Filters: Tags: groundwater quality (X) > partyWithName: Water Resources (X)
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These data sets present results from the analyses of groundwater samples collected from monitoring wells and monitoring intervals in bedrock wells in the mudstone aquifer underlying the former Naval Air Warfare Center (NAWC), West Trenton, NJ. The water samples were collected between 2008 and 2013 and were analyzed for field parameters, inorganic and organic constituents, and the abundances of selected microbes of importance to the evaluation of biological degradation of organic contaminants in groundwater. The collection and analyses of the groundwater samples coincides with conducting a bioaugmentation experiment in a targeted region of the mudstone aquifer. The purpose of the bioaugmentation was to introduce...
Groundwater residence times were simulated for the major regional aquifers of the Northern Atlantic Coastal Plain aquifer system from New York to North Carolina using particle tracking in a regional groundwater flow model. Millions of particles were distributed throughout the aquifers of the North Atlantic Coastal Plain in a MODFLOW model with a volume-weighted algorithm, then tracked backwards using MODPATH6 (Pollock, 2012) until termination of their paths at their sources of origin, usually the simulated water table. Particles were tracked under simulated transient hydrologic conditions from the reference time of January 1, 2018 backwards to 1900, then under simulated steady-state conditions prior to 1900 until...
Groundwater quality data for 472 domestic well-water samples were retrieved from the USGS National Water Information System (NWIS) database and combined with descriptive information on the sampled well locations. The NWIS data for a sample, collected on the selected date, were averaged into a single record (one per well), and rounded according to USGS protocols. For evaluation and reporting, the water-quality data were further combined with physical attributes and classified by lithology, topographic position, physiographic province, region, redox, and pH (as standalone matrix, one row per well). A second data matrix file incorporating minimum reporting levels for censored and low-reported values (set to 0.99X highest...
Categories: Data;
Tags: Bradford County,
Clinton County,
Geochemistry,
Groundwater Quality,
Hydrology,
Groundwater from the Mississippi River Valley alluvial aquifer (MRVA) is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be limited in some areas of the aquifer by high concentrations of trace elements, including manganese and arsenic. Boosted regression trees, a type of ensemble-tree machine-learning method, were used to predict manganese concentration and the probability of arsenic concentration exceeding a 10 µg/L threshold throughout the MRVA. Explanatory variables for the BRT models included attributes associated with well location and construction, surficial variables (such as hydrologic position and recharge), variables extracted from a MODFLOW-2005...
Groundwater age distributions and susceptibility to natural and anthropogenic contaminants were assessed for selected wells, streambed piezometers, and springs in southeastern Minnesota. The data provide information to understand how long it will take to observe groundwater quality improvements from best management practices implemented at land surface to reduce losses of nitrate (and other chemicals) from agricultural practices. Nineteen water samples were collected from ten wells, three streambed piezometers, and four springs between August 2020 and September 2022. Two of these samples are field replicate samples collected from a spring site and a well site. A child item contains historical data from 15 water...
This data release provides a comprehensive dataset of sampling-site characteristics and baseline groundwater-quality data collected from a network of multilevel sampling wells installed in a densely developed coastal neighborhood undergoing a conversion from onsite septic systems to municipal sewering. Groundwater samples were collected during multiple events from a total of 227 well screens at 15 locations using a peristaltic pump between June 2016 and September 2021. Samples were collected and preserved following methods documented in the U.S. Geological Survey National Field Manual (variously dated) and Savoie and others (2012). This dataset provides well construction information, groundwater levels, water-quality...
Categories: Data,
Data Release - Revised;
Tags: Falmouth,
Mara Vista,
Massachusetts,
USGS Science Data Catalog (SDC),
groundwater,
The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board collected produced water samples for analysis of volatile organic compounds (VOCs) in the eight California oil fields of Fruitvale, Lost Hills, North Belridge, Orcutt, Placerita, South Belridge, Midway-Sunset, and Buena Vista from 2016 to 2020. Sampled sites included oil wells; injectate from tanks, pipelines, and injection wells where produced water from many wells, after removal of oil, is stored or transported prior to underground injection; integrated produced water from many oil wells collected from pipelines before oil removal; and surface disposal ponds where produced water, after removal of oil, is disposed...
Groundwater quality data were collected in 5,000 wells between 1988-2001 by the National Water-Quality Assessment Project. About 1,500 of these wells were sampled again between 2002-2012 to evaluate decadal changes in groundwater quality. Monitoring wells, domestic supply wells, and some public supply wells were included in this study. All water was collected prior to treatment. Groundwater samples used to evaluate decadal change were collected from networks of wells with similar characteristics. Some networks, consisting of domestic or public supply wells, were used to assess changes in the quality of groundwater used for drinking water supply. Other networks, consisting of monitoring wells, assessed changes in...
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations—across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because it accommodates a large and diverse set of explanatory variables, does not assume monotonic relations between predictors and response data, and results can be extrapolated to areas of the aquifer not sampled. These aspects of ML allowed potential drivers and sources of high salinity water that have been hypothesized in other studies to...
Data provided here describe geochemical correction of carbon-14 in dissolved inorganic carbon (DIC) for groundwater age dating. Datasets include major ion chemistry of groundwater samples, model parameter inputs, and final corrected carbon-14 in DIC. Geochemical correction was completed in two phases: determination of reactive phase mole transfers through an inverse geochemical model (PHREEQC; Parkhurst and Appleo, 1992) and tracking of isotopic mass transfer among phases (NetpathXL; Parkhusrtand Charlton, 2008). Parkhurst, D.L., and Appelo, C.A.J., 2013, Description of input and examples for PHREEQC version 3—A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical...
Time series electromagnetic induction-log (TSEMIL) datasets are collected from polyvinyl chloride (PVC) cased or uncased monitoring wells to evaluate changes in water conductivity over time. TSEMIL datasets consist of a series of individual electromagnetic induction logs collected at a frequency of months or years that have been compiled into a dataset by eliminating small uniform offsets in bulk conductivity between logs likely caused by minor variations in calibration. At depths where water conductivity is not changing through time, each log is typically within about ±15 mS/m of the median of the dataset at any given depth, which is within the stated repeatability specifications of the probe (Mount Sopris Instrument...
State and local county health departments have detected per- and polyfluoroalkyl substances (PFAS) in groundwater downgradient of airports and military and firefighting training areas in Long Island, New York. However, the occurrence and spatial distribution of PFAS throughout the surficial aquifer is not well established. Shallow groundwater samples were collected in 2018 from two observation well networks; the Sentinel network and Wastewater Treatment Plant groundwater (WTPGW) network. The Sentinel network is an island-wide group of wells screened within the shallow upper glacial (surficial, <100 feet deep) aquifer, which were sampled to assess the occurrence of PFAS in different land-use settings. The WTPGW network...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Contaminants, Emerging,
Geochemistry,
Groundwater-Quality Monitoring,
Hydrology,
Long Island,
This release contains borehole geophysical electrical log data (elogs), total dissolved solids sample data (TDS), and geostatistical program files used to estimate the salinity distribution in groundwater above and in the vicinity of the Montebello Oil Field, located near Los Angeles, California, USA. Original data are drawn from a variety of publicly available sources and are combined here for use in geostatistical simulation and estimation. The extent of the estimation area is a 3-mile buffer zone surrounding the Montebello Oil Field administrative boundary, and the subsurface aquifer region lying above locally mapped oil-bearing units. The data compilation and analysis were done as part of the California State...
Data were collected at 19 groundwater monitoring wells and 3 surface water locations across McHenry County, Illinois, in 2020 by staff from the U.S. Geological Survey (USGS) Central Midwest Water Science Center. Quality control samples (2 blanks and 1 replicate) were also collected to assess data reliability and precision. Samples were submitted to the USGS National Water Quality Laboratory in Denver, Colorado, and analyzed for per- and polyfluoroalkyl (PFAS) substances in late 2022 and results provided in April of 2023. PFAS were detected in 16 of the 19 groundwater monitoring wells and in all 3 surface water sites sampled.
The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board collected produced water and gas samples in the Oxnard Oil Field in Ventura County in August 2018 and the Placerita Oil Field in Los Angeles County in December 2018. Sampled sites included oil wells; injectate from tanks, pipelines, and injection wells where produced water from many wells, after removal of oil, is stored or transported prior to underground injection; and integrated produced water from many oil wells collected from pipelines before oil removal. This digital dataset contains the site information, analyzing laboratories and methods, and water and gas chemistry and quality-control results for these...
Data provided here describe the contribution of up to 7 different water sources to the major ion geochemistry of U.S. Geological Survey (USGS) and California State Water Resources Control Board Division of Drinking Water (CA-DDW) groundwater samples within the Indio Subbasin of the Coachella Valley, California. The Inverse Geochemical Modeling was performed in the USGS's PHREEQC ver. 3 program and the results are discussed in the associated publication of Harkness and others (2023). Datasets include the major ion chemistry and model input parameters of 1593 samples included in the analysis, the median model results for each sample, and a data dictionary describing the tables. Analyses completed as part of this assessment...
This data release contains oil well annular cement and casing damage data from parts of the South Belridge and Lost Hills Oil Fields in western Kern County, California. The study area coincides with where groundwater with less than 10,000 milligrams per liter total dissolved solids and outside an exempt aquifer are located overlying oil-producing zones in these fields. In the study areas, hydraulic fracturing is occurring in mature oil fields where oil and gas development has occurred for approximately a century. The data were compiled from records of the California Department of Conservation, Geologic Energy Management Division (CalGEM). The data compiled include construction information for oil wells, drilling...
Categories: Data;
Tags: California,
Energy Resources,
Geochemistry,
Lost Hills oil field,
San Joaquin Valley,
Due to declining water levels and increasing salinity in the Salton Sea which may increase the hazards to wildlife, the U.S. Geological Survey and U.S. Bureau of Reclamation are re-evaluating selenium concentrations in the region. As part of this work, selenium concentrations in water and sediment samples and selected other inorganic constituents were compiled from published reports, public databases, and unpublished archives into a tabulated spreadsheet. This spreadsheet represents a rapid synthesis of available data on selenium concentrations in water and sediment in the region surrounding the Salton Sea, however it does not include all data ever published in the region. Additionally, the data compilation was...
Categories: Data;
Tags: California,
Salton Sea,
Soil Sciences,
USGS Science Data Catalog (SDC),
Water Quality,
This data release contains site information and potential explanatory factor data for 1,899 groundwater sites. These sites were used to assess groundwater quality in aquifers used for domestic and public drinking water supply in the southeastern San Joaquin Valley. The southeastern San Joaquin Valley (SESJV) study unit consists of five study areas whose boundaries are defined by the eponymous California Department of Water Resources groundwater subbasins of the San Joaquin Valley groundwater basin: Madera-Chowchilla, Kings, Kaweah, Tule, and Tulare Lake. The sites consist of 198 wells representing the domestic-supply aquifer and 1,701 wells representing the public-supply aquifer. The domestic-supply aquifer wells...
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations—across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because it accommodates a large and diverse set of explanatory variables, does not assume monotonic relations between predictors and response data, and results can be extrapolated to areas of the aquifer not sampled. These aspects of ML allowed potential drivers and sources of high salinity water that have been hypothesized in other studies to...
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