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Nat. Hazards Earth Syst. Sci., 15, 1457-1471, 2015
https://doi.org/10.5194/nhess-15-1457-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
02 Jul 2015
Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change
P. J. Knight1, T. Prime1,2, J. M. Brown2, K. Morrissey1, and A. J. Plater1 1Department of Geography and Planning, School of Environmental Sciences, University of Liverpool, Roxby Building, Chatham Street, Liverpool L69 7ZT, UK
2National Oceanography Centre Liverpool, Joseph Proudman Building, 6 Brownlow Street, Liverpool L3 5DA, UK
Abstract. A pressing problem facing coastal decision makers is the conversion of "high-level" but plausible climate change assessments into an effective basis for climate change adaptation at the local scale. Here, we describe a web-based, geospatial decision support tool (DST) that provides an assessment of the potential flood risk for populated coastal lowlands arising from future sea-level rise, coastal storms, and high river flows. This DST has been developed to support operational and strategic decision making by enabling the user to explore the flood hazard from extreme events, changes in the extent of the flood-prone areas with sea-level rise, and thresholds of sea-level rise where current policy and resource options are no longer viable. The DST is built in an open-source GIS that uses freely available geospatial data. Flood risk assessments from a combination of LISFLOOD-FP and SWAB (Shallow Water And Boussinesq) models are embedded within the tool; the user interface enables interrogation of different combinations of coastal and river events under rising-sea-level scenarios. Users can readily vary the input parameters (sea level, storms, wave height and river flow) relative to the present-day topography and infrastructure to identify combinations where significant regime shifts or "tipping points" occur. Two case studies demonstrate the attributes of the DST with respect to the wider coastal community and the UK energy sector. Examples report on the assets at risk and illustrate the extent of flooding in relation to infrastructure access. This informs an economic assessment of potential losses due to climate change and thus provides local authorities and energy operators with essential information on the feasibility of investment for building resilience into vulnerable components of their area of responsibility.

Citation: Knight, P. J., Prime, T., Brown, J. M., Morrissey, K., and Plater, A. J.: Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change, Nat. Hazards Earth Syst. Sci., 15, 1457-1471, https://doi.org/10.5194/nhess-15-1457-2015, 2015.
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Short summary
A pressing problem facing coastal decision makers is the conversion of "high-level" but plausible climate change assessments into an effective basis for climate change adaptation at the local scale. Here, we describe a web-based, geospatial decision support tool (DST) that provides an assessment of the potential flood risk for populated coastal lowlands arising from future sea-level rise, coastal storms, and high river flows.
A pressing problem facing coastal decision makers is the conversion of "high-level" but...
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