Key factors influencing the severity of fluvial flood hazard from tropical cyclones

Titley, Helen; Cloke, Hannah; Harrigan, Shaun; Pappenberger, Florian; Prudhomme, Christel; Robbins, Joanne; Stephens, Elisabeth; Zsótér, Ervin

doi:10.1175/jhm-d-20-0250.1

Cited by 17 publications

(11 citation statements)

References 56 publications

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“…6 of 18 as they provide sufficient time for precipitation to augment river flows and heighten water levels (Lai et al, 2020;Titley et al, 2021), and slower moving cyclones are less intense in terms of wind speed (Eguchi et al, 2021).…”

Section: Co-variance With Cyclone Wind Speedsmentioning

confidence: 99%

A Multi‐Hazard Risk Framework to Stress‐Test Water Supply Systems to Climate‐Related Disruptions

et al. 2023

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Resilient water supply infrastructure is fundamental for human life and wellbeing (Hallegatte et al., 2019). As adverse impacts of climate change threaten the Sustainable Development Goals (SDGs) (UN, 2021), the need for resilient water supply infrastructure is increasingly important if several SDG targets including clean water and sanitation (SDG 6) are to be met by 2030 (Krueger et al., 2020). However, climate extremes, such as droughts and floods, pose a high risk to water supply infrastructure given their proximity to, and dependency on, water bodies

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Section: Co-variance With Cyclone Wind Speedsmentioning

confidence: 99%

A Multi‐Hazard Risk Framework to Stress‐Test Water Supply Systems to Climate‐Related Disruptions

et al. 2023

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“…Values of ρ > 0.5 are commonly considered to show a strong correlation (see, e.g. Couasnon et al, 2020;Titley et al, 2021) and values of ρ are generally higher than those of τ (see, e.g. Camus et al, 2021;Wahl et al, 2015).…”

Section: Estimated Compound Flood Impactsmentioning

confidence: 99%

Compound flood impact forecasting: integrating fluvial and flash flood impact assessments into a unified system

Láng-Ritter

Berenguer

Dottori

et al. 2022

Hydrol. Earth Syst. Sci.

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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 overall hazards or impacts. Moreover, from the perspective of 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 decision support, this paper proposes the integration of different flood type-specific approaches into one compound flood impact forecast. This possibility has been explored through the development of a unified system combining the simulations of two impact forecasting methods: the Rapid Risk Assessment of the European Flood Awareness System (EFAS RRA; representing fluvial floods) and the radar-based ReAFFIRM method (representing flash floods). The unified system has been tested for a recent catastrophic episode of compound flooding: the DANA event of September 2019 in south-east Spain (Depresión Aislada en Niveles Altos, meaning cut-off low). 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 EUR 670 million against EUR 425 million of reported insured losses. Although the compound impact estimates were less accurate at municipal level, they corresponded much better to the observed impacts than those generated by the two methods applied separately. This demonstrates the potential of such integrated approaches for improving decision support services.

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“…Values of ρ > 0.5 are commonly considered a strong correlation (see e.g. Couasnon et al, 2020;Titley et al, 2021) and values of ρ are generally higher than those of τ (see e.g. Camus et al, 2021;Wahl et al, 2015).…”

Section: Estimated Compound Flood Impactsmentioning

confidence: 99%

Compound flood impact forecasting: Integrating fluvial and flash flood impact assessments into a unified system

Ritter

Berenguer

Dottori

et al. 2021

Preprint

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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.

show abstract

Key factors influencing the severity of fluvial flood hazard from tropical cyclones

Cited by 17 publications

References 56 publications

A Multi‐Hazard Risk Framework to Stress‐Test Water Supply Systems to Climate‐Related Disruptions

A Multi‐Hazard Risk Framework to Stress‐Test Water Supply Systems to Climate‐Related Disruptions

Compound flood impact forecasting: integrating fluvial and flash flood impact assessments into a unified system

Compound flood impact forecasting: Integrating fluvial and flash flood impact assessments into a unified system

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