An Integrated Modelling Approach for Flood Simulation in the Urbanized Qinhuai River Basin, China
Runjie Li,
Jinkang Du,
Guodong Bian,
Yuefeng Wang,
Changchun Chen,
Xueliang Zhang,
Maohua Li,
Shanshan Wang,
Senyao Wu,
Shunping Xie,
Long Yang () and
Chong-Yu Xu
Additional contact information
Runjie Li: Nanjing University
Jinkang Du: Nanjing University
Guodong Bian: Wuhan University
Yuefeng Wang: Chongqing Normal University
Changchun Chen: Nanjing University of Information Science and Technology
Xueliang Zhang: Nanjing University
Maohua Li: Nanjing University
Shanshan Wang: Nanjing University
Senyao Wu: Nanjing University
Shunping Xie: Nanjing University
Long Yang: Nanjing University
Chong-Yu Xu: University of Oslo
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2020, vol. 34, issue 13, No 2, 3967-3984
Abstract:
Abstract The accurate simulation and prediction of flood response in urbanized basins remains a great challenge due to the spatial and temporal heterogeneities in land surface properties. We hereby propose an integrated modelling approach that consists of a semi-distributed conceptual hydrological model and a novel parameterization strategy. The modelling approach integrates the Xinanjiang (XAJ) model, Taihu Basin (TB) model, and Nash instantaneous unit hydrograph (IUH) into a framework. Model parameters are calibrated by optimizing their relationships with corresponding physical factors. The proposed modelling approach is applied in the Qinhuai River basin (QRB), China. The modelling approach shows satisfactory performance in flood simulation both for calibration and validation of flood events in the QRB. The approach has temporal and spatial prediction capability by using the established relationships between parameter values and physical factors. Robustness analysis reveals that the different sets of flood events used for parameter relationship calibration led to similar model performance. Numerical experiments show that impervious coverage poses strong influences on the model performance and needs to be considered in flood routing simulations for small- or medium-intensity flood events.
Keywords: Urbanization; Hydrological model; Model calibration; Flood response; Parameter estimation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11269-020-02614-4 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:34:y:2020:i:13:d:10.1007_s11269-020-02614-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269
DOI: 10.1007/s11269-020-02614-4
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 ().