Title: Developments in large-scale coastal flood hazard mapping
Citation: NATURAL HAZARDS AND EARTH SYSTEM SCIENCES vol. 16 no. 8 p. 1841–1853
Publication Year: 2016
JRC N°: JRC101231
ISSN: 1561-8633
URI: http://www.nat-hazards-earth-syst-sci.net/16/1841/2016/
DOI: 10.5194/nhess-16-1841-2016
Type: Articles in periodicals and books
Abstract: Coastal flooding related to marine extreme events has severe socio-economic impacts, and even though the latter are projected to increase under the changing climate, there is a clear deficit of information and predictive capacity related to coastal flood mapping. The present contribution reports on efforts towards a new methodology for mapping coastal flood hazard at European scale, combining (i) the contribution of waves to the total water level; (ii) improved inundation modelling; and (iii) an open, physics-based framework which can be constantly upgraded, whenever new and more accurate data become available. Four inundation approaches of gradually increasing complexity and computational costs were evaluated in terms of their applicability for large-scale coastal flooding mapping: static inundation (SM); a semi-dynamic method, considering the water volume discharge over the dykes (VD); the Flood Intensity Index approach (Iw); and the model LISFLOOD-FP (LFP). A validation test performed against observed flood extents during the Xynthia storm event showed that SM and VD can lead to an overestimation of flood extents by 232% and 209%, while Iw and LFP showed satisfactory predictive skill. Application at pan-European scale for the present-day 100-year event confirmed that static approaches can overestimate flood extents by 56% compared to LFP; however, Iw can deliver results of reasonable accuracy in cases when reduced computational costs are a priority. Moreover, omitting the wave contribution in the extreme TWL can result in a ~60% underestimation of the flooded area. The present findings have implications for impact assessment studies, since combination of the estimated inundation maps with population exposure maps revealed differences in the estimated number of people affect within the 20-70% range.
JRC Directorate:Space, Security and Migration

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