Filters: Tags: {"type":"Place","name":"pennsylvania"} (X) > Categories: Data (X) > partyWithName: U.S. Geological Survey (X) > partyWithName: Water Resources (X)
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The Stream Conditions of Chester County Biological Monitoring Network was established by the U.S. Geological Survey and the Chester County Water Resources Authority in 1969. Benthic-macroinvertebrate, habitat, and stream chemistry data were collected annually from 1998-2021 at 18 fixed location sites. Additionally, nine flexible location sites were selected and sampled annually from 1998-2021. Some of the flexible location sites were sampled more than once over the study period. All data were collected in the fall months (October-November) during baseflow conditions. The benthic-macroinvertebrate data collected was used to calculate six metrics and to establish an index of biotic integrity for each sample, while...
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,
Site-specific multiple linear regression models were developed for one beach in Ohio (three discrete sampling sites) and one beach in Pennsylvania to estimate concentrations of Escherichia coli (E. coli) or the probability of exceeding the bathing-water standard for E. coli in recreational waters used by the public. Traditional culture-based methods are commonly used to estimate concentrations of fecal indicator bacteria, such as E. coli; however, results are obtained 18 to 24 hours post sampling and do not accurately reflect current water-quality conditions. Beach-specific mathematical models use environmental and water-quality variables that are easily and quickly measured as surrogates to estimate concentrations...
Concentrations of inorganic constituents, dissolved organic carbon (DOC), tritium, per- and polyfluoroalkyl substances (PFAS), volatile organic compounds (VOCs), and pharmaceuticals were measured in groundwater samples collected from 254 wells in 2019 and 2020. Concentrations of inorganic constituents, DOC, VOCs, and pharmaceuticals were measured at the U.S. Geological Survey (USGS) National Water Quality Laboratory in Lakewood, Colorado. Concentrations of tritium were measured at the USGS Tritium Laboratory in Menlo Park, California. Concentrations of PFAS were measured at SGS Laboratory in Orlando, Florida. In addition, several geospatial parameters were determined, including: percentages of selected land uses...
This dataset contains four tables: (1) site, regression and weighted peak flow estimates (peak_flow_estimates.csv) (2) site, regression and weighted low flow estimates (low_flow_estimates.csv) (3) basin characteristics for peak flow sites (peak_basin_stats.csv) (4) basin characteristics for low flow sites (low_basin_stats.csv). These tables support the USGS report "Magnitude and Frequency of Peak Flows and Low Flows on Nontidal Streams in Delaware."
Categories: Data;
Tags: Delaware,
Maryland,
New Jersey,
Pennsylvania,
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...
Freshwater salinization is an emerging issue for freshwater environments in the Chesapeake Bay, USA region. Salinization is often described by measurements of specific conductance (SC). This data release contains specific conductance observations collected by multiple regional agencies for streams within the Chesapeake Bay Watershed. This inventory compiles and harmonizes data from the Water Quality Portal (WQP), which is a data repository developed by the National Water Quality Monitoring Council and supported by the U.S. Environmental Protection Agency and U.S. Geological Survey, and the U.S. Geological Survey National Water Information System (NWIS). Both discrete measures of SC, which are single measures taken...
Categories: Data;
Tags: Chesapeake Bay watershed,
Delaware,
District of Columbia,
Hydrology,
Maryland,
This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.
Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found through cross validation on lakes with in-situ surface temperature observations was 1.24 °C. The generated dataset will be beneficial for a wide range of applications including estimations of thermal habitats and the impacts of climate change on inland lakes.
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2018 Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). A recently published extension of WRTDS allows users to separate these estimates into high- and low-flow conditions. This data release contains (1) a table of daily high- and low-flow concentration and load estimates for NTN stations between 1985 - 2018 and (2) an R file that contains...
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay Watershed,
Delaware,
Maryland,
New York,
Pennsylvania,
Measures used to assess trends in the 10th, 50th, and 90th quantiles of annual peak streamflow from 1916-2015 at 2,683 U.S. Geological Survey stations and within 191 4-digit HUCs in the conterminous United States. Linear quantile regression was applied to the selected quantiles of log-transformed annual peak streamflow to represent trends for a range of flood frequencies from small, common floods to large, infrequent floods. Comparative trends in pairs of quantiles were characterized as coherent, convergent, or divergent by comparing the slopes of linear quantile regression equations.
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2018. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. To determine the trend in loads, the annual load results are flow normalized to integrate out the year-to-year variability in river discharge....
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay Watershed,
Delaware,
Maryland,
New York,
Pennsylvania,
The U.S. Geological Survey (USGS) conducted aquifer interval isolation (packer) tests of discrete water-bearing zones using straddle packers in 13 wells in Northampton, Warminster, and Warwick Townships and Ivyland Borough, Bucks County, Pennsylvania during 2018-19 to support detailed groundwater investigations at and near the former Naval Air Warfare Center (NAWC) Warminster, where groundwater contamination with per- and polyfluoroalkyl substances (PFAS) had become a concern since 2014. The area is underlain by the Triassic-age Stockton Formation, which forms a fractured-sedimentary-rock aquifer used for private, industrial, and public drinking-water supply. The packer tests were conducted in 7 former production...
Categories: Data,
Data Release - Revised;
Tags: Bucks County,
Hydrogeology,
Hydrology,
Naval Air Warfare Center,
Pennsylvania,
This dataset contains quality-assurance and quality-control data (QA/QC) not publicly available in the online National Water Information System (NWIS) for the Pennsylvania Groundwater Monitoring Network collected by the U.S. Geological Survey (USGS) in Pennsylvania, 2015-2019. The quality-control data (such as blanks and replicates) were collected at a subset of sites to ensure that the data meets specific data-quality objectives of this program. Also included in this data release are the supplemental tables for the accompanying USGS publication “Characterization of Ambient Groundwater Quality within a State-wide, Fixed Station Monitoring Network in Pennsylvania, 2015-2019.” The supplemental tables consist of: 1)...
Categories: Data;
Tags: Adams County,
Bradford County,
Carbon County,
Centre County,
Chester County,
This dataset contains the lithologic class and topographic position index information and quality-assurance and quality-control data not available in the online National Water Information System for 72 domestic wells sampled by the U.S. Geological Survey in Bradford County, Pennsylvania, May-August 2016. The topographic position index (TPI) for each well location was computed on the basis of a 25-meter digital elevation model (U.S. Geological Survey, 2009) using criteria reported by Llewellyn (2014) to indicate potential classes for topographic setting. The bedrock geologic unit and primary lithology were determined for each well location on the basis of the digital bedrock geologic map of Pennsylvania (Miles and...
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2020. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. The file containing annual loads for all applicable NTN monitoring stations is provided in the "Attached Files" section. First posted: July...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay Watershed,
Delaware,
Kalman filtering,
Maryland,
New York,
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in major rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay River Input Monitoring (RIM) Network stations for the period 1985 through 2021. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the RIM watersheds.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay Watershed,
Delaware,
Kalman filtering,
Maryland,
New York,
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Connecticut,
Geochemistry,
Hydrology,
Idaho,
Illinois,
This data release includes data-processing scripts, data products, and associated metadata for a study to model the hydrology of several hundred vernal pools (i.e., seasonal pools or ephemeral wetlands) across the northeastern United States. More information on this study is available from the project website. This data release consists of several components: (1) an input dataset and associated metadata document ("pool_inundation_observations_and_climate_and_landscape_data"); (2) an annotated R script which processes the input dataset, performs inundation modeling, and generates model predictions ("annotated_R_script_for_pool_inundation_modeling.R"); and (3) a model prediction dataset and associated metadata document...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hydrology,
Maine,
Maryland,
Massachusetts,
New Hampshire,
The movement of mercury (Hg) from the atmosphere to the biosphere occurs by both wet and dry deposition to solid surfaces, water, and vegetation. Most of the annual dry atmospheric Hg deposition in deciduous forests is believed to originate from litterfall which consists mainly of dead leaves that fall to the earth’s surface, primarily during the autumn and winter seasons. Atmospheric Hg reaches an annual maximum concentration in leaves at the time of leaf fall. Analysis of litterfall samples helps to quantify total annual atmospheric Hg deposition to forests when combined with precipitation Hg data. This data set is derived from litterfall samples collected during 2017-18 and 2018-19 at 27 selected National Atmospheric...
Categories: Data;
Tags: Ambient Monitoring,
Ecology,
Ecosystem Health,
Ecosystem Health,
Environmental Health,
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