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Projected 21St Century Coastal Flooding In The Southern California Bight. Part 2: Tools For Assessing Climate Change-Driven Coastal Hazards And Socio-Economic Impacts



Details

  • Journal Title:
    Journal of Marine Science and Engineering
  • Personal Author:
  • NOAA Program & Office:
  • Sea Grant Program:
  • Description:
    This paper is the second of two that describes the Coastal Storm Modeling System (CoSMoS) approach for quantifying physical hazards and socio-economic hazard exposure in coastal zones affected by sea-level rise and changing coastal storms. The modelling approach, presented in Part 1, downscales atmospheric global-scale projections to local scale coastal flood impacts by deterministically computing the combined hazards of sea-level rise, waves, storm surges, astronomic tides, fluvial discharges, and changes in shoreline positions. The method is demonstrated through an application to Southern California, United States, where the shoreline is a mix of bluffs, beaches, highly managed coastal communities, and infrastructure of high economic value. Results show that inclusion of 100-year projected coastal storms will increase flooding by 9–350% (an additional average 53.0 ± 16.0 km2) in addition to a 25–500 cm sea-level rise. The greater flooding extents translate to a 55–110% increase in residential impact and a 40–90% increase in building replacement costs. To communicate hazards and ranges in socio-economic exposures to these hazards, a set of tools were collaboratively designed and tested with stakeholders and policy makers; these tools consist of two web-based mapping and analytic applications as well as virtual reality visualizations. To reach a larger audience and enhance usability of the data, outreach and engagement included workshop-style trainings for targeted end-users and innovative applications of the virtual reality visualizations.
  • Source:
    J. Mar. Sci. Eng., 6, 76
  • DOI:
  • Document Type:
  • Rights Information:
    CC BY
  • Compliance:
    Library
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  • File Type:
    Filetype[PDF - 4.32 MB]
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  • Main Document Checksum:
    urn:sha256:44797f9f83809d20c089b5818587de6ea50bfcf8993a660279ec61976b2c05bb
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