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A digital representation of closed depression features overlying and adjacent to New York’s carbonate-bedrock aquifers. Includes closed depressions that are both natural and anthropogenic in origin. The features were derived from a digital contour database obtained from https://topotools.cr.usgs.gov/contour_data.php. The original contour dataset was generated from the National Elevation Dataset (NED) and the National Hydrography Dataset (NHD) in a fully automated process. The process is described in U.S. Geological Survey Scientific Investigations Report 2012–5167.
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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...
This data release contains input data used in model development and TIF raster files used to predict the probability of low dissolved oxygen (DO) and high dissolved iron (Fe) in groundwater within the glacial aquifer system in the northern continental United States. Input data include measured DO and Fe concentrations at groundwater wells, and associated predictor variable data. The probability of low DO and high Fe was predicted using boosted regression tree methods using the gbm package in R (v. 4.0.0) in RStudio (v. 1.2.5042). The response variables for individual models were the occurrence of: (1) DO ≤0.5 mg/L, (2) DO ≤2 mg/L, and (3) Fe >100 µg/L. Water-quality data were compiled from three sources, as described...
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A boosted regression tree (BRT) model was developed to predict pH conditions in three-dimensions throughout the glacial aquifer system (GLAC) of the contiguous United States using pH measurements in samples from 18,258 wells and predictor variables that represent aspects of the hydrogeologic setting. Model results indicate that the carbonate content of soils and aquifer materials strongly controls pH and when coupled with long flow paths, results in the most alkaline conditions. Conversely, in areas where glacial sediments are thin and carbonate-poor, pH conditions remain acidic. At depths typical of drinking-water supplies, predicted pH > 7.5 – which is associated with arsenic mobilization – occurs more frequently...
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Residence time distribution (RTD) is a critically important characteristic of groundwater flow systems; however, it cannot be measured directly. RTD can be inferred from tracer data with analytical models (few parameters) or with numerical models (many parameters). The second approach permits more variation in system properties but is used less frequently than the first because large-scale numerical models can be resource intensive. With the data and computer codes in this data release users can (1) reconstruct and run 115 General Simulation Models (GSMs) of groundwater flow, (2) calculate groundwater age metrics at selected GSM cells, (3) train a boosted regression tree model using the provided data, (4) predict...
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Widespread nitrate contamination of groundwater in agricultural areas poses a major challenge to sustainable water resources. Efficient analysis of nitrate fluxes across large regions also remains difficult. This study introduces a method of characterizing nitrate transport processes continuously across regional unsaturated zones and groundwater based on surrogate, machine-learning metamodels of an N flux process-based model. The metamodels used boosted regression trees (BRTs) to relate mappable variables to parameters and outputs of a “vertical flux method” (VFM) applied in the Fox-Wolf-Peshtigo (FWP) area in Wisconsin. In this context, the metamodels are upscaling the VFM results throughout the region, and the...
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A digital representation of the study area boundary adopted for the GIS analyses. The boundary was created by intersecting an index of USGS 1:24,000-scale, 7.5-minute quadrangle maps with data containing selected bedrock geologic units from U.S. Geological Survey Data Series 1052. The final study area boundary covers more than 20,000 square miles, amounting to 38 percent of New York State and transecting 42 counties.
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The New York State Departments of Environmental Conservation and Health are concerned about groundwater contamination in the carbonate-bedrock aquifers with the potential to host karst features throughout New York State, especially relating to the unintended introduction of chemical or agricultural contamination into these aquifers. USGS Scientific Investigations Report, SIR 2020-5030 (Kappel and others, 2020), provides local and State regulators and the public the information needed to determine the extent of carbonate bedrock in New York, the associated environmental impacts of karst, and the means to protect New York’s karst water resources. The four geodatabases presented in this data release were compiled...
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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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This data release contains the results of an isotopic mass balance approach to provide an estimate of the long-term average isotope ratios of NWM streamflow for the summer season (JJA) between 2000 and 2019 in the Western United States. The NWM-estimated long-term average isotope ratios are compared directly to 6426 stream stable isotope observations in 995 unique catchments. Quantified similarities and differences, in the form of p-values, provide useful information about important hydrologic processes. Significant p-values mean that the observed isotope ratio differs from the long-term average mass balance calculated isotope ratios and indicates that flows may be influenced by processes that are not accounted...
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A digital representation of closed depression features overlying and adjacent to New York’s carbonate-bedrock aquifers. Includes closed depressions that are both natural and anthropogenic in origin. The features were derived from Digital Raster Graphic (DRG) images of scanned U.S. Geological Survey 1:24,000-scale topographic maps. A DRG is a scanned image of a U.S. Geological Survey topographic map that can be added as a background layer in a GIS. The closed depressions inventoried using DRGs represent features that were not included in the Digital Contour Database. The features were inventoried as points.
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A digital representation of closed depression features overlying and adjacent to New York’s carbonate-bedrock aquifers. Includes closed depressions that are both natural and anthropogenic in origin. The closed depressions were generated from 1-meter and 2-meter resolution LiDAR-derived bare-earth DEMs obtained from the New York State Office of Information Technology Services. At the time of analysis (2017) LiDAR data existed for approximately 65 percent of the study area. The DEMs were processed to identify depressions with an area of at least 4,047 square meters (1-acre) and a depth of at least 1-meter. The closed depressions inventoried using the LiDAR-derived DEMs represent features that were not identified...
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A three-dimensional extreme gradient boosting (XGB) machine learning model was developed to predict the distribution of nitrate in groundwater across the conterminous United States (CONUS). Nitrate was predicted at a 1-square-kilometer (km) resolution for two drinking water zones, each of variable depth, one for domestic supply and one for public supply. The model used measured nitrate concentrations from 12,082 wells, and included predictor variables representing well characteristics, hydrologic conditions, soil type, geology, land use, climate, and nitrogen inputs. Predictor variables derived from empirical or numerical process-based models were also included to integrate information on controlling processes and...
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Problem - The interaction between ground water and surface water within the Meads Creek watershed is not well understood, and the need for understanding the interaction has increased in recent years because of widespread concerns related to water supply, ground- and surface-water contamination, loss of wetlands due to development; and other changes in the watershed. In addition, flooding in the southern part of the watershed (mostly in Steuben County), where most development in the watershed has taken place, has highlighted the need for information about the drainage characteristics in the basin including the role of ground-water and surface-water interactions. Objectives - The objectives are (1) characterize...
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Background: The New York State Departments of Environmental Conservation (NYS DEC) and Health (NYS DOH) are concerned about groundwater contamination in the carbonate-bedrock aquifers in New York, especially relating to the unintended introduction of volatile organic compounds (VOCs) and liquid manure to these aquifers. These carbonate rocks form extensive aquifers that transmit, and can yield, water from solution-enlarged fractures, bedding planes, and other openings (Olcott, 1995). Groundwater contamination from liquid manure application (fecal coliform bacteria [E. coli] and nitrate) has been on the increase over the past decade as these incidents have been reported to the NYS DEC. Nitrate is highly water-soluble...


    map background search result map search result map Hydrogeology and Surface/Groundwater Interactions in the Meads Creek Valley, Schuyler and Steuben Counties, New York Hydrogeologic Recharge Settings of the Carbonate-Bedrock Aquifer in Genesee County, Western New York Hydrogeologic Recharge Settings of the Carbonate-Bedrock Aquifers in Livingston and Monroe Counties, Western New York Statewide Assessment of New York’s Karst Aquifers With an Inventory of Closed-Depression and Focused-Recharge Features Data Release for Metamodeling and Mapping of Nitrate Flux in the Unsaturated Zone and Groundwater, Wisconsin, USA Data for statewide assessment of New York's karst aquifers with an inventory of closed-depression and focused-recharge features Digital Contour Database of Closed Depressions Digital Raster Graphic Database of Closed Depressions LiDAR Database of Closed Depressions Study area boundary Groundwater data, predictor variables, and rasters used for predicting redox conditions in the glacial aquifer, northern continental United States Data for three-dimensional distribution of groundwater residence time metrics in the glaciated United States using metamodels trained on general numerical simulation models Data for machine learning predictions of pH in the glacial aquifer system, northern USA Data for Machine Learning Predictions of Nitrate in Groundwater Used for Drinking Supply in the Conterminous United States Hydrogen and oxygen stable isotope mass balance evaluation of the National Water Model (v2.1) streamflow, runoff and groundwater flows Hydrogeology and Surface/Groundwater Interactions in the Meads Creek Valley, Schuyler and Steuben Counties, New York Hydrogeologic Recharge Settings of the Carbonate-Bedrock Aquifer in Genesee County, Western New York Hydrogeologic Recharge Settings of the Carbonate-Bedrock Aquifers in Livingston and Monroe Counties, Western New York Data Release for Metamodeling and Mapping of Nitrate Flux in the Unsaturated Zone and Groundwater, Wisconsin, USA LiDAR Database of Closed Depressions Statewide Assessment of New York’s Karst Aquifers With an Inventory of Closed-Depression and Focused-Recharge Features Data for statewide assessment of New York's karst aquifers with an inventory of closed-depression and focused-recharge features Digital Contour Database of Closed Depressions Digital Raster Graphic Database of Closed Depressions Study area boundary Hydrogen and oxygen stable isotope mass balance evaluation of the National Water Model (v2.1) streamflow, runoff and groundwater flows Data for machine learning predictions of pH in the glacial aquifer system, northern USA Data for three-dimensional distribution of groundwater residence time metrics in the glaciated United States using metamodels trained on general numerical simulation models Groundwater data, predictor variables, and rasters used for predicting redox conditions in the glacial aquifer, northern continental United States Data for Machine Learning Predictions of Nitrate in Groundwater Used for Drinking Supply in the Conterminous United States