Application of Five-element Set Pair Analysis in annual runoff classification in Cheng-bi river basin
In view of the inadequate classification of runoff in present set pair theory,a Five-element Set Pair Analysis Method which comprehensively considered identity,mild,moderate and serious differences and antagonism according to the five-level classification of runoff was established to studythe annual...
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Published in | Guangxi Daxue Xuebao (Ziran Kexue Ban)/Journal of Guangxi University (Natural Science Edition) Vol. 42; no. 1 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
01.01.2017
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Subjects | |
Online Access | Get more information |
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Summary: | In view of the inadequate classification of runoff in present set pair theory,a Five-element Set Pair Analysis Method which comprehensively considered identity,mild,moderate and serious differences and antagonism according to the five-level classification of runoff was established to studythe annual runoff classification in reservoir watershed and compared with the Frequency Analysis and Four-element Set Pair Analysis. The case study shows that the incidence of extra high flow year,high flow year,normal flow year,low flow year and extra low flow year is 4%,9%,45%,33% and9%,respectively. Namely,normal flow year is the majority; that the hydrological extreme year appeared more frequently in the last 23 years than that appeared in the first 22 years,and the extreme hydrological phenomenon under the changing environment reflected in the reservoir watershed basin. The Five-element Set Pair Analysis can fully describe the types of runoff because it comprehensively considered the difference of the Set Pair Analysis theory. Compared with other methods,the Five-element Set Pair Analysis is better in reflecting the actual situation of runoff,and it is worthwhile to be promoted in the analysis and calculation of hydrology and water resources. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 content type line 23 ObjectType-Feature-2 |
ISSN: | 1001-7445 |