This dataset contains 50-ft contours for the Hot Springs shallowest unit of the Ouachita Mountains aquifer system potentiometric-surface map. The potentiometric-surface shows altitude at which the water level would have risen in tightly-cased wells and represents synoptic conditions during the summer of 2017. Contours were constructed from 59 water-level measurements measured in selected wells (locations in the well point dataset). Major streams and creeks were selected in the study area from the USGS National Hydrography Dataset (U.S. Geological Survey, 2017), and the spring point dataset with 18 spring altitudes calculated from 10-meter digital elevation model (DEM) data (U.S. Geological Survey, 2015; U.S. Geological Survey, 2016). After collecting, processing, and plotting the data, a potentiometric surface was generated using the interpolation method Topo to Raster in ArcMap 10.5 (Esri, 2017a). This tool is specifically designed for the creation of digital elevation models and imposes constraints that ensure a connected drainage structure and a correct representation of the surface from the provided contour data (Esri, 2017a). Once the raster surface was created, 50-ft contour interval were generated using Contour (Spatial Analyst), a spatial analyst tool (available through ArcGIS 3D Analyst toolbox) that creates a line-feature class of contours (isolines) from the raster surface (Esri, 2017b). The Topo to Raster and contouring done by ArcMap 10.5 is a rapid way to interpolate data, but computer programs do not account for hydrologic connections between groundwater and surface water. For this reason, some contours were manually adjusted based on topographical influence, a comparison with the potentiometric surface of Kresse and Hays (2009), and data-point water-level altitudes to more accurately represent the potentiometric surface. Select References: Esri, 2017a, How Topo to Raster works—Help | ArcGIS Desktop, accessed December 5, 2017, at ArcGIS Pro at http://pro.arcgis.com/en/pro-app/tool-reference/3d-analyst/how-topo-to-raster-works.htm. Esri, 2017b, Contour—Help | ArcGIS Desktop, accessed December 5, 2017, at ArcGIS Pro Raster Surface toolset at http://pro.arcgis.com/en/pro-app/tool-reference/3d-analyst/contour.htm. Kresse, T.M., and Hays, P.D., 2009, Geochemistry, Comparative Analysis, and Physical and Chemical Characteristics of the Thermal Waters East of Hot Springs National Park, Arkansas, 2006-09: U.S. Geological Survey 2009–5263, 48 p., accessed November 28, 2017, at https://pubs.usgs.gov/sir/2009/5263/. U.S. Geological Survey, 2015, USGS NED 1 arc-second n35w094 1 x 1 degree ArcGrid 2015, accessed December 5, 2017, at The National Map: Elevation at https://nationalmap.gov/elevation.html. U.S. Geological Survey, 2016, USGS NED 1 arc-second n35w093 1 x 1 degree ArcGrid 2016, accessed December 5, 2017, at The National Map: Elevation at https://nationalmap.gov/elevation.html.
BEDROCK_SURFACE_250K_IGS_IN.SHP is an Esri line shapefile providing a contoured depiction of the bedrock surface elevation of Indiana. Surface contours are represented by polylines (50 foot contour interval) each with a single value that provides estimated elevation of bedrock surface in feet.
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This dataset contains the contours, in feet, of the potentiometric-surface, spring 2020, Mississippi River Valley alluvial aquifer (MRVA). The contours are referenced to the North American Vertical Datum of 1988 (NAVD 88). The contours were derived from most of the available groundwater-altitude (GWA) data from wells and surface-water-altitude (SWA) data from streamgages, measured in for spring 2020. The potentiometric contours ranged from 10 to 340 feet (3 to 104 meters) above NAVD 88. The regional direction of groundwater flow was generally towards the south-southwest, except in areas of groundwater-altitude depressions, where groundwater flows into the depressions, and near rivers, where groundwater flow generally parallels the flow in the rivers.
This data set represents potentiometric surface contours for the Deadwood aquifer, Black Hills, South Dakota.
This dataset contains 10-foot contours of the 2013 Piney Point 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 56 wells cased in, and with the screened interval open to the Piney Point aquifer, were used to construct the potentiometric surface and are publicly available from the U.S. Geological Survey's National Water Information System.
This dataset contains 10-foot contours of the 2013 Vincentown 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 32 wells cased in, and with the screened interval open to the Vincentown aquifer, were used to construct the potentiometric surface and are publicly available from the U.S. Geological Survey's National Water Information System.
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Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Density corrected groundwater …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Density corrected groundwater elevation contours for the Permian aquifers in the Pedirka Basin displayed at a 20 m interval. Purpose To describe the regional groundwater flow pattern within the Pedirka Basin. Dataset History Groundwater flow contours are based on density corrected water level measurements from groundwater wells and pressure readings from drill stem tests in exploration wells. Contours are reduced to relative Australian Height Datum (mAHD). Due to data paucity the line work was developed using digitised hand drawn contours. The potentiometric surface is published in the Pedirka Basin Hydrogeological Map (Sampson L, Wohling D, Fulton S, Jensen-Schmidt B and Keppel M, 2014, South Australia and Northern Territory Pedirka Basin Hydrogeological Map - Part 1 & Part 2. Department of Environment, Water and Natural Resources, South Australian Government). Dataset Citation SA Department of Environment, Water and Natural Resources (2015) Pedirka Basin Potentiometric Surface Contour 20m - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/2f30f5f2-3a52-46c4-93f2-44e538cbb0c3.
Groundwater potentiometric-surface contours for spring 2022 (April 4 to 8, 2022) and autumn 2022 (October 30 to November 4, 2022) were created for the alluvial aquifer in Big Lost River Valley. The well numbers and station names used to create the potentiometric-surface contours and groundwater-level change maps are provided in this data release. The location, depth to water, and potentiometric-surface altitude for these wells can be accessed on USGS National Water Information System (NWIS) or Idaho Department of Water Resources (IDWR) groundwater portal. The interpreted 20-foot contours of the potentiometric-surface are also provided in this data release. The contours are referenced to the North American Vertical Datum of 1988 (NAVD 88). The potentiometric-surface contours are divided into three water-bearing units - shallow, intermediate, and deep - based on well depth, potentiometric-surface altitude, and hydrogeologic unit. The intermediate and deep units were only identified in the southern portion of the valley near Arco, Idaho. The potentiometric-surface contours ranged from 4,900 to 6,660 feet above NAVD 88. The groundwater-level change at well sites from spring to autumn 2022, spring to autumn 1968, spring 1968 to spring 2022, spring 1991 to spring 2022, and spring 1968 to spring 1991 were calculated and are provided in a shapefile.
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This dataset depicts contours of estimated change in groundwater piezometric surfaces in the unconfined or uppermost semi-confined aquifers, between two specified years, by season. Contours represent change in groundwater level (elevation) by year and season (fall or spring). The contour interval is 10 ft. The contours represent lines of equal change in groundwater level surface. Positive values indicate groundwater has risen (groundwater surface elevation has increased) from the early year to the late year, while negative values indicate groundwater level surface has fallen (decreased in elevation ) from the early year to the late year.Water level measurements used for contouring are selected based on measurement date and well construction information, where available, and approximate groundwater levels in the unconfined to uppermost semi-confined aquifers. For more information on this service, please contact: gis@water.ca.gov
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Contours representing the potentiometric surface of the groundwater pressure level in the T2 aquifer of the Adelaide Plains sub-basin in February 2022.
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This service depicts contours of estimated groundwater piezometric surfaces in the unconfined or uppermost semi-confined aquifers. Contours represent depth below ground surface (feet), and elevation above mean sea level (in feet), by year and season (fall or spring). The contour interval is 10 ft.
For 'Depth' type contours, contours represent lines of equal depth to groundwater level surface from the ground surface. Depth information is represented in feet below the ground surface. Higher contour values indicate increasing depth to groundwater (deeper/lower groundwater elevations). Negative values indicate that the groundwater level is above ground surface.
For more information on this service, please contact: gis@water.ca.gov
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Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Represents the potentiometric …Show full descriptionAbstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Represents the potentiometric surface of groundwater within the JK Aquifer of the Great Artesian Basin. Purpose To indicate the potentiometric surface of groundwater within the JK Aquifer. Dataset History This file was developed along with a number of other data sets as part of the Australian Government funded research program entitled Allocating Water and Maintaining Springs in the GAB. http://archive.nwc.gov.au/library/topic/groundwater/allocating-water-and-maintaining-springs-in-the-great-artesian-basin This file contains locality and relative to height datum measurements of groundwater (RSWL) from the GAB (JK) Aquifer that were used to develop the potentiometric surface for the GAB Aquifer. Dataset Citation SA Department of Environment, Water and Natural Resources (2015) Corrected Potentiometric Surface Contour (mAHD) - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/8bc323d6-0635-4555-abf5-e7c1302d8957.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.
Represents the potentiometric surface of groundwater within the JK Aquifer of the Great Artesian Basin.
To indicate the potentiometric surface of groundwater within the JK Aquifer.
This file was developed along with a number of other data sets as part of the Australian Government funded research program entitled "Allocating Water and Maintaining Springs in the GAB". http://archive.nwc.gov.au/library/topic/groundwater/allocating-water-and-maintaining-springs-in-the-great-artesian-basin
This file contains locality and relative to height datum measurements of groundwater (RSWL) from the GAB (JK) Aquifer that were used to develop the potentiometric surface for the GAB Aquifer.
SA Department of Environment, Water and Natural Resources (2015) Corrected Potentiometric Surface Contour (mAHD) - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/fdc28393-31b3-40d8-b4d3-287ae2c90a3e.
This data set represents potentiometric surface contours for the Madison aquifer, Black Hills, South Dakota.
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Global Surface Roughness Contour Measurement market size 2025 was XX Million. Surface Roughness Contour Measurement Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.
This data set represents potentiometric surface contours for the Minnekahta aquifer, Black Hills, South Dakota.
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Contours representing the potentiometric surface of the groundwater pressure level in the T1 aquifer of the Adelaide Plains sub-basin in February 2022.
This data set represents potentiometric surface contours for the Inyan Kara aquifer, Black Hills, South Dakota.
description: This part of DS 781 presents data for the bathymetric contours for several seafloor maps of the Offshore of Aptos map area, California. The vector data file is included in "Contours_OffshoreAptos.zip," which is accessible from http://dx.doi.org/10.5066/F7K35RQB. 10-m interval contours of the Offshore Aptos map area, California, were generated from bathymetry data collected by the U.S. Geological Survey (USGS) and by California State University, Monterey Bay (CSUMB). Mapping was completed between 2006 and 2009 using a combination of a 244-kHz Reson 8101 multibeam echosounder and a 234-kHz SEA SWATHplus bathymetric sidescan-sonar system. The mapping missions collected bathymetry data from about the 10-m isobath to beyond the 3-nautical-mile limit of California’s State Waters. Bathymetric contours at 10-m intervals were generated from a modified 2-m bathymetric surface. The original surface was smoothed using the Focal Mean tool in ArcGIS and a circular neighborhood with a radius of 20 to 30 meters (depending on the area). The contours were generated from this smoothed surface using the ArcGIS Spatial Analyst Contour tool. The most continuous contour segments were preserved while smaller segments and isolated island polygons were excluded from the final output. The contours were then clipped to the boundary of the map area.; abstract: This part of DS 781 presents data for the bathymetric contours for several seafloor maps of the Offshore of Aptos map area, California. The vector data file is included in "Contours_OffshoreAptos.zip," which is accessible from http://dx.doi.org/10.5066/F7K35RQB. 10-m interval contours of the Offshore Aptos map area, California, were generated from bathymetry data collected by the U.S. Geological Survey (USGS) and by California State University, Monterey Bay (CSUMB). Mapping was completed between 2006 and 2009 using a combination of a 244-kHz Reson 8101 multibeam echosounder and a 234-kHz SEA SWATHplus bathymetric sidescan-sonar system. The mapping missions collected bathymetry data from about the 10-m isobath to beyond the 3-nautical-mile limit of California’s State Waters. Bathymetric contours at 10-m intervals were generated from a modified 2-m bathymetric surface. The original surface was smoothed using the Focal Mean tool in ArcGIS and a circular neighborhood with a radius of 20 to 30 meters (depending on the area). The contours were generated from this smoothed surface using the ArcGIS Spatial Analyst Contour tool. The most continuous contour segments were preserved while smaller segments and isolated island polygons were excluded from the final output. The contours were then clipped to the boundary of the map area.
This geospatial data set contains groundwater level contours, well locations, and associated metadata that characterize the potentiometric surface near the Rondout pressure-tunnel in High Falls, New York during November 5–7, 2019, and January 21–22, 2020. The pressure tunnel was shut down and partially dewatered for 74 days from November 11, 2019, to January 23, 2020, for inspection and repairs.
This dataset contains 50-ft contours for the Hot Springs shallowest unit of the Ouachita Mountains aquifer system potentiometric-surface map. The potentiometric-surface shows altitude at which the water level would have risen in tightly-cased wells and represents synoptic conditions during the summer of 2017. Contours were constructed from 59 water-level measurements measured in selected wells (locations in the well point dataset). Major streams and creeks were selected in the study area from the USGS National Hydrography Dataset (U.S. Geological Survey, 2017), and the spring point dataset with 18 spring altitudes calculated from 10-meter digital elevation model (DEM) data (U.S. Geological Survey, 2015; U.S. Geological Survey, 2016). After collecting, processing, and plotting the data, a potentiometric surface was generated using the interpolation method Topo to Raster in ArcMap 10.5 (Esri, 2017a). This tool is specifically designed for the creation of digital elevation models and imposes constraints that ensure a connected drainage structure and a correct representation of the surface from the provided contour data (Esri, 2017a). Once the raster surface was created, 50-ft contour interval were generated using Contour (Spatial Analyst), a spatial analyst tool (available through ArcGIS 3D Analyst toolbox) that creates a line-feature class of contours (isolines) from the raster surface (Esri, 2017b). The Topo to Raster and contouring done by ArcMap 10.5 is a rapid way to interpolate data, but computer programs do not account for hydrologic connections between groundwater and surface water. For this reason, some contours were manually adjusted based on topographical influence, a comparison with the potentiometric surface of Kresse and Hays (2009), and data-point water-level altitudes to more accurately represent the potentiometric surface. Select References: Esri, 2017a, How Topo to Raster works—Help | ArcGIS Desktop, accessed December 5, 2017, at ArcGIS Pro at http://pro.arcgis.com/en/pro-app/tool-reference/3d-analyst/how-topo-to-raster-works.htm. Esri, 2017b, Contour—Help | ArcGIS Desktop, accessed December 5, 2017, at ArcGIS Pro Raster Surface toolset at http://pro.arcgis.com/en/pro-app/tool-reference/3d-analyst/contour.htm. Kresse, T.M., and Hays, P.D., 2009, Geochemistry, Comparative Analysis, and Physical and Chemical Characteristics of the Thermal Waters East of Hot Springs National Park, Arkansas, 2006-09: U.S. Geological Survey 2009–5263, 48 p., accessed November 28, 2017, at https://pubs.usgs.gov/sir/2009/5263/. U.S. Geological Survey, 2015, USGS NED 1 arc-second n35w094 1 x 1 degree ArcGrid 2015, accessed December 5, 2017, at The National Map: Elevation at https://nationalmap.gov/elevation.html. U.S. Geological Survey, 2016, USGS NED 1 arc-second n35w093 1 x 1 degree ArcGrid 2016, accessed December 5, 2017, at The National Map: Elevation at https://nationalmap.gov/elevation.html.