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addressing climate change adaptation in regional transportation plans

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Address<strong>in</strong>g Climate Change Adaptation <strong>in</strong> Regional Transportation PlansA Guide for California MPOs and RTPAswas conducted to support a study from the California Climate Change Center(CCCC) conducted by the Pacific Institute (2009). The data developed for thisstudy <strong>in</strong>cluded current conditions 100-year flood extents at year 2000, andprojected <strong>in</strong>undation extents with 1.4 meters (4.6 feet) of sea-level rise under A2emissions, which was the only scenario analyzed for that study. Additionally,this study <strong>in</strong>cluded estimates of cliff and dune erosion by 2100 under A2emissions. Geospatial data layers generated for the study by the Pacific Institutefor current and projected <strong>in</strong>undation extents for the full California coast andareas vulnerable to dune and cliff erosion from Santa Barbara to the northernstate boundary are available from the Pacific Institute’s GIS data page(http://www.pac<strong>in</strong>st.org/reports/sea_level_rise/data/<strong>in</strong>dex.htm).Interpret<strong>in</strong>g and Us<strong>in</strong>g Sea‐Level Rise DataThe data available from the Pacific Institute <strong>in</strong>cludes four geospatial layers that reflectpresent and future conditions <strong>in</strong>undation extents along the full length of the Californiacoastl<strong>in</strong>e, and vulnerability zones for dune and cliff erosion from Santa Barbara to thenorthern State boundary. The Pacific Institute created or modified these layers for astudy, titled The Impacts of Sea‐Level Rise on the California Coast (Heberger et al.,2009). In brief, the layers were constructed as follows:Current conditions 100‐year flood <strong>in</strong>undation (year 2000) –100‐year floodelevations were aggregated for the full California coastl<strong>in</strong>e us<strong>in</strong>g published datafrom the FEMA’s digital flood <strong>in</strong>surance rate maps (DFIRM), and gaps were filled<strong>in</strong> us<strong>in</strong>g local <strong>in</strong>formation and eng<strong>in</strong>eer<strong>in</strong>g judgment. These elevations wereprojected aga<strong>in</strong>st topographic data to create flood hazard extents for the 100‐year coastal flood.Projected 100‐year flood <strong>in</strong>undation under 1.4 meters of sea‐level rise (year2100) – Total water levels for the 100‐year flood elevations for future conditionswere estimated based on GCM output of water levels and wave heights modifiedus<strong>in</strong>g local <strong>in</strong>formation on wave refraction and transformation.Dune erosion hazard zone – The dune erosion hazard zone was estimated us<strong>in</strong>gthe total water levels projected for 2100, and historic erosion rates published bythe USGS. The encroachment of the hazard zone by year 2100 is a function ofsea‐level rise, long‐term historic shorel<strong>in</strong>e <strong>change</strong> rates, and erosion from the100‐year storm event.Cliff erosion hazard zones – The extent of cliff erosion hazards was estimatedus<strong>in</strong>g historic cliff erosion rates and the relative <strong>in</strong>crease <strong>in</strong> time that total waterlevels exceed the backshore elevation due to sea‐level rise.Source: Heberger et al., 2009.Note: A technical summary of the data sources and computational methods applied for generat<strong>in</strong>g the <strong>climate</strong> datacan be requested separately through Caltrans.10-8 Cambridge Systematics, Inc.

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