Copulas and Its Application in Hydrology and Water Resources

• Main Authors: Chen, Lu (Author, http://id.loc.gov/vocabulary/relators/aut), Guo, Shenglian (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Springer Water,
• Subjects: Engineering geology.; Engineering-Geology.; Foundations.; Hydraulics.; Hydrology.; Statistics .; Geoengineering, Foundations, Hydraulics.; Hydrology/Water Resources.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
• Physical Description: X, 290 p. 87 illus., 73 illus. in color. online resource.
• ISBN: 9789811305740
• ISSN: 2364-6934
• DOI: 10.1007/978-981-13-0574-0

This book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas. In addition, it extends the traditional bivariate model to trivariate or multivariate models. The specific applications covered include the study of flood frequency analysis, drought frequency analysis, dependence analysis, flood coincidence risk analysis and statistical simulation using copulas. The book offers a valuable guide for researchers, scientists and engineers working in hydrology and water resources, and will also benefit graduate or doctoral students with a basic grasp of copula functions who want to learn about the latest research developments in the field.