2016
DOI: 10.1016/j.advwatres.2016.08.015
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Ensemble urban flood simulation in comparison with laboratory-scale experiments: Impact of interaction models for manhole, sewer pipe, and surface flow

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Cited by 43 publications
(24 citation statements)
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“…The urban flood model, which was used to reanalyze the temporal evolution of the inundation, was based on 2D dynamic wave equations [19] as follows:…”
Section: Urban Flood Model and Validation Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…The urban flood model, which was used to reanalyze the temporal evolution of the inundation, was based on 2D dynamic wave equations [19] as follows:…”
Section: Urban Flood Model and Validation Methodsmentioning
confidence: 99%
“…For solving these governing equations numerically, finite difference discretization was utilized with the leapfrog method. The details of the numerical scheme and stability conditions can be found in [19]. The values of α and n were set differently with respect to the types of land covers, as shown in Table 1.…”
Section: Urban Flood Model and Validation Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Few research has been reported on effects of manhole surcharge on gully flow. Noh et al (2016) used scaled urban drainage model along with Monte-Carlo simulations to estimate discharge coefficients between different sewer network components. But the research did not consider other structural elements such as manhole types and surcharge heights corresponding to the height of gully as these are responsible for different coefficient values.…”
Section: Introductionmentioning
confidence: 99%
“…More recently, Chang et al [23] developed a "novel approach" to represent flow interactions between storm sewer system and overland surface flows. Noh et al [26] compared urban flood modelling approaches with results obtained in laboratory scale experiments for the interaction of manholes, sewer pipes and surface flows. These examples show that this matter is still a current modelling challenge.…”
Section: Urban Drainage Modellingmentioning
confidence: 99%