Goodling, Phillip J Metes, Marina J Pajerowski, Matthew G 2020 Vector Digital Data Set (Polyline) Reston, VA U.S. Geological Survey https://doi.org/10.5066/P97UKYNR Pajerowski, Matthew G Goodling, Phillip J Metes, Marina J 2020 publication Reston, VA U.S. Geological Survey This dataset describes plume boundary extents for total dinitrotoluene (Total DNT) in the vicinity of the Badger Army Ammunition Plant in Sauk County, Wisconsin for various time intervals between 2000 - 2018. The purpose of these data were to delineate plume boundary extents for various contaminants of concern at multiple time intervals between 2000 - 2018, and assess the overall monitoring network at the Badger Army Ammunition Plant. Each plume boundary file name is organized to include the contaminant of concern (COC), start (YEAR1) and end (YEAR2) of time interval, plume ID, and whether the boundary is defined by the enforcement standard (ES) or preventive action (PAL) limit concentration. The structure is as follows: COC_YEAR1_YEAR2_PLUMEID_ES/PAL Where the seven possible contaminants are: (1) CTET - carbon tetrachloride, (2) TCE - trichloroethene, (3) T112TCA - 1,1,2-trichloroethane, (4) EE - ethyl ether, (5) T24DNT - 2,4-dinitrotoluene, (6) T26DNT - 2,6-dinitrotoluene, or (7) TDNT - total dinitrotoluene; the four possible time intervals are: (1) 2000-2002, (2) 2005 - 2007, (3) 2010 - 2012, or (4) 2015 - 2018; and the three possible plume IDs are: (1) PBG - propellant burning ground, (2) CP - central plume, or (3) DBG - deterrent burning ground. 2000 2018 ground condition Complete None planned -89.75945 -89.69257 43.37809 43.30202 USGS Thesaurus groundwater groundwater quality water quality USGS Metadata Identifier USGS:5f0c834f82ce21d4c402eeaa Common geographic areas Sauk Wisconsin none none Matthew G Pajerowski U.S. Geological Survey, Northeast Region Supervisory Hydrologist mailing and physical

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Catonsville MD 21228 US 443-498-5506 mgpajero@usgs.gov Water quality data used to create this dataset was provided by the U.S. Army Environmental Command and SpecPro Professional Services. Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1 (Build 11595) Service Pack N/A (Build N/A) No formal attribute accuracy tests were conducted No formal logical accuracy tests were conducted Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details. No formal positional accuracy tests were conducted No formal positional accuracy tests were conducted The maximum contaminant concentration value for each well in a multi-year period (2000-02, 2005-07, 2010-12, 2015-18) was identified. For wells with non-detect results, 1/2 the limit of detection was used for the concentration value. 2019 A natural-neighbor interpolation of the chemical data for each contaminant at each depth interval was implemented, which created a 10-by-10-ft resolution raster of contaminant concentration. 2019 Contour lines at the desired contaminant level ES (or PAL) were extracted. The plume boundaries for all depth intervals (A–F) were overlaid, and the outer-most edge of all of the levels (spatial union) was taken as the map-view plume boundary. 2019 The plume boundary was manually smoothed to remove interpolation artifacts, including physically unreasonable plume shapes. The plume boundaries were evaluated to determine whether all sides of the plume boundary were surrounded by wells with a 3-year value less than the ES (PAL) for every depth interval in which there was an ES (PAL) exceedance. If a well exceeding the contaminant ES (PAL) was on the outer extent of the monitoring well network, then the contour line was drawn as a solid line along the well field boundary. If this criterion was not met, the line was dashed to indicate uncertainty over the exact positioning of the plume boundary because the sample well field may have determined the plume extent. 2019 Badger Army Ammunition Plant, Sauk County, Wisconsin Vector String 245 Lambert Conformal Conic 42.7333333333 44.0666666667 -90.0 42.0 1968500.0 0.0 coordinate pair 0.001 0.001 meters D_North_American_1983 GRS_1980 6378137.0 298.257222101 COC_YEAR1_YEAR2_PLUMEID_ES/PAL.shp Geospatial Dataset U.S. Geological Survey FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. Line_Style Indicates if there is uncertainty over the exact positioning of the plume boundary U.S. Geological Survey Dashed refers to plume boundaries that cannot be reliably interpolated owing to limitations in the spatial distribution of sampled wells GS ScienceBase U.S. Geological Survey mailing and physical

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Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The original data were collected and compiled by the U.S. Army Environmental Command and questions on the original data provided to the U.S. Geological Survey should be directed to the U.S. Army Environmental Command. This zip file contains data available in ESRI shapefile format. The user must have software capable of uncompressing the WinZip file and displaying the shapefile. In lieu of ArcView or ArcGIS, the user may utilize another GIS application package capable of importing the data. A free data viewer, ArcExplorer, capable of displaying the data is available from ESRI at www.esri.com. An ArcGIS Mapping Service link is also provided to view the data in ArcGIS online. 20200908 Matthew G Pajerowski U.S. Geological Survey, Northeast Region Supervisory Hydrologist mailing and physical

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Catonsville MD 21228 US 443-498-5506 443-498-5510 mgpajero@usgs.gov Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998