Abstract

Floods can arise from a variety of physical processes. Although numerous risk assessment approaches stress the importance of taking into account the possible combinations of flood types (i.e. compound floods), this awareness has so far not been reflected in the development of early warning systems: Existing methods for forecasting flood hazards or the corresponding socio-economic impacts are generally designed for only one type of flooding. During compound flood events, these flood type-specific approaches are unable to identify the overall hazards or impacts. Moreover, from the perspective of the end-users (e.g. civil protection authorities), the monitoring of separate flood forecasts – with potentially contradictory outputs – can be confusing and time-consuming, and ultimately impede an effective emergency response. To enhance the decision support, this paper proposes the integration of different flood type-specific approaches into one compound flood impact forecast. This possibility has been explored by combining the simulations of two impact forecasting methods (representing fluvial and flash floods) for a recent catastrophic episode of compound flooding: the DANA event of September 2019 in Southeast Spain. The combination of the two methods identified well the overall compound flood extents and impacts reported by various information sources. For instance, the simulated economic losses amounted to about 670 million Euros against 425 million Euros of reported insured losses. Although the compound impact estimates were less accurate at municipal level, they corresponded significantly better to the observed impacts than those generated by the two methods applied separately. This demonstrates the potential of such integrated approaches for improving the decision support.

Highlights

  • IntroductionFloods regularly result in devastating impacts on human society. Between 2008 and 2017, floods claimed on average about 5 000 lives per year (CRED, 2019)

  • Around the globe, floods regularly result in devastating impacts on human society

  • The results from ReAFFIRM in this study have been generated at hourly resolution (Sect. 3.2) we present for ReAFFIRM the aggregated impacts over the full event duration to enable a comparison with European Flood Awareness System (EFAS) Rapid Risk Assessment (RRA)’s results and post-event impact observations

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Summary

Introduction

Floods regularly result in devastating impacts on human society. Between 2008 and 2017, floods claimed on average about 5 000 lives per year (CRED, 2019). Flood EWSs generally rely on methods that continuously provide the end-users with forecasts of upcoming flood hazards or impacts (UNISDR, 2006) These forecasting methods are based on models representing the physical processes that generate floods, which are diverse: The most common flood types include fluvial floods, flash floods, pluvial (urban or surface water) floods, and coastal floods (e.g. European Commission, 2007). The end-users’ decision-making process is in the current practice usually based on a number 80 of separate flood forecasts (representing the different flood types) that may even show contradictory outputs. 2) has been taken as an opportunity to explore the possibility of such an integrated system For this event, we test a simple real-time adapted combination of fluvial flood impact simulations from EFAS RRA (Dottori et al, 2017) with flash flood impact simulations from ReAFFIRM ReAFFIRM Flash floods 5 km2 ≤ Drainage area ≤ 2 000 km SE Spain (Jucar and Segura basins, 62 000 km2) Radar rainfall observations and nowcasts; Radar-raingauge-blending up to 6 h; based on observations 15 min; 1h ERICHA system (rainfall-based) 200 m Return period [0, 2, 5, 10, 25, 50, 100, 200, 500] years National official flood maps (in Spain: IGN, 2020a) 1 m, upscaled to 25 m [10, 50, 100, 500] years Population in the flooded areas, economic losses [e], affected critical infrastructures (CIs) 25 m Municipalities; Municipalities

Fluvial flood impacts
Flood depth estimation
Impact estimation
Compound flood impact estimation
Results
Flash flood impacts estimated by ReAFFIRM 265
Estimated compound flood impacts 315
Conclusions
450 Acknowledgements
460 References
Full Text
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