STN_ET_SPRINGSEEP473439.474100718651.646800410364.836000716250.8462001ArcSDE Connection002ProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<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/3.4.0'><WKT>PROJCS[&quot;NAD_1983_HARN_Florida_GDL_Albers&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;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>202504091301080020250409130108001.0FGDC2025040409572200FALSE1500000005000datasetJill StokesSt. Johns Water Management DistrictOpenData Admin & Geographic Information Systems Analyst III386-329-43364049 Reid StreetPalatkaFL32177USJStokes@sjrwmd.comGIS_Support@sjrwmd.com https://data-floridaswater.opendata.arcgis.com/20250409ArcGIS Metadata1.00.000Florida Geographic Data Library (FGDL)Jonathan and Melanie Antevy Hall1480 Inner Road, Room 431PO Box 115706GainesvilleFL32611-5706UShttps://fgdl.org/info/contact/NoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature ClassSt. Johns River Water Management District Springs and Seeps - May 20242022-11-08T00:00:002024-05-06T00:00:00Jill Stokes, St. Johns Water Management District, OpenData Admin & Geographic Information Systems Analyst IIIvector digital dataState of FloridaFeature Layer (Records: 230), Info Updated (May 6, 2024), Data Updated (May 6, 2024), Published Date (November 8, 2022)Springs and Seeps By Source<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains Spring and Seep Stations by Source located in the St. Johns River Water Management District (SJRWMD). The SJRWMD is one of five Florida water management districts that is responsible for managing groundwater and surface water resources in the state of Florida. A spring is defined as a place where groundwater flows naturally onto the land surface or into a body of surface water. A spring's occurrence depends on the nature and relationships among topography, underlying geologic strata, and aquifer water levels. While some springs are isolated features, many are clustered into spring groups of varying size and areal extent. In addition to providing a unique recreational resource, springs provide important base flow to rivers and streams and critical habitat to plants and animals. Most springs in St. Johns River Water Management District (SJRWMD) occur in discharge areas of the Upper Floridan aquifer where limestone is at or near land surface, or where the sediments overlying Floridan limestone have been breached. The majority of the springs in SJRWMD are located along the major river systems of the St. Johns, Ocklawaha, and Wekiva rivers. This data layer also includes surficial aquifer springs, which are now called seeps, under nomenclature recently agreed upon by the Florida Geological Survey. Springs are classified by magnitude based on the volume of flow, or discharge of water. The amount of water that flows from a spring depends on several factors, including rainfall, size of the caverns within the rocks, the water pressure in the aquifer, and the size of spring recharge basin. Human activities can also influence the volume of water that discharges from a spring; for example, increased groundwater withdrawals can reduce the hydraulic pressure in an aquifer, causing water levels to decline and spring flows to decrease. Since springs have dynamic flows dependent on climate, hydrogeology, and others factors, a spring classified as being a certain magnitude at one time may not continue to flow at that rate at other times. Springs are classified by magnitude, which is based on the median value of all discharge measurements for the period of record. First magnitude springs discharge the greatest amount of water. The following is a summary of spring classification magnitude by discharge. Please Note: This dataset is a snapshot of a dynamic database that was last updated on 20240506 and the information was downloaded on 20250404. This dataset is an update to the FGDL Dataset springs_sjrwmd_may21.</SPAN></P></DIV></DIV></DIV>This dataset contains Spring and Seep Stations by Source located in the St. Johns River Water Management District (SJRWMD). The SJRWMD is one of five Florida water management districts that is responsible for managing groundwater and surface water resources in the state of Florida. A spring is defined as a place where groundwater flows naturally onto the land surface or into a body of surface water. A spring's occurrence depends on the nature and relationships among topography, underlying geologic strata, and aquifer water levels. This dataset is an update to the FGDL Dataset springs_sjrwmd_may21.St Johns River Water Management District (SJRWMD), other agencies where applicable. Springs and Seeps, By Source (SJRWMD) https://data-floridaswater.opendata.arcgis.com/datasets/1edb1cee605a4e9cba19922c8ad459f7_30/about https://data-floridaswater.opendata.arcgis.com/datasets/1edb1cee605a4e9cba19922c8ad459f7_30/explore https://www.arcgis.com/home/item.html?id=1edb1cee605a4e9cba19922c8ad459f7&sublayer=30 https://services.arcgis.com/s8wtJX9suxFen6TA/arcgis/rest/services/Springs_and_Seeps_By_Source/FeatureServer/30Jill StokesSt. Johns Water Management DistrictOpenData Admin & Geographic Information Systems Analyst III386-329-43364049 Reid StreetPalatkaFL32177USJStokes@sjrwmd.comGIS_Support@sjrwmd.com https://data-floridaswater.opendata.arcgis.com/FloridaSt. Johns River Water Management DistrictThe counties which are entirely within SJRWMD are: Brevard, Clay, Duval, Flagler, Indian River, Lake, Marion, Nassau, St. Johns, Seminole, Putnam, and Volusia. Partial counties include: Alachua, Baker, Bradford, Okeechobee, Orange, and Osceola.2024ISO 19115 Topic CategoriesinlandWatersSt. Johns River Water Management DistrictFlorida2024inlandWatersSpringsSeepsCounties which are entirely within SJRWMD are: BrevardClayDuvalFlaglerIndian RiverLakeMarionNassauSt. JohnsSeminolePutnamand Volusia. Partial counties include: AlachuaBakerBradfordOkeechobeeOrangeand Osceola.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.<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The St Johns River Water Management District prepares and uses information for its own purposes and this information may not be suitable for other purposes. This information is provided as is. Further documentation of this data can be obtained by contacting: GIS_Support@sjrwmd.com or St Johns River Water Management District, c/o GIS, PO Box 1429, Palatka, Florida, 32178-1429, (386) 329-4500. Complete liability disclaimer information available at https://www.sjrwmd.com/disclaimer.html.</SPAN></P><P><SPAN>The District uses this information for general mapping and cartographic purposes, and for small and medium scale hydrologic and assessment applications.</SPAN></P></DIV></DIV></DIV>Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362Publication Date2024-05-06T00:00:00-83.253855-80.67955827.66130530.451759St. Johns River Water Management District (SJRWMD) The counties which are entirely within SJRWMD are: Brevard, Clay, Duval, Flagler, Indian River, Lake, Marion, Nassau, St. Johns, Seminole, Putnam, and Volusia. Partial counties include: Alachua, Baker, Bradford, Okeechobee, Orange, and Osceola.Request from Groundwater to create this GIS view of current spring/seep stations. Created from SDE feature view of Spring & Seep stations from Station Header on PROD. Request from SJRWMD's Groundwater Programs Division (Jill Stokes) to create this GIS view of current spring/seep stations. The District uses this information for general mapping and cartographic purposes, and for small and medium scale hydrologic and assessment applications. Process involves setting up views and materialized views of the three data models on PROD, followed by creating attribute and a final SDE feature view on the SDE database (GISLIB account) pointint to these PROD views and the SDE feature class GISLIB.STN_ET_GEOM. Any specific questions about the data in this view should be directed to the person who originally created the station in Station Header, listed with the "Created By:" field when doing a station search in the Station Header web app: http://dasprod/station/ Steps used to develop this SDE feature view - see Process Steps section. ..Varies1-83.253855-80.67955830.45175927.661305Spatial and Attribute InformationReadme.txt /* */ /* Steps to create GIS point data from the Spring & Seep database: */ /* (Note: this still includes all spring data records from the stn_et table, including "Group" records) */ /* */ /* Modified 2/17/2009 to add s.stn_ctgry_cd=3223 (Seep) to the initial view creation */ /* Select the data from the stn_et table (Oracle/Production) from RapidSQL: */ Step 1: create or replace view v_springseep_stn as select cast(rownum as number(38)) objectid, s.stn_id, s.stn_nm, s.lat_no, s.long_no, s.srce_id, s.stn_stts_cd, wt.srce_offcl_nm, s.cnty_id, s.pnt_loc_dsc, s.div_id, s.stn_ctgry_cd, def.tp_dsc stn_ctgry, (select s2.prpty_val from stn_prpty s2 INNER JOIN sjr_abbr_def_et def2 ON (s2.prpty_tp_id = def2.tp_id) where s2.stn_id = s.stn_id and s2.prpty_tp_id=3220) historical_spring_mag, (select s3.prpty_val from stn_prpty s3 INNER JOIN sjr_abbr_def_et def2 ON (s3.prpty_tp_id = def2.tp_id) where s3.stn_id = s.stn_id and s3.prpty_tp_id=3221) spring_mag, (select s4.prpty_val from stn_prpty s4 INNER JOIN sjr_abbr_def_et def2 ON (s4.prpty_tp_id = def2.tp_id) where s4.stn_id = s.stn_id and s4.prpty_tp_id=3222) spring_mag_date from stn_et s LEFT OUTER JOIN wtr_srce_et wt ON (s.srce_id = wt.srce_id) INNER JOIN sjr_abbr_def_et def ON (s.stn_ctgry_cd = def.tp_id) where (s.stn_tp_cd=913 and s.stn_ctgry_cd in (1513,3223) and (s.srce_id in (12637,3713) or s.srce_id in (select w.srce_id from wtr_srce_et w where lower(w.srch_nm) like '%surficial%')) and s.stn_stts_cd in (469,470)) or lower(s.stn_nm) like '%double run spring%' / drop materialized view mv_springseep_stn / create materialized view mv_springseep_stn refresh complete start with sysdate next sysdate + 1 as select cast(objectid as number(38)) objectid, stn_id, stn_nm, lat_no, long_no, srce_id, stn_stts_cd, srce_offcl_nm, cnty_id, pnt_loc_dsc, div_id, stn_ctgry_cd, stn_ctgry, historical_spring_mag, spring_mag, spring_mag_date from v_springseep_stn / create index idx_mv_springseep_stn_stnid on mv_springseep_stn(stn_id); create index idx_mv_springseep_stn_objid on mv_springseep_stn(objectid); grant select on mv_springseep_stn to public; Step 2: On sde dbs in gislib account, create a point feature classes (ST_GEOMETRY) based on the above materialized views. (GISLIB.V_SPRINGSEEP_STN) connect gislib@sde create or replace view v_mv_springseep_stn as select cast(objectid as number(38)) objectid, stn_id, stn_nm, lat_no, long_no, srce_id, stn_stts_cd, srce_offcl_nm, cnty_id, pnt_loc_dsc, div_id, stn_ctgry_cd, stn_ctgry, historical_spring_mag, spring_mag, spring_mag_date from gislib.mv_springseep_stn@prod; --> old view name XXXX sdetable -o create_view -T V_SPRINGS_STN -t "stn_et_geom,v_mv_springs_stn" -c "v_mv_springs_stn.objectid, v_mv_springs_stn.stn_id, v_mv_springs_stn.stn_nm, v_mv_springs_stn.lat_no, v_mv_springs_stn.long_no, v_mv_springs_stn.srce_id, v_mv_springs_stn.stn_stts_cd, v_mv_springs_stn.srce_offcl_nm, v_mv_springs_stn.cnty_id, v_mv_springs_stn.pnt_loc_dsc, v_mv_springs_stn.div_id, stn_et_geom.shape" -w "stn_et_geom.stn_id=v_mv_springs_stn.stn_id" -i esri_sde -s earth -u gislib -p ***** XXXX --> new view name sdetable -o create_view -T STN_ET_SPRINGSEEP -t "stn_et_geom,v_mv_springseep_stn" -c "v_mv_springseep_stn.objectid, v_mv_springseep_stn.stn_id, v_mv_springseep_stn.stn_nm, v_mv_springseep_stn.lat_no, v_mv_springseep_stn.long_no, v_mv_springseep_stn.srce_id, v_mv_springseep_stn.stn_stts_cd, v_mv_springseep_stn.srce_offcl_nm, v_mv_springseep_stn.cnty_id, v_mv_springseep_stn.pnt_loc_dsc, v_mv_springseep_stn.div_id, v_mv_springseep_stn.stn_ctgry_cd, v_mv_springseep_stn.stn_ctgry, v_mv_springseep_stn.historical_spring_mag, v_mv_springseep_stn.spring_mag, v_mv_springseep_stn.spring_mag_date, stn_et_geom.shape" -w "stn_et_geom.stn_id=v_mv_springseep_stn.stn_id" -i esri_sde -s earth -u gislib -p ***2022-11-08T00:00:00Jill Stokes, St. Johns Water Management District, OpenData Admin & Geographic Information Systems Analyst IIIJill Stokes, St. Johns Water Management District, OpenData Admin & Geographic Information Systems Analyst IIIThe dataset was downloaded in Geodatabase format from the following SJRWMD website on April 4th, 2025. Springs and Seeps By Source https://data-floridaswater.opendata.arcgis.com/datasets/1edb1cee605a4e9cba19922c8ad459f7_30/about https://data-floridaswater.opendata.arcgis.com/datasets/1edb1cee605a4e9cba19922c8ad459f7_30/explore Springs_and_Seeps_By_Source_8911404646674138071.zip 00ad8465-5a34-471c-9188-034800388e96.gdb\Springs_and_Seeps__By_Source -------------------------- Original Projection Information: Geographic coordinate reference ⇔ GCS_North_American_1983_HARN Projection ⇔ NAD_1983_HARN_UTM_Zone_17N Coordinate reference details ⇔  ProjectedCoordinateSystem  WKID 3747 XOrigin -5120899.9924887 YOrigin -9998099.9944757894 XYScale 6873.3464292185599 ZOrigin 0 ZScale 1 MOrigin 0 MScale 1 XYTolerance 0.0186226609291615 ZTolerance 2 MTolerance 2 HighPrecision true LatestWKID 3747 WKT PROJCS["NAD_1983_HARN_UTM_Zone_17N",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-81.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3747]] -------------------------- Projected to NAD_1983_HARN_Florida_GDL_Albers (3087) Please Note: No transformation was required During the QA/QC process the following tasks were undertaken: - Uppercased all records in the table except any URL fields. - Added MGRS field and calculated it using coordinate notation tool - Added DESCRIPT field, populated it based on the following: !STN_NM! + " (STATION ID: " + str(int(!STN_ID!)) + ")" - Added FGDLAQDATE and populated it based on the date GeoPlan received the data - Restructured table - Uppercased all fields - Renamed data from Springs_and_Seeps__By_Source, to springs_sjrwmd_may242025-04-04T00:00:00Kate NorrisUniversity of Florida GeoPlan CenterGeospatial Data Manager & Senior GIS Specialistwww.fgdl.org131 Jonathan and Melanie Antevy Hall | PO Box 115706GainesvilleFL32611-5706USdata@fgdl.orgKate NorrisKate NorrisThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.0230EPSG6.12(9.2.0)SPRINGS_SJRWMD_MAY24SPRINGS_SJRWMD_MAY24SJRWMDFeature Class230OBJECTIDOBJECTIDOID4100Internal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeSHAPEGeometry800Feature geometry.EsriCoordinates defining the features.STN_IDA unique feature identifier (numeric) in the SJRWMD's Oracle table, Station Header.SJRWMDSTN_IDDouble8388STN_NMUnique official name (text) of the spring.SJRWMDSTN_NMString5000LAT_NODecimal Degree Location of Latitude.SJRWMDLAT_NODouble8388LONG_NODecimal Degree Location of Longitude.SJRWMDLONG_NODouble8388SRCE_IDField definition not provided by Source.GeoPlanSRCE_IDDouble8388STN_STTS_CDSTN_STTS_CDDouble8388Field definition not provided by Source.GeoPlanSRCE_OFFCL_NMSRCE_OFFCL_NMString4000Field definition not provided by Source. GeoPlanCNTY_IDField definition not provided by Source.GeoPlanCNTY_IDDouble8388PNT_LOC_DSCPNT_LOC_DSCString50000Field definition not provided by Source. GeoPlanDIV_IDField definition not provided by Source.GeoPlanDIV_IDInteger4100STN_CTGRY_CDSTN_CTGRY_CDDouble8388Field definition not provided by Source. GeoPlanSTN_CTGRYWhether it is a Spring or Seep.SJRWMDSTN_CTGRYString6000HISTORICAL_SPRING_MAGHISTORICAL_SPRING_MAGString10000Field definition not provided by Source. GeoPlanSPRING_MAGMagnitude of the spring - it's a value from 1-8, representing median of all discharge measurements for spring.SJRWMDSPRING_MAGString10000SPRING_MAG_DATESPRING_MAG_DATEString10000Field definition not provided by Source. GeoPlanGlobalIDGlobalIDGlobalID3800Field definition not provided by Source. GeoPlanLAT_DDLatitude in decimal degrees.GeoPlanLAT_DDDouble8388LONG_DDLongitude in decimal degrees.GeoPlanLONG_DDDouble8388MGRSMilitary Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth. http://mgrs-data.org/GeoPlanMGRSString1500GOOGLEMAPWebpage hyperlink to location in Google Maps.GeoPlanGOOGLEMAPString10000DESCRIPTFGDL added field based on the following fields: [STN_NM] & " (STATION ID: " & [STN_ID] & ")"GeoPlanDESCRIPTString10000FGDLAQDATEThe date GeoPlan acquired the data from the source.GeoPlanFGDLAQDATEDate800AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD9GIb+ W8ZGggZ7f+//AHqupu+9Lt3/AOxTfs0afwrR9mX/AGv++qAJaKi8n/ab/vqjb/01agCWmOm9aPLb /nq1Hlt/f/8AHaAH0UzbL/eX/vmm/vP9mgCWsfWPDFtrzebPLPC+3Z+5fZWlul/ur/31Rul/55/+ P0Ac6ngDT081fPu3SX7yPL8ldBptgum2aQK0jou755m+ept3/TJqTzv9lqAH0Uzzk/uv/wB8037S v96gCWiovtMT/wDLVacjr/Cy0APooooAr/NMz/8APJafsZF/dNv/ANh6IfvOv8e7fUtAFd5mT7ys n+5Ve8v/AN1+6b591aFV7xItqMy/JQB5vNueV2b79Mq3qsm/Urhv+mrVUrUAooooAKKKKACiiigA ooooAKKKKACiiigAooooA9Tooqvc2zXmxVlaFFb5tlZAFzqVtZwvJPcxwov3nmbZVe5uf9KiaKeP YrbJYae+j2b2stt5XySrsb+/WJ/wrrSPk+W53qzP/r3+9s2f+yUAdLDJvp9c4ngPTNu3dc7P+u71 vWdnFYWsVtFu2RLsXfQBLRRRQAUUUUAH8VFRXXm/Z5fI2+bt+Xf9zdTLH7T9jt/t3l/bdv737Oz7 N3+xR1AsUUVUudVtrO6tLaeXZcXTMsCf3mRN/wD6BQBbpu1P7q06OigBjwq/8K0Q/wCq2/3Pkp9R fNHv2qrpQAR/8fDf7tENzBctKsU8bvE2yXY2/a39x6dCjJv3fxNWPqupaf4Y/e/ZmT7VLvl+zxfO zf33oA2HmVFqB4ftK1yn/CdW01u8v2O+hfcyKvkfP/HVZPGzJIirY6lNEv3nSD51agCDWLZrO/lV mV93z/JVGt7xVDsuom/jZfmesGtEAUUUUwCiiigAooooAKKKKACiiigAooooAKKKKAPU6I6KZ/FW QD6KKimvILZtssqo7f36AJaKx4fFVi+/czJtX+OmQ+LbGa4SL5k3fxvVcrA26KEfeu5aKkAooooA pXNhLc6pZXK308MVvu3W6bNk+7+//uVdopjzJCrtKyoi/ed6QD6KYjrNEksTK6t86un8VPpgFFFF ABRRRQAVFcpu2VLTHSgDn9VeJLq3aKVXu1l2eT/8XVvStEsbC6u5ba2jhmvZftE7p/y1b7m+sr/h GLbR9ce5sYlhvdSn826m/wCevybP/QK6iGHYtK3Vgc54ws/9HikX+Fq5SvQ9eh87S5V/i2155WsQ CiiimAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB6nRTPtMXleazL5X9+ua1LxVvZ4rH/v8/3KztcD oJpvJid9yp/vtXK+KvPfypZV2I39xtyViTTSzM7Sys70x5mdEVmbYv8ABVpWAZRRRTA1tK8Q3Om7 F/11v/cauq0rXrbVV2q2yX+49ef09XZGRlbY61PKB6hRWfoOpf2rYI3/AC1X5HrQqACmXNtFc27w TxLNFKu1ldd6MtPooAitraKzt4oIIlht4l2RQomxFX+5UtYXiHWLyG/stK0z7N/aF0rSq9w3+qVd nz7PvN9/b8lbtK4BRRRTAKKKKACiuc8YeF77XpNMudP1q50e9sJfNi2fPFP/ALEq/wAS10cf3fmq U7gY/iHw23iFbfbqF3YPb7trWmz+JNn8afwfeqXQftP9lxLPO1y6/J5z/fl2/wAdadZWm7rC/uLN m+SX97F/7PTA0pk86J1rzW5h+zXDxf3Xr02vOvG1/baPqlpFdS+S90y28Xy/earj5gUaKKKsAooo oAKKKKACiiigAooooAKKKKACiiigC9eX8943+ky/J/DElUXfdRRQAUUUUAFFFFABRRRQBp6PrUuj yvtXfE33krtbDVbbUl/cN838Sf3a83roPBjrHfyr/eiqWgOzoooqAMy5hvH16xligtHtFilSeab/ AI+F+5s2f7P96tOmfxvT6QBWZqviGx0SVFvJfJRl37n+5WnUU1nBc7PPgjm2/wB9d9MDlLD4naRe ald2zeZCkW11uHX91Lu/uVq6P4w0zW7x7a2lbzV/gdfvfc/+Lq3c+HtMvLq0uZbON5bVmeB9v3WZ NlV9Y822uNPuYLz7NbxT/v4UgR/PVk+5/s/3qSA2KKr6lqVto9hcX15OttaW8TSyzP8AcVV/jrlN E+LvhXxJrb6VpGoNqV3Eu+X7PBK6Rf777Nu//YoulowOg0fWJ9Y0n7Z/Z9zpsu5kW3vl2P8AK+z/ AMfqazTzm+0tLvdl2fd+7UOt69Y6J9i+3T/ZkvLpbKL5XfdK33Eqxc38FhLFHL8nm/dehdgLdYXi 2w+02PnqvzxVLrE2rws7afBBcp5Xywu23dLv/wDiKz9/iG5tUW5traGVm+ZIW+8uyqWgHKUVVeHW rbUvIvIraGJW+bY29/uVarQAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAoooo AKekzQtuiZkf/ZplFAHYaP4qWbyoLlf3r/J51dHXln3a7jRNegv1igZm+0bf4/4qloC9Z6PZ2F5e 3kEGy4vGV53/AL21NiVdoorO1gKWj299Z2CR6hfLf3e5t1wsXlfLv+T5P9yrtFMd9iuzfcWhaIB9 VPsfl3/nq3yMvzJT/tkdM/tKDylbc2xqYFtvnXbXKfDTw9qfhvw29tq7Wz6g15cXDPaLsRt0run8 CfwV01teQXLSrFKrvE2xl3fdqvDo9tDq1xqaq32u4iWKV9z7Nq/c+T/gdS1qmBz/AMRPD0/irTYr O21yfR3t51uJXtFR5f8AY/3fnrdvLZdV0t4llWZ0X5X/ANqszxU+h+GNN1jXr5o9N3QL9qvkX52V fuJ/tff+5/t1leBtV864i2+YlvdRb1SaJ0f/AL4/hoSV2B2GmvK9qnnqySr8nz1Y8uisy58SafZ3 UsF1dLbPFtRnm+RP4P8A4tKoDH8Z2a7orlfvt8jVy9dRqvifRb+1eL7dH/F/f/hrgpvE2mW0sqy3 Oza38f8AF8m//wBnrSIGrRVWx1KDUvN8jd+6bY29dlWqYBRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABRRRQAUUUUAFFFFABRRRQAVb0q5+x6hFL8vy/36qUUAdW/jbZK6/Zt6f71auj62usebtiZNv9+v P61vD+pS2F4i+bsiZ/mR6loDvaqalqVnpVq9zfTx21uvyNNM2xPmqw7y7f3Sq701ofOi2zrHN/sO vyVHoA/yV/urXOX/AISnvLi4li1OS283d9xfu/8A7FbV5rFnYXVpbXNzHDcXjMkELt88rKm/5KsJ Msyo0bq6N/GlK4HO+FfA1j4VvNTvol87U7/yvPu3X52VU2In/of/AH3XS0yZ9ivt+d/4UqKzeeS3 RrlVSVv4EpgYni3wNbeM18i+vrtNPaBopbGFtiN86Pv/AN5NlayJZ21w6xeX9oVd7In39tXaz7mb TNN1KKWdra2vb3/R4nfarz7d7bP9r+Opso6gGpX88Nv/AKDbLeXG5f3Ly+V8u/53qvr0On21nLc3 OnreeayoypEju259lSukulXGp6hc6gz2W1XW3dVRIFVPn+f/AOLqaHW9PuYreVbyB0uF3xP5qfNT AwW17RZrd5ILHzvl+/5CL/cT/wBnrjdY1vTPtHmrZzpuXzWTyPu/52V6wk0E3yxSxv8A7CNVfUrN by1eJl3o33qoDyzSr+LUrfzYIpYV3fxrsq7U1zbNZ3DxN/DUNaAFFFFABRRRQAUUUUAFFFFABRRR QAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUeZs+bdsoo/wB+gDsNE8SQPbpFc31o7/wv56fNWr/b enpv/wBOg+X/AKa1yFh4bbUmt5YGsYYtv71GiR3+/Wlo/gxra6l+3fYby3/uJaom6sgOomhim2My q7r912X7tV9NsLPR7OKxsYI7a3iXYsMK7EWrdMT9581HmA26+f8AhrP1K58mW1gXdvaVf++asQ6b 5OrXF99puX82JYvs7t+6Xb/Gif3vnrnPGdh4qubXUJdDbTftC7fscNwzojf89fNdf/HaV9LgbCXm zXniVpHRl+b+4tZ/xF8QxeEvBup641t9slsImlg2Qea6y/cR9n/A6l8PW2+3+w3zKmoWqp56W8vy fN/7LVvxJZ3l54cvbbTLxrC9aJkgu0Xf5TfwUpap2A4T4Y/EW++JC6xpniHTLaw3QK9rCjP/AKZa sib5f93e+35KfYaJE/iCy0//AIReC2tP9ISW4+1f6pU/1Wz/AH6Z8PfHjJY6fp/iq21Kw8RSz/Yl uL6z2fapfnd0idf+WXyf+gV1F5r19pWqeRPZrcxXkqRWL26u+35Pn83+7WcH7quwNjTfD2n6PL5t nbLDKy7GdK06xHsNXeW7V76D7I0UXkIkT71b+Pe//fFbEPzxJ82+tgOP8T2LJdfKvyN86v8A+yVz 9dXrFtczay9tF86XG2X/AHf9uufv7OWzuHWVdnzVogKlFFFMAooooAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiigAooooAKKKparqq6VEksqs6N/coA7jwTt23Hy/P8A366jzK868MeMLawt buWWzu0+b7/lfJW7Z+J5bnVorT+zLtNzbPOdfk/j+f8A8crN7gdRTE/u09E20ykA+iiigDj/ABto +nW0y69LeXdhNEn2d/sm7Zdb/kRJUVPm2bv+A1L4bS5s/Nafclp/ceurqvND529WXejfwUbXAyk1 vTJvm+2Qf3/narFnqtjeSyxQXMc0q/IyI33f876ov4M0iZf3unwP8yv89XtN8MafpUvm21nHC7fx otAGhC61U1W1vnii/s+dYXWXe2/+Jau7P7tPoA4XWIfEth9kvJbm0d4m2M6L/DWlpthqb6M665eQ 3m5V2+TFsda29Ytvtml3EX8e3etZOqzNc2emRL/y12u3+7TA5W5ha2uJYm++rbKhrQ1u5gvNSeWB W2f+hVn1oAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFGzf8tFaGiWH2 y/Rf4F+dqAOw02zWGzigZVfav/j1aCIiU2FNlDzfL8tZAS0VXd23JVigBnmU+iigBr/cpPvU+igC vczKjIrts3fItRJqsX9pfYdrebt37/4Kr+IYZZLeKWLd+6l3ts+/tq7ZutzEk6qybl/jX56ALFFF FAFeHzftTr5qvF/c/jWua17/AEa6iil3bFVvK2V1GxbbzZdv+21Y+sItytvc/wAC7X/4DTWgHE0U +ZPJmdP7rUytACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArY8No329G X+61crf22pvcbrO5jhT5fvr/AN91seG9N8R+U863lon3tv7qk9gPRUmX5/79RO7vXD+T4j02/e5v rxZrfbsXyU/9DqWHxDryWry/ZraZPN2JM7bPl+f/AOwqAO7R1f8AhqWuc0S81W8iha+s47ZGi370 l3/Pv+5W2n75dtIDF1jxhFpTIv2G7uXaVov9Hi37f9uqdn48WZtv9kalv2+b/qP9iurfdt2rVe5s 2ms3iWVkdv40oAmsLlryzt53iaF5VV9j/wANS0xPurT6AKlzfxWcu2XciN91/wCCprbzfn81lfc2 9dn8K0y8Sd/K8jb975t/92ua1W8utK1z5pfkb59/+z/cpgdbRVea/gtfKZm+SX7r7fkqwjq67l+5 SAwvFt/BbWUVtJqLabNK29bjbvRdvzvv/wBmuMm8j7PLL/wlVzcxRKsWzb91WfZ/6HXpdzYWt+uy 5gjmTbs2TLvqpJolm/y/Y7byv7nlLQB5I+m/bLq78rX57l1+Ten8Na1tD5NvFFvZ9q7N7/xV2HiL R4La3eWCBU81vm2fJ81cjWiAKKKKYBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFF ABVvTfHMGlK1rLFO7rLsVIV37vnT/wCLqpQkexkb+PdQwNu58f6N5Txeazu25FTyn+auah8f2M2m /Y/KZ0b51/dPvrYubxkie28pdm7+789bvhvw3B9l+0zxLvl+6n+zUAaGgp52jWkqtvRl3LWqibab DbLCqKvyIvyKiVLUgFFFFABHVe5Sd5bfypdkW797ViOigCpf2c9zcW7RT+SkTb2T+9U1zZwXi7Z4 lf8A36looAitoVtrdIl+4q7Klo/iooAr39/BpVnLeXMqw28S72d22JVfR5pbm1eWVt6MzPF/u1z/ AMRfh6/jyyiij1q+0d4llX/R/nil3J/Gjfe+fY1dRYW0ttYW8ErK8qxKjOi7EZv9ypu7tNASzQrc RPEy/I1cFremtptwn9xq9Arn/Ftt51mjbfnrRAcZRRRVgFFFFABRRRQAUUUUAFFFFABRRRQAUUUU AFFFFABRRRQAUUUUAFFFFAGnYaVLcy7vldP9771dxbPsVIlib5f9nZRRWbAsUUUUgCiiigAjoooo AKKKKACOiiigAooooAKpaxCs1m6f3fnoooA88uU8m4daZRRWoBRRRQAUUUUAFFFFAH//2Q==04EF0ABE-FAB4-4EAD-864A-D40A4CA76FB3