Coastal Hazards Analysis Management Program CHAMP A 2005

Coastal Hazards Analysis & Management Program (CHAMP) A 2005 -2007 NOAA Coastal Management Fellowship CT Department of Environmental Protection Office of Long Island Sound Programs (OLISP) May 28 th, 2008 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP Rationale & Objectives Rationale: • State/Municipal officials, academia, coastal property owners and the general public would benefit from a single, comprehensive, & updatable source of hazards information for the coast. 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP Project Deliverables Coastal Hazards Research & Assessment: • Analyze existing coastal hazards information for CT and provide a status report. Coastal Hazards Web Site & Visualization Tools: • Web site to deliver hazards related information and data • Develop an interactive inundation visualization tool Outreach to Coastal Communities: • Let them know data and tools exist to help plan/prepare/recover from coastal hazards This is where GIS data and applications will play a role. 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & Inundation Visualization Show inundation from sea level rise scenarios: • Let users see the effects of various levels of SLR as GIS datalayers draped over imagery • give some “on the ground meaning” to many numbers • Beginning pilot work area Show inundation from storm surge: • Let users see the effects of varying intensity storms as GIS datalayers draped over imagery • Historic & hypothetical storms • Leverage expertise from UCONN Marine Science Dept. • Come after SLR work is further along 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & GIS: Sea Level Rise Process 1. Obtain best-available elevation data to model the landscape • Coastal Li. DAR collected by FEMA in 2006 for Flood Map Modernization • “Bare Earth” Digital Elevation Model (DEM) – buildings & vegetation removed • High vertical accuracy (RMSEspec = 0. 61 ft; RMSE-data = 0. 22 ft) • wide spatial coverage Bluff Point & Poquonock River, Groton, CT 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & GIS: Sea Level Rise Process Coastal Li. DAR data coverage area: (~ area of 100 yr Flood Zone) 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & GIS: Sea Level Rise Process 2. 3. Raise water levels to correspond to common values of SLR (ex: IPCC high/low estimates, various scientific studies) • display rises relative to mean sea level - easy • display rises relative to local tide levels (eg. MHW) - harder Leverage work done previously by UCONN CLEAR to do this: • extract the areas that = waterbodies from the DEM surface data • use GIS analysis tools that take the waterbody areas and the surrounding land area and flood them to a specific water level 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & GIS: Sea Level Rise Results DEM surface data draped over 2005 CIR orthophoto 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & GIS: Sea Level Rise Results Waterbody area (approximating mean sea level) extracted from DEM data & draped over 2005 CIR orthophoto 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & GIS: Sea Level Rise Results Areas in GREEN = rise in sea level of 3 ft over mean sea level. In other words, these areas will flood if sea level rises 3 ft. 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & GIS: Sea Level Rise Results Areas in YELLOW = expected limit of MHW if sea level rises 3 ft. In other words, these areas will likely experience flooding due to daily tidal action if sea level rises 3 ft. 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & GIS: Wrap-up/Next Steps QA/QC work critical • areas where flooding not possible were flooded due to artifacts in the processing Begin work on Storm Surge • use UCONN circulation models to create data for storm surge • incorporate detailed community level GIS data (eg storm drin locations) to provide better results. ) • use GIS data created from ACOE historic hurricane water level surveys to check results • compare results to recent SLOSH maps, other inundation data 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & GIS: Other Examples UCONN CLEAR: • looked at coastal storm surge using different elevation data and NWS SLOSH model output • http: //clear. uconn. edu/projects/DEVELOP/index. htm 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)

CHAMP & GIS: Contacts Kevin O’Brien Joel Johnson Environmental Analyst NOAA Coastal Management Fellow CT Dept. of Environmental Protection Office of Long Island Sound Programs 79 Elm St. , Hartford, CT 06106 Phone: 860 -424 -3432 kevin. obrien@ct. gov CT Dept. of Environmental Protection Office of Long Island Sound Programs 79 Elm St. , Hartford, CT 06106 Phone: 860 -424 -3939 joel. johnson@ct. gov 2007 -2009 NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP)