2567EDA9-95F9-4A49-BA4D-54A002237582 eng utf8 dataset dataset James Wickham U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment 919.541.3077 109 TW Alexander Dr. Durham NC 27709 US wickham.james@epa.gov pointOfContact 2023-03-20 ISO 19139 Geographic Information - Metadata - Implementation Specification 2007 EPSG:4326 Trends in Source Water Quality for: Modeling Future Land Cover and Water Quality Change in Minneapolis, MN, USA to Support Drinking Water Source Protection Decisions 2023-03-03 publication 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 on 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). Data on treatment of raw (source) water quality, provided by the city of Minneapolis, MN, were used in autoregressive models to determine if there was a temporal trend in mass of treatment chemicals applied. Models were run separately for each treatment chemical. Data are monthly application rates from 2008 through 2017. The day of the month for the date variable was nominally set to one (1). Data for alum were incomplete from 2008 through 2011, which were set to zero (0) and treated as missing in the autoregressive model. Water volume treated is in megagallons (Mg); 1 Mg = 1000 gallons. A dummy variable for change in management philosphy was included in the model. The dummy variable was set to zero (0) for the period 2008 - 2014 and one (1) afterward. The dummy variable is not included in the file. It had a significant effect only for the CO2 treatment chemical. U.S. Environmental Protection Agency James Wickham U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment 919.541.3077 109 TW Alexander Dr. Durham NC 27709 US wickham.james@epa.gov publisher unknown United States United States place EPA Place Names 2015-01-31 publication 020:072 020:072 theme Federal Program Inventory 2013-09-16 publication Climate Land Climate Environment Land theme EPA GIS Keyword Thesaurus 2007-11-02 publication 010 digital spatial data GIS Image processing ImageryBaseMapEarthCover Land cover Land Use Land Cover Theme National Geospatial Data Asset U.S. Geological Survey (USGS) 010 digital spatial data GIS Image processing ImageryBaseMapEarthCover Land cover Land Use Land Cover Theme National Geospatial Data Asset NGDA U.S. Geological Survey (USGS) theme User 2020-11-23 publication None EPA Public Domain License licenseUnrestricted https://edg.epa.gov/EPA_Data_License.html eng utf8 -88 46 -87 47 2022-02-23T08:00:00 Corner Coordinates (center of pixel, projection meters) Upper Left Corner: 29756 meters(X), 2753961 meters(Y) Lower Right Corner: 248197 meters(X), 2407803 meters(Y) https://edg.epa.gov/EPADataCommons/Public/ORD/EnviroAtlas/Minneaoplis_Water_Quality_LCscenarios.zip download download https://www.mrlc.gov/data information download dataset Test 2023-03-20 publication Test true Land 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.