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Problem The Village of Dryden, rural homeowners, farms, and businesses in the Virgil Creek Valley tap several confined sand and gravel aquifers in the Virgil Creek valley in the town of Dryden . The valley contains a large moraine with complex stratigraphy consisting of continuous and discontinuous layers of till, lake deposits, and glaciofluvial sand and gravel. Sand and gravel units form the aquifers in the valley-fill deposits. There are at least three extensive confined aquifer units at various depths. However, little is known about (1) the location of recharge and discharge areas, (2) direction of groundwater flow, (3) extent of hydraulic connection between aquifer units, and (4) extent of surface- and ground-water...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Completed,
Ecoflows,
Ecoflows,
Ecoflows,
GW Model,
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 well logs used in the creation of the Cortland hydrogeologic framework. Well logs were used from multiple sources (DEC, DOT, NWIS) and were a crucial component in generating hydrogeologic layer elevations and thicknesses. Well logs are available in their original form on GeoLog Locator (https://webapps.usgs.gov/GeoLogLocator/#!/) and provided here in the digitized form (shapefiles and feature classes), which were used in the generation of the hydrogeologic framework.
Digital hydrogeologic datasets were developed for the Rondout-Neversink study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, lacustrine silt and clay top and bottom elevation rasters, lidar minimum elevation raster, lacustrine extent polygon, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match the model grid cell size.
This dataset includes well logs used in the creation of the Olean hydrogeologic framework. Well logs were used from multiple sources (DEC, DOT, NWIS, ESOGIS, and recently digitized archived material) and were a crucial component in generating hydrogeologic layer elevations and thicknesses. Well logs are available in their original form on GeoLog Locator (https://webapps.usgs.gov/GeoLogLocator/#!/) and provided here in the digitized form (shapefiles and feature classes), which were used in the generation of the hydrogeologic framework.
This dataset includes "smoothing points" used in the creation of the Jamestown hydrogeologic framework. Smoothing points were manually added and were used to enhance interpolated layers using geologic assumptions and include: valley edge points, centerline bedrock points, and upland bedrock SSURGO points.
The town of Greene is located in Chenango County, New York. Previous USGS reports here include Open-File Report 2003-242 (Hetcher and others, 2003), and Scientific Investigations Map 2914 (Hetcher-Aguila and Miller, 2005). The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
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 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 two separate reports for the Jamestown 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.
This U.S. Geological Survey (USGS) data release contains estimated daily mean streamflow for Broadstreet Hollow Brook at Highway 28 at Allaben NY (USGS station ID 01362232) and Bushnellsville Creek at State Highway 42 at Shandaken NY (USGS station ID 0136219702) based on methods in Gazoorian (2015) and available discharge data from West Kill near West Kill NY (USGS station ID 01349810). Instantaneous streamflow and estimated instantaneous suspended-sediment loads for Hollow Tree Brook at State Highway 214 at Lanesville NY (USGS station ID 01362345) were derived from streamflow data from Hollow Tree Brook at Lanesville (01362342), methods in Lumia and others (2006) and Rasmussen and others (2009), and available...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Catskill Mountains,
Esopus Creek,
GW or SW,
Groundwater and Streamflow Information,
Hydrology,
This folder contains water-level recovery data for selected hydraulic tests that support USGS Scientific Investigations Report 2020-5087, "Transmissivity Estimated from Brief Pumping Tests of Domestic Wells and Compared with Bedrock Lithofacies and Position on Hillsides in the Appalachian Plateau of New York." These data are part of a data release that contains observed water-level recovery data in 52 wells, matched to theoretical type curves defined by postulated values of aquifer transmissivity and storage, that together constitute the database for USGS Scientific Investigations Report 2020-5087. The water-level recovery data were collected after 13 to 132 seconds of pumping. Five of the wells were also test-pumped...
This U.S. Geological Survey (USGS) data release provides surface water quality and groundwater elevation data collected by USGS personnel within the Central Pine Barrens (CPB) Region of Suffolk County, New York, from October 1, 2021 through September 30, 2022. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a comprehensive water resources monitoring program during 2017 to 2023. Water quality and quality assurance data from seven sites on two rivers (Carmans River- five sites and Peconic River- two sites) in the CPB are included. Carmans River sites were sampled four times throughout the year (fall, winter, spring, and summer) and Peconic River...
Categories: Data;
Tags: Ambient Monitoring,
Contaminants, Emerging,
Contaminants, Natural,
Contaminants, Organic,
GW or SW,
From April 2013 to August 2015, the U.S. Geological Survey, in cooperation with the Town of Enfield and the Tompkins County Planning Department, collected horizontal-to-vertical seismic soundings at 69 locations in the Enfield Creek valley to help determine thickness of the unconsolidated deposits and depth to bedrock. The HVSR technique, commonly referred to as the passive-seismic method, is used to estimate the thickness of unconsolidated sediments and the depth to bedrock (Lane and others, 2008). The passive-seismic method uses a single, broad-band three-component (two horizontal and one vertical) seismometer to record ambient seismic noise. In areas that have a strong acoustic contrast between the bedrock and...
Digital hydrogeologic datasets were developed for the Greene study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, lacustrine silt and clay top and bottom elevation rasters, lidar minimum elevation raster, lacustrine extent polygon, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match the model grid cell size.
Digital hydrogeologic datasets were developed for the Jamestown study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, lacustrine silt and clay top and bottom elevation rasters (where present), LIDAR minimum elevation raster, lacustrine extent polygon, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match what was done in previous work.
This dataset includes georeferenced TIFF files from two separate reports for the Fishkill and Wappinger Falls 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.
This dataset includes georeferenced tiff files from two separate reports for the Greene study area, where appropriate data 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
The city of Cortland is located in Cortland County, New York. Previous USGS reports here include Water-Resources Investigations Report 96-4255 (Miller and others, 1998), and Open-File Report 81-1022 (Miller and Brooks, 1981). The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
This dataset includes georeferenced tiff files from two separate reports for the Cortland 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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