{8B22035C-8063-4727-8B2A-C15A3584579E} US Environmental Protection Agency, Office of Water 20101005 2010 vector digital data U.S. EPA Office of Water (OW) Washington, DC https://watersgeo.epa.gov/mwm/data/wqsstates.kmz https://edg.epa.gov/metadata/ https://watersgeo.epa.gov/mwm/ Data layer mashup in a kmz format using Census data: U.S. States (Generalized) represents the 50 states and the District of Columbia of the United State. This polygonal data was enhanced with outline boundaries for the Virgin Islands, Northern Mariana Islands, and Guam from TIGER data: TIGER/Line Shapefile, 2008, nation, U.S., State and Equivalent (https://www.census.gov/geo/www/tiger). Attribute data from the Assessment Total Maximum Daily Load Tracking and Implementation System (ATTAINS) database was joined to this boundary layer to summarize the latest available data for each state. ATTAINS presents information about water quality assessments, impairments and restorative actions using Total Maximum Daily Loads. This data is used in the US EPA Office of Waters (OW) MyWaters Mapper application (https://watersgeo.epa.gov/mwm/ ) to graphically display the latest ATTAINS data for each state. Largest scale when displaying the data: 1:3,000,000. Publication date 20101005 Complete As needed -179.230233 179.859681 71.441059 -14.597259 User keywords polygon area boundaries ATTAINS Water Quality impaired waters 303d TMDL listed waters total maximum daily loads None United States U.S. States States None ISO 19115 Topic Category boundaries environment inlandWaters EPA GIS Keyword Thesaurus Contaminant Water Access granted to Licensee only. The data are provided by multiple, third party data vendors under license to ESRI for inclusion on ESRI Data & Maps for use with ESRI® software. 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FIPS Pub 199 No Confidentiality Standard Technical Controls U.S. Environmental Protection Agency, Headquarters Tracy Kerchkof Information Technology Specialist U.S. EPA Office of Water mailing address

1200 Pennsylvania Avenue, N.W.

Mail Code 4101M

Washington DC 20460 202-566-1145 waters_support@epa.gov https://www3.epa.gov/ Features represented have not been tested for completeness The geospatial part of this data set was extracted from the ArcUSA 1:25M database, then generalized. Generalizing reduces positional accuracy and the tolerance was not recorded so the positional accuracy exceeds that of the ArcUSA data set. The positional accuracy of the ArcUSA 1:25M data set is 1792 meters which is based on generalizing–to a tolerance of 500 meters–the 1:2,000,000-scale USGS Digital Line Graph (DLG) source data. ESRI 19920601 1 vector digital data ESRI Redlands, California, USA 25000000 CD–ROM 19920601 publication date ArcUSA 1:25M Attribute and geospatial data Department of Commerce, Census Bureau 2000 Summary File 1 (SF1) 2000 Department of Commerce, Census Bureau USA The Summary File 1 (SF1) data is based on the 2000 Census of Population. 2001 CD–ROM 2000 ground condition Census SF1 Attribute data ESRI 2001; 200303; 200407; 20050519, 20070606 2007 tabular digital data ESRI® Community™ Data 2007 Redlands, California, USA ESRI http://www.esri.com Currently provides the POP2007 attribute. In the past has provided the POP2005, POP2004, POP2003, and POP2001 attributes. ESRI Community Data Attribute data 2001 200303 200407 20050519 20070606 publication date electronic mail system, CD–ROM, DVD–ROM CD–ROM USDA Farm U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) 199903 Census of Agriculture 1997 USA U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) The farm attributes come from data published by the U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS) based on the 1997 Census of Agriculture. 1997 Attribute data 1997 ground condition Tele Atlas North America, Inc. 200201 Version 4.0 vector digital data Tele Atlas® Dynamap®/Census Boundaries v4.0 Tele Atlas North America, Inc. Lebanon, New Hampshire, USA 100000 CD–ROM 200201 publication date Tele Atlas Dynamap/Census Boundaries v4.0 Attribute and geospatial data 20021010 The following steps were performed by ESRI: Copied the Molokai coastline from U.S. Counties (Generalized). Created ArcGIS® layer file (.lyr), projection file (.prj), and spatial indices. Converted the data set to SDC. 20101115 Used ESRI created state polygon layer in sdc format and converted to shapefile 20101115 Created attribute table from ATTAINS database using the following SQL: select * from ( select state, cycle, 'Total Size' t, sum(stream_size) stream_size, sum(river_size) river_size, sum(bay_size) bay_size, sum(coastal_size) coastal_size, sum(wetland_size) wetland_size, sum(gls_size) gls_size, sum(glo_size) glo_size, sum(glc_size) glc_size, sum(inland_size) inland_size, sum(watershed_size) watershed_size, sum(unknown_size) unknown_size from ( select a.state, a.cycle, decode(water_type_group, 'STREAM/CREEK/RIVER', total_water_size, null) stream_size, decode(water_type_group, 'LAKE/RESERVOIR/POND', total_water_size, null) river_size, decode(water_type_group, 'BAY/ESTUARY', total_water_size, null) bay_size, decode(water_type_group, 'COASTAL', total_water_size, null) coastal_size, decode(water_type_group, 'OCEAN/NEAR COASTAL', total_water_size, null) ocean_size, decode(water_type_group, 'WETLAND', total_water_size, null) wetland_size, decode(water_type_group, 'GREAT LAKES SHORELINE', total_water_size, null) gls_size, decode(water_type_group, 'GREAT LAKES OPEN WATER', total_water_size, null) glo_size, decode(water_type_group, 'GREAT LAKES CONNECTING CHANNEL', total_water_size, null) glc_size, decode(water_type_group, 'INLAND LAKE SHORELINE', total_water_size, null) inland_size, decode(water_type_group, 'WATERSHED', total_water_size, null) watershed_size, decode(water_type_group, 'UNKNOWN', total_water_size, null) unknown_size from attains.total_state_size a, attains.assessment_control b where a.state = b.state and a.cycle = b.current_year) group by state, cycle, 'Total Size' union select state, cycle, 'Good Waters' t, sum(stream_size) stream_size, sum(river_size) river_size, sum(bay_size) bay_size, sum(coastal_size) coastal_size, sum(wetland_size) wetland_size, sum(gls_size) gls_size, sum(glo_size) glo_size, sum(glc_size) glc_size, sum(inland_size) inland_size, sum(watershed_size) watershed_size, sum(unknown_size) unknown_size from ( select a.state, a.cycle, decode(water_type_group, 'STREAM/CREEK/RIVER', total_size, null) stream_size, decode(water_type_group, 'LAKE/RESERVOIR/POND', total_size, null) river_size, decode(water_type_group, 'BAY/ESTUARY', total_size, null) bay_size, decode(water_type_group, 'COASTAL', total_size, null) coastal_size, decode(water_type_group, 'OCEAN/NEAR COASTAL', total_size, null) ocean_size, decode(water_type_group, 'WETLAND', total_size, null) wetland_size, decode(water_type_group, 'GREAT LAKES SHORELINE', total_size, null) gls_size, decode(water_type_group, 'GREAT LAKES OPEN WATER', total_size, null) glo_size, decode(water_type_group, 'GREAT LAKES CONNECTING CHANNEL', total_size, null) glc_size, decode(water_type_group, 'INLAND LAKE SHORELINE', total_size, null) inland_size, decode(water_type_group, 'WATERSHED', total_size, null) watershed_size, decode(water_type_group, 'UNKNOWN', total_size, null) unknown_size from attains.mv_impaired_pie a, attains.assessment_control b where a.state = b.state and a.cycle = b.current_year and status = 'GOOD') group by state, cycle, 'Good Waters' union select state, cycle, 'Impaired Waters' t, sum(stream_size) stream_size, sum(river_size) river_size, sum(bay_size) bay_size, sum(coastal_size) coastal_size, sum(wetland_size) wetland_size, sum(gls_size) gls_size, sum(glo_size) glo_size, sum(glc_size) glc_size, sum(inland_size) inland_size, sum(watershed_size) watershed_size, sum(unknown_size) unknown_size from ( select a.state, a.cycle, decode(water_type_group, 'STREAM/CREEK/RIVER', total_size, null) stream_size, decode(water_type_group, 'LAKE/RESERVOIR/POND', total_size, null) river_size, decode(water_type_group, 'BAY/ESTUARY', total_size, null) bay_size, decode(water_type_group, 'COASTAL', total_size, null) coastal_size, decode(water_type_group, 'OCEAN/NEAR COASTAL', total_size, null) ocean_size, decode(water_type_group, 'WETLAND', total_size, null) wetland_size, decode(water_type_group, 'GREAT LAKES SHORELINE', total_size, null) gls_size, decode(water_type_group, 'GREAT LAKES OPEN WATER', total_size, null) glo_size, decode(water_type_group, 'GREAT LAKES CONNECTING CHANNEL', total_size, null) glc_size, decode(water_type_group, 'INLAND LAKE SHORELINE', total_size, null) inland_size, decode(water_type_group, 'WATERSHED', total_size, null) watershed_size, decode(water_type_group, 'UNKNOWN', total_size, null) unknown_size from attains.mv_impaired_pie a, attains.assessment_control b where a.state = b.state and a.cycle = b.current_year and status <> 'GOOD') group by state, cycle, 'Impaired Waters' ) order by state, cycle, decode(t, 'Total Size', 1, 'Good Waters', 2, 'Impaired Waters', 3, 4); select state, current_year cycle, get_top_state_cause(state, current_year, 'STREAM/CREEK/RIVER') stream_cause, get_top_state_cause(state, current_year, 'LAKE/RESERVOIR/POND') river_cause, get_top_state_cause(state, current_year, 'BAY/ESTUARY') bay_cause, get_top_state_cause(state, current_year, 'COASTAL') coastal_cause, get_top_state_cause(state, current_year, 'OCEAN/NEAR COASTAL') ocean_cause, get_top_state_cause(state, current_year, 'WETLAND') wetland_cause, get_top_state_cause(state, current_year, 'GREAT LAKES SHORELINE') gls_cause, get_top_state_cause(state, current_year, 'GREAT LAKES OPEN WATER') glo_cause, get_top_state_cause(state, current_year, 'GREAT LAKES CONNECTING CHANNEL') glc_cause, get_top_state_cause(state, current_year, 'INLAND LAKE SHORELINE') inland_cause, get_top_state_cause(state, current_year, 'WATERSHED') watershed_cause, get_top_state_cause(state, current_year, 'UNKNOWN') unknown_cause from attains.assessment_control order by state; select state, current_year cycle, get_top_state_source(state, current_year, 'STREAM/CREEK/RIVER') stream_source, get_top_state_source(state, current_year, 'LAKE/RESERVOIR/POND') river_source, get_top_state_source(state, current_year, 'BAY/ESTUARY') bay_source, get_top_state_source(state, current_year, 'COASTAL') coastal_source, get_top_state_source(state, current_year, 'OCEAN/NEAR COASTAL') ocean_source, get_top_state_source(state, current_year, 'WETLAND') wetland_source, get_top_state_source(state, current_year, 'GREAT LAKES SHORELINE') gls_source, get_top_state_source(state, current_year, 'GREAT LAKES OPEN WATER') glo_source, get_top_state_source(state, current_year, 'GREAT LAKES CONNECTING CHANNEL') glc_source, get_top_state_source(state, current_year, 'INLAND LAKE SHORELINE') inland_source, get_top_state_source(state, current_year, 'WATERSHED') watershed_source, get_top_state_source(state, current_year, 'UNKNOWN') unknown_source from attains.assessment_control order by state; 20101005 Joined attribute data to states layer, exported out to kmz file using ArcToolbox, Layer to KML tool D_WGS_1984_Major_Auxiliary_Sphere WGS_1984_Major_Auxiliary_Sphere 6378137.000000 298.257224 meters coordinate pair 0.000001 0.000001 Mercator 0.000000 0.000000 0.000000 0.000000 Water Quality Assessment Information Latest TMDL and 303d data from ATTAINS by State Office of Water ObjectID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. STUSPS NAME STATE CYCLE TOTAL_STREAM_SIZE TOTAL_ASSESS_STREAM GW_STREAM_SIZE IW_STREAM_SIZE PERCENT_ASSESS_STREAM PERCENT_GW_STREAM PERCENT_IW_STREAM TOTAL_LAKE_SIZE TOTAL_ASSESS_LAKE GW_LAKE_SIZE IW_LAKE_SIZE PERCENT_ASSESS_LAKE PERCENT_GW_LAKE PERCENT_IW_LAKE TOTAL_BAY_SIZE TOTAL_ASSESS_BAY GW_BAY_SIZE IW_BAY_SIZE PERCENT_ASSESS_BAY PERCENT_GW_BAY PERCENT_IW_BAY TOTAL_COASTAL_SIZE TOTAL_ASSESS_COASTAL GW_COASTAL_SIZE IW_COASTAL_SIZE PERCENT_ASSESS_COASTAL PERCENT_GW_COASTAL PERCENT_IW_COASTAL STREAM_CAUSE LAKE_CAUSE BAY_CAUSE COASTAL_CAUSE STREAM_SOURCE LAKE_SOURCE BAY_SOURCE COASTAL_SOURCE Shape_Length Length of feature in internal units. ESRI Positive real numbers that are automatically generated. Shape_Area Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. Layer rendering is based on Total Water Quality Needs calculation. To calculate this information for each state: -- Total Water Quality Needs ($M) - Use the total of Categories I, II, III, IV, V, VI, & X. -- Wastewater Treatment Plant Needs ($M) - Use Categories I & II -- Wastewater Pipe Needs ($M) - Use Categories III, IV, & X -- Combined Sewer Overflow and Stormwater Management Needs ($M) - Use Categories V & VI -- Septic System and Nonpoint Source Control Needs ($M) - Use Categories XII and VII respectively. Ted Czado, CWNS Team, Czado.Ted@epamail.epa.gov, US EPA Office of Water U.S. Environmental Protection Agency Tracy Kerchkof Information Technology Specialist U.S. EPA Office of Water mailing address

1200 Pennsylvania Avenue, N.W.

Washington DC 20460 202-566-1145 waters_support@epa.gov https://www3.epa.gov/ Live Data and Maps https://edg.epa.gov/EPA_Data_License.htm FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time 20101214 20141115 U.S. Environmental Protection Agency Tracy Kerchkof Information Technology Specialist U.S. EPA Office of Water mailing address

1200 Pennsylvania Ave. NW

Washington DC 20460 202-566-1145 waters_support@epa.gov