Abstract

The growing demand for improved risk-based Surface Water Flooding (SWF) warning systems is evident in EU directives and in the UK Government’s Pitt Review of the 2007 summer floods. This paper presents a novel approach for collating receptor and vulnerability datasets via the concept of an Impact Library, developed by the Health and Safety Laboratory as a depository of pre-calculated impact information on SWF risk for use in a real-time SWF Hazard Impact Model (HIM). This has potential benefits for the Flood Forecasting Centre (FFC) as the organisation responsible for the issuing of flood guidance information for England and Wales. The SWF HIM takes a pixel-based approach to link probabilistic surface water runoff forecasts produced by CEH’s Grid-to-Grid hydrological model with Impact Library information to generate impact assessments. These are combined to estimate flood risk as a combination of impact severity and forecast likelihood, at 1km pixel level, and summarised for counties and local authorities. The SWF HIM takes advantage of recent advances in operational ensemble forecasting of rainfall by the Met Office and of SWF by the Environment Agency and CEH working together through the FFC. Results are presented for a case study event which affected the North East of England during 2012. The work has been developed through the UK’s Natural Hazards Partnership (NHP), a group of organisations gathered to provide information, research and analysis on natural hazards for civil contingencies, government and responders across the UK.

Highlights

  • IntroductionThere is a growing demand for improved risk-based surface water flooding (SWF) warning systems

  • There is a growing demand for improved risk-based surface water flooding (SWF) warning systems. This is evident in EU directive 2007/60/EC [1] which calls for member states to consider both flood hazard and its impacts, and WKH 8. *RYHUQPHQW¶V 3LWW 5HYLHZ RI WKH summer 2007 floods [2] which makes recommendations for the development of tools and techniques for modelling surface water flooding, including forecasting capabilities

  • The SWF Hazard Impact Model (HIM) proposed in this paper offers improved spatial detail on surface runoff information and a method of quantifying flood impacts and risk

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Summary

Introduction

There is a growing demand for improved risk-based surface water flooding (SWF) warning systems. This is evident in EU directive 2007/60/EC [1] which calls for member states to consider both flood hazard and its impacts, and WKH 8. Improvements to prediction of the hazard have been made via numerical weather prediction and probabilistic forecasting [4], but development of research on the potential impacts of flood hazards is still required to provide more targeted information to responders [5, 2]. This paper presents a novel approach to impact modelling that takes advantage of updated data and recent developments in numerical weather prediction, hydrological modelling and probabilistic forecasting in an effort to provide more targeted information to responders on flood impact and risk alongside information on the flood hazard

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