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

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.

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.

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

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 LiDAR collected by FEMA in 2006 for Flood Map Modernization “Bare Earth” Digital Elevation Model (DEM) – buildings & vegetation removed High vertical accuracy (RMSE- spec = 0.61ft; RMSE-data = 0.22ft) wide spatial coverage Bluff Point & Poquonock River, Groton, CT

NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP) CHAMP & GIS: Sea Level Rise Process Coastal LiDAR data coverage area: (~ area of 100yr Flood Zone)

NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP) 2.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 3.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 CHAMP & GIS: Sea Level Rise Process

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

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

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.

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 3ft. In other words, these areas will likely experience flooding due to daily tidal action if sea level rises 3 ft.

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

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

NOAA Coastal Management Fellowship: Coastal Hazards Analysis & Management Project (CHAMP) CHAMP & GIS: Contacts Kevin O’Brien Environmental Analyst CT Dept. of Environmental Protection Office of Long Island Sound Programs 79 Elm St., Hartford, CT Phone: Joel Johnson NOAA Coastal Management Fellow CT Dept. of Environmental Protection Office of Long Island Sound Programs 79 Elm St., Hartford, CT Phone: