Mapping space for water: screening for urban flash flooding

Hankin, Barry; Waller, Simon; Astle, Geoff; Kellagher, R.B.B.

doi:10.1111/j.1753-318x.2008.00003.x

Cited by 45 publications

(35 citation statements)

References 5 publications

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“…Open Multi Processing (Open-MP) and Graphical Processing Unit (GPU), have been applied to speed up 2D inundation modelling (Hankin et al, 2008;Neal et al, 2010). Lamb et al (2009) demonstrated that the GPU application can speed up the inundation modelling more than 100 times compared to the traditional CPU-based model on a standard desktop PC with a little additional hardware investment.…”

Section: Many Parallel Computing Techniques Including Message Passinmentioning

confidence: 99%

A coarse-grid approach to representing building blockage effects in 2D urban flood modelling

Chen

Evans

Djordjević

et al. 2012

Journal of Hydrology

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The latest information and communications technology has enabled flood modelling in urban areas using high quality terrain data to simulate the detailed flow dynamics in local areas. However, the computational cost rises exponentially as the resolution goes finer. The advance of computing hardware is still a limiting factor for large-scale area or risk/uncertainty analysis modelling with fine resolution that describes the details of building features. Grid coarsening is the straightforward way to reduce the computing efforts for 2D flood modelling. The traditional approach to grid coarsening usually takes the average elevation of a fine grid as the new terrain model for the coarse grid. This approach often results in loss of information that introduces errors to modelling. In this study, the building features in coarse grids were abstracted using the building coverage ratio (BCR) and the conveyance reduction factor (CRF) parameters in a 2D model to simulate flooding in urban areas. The outcome of 2D case studies showed the proposed model can minimise the errors due to terrain averaging and provide a much better accuracy of modelling results at a marginally increased computing cost.

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Section: Many Parallel Computing Techniques Including Message Passinmentioning

confidence: 99%

A coarse-grid approach to representing building blockage effects in 2D urban flood modelling

Chen

Evans

Djordjević

et al. 2012

Journal of Hydrology

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“…The quantified RASP (Risk Assessment for System Planning) methodology was also used in the Foresight study (Evans et al, 2004) and has been progressively improved, thanks to improved national datasets. The original RASP methodology did not address surface water flooding in urban areas, but since 2007 there has been a rapid acceleration in risk analysis methods that can analyse flooding from multiple sources in urban areas (Dawson et al, 2008;Falconer et al, 2009;Hankin et al, 2008) in order to inform integrated urban flood risk management.…”

Section: Integrated Systems Approachesmentioning

confidence: 99%

Fluvial flood risk management in a changing world

Merz

Hall

Disse

et al. 2010

Nat. Hazards Earth Syst. Sci.

406

272

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Abstract. Flood risk emerges from the interaction of hazard and vulnerability. Over recent decades the notion of risk being the basis for flood management decisions has become widely accepted and operationalised through the use of models and quantified risk analysis providing the evidence for risk-informed decision making. However, it is now abundantly apparent that changes in time, at a range of scales, of pertinent variables that determine risk are not a second order consideration but, instead, fundamentally challenge the conventional approach to flood risk management. The nature of some of these changes, particularly those that operate on extended timescales, are highly uncertain, yet decisions that may have implications for several decades still have to be taken. In this paper we explore how flood risk management may be adapted to address processes of uncertain future change. We identify a range of levels at which change may be incorporated in decision making: in the representation of uncertain non-stationary quantities; in the rules that are used to identify preferred options; in the variety of options that may be contemplated for flood risk management; in the scope of problem definition, which increasingly extends to address multiple hazards and multiple functions of river basins; and in the social and organizational characteristics that promote adaptive capacity. Integrated responses to changing flood risk need to attend to each of these levels of decision making, from the technicalities of non-stationarity, to the promotion of resilient societies.

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“…Inherently, SWFs are not constrained to areas close to watercourses but can occur practically anywhere in the landscape (Kron, 2009). Consequently, such floods are difficult to document, study and forecast (e.g., Pitt, 2008;Steinbrich et al, 2016) and related data are scarce (e.g., Hankin et al, 2008;Douglas et al, 2010;Blanc et al, 2012;Grahn and Nyberg, 2017). Spekkers et al (2014) mention the lack of data and the impact on small spatial scales as possible explanations why relatively little scientific research has been dedicated to such SWF in comparison to fluvial floods.…”

Section: Introductionmentioning

confidence: 99%

Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time

Bernet

Prasuhn

Weingartner

2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Surface water floods (SWFs) have received increasing attention in the recent years. Nevertheless, we still know relatively little about where, when and why such floods occur and cause damage, largely due to a lack of data but to some degree also because of terminological ambiguities. Therefore, in a preparatory step, we summarize related terms and identify the need for unequivocal terminology across disciplines and international boundaries in order to bring the science together. Thereafter, we introduce a large (n = 63 117), long (10-33 years) and representative (48 % of all Swiss buildings covered) data set of spatially explicit Swiss insurance flood claims. Based on registered flood damage to buildings, the main aims of this study are twofold: First, we introduce a method to differentiate damage caused by SWFs and fluvial floods based on the geographical location of each damaged object in relation to flood hazard maps and the hydrological network. Second, we analyze the data with respect to their spatial and temporal distributions aimed at quantitatively answering the fundamental questions of how relevant SWF damage really is, as well as where and when it occurs in space and time.This study reveals that SWFs are responsible for at least 45 % of the flood damage to buildings and 23 % of the associated direct tangible losses, whereas lower losses per claim are responsible for the lower loss share. The Swiss lowlands are affected more heavily by SWFs than the alpine regions. At the same time, the results show that the damage claims and associated losses are not evenly distributed within each region either. Damage caused by SWFs occurs by far most frequently in summer in almost all regions. The normalized SWF damage of all regions shows no significant upward trend between 1993 and 2013. We conclude that SWFs are in fact a highly relevant process in Switzerland that should receive similar attention like fluvial flood hazards. Moreover, as SWF damage almost always coincides with fluvial flood damage, we suggest considering SWFs, like fluvial floods, as integrated processes of our catchments.

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Mapping space for water: screening for urban flash flooding

Cited by 45 publications

References 5 publications

A coarse-grid approach to representing building blockage effects in 2D urban flood modelling

A coarse-grid approach to representing building blockage effects in 2D urban flood modelling

Fluvial flood risk management in a changing world

Surface water floods in Switzerland: what insurance claim records tell us about the damage in space and time

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