WRF-Hydro-CUFA: A scalable and adaptable coastal-urban flood model based on the WRF-Hydro and SWMM models

被引:8
|
作者
Son, Youngjun [1 ,4 ]
Di Lorenzo, Emanuele [1 ,2 ]
Luo, Jian [3 ]
机构
[1] Georgia Inst Technol, Program Ocean Sci & Engn, Atlanta, GA USA
[2] Brown Univ, Dept Earth Environm & Planetary Sci, Providence, RI USA
[3] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA USA
[4] 311 Ferst Dr, Atlanta, GA 30332 USA
关键词
Urban flood; Coastal flood; Hyper-resolution; WRF-Hydro model; SWMM model; Operational flood predictions; COUPLED HYDRODYNAMIC MODEL; STORM-SURGE; INUNDATION; FRAMEWORK; RUNOFF; LEVEL; CITY;
D O I
10.1016/j.envsoft.2023.105770
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An open-source urban flood model is vital for vulnerable coastal communities with limited budgets to assess emerging flood risks posed by global climate change. In this study, a hyper-resolution flood model for coastalurban systems, WRF-Hydro-CUFA (Coastal Urban Flood Applications), is developed based on a distributed process-based hydrologic model, WRF-Hydro, to represent urban hydrologic processes. In addition, WRF-HydroCUFA integrates a hydraulic flow solver, SWMM, to consider flood controls of stormwater drainage. As a pilot study, the applications for past non-extreme and extreme flood events in the City of Tybee Island, USA, show that WRF-Hydro-CUFA can represent multiple flood mechanisms, including coastal and pluvial flooding. WRF-HydroCUFA is further implemented for operational flood predictions on a web-based dashboard, providing an opportunity for calibration and improvement. The application and enhancement processes of WRF-Hydro-CUFA can be transferred and adapted in other coastal communities facing similar flood risks but with limited access to flood models.
引用
收藏
页数:15
相关论文
共 41 条
  • [1] Evaluation of Flood Prediction Capability of the WRF-Hydro Model Based on Multiple Forcing Scenarios
    Sun, Mingkun
    Li, Zhijia
    Yao, Cheng
    Liu, Zhiyu
    Wang, Jingfeng
    Hou, Aizhong
    Zhang, Ke
    Huo, Wenbo
    Liu, Moyang
    WATER, 2020, 12 (03)
  • [2] Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid environment
    Liu, Peilong
    Liang, Zhongmin
    Qian, Mingkai
    Hu, Yiming
    Wang, Jun
    Li, Binquan
    HYDROLOGY RESEARCH, 2024, 55 (07): : 728 - 748
  • [3] Potential of the Coupled WRF/WRF-Hydro Modeling System for Flood Forecasting in the Oueme River (West Africa)
    Quenum, Gandome Mayeul Leger Davy
    Arnault, Joel
    Klutse, Nana Ama Browne
    Zhang, Zhenyu
    Kunstmann, Harald
    Oguntunde, Philip G.
    WATER, 2022, 14 (08)
  • [4] Improving streamflow prediction in the WRF-Hydro model with LSTM networks
    Cho, Kyeungwoo
    Kim, Yeonjoo
    JOURNAL OF HYDROLOGY, 2022, 605
  • [5] Enhancing the Structure of the WRF-Hydro Hydrologic Model for Semiarid Environments
    Lahmers, Timothy M.
    Gupta, Hoshin
    Castro, Christopher L.
    Gochis, David J.
    Yates, David
    Dugger, Aubrey
    Goodrich, David
    Hazenberg, Pieter
    JOURNAL OF HYDROMETEOROLOGY, 2019, 20 (04) : 691 - 714
  • [6] Coupling WRF with HEC-HMS and WRF-Hydro for flood forecasting in typical mountainous catchments of northern China
    Jam-Jalloh, Sheik Umar
    Liu, Jia
    Wang, Yicheng
    Liu, Yuchen
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2024, 24 (09) : 3155 - 3172
  • [7] Potential of the Coupled WRF/WRF-Hydro Modeling System for Flood Forecasting in the Ouémé River (West Africa)
    Quenum, Gandomè Mayeul Leger Davy
    Arnault, Joël
    Klutse, Nana Ama Browne
    Zhang, Zhenyu
    Kunstmann, Harald
    Oguntunde, Philip G.
    Water (Switzerland), 2022, 14 (08):
  • [8] Flood modeling of a large transboundary river using WRF-Hydro and microwave remote sensing
    Dubey, Amit Kumar
    Kumar, Prashant
    Chembolu, Vinay
    Dutta, Subashisa
    Singh, Raghavendra P.
    Rajawat, Ajay Singh
    JOURNAL OF HYDROLOGY, 2021, 598
  • [9] WRF/WRF-Hydro coupled streamflow forecasting based on real-time updating using LSTM
    Liu Y.
    Liu J.
    Liu L.
    Li C.
    Wang Y.
    Shuili Xuebao/Journal of Hydraulic Engineering, 2023, 54 (11): : 1334 - 1346
  • [10] The Role of Parameterizations and Model Coupling on Simulations of Energy and Water Balances - Investigations With the Atmospheric Model WRF and the Hydrologic Model WRF-Hydro
    Sofokleous, I.
    Bruggeman, A.
    Camera, C.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2024, 129 (08)