<?xml version="1.0" encoding="ISO-8859-1"?>
<?xml-stylesheet type="text/xsl" href="./fgdc_classic_fgdl.xsl"?>
<!DOCTYPE metadata SYSTEM "http://www.fgdc.gov/metadata/fgdc-std-001-1998.dtd">
<metadata><idinfo><citation><citeinfo><origin>Federal Emergency Management Agency</origin><pubdate>20211215</pubdate><title>Digital Flood Insurance Rate Map (DFIRM) in the State of Florida - 100 Year Flood Zones - December 2021</title><edition>NFHL Florida Data Product ID: NFHL_12_20211215, ESRI FGDB</edition><geoform>Vector Digital Data Set (Polygon)</geoform><pubinfo><pubplace>500 C Street SW, Washington, DC, 20472, US</pubplace><publish>Federal Emergency Management Agency</publish></pubinfo><othercit>State of Florida</othercit><onlink>https://msc.fema.gov/portal/advanceSearch</onlink></citeinfo></citation><descript><abstract>This is a raster data set with a 10-meter cell size based on the DFIRM_FLDHAZ vector layer. This layer includes breakdown of all 100 year flood zones (A, AE, AH, AO, VE).</abstract><purpose>This raster layer is based off the vector layer DFIRM_FLDHAZ and is used to increase performance with ETDM analysis.</purpose><supplinf>What Is an LFD? A Letter of Final Determination (LFD) is a letter the Federal Emergency Management Agency (FEMA) sends to the Chief Executive Officer of a community stating that a new or updated Flood Insurance Rate Map (FIRM) or Digital Flood Insurance Rate Map (DFIRM) will become effective in 6 months. The letter also notifies each affected flood prone community participating in the National Flood Insurance Program (NFIP) that it must adopt a compliant floodplain management ordinance by the map effective date to remain participants in good standing in the NFIP. DFIRM [S_FIRM_Pan] Panel Summary Table of Effective Date -------------------------------------------------------------------------------- DFIRM_ID EFF_DATE COUNTY PANEL_CNT NOTES 12001C 11/2/2018 ALACHUA COUNTY 12 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12001C 6/16/2006 ALACHUA COUNTY 91 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12001C 9/24/2021 ALACHUA COUNTY 9 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12003C 6/17/2008 BAKER COUNTY 75 12005C 6/2/2009 BAY COUNTY 168 12007C 11/2/2018 BRADFORD COUNTY 16 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12007C 5/2/2012 BRADFORD COUNTY 23 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12009C 1/29/2021 BREVARD COUNTY 90 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12009C 3/17/2014 BREVARD COUNTY 59 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12011C 8/18/2014 BROWARD COUNTY 103 12013C 6/18/2013 CALHOUN COUNTY 62 12015C 5/5/2003 CHARLOTTE COUNTY 123 12017C 1/15/2021 CITRUS COUNTY 46 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12017C 9/26/2014 CITRUS COUNTY 108 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12019C 3/17/2014 CLAY COUNTY 60 12021C 5/16/2012 COLLIER COUNTY 156 12023C 11/2/2018 COLUMBIA COUNTY 35 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12023C 2/4/2009 COLUMBIA COUNTY 84 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12027C 10/7/2021 DESOTO COUNTY 10 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12027C 11/6/2013 DESOTO COUNTY 78 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12029C 1/18/2019 DIXIE COUNTY 80 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12029C 4/18/2018 DIXIE COUNTY 26 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12029C 9/29/2006 DIXIE COUNTY 29 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12029C 9/9/9999 DIXIE COUNTY 1 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12031C 11/2/2018 DUVAL COUNTY 104 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12031C 6/3/2013 DUVAL COUNTY 76 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12033C 9/29/2006 ESCAMBIA COUNTY 104 12035C 6/6/2018 FLAGLER COUNTY 67 12037C 2/5/2014 FRANKLIN COUNTY 59 12039C 2/4/2009 GADSDEN COUNTY 87 12041C 1/19/2018 GILCHRIST COUNTY 28 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12041C 9/29/2006 GILCHRIST COUNTY 45 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12043C 3/6/2020 GLADES COUNTY 44 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12043C 9/26/2014 GLADES COUNTY 41 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12045C 3/9/2021 GULF COUNTY 93 12047C 6/4/2010 HAMILTON COUNTY 41 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12047C 8/28/2018 HAMILTON COUNTY 5 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12047C 9/4/2020 HAMILTON COUNTY 21 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12049C 11/6/2013 HARDEE COUNTY 96 12051C 5/15/2020 HENDRY COUNTY 15 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12051C 7/6/2015 HENDRY COUNTY 45 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12053C 1/15/2021 HERNANDO COUNTY 36 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12053C 2/2/2012 HERNANDO COUNTY 115 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12055C 11/18/2015 HIGHLANDS COUNTY 159 12057C 10/7/2021 HILLSBOROUGH COUNTY 99 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12057C 8/28/2008 HILLSBOROUGH COUNTY 143 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12057C 9/27/2013 HILLSBOROUGH COUNTY 1 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12059C 12/17/2010 HOLMES COUNTY 44 12061C 12/4/2012 INDIAN RIVER COUNTY 70 12063C 12/17/2010 JACKSON COUNTY 70 12065C 2/5/2014 JEFFERSON COUNTY 21 12067C 10/5/2017 LAFAYETTE COUNTY 18 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12067C 9/29/2006 LAFAYETTE COUNTY 56 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12069C 12/18/2012 LAKE COUNTY 94 12071C 12/7/2018 LEE COUNTY 20 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12071C 8/28/2008 LEE COUNTY 156 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12073C 8/18/2009 LEON COUNTY 86 12075C 1/18/2019 LEVY COUNTY 52 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12075C 11/2/2012 LEVY COUNTY 61 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12075C 2/3/2017 LEVY COUNTY 5 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12075C 9/9/9999 LEVY COUNTY 2 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12077C 6/18/2013 LIBERTY COUNTY 26 12079C 2/3/2017 MADISON COUNTY 5 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12079C 5/3/2010 MADISON COUNTY 72 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12079C 9/4/2020 MADISON COUNTY 32 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12081C 3/17/2014 MANATEE COUNTY 75 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12081C 8/10/2021 MANATEE COUNTY 78 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12083C MARION COUNTY 6 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12083C 4/19/2017 MARION COUNTY 64 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12083C 8/28/2008 MARION COUNTY 148 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12085C 2/19/2020 MARTIN COUNTY 46 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12085C 3/16/2015 MARTIN COUNTY 32 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12086C 9/11/2009 MIAMI-DADE COUNTY 251 12087C 2/18/2005 MONROE COUNTY 183 12089C 12/17/2010 NASSAU COUNTY 62 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12089C 8/2/2017 NASSAU COUNTY 61 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12091C 12/6/2002 OKALOOSA COUNTY 2 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12091C 3/9/2021 OKALOOSA COUNTY 72 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12093C 7/16/2015 OKEECHOBEE COUNTY 42 12095C 6/20/2018 ORANGE COUNTY 6 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12095C 9/24/2021 ORANGE COUNTY 12 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12095C 9/25/2009 ORANGE COUNTY 44 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12097C 6/18/2013 OSCEOLA COUNTY 66 12099C 10/5/2017 PALM BEACH COUNTY 218 12101C 6/5/2020 PASCO COUNTY 31 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12101C 9/26/2014 PASCO COUNTY 145 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12103C 8/18/2009 PINELLAS COUNTY 1 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12103C 8/24/2021 PINELLAS COUNTY 108 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12103C 9/3/2003 PINELLAS COUNTY 26 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12105C 12/22/2016 POLK COUNTY 108 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12105C 9/28/2012 POLK COUNTY 16 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12107C 2/2/2012 PUTNAM COUNTY 105 12109C 12/7/2018 ST. JOHNS COUNTY 128 12111C 2/16/2012 ST. LUCIE COUNTY 38 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12111C 2/19/2020 ST. LUCIE COUNTY 43 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12113C 11/19/2021 SANTA ROSA COUNTY 103 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12113C 12/19/2006 SANTA ROSA COUNTY 40 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12115C 11/4/2016 SARASOTA COUNTY 141 12117C 9/28/2007 SEMINOLE COUNTY 38 12119C 6/5/2020 SUMTER COUNTY 40 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12119C 9/27/2013 SUMTER COUNTY 115 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12121C 2/3/2017 SUWANNEE COUNTY 10 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12121C 4/16/2013 SUWANNEE COUNTY 12 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12121C 8/28/2018 SUWANNEE COUNTY 3 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12121C 9/28/2007 SUWANNEE COUNTY 113 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12123C 2/1/2019 TAYLOR COUNTY 79 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12123C 5/4/2009 TAYLOR COUNTY 50 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12125C 11/2/2018 UNION COUNTY 8 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12125C 2/4/2009 UNION COUNTY 34 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12127C 2/19/2014 VOLUSIA COUNTY 59 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12127C 9/29/2017 VOLUSIA COUNTY 66 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12129C 9/26/2014 WAKULLA COUNTY 29 12131C 12/30/2020 WALTON COUNTY 63 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12131C 9/29/2010 WALTON COUNTY 95 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12133C 7/4/2011 WASHINGTON COUNTY 37 Please Note: This table was created by adding the Study_info table's CNTY_NM field to the S_FIRM_Pan field via a table join based on DFIRM_ID. EFF_DATE_SUM = [DFIRM_ID] &amp; " " &amp; [EFF_DATE] &amp; " " &amp; [CNTY_NM] -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- ** What is a "100-year flood" and how is it different from a "1-percent-annual-chance flood" or a "base flood?" ** The term "100-year flood" is misleading. It is not the flood that will occur once every 100 years. Rather, it is the flood that has a 1-percent chance of being equaled or exceeded each year. Thus, the 100-year flood could occur more than once in a relatively short period of time or even within the same month. Because this term is misleading, FEMA has also defined it as the "1-percent-annual-chance flood." The "1-percent-annual-chance flood" is the term that is now used by most federal and state agencies and by the National Flood Insurance Program. SOURCE: https://www.fema.gov/frequently-asked-questions/insurance-professionals-lenders-frequently-asked-questions -------------------------------------------------------------------------------- ** The following FEMA DFIRM information is from the frm_gsalb.pdf ** Table: S_Fld_Haz_Ar This table is required for all draft Digital Flood Insurance Rate Map data. The S_Fld_Haz_Ar table contains information about the flood hazards within the study area. A spatial file with locational information also corresponds with this data table. These zones are used by the federal Emergency Management Agency (FEMA) to designate the Special Flood Hazard Area (SFHA) and for insurance rating purposes. These data are the flood hazard areas that are or will be depicted on the Flood Insurance Rate Map (FIRM). A spatial file with locational information also corresponds with this data table. The spatial elements representing the flood zones are polygons. The entire area of the jurisdiction(s) mapped by the FIRM should have a corresponding flood zone polygon. There is one polygon for each contiguous flood zone designated. This is a modified Standard DFIRM Database table that includes Standard DFIRM Database items and Enhanced Database items. All items after SOURCE_CIT are Enhanced. Table: D_Zone Where the 1-percent-annual-chance flood or the 0.2-percent-annual-chance flood is contained in a culvert or channel, a corresponding feature appears in the S_Fld_Haz_Ar table only if an SFHA or 0.2-percent-annual-chance flood zone is shown on the FIRM in this area. In general, these culverts and channels are to be represented in the general structure table regardless of how the flood insurance risk zones are depicted. So, if these structures are shown on the FIRM as a dashed line passing through a Zone X, no corresponding flood insurance risk zone is shown in S_Fld_Haz_Ar table in the DFIRM database. If a narrow SFHA or 0.2-percent-annual-chance flood zone is shown on the FIRM, then a narrow polygon must be included in the DFIRM database. If the width of this flood insurance risk zone is accurately known and represented in the spatial data, the normal flood insurance risk zone is applied. If the width of the flood insurance risk zone is not accurately known and represented because of scale limitations, then the zone is designated as 1-percent-annual-chance flood contained in channel or 0.2-percent-annual-chance flood contained in channel as appropriate. ZONE_LID FLD_ZONE 1000 A 1001 AE 1002 AH 1003 AO 1004 AR 1005 1 PCT ANNUAL CHANCE FLOOD HAZARD CONTAINED IN CHANNEL 1006 1 PCT FUTURE CONDITIONS 1007 A99 1008 V 1009 VE 2000 0.2 PCT ANNUAL CHANCE FLOOD HAZARD 2001 0.2 PCT ANNUAL CHANCE FLOOD HAZARD CONTAINED IN CHANNEL 3000 AREA NOT INCLUDED 4000 D 4001 X PROTECTED BY LEVEE 4002 X 5000 OPEN WATER Flood Zone. This is the flood insurance risk zone designation. These zones are used by the Federal Emergency Management Agency (FEMA) to designate Special Flood Hazard Areas (SFHAs) and for insurance rating purposes. Some older FEMA FIRMs were prepared in the Standard format that uses Zones B, C and numbered A and V zones. Newer FIRMs use the Map Initiatives format where the B corresponds to 0.2 pct ANNUAL CHANCE FLOOD HAZARD; C corresponds to Zone X; numbered A zones (e.g., A1, A2, A3) correspond to Zone AE; and numbered V zones (e.g., V1, V2, V3) correspond to Zone VE. All Digital Flood Insurance Rate Maps (DFIRMs) should use the Map Initiatives zone designations. See Volume 1, Subsection 1.4.6.1.5 of these Guidelines for details on the flood insurance risk zones. (NOTE: The symbol '%' is a reserved symbol in most software packages so the word 'percent' was abbreviated to 'pct'.) Table: D_Floodway FLDWAY_LID FLOODWAY 1000 FLOODWAY 1010 COLORADO RIVER 1020 FLOODWAY CONTAINED IN CHANNEL 1030 FLOWAGE EASEMENT BOUNDARY 1040 STATE ENCROACHMENT 1050 AREA OF SPECIAL CONSIDERATION Table: D_Length_Units LEN_LID LEN_UNIT 1000 CENTIMETERS 1010 FEET 1020 INCHES 1030 KILOMETERS 1040 METERS 1050 MILES 1060 MILLIMETERS Table: D_Velocity_Units VEL_LID VEL_UNIT 1000 CENTIMETERS / DAY 1010 CENTIMETERS / HOUR 1020 FEET / SECOND 1030 INCHES / DAY 1040 INCHES / HOUR 1050 METERS / SECOND 1060 MICROMETERS / SECOND 1070 MILLIMETERS / DAY 1080 MILLIMETERS / HOUR --------------------------------------------------------------------------------</supplinf></descript><timeperd><timeinfo><rngdates><begdate>20010606</begdate><enddate>20211215</enddate></rngdates></timeinfo><current>publication date</current></timeperd><status><progress>Complete</progress><update>As needed</update></status><spdom><bounding><westbc>-87.639269</westbc><eastbc>-79.870652</eastbc><northbc>31.042672</northbc><southbc>24.472142</southbc></bounding></spdom><keywords><theme><themekt>ISO 19115 Topic Category</themekt><themekey>inlandWaters</themekey></theme><theme><themekt>None</themekt><themekey>Riverine flooding</themekey><themekey>FLOOD HAZARD</themekey><themekey>FEMA</themekey><themekey>SFHA</themekey><themekey>Flood Insurance Rate Map</themekey><themekey>FEMA Flood Hazard Zone</themekey><themekey>FIRM</themekey><themekey>inlandWaters</themekey><themekey>Special Flood Hazard Area</themekey><themekey>DFIRM</themekey><themekey>environment</themekey><themekey>Digital Flood Insurance Rate Map</themekey><themekey>NFIP</themekey><themekey>FLOOD</themekey><themekey>DFIRM Database</themekey><themekey>Floodway</themekey></theme><place><placekt>None</placekt><placekey>Florida</placekey></place><temporal><tempkt>None</tempkt><tempkey>2021</tempkey><tempkey>20211215</tempkey></temporal></keywords><accconst>None</accconst><useconst>FEMA Disclaimer: No warranty expressed or implied is made by FEMA regarding the utility of the data on any other system nor shall the act of distribution constitute any such warranty. FEMA will warrant the delivery of this product in a computer-readable format, and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer input peripherals, or when the physical medium is delivered in damaged condition. Requests for adjustment of credit must be made within 90 days from the date of this shipment from the ordering site. The hardcopy FIRM and FIRM Database and the accompanying FIS are the official designation of SFHAs and Base Flood Elevations (BFEs) for the NFIP. For the purposes of the NFIP, changes to the flood risk information published by FEMA may only be performed by FEMA and through the mechanisms established in the NFIP regulations (44 CFR Parts 59-78). These digital data are produced in conjunction with the hardcopy FIRMs and generally match the hardcopy map exactly. Acknowledgement of FEMA would be appreciated in products derived from these data.</useconst><ptcontac><cntinfo><cntorgp><cntorg>Federal Emergency Management Agency</cntorg></cntorgp><cntpos>Federal Insurance and Mitigation Administration</cntpos><cntaddr><addrtype>mailing</addrtype><address>500 C Street SW</address><city>Washington</city><state>DC</state><postal>20472</postal><country>US</country></cntaddr><cntvoice>(202) 646-2500</cntvoice><cntemail>www.msc.fema.gov</cntemail></cntinfo></ptcontac><datacred>FEMA</datacred><native> Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362</native><crossref><citeinfo><origin>Federal Emergency Management Agency</origin><pubdate>20211215</pubdate><title>NFHL Data-State (FL)</title><geoform>vector digital data</geoform><pubinfo><pubplace>500 C Street SW, Washington, DC, 20472, US</pubplace><publish>Federal Emergency Management Agency</publish></pubinfo><othercit>FEMA Flood Map Service Center https://msc.fema.gov/portal/advanceSearch FEMA FIRM Database Technical Reference (available in the FEMA Library at https://www.fema.gov/media-library/assets/documents/34519).</othercit></citeinfo></crossref></idinfo><dataqual><attracc><attraccr>GeoPlan relied on the integrity of the attribute information within the original data.</attraccr></attracc><logic>When FEMA revises an FIS, adjacent studies are checked to ensure agreement between flood elevations at the boundaries. Likewise flood elevations at the confluence of streams studied independently are checked to ensure agreement at the confluence. The FIRM and the FIS are developed together and care is taken to ensure that the elevations and other features shown on the flood profiles in the FIS agree with the information shown on the FIRM. However, the elevations as shown on the FIRM are rounded whole-foot elevations. They must be shown so that a profile recreated from the elevations on the FIRM will match the FIS profiles within one half of one foot.</logic><complete>Data contained in the NFHL reflects the content of the source materials. Features may have been eliminated or generalized on the source graphic, due to scale and legibility constraints. With new mapping, FEMA plans to maintain full detail in the spatial data it produces. However, older information is often transferred from existing maps where some generalization has taken place. Flood risk data are developed for communities participating in the NFIP for use in insurance rating and for floodplain management. Flood hazard areas are determined using statistical analyses of records of river flow, storm tides, and rainfall; information obtained through consultation with the communities; floodplain topographic surveys; and hydrological and hydraulic analysis. Generally, regulatory water surface elevations and/or regulatory floodways are published only for developed or developing areas of communities. For areas where little or no development is expected to occur, FEMA may generate flood risk data without published water surface elevations. Typically, only drainage areas that are greater than one square mile and with an average of one foot of flood depth or greater are studied. Note: The NFHL reflects the most current information available when the distribution data set was created. Currently, not all areas of a State or Territory have effective FIRM Database data. As a result, users may need to refer to the effective FIRM for effective flood hazard information.</complete><posacc><horizpa><horizpar>The NFHL consists of vector files and associated attributes produced in conjunction with the hardcopy FEMA FIRM. The published effective FIRM and FIRM Database are issued as the official designation of the SFHAs. As such they are adopted by local communities and form the basis for administration of the NFIP. For these purposes they are authoritative. Provisions exist in the regulations for public review, appeals and corrections of the flood risk information shown to better match real world conditions. As with any engineering analysis of this type, variation from the estimated flood heights and floodplain boundaries is possible. Details of FEMA's requirements for the FISs and flood mapping process that produces these data are available in the Guidelines and Standards for Flood Risk Analysis and Mapping. Horizontal accuracy was tested by manual comparison of source graphics with hardcopy plots and a symbolized display on an interactive computer graphic system. Independent quality control testing of the individual FIRM Database components of the NFHL was also performed.</horizpar></horizpa><vertacc><vertaccr>The NFHL consists of vector files and associated attributes produced in conjunction with the hardcopy FEMA FIRM. The published effective FIRM and FIRM Database are issued as the official designation of the SFHAs. As such they are adopted by local communities and form the basis for administration of the NFIP. For these purposes they are authoritative. Provisions exist in the regulations for public review, appeals and corrections of the flood risk information shown to better match real world conditions. As with any engineering analysis of this type, variation from the estimated flood heights and floodplain boundaries is possible. Details of FEMA's requirements for the FISs and flood mapping process that produces these data are available in the Guidelines and Standards for Flood Risk Analysis and Mapping. The reliability of the floodplain boundary delineation is quantified by comparing the computed flood elevation to the ground elevation at the mapped floodplain boundary. The tolerance for how precisely the flood elevation and the ground elevation must match varies based on the flood risk class, which is a function of population, population density, and/or anticipated growth in floodplain areas. A horizontal accuracy of +/- 38 feet is used to determine the compliance with the vertical tolerances defined for each risk class. The range of differences between the ground elevation (defined from the topographic data used for the Flood Risk Project) and the computed flood elevation is between +/- 1.0 foot at the 95% confidence interval for areas with high population within the floodplain and/or high anticipated growth and Special Flood Hazard Areas (SFHAs) with high flood risk to +/- one-half the contour interval at the 85% confidence interval for areas with low population and densities within the floodplain and small or no anticipated growth and SFHAs with low flood risk. Independent quality control testing of the individual FIRM Database components of the NFHL was also performed.</vertaccr></vertacc></posacc><lineage><srcinfo><srccite><citeinfo><origin>Federal Emergency Management Agency</origin><pubdate>20211215</pubdate><title>Digital Flood Insurance Rate Map</title><geoform>vector digital data</geoform><pubinfo><pubplace>Washington, D.C.</pubplace><publish>Federal Emergency Management Agency</publish></pubinfo><othercit>National Flood Hazard Layer</othercit><onlink>https://msc.fema.gov</onlink></citeinfo></srccite><srcscale>12000</srcscale><typesrc>onLine</typesrc><srctime><timeinfo><sngdate><caldate>20211215</caldate></sngdate></timeinfo><srccurr>USA</srccurr></srctime><srccitea>FEMA</srccitea><srccontr>Spatial and Attribute Information</srccontr></srcinfo><procstep><procdesc>The NFHL dataset is a compilation of effective FIRM Databases (a collection of the digital data that are used in GIS systems for creating new Flood Insurance Rate Maps) and Letters of Map Change (Letters of Map Amendment and Letters of Map Revision only) that create a seamless GIS data layer for a State or Territory. It is updated on a monthly basis. The FIRM Databases are compiled in conjunction with the hardcopy FIRMs and the final FIS reports. The specifics of the hydrologic and hydraulic analyses performed are detailed in the FIS reports available for each jurisdiction. The results of these studies are submitted in digital format to FEMA. These data and unrevised data from effective FIRMs are compiled onto the base map used for FIRM publication and checked for accuracy and compliance with FEMA standards. As new FIRM Databases are received the individual FIRM layers are sewn into the nationwide layers of the NFHL. LOMRs for the FIRM Databases in the NFHL are cut directly into the NFHL data layers as they are being produced and finalized.</procdesc><srcused>FEMA</srcused><procdate>20211215</procdate></procstep><procstep><procdesc>The GeoPlan Center downloaded the Statewide National Flood Hazard Layer from the following FEMA website on December 20th, 2021. FEMA Flood Map Service Center https://msc.fema.gov/portal Search All Products https://msc.fema.gov/portal/advanceSearch Choose one of the three search options below and optionally enter a posting date range. https://msc.fema.gov/portal/advanceSearch State -FLORIDA County - ALACHUA Community - ALACHUA Search Effective Products NFHL Data-State(1) Product ID Product ID: NFHL_12_20211215 Latest Study Effective Date: 11/19/2021 Latest LOMR Effective Date: 12/16/2021 DL:Download Product NFHL_12_20211215 NFHL_12_20211215.zip NFHL_12_20211215.gdb Feature Layer: S_Fld_Haz_Ar The S_Fld_Haz_Ar was originally in the following projection: GCS_North_American_1983 WKID: 4269 Authority: EPSG Angular Unit: Degree (0.0174532925199433) Prime Meridian: Greenwich (0.0) Datum: D_North_American_1983 Spheroid: GRS_1980 Semimajor Axis: 6378137.0 Semiminor Axis: 6356752.314140356 Inverse Flattening: 298.257222101 The dataset was projected to the FGDL Albers HARN projection using the following Transformation: NAD_1983_To_HARN_Florida The dataset was renamed to dfirm_fldhaz_dec21. Next the following fields were added and populated: PRODUCT_ID = "NFHL_12_20211215" FLOODPLAIN = See Crosswalk Table Below RISK_LEVEL = See Crosswalk Table Below FHZ_LABEL = See Crosswalk Table 2 Below DESCRIPT = [SFHA_TF] field Description [SFHA_TF] = "T" : INSIDE SPECIAL FLOOD HAZARD AREA [SFHA_TF] = "F" : OUTSIDE SPECIAL FLOOD HAZARD AREA FGDLAQDATE = "12/20/2021" AUTOID = OBJECTID Crosswalk Table This crosswalk table was used to populate the FLOODPLAIN and RISK_LEVEL fields. The crosswalk table / shapefile join was based on the FLDZ field in the table and the FLDZONE field within the shapefile. FLDZ FDLZ_DSCPT FLOODPLAIN B MODERATE TO LOW RISK AREAS OUTSIDE FLOODPLAIN C MODERATE TO LOW RISK AREAS OUTSIDE FLOODPLAIN X MODERATE TO LOW RISK AREAS OUTSIDE FLOODPLAIN A HIGH RISK AREAS 100-YEAR FLOODPLAIN AE HIGH RISK AREAS 100-YEAR FLOODPLAIN A1 HIGH RISK AREAS 100-YEAR FLOODPLAIN A2 HIGH RISK AREAS 100-YEAR FLOODPLAIN A3 HIGH RISK AREAS 100-YEAR FLOODPLAIN A4 HIGH RISK AREAS 100-YEAR FLOODPLAIN A5 HIGH RISK AREAS 100-YEAR FLOODPLAIN A6 HIGH RISK AREAS 100-YEAR FLOODPLAIN A7 HIGH RISK AREAS 100-YEAR FLOODPLAIN A8 HIGH RISK AREAS 100-YEAR FLOODPLAIN A9 HIGH RISK AREAS 100-YEAR FLOODPLAIN A10 HIGH RISK AREAS 100-YEAR FLOODPLAIN A11 HIGH RISK AREAS 100-YEAR FLOODPLAIN A12 HIGH RISK AREAS 100-YEAR FLOODPLAIN A13 HIGH RISK AREAS 100-YEAR FLOODPLAIN A14 HIGH RISK AREAS 100-YEAR FLOODPLAIN A15 HIGH RISK AREAS 100-YEAR FLOODPLAIN A16 HIGH RISK AREAS 100-YEAR FLOODPLAIN A17 HIGH RISK AREAS 100-YEAR FLOODPLAIN A18 HIGH RISK AREAS 100-YEAR FLOODPLAIN A19 HIGH RISK AREAS 100-YEAR FLOODPLAIN A20 HIGH RISK AREAS 100-YEAR FLOODPLAIN A21 HIGH RISK AREAS 100-YEAR FLOODPLAIN A22 HIGH RISK AREAS 100-YEAR FLOODPLAIN A23 HIGH RISK AREAS 100-YEAR FLOODPLAIN A24 HIGH RISK AREAS 100-YEAR FLOODPLAIN A25 HIGH RISK AREAS 100-YEAR FLOODPLAIN A26 HIGH RISK AREAS 100-YEAR FLOODPLAIN A27 HIGH RISK AREAS 100-YEAR FLOODPLAIN A28 HIGH RISK AREAS 100-YEAR FLOODPLAIN A29 HIGH RISK AREAS 100-YEAR FLOODPLAIN A30 HIGH RISK AREAS 100-YEAR FLOODPLAIN AH HIGH RISK AREAS 100-YEAR FLOODPLAIN AO HIGH RISK AREAS 100-YEAR FLOODPLAIN AR HIGH RISK AREAS 100-YEAR FLOODPLAIN A99 HIGH RISK AREAS 100-YEAR FLOODPLAIN D UNDETERMINED UNDETERMINED V HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN VE HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V1 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V2 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V3 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V4 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V5 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V6 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V7 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V8 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V9 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V10 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V11 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V12 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V13 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V14 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V15 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V16 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V17 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V18 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V19 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V20 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V21 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V22 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V23 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V24 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V25 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V26 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V27 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V28 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V29 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V30 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN OPEN WATER OPEN WATER OPEN WATER A second calculation was done for the following where FLD_ZONE = X and field ZONE_SUBTY combinations existed, see below. 0.2 PCT* MODERATE RISK AREAS 500-YEAR FLOODPLAIN 1 PCT DEPTH LESS THAN 1 FOOT MODERATE RISK AREAS 500-YEAR FLOODPLAIN AREA WITH REDUCED FLOOD RISK DUE TO LEVEE MODERATE RISK AREAS 500-YEAR FLOODPLAIN Crosswalk Table 2 This crosswalk table was used to populate the FHZ_LABEL field. Text description of flood zones for map legends based on the FLD_ZONE and ZONE_SUBTY fields Calculated Zone Descriptions for field FLD_ZONE = A, AE, AH, AO, AR, A99, V and VE as 1% ANNUAL CHANCE FLOOD HAZARD Calculated Zone Descriptions for field FLD_ZONE = AREA NOT INCLUDED as AREA NOT INCLUDED Calculated Zone Descriptions for field FLD_ZONE = D as AREA OF UNDETERMINED FLOOD HAZARD Calculated Zone Descriptions for field FLD_ZONE = OPEN WATER as OPEN WATER Next Calculated Zone Descriptions for field ZONE_SUBTY = 0.2 PCT ANNUAL CHANCE FLOOD HAZARD as 0.2% ANNUAL CHANCE FLOOD HAZARD 0.2 PCT ANNUAL CHANCE FLOOD HAZARD CONTAINED IN CHANNEL as 0.2% ANNUAL CHANCE FLOOD HAZARD 1 PCT DEPTH LESS THAN 1 FOOT as 0.2% ANNUAL CHANCE FLOOD HAZARD AREA OF MINIMAL FLOOD HAZARD as AREA OF MINIMAL FLOOD HAZARD AREA WITH REDUCED FLOOD RISK DUE TO LEVEE as AREA WITH REDUCED RISK DUE TO LEVEE FLOODWAY as REGULATORY FLOODWAY RIVERINE FLOODWAY SHOWN IN COASTAL ZONE as REGULATORY FLOODWAY - It was noted that sliver polygons existed. However, no methodology was performed by GeoPlan to correct for these issues. For more information on FEMA's Final Data Structure concerning sliver polygons please see below. The FEMA report frm_gsal.pdf states the following regarding sliver polygons. L.3.5.2 Topology Vector data files must meet the following data structure requirements: * Area spatial features for a given theme must cover the entire study area without overlaps, underlaps or sliver polygons between adjacent polygons. - Next Deleted the following 3 features due to spatial errors: * 12059C_235984 (Duplicate Polygon), * 12111C_1676 (Zero Area), * 12097C_1170 (Negative Area). - It was noted that over 100 features had vertex counts greater than 350,000. Features with large vertex counts are known to cause database analysis crashes and errors. The ArcGIS Dice Tool subdivides a feature into smaller features based on a specified vertex limit. This tool is intended as a way to subdivide extremely large features that cause issues with drawing, analysis, editing, and/or performance but are difficult to split up with standard editing and geoprocessing tools. This tool should not be used in any cases other than those where tools are failing to complete successfully due to the size of features. Source: https://desktop.arcgis.com/en/arcmap/latest/tools/data-management-toolbox/dice.htm -The features were subdivided using the ArcGIS Dice Tool with a vertex limit of 350,000. - Duplicate features/records were found in the following county; Clay County, this duplication impacted the following datasets; BFE, FLDHAZ &amp; PANEL. - First GeoPlan reviewed the duplicate features where the dataset specific unique id count was greater than 1. - Dataset specific unique ids are as follows: - BFE = BFE_FN_ID - CBRS = CBRS_ID - FLDHAZ = FLD_AR_ID - PANEL = FIRM_ID - Summarized on Dataset specific unique ids with MAX and Min boxes check for AUTOID and AREA. - Exported the duplicates and checked to make sure the areas of each suspect duplicate matched (they did). - Joined this table back to the full dataset on the Max AUTOID field. - Ran a selection to grab just these records where the Max AUTOID matched. - Ran Switch selection set and exported out the full dataset without the extra duplicate records. - This process was used to clean all three datasets impacted.</procdesc><srcused>GeoPlan</srcused><procdate>20211220</procdate><proccont><cntinfo><cntorgp><cntorg>University of Florida GeoPlan Center</cntorg><cntper>Kate Norris</cntper></cntorgp><cntpos>Geospatial Data Manager &amp; Senior GIS Specialist</cntpos><cntaddr><addrtype>mailing and physical</addrtype><address>131 Architecture Building | PO Box 115706</address><city>Gainesville</city><state>FL</state><postal>32611-5706</postal><country>US</country></cntaddr><cntvoice>www.fgdl.org</cntvoice><cntemail>data@fgdl.org</cntemail></cntinfo></proccont></procstep></lineage></dataqual><spdoinfo><direct>Vector</direct><ptvctinf><sdtsterm><sdtstype>GT-polygon composed of chains</sdtstype><ptvctcnt>441725</ptvctcnt></sdtsterm></ptvctinf></spdoinfo><spref><horizsys><planar><mapproj><mapprojn>NAD 1983 HARN Florida GDL Albers</mapprojn><albers><stdparll>24.0</stdparll><stdparll>31.5</stdparll><longcm>-84.0</longcm><latprjo>24.0</latprjo><feast>400000.0</feast><fnorth>0.0</fnorth></albers></mapproj><planci><plance>coordinate pair</plance><coordrep><absres>0.000000004429812072714868</absres><ordres>0.000000004429812072714868</ordres></coordrep><plandu>meter</plandu></planci></planar><geodetic><horizdn>D North American 1983 HARN</horizdn><ellips>GRS 1980</ellips><semiaxis>6378137.0</semiaxis><denflat>298.257222101</denflat></geodetic></horizsys></spref><eainfo><detailed><enttyp><enttypl>DFIRM_100_FLOODZONES_DEC21</enttypl><enttypd>DFIRM_100_FLOODZONES_DEC21</enttypd><enttypds>FEMA</enttypds></enttyp><attr><attrlabl>OBJECTID</attrlabl><attrdef>Internal feature number.</attrdef><attrdefs>Esri</attrdefs><attrdomv><udom>Sequential unique whole numbers that are automatically generated.</udom></attrdomv></attr><attr><attrlabl>VALUE</attrlabl></attr><attr><attrlabl>COUNT</attrlabl></attr><attr><attrlabl>DESCRIPT</attrlabl><attrdef>Based on SFHA_TF field description.</attrdef><attrdefs>GeoPlan</attrdefs><attrdomv><edom><edomv>INSIDE SPECIAL FLOOD HAZARD AREA</edomv><edomvd>[SFHA_TF] - "T" value description.</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv><attrdomv><edom><edomv>OUTSIDE SPECIAL FLOOD HAZARD AREA</edomv><edomvd>[SFHA_TF] - "F" value description.</edomvd><edomvds>Producer defined</edomvds></edom></attrdomv></attr></detailed><overview><eaover>
The DFIRM Database is made up of several data themes containing both spatial 
and attribute information. These data together represent the current flood risk for the
subject area as identified by FEMA. The attribute tables include SFHA locations, 
flood zone designations, BFEs, political entities, cross-section locations, FIRM panel
information, and other data related to the NFIP.

Table containing attribute information associated with the data set.
FEMA FIRM Database Technical Reference 
(available in the FEMA Library at http://www.fema.gov/media-library/assets/documents/34519).
</eaover><eadetcit>
Appendix L of FEMA's Guidelines and Specifications for FEMA Flood Hazard 
Mapping Partners contains a detailed description of each attribute code and a 
reference to other relevant information. The following tables are included in this data
set: l_comm_info l_stn_start study_info s_bfe s_base_index s_firm_pan 
s_fld_haz_ar s_fld_haz_ln s_gen_struct s_label_ld s_perm_bmk s_pol_ar s_pol_ln 
s_quad_index s_wtr_ln s_xs s_label_pt

Attribute Definition Information can be found in the following reference:
FEMA FIRM Database Technical Reference (available in the FEMA Library at 
http://www.fema.gov/media-library/assets/documents/34519)
</eadetcit></overview></eainfo><distinfo><distrib><cntinfo><cntorgp><cntorg>Florida Geographic Data Library (FGDL)</cntorg></cntorgp><cntaddr><addrtype>mailing</addrtype><address>431 Architecture PO Box 115706</address><city>Gainesville</city><state>Florida</state><postal>32611-5706</postal><country>US</country></cntaddr><cntemail>Software Support: https://www.geoplan.ufl.edu/software/</cntemail></cntinfo></distrib><resdesc>DOWNLOADABLE DATA</resdesc><distliab>The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: https://www.geoplan.ufl.edu/</distliab><stdorder><digform><digtinfo><formname>Vector Digital Data Set (Polygon)</formname></digtinfo><digtopt><onlinopt><computer><networka><networkr>www.fgdl.org</networkr></networka></computer></onlinopt></digtopt></digform><fees>Contact Distributor</fees></stdorder><techpreq>This data is intended for use with a Geographic Information Systems or Remote Sensing software package.</techpreq></distinfo><metainfo><metd>20220121</metd><metc><cntinfo><cntorgp><cntorg>Federal Emergency Management Agency</cntorg><cntper>Flood Map Service Center</cntper></cntorgp><cntpos>Federal Insurance and Mitigation Administration</cntpos><cntaddr><addrtype>mailing</addrtype><address>500 C Street SW</address><city>Washington</city><state>DC</state><postal>20472</postal><country>US</country></cntaddr><cntvoice>1-800-358-9616</cntvoice><cntemail>www.msc.fema.gov</cntemail></cntinfo></metc><metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn><metstdv>FGDC-STD-001-1998</metstdv><mettc>local time</mettc></metainfo><mdLang><languageCode value="eng" /></mdLang><mdChar><CharSetCd value="004" /></mdChar><mdHrLv><ScopeCd value="005" /></mdHrLv><mdContact><rpIndName>Flood Map Service Center</rpIndName><rpOrgName>Federal Emergency Management Agency</rpOrgName><rpPosName>Federal Insurance and Mitigation Administration</rpPosName><rpCntInfo><cntPhone><voiceNum>1-800-358-9616</voiceNum></cntPhone><cntAddress addressType="postal"><delPoint>500 C Street SW</delPoint><city>Washington</city><adminArea>DC</adminArea><postCode>20472</postCode><country>US</country><eMailAdd>www.msc.fema.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="007" /></role></mdContact><mdDateSt>20220121</mdDateSt><mdStanName>ArcGIS Metadata</mdStanName><mdStanVer>1.0</mdStanVer><distInfo><distributor><distorCont><rpOrgName>Florida Geographic Data Library (FGDL)</rpOrgName><rpCntInfo><cntAddress addressType="postal"><delPoint>431 Architecture PO Box 115706</delPoint><city>Gainesville</city><adminArea>Florida</adminArea><postCode>32611-5706</postCode><country>US</country><eMailAdd>Software Support: https://www.geoplan.ufl.edu/software/</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="005" /></role></distorCont><distorOrdPrc><resFees>Contact Distributor</resFees></distorOrdPrc><distorFormat><formatName>Vector Digital Data Set (Polygon)</formatName><formatTech>This data is intended for use with a Geographic Information Systems or Remote Sensing software package.</formatTech></distorFormat><distorTran><onLineSrc><linkage>www.fgdl.org</linkage></onLineSrc></distorTran><distorTran><onLineSrc><orDesc>DOWNLOADABLE DATA</orDesc></onLineSrc></distorTran></distributor><distTranOps><onLineSrc><linkage>https://msc.fema.gov/portal/advanceSearch</linkage></onLineSrc></distTranOps></distInfo><dataIdInfo><idCitation><resTitle>Digital Flood Insurance Rate Map (DFIRM) in the State of Florida - 100 Year Flood Zones - December 2021</resTitle><date><pubDate>2021-12-15</pubDate></date><resEd>NFHL Florida Data Product ID: NFHL_12_20211215, ESRI FGDB</resEd><citRespParty><rpOrgName>Federal Emergency Management Agency</rpOrgName><rpCntInfo><cntAddress><delPoint>500 C Street SW, Washington, DC, 20472, US</delPoint></cntAddress></rpCntInfo><role><RoleCd value="010" /></role></citRespParty><citRespParty><rpOrgName>Federal Emergency Management Agency</rpOrgName><role><RoleCd value="006" /></role></citRespParty><presForm><fgdcGeoform>Vector Digital Data Set (Polygon)</fgdcGeoform></presForm><otherCitDet>State of Florida</otherCitDet></idCitation><idAbs>This is a raster data set with a 10-meter cell size based on the DFIRM_FLDHAZ vector layer. This layer includes breakdown of all 100 year flood zones (A, AE, AH, AO, VE).</idAbs><idPurp>This raster layer is based off the vector layer DFIRM_FLDHAZ and is used to increase performance with ETDM analysis.</idPurp><idCredit>FEMA</idCredit><idStatus><ProgCd value="001" /></idStatus><idPoC><rpOrgName>Federal Emergency Management Agency</rpOrgName><rpPosName>Federal Insurance and Mitigation Administration</rpPosName><rpCntInfo><cntPhone><voiceNum>(202) 646-2500</voiceNum></cntPhone><cntAddress addressType="postal"><delPoint>500 C Street SW</delPoint><city>Washington</city><adminArea>DC</adminArea><postCode>20472</postCode><country>US</country><eMailAdd>www.msc.fema.gov</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="007" /></role></idPoC><resMaint><maintFreq><MaintFreqCd value="009" /></maintFreq></resMaint><placeKeys><keyword>Florida</keyword></placeKeys><tempKeys><keyword>2021</keyword><keyword>20211215</keyword></tempKeys><themeKeys><keyword>inlandWaters</keyword><thesaName><resTitle>ISO 19115 Topic Category</resTitle></thesaName></themeKeys><themeKeys><keyword>environment</keyword><keyword>FLOOD HAZARD</keyword><keyword>SFHA</keyword><keyword>DFIRM</keyword><keyword>NFIP</keyword><keyword>Floodway</keyword><keyword>FEMA Flood Hazard Zone</keyword><keyword>Flood Insurance Rate Map</keyword><keyword>Special Flood Hazard Area</keyword><keyword>Riverine flooding</keyword><keyword>FLOOD</keyword><keyword>Digital Flood Insurance Rate Map</keyword><keyword>FEMA</keyword><keyword>FIRM</keyword><keyword>DFIRM Database</keyword><keyword>inlandWaters</keyword></themeKeys><searchKeys><keyword>environment</keyword><keyword>FLOOD HAZARD</keyword><keyword>SFHA</keyword><keyword>DFIRM</keyword><keyword>NFIP</keyword><keyword>Floodway</keyword><keyword>FEMA Flood Hazard Zone</keyword><keyword>Flood Insurance Rate Map</keyword><keyword>Special Flood Hazard Area</keyword><keyword>Riverine flooding</keyword><keyword>Florida</keyword><keyword>FLOOD</keyword><keyword>Digital Flood Insurance Rate Map</keyword><keyword>FEMA</keyword><keyword>FIRM</keyword><keyword>2021</keyword><keyword>inlandWaters</keyword><keyword>20211215</keyword><keyword>DFIRM Database</keyword><keyword>inlandWaters</keyword></searchKeys><resConst><LegConsts><useLimit>The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: https://www.geoplan.ufl.edu/</useLimit></LegConsts></resConst><resConst><Consts><useLimit>FEMA Disclaimer: No warranty expressed or implied is made by FEMA regarding the utility of the data on any other system nor shall the act of distribution constitute any such warranty. FEMA will warrant the delivery of this product in a computer-readable format, and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer input peripherals, or when the physical medium is delivered in damaged condition. Requests for adjustment of credit must be made within 90 days from the date of this shipment from the ordering site. The hardcopy FIRM and FIRM Database and the accompanying FIS are the official designation of SFHAs and Base Flood Elevations (BFEs) for the NFIP. For the purposes of the NFIP, changes to the flood risk information published by FEMA may only be performed by FEMA and through the mechanisms established in the NFIP regulations (44 CFR Parts 59-78). These digital data are produced in conjunction with the hardcopy FIRMs and generally match the hardcopy map exactly. Acknowledgement of FEMA would be appreciated in products derived from these data.</useLimit></Consts></resConst><aggrInfo><aggrDSName><resTitle>NFHL Data-State (FL)</resTitle><date><pubDate>2021-12-15</pubDate></date><citRespParty><rpOrgName>Federal Emergency Management Agency</rpOrgName><role><RoleCd value="006" /></role></citRespParty><citRespParty><rpOrgName>Federal Emergency Management Agency</rpOrgName><rpCntInfo><cntAddress><delPoint>500 C Street SW, Washington, DC, 20472, US</delPoint></cntAddress></rpCntInfo><role><RoleCd value="010" /></role></citRespParty><presForm><PresFormCd value="005" /></presForm><presForm><fgdcGeoform>vector digital data</fgdcGeoform></presForm><otherCitDet>FEMA Flood Map Service Center https://msc.fema.gov/portal/advanceSearch FEMA FIRM Database Technical Reference (available in the FEMA Library at https://www.fema.gov/media-library/assets/documents/34519).</otherCitDet></aggrDSName><assocType><AscTypeCd value="001" /></assocType></aggrInfo><spatRpType><SpatRepTypCd value="001" /></spatRpType><dataLang><languageCode value="eng" /></dataLang><tpCat><TopicCatCd value="007" /></tpCat><tpCat><TopicCatCd value="012" /></tpCat><envirDesc>Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362</envirDesc><dataExt><geoEle><GeoBndBox><westBL>-87.639269</westBL><eastBL>-79.870652</eastBL><southBL>24.472142</southBL><northBL>31.042672</northBL></GeoBndBox></geoEle></dataExt><dataExt><exDesc>publication date</exDesc><tempEle><TempExtent><exTemp><TM_Period><tmBegin>2001-06-06</tmBegin><tmEnd>2021-12-15</tmEnd></TM_Period></exTemp></TempExtent></tempEle></dataExt><suppInfo>What Is an LFD? A Letter of Final Determination (LFD) is a letter the Federal Emergency Management Agency (FEMA) sends to the Chief Executive Officer of a community stating that a new or updated Flood Insurance Rate Map (FIRM) or Digital Flood Insurance Rate Map (DFIRM) will become effective in 6 months. The letter also notifies each affected flood prone community participating in the National Flood Insurance Program (NFIP) that it must adopt a compliant floodplain management ordinance by the map effective date to remain participants in good standing in the NFIP. DFIRM [S_FIRM_Pan] Panel Summary Table of Effective Date -------------------------------------------------------------------------------- DFIRM_ID EFF_DATE COUNTY PANEL_CNT NOTES 12001C 11/2/2018 ALACHUA COUNTY 12 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12001C 6/16/2006 ALACHUA COUNTY 91 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12001C 9/24/2021 ALACHUA COUNTY 9 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12003C 6/17/2008 BAKER COUNTY 75 12005C 6/2/2009 BAY COUNTY 168 12007C 11/2/2018 BRADFORD COUNTY 16 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12007C 5/2/2012 BRADFORD COUNTY 23 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12009C 1/29/2021 BREVARD COUNTY 90 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12009C 3/17/2014 BREVARD COUNTY 59 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12011C 8/18/2014 BROWARD COUNTY 103 12013C 6/18/2013 CALHOUN COUNTY 62 12015C 5/5/2003 CHARLOTTE COUNTY 123 12017C 1/15/2021 CITRUS COUNTY 46 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12017C 9/26/2014 CITRUS COUNTY 108 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12019C 3/17/2014 CLAY COUNTY 60 12021C 5/16/2012 COLLIER COUNTY 156 12023C 11/2/2018 COLUMBIA COUNTY 35 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12023C 2/4/2009 COLUMBIA COUNTY 84 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12027C 10/7/2021 DESOTO COUNTY 10 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12027C 11/6/2013 DESOTO COUNTY 78 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12029C 1/18/2019 DIXIE COUNTY 80 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12029C 4/18/2018 DIXIE COUNTY 26 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12029C 9/29/2006 DIXIE COUNTY 29 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12029C 9/9/9999 DIXIE COUNTY 1 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12031C 11/2/2018 DUVAL COUNTY 104 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12031C 6/3/2013 DUVAL COUNTY 76 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12033C 9/29/2006 ESCAMBIA COUNTY 104 12035C 6/6/2018 FLAGLER COUNTY 67 12037C 2/5/2014 FRANKLIN COUNTY 59 12039C 2/4/2009 GADSDEN COUNTY 87 12041C 1/19/2018 GILCHRIST COUNTY 28 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12041C 9/29/2006 GILCHRIST COUNTY 45 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12043C 3/6/2020 GLADES COUNTY 44 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12043C 9/26/2014 GLADES COUNTY 41 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12045C 3/9/2021 GULF COUNTY 93 12047C 6/4/2010 HAMILTON COUNTY 41 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12047C 8/28/2018 HAMILTON COUNTY 5 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12047C 9/4/2020 HAMILTON COUNTY 21 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12049C 11/6/2013 HARDEE COUNTY 96 12051C 5/15/2020 HENDRY COUNTY 15 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12051C 7/6/2015 HENDRY COUNTY 45 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12053C 1/15/2021 HERNANDO COUNTY 36 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12053C 2/2/2012 HERNANDO COUNTY 115 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12055C 11/18/2015 HIGHLANDS COUNTY 159 12057C 10/7/2021 HILLSBOROUGH COUNTY 99 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12057C 8/28/2008 HILLSBOROUGH COUNTY 143 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12057C 9/27/2013 HILLSBOROUGH COUNTY 1 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12059C 12/17/2010 HOLMES COUNTY 44 12061C 12/4/2012 INDIAN RIVER COUNTY 70 12063C 12/17/2010 JACKSON COUNTY 70 12065C 2/5/2014 JEFFERSON COUNTY 21 12067C 10/5/2017 LAFAYETTE COUNTY 18 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12067C 9/29/2006 LAFAYETTE COUNTY 56 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12069C 12/18/2012 LAKE COUNTY 94 12071C 12/7/2018 LEE COUNTY 20 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12071C 8/28/2008 LEE COUNTY 156 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12073C 8/18/2009 LEON COUNTY 86 12075C 1/18/2019 LEVY COUNTY 52 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12075C 11/2/2012 LEVY COUNTY 61 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12075C 2/3/2017 LEVY COUNTY 5 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12075C 9/9/9999 LEVY COUNTY 2 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12077C 6/18/2013 LIBERTY COUNTY 26 12079C 2/3/2017 MADISON COUNTY 5 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12079C 5/3/2010 MADISON COUNTY 72 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12079C 9/4/2020 MADISON COUNTY 32 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12081C 3/17/2014 MANATEE COUNTY 75 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12081C 8/10/2021 MANATEE COUNTY 78 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12083C MARION COUNTY 6 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12083C 4/19/2017 MARION COUNTY 64 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12083C 8/28/2008 MARION COUNTY 148 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12085C 2/19/2020 MARTIN COUNTY 46 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12085C 3/16/2015 MARTIN COUNTY 32 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12086C 9/11/2009 MIAMI-DADE COUNTY 251 12087C 2/18/2005 MONROE COUNTY 183 12089C 12/17/2010 NASSAU COUNTY 62 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12089C 8/2/2017 NASSAU COUNTY 61 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12091C 12/6/2002 OKALOOSA COUNTY 2 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12091C 3/9/2021 OKALOOSA COUNTY 72 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12093C 7/16/2015 OKEECHOBEE COUNTY 42 12095C 6/20/2018 ORANGE COUNTY 6 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12095C 9/24/2021 ORANGE COUNTY 12 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12095C 9/25/2009 ORANGE COUNTY 44 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12097C 6/18/2013 OSCEOLA COUNTY 66 12099C 10/5/2017 PALM BEACH COUNTY 218 12101C 6/5/2020 PASCO COUNTY 31 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12101C 9/26/2014 PASCO COUNTY 145 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12103C 8/18/2009 PINELLAS COUNTY 1 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12103C 8/24/2021 PINELLAS COUNTY 108 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12103C 9/3/2003 PINELLAS COUNTY 26 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12105C 12/22/2016 POLK COUNTY 108 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12105C 9/28/2012 POLK COUNTY 16 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12107C 2/2/2012 PUTNAM COUNTY 105 12109C 12/7/2018 ST. JOHNS COUNTY 128 12111C 2/16/2012 ST. LUCIE COUNTY 38 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12111C 2/19/2020 ST. LUCIE COUNTY 43 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12113C 11/19/2021 SANTA ROSA COUNTY 103 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12113C 12/19/2006 SANTA ROSA COUNTY 40 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12115C 11/4/2016 SARASOTA COUNTY 141 12117C 9/28/2007 SEMINOLE COUNTY 38 12119C 6/5/2020 SUMTER COUNTY 40 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12119C 9/27/2013 SUMTER COUNTY 115 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12121C 2/3/2017 SUWANNEE COUNTY 10 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12121C 4/16/2013 SUWANNEE COUNTY 12 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12121C 8/28/2018 SUWANNEE COUNTY 3 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12121C 9/28/2007 SUWANNEE COUNTY 113 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12123C 2/1/2019 TAYLOR COUNTY 79 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12123C 5/4/2009 TAYLOR COUNTY 50 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12125C 11/2/2018 UNION COUNTY 8 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12125C 2/4/2009 UNION COUNTY 34 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12127C 2/19/2014 VOLUSIA COUNTY 59 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12127C 9/29/2017 VOLUSIA COUNTY 66 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12129C 9/26/2014 WAKULLA COUNTY 29 12131C 12/30/2020 WALTON COUNTY 63 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12131C 9/29/2010 WALTON COUNTY 95 (COUNTY WITH MULTIPLE EFFECTIVE DATES) 12133C 7/4/2011 WASHINGTON COUNTY 37 Please Note: This table was created by adding the Study_info table's CNTY_NM field to the S_FIRM_Pan field via a table join based on DFIRM_ID. EFF_DATE_SUM = [DFIRM_ID] &amp; " " &amp; [EFF_DATE] &amp; " " &amp; [CNTY_NM] -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- ** What is a "100-year flood" and how is it different from a "1-percent-annual-chance flood" or a "base flood?" ** The term "100-year flood" is misleading. It is not the flood that will occur once every 100 years. Rather, it is the flood that has a 1-percent chance of being equaled or exceeded each year. Thus, the 100-year flood could occur more than once in a relatively short period of time or even within the same month. Because this term is misleading, FEMA has also defined it as the "1-percent-annual-chance flood." The "1-percent-annual-chance flood" is the term that is now used by most federal and state agencies and by the National Flood Insurance Program. SOURCE: https://www.fema.gov/frequently-asked-questions/insurance-professionals-lenders-frequently-asked-questions -------------------------------------------------------------------------------- ** The following FEMA DFIRM information is from the frm_gsalb.pdf ** Table: S_Fld_Haz_Ar This table is required for all draft Digital Flood Insurance Rate Map data. The S_Fld_Haz_Ar table contains information about the flood hazards within the study area. A spatial file with locational information also corresponds with this data table. These zones are used by the federal Emergency Management Agency (FEMA) to designate the Special Flood Hazard Area (SFHA) and for insurance rating purposes. These data are the flood hazard areas that are or will be depicted on the Flood Insurance Rate Map (FIRM). A spatial file with locational information also corresponds with this data table. The spatial elements representing the flood zones are polygons. The entire area of the jurisdiction(s) mapped by the FIRM should have a corresponding flood zone polygon. There is one polygon for each contiguous flood zone designated. This is a modified Standard DFIRM Database table that includes Standard DFIRM Database items and Enhanced Database items. All items after SOURCE_CIT are Enhanced. Table: D_Zone Where the 1-percent-annual-chance flood or the 0.2-percent-annual-chance flood is contained in a culvert or channel, a corresponding feature appears in the S_Fld_Haz_Ar table only if an SFHA or 0.2-percent-annual-chance flood zone is shown on the FIRM in this area. In general, these culverts and channels are to be represented in the general structure table regardless of how the flood insurance risk zones are depicted. So, if these structures are shown on the FIRM as a dashed line passing through a Zone X, no corresponding flood insurance risk zone is shown in S_Fld_Haz_Ar table in the DFIRM database. If a narrow SFHA or 0.2-percent-annual-chance flood zone is shown on the FIRM, then a narrow polygon must be included in the DFIRM database. If the width of this flood insurance risk zone is accurately known and represented in the spatial data, the normal flood insurance risk zone is applied. If the width of the flood insurance risk zone is not accurately known and represented because of scale limitations, then the zone is designated as 1-percent-annual-chance flood contained in channel or 0.2-percent-annual-chance flood contained in channel as appropriate. ZONE_LID FLD_ZONE 1000 A 1001 AE 1002 AH 1003 AO 1004 AR 1005 1 PCT ANNUAL CHANCE FLOOD HAZARD CONTAINED IN CHANNEL 1006 1 PCT FUTURE CONDITIONS 1007 A99 1008 V 1009 VE 2000 0.2 PCT ANNUAL CHANCE FLOOD HAZARD 2001 0.2 PCT ANNUAL CHANCE FLOOD HAZARD CONTAINED IN CHANNEL 3000 AREA NOT INCLUDED 4000 D 4001 X PROTECTED BY LEVEE 4002 X 5000 OPEN WATER Flood Zone. This is the flood insurance risk zone designation. These zones are used by the Federal Emergency Management Agency (FEMA) to designate Special Flood Hazard Areas (SFHAs) and for insurance rating purposes. Some older FEMA FIRMs were prepared in the Standard format that uses Zones B, C and numbered A and V zones. Newer FIRMs use the Map Initiatives format where the B corresponds to 0.2 pct ANNUAL CHANCE FLOOD HAZARD; C corresponds to Zone X; numbered A zones (e.g., A1, A2, A3) correspond to Zone AE; and numbered V zones (e.g., V1, V2, V3) correspond to Zone VE. All Digital Flood Insurance Rate Maps (DFIRMs) should use the Map Initiatives zone designations. See Volume 1, Subsection 1.4.6.1.5 of these Guidelines for details on the flood insurance risk zones. (NOTE: The symbol '%' is a reserved symbol in most software packages so the word 'percent' was abbreviated to 'pct'.) Table: D_Floodway FLDWAY_LID FLOODWAY 1000 FLOODWAY 1010 COLORADO RIVER 1020 FLOODWAY CONTAINED IN CHANNEL 1030 FLOWAGE EASEMENT BOUNDARY 1040 STATE ENCROACHMENT 1050 AREA OF SPECIAL CONSIDERATION Table: D_Length_Units LEN_LID LEN_UNIT 1000 CENTIMETERS 1010 FEET 1020 INCHES 1030 KILOMETERS 1040 METERS 1050 MILES 1060 MILLIMETERS Table: D_Velocity_Units VEL_LID VEL_UNIT 1000 CENTIMETERS / DAY 1010 CENTIMETERS / HOUR 1020 FEET / SECOND 1030 INCHES / DAY 1040 INCHES / HOUR 1050 METERS / SECOND 1060 MICROMETERS / SECOND 1070 MILLIMETERS / DAY 1080 MILLIMETERS / HOUR --------------------------------------------------------------------------------</suppInfo></dataIdInfo><dqInfo><dqScope><scpLvl><ScopeCd value="005" /></scpLvl></dqScope><report type="DQConcConsis"><measDesc>When FEMA revises an FIS, adjacent studies are checked to ensure agreement between flood elevations at the boundaries. Likewise flood elevations at the confluence of streams studied independently are checked to ensure agreement at the confluence. The FIRM and the FIS are developed together and care is taken to ensure that the elevations and other features shown on the flood profiles in the FIS agree with the information shown on the FIRM. However, the elevations as shown on the FIRM are rounded whole-foot elevations. They must be shown so that a profile recreated from the elevations on the FIRM will match the FIS profiles within one half of one foot.</measDesc></report><report type="DQCompOm"><measDesc>Data contained in the NFHL reflects the content of the source materials. Features may have been eliminated or generalized on the source graphic, due to scale and legibility constraints. With new mapping, FEMA plans to maintain full detail in the spatial data it produces. However, older information is often transferred from existing maps where some generalization has taken place. Flood risk data are developed for communities participating in the NFIP for use in insurance rating and for floodplain management. Flood hazard areas are determined using statistical analyses of records of river flow, storm tides, and rainfall; information obtained through consultation with the communities; floodplain topographic surveys; and hydrological and hydraulic analysis. Generally, regulatory water surface elevations and/or regulatory floodways are published only for developed or developing areas of communities. For areas where little or no development is expected to occur, FEMA may generate flood risk data without published water surface elevations. Typically, only drainage areas that are greater than one square mile and with an average of one foot of flood depth or greater are studied. Note: The NFHL reflects the most current information available when the distribution data set was created. Currently, not all areas of a State or Territory have effective FIRM Database data. As a result, users may need to refer to the effective FIRM for effective flood hazard information.</measDesc></report><report type="DQQuanAttAcc"><measDesc>GeoPlan relied on the integrity of the attribute information within the original data.</measDesc></report><report dimension="horizontal" type="DQAbsExtPosAcc"><measDesc>The NFHL consists of vector files and associated attributes produced in conjunction with the hardcopy FEMA FIRM. The published effective FIRM and FIRM Database are issued as the official designation of the SFHAs. As such they are adopted by local communities and form the basis for administration of the NFIP. For these purposes they are authoritative. Provisions exist in the regulations for public review, appeals and corrections of the flood risk information shown to better match real world conditions. As with any engineering analysis of this type, variation from the estimated flood heights and floodplain boundaries is possible. Details of FEMA's requirements for the FISs and flood mapping process that produces these data are available in the Guidelines and Standards for Flood Risk Analysis and Mapping. Horizontal accuracy was tested by manual comparison of source graphics with hardcopy plots and a symbolized display on an interactive computer graphic system. Independent quality control testing of the individual FIRM Database components of the NFHL was also performed.</measDesc></report><report dimension="vertical" type="DQAbsExtPosAcc"><measDesc>The NFHL consists of vector files and associated attributes produced in conjunction with the hardcopy FEMA FIRM. The published effective FIRM and FIRM Database are issued as the official designation of the SFHAs. As such they are adopted by local communities and form the basis for administration of the NFIP. For these purposes they are authoritative. Provisions exist in the regulations for public review, appeals and corrections of the flood risk information shown to better match real world conditions. As with any engineering analysis of this type, variation from the estimated flood heights and floodplain boundaries is possible. Details of FEMA's requirements for the FISs and flood mapping process that produces these data are available in the Guidelines and Standards for Flood Risk Analysis and Mapping. The reliability of the floodplain boundary delineation is quantified by comparing the computed flood elevation to the ground elevation at the mapped floodplain boundary. The tolerance for how precisely the flood elevation and the ground elevation must match varies based on the flood risk class, which is a function of population, population density, and/or anticipated growth in floodplain areas. A horizontal accuracy of +/- 38 feet is used to determine the compliance with the vertical tolerances defined for each risk class. The range of differences between the ground elevation (defined from the topographic data used for the Flood Risk Project) and the computed flood elevation is between +/- 1.0 foot at the 95% confidence interval for areas with high population within the floodplain and/or high anticipated growth and Special Flood Hazard Areas (SFHAs) with high flood risk to +/- one-half the contour interval at the 85% confidence interval for areas with low population and densities within the floodplain and small or no anticipated growth and SFHAs with low flood risk. Independent quality control testing of the individual FIRM Database components of the NFHL was also performed.</measDesc></report><dataLineage><prcStep><stepDesc>The GeoPlan Center downloaded the Statewide National Flood Hazard Layer from the following FEMA website on December 20th, 2021. FEMA Flood Map Service Center https://msc.fema.gov/portal Search All Products https://msc.fema.gov/portal/advanceSearch Choose one of the three search options below and optionally enter a posting date range. https://msc.fema.gov/portal/advanceSearch State -FLORIDA County - ALACHUA Community - ALACHUA Search Effective Products NFHL Data-State(1) Product ID Product ID: NFHL_12_20211215 Latest Study Effective Date: 11/19/2021 Latest LOMR Effective Date: 12/16/2021 DL:Download Product NFHL_12_20211215 NFHL_12_20211215.zip NFHL_12_20211215.gdb Feature Layer: S_Fld_Haz_Ar The S_Fld_Haz_Ar was originally in the following projection: GCS_North_American_1983 WKID: 4269 Authority: EPSG Angular Unit: Degree (0.0174532925199433) Prime Meridian: Greenwich (0.0) Datum: D_North_American_1983 Spheroid: GRS_1980 Semimajor Axis: 6378137.0 Semiminor Axis: 6356752.314140356 Inverse Flattening: 298.257222101 The dataset was projected to the FGDL Albers HARN projection using the following Transformation: NAD_1983_To_HARN_Florida The dataset was renamed to dfirm_fldhaz_dec21. Next the following fields were added and populated: PRODUCT_ID = "NFHL_12_20211215" FLOODPLAIN = See Crosswalk Table Below RISK_LEVEL = See Crosswalk Table Below FHZ_LABEL = See Crosswalk Table 2 Below DESCRIPT = [SFHA_TF] field Description [SFHA_TF] = "T" : INSIDE SPECIAL FLOOD HAZARD AREA [SFHA_TF] = "F" : OUTSIDE SPECIAL FLOOD HAZARD AREA FGDLAQDATE = "12/20/2021" AUTOID = OBJECTID Crosswalk Table This crosswalk table was used to populate the FLOODPLAIN and RISK_LEVEL fields. The crosswalk table / shapefile join was based on the FLDZ field in the table and the FLDZONE field within the shapefile. FLDZ FDLZ_DSCPT FLOODPLAIN B MODERATE TO LOW RISK AREAS OUTSIDE FLOODPLAIN C MODERATE TO LOW RISK AREAS OUTSIDE FLOODPLAIN X MODERATE TO LOW RISK AREAS OUTSIDE FLOODPLAIN A HIGH RISK AREAS 100-YEAR FLOODPLAIN AE HIGH RISK AREAS 100-YEAR FLOODPLAIN A1 HIGH RISK AREAS 100-YEAR FLOODPLAIN A2 HIGH RISK AREAS 100-YEAR FLOODPLAIN A3 HIGH RISK AREAS 100-YEAR FLOODPLAIN A4 HIGH RISK AREAS 100-YEAR FLOODPLAIN A5 HIGH RISK AREAS 100-YEAR FLOODPLAIN A6 HIGH RISK AREAS 100-YEAR FLOODPLAIN A7 HIGH RISK AREAS 100-YEAR FLOODPLAIN A8 HIGH RISK AREAS 100-YEAR FLOODPLAIN A9 HIGH RISK AREAS 100-YEAR FLOODPLAIN A10 HIGH RISK AREAS 100-YEAR FLOODPLAIN A11 HIGH RISK AREAS 100-YEAR FLOODPLAIN A12 HIGH RISK AREAS 100-YEAR FLOODPLAIN A13 HIGH RISK AREAS 100-YEAR FLOODPLAIN A14 HIGH RISK AREAS 100-YEAR FLOODPLAIN A15 HIGH RISK AREAS 100-YEAR FLOODPLAIN A16 HIGH RISK AREAS 100-YEAR FLOODPLAIN A17 HIGH RISK AREAS 100-YEAR FLOODPLAIN A18 HIGH RISK AREAS 100-YEAR FLOODPLAIN A19 HIGH RISK AREAS 100-YEAR FLOODPLAIN A20 HIGH RISK AREAS 100-YEAR FLOODPLAIN A21 HIGH RISK AREAS 100-YEAR FLOODPLAIN A22 HIGH RISK AREAS 100-YEAR FLOODPLAIN A23 HIGH RISK AREAS 100-YEAR FLOODPLAIN A24 HIGH RISK AREAS 100-YEAR FLOODPLAIN A25 HIGH RISK AREAS 100-YEAR FLOODPLAIN A26 HIGH RISK AREAS 100-YEAR FLOODPLAIN A27 HIGH RISK AREAS 100-YEAR FLOODPLAIN A28 HIGH RISK AREAS 100-YEAR FLOODPLAIN A29 HIGH RISK AREAS 100-YEAR FLOODPLAIN A30 HIGH RISK AREAS 100-YEAR FLOODPLAIN AH HIGH RISK AREAS 100-YEAR FLOODPLAIN AO HIGH RISK AREAS 100-YEAR FLOODPLAIN AR HIGH RISK AREAS 100-YEAR FLOODPLAIN A99 HIGH RISK AREAS 100-YEAR FLOODPLAIN D UNDETERMINED UNDETERMINED V HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN VE HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V1 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V2 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V3 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V4 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V5 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V6 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V7 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V8 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V9 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V10 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V11 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V12 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V13 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V14 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V15 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V16 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V17 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V18 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V19 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V20 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V21 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V22 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V23 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V24 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V25 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V26 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V27 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V28 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V29 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN V30 HIGH RISK - COASTAL AREAS 100-YEAR FLOODPLAIN OPEN WATER OPEN WATER OPEN WATER A second calculation was done for the following where FLD_ZONE = X and field ZONE_SUBTY combinations existed, see below. 0.2 PCT* MODERATE RISK AREAS 500-YEAR FLOODPLAIN 1 PCT DEPTH LESS THAN 1 FOOT MODERATE RISK AREAS 500-YEAR FLOODPLAIN AREA WITH REDUCED FLOOD RISK DUE TO LEVEE MODERATE RISK AREAS 500-YEAR FLOODPLAIN Crosswalk Table 2 This crosswalk table was used to populate the FHZ_LABEL field. Text description of flood zones for map legends based on the FLD_ZONE and ZONE_SUBTY fields Calculated Zone Descriptions for field FLD_ZONE = A, AE, AH, AO, AR, A99, V and VE as 1% ANNUAL CHANCE FLOOD HAZARD Calculated Zone Descriptions for field FLD_ZONE = AREA NOT INCLUDED as AREA NOT INCLUDED Calculated Zone Descriptions for field FLD_ZONE = D as AREA OF UNDETERMINED FLOOD HAZARD Calculated Zone Descriptions for field FLD_ZONE = OPEN WATER as OPEN WATER Next Calculated Zone Descriptions for field ZONE_SUBTY = 0.2 PCT ANNUAL CHANCE FLOOD HAZARD as 0.2% ANNUAL CHANCE FLOOD HAZARD 0.2 PCT ANNUAL CHANCE FLOOD HAZARD CONTAINED IN CHANNEL as 0.2% ANNUAL CHANCE FLOOD HAZARD 1 PCT DEPTH LESS THAN 1 FOOT as 0.2% ANNUAL CHANCE FLOOD HAZARD AREA OF MINIMAL FLOOD HAZARD as AREA OF MINIMAL FLOOD HAZARD AREA WITH REDUCED FLOOD RISK DUE TO LEVEE as AREA WITH REDUCED RISK DUE TO LEVEE FLOODWAY as REGULATORY FLOODWAY RIVERINE FLOODWAY SHOWN IN COASTAL ZONE as REGULATORY FLOODWAY - It was noted that sliver polygons existed. However, no methodology was performed by GeoPlan to correct for these issues. For more information on FEMA's Final Data Structure concerning sliver polygons please see below. The FEMA report frm_gsal.pdf states the following regarding sliver polygons. L.3.5.2 Topology Vector data files must meet the following data structure requirements: * Area spatial features for a given theme must cover the entire study area without overlaps, underlaps or sliver polygons between adjacent polygons. - Next Deleted the following 3 features due to spatial errors: * 12059C_235984 (Duplicate Polygon), * 12111C_1676 (Zero Area), * 12097C_1170 (Negative Area). - It was noted that over 100 features had vertex counts greater than 350,000. Features with large vertex counts are known to cause database analysis crashes and errors. The ArcGIS Dice Tool subdivides a feature into smaller features based on a specified vertex limit. This tool is intended as a way to subdivide extremely large features that cause issues with drawing, analysis, editing, and/or performance but are difficult to split up with standard editing and geoprocessing tools. This tool should not be used in any cases other than those where tools are failing to complete successfully due to the size of features. Source: https://desktop.arcgis.com/en/arcmap/latest/tools/data-management-toolbox/dice.htm -The features were subdivided using the ArcGIS Dice Tool with a vertex limit of 350,000. - Duplicate features/records were found in the following county; Clay County, this duplication impacted the following datasets; BFE, FLDHAZ &amp; PANEL. - First GeoPlan reviewed the duplicate features where the dataset specific unique id count was greater than 1. - Dataset specific unique ids are as follows: - BFE = BFE_FN_ID - CBRS = CBRS_ID - FLDHAZ = FLD_AR_ID - PANEL = FIRM_ID - Summarized on Dataset specific unique ids with MAX and Min boxes check for AUTOID and AREA. - Exported the duplicates and checked to make sure the areas of each suspect duplicate matched (they did). - Joined this table back to the full dataset on the Max AUTOID field. - Ran a selection to grab just these records where the Max AUTOID matched. - Ran Switch selection set and exported out the full dataset without the extra duplicate records. - This process was used to clean all three datasets impacted.</stepDesc><stepDateTm>2021-12-20</stepDateTm><stepProc><rpIndName>Kate Norris</rpIndName><rpOrgName>University of Florida GeoPlan Center</rpOrgName><rpPosName>Geospatial Data Manager &amp; Senior GIS Specialist</rpPosName><rpCntInfo><cntPhone><voiceNum>www.fgdl.org</voiceNum></cntPhone><cntAddress addressType="both"><delPoint>131 Architecture Building | PO Box 115706</delPoint><city>Gainesville</city><adminArea>FL</adminArea><postCode>32611-5706</postCode><country>US</country><eMailAdd>data@fgdl.org</eMailAdd></cntAddress></rpCntInfo><role><RoleCd value="009" /></role></stepProc><stepSrc type="used"><srcCitatn><resAltTitle>GeoPlan</resAltTitle></srcCitatn></stepSrc></prcStep><prcStep><stepDesc>The NFHL dataset is a compilation of effective FIRM Databases (a collection of the digital data that are used in GIS systems for creating new Flood Insurance Rate Maps) and Letters of Map Change (Letters of Map Amendment and Letters of Map Revision only) that create a seamless GIS data layer for a State or Territory. It is updated on a monthly basis. The FIRM Databases are compiled in conjunction with the hardcopy FIRMs and the final FIS reports. The specifics of the hydrologic and hydraulic analyses performed are detailed in the FIS reports available for each jurisdiction. The results of these studies are submitted in digital format to FEMA. These data and unrevised data from effective FIRMs are compiled onto the base map used for FIRM publication and checked for accuracy and compliance with FEMA standards. As new FIRM Databases are received the individual FIRM layers are sewn into the nationwide layers of the NFHL. LOMRs for the FIRM Databases in the NFHL are cut directly into the NFHL data layers as they are being produced and finalized.</stepDesc><stepDateTm>2021-12-15</stepDateTm><stepSrc type="used"><srcCitatn><resAltTitle>FEMA</resAltTitle></srcCitatn></stepSrc></prcStep><dataSource><srcDesc>Spatial and Attribute Information</srcDesc><srcMedName><MedNameCd value="015" /></srcMedName><srcScale><rfDenom>12000</rfDenom></srcScale><srcCitatn><resTitle>Digital Flood Insurance Rate Map</resTitle><resAltTitle>FEMA</resAltTitle><date><pubDate>2021-12-15</pubDate></date><citRespParty><rpOrgName>Federal Emergency Management Agency</rpOrgName><role><RoleCd value="006" /></role></citRespParty><citRespParty><rpOrgName>Federal Emergency Management Agency</rpOrgName><rpCntInfo><cntAddress><delPoint>Washington, D.C.</delPoint></cntAddress></rpCntInfo><role><RoleCd value="010" /></role></citRespParty><presForm><PresFormCd value="005" /></presForm><presForm><fgdcGeoform>vector digital data</fgdcGeoform></presForm><otherCitDet>National Flood Hazard Layer</otherCitDet><citOnlineRes><linkage>https://msc.fema.gov</linkage></citOnlineRes></srcCitatn><srcExt><exDesc>USA</exDesc><tempEle><TempExtent><exTemp><TM_Instant><tmPosition>2021-12-15</tmPosition></TM_Instant></exTemp></TempExtent></tempEle></srcExt></dataSource></dataLineage></dqInfo><spatRepInfo><VectSpatRep><geometObjs><geoObjTyp><GeoObjTypCd value="001" /></geoObjTyp><geoObjCnt>441725</geoObjCnt></geometObjs></VectSpatRep></spatRepInfo><Esri><CreaDate>20220121</CreaDate><CreaTime>14030700</CreaTime><ArcGISFormat>1.0</ArcGISFormat><scaleRange><minScale>50000</minScale><maxScale>5000</maxScale></scaleRange></Esri><Binary><Enclosure><Descript>original metadata</Descript><Data EsriPropertyType="Base64" OriginalFileName="source_metadata.xml" SourceMetadata="yes" SourceMetadataDigest="6432349c9b592eebe2b6726d83f88b4e" SourceMetadataSchema="fgdc">PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk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</Data></Enclosure></Binary></metadata>