Multivariate Copula-Based Joint Probability Distribution of Water Supply and Demand in Irrigation District-Reference-Cited by-同舟云学术

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Multivariate Copula-Based Joint Probability Distribution of Water Supply and Demand in Irrigation District

Published:2016-03-19 Issue:7 Volume:30 Page:2361-2375
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Zhang Jinping,Lin Xiaomin,Guo Bingtuo

Funder

National Natural Sciences Foundation of China

Key Scientific Research Project in University of Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11269-016-1293-y.pdf

Reference42 articles.

1. Ariff NM, Jemain AA, Ibrahim K, Wan Zin WZ (2012) IDF relationships using bivariate copula for storm events in Peninsular Malaysia. J Hydrol 470–471(12):158–171

2. Dalezios NR, Loukas A, Vasiliades L, Liakopoulos E (2000) Severity-duration –frequency analysis of droughts and wet periods in Greece. Hydrol Sci J 45(5):751–770

3. Durocher M, Chebana F, Ouarda Taha BMJ (2016) On the prediction of extreme flood quantiles at ungauged locations with spatial copula. J Hydrol 533:523–532

4. Fan YR, Huang WW, Huang GH, Li YP, Huang K, Li Z (2016) Hydrologic risk analysis in the Yangtze River basin through coupling Gaussian mixtures into copulas. Adv Water Resour 88:170–185

5. Feng J, Yan DH, Li CHZH, Yu FL, Zhang CH (2014) Assessing the impact of climatic factors on potential evapotranspiration in droughts in North China. Quat Int 336(26):6–12

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