20200817161331001.0FGDC CSDGM MetadataFALSEepastoret_jul2057383.460700796352.32820042675.807100781497.1501001file://\\filesrv\qaqc\finaldata\state\post_load\epastoret_jul20.shpLocal Area Network0.000002ProjectedGCS_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/10.7'><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>FeatureClassToFeatureClass Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp "Database Connections\poke_etat.sde\aaa\" EPASTORET_JUL20 # "ID "ID" true true false 50 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,ID,-1,-1;STATION "STATION" true true false 30 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,STATION,-1,-1;LOCATION "LOCATION" true true false 160 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,LOCATION,-1,-1;AGENCY "AGENCY" true true false 20 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,AGENCY,-1,-1;AGENCYNAME "AGENCYNAME" true true false 120 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,AGENCYNAME,-1,-1;TYPE "TYPE" true true false 50 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,TYPE,-1,-1;COUNTY "COUNTY" true true false 20 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,COUNTY,-1,-1;HUCCODE "HUCCODE" true true false 10 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,HUCCODE,-1,-1;LAT_DD "LAT_DD" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,LAT_DD,-1,-1;LONG_DD "LONG_DD" true true false 19 Double 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,LONG_DD,-1,-1;MGRS "MGRS" true true false 15 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,MGRS,-1,-1;GOOGLEMAP "GOOGLEMAP" true true false 100 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,GOOGLEMAP,-1,-1;FLAG "FLAG" true true false 5 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,FLAG,-1,-1;DESCRIPT "DESCRIPT" true true false 160 Text 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,DESCRIPT,-1,-1;FGDLAQDATE "FGDLAQDATE" true true false 8 Date 0 0 ,First,#,Q:\finaldata\state\pre_load\epa\epastoret_jul20.shp,FGDLAQDATE,-1,-1" #AddField "Database Connections\poke_etat.sde\aaa\\EPASTORET_JUL20" AUTOID LONG # # # # NULLABLE NON_REQUIRED #CalculateField "Database Connections\poke_etat.sde\aaa\\EPASTORET_JUL20" AUTOID !OBJECTID! PYTHON_9.3 #AddIndex "Database Connections\poke_etat.sde\aaa\\EPASTORET_JUL20" AUTOID A20200904161143 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\EPASTORET_JUL20" DESCRIPT D20200904161143 NON_UNIQUE NON_ASCENDINGAnalyze "Database Connections\poke_etat.sde\aaa\\EPASTORET_JUL20" BUSINESSAddIndex "Database Connections\poke_etat.sde\aaa\\EPASTORET_JUL20" ID AF20200904161146 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\EPASTORET_JUL20" AGENCY AF20200904161149 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\EPASTORET_JUL20" TYPE AF20200904161151 NON_UNIQUE NON_ASCENDINGAddIndex "Database Connections\poke_etat.sde\aaa\\EPASTORET_JUL20" STATION AF20200904161154 NON_UNIQUE NON_ASCENDINGAnalyze "Database Connections\poke_etat.sde\aaa\\EPASTORET_JUL20" BUSINESSCopyFeatures "Database Connections\poke_etat.sde\aaa\EPASTORET_JUL20" Q:\finaldata\state\post_load\epastoret_jul20.shp # 0 0 0202009041640570020200904164057001500000005000FGDCJon BeckerU.S. Environmental Protection AgencySTORET/ WQX Region 4 Point of Contact(404) 562-9227USEPA Mailroom N127-02Research Triangle ParkNC27711USbecker.jon@epa.gov20200813ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlDOWNLOADABLE DATAhttps://www.waterqualitydata.us/0.000ShapefileUS EPA Storage and Retrieval (STORET) System for Water Quality Monitoring in Florida - July 20202020-07-30U.S. Environmental Protection Agency, Office of Environmental InformationWashington, DCU.S. Environmental Protection Agencyvector digital dataState of Florida<DIV STYLE="text-align:Left;"><DIV><P><SPAN>This data set contains locations of and information on water quality monitoring sites that are within EPA's Storage and Retrieval (STORET) System. Water quality monitoring information comes from EPA's STORET System, a repository of physical, chemical and biological monitoring data from state and federal agencies, watershed organizations, volunteer groups and many others. Surface water, Ground water, and Others are general categories for more specific STORET Station Types. Water quality monitoring is a crucial aspect to protecting water resources. State, Tribal, and Federal agencies must monitor lakes, streams, rivers, and other types of water bodies to assist them in determining water quality condition. From these monitoring activities, water quality monitoring data is generated. Without this data, water resource managers cannot know where pollution problems exist, where we need to focus our pollution control energies, or where we've made progress. The STORET Data Warehouse is EPA's repository of the water quality monitoring data collected by water resource management groups across the country. These organizations, including states, tribes, watershed groups, other federal agencies, volunteer groups and universities, submit data to the STORET Warehouse in order to make their data publically accessible. Data can then be re-used for analysis. WQX is the framework by which organizations submit data to the Warehouse. This is an update to the FGDL layer EPASTORET_JUN19.</SPAN></P></DIV></DIV>The Storage and Retrieval (STORET) System is used by EPA programs, regions, states, and water programs for monitoring water quality.United States Environmental Protection AgencyEPA GIS Agency Central SupportU.S. Environmental Protection AgencyOEI RTP NCC GIS919-767-7493USEPA Mailroom N127-02Research Triangle ParkNC27711USesrisupport@epa.govFlorida2019ISO 19115 Topic CategorysocietyinlandWatershealthenvironmentWater QualityPermitsNWQMCNational Water Quality Monitoring CouncilRegulatoryInspectionsFacilitiesWater MonitoringComplianceSTORETsocietyWater QualityinlandWatersPermitsNWQMCNational Water Quality Monitoring CouncilRegulatoryhealthInspectionsFacilitiesWater MonitoringComplianceSTORETFloridaenvironment2019The 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: http://geoplan.ufl.edu/education.htmlFIPS Pub 199Standard Technical Controls<DIV STYLE="text-align:Left;"><DIV><P><SPAN>EPA: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. While EPA has used its best efforts to include complete and accurate information in this system, EPA cannot be held responsible for errors or omissions and is not liable for any direct, indirect or consequential damages resulting from using this information. Reliance on the information contained in this system by any party cannot be used as a defense in any administrative or judicial proceeding. In such proceedings, the specific language of the relevant regulation or statute is binding. Acknowledgement of the EPA would be appreciated.</SPAN></P></DIV></DIV>EPA Water Quality Data Portal https://www.waterqualitydata.us/Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.0.10450-87.589814-79.84755824.32854331.041869publication date2020-07-30Water Quality Portal (WQP) The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). The Water Quality Data Portal (WQP) provides an easy way to access data stored in various large water quality databases. The WQP provides various input parameters on the form including location, site, sampling, and date parameters to filter and customize the returned results. The WQP can return site information (locations where samples were collected), or it can return sample results (analytical data of collected samples). Any field in the form left blank will cause a search for all parameters in that field. For example, if a user selects US and California for the country and state respectively, but leaves the county field blank, data will be returned for all counties in California. This is also true of the fields under "SITE PARAMETERS" and "SAMPLING PARAMETERS". Equivalent data retrievals can be performed using web services, which have the same input parameters and predefined output formats offered through the form. For more information and examples on accessing the web services, see the Web Services Guide. Users less familiar with the standard notation used to encode a web services request may find the form more convenient. As the form is filled out, a URL can be generated by clicking on "Show RESTlike queries" at the bottom of the form. This can be used as the URL to access the data through web services. Available Databases USGS NWIS - Water-resources data collected from approximately 1.5 million sites in all 50 states, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa, and the Commonwealth of the Northern Mariana Islands. NWIS is updated every 24 h. Data recently added to NWIS may not be immediately accessible through the WQP. Data is available for each location since the beginning of the database. USEPA STORET - A data warehouse for water quality, biological, and physical data used by state environmental agencies, EPA, other federal agencies, universities, private citizens, and others. STORET is updated weekly on Thursday evening. Data recently added to STORET may not be immediately accessible through the WQP. The portal will return data from each location since the beginning of the database. https://www.waterqualitydata.us/portal_userguide/1-87.589814-79.84755831.04186924.328543Locations are tested and reported individuallyCompleteness of the data set varies for individual features.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 GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanSpatial and Attribute Information0tabular digital dataGeoPlan Center downloaded the spatial data (.CSV) from the following National Water Quality Monitoring Council (NWQMC) Website on 8/5/2020: EPA Water Quality Data Portal http://www.waterqualitydata.us/index.jsp LOCATION: Country: US State: FLORIDA SITE PARAMETERS Blank DOWNLOAD: EPA STORET only Download tabular data: Comma-separated Station.csv The Station.csv had Latitude and Longitude fields in the following projection: GCS_WGS_1984 The Add XY Data Tool was used to convert the table to a point layer. Next the data was reprojected to Albers NAD83 Harn. Next point errors located in the ocean were removed. For a small subset of records, latitude and longitude values were modified to fix obvious errors. See FLAG field definition for details. Added FLAG field. Added LAT_DD field. Added LONG_DD field. Added MGRS field. Added GOOGLEMAP field. Added DESCRIPT field based on FAC_NAME. Added FGDLAQDATE field.2020-08-13GeoPlan0EPASTORET_JUL20EPASTORET_JUL20.DBFU.S. Environmental Protection AgencyFeature Class0FIDFIDOID400Internal feature number.EsriSequential unique whole numbers that are automatically generated.GOOGLEMAPWebpage hyperlink to location in Google Maps.GeoPlanGOOGLEMAPString10000AGENCYNAMEAgency Name. The legal designator (i.e. formal name) of an organization.EPAAGENCYNAMEString12000FLAGType of update performed by GeoPlan.GeoPlanGLongitude value editedGeoPlanTLatitude value editedGeoPlanFLAGString500IDAGENCY + STATION. A designator used to describe the unique name, number, or code assigned to identify the monitoring location.EPAIDString5000COUNTYCounty Name.EPACOUNTYString2000AGENCYAgency Code. A designator used to uniquely identify a unique business establishment within a context.EPAAGENCYString2000MGRSMilitary 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/GeoPlanMGRSString1500TYPEStation Type. A site type is a generalized location in the hydrologic cycle, or a man-made feature thought to affect the hydrologic conditions measured at a site. Select from a list of site types represented in the source databases. Site types that exist in only one data source are indicated with the database in parentheses. More than one site type may be selected. Multiple site types are listed in the field separated by semicolons.EPAOCEANStation water monitoring site is of an ocean. Site in the open ocean, gulf, or sea. (See also: Estuary).EPAWETLANDStation water monitoring site is of a wetland. Land where saturation with water is the dominant factor determining the nature of soil development and the types of plant and animal communities living in the soil and on its surface (Cowardin, December 1979). Wetlands are found from the tundra to the tropics and on every continent except Antarctica. Wetlands are areas that are inundated or saturated by surface or groundwater at a frequency and duration sufficient to support, and that under normal circumstances do support, a prevalence of vegetation typically adapted for life in saturated soil conditions. Wetlands generally include swamps, marshes, bogs and similar areas. Wetlands may be forested or unforested, and naturally or artificially created.EPAESTUARYStation water monitoring site is of an estuary. A coastal inlet of the sea or ocean; esp. the mouth of a river, where tide water normally mixes with stream water (modified, Webster). Salinity in estuaries typically ranges from 1 to 25 Practical Salinity Units (psu), as compared oceanic values around 35 psu.EPASUBSURFACEStation water monitoring site is of a subsurface feature. A location below the land surface, but not a well, soil hole, or excavation.EPAOTHER SURFACE WATERStation water monitoring site is of a Surface water feature. A water body on the land surface that cannot otherwise be categorized within the other site types.EPASPRINGStation water monitoring site is of a spring. A location at which the water table intersects the land surface, resulting in a natural flow of groundwater to the surface. Springs may be perennial, intermittent, or ephemeral.EPAOTHER GROUNDWATERStation water monitoring site is of a Groundwater feature. A location below the land surface that cannot otherwise be categorized within the other site types.EPARIVER/STREAMStation water monitoring site is of a river/stream. A body of running water moving under gravity flow in a defined channel. The channel may be entirely natural, or altered by engineering practices through straightening, dredging, and (or) lining.EPAWELLStation water monitoring site is of a well. A hole or shaft constructed in the earth intended to be used to locate, sample, or develop groundwater, oil, gas, or some other subsurface material.EPALANDStation water monitoring site is of a land feature. A location on the surface of the earth that is not normally saturated with water. Land sites are appropriate for sampling vegetation, overland flow of water, or measuring land-surface properties such as temperature. (See also: Wetland).EPALAKE, RESERVOIR, IMPOUNDMENTStation water monitoring site is of a lake. An inland body of standing fresh or saline water that is generally too deep to permit submerged aquatic vegetation to take root across the entire body (cf: wetland). This site type includes an expanded part of a river, a reservoir behind a dam, and a natural or excavated depression containing a water body without surface-water inlet and/or outlet.EPAFACILITYStation water monitoring site is of a facility. A non-ambient location where environmental measurements are expected to be strongly influenced by current or previous activities of humans.EPATYPEString5000STATIONStation Code.EPASTATIONString3000HUCCODEHydrologic Unit Code (HUC) for facility location. The federal code used to identify the hydrologic unit of the monitoring location to the cataloging unit level of precision. Full hydrologic unit codes (HUCs) or partial HUCs using trailing wildcards ("*") may be entered. Only trailing wildcards are accepted. More than one HUC may be entered, separated by semicolons.EPAHUCCODEString1000ShapeFeature geometry.ESRICoordinates defining the features.ShapeGeometry000DESCRIPTBased on the field LOCATION.GeoPlanDESCRIPTString16000LONG_DDLongitude in decimal degrees.GeoPlanLONG_DDDouble19188LAT_DDLatitude in decimal degrees.GeoPlanLAT_DDDouble19188FGDLAQDATEThe date FGDL acquired the data from the Source.GeoPlanFGDLAQDATEDate800LOCATIONDescription of station location. The designator specified by the sampling organization for the site at which sampling or other activities are conducted.EPALOCATIONString16000AUTOIDAUTOIDInteger10100datasetEPSG6.13(9.2.0)SimpleFALSE0FALSEFALSE/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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==