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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 model archive makes available the Soil-Water-Balance (SWB) model (Westenbroek and others, 2010) and input data used to estimate the potential amount of annual groundwater recharge to the Long Island aquifer system from 1900 to 2019 as described in U.S. Geological Survey Scientific Investigations Report 2021-5143. Input data for two SWB simulations are included in the archive. The first simulation uses existing land-use/land-cover datasets to estimate changes in recharge with changing land use from 1900-2019 (referred to as the post-development simulation). The second simulation assumed a forested, undeveloped (pre-development simulation) condition across Long Island for the same period. The same soil coverages...
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.
Background For effective wellhead protection, the area where water carrying potential contaminants can enter the groundwater system and flow to the supply well must first be defined, and then best management practices need to be implemented to minimize the opportunity for contamination to occur in areas defined as sources of water to the well. Determination of the sources of water and contributing areas to wells is complex because aquifers and their connection with recharge sources are heterogeneous in nature and hidden from direct observation. The major groundwater source for public supplies in upstate New York are valley-fill aquifers of glacial and post-glacial origin. Saturated coarse-grained sediments (sand...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cooperative Water Program,
GW Model,
GW Model,
GW model,
Groundwater-Flow Modeling,
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
This dataset includes georeferenced tiff files from three separate reports for the Rondout Neversink 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.
Supplementary Points for the Fishkill and Wappinger Falls sourcewater study area in upstate New York
This dataset includes "smoothing points" used in the creation of the Fishkill and Wappinger Falls hydrogeologic framework. Smoothing points were manually added and were used to enhance interpolated layers using geologic assumptions and include: valley edge points, report points, and upland bedrock SSURGO points.
This dataset includes well logs used in the creation of the Cincinnatus 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.
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