2017
DOI: 10.1556/606.2017.12.2.9
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Flash flood mitigation modeling — case study small Carpathians

Abstract: Flash floods are becoming a phenomenon that troubles people more and more often in many Slovak under-mountain regions and society needs to deal with these extreme natural events. This article is showing an example of mathematical modeling of flood protection measures in Small Carpathians region. To secure flood protection, detention reservoirs have been proposed, because of their automatic function that is important due to rapid progress of flash floods. As a base for this project a previous work that attempte… Show more

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Cited by 10 publications
(5 citation statements)
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“…Therefore, flood situations also occur in areas that previously were not affected by these HYDROLOGICAL-HYDRAULIC ASSESSMENT OF FLOOD PROTECTION 99 Pollack Periodica 14, 2019, 3 negative hydrological phenomena (flooding of the rural and the urban areas, cellars of the houses, etc. ), evident from previous solved projects [4]- [6].…”
Section: Methodsmentioning
confidence: 70%
“…Therefore, flood situations also occur in areas that previously were not affected by these HYDROLOGICAL-HYDRAULIC ASSESSMENT OF FLOOD PROTECTION 99 Pollack Periodica 14, 2019, 3 negative hydrological phenomena (flooding of the rural and the urban areas, cellars of the houses, etc. ), evident from previous solved projects [4]- [6].…”
Section: Methodsmentioning
confidence: 70%
“…The importance of detailed information about the characteristics of a rainfall are very important, i.e. an extreme rainfall event [24], [25], [26], [27].…”
Section: Fig 4 the Intensity Of The Net Erosion In The Svacenický Cmentioning
confidence: 99%
“…Although stochastic models ensure that certain levels of unpredictability and uncertainties exist in inflow hydrographs that pass through the detention basins, which are significant in combating the risks of floods [42][43][44][45], they have received little attention in the literature. Moreover, stochastic models are more beneficial for designing detention basins than deterministic models because they supplement uncertainties inherent in natural flood events since floods are stochastic processes [46][47][48]. Considering uncertainties inherent in the system, a commendable optimization algorithm, the so-called non-dominated sorting genetic algorithm-III (NSGA-III), can efficiently model complicated hydrological systems such as detention basins and their sub-structures during floods using efficacious uncertainty assessment techniques, namely conditional value-at-risk (CVaR) and non-linear interval number programming (NINP) approaches.…”
Section: Introductionmentioning
confidence: 99%