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

Weitian Chen; Huan Wu; John S. Kimball; Lorenzo Alfieri; Nergui Nanding; Xiaomeng Li; Lulu Jiang; Wei Wu; Yingchun Tao; Shihu Zhao; Wenting Zhong

doi:10.1029/2021WR031709

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

Weitian Chen, Huan Wu, John S. Kimball, Lorenzo Alfieri, Nergui Nanding, Xiaomeng Li, Lulu Jiang, Wei Wu, Yingchun Tao, Shihu Zhao, Wenting Zhong

Numerical Terradynamic Simulation Group

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

Abstract

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.

Original language	English
Article number	e2021WR031709
Journal	Water Resources Research
Volume	58
Issue number	11
DOIs	https://doi.org/10.1029/2021WR031709
State	Published - Nov 2022

Funding

This study was supported by the National Natural Science Foundation of China (Grants: 42088101, 41775106, 41861144014, and U1811464), and the National Key R&D Program of China (Grant: 2017YFA0604300), also partially supported by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (Grant: 2017ZT07X355) and the Key R&D Program of Guangxi (Guike AB21075008). The authors thank the Haikou Meteorological Bureau, Hainan, China for providing rainfall data from China Integrated Meteorological Information Service System, landuse data, and drainage system data. The authors also thank the anonymous reviewers for their constructive suggestions. This study was supported by the National Natural Science Foundation of China (Grants: 42088101, 41775106, 41861144014, and U1811464), and the National Key R&D Program of China (Grant: 2017YFA0604300), also partially supported by the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (Grant: 2017ZT07X355) and the Key R&D Program of Guangxi (Guike AB21075008). The authors thank the Haikou Meteorological Bureau, Hainan, China for providing rainfall data from China Integrated Meteorological Information Service System, landuse data, and drainage system data. The authors also thank the anonymous reviewers for their constructive suggestions.

Funders	Funder number
2017ZT07X355
National Natural Science Foundation of China	41861144014, 41775106, U1811464, 42088101
2017YFA0604300
AB21075008

Keywords

DRIVE
SWMM
river basin
street inundation
urban drainage
urban flooding

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10.1029/2021WR031709

Cite this

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

abstract = "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.",

keywords = "DRIVE, SWMM, river basin, street inundation, urban drainage, urban flooding",

author = "Weitian Chen and Huan Wu and Kimball, \{John S.\} and Lorenzo Alfieri and Nergui Nanding and Xiaomeng Li and Lulu Jiang and Wei Wu and Yingchun Tao and Shihu Zhao and Wenting Zhong",

note = "Publisher Copyright: {\textcopyright} 2022. The Authors.",

year = "2022",

month = nov,

doi = "10.1029/2021WR031709",

language = "English",

volume = "58",

journal = "Water Resources Research",

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AU - Chen, Weitian

AU - Wu, Huan

AU - Kimball, John S.

AU - Alfieri, Lorenzo

AU - Nanding, Nergui

AU - Li, Xiaomeng

AU - Jiang, Lulu

AU - Wu, Wei

AU - Tao, Yingchun

AU - Zhao, Shihu

AU - Zhong, Wenting

PY - 2022/11

Y1 - 2022/11

N2 - 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.

AB - 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.

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KW - urban drainage

KW - urban flooding

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

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