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The data release consists of two companion air and water temperature datasets collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) program with data from both the Little Lehigh and White Clay Creek Watersheds in the Delaware River Basin. Data consists of 15-minute temperature data during the 7/2021 – 12/2022 study period for 21 air and 49 water locations (which include 6 continuous monitoring USGS streamgages) in the Little Lehigh Creek watershed and 8/2021 – 1/2023 for 28 air and 36 surface water locations (including 6 continuous monitoring USGS streamgages) in the White Clay Creek watershed. Datalogger installation locations for surface water locations were targeted...
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This data release provides model inputs and outputs for a model that predicts redox conditions in groundwater in the contiguous United States. Input variables describe the hydrology, soils, geology, and hydrologic position of groundwater sample locations. The data release accompanies a journal article that describes model development and applications (Tesoriero_and_others_2023).
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Peak-flow frequency analysis is crucial in various water-resources management applications, including floodplain management and critical structure design. Federal guidelines for peak-flow frequency analyses, provided in Bulletin 17C, assume that the statistical properties of the hydrologic processes driving variability in peak flows do not change over time and so the frequency distribution of annual peak flows is stationary. Better understanding of long-term climatic persistence and further consideration of potential climate and land-use changes have caused the assumption of stationarity to be reexamined. This data release contains input data and results of a study investigating hydroclimatic trends in peak streamflow...
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A hydrodynamic and water-quality model (CE-QUAL-W2) was developed of a 21-mile reach of the upper Illinois River including a 3-mile reach of a major tributary, the Fox River. The CE-QUAL-W2 model is 2-dimensional in the vertical and longitudinal directions and averaged over the lateral direction. Continuous water quality and streamgage data provided time-series data for model boundary conditions. Discrete velocity, cross-section area, and temperature profiles at several locations within the study reach provided model calibration data. The model was calibrated to 2021 and 2022 observed data and validated with 2020 data. Model output consisted of 2-dimensional, laterally averaged hydrodynamic and water-temperature...
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The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial mapping products of the Scotts Creek Watershed in Lake County, California, using National Agriculture Imagery Program (NAIP) imagery from 2018, 2020 and 2022 and Open Street Map (OSM) from 2019. The imagery was downloaded from United States Department of Agriculture (USDA) - Natural Resources Conservation Service (NRCS) Geospatial Data Gateway (https://datagateway.nrcs.usda.gov/) and Geofabrik GmbH - Open Street Map (https://www.geofabrik.de/geofabrik/openstreetmap.html), respectively. The imagery was classified using Random Forest (RF) Modeling to produce land cover maps with three main classifications - bare,...
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This dataset includes pipe-flow monitoring data in sewers used to analyze the water budget at RecoveryPark in Detroit, Michigan. These are provided as 3 text comma separated format files at sewer locations that drain the study area. In addition, there are 6 text comma separated format files containing the Rhodamine dye tracer concentrations collected in the combined sewer locations for this study. The Dye tracer files constitute two separate dye tracer tests in different parts of the sewer system done in the same day.
This USGS Data Release represents water and sediment quality data collected in the Grand Canyon region of northern Arizona. There are 4 separate datasets associated with this Data Release: Water quality data from major Colorado River tributary monitoring sites in and near Grand Canyon from 2015 through 2022. Sediment quality data from the Colorado River and major tributary monitoring sites in and near Grand Canyon from 2015 through 2022. Water quality results from spring and stream sites in Grand Canyon that were sampled by U.S. National Park Service personnel in 2016 and 2017. Time series water quality results from select spring sites in Grand Canyon that were sampled using a Minisipper autosampler. Filtered...
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Optical sensors measuring fluorescence of dissolved organic matter (fDOM) are increasingly used in water quality studies because they provide proxy measurements for a variety of contaminants and constituents of concern including metals and wastewater effluent. Similarly, sensors measuring fluorescence of chlorophyll (fChl) and phycocyanin (fPC) have gained popularity to measure phytoplankton concentration, biomass, and even primary productivity. Optical sensors require calibration using a calibration standard solution which is diluted from a working stock solution. However, preparation of stock solutions is challenging because they are difficult to prepare accurately, need to be prepared in a laboratory setting,...
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This data release documents time-series analyses of aqueous-chemistry data from public-supply wells (PSWs) and associated potential explanatory factors to characterize responses of groundwater quality to drought and recovery periods in California’s San Joaquin Valley (SJV) during 2000-2022. Annual median nitrate values were computed for PSWs throughout the SJV during the period of study. Median annual nitrate values were calculated at all PSWs with available data in the SJV, resulting in a total of 698 PSWs with complete annual records after single-year linear gap imputation. A total of 237 of these records were classified as “low variance” because they contained proportions of identical values exceeding 80 percent...
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This dataset is a collection of hyperspectral imagery profiles of algae, many associated with Harmful Algae Blooms (HABs). Data were collected using a microscope-based hyperspectral imaging system with the cooperation of the National Institute of Standards and Technology. Samples were collected from U.S. Geological Survey (USGS) water quality sampling efforts, to include water quality parameters and algal biomass. Data are shown in basic hyperspectral imagery form, normalized to 1.
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A three-dimensional, variable-density solute-transport model (SUTRA) was developed to evaluate the effects of three selected withdrawal/injection scenarios on salinity of groundwater (as simulated at damselfly anchialine-pool habitat) and discharge of freshwater to the nearshore environment of Kaloko-Honokōhau National Historical Park (KAHO), Hawaiʻi. A base model was constructed using water-level, salinity, and withdrawal data available during the period from 2009 to 2017. Groundwater recharge for the base model was from a published daily water budget representing rainfall for the period 1984-2008. The SUTRA code was modified to include simplified unsaturated zone properties in the subroutine UNSAT. Changes in...
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Harmful algal blooms (HABs) have recently been observed in rivers, including the Illinois River in the Midwest United States. The Illinois River Basin has a history of eutrophication issues, primarily caused by the excessive loading of nitrogen and phosphorus from urban and agricultural sources. Recent events have seen the emergence of cyanobacterial harmful algal blooms in the area. This data release provides early warning indicator (EWI) metrics derived from a continuous chlorophyll concentration dataset obtained from seven water quality monitoring sites along the Illinois River. These metrics include the first-order autoregressive process (Ar1) and the standard deviation (SD) of chlorophyll, which serve as leading...


    map background search result map search result map Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 SUTRA model used to evaluate the effects of groundwater withdrawal and injection, Kaloko-Honokōhau National Historical Park, Hawaiʻi Hydrodynamic and Water-Temperature Model of a 21-Mile Reach of the Upper Illinois River, Illinois, 2020 – 2022 Stability testing results for stock solutions to standardize calibration of field fluorescence sensors Input and results from a random forest classification (RFC) model that predicts redox conditions in groundwater in the contiguous United States Hyperspectral profiles of Harmful Algal Blooms (HABs) and other algae, 2022 Data release: early warning indicators for harmful algal bloom assessments in the Illinois River, 2013 - 2020 Paired Air and Water Temperature Data for Two Watersheds in the Delaware River Basin Select pipe-flow monitoring data from RecoveryPark in Detroit, MI (2015–2021) Groundwater-Quality Time-Series Analyses and Potential Explanatory Factors of Drought-Response Patterns at Public-Supply Wells, San Joaquin Valley, California, 2000-2022 Geospatial mapping products derived from 2018, 2020, and 2022 NAIP aerial imagery for the Scotts Creek Watershed, Lake County, CA Select pipe-flow monitoring data from RecoveryPark in Detroit, MI (2015–2021) Stability testing results for stock solutions to standardize calibration of field fluorescence sensors Hydrodynamic and Water-Temperature Model of a 21-Mile Reach of the Upper Illinois River, Illinois, 2020 – 2022 Paired Air and Water Temperature Data for Two Watersheds in the Delaware River Basin Data release: early warning indicators for harmful algal bloom assessments in the Illinois River, 2013 - 2020 Groundwater-Quality Time-Series Analyses and Potential Explanatory Factors of Drought-Response Patterns at Public-Supply Wells, San Joaquin Valley, California, 2000-2022 Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 Hyperspectral profiles of Harmful Algal Blooms (HABs) and other algae, 2022 Input and results from a random forest classification (RFC) model that predicts redox conditions in groundwater in the contiguous United States