URBAS: forecasting and management of flash floods in urban areas

Einfalt, Thomas; Hatzfeld, Fritz; Wagner, Andreas; Seltmann, J.; Castro, Douglas de; Frerichs, Stephen

doi:10.1080/15730620902934819

Cited by 26 publications

(20 citation statements)

References 1 publication

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“…River and flash flood occurrences vary between none and seven per year, with no discernible trend, while for all flood generating events the increase in the annual number is apparent. A similar result is produced if we look at a database developed under the German research project URBAS on urban 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 floods (Einfalt et al, 2006). Urban floods can be regarded as synonymous to flash floods in the way they are defined.…”

Section: Example Analysis: Flood and Severe Storm Disasters In Germanymentioning

confidence: 81%

How to deal properly with a natural catastrophe database – analysis of flood losses

Kron¹,

Steuer²,

Löw³

et al. 2012

Nat. Hazards Earth Syst. Sci.

159

117

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Abstract. Global reinsurer Munich Re has been collecting data on losses from natural disasters for almost four decades. Together with EM-Dat and sigma, Munich Re's NatCatSER-VICE database is currently one of three global databases of its kind, with its more than 30 000 datasets. Although the database was originally designed for reinsurance business purposes, it contains a host of additional information on catastrophic events. Data collection poses difficulties such as not knowing the exact extent of human and material losses, biased reporting by interest groups, including governments, changes over time due to new findings, etc. Loss quantities are often not separable into different causes, e.g., windstorm and flood losses during a hurricane, or windstorm, hail and flooding during a severe storm event. These difficulties should be kept in mind when database figures are analysed statistically, and the results have to be treated with due regard for the characteristics of the underlying data. Comparing events at different locations and on different dates can only be done using normalised data. For most analyses, and in particular trend analyses, socio-economic changes such as inflation or growth in population and values must be considered. Problems encountered when analysing trends are discussed using the example of floods and flood losses.

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Section: Example Analysis: Flood and Severe Storm Disasters In Germanymentioning

confidence: 81%

How to deal properly with a natural catastrophe database – analysis of flood losses

Kron¹,

Steuer²,

Löw³

et al. 2012

Nat. Hazards Earth Syst. Sci.

159

117

View full text Add to dashboard Cite

show abstract

“…Austin and Bellon, 1974;Einfalt et al, 1990;Sharif et al, 2006;Smith et al, 2007;Javier et al, 2007;Achleitner et al, 2009;Einfalt et al, 2009;Schellart et al, 2012a;Wang et al, 2012;Ntegeka et al, 2015). Due to the short response time of the urban drainage system and the short lifetime and small spatial size of convective rain cells, urban rainfall forecasts are only reliable for very short lead times (Achleitner et al, 2009;Foresti et al, 2016).…”

Section: Nowcasting Of Radar Rainfallmentioning

confidence: 99%

Weather radar rainfall data in urban hydrology

Thorndahl

Einfalt

Willems

et al. 2017

Hydrol. Earth Syst. Sci.

168

108

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Abstract. Application of weather radar data in urban hydrological applications has evolved significantly during the past decade as an alternative to traditional rainfall observations with rain gauges. Advances in radar hardware, data processing, numerical models, and emerging fields within urban hydrology necessitate an updated review of the state of the art in such radar rainfall data and applications. Three key areas with significant advances over the past decade have been identified: (1) temporal and spatial resolution of rainfall data required for different types of hydrological applications, (2) rainfall estimation, radar data adjustment and data quality, and (3) nowcasting of radar rainfall and real-time applications. Based on these three fields of research, the paper provides recommendations based on an updated overview of shortcomings, gains, and novel developments in relation to urban hydrological applications. The paper also reviews how the focus in urban hydrology research has shifted over the last decade to fields such as climate change impacts, resilience of urban areas to hydrological extremes, and online prediction/warning systems. It is discussed how radar rainfall data can add value to the aforementioned emerging fields in current and future applications, but also to the analysis of integrated water systems.

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“…These floods are typically associated with the phenomena of torrential precipitation accompanied by thunderstorms [17] falling over an urban fabric that is almost entirely impermeable and with channeled temporary and permanent water streams. When combined, these factors give rise to the term "flash floods" that occur every year in the city of Lisbon.…”

Section: Brief Overview Of Lisbon's Floodsmentioning

confidence: 99%

Urban Flood Adaptation through Public Space Retrofits: The Case of Lisbon (Portugal)

Silva

Costa

2017

Sustainability

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Abstract:A "Conceptual Framework of flood adaptation measures applicable in the design of public spaces" was previously created with the objective of increasing the rate of successful flood adaptation endeavors, fulfill municipal goals for more adaptive cities and facilitate the initial brainstorming phases of a public space design process. This research aims to assess the relevance and applicability of this Conceptual Framework on the particular municipal context of Lisbon. The paper starts by demonstrating the city's existing vulnerabilities and projected climate change scenarios, where it is possible to confirm that floods are indeed a recurrent phenomenon that will aggravate in the near and distant future. Subsequently, municipal endeavors up to the present time are analyzed with the purpose of assessing if the Conceptual Framework provides additional types of flood adaptation measures that may be considered. In a final stage, additional types of adaptation measures highlighted by the Conceptual Framework are assessed with regard to their application and infrastructural relevance. In light of the presented results, which confirm the infrastructural benefits of the additional measures proposed, new discussions emerge specifically regarding Lisbon's municipal flood adaptation management and its relation with public space design.

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URBAS: forecasting and management of flash floods in urban areas

Cited by 26 publications

References 1 publication

How to deal properly with a natural catastrophe database – analysis of flood losses

How to deal properly with a natural catastrophe database – analysis of flood losses

Weather radar rainfall data in urban hydrology

Urban Flood Adaptation through Public Space Retrofits: The Case of Lisbon (Portugal)

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