Hindcasting compound pluvial, fluvial and coastal flooding during Hurricane Harvey (2017) using Delft3D-FM

被引:0
|
作者
Wonhyun Lee
Alexander Y. Sun
Bridget R. Scanlon
Clint Dawson
机构
[1] The University of Texas at Austin,Bureau of Economic Geology, Jackson School of Geoscience
[2] The University of Texas at Austin,Oden Institute for Computational Engineering and Sciences
来源
Natural Hazards | 2024年 / 120卷
关键词
Delft3D-FM; Compound flooding; Pluvial flooding; Fluvial flooding; Storm surge; Hurricane Harvey;
D O I
暂无
中图分类号
学科分类号
摘要
Hurricane Harvey (2017) resulted in unprecedented damage from flooding in the Houston–Galveston area of the U.S. Gulf Coast. The objective of this study was to better quantify the impacts of compound flooding and to assess the relative contributions of storm surge, pluvial (rainfall) and fluvial (riverine) flooding using Hurricane Harvey as a case study. Here we developed a comprehensive numerical modeling framework to simulate flood extents and levels during Hurricane Harvey using Delft3D Flexible Mesh and validated results against observed water levels, waves, winds, hydrographs and high water marks. Results show that pluvial flooding dominated from widespread heavy rainfall during Harvey, accounting for ~ 60–65% of flooding. Pluvial flooding occurred mostly in watersheds and floodplains in West and South Bays (≤ ~ 1.5 m), upper Galveston Bay (Trinity River Basin, 2–3 m) and Harris County (≤ ~ 2.5 m). River runoff led to local ~ 1–2 m flooding. Significant storm surge levels were simulated northwest of the main Bay (2–2.5 m) and Galveston Bay (1–2 m) and in several watersheds in West/East of Galveston Bay. Wave action caused flood depth and water levels to rise by about 0.3–0.5 m in nearshore areas. Maximum flooding extent developed around August 29, 2017, which compared well to FEMA flood depth data. Nonlinear effects of compound flooding are greater than the sum of individual components. Results from this large-scale coupled modeling analysis provide a useful basis for coastal risk management and hazard mitigation. Our integrated framework is general and can be readily applied to other coastal compound flooding analyses.
引用
收藏
页码:851 / 880
页数:29
相关论文
共 8 条
  • [1] Hindcasting compound pluvial, fluvial and coastal flooding during Hurricane Harvey (2017) using Delft3D-FM
    Lee, Wonhyun
    Sun, Alexander Y.
    Scanlon, Bridget R.
    Dawson, Clint
    NATURAL HAZARDS, 2024, 120 (01) : 851 - 880
  • [2] Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS
    Sebastian, A.
    Bader, D. J.
    Nederhoff, C. M.
    Leijnse, T. W. B.
    Bricker, J. D.
    Aarninkhof, S. G. J.
    NATURAL HAZARDS, 2021, 109 (03) : 2343 - 2362
  • [3] Hindcast of pluvial, fluvial, and coastal flood damage in Houston, Texas during Hurricane Harvey (2017) using SFINCS
    A. Sebastian
    D. J. Bader
    C. M. Nederhoff
    T. W. B. Leijnse
    J. D. Bricker
    S. G. J. Aarninkhof
    Natural Hazards, 2021, 109 : 2343 - 2362
  • [4] Compound Coastal, Fluvial, and Pluvial Flooding During Historical Hurricane Events in the Sabine-Neches Estuary, Texas
    Maymandi, Nahal
    Hummel, Michelle A.
    Zhang, Yu
    WATER RESOURCES RESEARCH, 2022, 58 (12)
  • [5] Predicting Road Network Vulnerability to Fluvial Flooding Using Machine Learning Classifiers: Case Study of Houston during Hurricane Harvey
    Abdulla, Bahrulla
    Birgisson, Bjorn
    CONSTRUCTION RESEARCH CONGRESS 2020: COMPUTER APPLICATIONS, 2020, : 38 - 47
  • [6] Uncertainties in Simulating Flooding During Hurricane Harvey Using 2D Shallow Water Equations
    Xu, Donghui
    Bisht, Gautam
    Engwirda, Darren
    Feng, Dongyu
    Tan, Zeli
    Ivanov, Valeriy Y.
    WATER RESOURCES RESEARCH, 2025, 61 (01)
  • [7] Inter-Model Comparison of Delft3D-FM and 2D HEC-RAS for Total Water Level Prediction in Coastal to Inland Transition Zones
    Munoz, David F.
    Yin, Dongxiao
    Bakhtyar, Roham
    Moftakhari, Hamed
    Xue, Zuo
    Mandli, Kyle
    Ferreira, Celso
    JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2022, 58 (01): : 34 - 49
  • [8] Modeling compound flooding in coastal systems using a computationally efficient reduced-physics solver: Including fluvial, pluvial, tidal, wind- and wave-driven processes
    Leijnse, Tim
    van Ormondt, Maarten
    Nederhoff, Kees
    van Dongeren, Ap
    COASTAL ENGINEERING, 2021, 163