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USGS Hydrologic Conditions Maps for Long Island, NY, 2006
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Description: The U.S. Geological Survey (USGS), in cooperation with State and local agencies, systematically collects ground-water data at varying measurement frequencies to monitor the hydrologic situation on Long Island, New York. Each year during March and April, the USGS conducts a synoptic survey of hydrologic conditions to define the spatial distribution of the water table and potentiometric surfaces within the three main water-bearing units underlying Long Island—the upper glacial, Magothy, and Lloyd aquifers.
Water-level measurements made in 502 wells across Long Island during March-April 2006, were made by the wetted-tape method to the nearest hundredth of a foot. Water-table and potentiometric-surface altitudes in these aquifers were contoured using these measurements.
The water-table contours were interpreted using water-level data collected from 341 wells screened in the upper glacial aquifer and (or) shallow Magothy aquifer; the Magothy aquifer’s potentiometric-surface contours were interpreted from measurements at 102 wells screened in the middle to deep Magothy aquifer and (or) contiguous and hydraulically connected Jameco aquifer; and the Lloyd aquifer’s potentiometric-surface contours were interpreted from measurements at 59 wells screened in the Lloyd aquifer or contiguous and hydraulically connected North Shore aquifer.
In these datasets, all water-level altitudes are referenced to the National Geodetic Vertical Datum of 1929 (NGVD 29).
Three feature classes depict the potentiometric-surface altitudes in the upper glacial, Magothy, and Lloyd aquifers. A raster dataset depicts the estimated depth to water table beneath Long Island.
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(20.0mb Zip file):
Suggested citation:Monti, Jack, Jr., and Busciolano, Ronald, 2009, Water-Table and Potentiometric-Surface Altitudes in the Upper Glacial, Magothy, and Lloyd Aquifers beneath Long Island, New York, March-April 2006: U.S. Geological Survey, Scientific Investigations Map 3066, 4 sheets, scale 1:125,000, http://pubs.usgs.gov/sim/3066/