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Using publicly available data for Albany and Schenectady counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital...
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Using publicly available data for Erie and Niagara counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital elevation...
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Publicly available geospatial data were identified, collated, and analyzed for a region of karst terrain extending from Albany to Buffalo, New York. A series of geospatial datasets were assembled to determine the location and extent of karstic rock; bedrock geology and depth to bedrock; average water-table configuration; surficial geology; soil type, thickness, and hydraulic conductivity; land cover; and closed depressions in the land surface First release: 2021 Revised: July 2022 (ver. 2.0) Revised: October 2022 (ver. 3.0) Revised: January 2024 (ver. 4.0)
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Problem - The purpose of this project is to create a watershed GIS (Geographic Information System) to support the comprehensive cleanup and restoration of Onondaga Lake that is underway. A GIS is a computer system capable of capturing, storing, analyzing, and displaying geographically referenced information; that is, data identified according to location. Given the broad scope of the Onondaga Lake Partnership's (OLP) mission, a GIS is a powerful tool that can organize, store, and share information pertinent to the management of the natural resources of the Onondaga Lake watershed. The OLP GIS will be used for land use planning, resource management, scientific monitoring, and data presentation. The project has...
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Background: A sequence of gently dipping carbonate bedrock - the Bertie Formation, Akron Dolostone, and Onondaga Limestone crop out along a 2- to5-mile wide band in western and central New York. These bedrock units trend east-west for 250 miles across the State and form extensive carbonate-bedrock aquifers which transmit and yield water from solution-enlarged fractures, bedding planes, and other openings (Olcott, 1995). Bedding planes or sub-horizontal fractures typically are the most enlarged and important water conduits. Karstic features such as sinkholes, swallets, solution channels, and caverns can locally transmit large amounts of surface water into the ground where the groundwater can move quickly and over...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Aquifer Mapping, Aquifer Mapping, Aquifer Mapping, Basin & Hydrogeologic Characterization, Basin & Hydrogeologic Characterization, All tags...
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Problem - The major hydrogeologic units of Long Island, New York, have been delineated as part of the islandwide mapping effort of Smolensky, Buxton, and Shernoff that was published in 1989 as U.S. Geological Survey (USGS) Hydrologic Atlas (HA) 709. Concern about local details in the hydrogeologic framework that may not be represented in HA-709 has led the USGS, in cooperation with the U.S. Environmental Protection Agency (EPA), to assess the hydrogeology of the Long Island area so ground-water-flow modeling planned by EPA can more fully reflect local hydrogeologic conditions. Objectives - The primary objective of this project is to construct geographic information system (GIS) datasets of the altitudes of the...
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Problem The discharge of freshwater and associated loading of nutrients and other dissolved constituents from the Long Island aquifer system to surrounding estuaries and their tributaries are increasingly recognized as critical factors in the health of these ecosystems. However, further work is needed to scientifically characterize these factors and present them to the public in an appropriate manner. Many organizations have undertaken assessments of this discharge and loading for discrete groundwater source areas and (or) receiving surface waters, applying a variety of techniques and assumptions. In part, this is because there is no delineation of recharge areas to the island’s groundwater-fed streams and estuaries...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Basin & Hydrogeologic Characterization, Basin & Hydrogeologic Characterization, Climate Change, Climate Research and Development, ClimateChange, All tags...
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Using publicly available data for Livingston and Monroe counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital...
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Using publicly available data for Madison and Oneida counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital elevation...
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Using publicly available data for Ontario and Wayne counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital elevation...
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Using publicly available data for Schoharie and Montgomery counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital...
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Summary: Extreme flooding can threaten life and property in flood-prone areas, as well as cause damage to critical infrastructure along roadways and canals. The effective management of these areas, and appropriate design of structures along rivers and streams, relies on understanding the magnitude and frequency of floods at gaged locations, and the ability to estimate these data at ungaged streams. Peak flow analysis and development of regional regression equations to estimate peak flow frequency and magnitude for New York have not been updated using any new data collected since 1999 (Lumia, 2006). As more data and newer technology have become available there is a need to update these data. The updated regression...
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Problem - Since the 1980s, the U.S. Geological Survey (USGS) has mapped over 30 sand and gravel aquifers in upstate New York at the 1:24,000-scale. These mapped aquifers include both the primary and many of the principal aquifers as designated by the New York State Department of Environmental Conservation. Although the 1:24,000-scale maps are valuable in their present form, their usefulness is limited because the important features on the maps, namely aquifer boundaries and the surficial geology, are not available as digital geographic information system (GIS) datasets. Objectives - To maximize the usefulness of the aquifer maps, GIS datasets of the 1:24,000-scale aquifer maps will be developed. To further increase...
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Using publicly available data for Seneca and Wayne counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital elevation...
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Using a combination of public and proprietary historical construction test borings, recent exploration drilling, USGS observation wells, outcrops, and seismic measurements, a series of geospatial overlays for bedrock elevation and overburden thickness were created for the Five Boroughs of New York City, New York. Rasters were interpolated from a point elevation data set and refined using published and interpretive bedrock contours, and interpreted glacial valleys and faults. Contours for bedrock elevation were generated at 100-ft contour intervals and smoothed. This data release includes shapefiles containing the input point elevation features and output contours, and rasters of interpolated bedrock elevation and...
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Problem - The New York State Departments of Environmental Conservation (NYSDEC) and Health (NYSDOH) are concerned about Problem - The New York State Departments of Environmental Conservation (NYSDEC) and Health (NYSDOH) are concerned about ground-water contamination in the carbonate-bedrock aquifers, especially relating to the inadvertent introduction of volatile organic compounds (VOCs) and manure to these aquifers. Groundwater can flow very quickly with minimal filtration or adsorption through solution-widened fractures in carbonate-bedrock aquifers. Therefore, large amounts of water and associated contaminants can move long distances, sometimes in short periods of time, and affect large areas. If these underground...
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Note: this data release is currently being revised and is temporarily unavailable. Publicly available geospatial data were identified, collated, and analyzed for a region of karst terrain extending from Albany to Buffalo, New York. A series of geospatial datasets were assembled to determine the location and extent of karstic rock; bedrock geology and depth to bedrock; average water-table configuration; surficial geology; soil type, thickness, and hydraulic conductivity; land cover; and closed depressions in the land surface First release: 2021 Revised: July 2022 (ver. 2.0) Revised: October 2022 (ver. 3.0) .
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Using publicly available data for Genesee and Orleans counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital elevation...
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Problem - Geomorphologic techniques for stream channel and bank restoration are fast becoming the techniques of choice among federal, state, county, and local agencies to reduce suspended sediment loads, reduce flood damage, improve aquatic habitat, and generally stabilize stream channels. One reason for this upswing in use is that appropriate application of these techniques has been shown to reduce the need for repetitive visits to a reach to remove sediments or repair stream banks, and thus reduce long-term channel maintenance expenses. Geomorphologic restoration projects require data that define what a stable stream channel should look like in a given region. Regional hydrologic curves and regional channel-geomorphologic...
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Using publicly available data for Herkimer and Otsego counties, New York, a series of geospatial overlays were created at 1:24,000 scale to examine the bedrock geology, groundwater table, soils, and surficial geology. Bedrock and surficial geology were refined using extant bedrock maps, well and borehole data from water- and gas-wells, soil data, and lidar data. Groundwater data were collected from New York State Department of Environmental Conservation and U.S. Geological Survey water-well databases to estimate the groundwater table. Soil data were used to examine soil thickness over bedrock and infiltration. An inventory of closed depressions was created using reconditioned lidar-derived bare-earth digital elevation...


map background search result map search result map Regionalization of Channel Geomorphology Characteristics for Streams of New York State, Excluding Long Island Onondaga Lake Watershed Geographic Information System Nassau Hydrogeologic Maps Hydrogeologic Recharge Settings of the Carbonate-Bedrock Aquifer in Genesee County, Western New York Development of GIS datasets for selected aquifers in New York Hydrogeologic Recharge Settings of the Carbonate-Bedrock Aquifers in Livingston and Monroe Counties, Western New York Comprehensive Delineation of Groundwater Source Areas and Times-of-travel to Long Island Streams and Estuaries Geospatial Data to Assess Karst Aquifer Systems Between Albany and Buffalo, New York (ver. 4.0, January 2024) Geospatial datasets to assess karst aquifer systems in Albany and Schenectady counties, New York Geospatial datasets to assess karst aquifer systems in Livingston and Monroe counties, New York Geospatial datasets to assess karst aquifer systems in Herkimer and Otsego counties, New York Geospatial datasets to assess karst aquifer systems in Schoharie and Montgomery Counties, New York Methods for Estimation Flood Magnitude and Frequency at Ungaged Streams in New York, excluding Long Island Geospatial Data for Bedrock Elevation and Overburden Thickness Maps of the Five Boroughs, New York City, New York Geospatial datasets to assess karst aquifer systems in Madison and Oneida counties, New York Geospatial datasets to assess karst aquifer systems in Seneca and Wayne counties, New York Geospatial datasets to assess karst aquifer systems in Ontario and Wayne counties, New York Geospatial datasets to assess karst aquifer systems in Genesee and Orleans counties, New York Geospatial datasets to assess karst aquifer systems in Erie and Niagara counties, New York Geospatial data to assess karst aquifer systems between Albany and Buffalo, New York (ver. 3.0, October 2022) (Under Revision) Nassau Hydrogeologic Maps Geospatial datasets to assess karst aquifer systems in Seneca and Wayne counties, New York Onondaga Lake Watershed Geographic Information System Hydrogeologic Recharge Settings of the Carbonate-Bedrock Aquifer in Genesee County, Western New York Geospatial datasets to assess karst aquifer systems in Schoharie and Montgomery Counties, New York Geospatial datasets to assess karst aquifer systems in Livingston and Monroe counties, New York Geospatial datasets to assess karst aquifer systems in Herkimer and Otsego counties, New York Geospatial datasets to assess karst aquifer systems in Albany and Schenectady counties, New York Geospatial datasets to assess karst aquifer systems in Genesee and Orleans counties, New York Hydrogeologic Recharge Settings of the Carbonate-Bedrock Aquifers in Livingston and Monroe Counties, Western New York Geospatial datasets to assess karst aquifer systems in Ontario and Wayne counties, New York Geospatial datasets to assess karst aquifer systems in Erie and Niagara counties, New York Geospatial datasets to assess karst aquifer systems in Madison and Oneida counties, New York Geospatial Data for Bedrock Elevation and Overburden Thickness Maps of the Five Boroughs, New York City, New York Comprehensive Delineation of Groundwater Source Areas and Times-of-travel to Long Island Streams and Estuaries Geospatial Data to Assess Karst Aquifer Systems Between Albany and Buffalo, New York (ver. 4.0, January 2024) Geospatial data to assess karst aquifer systems between Albany and Buffalo, New York (ver. 3.0, October 2022) (Under Revision) Development of GIS datasets for selected aquifers in New York Regionalization of Channel Geomorphology Characteristics for Streams of New York State, Excluding Long Island Methods for Estimation Flood Magnitude and Frequency at Ungaged Streams in New York, excluding Long Island