St. Johns River Water Management District Springs and Seeps

Jill Stokes, St. Johns Water Management District, OpenData Admin & Geographic Information Systems Analyst III20210525St. Johns River Water Management District Springs and Seeps - May 2021vector digital datawww.fgdl.orgA 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 and the information was downloaded on 20210525. This dataset is an update to the springs_sjrwmd_jan14 layer.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. ..20210525Publication DateAs needed-83.253855-80.67955830.45175927.661305ISO 19115 Topic CategoriesinlandWatersNoneFloridaSt. Johns River Water Management DistrictNone2021NoneThe 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.St. Johns Water Management DistrictJill StokesOpenData Admin & Geographic Information Systems Analyst IIImailing and physical

4049 Reid Street

PalatkaFL32177US386-329-4336JStokes@sjrwmd.comGIS_Support@sjrwmd.com https://data-floridaswater.opendata.arcgis.com/St Johns River Water Management District (SJRWMD), other agencies where applicable. Springs and Seeps, By Source (SJRWMD) https://data-floridaswater.opendata.arcgis.com/datasets/springs-and-seeps-by-source-sjrwmd Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362Readme.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 ***20190617The dataset was downloaded in shapefile format from the following SJRWMD website on May 25th, 2021. https://data-floridaswater.opendata.arcgis.com/datasets/springs-and-seeps-by-source-sjrwmd OpenData_GroundwaterGeo.shp -------------------------- Original Projection Information: NAD_1983_HARN_UTM_Zone_17N -------------------------- Projected to NAD_1983_HARN_Florida_GDL_Albers (3087) 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: " & [STN_ID] & ")" -Added FGDLAQDATE and populated it based on the date GeoPlan received the data -Restructured table -Uppercased all fields -Renamed data from springseep to springs_sjrwmd_may2120210525University of Florida GeoPlan CenterKate Norrismailing

131 Architecture, PO Box 115706

GainesvilleFlorida32611-5706UShttps://www.geoplan.ufl.edu/data@fgdl.orgVectorSimpleFALSE0FALSEFALSEcoordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101SPRINGS_SJRWMD_MAY21SPRINGS_SJRWMD_MAY21.DBFSJRWMDFeature Class0FIDFIDOID400Internal feature number.EsriSequential unique whole numbers that are automatically generated.STN_IDA unique feature identifier (numeric) in the SJRWMD's Oracle table, Station Header.SJRWMDSTN_IDInteger10100STN_NMUnique official name (text) of the spring.SJRWMDSTN_NMString3200LAT_NODecimal Degree Location of Latitude.SJRWMDLAT_NODouble19188LONG_NODecimal Degree Location of Longitude.SJRWMDLONG_NODouble19188SRCE_IDField definition not provided by Source.SJRWMDSRCE_IDInteger10100CNTY_IDField definition not provided by Source.SJRWMDCNTY_IDInteger550STN_STTS_CField definition not provided by Source.SJRWMDSTN_STTS_CInteger550SRCE_OFFCLSource Official Name of the Aquifer that is the source of the spring. SJRWMDSRCE_OFFCLString3700DIV_IDField definition not provided by Source.SJRWMDDIV_IDInteger550PNT_LOC_DSPoint Location Description. Not unique, not the official name of the spring, this is additional information on the spring/seep entity's location.SJRWMDPNT_LOC_DSString18900STN_CTGRYWhether it is a Spring or Seep.SJRWMDSTN_CTGRYString700STN_CTGRY_Field definition not provided by Source.SJRWMDSTN_CTGRY_Integer550SPRING_MAGMagnitude of the spring - it's a value from 1-8, representing median of all discharge measurements for spring.SJRWMDSPRING_MAGString100HISTORICALHistorical Spring Magnitude- Pre-2003 median spring magnitude of all discharge measurements.SJRWMDHISTORICALString100SHAPEFeature geometry.ESRICoordinates defining the features.ShapeGeometry000SPRING_M_1Spring Magnitude Date- MM/DD/YYYY of last measurement used for the Magnitude median calculation.SJRWMDSPRING_M_1String1000LAT_DDLatitude in decimal degrees. GeoPlanLAT_DDDouble19188LONG_DDLongitude in decimal degrees. GeoPlanLONG_DDDouble19188MGRSMilitary 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. https://mgrsdata.org/ GeoPlanMGRSString1500GOOGLEMAPWebpage hyperlink to location in Google Maps.GeoPlanGOOGLEMAPString10000DESCRIPTFGDL added field based on the following fields: [STN_NM] & " (STATION ID: " & [STN_ID] & ")"GeoPlanDESCRIPTString10000FGDLAQDATEThe date FGDL acquired the data from the Source.GeoPlanFGDLAQDATEDate800AUTOIDAUTOIDInteger10100Florida Geographic Data Library (FGDL)mailing

131 Architecture, PO Box 115706

GainesvilleFlorida32611-5706USdata@fgdl.orgWeb site: http://www.fgdl.orgGeneral Information About FGDL: http://www.fgdl.org/metadataexplorer/help.htmlFGDL Metadata Information: http://www.fgdl.org/metadataexplorer/metadata.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/metadataexplorer/fgdlfaq.htmlFGDL Source Data Links: http://www.geoplan.ufl.edu/fgdl_source_links.htmFGDL Mailing list: http://www.fgdl.org/metadataexplorer/updates.htmlDOWNLOADABLE DATAThe 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.www.fgdl.orgDOWNLOADABLE DATA2020010120210626St. Johns Water Management DistrictJill StokesOpenData Admin & Geographic Information Systems Analyst IIImailing and physical

4049 Reid Street

PalatkaFL32177US386-329-4336JStokes@sjrwmd.comGIS_Support@sjrwmd.com https://data-floridaswater.opendata.arcgis.com/FGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeJill 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/20210626ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)data@fgdl.org131 Architecture, PO Box 115706GainesvilleFlorida32611-5706USFGDL Source Data Links: http://www.geoplan.ufl.edu/fgdl_source_links.htmGeneral Information About FGDL: http://www.fgdl.org/metadataexplorer/help.htmlFGDL Metadata Information: http://www.fgdl.org/metadataexplorer/metadata.htmlFGDL Mailing list: http://www.fgdl.org/metadataexplorer/updates.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/metadataexplorer/fgdlfaq.htmlWeb site: http://www.fgdl.org2020-01-01www.fgdl.orgDOWNLOADABLE DATADOWNLOADABLE DATAwww.fgdl.org0.000ShapefileSt. Johns River Water Management District Springs and Seeps - May 20212021-05-25Jill Stokes, St. Johns Water Management District, OpenData Admin & Geographic Information Systems Analyst IIIvector digital dataA 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 and the information was downloaded on 20210525. This dataset is an update to the springs_sjrwmd_jan14 layer.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.St Johns River Water Management District (SJRWMD), other agencies where applicable. Springs and Seeps, By Source (SJRWMD) https://data-floridaswater.opendata.arcgis.com/datasets/springs-and-seeps-by-source-sjrwmdJill 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/St. Johns River Water Management DistrictFlorida2021inlandWatersISO 19115 Topic CategoriesSt. Johns River Water Management DistrictFlorida2021inlandWatersThe 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.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.Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362Publication Date-83.253855-80.67955827.66130530.451759Process 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. ..The dataset was downloaded in shapefile format from the following SJRWMD website on May 25th, 2021. https://data-floridaswater.opendata.arcgis.com/datasets/springs-and-seeps-by-source-sjrwmd OpenData_GroundwaterGeo.shp -------------------------- Original Projection Information: NAD_1983_HARN_UTM_Zone_17N -------------------------- Projected to NAD_1983_HARN_Florida_GDL_Albers (3087) 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: " & [STN_ID] & ")" -Added FGDLAQDATE and populated it based on the date GeoPlan received the data -Restructured table -Uppercased all fields -Renamed data from springseep to springs_sjrwmd_may212021-05-25Kate NorrisUniversity of Florida GeoPlan Centerhttps://www.geoplan.ufl.edu/131 Architecture, PO Box 115706GainesvilleFlorida32611-5706USdata@fgdl.orgReadme.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 ***2019-06-17020210626105614001.0springs_sjrwmd_may210020.000file://\\data.ufdc-fs01.osg.ufl.edu\geo-fs8-qaqc\finaldata\state\post_load\springs_sjrwmd_may21.shpLocal Area NetworkProjectedGCS_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/10.8'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",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["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>225743210.67916927</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>CopyFeatures "Database 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