Thu Duc City, Vietnam, exacerbated by the dual pressures of urbanization and climate change. This study employs an integrated 1D-2D hydrodynamic model to assess flood risks and hazards, incorporating probabilistic analyses of rainfall and tidal levels. Simulations across varying recurrence intervals produce detailed flood hazard maps that identify vulnerable areas and quantify flood depths. Key findings indicate that central areas, including Thu Duc market and Tam Binh Ward, are highly prone to flooding, with depths exceeding 1.5 meters in severe scenarios. The flood hazard maps reveal consistent flooding patterns, with both flood depths and affected areas increasing over time. Economic assessments estimate average annual flood losses at 21,622 billion Vietnamese dong (VND), underscoring the substantial economic consequences of flooding in the region. This study uniquely integrates multi-factor boundary conditions, combining rainfall and tidal influences for a more comprehensive risk assessment than traditional single-factor approaches. The findings highlight the urgency of enhancing drainage infrastructure and implementing targeted flood management strategies, such as retention basins and improved urban planning. These results offer critical insights for urban planners and policymakers aiming to mitigate flood risks and enhance resilience in rapidly urbanizing areas.

Journal of Water Management Modeling
Vietnam National University Ho Chi Minh City (VN)
Ho Chi Minh City University of Technology and Education, Viet Nam National University Ho Chi Minh City
Openalex Percentile: Top 80%
Flood Risk Assessment and Management
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