20231010 09280400 1.0 FGDC CSDGM Metadata FALSE WA_CA_Points_Merged_11May2023 37.744 1629685.918548 2250047.167981 213664.661767 728212.066725 1 002 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_StatePlane_Florida_North_FIPS_0903_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>PROJCS[&quot;NAD_1983_HARN_StatePlane_Florida_North_FIPS_0903_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Lambert_Conformal_Conic&quot;],PARAMETER[&quot;False_Easting&quot;,1968500.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.5],PARAMETER[&quot;Standard_Parallel_1&quot;,29.58333333333333],PARAMETER[&quot;Standard_Parallel_2&quot;,30.75],PARAMETER[&quot;Latitude_Of_Origin&quot;,29.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;EPSG&quot;,2883]]</WKT><XOrigin>-125939000</XOrigin><YOrigin>-91453300</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2883</WKID><LatestWKID>2883</LatestWKID></ProjectedCoordinateSystem> 20230511 13580800 20230511 21015800 500000 5000 ItemDescription Jenna N. Phillips Cummins Cederberg, Inc. Sr. Coastal Engineer +1 727-308-2668 735 Arlington Ave. N, Suite 205 St. Petersburg FL 33701 US JPhillips@CumminsCederberg.com 20230511 ArcGIS Metadata 1.0 Wakulla Critical Assets 11May2023 vector digital data <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> This point dataset represents critical asset data used for analysis purposes in the report, Wakulla Disaster Risk Analysis Plan. A visual analysis was performed on this dataset to filter out instances where the intersecting with SFHA layers, Future Sea Level Rise + Surge for year 2040 and 2070 Layers , Existing Conditions Storm Surge Layers. (2023) Data refined by Apalachee Regional Planning Council (2022) Data initially collected and reviewed Cummins Cederberg, Inc., Halff Associates, Inc Critical Asset Analysis Dataset ARPC Apalachee Regional Planning Council Polygon Wakulla County Wakulla Critical Asset Analysis Dataset ARPC Apalachee Regional Planning Council Polygon Visual Analysis FEMA Floodplain MHWW NOAA Surge Sea Level Rise (SLR) SLR + Surge <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Data developed for the Apalachee Regional Planning Council.</SPAN></P></DIV></DIV></DIV> Esri ArcGIS 13.1.0.41833 -85.581257 -83.601492 29.583161 31.00229 1 -85.581255 -83.601492 31.002289 29.583161 0 WA_CA_Points_Merged_11May2023 Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. 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