Articles | Volume 22, issue 10
Research article
05 Oct 2018
Research article |  | 05 Oct 2018

Design water demand of irrigation for a large region using a high-dimensional Gaussian copula

Xinjun Tu, Yiliang Du, Vijay P. Singh, Xiaohong Chen, Kairong Lin, and Haiou Wu

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Cited articles

Abdul Rauf, U. F. and Zeephongsekul, P.: Copula based analysis of rainfall severity and duration: a case study, Theor. Appl. Climatol., 115, 153–166, 2014. 
Aussenegg, W. and Cech, C.: A new copula approach for high-dimensional real world portfolios, Working Paper Series by the University of Applied Sciences bfi Vienna, 68, 1–33,, 2012. 
Barbe, P., Genest, C., Ghoudi, K., and Remillard, B.: On Kendall's process, J. Multivar. Anal., 58, 197–229, 1996. 
Cai, J. B., Liu, Y., Cai, L. Z., and Wu, Y. Y.: A method of determining suitable probability for irrigation project design, Irrig. Drain., 20, 30–31, 2001 (in Chinese). 
Cai, X., Hejazi, M. I., and Wang, D.: Value of probabilistic weather forecasts: assessment by real–time optimization of irrigation scheduling, J. Water Resour. Plann. Manage., 137, 391–403, 2011. 
Short summary
For given frequencies of precipitation of a large region, design water demands of irrigation of the entire region among three methods, i.e., equalized frequency, typical year and most-likely weight function, slightly differed, but their alterations in sub-regions were complicated. A design procedure using the most-likely weight function in association with a high-dimensional copula, which built a linkage between regional frequency and sub-regional frequency of precipitation, is recommended.