Risk Assessment of Droughts in Gujarat Using Bivariate Copulas

By Poulomi Ganguli, M. Janga Reddy. Water resources management, 2012

119 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/df3872abf6c6622af897f96525b33906ffcb20c5

How researchers see this paper

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In Ecology, Evolution, Behavior and Systematics

1. Matjaz Mikos
2. Mojca Šraj
3. Nejc Bezak
4. İ. Can
5. F. Tosunoğlu

In Global and Planetary Change

1. Mojca Šraj
2. Nejc Bezak
3. Foo Hui-Mean
4. Matjaz Mikos
5. Z. Yusof
6. Fadhilah Yusof
7. J. Suhaila
8. İ. Can

Citations in the corpus

• Trivariate Frequency Analyses of Peak Discharge, Hydrograph Volume and Suspended Sediment Concentration Data Using Copulas (2014, methodology): “Copulas have been used for modelling droughts (Wong et al. 2010; Ganguli and Reddy 2012; Ma et al. 2013; Yusof et al. 2013), to check adequacy of dam spillway (De Michele et al. 2005), for flood coincidence risk analyses (Chen et al. 2012), for rainfall analyses (Zhang and Singh 2007a; Balistrocchi…”
• Application of copulas for regional bivariate frequency analysis of meteorological droughts in Turkey (2016, methodology): “To determine the most appropriate copula for joint distribution of the drought variables, Akaike information criterion (AIC) is often applied (Song and Singh 2010; Ganguli and Reddy 2012; Li et al. 2015).”
• Characterisation of Drought Properties with Bivariate Copula Analysis (2013, background): “Drought is also a multivariate phenomenon, characterised by severity, duration, intensity and mutual correlation between variables (Ganguli and Reddy 2012).”