Abstract
Recent and historic high-impact events demonstrated coastal risk (Xynthia, Europe, 2010; Katrina, USA, 2005). This is only to get worse, because risk is increasing due to increase in both hazard intensity, frequency and increase in consequences (increased coastal development). Adaptation requires a re-evaluation of coastal disaster risk reduction (DRR) strategies and a new mix of prevention, mitigation (e.g. limiting construction in flood-prone areas) and preparedness (e.g. Early warning systems, EWS) measures. Within the EU funded project RISC-KIT the focus is on preparedness measures and its aim is to demonstrate robustness and applicability of coastal EWS (Early Warning Systems) and DSS (Decision Support Systems). Delft-FEWS, a generic tool for Early Warning Systems has been extended, to be applied at sites all across Europe. The challenges for developing a modern EWS are found in the integration of large data sets, specialised modules to process the data, and open interfaces to allow easy integration of existing modelling capacities. In response to these challenges, Delft-FEWS provides a state of the art EWS framework, which is highly customizable to the specific requirements of an individual organisation. For ten case study sites on all EU regional seas a EWS has been developed, to provide real-time (short-term) forecasts and early warnings. The EWS component is a 2D model framework of hydro-meteo and morphological models which computes hazard intensities. The total expected impact of a hazard can be obtained by using a Bayesian network DSS. This DSS, which is incorporated in the Delft-FEWS platform is a tool that links coastal multi-hazards to their socioeconomic and environmental consequences. An important innovation of the EWS/DSS lies in its application in dual mode: as a forecast and warning system and as a consistent ex-ante planning tool to evaluate the long-term vulnerability due to multiple (low-frequency) coastal hazards, under various climate-related scenarios. Generic tools which can be used to set-up a EWS/DSS for coastal regions regardless of geomorphic settings, forcing or hazard type have been developed and are available via the project website.
Highlights
Recent and historic high-impact events demonstrated coastal risk in Europe (Xynthia, France, 2010; Katrina, USA, 2005; Liguria Flash Floods, Italy 2011, North Sea Storm Surge, Europe 1953)
The above requires a re-evaluation of coastal disaster risk reduction (DRR) strategies and a new mix of prevention, mitigation and preparedness (e.g. Early Warning Systems, EWS) measures
In response to challenges mentioned in paragraph 1, the EU-funded RISC-KIT research project (2013-2017), as described on the project website (RISC-KIT, 2015), aims to deliver a set of open-source and open-access methods, tools and management approaches to reduce risk and increase resilience to low-frequency, high-impact hydrometeorological events in the coastal zone
Summary
Recent and historic high-impact events demonstrated coastal risk in Europe (Xynthia, France, 2010; Katrina, USA, 2005; Liguria Flash Floods, Italy 2011, North Sea Storm Surge, Europe 1953). Outside Europe similar and even more severe flooding and inundation events demonstrated their significant impact (Typhoon Haiyan, Philippines, 2013; Hurricanes in the Caribbean and Gulf of Mexico, Super storm Sandy, U.S.A, 2012). These events may cause severe economic damage to coastal regions, have high socio-economic impact and may even lead to loss of life. This is only to get worse, because risk is increasing due to increase in hazard intensity, frequency and increase in consequences, i.e. increased coastal development (IPPC, AR5). As free space is becoming sparse, coastal DRR plans need to be spatially efficient, allowing for multi-functionality
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