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Uncertainty quantification and propagation in bivariate design flood estimation using a Bayesian information-theoretic approach

  • Published:2020-05 Issue: Volume:584 Page:124677
  • ISSN:0022-1694
  • Container-title:Journal of Hydrology
  • language:en
  • Short-container-title:Journal of Hydrology

Author:

Guo AijunORCID,Chang JianxiaORCID,Wang Yimin,Huang Qiang,Li Yunyun

Funder

National Natural Science Foundation of China

Key Laboratory of science and technology innovation project of Shaanxi Province

Teachers' Doctoral Research Initiation Fund in Xi’an University of Technology

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference51 articles.

1. Geostatistical interpolation using copulas;Bárdossy;Water Resour. Res.,2008

2. Geomorphic diversity of rivers in the upper yellow river basin;Brierley,2016

3. Agricultural water productivity assessment for the Yellow River Basin;Cai;Agr. Water. Manage.,2011

4. Bayesian uncertainty analysis with applications to turbulence modeling;Cheung;Reliab. Eng. Syst Safe.,2011

5. Reducing uncertainty in estimates of frequency distribution parameters using composite likelihood approach and copula-based bivariate distributions;Chowdhary;Water Resour. Res.,2010
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