2018
DOI: 10.1016/j.spasta.2017.12.002
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Clustering of concurrent flood risks via Hazard Scenarios

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Cited by 24 publications
(19 citation statements)
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“…They were regionalized using a simple linear model which led to an acceptable performance. However, more sophisticated regionalization techniques such as the use of nonlinear regression techniques (Brunner et al, 2018a), the use of the region of influence approach (Hosking and Wallis, 1997), or the copula-based clustering algorithm proposed by Pappadà et al (2018) could be applied if the marginal distributions were of particular interest and if a larger dataset was available. Alternatively, new regionalization techniques based on catchment similarity in terms of empirical copulas (Grimaldi et al, 2016) could be developed.…”
Section: Discussionmentioning
confidence: 99%
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“…They were regionalized using a simple linear model which led to an acceptable performance. However, more sophisticated regionalization techniques such as the use of nonlinear regression techniques (Brunner et al, 2018a), the use of the region of influence approach (Hosking and Wallis, 1997), or the copula-based clustering algorithm proposed by Pappadà et al (2018) could be applied if the marginal distributions were of particular interest and if a larger dataset was available. Alternatively, new regionalization techniques based on catchment similarity in terms of empirical copulas (Grimaldi et al, 2016) could be developed.…”
Section: Discussionmentioning
confidence: 99%
“…The Gumbel copula belongs both to the class of Archimedean and extreme value copulas. It allows for upper tail dependence (Poulin et al, 2007).…”
Section: Copula Modelsmentioning
confidence: 99%
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“…Storms and cyclones were also clustered, which can be a triggering factor for extreme floods [31,32]. Flood clustering is reported in some new research [28,[33][34][35][36][37], but they mainly worked on extreme floods and some rare research is assessed the simultaneous floods [38], which is a flood risks clustering based on hazard scenarios.…”
Section: Introductionmentioning
confidence: 98%