Liu Suxia1; Mo Xingguo2; Xia Jun1; Liu Changming1; Lin Zhanghui2; Men Baohui1; Ji Lina1
Source Publicationjournalofgeographicalsciences
AbstractUnder the assumptions of triangular cross section channel and uniform stable flow, an analytical solution of the minimum ecological in-stream flow requirement (MEIFR) is deduced. Based on the analytical solution, the uncertainty of the wetted perimeter method is analyzed by comparing the two techniques for the determination of the critical point on the relationship curve between wetted perimeter, P and discharge, Q. It is clearly shown that the results of MEIFR based on curvature technique (corresponding to the maximum curvature) and slope technique (slope being 1) are significantly different. On the P-Q curve, the slope of the critical point with the maximum curvature is 0.39 and the MEIFR varied prominently with the change of the slope threshold. This indicates that if a certain value of the slope threshold is not available for slope technique, curvature technique may be a better choice. By applying the analytical solution of MEIFR in the losing rivers of the Western Route South-to-North Water Transfer Project in China, the MEIFR value via curvature technique is 2.5%-23.7% of the multi-year average annual discharge, while that for slope technique is 11%-105.7%. General conclusions would rely on the more detailed research for all kinds of cross-sections.
Document Type期刊论文
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Liu Suxia,Mo Xingguo,Xia Jun,et al. estimatingtheminimuminstreamflowrequirementsviawettedperimetermethodbasedoncurvatureandslopetechniques[J]. journalofgeographicalsciences,2006,016(002):242.
APA Liu Suxia.,Mo Xingguo.,Xia Jun.,Liu Changming.,Lin Zhanghui.,...&Ji Lina.(2006).estimatingtheminimuminstreamflowrequirementsviawettedperimetermethodbasedoncurvatureandslopetechniques.journalofgeographicalsciences,016(002),242.
MLA Liu Suxia,et al."estimatingtheminimuminstreamflowrequirementsviawettedperimetermethodbasedoncurvatureandslopetechniques".journalofgeographicalsciences 016.002(2006):242.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu Suxia]'s Articles
[Mo Xingguo]'s Articles
[Xia Jun]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu Suxia]'s Articles
[Mo Xingguo]'s Articles
[Xia Jun]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu Suxia]'s Articles
[Mo Xingguo]'s Articles
[Xia Jun]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.