Copulas and Its Application in Hydrology and Water Resources

Häftad, Engelska, 2018

Av Lu Chen, Shenglian Guo

2 239 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Inbunden

2 239 kr

Skickas inom 10-15 vardagar

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.

Produktinformation

Utgivningsdatum2018-12-29
Mått155 x 235 x 20 mm
Vikt470 g
FormatHäftad
SpråkEngelska
SerieSpringer Water
Antal sidor290
FörlagSpringer Verlag, Singapore
ISBN9789811344541

Tillhör följande kategorier

Dr. CHEN Lu is an Associate Professor (11/2015–present) Huazhong University of Science and Technology, Wuhan, China. She holds the Ph.D. in Hydrology and water resources from Wuhan University. Her Research Interests include:-Copula-based modelling;-Entropy-based modeling;-Stochastic modeling;-Streamflow forecasting;-Hydrology modelling;Her research projects include:-Risk analysis of multi-reservoir flood control operation considering multiple uncertainties (financially supported by National Natural Science Foundation of China)-Design flood and risk analysis for Cascade reservoir systems. (financially supported by National Natural Science Foundation of China)-Flood coincidence risk analysis in cascade reservoir systems and its impact on downstream area. (financially supported by Natural Science Foundation of Hubei province)Professor GUO Shenglian is a professor at Dept. of Hydrology and Water Resources Engineering, Wuhan University. Since 2005, he is Vice Governor, People’s Government of Hubei Province.

Introduction.- Copula function.- Copula-based seasonal design flood calculation.- Drought analysis using copulas.- Copula-based flood coincidence risk analysis.- Copula-based multi-site streamflow simulation.- Copula-based forecast uncertainty evolution model for flood risk analysis.- Copula entropy.- Determination of input for Artificial Neural Networks for flood forecasting using the copula entropy method.- Measures of correlations among rivers using copula entropy.