Pluvial flooding in urban areas: the role of surface drainage efficiency

Palla, Anna; Colli, Matteo; Candela, Angela; Aronica, Giuseppe Tito; Lanza, Luca G.

doi:10.1111/jfr3.12246

Cited by 82 publications

(49 citation statements)

References 46 publications

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“…Hydrodynamic models include the interaction between overland flows and sewer flows and are usually based on the Saint Venant equations to model flood wave propagation (Ochoa-Rodriguez et al, 2015;Palla et al, 2016;Thorndahl et al, 2016). However, the applicability of hydrodynamic models are hindered by many physical and computational limitations.…”

Section: Approaches To Quantifying Urban Pluvial Flooding Occurrence mentioning

confidence: 99%

“…This data is actually also suitable for hydrodynamic modelling. For example, all hydrodynamic models rely on elevation data to characterize overland flow Van Dijk et al, 2014;Guerreiro et al, 2017;Palla et al, 2016;Thorndahl et al, 2016). Digital Elevation Models (DEM) can be used to delineate urban (sub)watersheds with GIS software to analyze preferential overland flow paths of surface runoff.…”

Section: Approaches To Quantifying Urban Pluvial Flooding Occurrence mentioning

confidence: 99%

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Towards identification of critical rainfall thresholds for urban pluvial flooding prediction based on crowdsourced flood observations

Bouwens

Veldhuis

Schleiss

et al. 2018

Preprint

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Urban drainage systems are challenged by both urbanization and climate change, intensifying urban pluvial flooding impacts. Urban pluvial flooding impacts can be reduced by improving infrastructure and operational urban flood management strategies. This study investigated the relation between heavy rainfall and urban pluvial flooding in Rotterdam with the aim to identify parameters and thresholds that can be used as predictors of urban pluvial 5flooding. The focus of the investigation was on an area of 16 km 2 . Datasets for this research included historical crowdsourced flooding reports, overflow pumping volumes, open spatial data and rainfall data at different temporal and spatial resolutions. Threshold values, (which can be used as part of early warning systems,) were derived from historical flooding data and rainfall depths over sub daily durations. Threshold values of rainfall depth were found to be 6 mm (±3 mm) in 15 min and 11 mm (±6 mm) in 60 min. Surprisingly, the derived thresholds are only 10 approximately half of the theoretical drainage system design capacity. Furthermore, a threshold value of 70% (± 4%) imperviousness was found above which flooding incidents significantly increase. Results also suggested a strong dependence on spatial aggregation scale, as it highly influences correlation coefficients and parameter density values. Elevation differences did not appear to contribute to urban pluvial flooding, based on a flow path analysis for the study area. Finally, we showed that antecedent rainfall does not explain additional variance in 15 reports, meaning it is not an influential urban pluvial flooding predictor, at least not on a daily temporal resolution.

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Section: Approaches To Quantifying Urban Pluvial Flooding Occurrence mentioning

confidence: 99%

Section: Approaches To Quantifying Urban Pluvial Flooding Occurrence mentioning

confidence: 99%

Towards identification of critical rainfall thresholds for urban pluvial flooding prediction based on crowdsourced flood observations

Bouwens

Veldhuis

Schleiss

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…Numerous software programs have been developed which can undertake this analysis, including the U.S. Environmental Protection Agency's SWMM (EPA-SWMM). Researchers with a specific interest in the minor-major system interaction have analysed inlets using less commonly used modeling platforms (Bazin et al 2014, Palla et al 2016). …”

Section: Figure 1 Typical Storm Sewer Systemmentioning

confidence: 99%

Modeling Catchbasins and Inlets in SWMM

Senior

Scheckenberger

Bishop

2018

JWMM

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Early hydrologic and hydraulic numerical modeling of urban drainage systems focused on the minor system (i.e. storm sewer only). Over the past three decades there has been increased interest in the concurrent evaluation of the conveyance capacity of the major system (i.e. overland flow-roadways). More and more, these two systems are being modeled dynamically, using a linked approach known as dual drainage modeling. Dual drainage modeling allows for an improved assessment of the deficiencies in both systems, through integrated assessments which consider the interaction between the two systems.Of key interest in dual drainage models is the representation of inlet capture functions (roadway catchbasins and ditch inlets) since these intrinsically link the two often-parallel flow conveyance systems. The accurate representation of these features is critical, given the potential implications for basement flooding, surface ponding or flooding, and the development of appropriate drainage system designs. This paper describes various methods of modeling these functions and assesses them under different conditions, using models that had been developed for several urban communities. The relative benefits and drawbacks of each method are given and discussed, along with associated considerations for minor and major system design in dual drainage modeling.

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“…As described earlier, the average elevation difference between the initial and adjusted storm drain inlet of 6.9 cm was relatively small, suggesting that together with the 42 storm drain inlets added in surface water accumulation areas, the system drainage performance is quite sensitive to small scale topographical changes and positioning. These issues are also highlighted in other studies [38,39]. …”

Section: Surface/sub-surface Domain Interface: Water Volume Flow In Smentioning

confidence: 77%

Urban Flood Simulation Using Synthetic Storm Drain Networks

Bertsch

Glenis

Kilsby

2017

Water

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Recent developments in urban drainage modelling allow for a more realistic coupling of the two-dimensional (2D) surface and one-dimensional (1D) sub-surface drainage domain exchanging water through storm drain inlets instead of a sub-catchment approach based on manholes. Experience has shown, however, that comprehensive records of storm drain inlet locations are often missing or incomplete, preventing users accessing the full benefit of these modelling capabilities. Therefore, this study developed a GIS routine to generate synthetic storm drain inlet locations for the purpose of urban flood modelling. Hydrodynamic model results for a synthetically generated and surveyed storm drain inlet network were obtained using the CityCAT 1D/2D system. On a catchment scale the flow field (surface and flow captured by inlets) simulated by the network of synthetic storm drainage inlets shows satisfactory results when compared with that simulated using the actual network. The results also highlight the sensitivity of the inflows to relatively small changes in terms of the location of storm drain inlets and the effectiveness of storm drain inlets in ponding areas.

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Pluvial flooding in urban areas: the role of surface drainage efficiency

Cited by 82 publications

References 46 publications

Towards identification of critical rainfall thresholds for urban pluvial flooding prediction based on crowdsourced flood observations

Towards identification of critical rainfall thresholds for urban pluvial flooding prediction based on crowdsourced flood observations

Modeling Catchbasins and Inlets in SWMM

Urban Flood Simulation Using Synthetic Storm Drain Networks

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