International Journal of Computational Intelligence Systems

Volume 7, Issue Supplement 1, January 2014, Pages 18 - 28

Bivariate analysis of typical hydrological series of the yellow river

Authors
Xin Tong, Dong Wang, Jichun Wu, Yuanfang Chen, Xi Chen
Corresponding Author
Xin Tong
Received 14 December 2012, Accepted 1 July 2013, Available Online 1 January 2014.
DOI
10.1080/18756891.2014.853928How to use a DOI?
Keywords
copula, von Mises, the Yellow River, flood analysis, annual runoff
Abstract

This paper uses Gumbel-Hougaard (G-H) copula, Clayton copula and Frank copula to construct joint distributions of hydrological variables of the two typical stations on the Yellow River Region, including the annual maximum flood magnitude (AMFM), the annual maximum flood occurrence date (AMFOD) and the annual runoffs (ARs). The results give the joint distribution between each pair of the variables. Also an isoline of the concurrence return periods between the AMFMs of the two stations was drawn up.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - Supplement 1
Pages
18 - 28
Publication Date
2014/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2014.853928How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Xin Tong
AU  - Dong Wang
AU  - Jichun Wu
AU  - Yuanfang Chen
AU  - Xi Chen
PY  - 2014
DA  - 2014/01/01
TI  - Bivariate analysis of typical hydrological series of the yellow river
JO  - International Journal of Computational Intelligence Systems
SP  - 18
EP  - 28
VL  - 7
IS  - Supplement 1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.853928
DO  - 10.1080/18756891.2014.853928
ID  - Tong2014
ER  -