Assessment of the Joint Impact of Rainfall Characteristics on Urban Flooding and Resilience Using the Copula Method

Kun Xie, Yanfeng He, Jong-Suk Kim, Sun-Kwon Yoon, Jie Liu, Hua Chen (), Jung Hwan Lee, Xiang Zhang and Chong-Yu Xu
Additional contact information
Kun Xie: Wuhan University
Yanfeng He: Wuhan University
Jong-Suk Kim: Wuhan University
Sun-Kwon Yoon: Seoul Institute of Technology
Jie Liu: Wuhan University
Hua Chen: Wuhan University
Jung Hwan Lee: K-Water Research Institute
Xiang Zhang: Wuhan University
Chong-Yu Xu: University of Oslo

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2023, vol. 37, issue 4, No 15, 1765-1784

Abstract: Abstract The performance of urban drainage system (UDS) and green infrastructures (GI) significantly depends on the accurate determination of the rainfall characteristics of an urban area, especially because these rainfall characteristic variables are closely related. A bivariate copula method is used to evaluate and compare the joint impact of rainfall depth and duration on the hydrological performance of UDS and GI by considering the dependent structure of flood drivers. The peak flow, peak flow occurrence time, outflow, runoff coefficient, overflow, and resilience serve as the performance indicators. The estimated joint probability based on the optimal copula is used to define the boundary conditions for the calibrated Storm Water Management Model to simulate the hydrological process and the magnitude of floods caused by various combination of rainfall depth and durations. Results demonstrate that considering the dependence structure of rainfall characteristics, especially for the peak flow, runoff coefficient, and overflow, is critical for the comprehensive evaluation of the performance of the UDS. Neglecting the interaction between flood drivers can lead to overestimating the performance of UDS and GI in mitigating urban flood risk. The GI can effectively reduce urban flood and improve resilience, which varies with rainfall characteristics. Our results suggest that the utilization of accurate data on rainfall characteristics enhances the performance of the GI in flood mitigation and resilience improvement.

Keywords: Copula model; Green infrastructure; Resilience; Urban flood; Urban drainage system (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s11269-023-03453-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:37:y:2023:i:4:d:10.1007_s11269-023-03453-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-023-03453-9

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().