Filters: Tags: groundwater flow (X) > partyWithName: Anna M Nottmeier (X)
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This dataset consists of altitudes of 18 springs located throughout the study area which were used in construction of the potentiometric-surface map. Springs were selected from the previously published report by Kresse and Hays (2009), and site reconnaissance. Surface-water features and springs represent the intersection of the groundwater-table with land surface. Spring altitudes were calculated from 10-meter digital elevation model (DEM) data (U.S. Geological Survey, 2015; U.S. Geological Survey, 2016) . Select References: 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:...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arkansas,
Garland,
Hot Springs,
groundwater,
groundwater and surface-water interaction,
These datasets include wells, springs, and contours used to construct the Hot Springs Highway 270 bypass pre-construction potentiometric-surface map. During the summer of 2017, the U.S. Geological Survey and Hot Springs National Park Service collected groundwater measurements from 66 wells - 59 measurements were used to construct a potentiometric-surface map of wells screened in the Ouachita Mountains aquifer system. The pre-construction potentiometric-surface map provides an early, baseline assessment of groundwater levels and flow directions which will be compared to a later, post-construction groundwater potentiometric-surface map. In addition, comparisons to the pre-construction map will help to identify...
These data include groundwater-level data from 59 wells measured from July to August 2017. Measured groundwater data are also available from the USGS National Water Information System (U.S. Geological Survey, 2018) Well locations were selected from three sources: previously reported sites (Kresse and Hays, 2009), site reconnaissance, and driller’s logs obtained from the Arkansas Natural Resources Commission driller database. Reference: U.S. Geological Survey, 2018, USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed 1 July 2017 at http://dx.doi.org/10.5066/F7P55KJN.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arkansas,
Garland,
Hot Springs,
digital elevation models,
domestic well water use,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arkansas,
Garland,
Hot Springs,
aquifer,
elevation,
These datasets provide the locations of and groundwater-level altitudes from 273 wells that were used to construct a 2015 potentiometric contour surface of the Sparta-Memphis aquifer. Measurements were made from January through June 2015 and represent synoptic conditions. All wells were cased completely in and screened in the Sparta-Memphis aquifer. Groundwater-level data are also available from the USGS National Water Information System (U.S. Geological Survey, 2017). The groundwater-level change maps for the Sparta-Memphis aquifer are constructed as a point-to-point comparison with wells measured in both 2011 and 2013 and both 2013 and 2015. Wells not measured in both 2011 and 2013 and both 2013 and 2015 were...
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