Copulas and their Applications in Water Resources Engineering
By Lan Zhang, Vijay P. Singh. 2019
92 citations recorded by the source corpus.
Complex environmental and hydrological processes are characterized by more than one correlated random variable. These events are multivariate and their treatment requires multivariate frequency analysis. Traditional analysis methods are, however, too restrictive and do not apply in many cases. Recent years have therefore witnessed numerous applications of copulas to multivariate hydrologic frequency analyses. This book describes the basic concepts of copulas and outlines current trends and developments in copula methodology and applications. It includes an accessible discussion of the methods alongside simple step-by-step sample calculations. Detailed case studies with real-world data are included, and are organized based on applications, such as flood frequency analysis and water quality analysis. Illustrating how to apply the copula method to multivariate frequency analysis, engineering design, and risk and uncertainty analysis, this book is ideal for researchers, professionals, and graduate students in hydrology and water resources engineering.
Subfields: Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/85bbc958c0cd58236d4c7a69a66da5056c599eeb
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In Global and Planetary Change
Citations in the corpus
- Agricultural Drought Prediction Based on Conditional Distributions of Vine Copulas (2021, methodology): “…linear, nonlinear, and tail dependences) and have been employed in streamflow and flood forecasting (Bevacqua et al., 2017; Liu et al., 2015, 2018; Zhang & Singh, 2019), change-point detection (Xiong et al., 2015), drought indicator construction (Feng et al., 2020; Kao & Govindaraju, …”