EconPapers    
Economics at your fingertips  
 

Improving the flood forecasting capability of the Xinanjiang model for small- and medium-sized ungauged catchments in South China

Junfu Gong (), Cheng Yao (), Zhijia Li (), Yuanfang Chen (), Yingchun Huang () and Bingxing Tong ()
Additional contact information
Junfu Gong: Hohai University
Cheng Yao: Hohai University
Zhijia Li: Hohai University
Yuanfang Chen: Hohai University
Yingchun Huang: Hohai University
Bingxing Tong: Hohai University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 106, issue 3, No 16, 2077-2109

Abstract: Abstract Prediction in ungauged basins (PUB) is as crucial as it is challenging. Thus far, there have been abundant regionalization studies on PUB, whereas "regionalization" is the main research method. In order to estimate Xinanjiang model parameters in ungauged areas and improve the accuracy of flood simulation for small and medium-sized ungauged catchments, the Xinanjiang model was applied on 33 mountainous small- and medium-sized catchments in south China. This study investigated the relative benefits of traditional regionalization methods (physical similarity and parameter regression) and physically consistent parameter estimation method. The latter can directly estimate three sensitive parameters of the Xinanjiang model without the need of regionalization. In addition, the effect of the number of donor catchments was addressed. The results show that the prediction accuracy of the traditional regionalization methods did not obtain satisfactory prediction results. However, the integrated schemes, which combine the regionalization methods with physically consistent methods, performed considerably better than the traditional regionalization methods, indicating that directly performing a parameter estimation from underlying surface data of ungauged catchments can improve the transferability of the Xinanjiang model in these catchments. On the other hand, the best accuracy was obtained when the number of donor catchments was equal to five in the integrated schemes. The integrated parameter estimation schemes proposed in this study support more effective hourly flood event simulation for small- and medium-sized ungauged catchments in southern China.

Keywords: Flood simulation; Xinanjiang model; Small and medium-sized ungauged catchments; South china; Regionalization; Physically consistent methods (search for similar items in EconPapers)
Date: 2021
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/s11069-021-04531-0 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:nathaz:v:106:y:2021:i:3:d:10.1007_s11069-021-04531-0

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-021-04531-0

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:nathaz:v:106:y:2021:i:3:d:10.1007_s11069-021-04531-0