Frequency analysis of droughts using the Plackett copula and parameter estimation by genetic algorithm

By Songbai Song, Vijay P. Singh. 2010

161 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/5e6411862388821ae38cb4d8ffe3b263eab720b6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Shenglian Guo
2. M. Janga Reddy
3. Lu Chen
4. Vijay P. Singh
5. A. Fakheri‐Fard
6. Y. Dinpashoh
7. Rasoul Mirabbasi
8. F. Tosunoğlu

In Ocean Engineering

1. Lu Chen
2. Shenglian Guo
3. M. Janga Reddy
4. A. Fakheri‐Fard
5. Y. Dinpashoh
6. Rasoul Mirabbasi
7. Jichun Wu
8. Vijay P. Singh

Citations in the corpus

• Evaluating the Three Methods of Goodness of Fit Test for Frequency Analysis (2015, background): “Published by Atlantis Press Copyright: the authors Song and Singh (2010) analyzed the joint probability distribution of different hydrological periods in the Wei River basin, China.”
• Multivariate modeling of droughts using copulas and meta-heuristic methods (2014, methodology): “Song and Singh (2010a) modeled bivariate joint probability distribution of drought properties in Texas using the metaelliptical class of copulas and found meta-Gaussian and tcopula performed satisfactorily in modeling the dependence.”
• Copulas and Its Application in Hydrology and Water Resources (2018, methodology): “…et al. 2006; Zhang and Singh 2006, 2007b; Renard and Lang 2007; Xiao et al. 2009), drought frequency analysis (Shiau 2006; Kao and Govindaraju 2010; Song and Singh 2010), sea storm analysis (Michele et al. 2007), streamflow simulation (Chen et al. 2015), and some other theoretical analyses of…”
• Bivariate drought frequency analysis using the copula method (2012, methodology): “…denotes the conditional return period for S given D≥d. Joint and conditional return periods of drought duration and severity are used by water resources managers and engineers as a hydraulic design criterion and provide useful information for evaluating risk (Shiau 2006; Song and Singh 2010a, b).”
• Risk Assessment of Droughts in Gujarat Using Bivariate Copulas (2012, unknown): “Song and Singh (2010) modeled joint probability distribution of drought duration, severity and inter-arrival time of drought using trivariate Plackett copula for a case study in China.”