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Water Resources Research

Modeling multisite streamflow dependence with maximum entropy copula

Authors

  • Z. Hao,

    Corresponding author
    1. Department of Biological and Agricultural Engineering, Texas A&M University, College Station, Texas, USA
    • Corresponding author: Z. Hao, Department of Biological and Agricultural Engineering, Texas A&M University, 2117 TAMU, College Station, TX 77843-2117, USA. (hzc07@tamu.edu)

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  • V. P. Singh

    1. Department of Biological and Agricultural Engineering, Texas A&M University, College Station, Texas, USA
    2. Department of Civil and Environmental Engineering, Texas A&M University, College Station, Texas, USA
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Abstract

[1] Synthetic streamflows at different sites in a river basin are needed for planning, operation, and management of water resources projects. Modeling the temporal and spatial dependence structure of monthly streamflow at different sites is generally required. In this study, the maximum entropy copula method is proposed for multisite monthly streamflow simulation, in which the temporal and spatial dependence structure is imposed as constraints to derive the maximum entropy copula. The monthly streamflows at different sites are then generated by sampling from the conditional distribution. A case study for the generation of monthly streamflow at three sites in the Colorado River basin illustrates the application of the proposed method. Simulated streamflow from the maximum entropy copula is in satisfactory agreement with observed streamflow.

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