Copula‐based geostatistical models for groundwater quality parameters

By András Bárdossy. 2006

294 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5be242f23bdb64af1c6763f142ba31cbe3d635a8

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In Economics and Econometrics

In Environmental Engineering

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Citations in the corpus

Modeling the spatial dependence of floods using the Fisher copula (2019, methodology): “The chi-square copulas introduced by Bárdossy (2006) are radially asymmetric, but their tail dependence coefﬁcients are null.”
Probabilistic modeling of flood characterizations with parametric and minimum information pair-copula model (2016, methodology): “The predictive accuracy of the spatial vine copula outperforms other spatial multivariate copulas, including spatial Gaussian copula which used to be a very common method (as suggested by Bárdossy, 2006).”
Estimation of the distribution of annual runoff from climatic variables using copulas (2014, methodology): “Copula has been widely used in hydrology [De Michele and Salvadori, 2003; Favre et al., 2004; Salvadori and De Michele, 2004, 2007; B ardossy, 2006; Dupuis, 2007], but most applied copulas are bivariate.”
A copula-based joint deficit index for droughts. (2010, background): “…Michele, 2006; Genest et al., 2007; Kao and Govindaraju, 2008), bivariate return periods (Salvadori and De Michele, 2004), groundwater parameters (Bárdossy, 2006), drought frequency analysis (Shiau, 2006), probabilistic structure of storm surface runoff (Kao and Govindaraju, 2007b), multivariate…”
Drought characterization using a new copula-based trivariate approach (2014, background): “…storms (Salvadori and De Michele 2006), frequency analysis of multivariate hydrologic data (Genest et al. 2007), bivariate return periods of hydrologic events (Salvadori and De Michele 2004), groundwater parameters (Bardossy 2006) and fitting drought duration and severity (Shiau 2006) are reported.”
Factor Copula Models for Replicated Spatial Data (2015, methodology): “Bárdossy and Li (2008) advocated a V-transformed copula obtained from a nonmonotonic transformation of multivariate normal variables and Bárdossy (2011) used their copula for modeling and interpolation of asymmetric groundwater data. The chi-squared asymmetric copula of Bárdossy (2006) was obtained ”
Derivation of low flow distribution functions using copulas (2014, background): “(2004), Salvadori and De Michele (2004), and Bardossy (2006). Subsequently, the work of Genest and Favre (2007) and Salvadori and De Michele (2007) provided a general theoretical framework for exploiting copulas for studying hydrological events.”
Modelling skewed spatial random fields through the spatial vine copula (2014, methodology): “The approaches by Bárdossy (2011) and Kazianka and Pilz (2010a) allow only for a single multivariate copula family.”
Bivariate flood frequency analysis using the copula function: a case study of the Litija station on the Sava River (2015, methodology): “…et al., 2005), hyetograph analysis (Grimaldi and Serinaldi, 2006b), flood coincidence risk analysis (Chen et al., 2012), geostatistical models (Bardossy, 2006) and, indeed, flood frequency analysis (Grimaldi and Serinaldi, 2006a; Zhang and Singh, 2006; Renard and Lang, 2007; Zhang and Singh,…”