Developing a dual entropy-transinformation criterion for hydrometric network optimization based on information theory and copulas

Volume: 180, Pages: 108813 - 108813
Published: Jan 1, 2020
Abstract
Hydrometric information collected by monitoring networks is fundamental for effective management of water resources. In recent years, entropy-based multi-objective criterions have been developed for the evaluation and optimization of hydrometric networks, and copula functions have been frequently used in hydrological frequency analysis to model multivariate dependence structures. This study developed a dual entropy-transinformation criterion...
Paper Details
Title
Developing a dual entropy-transinformation criterion for hydrometric network optimization based on information theory and copulas
Published Date
Jan 1, 2020
Volume
180
Pages
108813 - 108813
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