Filters: Types: OGC WFS Layer (X) > partyWithName: Joshua C Woda (X)
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PROBLEM The valley‐fill aquifer in the lower Fall Creek valley (designated as aquifer 4, fig. 1), within the Towns of Dryden and Groton, was mapped by Miller (2000) and identified as one of 17 unconsolidated aquifers in Tompkins County that need to be studied in more detail. The east end of the valley (near the Tompkins and Cortland County border) is on the backside of a large morainal plug, which is part of the Valley Heads Moraine. A large system of springs discharge from the backside of the moraine and forms part of the headwaters to Fall Creek. The valley‐fill aquifer thins and pinches out to the west (figs. 1 and 2)— where the valley is floored by bedrock and becomes a “hanging valley” to Cayuga Lake trough....
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cornell University,
Fall Creek,
Groundwater Monitoring,
Groundwater and Streamflow Information,
Groundwater-Quality Monitoring,
The Neversink River watershed (above the Neversink Reservoir) has been a focus of U.S. Geological Survey (USGS) research regarding stream geochemistry, acidification, and ecology dynamics for decades. In 2019, the Water Mission Area Next Generation Water Observing Systems Program augmented the existing stream gage network there, including instrumentation to specifically characterize various aspects of groundwater discharge to streams. An important control on the spatiotemporal dynamics of groundwater discharge can be stream valley corridor depth to bedrock, otherwise conceptualized as the thickness of unconsolidated sediments sediments over the contiguous bedrock interface. In June 2019, and November 2020, passive...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: HVSR,
Neversink River,
New York,
Sullivan County,
USGS Science Data Catalog (SDC),
This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated python script (Jahn, 2020).
This dataset includes georeferenced TIFF files from three separate reports for the Olean study area that have been digitized into feature classes within ArcGIS. Not all digitized and georeferenced data was necessarily used in the final interpolations, however they may have contributed to understanding the local hydrogeology.
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