Filters: partyWithName: U.S. Geological Survey (X) > partyWithName: Water Resources (X)
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As part of a larger groundwater research study conducted at the U.S. Army Fort Irwin National Training Center (NTC), located approximately 35 miles north-northeast of Barstow, California, the U.S. Environmental Protection Agency (EPA), the U.S. Army, and the U.S. Geological Survey (USGS) have cooperated to evaluate unsaturated zone soil property data of cores from the borehole for a newly drilled monitoring well (ESW2B). Specific horizons of interest were identified and selected for detailed grain-size distribution analysis using the Fritsch Analysette A28 Image Sizer (particle analyzer) located at the USGS California Water Science Center (CAWSC) in San Diego, CA. The particle analyzer identified circularity and...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Fort Irwin,
Mojave,
San Bernardino,
environment,
geoscientificInformation,
The U.S. Geological Survey (USGS), in cooperation with the California State Water Resources Control Board (SWRCB), compiled Fall 2017 fluid level elevation data from idle oil and gas wells in the Oxnard Oil Field to estimate vertical hydraulic head difference between oil production and overlying groundwater aquifer zones. Fluid elevations came from two sources, measurements in idle oil and gas wells and groundwater elevations in water wells in the overlying aquifer estimated at the points of idle well measurements using geographic information system (GIS) procedures. The fluid elevations from idle oil and gas wells were compiled by the California Geologic Energy Management Division (CalGEM) as part of their Idle...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Energy Resources,
Hydrology,
Oxnard,
USGS Science Data Catalog (SDC),
This data release is currently being revised and is temporarily unavailable. Please contact rhkent@usgs.gov with any immediate requests. The U.S. Geological Survey Groundwater Ambient Monitoring and Assessment-Priority Basin Project (USGS GAMA-PBP) collected samples to be analyzed for per-and polyfluoroalkyl substances (PFAS) from domestic and public supply wells from May 2019 to September 2020. The datasets presented here include identification of the 28 PFAS constituents monitored by the project, Identification and brief characterization of the 211 GAMA-PBP wells for which samples were analyzed for PFAS during the study period, and analytical results for those groundwater samples, along with results for quality...
Categories: Data;
Tags: California,
Colusa County,
Environmental Health,
Geochemistry,
Humboldt County,
Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Hookton Slough near Loleta, CA water quality station (USGS site ID# 404038124131801). A continuous 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at https://waterdata.usgs.gov/ca/nwis/uv?site_no=404038124131801. The SSC record was used to assess ambient SSC conditions, the availability of suspended sediment to support surface deposition and elevation gain in adjacent salt marshes, and to characterize salt marsh resiliency to climate change impacts in Humboldt Bay, CA.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Hookton Slough,
Humboldt Bay,
U.S. Geological Survey,
USGS,
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the tile-drain network in individual fields with the goal of understanding already observed patterns in runoff amount and water quality from these sites. A 3DR Solo quadcopter served as the flight vehicle, flights were pre-planned using Mission Planner, and flights were flown using Tower. Geospatial data were originally in WGS84...
Categories: Data;
Tags: Great Lakes,
Hancock County,
Ohio,
USGS Science Data Catalog (SDC),
Water Resources,
In cooperation with the New York City Department of Environmental Protection (NYC DEP), the U.S. Geological Survey (USGS) collected water and bed sediment samples along Alley Creek (Queens, New York) to help determine likely sources of fecal bacteria to the creek and Little Neck Bay. Potential terrestrial sources include stormwater, sewage via combined sewer overflow (CSO) and compromised infrastructure, bed-sediment resuspension, and groundwater discharge. Host sources that were targeted using microbial source tracking (MST) techniques included human, canine, waterfowl, and general Bacteroides. Routine water samples were collected and analyzed for the fecal indicator bacteria enterococci and fecal coliform, along...
Categories: Data;
Tags: Alley Creek,
Contaminants, Microbial,
Ecological Assessment of Human and Natural Impacts,
Hydrology,
New York,
The U.S. Geological Survey in cooperation with the New York State Department of Environmental Conservation, the Tug Hill Commission, the Jefferson County Soil and Water Conservation District, the Oswego County Soil and Water Conservation District, and the Tug Hill Land Trust studied the northern and central parts of the Tug Hill glacial aquifer to help communities make sound decisions about the groundwater resource. This child item dataset contains locations of water level contours for the northern and central parts of the Tug Hill aquifer.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquifer,
Aquifer Mapping,
Groundwater,
Hydrogeologic Characterization,
Jefferson County,
From 2008 to 2012, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, Walla Walla District, developed an acoustic backscatter surrogate (model 1.0) for estimating real-time suspended-sediment concentration and loads at Clearwater River at Spalding, ID (USGS ID: 13342500) using a horizontally-mounted 3000kHz acoustic Doppler velocity meter (ADVM). This study is a continuation of the 2008 to 2012 acoustic backscatter surrogate study using samples collected since 2015 to validate the continued use of model 1.0. Sample data collected in 2015 to 2018 show a deviation from model 1.0 when backscatter data from the ADVM, after correction for acoustic losses, is greater than 65.7 decibels....
A three-dimensional hydrogeologic framework model (3D HFM) of the westernmost western Snake River Plain (WSRP) aquifer system was prepared to represent the subsurface distribution and thickness of four hydrogeologic units. The primary source of data for the 3D HFM was lithologic data from a total of 291 well-driller reports. These data were then processed using Rockware Rockworks17 three-dimensional modeling software. This dataset consists of five comma-delineated CSV files containing well information: location, lithology, well construction, aquifer, and comments. It is one of three related datasets.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ada County,
Boise,
Canyon County,
Elmore County,
Gem County,
This U.S. Geological Survey (USGS) data release contains the data used in the USGS Scientific Investigations Report 2018-5053 entitled "An exploratory Bayesian network for estimating the magnitudes and uncertainties of selected water-quality parameters at streamgage 03374100 White River at Hazleton, Indiana, from partially observed data." The four datasets, which contain only ASCII characters in a column-oriented format, are: (1) sel_qw_parm_full_time_series.csv: A comma-delimited file containing an irregular time series of 713 rows of discrete water-quality measurements that start on February 21, 1973 and end on September 14, 2016. (2) baye_network_initialize.cas: This tab-delimited file can be used to initialize...
A three-dimensional groundwater flow model, MODFLOW-OWHM, was developed to provide a better understanding of the hydrogeology of the Lucerne Valley Groundwater Basin, California. The model was used to investigate the historical groundwater storage loss and subsidence associated with anthropogenic groundwater demands. The model was calibrated to 1942 through 2016 conditions. This USGS data release contains all of the input and output files for the simulation described in the associated model documentation report https://doi.org/10.3133/sir20225048
Three regression models were developed for describing variability of host-specific flux data in eight Great Lakes tributaries. Models include one for Lachnospiraceae flux, one for human bacteroides flux, and one for ruminant bacteroides flux. Models were developed using the R project for statistical computing with core functionality and the survival, smwrBase, and smwrQW packages. Predictor variables for these models are included in the data file and input files provided. These include sampling dates and times, rainfall depth, percent of watershed underlain by tile drainage, cattle population (for the ruminant marker model) and human population (for the human marker models). Sample collection and laboratory analyses...
Categories: Data;
Tags: Bacteria,
Great Lakes Region,
Regression analysis,
Surface water quality,
USGS Science Data Catalog (SDC)
This dataset describes the quantity, morphology, concentration and polymer identity of microplastics in surficial benthic sediment of Lake Michigan and Lake Erie. Lake Michigan sediment samples were collected at 20 locations in September, 2013 and Lake Erie sediment samples were collected at 12 locations in September, 2014 while on-board the R.V. Lake Guardian. Sampling and analysis methods are described in the Processing Steps section of the metadata.
Categories: Data;
Tags: Environmental Health,
Lake Erie,
Lake Michigan,
Limnology,
USGS Science Data Catalog (SDC),
This data release contains input data used in model development and TIF raster files used to predict the probability of high arsenic (As) and high manganese (Mn) in groundwater within the glacial aquifer system in the northern United States. Input data include measured As and Mn concentrations at groundwater wells, and associated predictor variable data. The probability of high As and high Mn was predicted using boosted regression tree methods using the gbm package in R version 4.0.0. The response variables for individual models were the occurrence of: (1) As >10 µg/L, and (2) Mn >300 µg/L. Water-quality data were compiled from three sources, as described in Wilson and others (2019): a compilation of data from numerous...
A series of simple linear regression models were developed for the U.S. Geological Survey (USGS) streamgage at Rice Creek below Highway 8 in Mounds View, Minnesota (USGS station number 05288580). The simple linear regression models were calibrated using streamflow data to estimate suspended-sediment (total, fines, and sands) and bedload. Data were collected during water years 2010, 2011, 2014, 2018, and 2019. The estimates from the simple linear regressions were used to calculate loads for water years 2010 through 2019. The calibrated simple linear regression models were used to improve understanding of sediment transport processes and increase accuracy of estimating sediment and loads for Rice Creek. Two multidimensional...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geomorphology,
Hydrology,
Minnesota,
Rice Creek,
Sedimentology,
Fish tissue from 203 samples collected at five locations in the Niagara River Area of Concern in 2018 were analyzed for a wide range of analytes including Polychlorinated Biphenyls (PCBs), pesticides (E1 and E2), polycyclic aromatic hydrocarbons (PAH), organochlorine and other persistent organic compounds, metals, lipid and moisture. Over 230 analytes were analyzed in the tissue samples, including 160 PCB congeners. Fish tissues from a subset of the sites (n=40) were also analyzed for Dioxins and Furans. The data set includes a variety of laboratory quality assurance data including sample replicates, laboratory blank data, laboratory spike data, matrix spike recoveries, and replicate matrix spike recoveries.
Categories: Data;
Tags: Aquatic Biology,
Aquatic Community Health,
Contaminants, Organic,
Contamination and pollution,
Dioxins,
This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii for a projected climate condition representative of phase 3 of the Coupled Model Intercomparison Project (CMIP3) A1B 2080-99 scenario climate and 2017 land cover, as described in USGS SIR 2019-5064. The water-budget components for each model subarea were computed for the future climate condition using a water-budget model developed by Johnson and others (2018). The 2017 land-cover map developed by Mair (2018) was used to define the land-cover conditions and the model subareas. The shapefile attribute information associated with each subarea (or polygon) present an estimate of mean...
These shapefiles represent the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii for a set of eight future climate and land-cover scenarios. The future climate conditions used in the water-budget analyses were derived from two end-of-century downscaled climate projections including (1) a projected future climate condition representative of phase 3 of the Coupled Model Intercomparison Project (CMIP3) A1B 2080-99 scenario climate described in Zhang and others (2016a, 2016b) and (2) a projected future climate condition representative of phase 5 of the Coupled Model Intercomparison Project (CMIP5) Representative Concentration Pathway 8.5 (RCP8.5) 2080-99 scenario...
This data release provides preliminary estimates of annual agricultural use of pesticide compounds in counties of the conterminous United States, for the year 2019, compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). For all States except California, U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District-level pesticide-use data to estimate county-level pesticide use. Where Crop Reporting District data were not available or were incomplete, estimated pesticide-use values were calculated with two different methods, resulting in a low and a high estimate based on different assumptions about...
From April through September of 2018, water-quality data were collected at 35 locations from select tributaries, embayments, and nearshore lake locations along New York's portion of Lake Ontario in support of the 2018 Cooperative Science and Monitoring Initiative, the Great Lakes Restoration Initiative, and the Lakewide Action Management Plan. These data include environmental, replicate, and blank samples of nutrients, suspended solids, sodium, and chloride, as well as field measurements of physical parameters (temperature, specific conductance, dissolved oxygen, pH, turbidity, phycocyanin relative fluorescence, chlorophyll relative fluorescence, photosynthetically active radiation, and phycocyanin:cholorphyll...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cayuga County,
Hydrology,
Jefferson County,
Lake Ontario,
Monroe County,
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