Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>GIS datasets were obtained from local, statewide, and nationwide data sources to identify critical and regionally significant assets located throughout the Apalachee Regional Planning Council (ARPC) region. These available datasets were reviewed by a team of coastal engineers, water resource professionals, GIS analysts, and local government staff to verify potential data overlap and potential data gaps prior to analysis. All critical asset data were first organized by asset type and source within each of the four Statute required critical asset categories (Transportation, Critical Community and Emergency Facilities, Critical Infrastructure, and Natural Cultural and Historic Resources). Critical asset types that had multiple, qualifying datasets were analyzed spatially to determine areas of overlap, in order to identify and produce final primary and secondary source data layers that eliminated duplicate data. The final critical asset data were merged by GIS feature type (point, polyline, and polygon) to reduce the number of layers used as inputs in following geoprocessing tasks. The original attribute tables for the final, merged critical asset layers were simplified to retain only complete, pertinent fields and new attribute fields were added to enable more efficient querying, sorting, and analysis of the data. </SPAN></P><P><SPAN>The attribute fields include:</SPAN></P><P><SPAN>Asset_Cate = Critical Asset Category</SPAN></P><P><SPAN>Crit_Asset = Critical Asset Type</SPAN></P><P><SPAN>County = Florida County where Critical Asset Resides</SPAN></P><P><SPAN>Ownership = Critical Asset Ownership Type; Private or Public</SPAN></P><P><SPAN>Flood_100Yr = Visual analysis to determine if critical asset infrastructure intersects the FEMA 100 year Floodplain; If so, the storm event is recorded.</SPAN></P><P><SPAN>Flood_500Yr = Visual analysis to determine if critical asset infrastructure intersects the FEMA 500 year Floodplain; If so, the storm event is recorded</SPAN></P><P><SPAN>CAT 3= Visual analysis to determine if critical asset infrastructure intersects the projected Category 3 Storm Surge</SPAN></P><P><SPAN>CAT 5= Visual analysis to determine if critical asset infrastructure intersects the projected Category 5 Storm Surge</SPAN></P><P><SPAN>Sea Level Rise-induced Flood Projections | SLR = Sea Level Rise</SPAN></P><P><SPAN>Ext_MHHW_2020, EXT_100Yr_2020, EXt_500Yr_2020 ( Existing Conditions Sea Level Rise Analysis) - Visual analysis to determine if critical asset infrastructure intersects the projected 2020 SLR layers</SPAN></P><P><SPAN>EXT_MHHW_2040_IL, EXT_MHHW_2040_IH, EXT_100Yr_IL_2040, EXT_100Yr_IH_2040, EXT_500Yr_IL_2040, EXT_500Yr_IH_2040 ( 2040 Sea Level Rise Analysis) - Visual analysis to determine if critical asset infrastructure intersects the projected 2040 SLR layers</SPAN></P><P><SPAN>EXT_MHHW_2070_IL, EXT_MHHW_2070_IH, EXT_100Yr_IL_2070, EXT_100Yr_IH_2070, EXT_500Yr_IL_2070, EXT_500Yr_IH_2070 ( 2070 Sea Level Rise Analysis) - Visual analysis to determine if critical asset infrastructure intersects the projected 2070 SLR layers</SPAN></P><P><SPAN>Due to significant amounts of data and the mapping extents required to show the full County limits for statics maps in the </SPAN><SPAN STYLE="font-style:italic;">Apalachee Regional Vulnerability Assessment </SPAN><SPAN>report, two separate datasets were created, one for mapping and one for analysis. The analysis dataset joined critical asset point data that fell completely within 2020 parcel data (Source: FGDL) utilizing a spatial join. This step was necessary in order to better reflect potential impact when intersecting with flood scenario vector data. This dataset represents the polygon feature type of the analysis dataset.</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>A Visual Analysis was performed on critical assets for Wakulla County determine their vulnerability. The parcels intersecting the FEMA Special Flood Hazard Areas were identified for further review. The critical assets were then manually inspected to determine the proximity of the FEMA floodplain to buildings and other infrastructure on the site, including parking lots, and entry roads. The resulting vulnerable assets were identified and the related storm event was recorded. This process filtered out instances where the intersecting SFHA was not adjacent to the infrastructure.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Service Item Id: 8eaa22c90a954da8980c450e52c893eb
Copyright Text: (2023) Data refined by Apalachee Regional Planning Council
(2022) Data initially collected and reviewed Cummins Cederberg, Inc., Halff Associates, Inc
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The only county with an updated evacuation route is Wakulla county. The Surf Road is removed in the updated evacuation route.</SPAN></P><P><SPAN>This Shapefile contain evacuation routes for the nine counties in the Apalachee Region of Florida.</SPAN></P><P><SPAN>Date updated: 25 March 2021</SPAN></P></DIV></DIV></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN>Flood zones are geographic areas that the FEMA has defined according to varying levels of flood risk. These zones are depicted on a community's Flood Insurance Rate Map (FIRM) or Flood Hazard BoundaryMap. Each zone reflects the severity or type of flooding in the area.</SPAN></P></DIV></DIV>
Service Item Id: 8eaa22c90a954da8980c450e52c893eb
Copyright Text: Federal Emergency Management Agency (FEMA)
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>The dataset consists of vector polygons representing flood extents associated with MHHW. </SPAN></SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>The dataset was created using the published stillwater elevation rasters from FEMA’s Flood Insurance Study. The stillwater elevations were adjusted according to the projected sea level rise values and used to conduct a raster difference with a digital elevation model of the area from the NWFWMD to determine the flood depths. The resulting raster difference output was converted to vector polygon format for use in subsequent vector geoprocessing with critical asset vector data.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Service Item Id: 8eaa22c90a954da8980c450e52c893eb
Copyright Text: Cummins Cederberg, Inc., Halff Associates, Inc.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN>The dataset consists of vector polygons representing flood extents associated with MHHW along with the projected sea level rise from the </SPAN><SPAN>Intermediate Low curve projection. </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>The dataset was created using the published stillwater elevation rasters from FEMA’s Flood Insurance Study. The stillwater elevations were adjusted according to the projected sea level rise values and used to conduct a raster difference with a digital elevation model of the area from the NWFWMD to determine the flood depths. The resulting raster difference output was converted to vector polygon format for use in subsequent vector geoprocessing with critical asset vector data.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Service Item Id: 8eaa22c90a954da8980c450e52c893eb
Copyright Text: Cummins Cederberg, Inc., Halff Associates, Inc.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN>The dataset consists of vector polygons representing flood extents associated with MHHW along with the projected sea level rise from the </SPAN><SPAN>Intermediate Low curve projection. </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>The dataset was created using the published stillwater elevation rasters from FEMA’s Flood Insurance Study. The stillwater elevations were adjusted according to the projected sea level rise values and used to conduct a raster difference with a digital elevation model of the area from the NWFWMD to determine the flood depths. The resulting raster difference output was converted to vector polygon format for use in subsequent vector geoprocessing with critical asset vector data.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Service Item Id: 8eaa22c90a954da8980c450e52c893eb
Copyright Text: Cummins Cederberg, Inc., Halff Associates, Inc.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN>The dataset consists of vector polygons representing flood extents associated with MHHW along with the projected sea level rise from the </SPAN><SPAN>Intermediate High curve projection. </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>The dataset was created using the published stillwater elevation rasters from FEMA’s Flood Insurance Study. The stillwater elevations were adjusted according to the projected sea level rise values and used to conduct a raster difference with a digital elevation model of the area from the NWFWMD to determine the flood depths. The resulting raster difference output was converted to vector polygon format for use in subsequent vector geoprocessing with critical asset vector data.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Service Item Id: 8eaa22c90a954da8980c450e52c893eb
Copyright Text: Cummins Cederberg, Inc., Halff Associates, Inc.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN>The dataset consists of vector polygons representing flood extents associated with MHHW along with the projected sea level rise from the </SPAN><SPAN>Intermediate High curve projection. </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN><SPAN>The dataset was created using the published stillwater elevation rasters from FEMA’s Flood Insurance Study. The stillwater elevations were adjusted according to the projected sea level rise values and used to conduct a raster difference with a digital elevation model of the area from the NWFWMD to determine the flood depths. The resulting raster difference output was converted to vector polygon format for use in subsequent vector geoprocessing with critical asset vector data.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Service Item Id: 8eaa22c90a954da8980c450e52c893eb
Copyright Text: Cummins Cederberg, Inc., Halff Associates, Inc.
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains 2020 parcel boundaries with each parcel's associated tax information from the Florida Department of Revenue's tax database. This feature class contains parcel polygons and associated parcel attribute information. Attributes include PARCELID, ALTKEY, Section, Township, Range, owner name, owner mailing address, site address, most recent sales info, valuation, land use codes, building details, legal description, and more. This is an update to the FGDL data layer PARCELS_2019.</SPAN></P></DIV></DIV></DIV>
Service Item Id: 8eaa22c90a954da8980c450e52c893eb
Copyright Text: The Florida Department of Revenue, the respective County Property Appraiser's Office, and the University of Florida GeoPlan Center.