29,756248,1972,753,9612,407,803NoneNet projected Land cover change from baseline to 2050Model outputLULCChange typeAttribute labels: forest, developed, cropland, pasture, wetlandNominalA1BNet LULC change for A1B scenario.Attribute Descriptions-136646.2885913.37hectare0.09A1BfNet LULC change for A1Bf scenario.Attribute Descriptions-120729.0680664.12hectare0.09A2Net LULC change for A2 scenario.Attribute Descriptions-133540.8366507.48hectare0.09A2fNet LULC change for A2f scenario.Attribute Descriptions-119673.0960371.91hectare0.09B1Net LULC change for B1 scenario.Attribute Descriptions-40002.4849331.07hectare0.09B1fNet LULC change for B1f scenario.Attribute Descriptions-16797.3349331.07hectare0.09B2Net LULC change for B2 scenario.Attribute Descriptions-43355.7933579.99hectare0.09B2fNet LULC change for B2f scenario.Attribute Descriptions-21563.5533389.73hectare0.09N/AAttribute accuracy is described, where present, with each attribute defined in the Entity and Attribute Section.We developed four 2011-2050 land cover change scenarios and modeled the impact of projected land cover change on influent water quality to support long-term planning for the city of Minneapolis, MN. Baseline land cover was from the NLCD2011 database. IPCC SRES scenarios (https://www.ipcc.ch/site/assets/uploads/2018/03/sres-en.pdf) interpreted by Sohl et al. (2014) (https://doi.org/10.1890/13-1245.1) for the conterminous United States were downscaled from 250 meters to 30 meters. The baseline and scenario land cover data were used as input into the Soil Water and Assessment Tool (SWAT) model to assess the effect of outyear projected land cover change on the source of raw water for the city of Minneapolis, MN. SWAT was used to assess the effect of land cover change raw water concentrations of sediment, total nitrogen, and total phosphorus. The IPCC SRES evaluated were A1B, A2, B1, and B2. The four scenarios were implemented with (A1Bf) and without (A1B) forest recovery (e.g., conversion of cropland (2011) to forest (2050) for a total of eight scenarios. The LULC net change file reports total change in hectares between 2011 and 2015 for forest, developed, cropland, pastures, and wetland for the four IPCC SRES scenarios with and without forest recovery.U.S. Environmental Protection AgencyLULC Net Change for: Modeling Future Land Cover and Water Quality Change in Minneapolis, MN, USA to Support Drinking Water Source Protection Decisions2023-03-03NoneEPA Place Names2015-01-31https://ofmpub.epa.gov/sor_internet/registry/termreg/searchandretrieve/taxonomies/search.do?search=&searchString=&taxonomyName=WBT%20-%20Geographic%20LocationsWeb Taxonomy - Geographic LocationsUnited StatesUnited StatesFederal Program Inventory2013-09-16https://www.performance.gov/federalprograminventoryFederal Program Inventory020:072020:072EPA GIS Keyword Thesaurus2007-11-02https://www.epa.gov/geospatial/epa-metadata-technical-specificationEPA Metadata Technical SpecificationClimateLandClimateEnvironmentLandUser2020-11-23010digital spatial dataGISImage processingImageryBaseMapEarthCoverLand coverLand Use Land Cover ThemeNational Geospatial Data AssetU.S. Geological Survey (USGS)010digital spatial dataGISImage processingImageryBaseMapEarthCoverLand coverLand Use Land Cover ThemeNational Geospatial Data AssetNGDAU.S. Geological Survey (USGS)PublisherJames WickhamU.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment109 TW Alexander Dr.DurhamNC27709wickham.james@epa.govUS919.541.3077-8846-87472022-02-23T08:00:00Corner Coordinates (center of pixel, projection meters) Upper Left Corner: 29756 meters(X), 2753961 meters(Y) Lower Right Corner: 248197 meters(X), 2407803 meters(Y)EnvironmentUnited StatesClimateLand010digital spatial dataGISImage processingImageryBaseMapEarthCoverLand coverLand Use Land Cover ThemeNational Geospatial Data AssetU.S. Geological Survey (USGS)NGDAIT / Data Management (Science and TechnologyEnvironmental Programs and ManagementSuperfundLeaking Underground Storage Tanks)Unrestricted Licensehttps://edg.epa.gov/EPA_Data_License.htmlEPA Public Domain License2023-03-20E3728DC5-F122-46CA-9978-56A8ECA67C61James WickhamU.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment109 TW Alexander Dr. DurhamNC27709wickham.james@epa.govUS919.541.3077https://edg.epa.gov/EPADataCommons/Public/ORD/EnviroAtlas/Minneaoplis_Water_Quality_LCscenarios.ziphttps://www.mrlc.gov/dataLand cover modeling was done in a GIS environment using the NLCD2011 database (Homer et al. 2015. Photogrammetric Engineering and Remote Sensing 81:345-354); SWAT is a spatial water quality model. Map coordinates are based on an Albers conical equal area projection. Projection parameters: false_easting (0.0); false_northing (0.0); central meridian (-96.0); standard parallel 1 (29.50); standard parallel 2 (49.50); latitude of origin (23.0); linear unit (meter); geographic coordinate system (GCS North American 1983); datum (D North American 1983); prime meridian (Greenwich); angular unit (degree). Watershed area is approximately 50,000 sq. km.Test2023-03-20Test11.01500000005000ISO19115_3