2024
DOI: 10.5194/nhess-24-873-2024
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Flash flood detection via copula-based intensity–duration–frequency curves: evidence from Jamaica

Dino Collalti,
Nekeisha Spencer,
Eric Strobl

Abstract: Abstract. Extreme rainfall events frequently cause hazardous floods in many parts of the world. With growing human exposure to floods, studying conditions that trigger floods is imperative. Flash floods, in particular, require well-defined models for the timely warning of the population at risk. Intensity–duration–frequency (IDF) curves are a common way to characterize rainfall and flood events. Here, the copula method is employed to model the dependence between the intensity and duration of rainfall events fl… Show more

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Cited by 3 publications
(1 citation statement)
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“…As discussed in the Introduction, many approaches have been used to define flood risk drivers, including a hazard, vulnerability, and capacity (HVC) approach (Müller, 2013;Collalti et al, 2024;Ariyani et al, 2022); an exposure risk approach (Wang et al, 2023); a resilient component approach, i.e. absorptive capacity, adaptive capacity, and trans- formative capacity (Pandey et al, 2023); an integrated climate change adaptation (CCA) and disaster risk reduction approach (Booth et al, 2020); and integrated water resource management (IWRM; Zeitoun et al, 2013).…”
Section: Flood Risk Driver Frameworkmentioning
confidence: 99%
“…As discussed in the Introduction, many approaches have been used to define flood risk drivers, including a hazard, vulnerability, and capacity (HVC) approach (Müller, 2013;Collalti et al, 2024;Ariyani et al, 2022); an exposure risk approach (Wang et al, 2023); a resilient component approach, i.e. absorptive capacity, adaptive capacity, and trans- formative capacity (Pandey et al, 2023); an integrated climate change adaptation (CCA) and disaster risk reduction approach (Booth et al, 2020); and integrated water resource management (IWRM; Zeitoun et al, 2013).…”
Section: Flood Risk Driver Frameworkmentioning
confidence: 99%