A Coupled River Basin-Urban Hydrological Model (DRIVE-Urban) for Real-Time Urban Flood Modeling

被引:18
|
作者
Chen, Weitian [1 ,2 ,3 ]
Wu, Huan [1 ,2 ,3 ]
Kimball, John S. [4 ]
Alfieri, Lorenzo [5 ,6 ]
Nanding, Nergui [1 ,2 ,3 ]
Li, Xiaomeng [1 ,2 ,3 ]
Jiang, Lulu [1 ,2 ,3 ]
Wu, Wei [7 ]
Tao, Yingchun [8 ]
Zhao, Shihu [9 ]
Zhong, Wenting [10 ]
机构
[1] Sun Yat Sen Univ, Southern Marine Sci & Engn Lab Zhuhai, Guangzhou, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China
[3] Sun Yat Sen Univ, Guangdong Prov Key Lab Climate Change, Nat Disaster Studies, Guangzhou, Guangdong, Peoples R China
[4] Univ Montana, WA Franke Coll Forestry & Conservat, Numer Terradynam Simulat Grp, Missoula, MT USA
[5] European Commiss, Joint Res Ctr JRC, Disaster Risk Management Unit, Ispra, Italy
[6] CIMA Res Fdn, Savona, Italy
[7] Minist Emergency Management, Natl Disaster Reduct Ctr China, Beijing, Peoples R China
[8] Beijing Inst Surveying & Mapping, Beijing, Peoples R China
[9] MNR, Land Satellite Remote Sensing Applicat Ctr, Beijing, Peoples R China
[10] Haikou Meteorol Serv, Hainan, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
urban flooding; DRIVE; SWMM; street inundation; urban drainage; river basin; LAND-SURFACE; INUNDATION; CITY; PRECIPITATION; RAINFALL; WATER; RISK; MUMBAI; HAZARD;
D O I
10.1029/2021WR031709
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Reliable urban flood modeling is highly demanded in emergency response, risk management, and urban planning related to urban flooding. In this paper, the Storm Water Management Model (SWMM) is adapted to simulate urban rainfall-runoff and pipe drainage processes within the Dominant river tracing-Routing Integrated with VIC Environment (DRIVE) model which accounts for natural river basin runoff generation and routing processes. The integrated DRIVE-SWMM model (referred to as DRIVE-Urban) allows to explicitly delineate the mass-energy interactions between urban drainage system (e.g., pipes and dikes) and river networks. This presents a further step model development for accurate urban flooding prediction which is lacking in existing urban flood models and traditional hydrological models. The validity of the DRIVE-Urban model is evaluated for three case studies in Haikou City, China, with camera observations of street inundation during typhoon landfalls and heavy rainfall events. The results show that the DRIVE-Urban model successfully captures 62%, 69%, and 77% of the total observed inundated road-sections for the three cases respectively. The third case study with severe flooding situation shows that the DRIVE-Urban performance is further improved when given reliable river and tidal level information, indicating the importance of integrating river-basin with urban hydrological and hydraulic modeling.
引用
收藏
页数:19
相关论文
共 50 条
  • [31] Hydrological and hydraulic modeling of an intra-urban river in a transboundary basin using a regional frequency analysis
    Salazar-Briones, Carlos
    Hallack-Alegria, Michelle
    Mungaray-Moctezuma, Alejandro
    Lomeli, Marcelo A.
    Lopez-Lambrano, Alvaro
    Salcedo-Peredia, Adrian
    TECNOLOGIA Y CIENCIAS DEL AGUA, 2018, 9 (04) : 48 - 74
  • [32] Development and Application of an Urban Flood Forecasting and Warning Process to Reduce Urban Flood Damage: A Case Study of Dorim River Basin, Seoul
    Won, Yong-Man
    Lee, Jung-Hwan
    Moon, Hyeon-Tae
    Moon, Young-Il
    WATER, 2022, 14 (02)
  • [33] Real-Time Urban Flood Depth Mapping: Convolutional Neural Networks for Pluvial and Fluvial Flood Emulation
    El Baida, Maelaynayn
    Boushaba, Farid
    Chourak, Mimoun
    Hosni, Mohamed
    WATER RESOURCES MANAGEMENT, 2024, 38 (12) : 4763 - 4782
  • [34] Process-oriented SWMM real-time correction and urban flood dynamic simulation
    Ma, Bingyan
    Wu, Zening
    Hu, Caihong
    Wang, Huiliang
    Xu, Hongshi
    Yan, Denghua
    Soomro, Shan-e-hyder
    JOURNAL OF HYDROLOGY, 2022, 605
  • [35] Investigating the Role of Gate Operation in Real-Time Flood Control of Urban Drainage Systems
    Jafari, Fatemeh
    Mousavi, S. Jamshid
    Yazdi, Jafar
    Kim, Joong Hoon
    HARMONY SEARCH AND NATURE INSPIRED OPTIMIZATION ALGORITHMS, 2019, 741 : 39 - 48
  • [36] FloodEye: Real-time Flash Flood Prediction System for Urban Complex Water Flow
    Hiroi, Kei
    Kawaguchi, Nobuo
    2016 IEEE SENSORS, 2016,
  • [37] Hydrological and Hydraulic Modeling Applied to Flash Flood Events in a Small Urban Stream
    Bruno, Leonardo Souza
    Mattos, Tiago Souza
    Oliveira, Paulo Tarso Sanches
    Almagro, Andre
    Rodrigues, Dulce Buchala Bicca
    HYDROLOGY, 2022, 9 (12)
  • [38] River basin flood adaptation for coastal urban slums. Mithi river basin, Dharavi slum
    Goyal, Anubhav
    Proenca, Sergio Barreiros
    Silva, Maria Matos
    RI VISTA-RICERCHE PER LA PROGETTAZIONE DEL PAESAGGIO, 2023, (01): : 142 - 153
  • [39] A Preliminary Comparison of Hydrodynamic Approaches for Flood Inundation Modeling of Urban Areas in Jakarta Ciliwung River Basin
    Rojali, Aditia
    Budiaji, Abdul Somat
    Pribadi, Yudhistira Satya
    Fatria, Dita
    Hadi, Tri Wahyu
    PROCEEDING OF THE 6TH INTERNATIONAL SYMPOSIUM ON EARTH HAZARD AND DISASTER MITIGATION (ISEDM) 2016, 2017, 1857
  • [40] Real-time monitoring system for urban wastewater
    Di Lecce, Vincenzo
    Petruzzelli, Domenico
    Guaragnella, Cataldo
    Cardellicchio, Angelo
    Dentamaro, Giuseppe
    Quarto, Alessandro
    Soldo, Domenico
    Dario, Rita
    2017 IEEE WORKSHOP ON ENVIRONMENTAL, ENERGY, AND STRUCTURAL MONITORING SYSTEMS (EESMS), 2017, : 36 - 40