Alison D. Gordon 20210205 Vector Digital Dataset (Polyline) Denver, CO U.S. Geological Survey https://doi.org/10.5066/P9EKA147 Alison D. Gordon Glen B. Carleton Robert Rosman 2021 publication U.S. Geological Survey Scientific Investigations Report 2019-5146 Reston, VA U.S. Geological Survey U.S. Geological Survey SIR 2019-5146 https://doi.org/10.3133/sir20195146 This dataset contains 10-foot contours of the 2013 RioGrande aquifer potentiometric surface in the Coastal Plain of New Jersey. The potentiometric-surface contours show altitudes at which water levels would have risen in tightly-cased wells and represent conditions in October 2013 through January 2014. Groundwater-level data from 13 wells cased in, and with the screened interval open to the RioGrande aquifer, were used to construct the potentiometric surface and are publicly available from the U.S. Geological Survey's National Water Information System. Groundwater-level measurements were used in the construction of a potentiometric surface of the RioGrande aquifer and represent synoptic conditions in October 2013 through January 2014. The potentiometric-surface mapping is part of an ongoing cooperative agreement between the USGS and the New Jersey Department of Environmental Protection, to quantify current groundwater resources, evaluate changes in these resources at five-year increments, and provide information needed to address future human-related and environmental stress. 20131014 20140130 ground condition Complete None planned -75.0218 -74.0776 39.6918 38.8925 USGS Thesaurus groundwater groundwater level water resources hydrogeology water use Marine Realms Information Bank (MRIB) keywords aquifer water well effects of groundwater extraction USGS Metadata Identifier USGS:5efba80d82ced62aaaf05cf9 Common geographic areas New Jersey Please see 'Distribution-Info' for details. There is no guarantee concerning the accuracy of the data. Any user who modifies the data is obligated to describe the types of modifications they perform. Data have been checked to ensure the accuracy. If any errors are detected, please notify the originating office. The U.S. Geological Survey strongly recommends that careful attention be paid to the metadata file associated with these data. Acknowledgment of the U.S. Geological Survey would be appreciated in products derived from these data. User specifically agrees not to misrepresent the data, nor to imply that changes made were approved or endorsed by the U.S. Geological Survey. 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 for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Alison D Gordon U.S. Geological Survey, Northeast Region Hydrologist, Hydrologic Simulation Program mailing

3450 Princeton Pike

Lawrenceville NJ 08648 US 609-771-3934 609-771-3915 agordon@usgs.gov New Jersey Department of Environmental Protection provided funding in the support of this project. ESRI ArcGIS 10.5 Contours were constructed using water-level data from 13 wells retrieved from the USGS National Water Information System (U.S. Geological Survey, 2014) and plotted using ArcGIS 10.5 (ESRI, 2017). This dataset was checked for erroneous values. Water-level contour codes were checked to ensure agreement with groundwater altitude values and groundwater-flow directions. Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record for additional details. Representative and uniform data distribution is important when developing a potentiometric-surface map. Use of a geographic information system provided a spatial analysis of well sites. Groundwater-level measurements were converted from depth below land surface, in feet, to groundwater-level altitude, in feet above North American Vertical Datum of 1988 (NAVD 88). Cunningham, W. L. Schalk, C. W. 2011 publication U.S. Geological Survey Techniques and Methods 1–A1 Reston, VA U.S. Geological Survey http://pubs.usgs.gov/tm/1a1/ online 20131014 20140130 observed Cunningham and Schalk, 2011 Reference information used in the collection of groundwater levels. ESRI 2018 application/service Redlands, CA Environmental Systems Research Insitute https://desktop.arcgis.com/en/ computer program 20131014 20140130 observed ESRI, 2017 Program used to construct 2013 potentiometric-surface map U.S. Geological Survey 2014 application/service Reston, VA U.S. Geological Survey https://doi.org/10.5066/f7p55kjn online 20131014 20140130 observed U.S. Geological Survey, 2014 Access to water-resources data collected in 2013-2014. Alison D. Gordon 2021 vector digital data Denver, CO ScienceBase - U.S. Geological Survey https://doi.org/10.5066/P9EKA147 online 20131014 20140130 observed U.S. Geological Survey, 2021 Well locations and groundwater-level measurements used to construct the potentiometric surface. The first step was to identify and compile locations of groundwater wells in the study area that were measured during a 2008 groundwater-level synoptic of the RioGrande aquifer, plus locations of wells that had been installed in the subject aquifer since. 20130102 The second step was to measure groundwater levels in wells during mid-October 2013 through January 2014. Groundwater levels in 13 wells cased within and open to the RioGrande aquifer were measured. Depth to groundwater level was measured using a calibrated steel or electric tape graduated in hundredths (0.01) of a foot (ft). The steel and electric tapes were calibrated prior to the collection of water-level measurements. Calibration was performed by comparing the steel or electric tapes to a standardized steel tape used only for calibration. Measurements are available from the USGS National Water Information System (U.S. Geological Survey, 2014). 20131015 The third step was to compile and verify field groundwater-level measurements made in October 2013 through January 2014, in the RioGrande aquifer in the study area. Groundwater-level measurements were converted from depth below land surface, in feet, to groundwater-level altitude, in feet above North American Vertical Datum of 1988 (NAVD 88). 2014 The fourth step was input of groundwater-level altitude data at well locations to the ArcGIS Topo To Raster tool. Topo to Raster is an interpolation method specifically designed for the creation of a hydrologically correct raster surface, which imposes constraints to ensure connected drainage structure and correct representation of ridges and streams from input point, line and polygon data (ESRI, 2017). This tool created a 3-D raster of the potentiometric surface. The raster surface was converted to 10-ft contours using Contour, a tool that creates a line feature class of contour lines (ESRI, 2017). Contours were manually adjusted in certain areas based on topographical influence and point water-level altitudes, to more accurately represent the potentiometric surface. 2015 Vector Link 12 Universal Transverse Mercator 18 0.9996 -75.0 0.0 500000.0 0.0 coordinate pair 0.6096 0.6096 meters North_American_Datum_1983 GRS_1980 6378137.0 298.257222101 RIOG2013PS Table containing attribute information associated with the 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. Contour Groundwater level contour showing altitude at which the water level would have stood in tightly cased wells, measured between October 2013 and January 2014, in feet above NAVD 88. U.S. Geological Survey -30 20 Feet above NAVD 88 LineType Relative accuracy of the RioGrande aquifer potentiometric-surface contour, indicating the confidence of the contour placement. U.S. Geological Survey solid Solid lines indicate greater confidence in the water-level data where contours are based on measured data points. U.S. Geological Survey dash Dashed lines indicate that the water level was inferred in this area, and was not known because of a lack of measured data. Contour lines are approximately located. U.S. Geological Survey Shape_Leng Length of the polyline segment. ESRI 1744.920632 124363.923996 U.S. Geological Survey GS ScienceBase mailing

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner whenever applicable. The data have been approved for release and publication by the U.S. Geological Survey (USGS). Although the data have been subjected to rigorous review and are substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, the data are released on the condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from authorized or unauthorized use. Although the data have been processed successfully on a computer system at the U.S. Geological Survey, 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 U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. Users of the data are advised to read all metadata and associated documentation thoroughly to understand appropriate use and data limitations. Vector Digital Data Set (Polyline) ArcGIS 10.5 ESRI Polyline Shapefile Zip file contains the Shapefile as well as the associated metadata files. https://doi.org/10.5066/P9EKA147 No fees are applicable for obtaining the dataset. 20220810 GS-W-NJ DataRelease U.S. Geological Survey, Northeast Region Hydrologist mailing

3450 Princeton Pike

Lawrenceville NJ 08648 US 609-771-3958 609-771-3915 gs-w-nj_datarelease@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998