Filters: Tags: Nitrate (X) > Types: OGC WMS Layer (X)

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High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 From August 2018 to October 2019, the U.S. Geological Survey collected spatially high-resolution water quality data as part of five shoreline synoptic surveys around the perimeters of Owasco, Seneca, and Skaneateles Lakes within the Finger Lakes Region of New York. Water-quality data were collected just below water surface utilizing YSI EXO2 multiparameter sondes and portable nitrate sensors paired with real-time GPS data as part of a HABs monitoring program in the Finger Lakes. In October 2019, water-quality data collection was paired with discrete phytoplankton grab samples on Owasco Lake and Seneca Lake. Phytoplankton grab samples were collected just below water surface with a peristaltic pump at twelve locations... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Contaminants, HABS, Finger Lakes, Limnology, New York, All tags... Owasco Lake, Seneca Lake, Skaneateles Lake, Surface-Water Quality Monitoring, USGS Science Data Catalog (SDC), United States, Water Quality, Water Quality, Water Resources, algae, algal blooms, chlorophyll, class, continuously-measured, cyanobacteria, dissolved oxygen, division, family, fluorescent dissolved organic matter (fDOM), freshwater (surface), genus, hazards, lake ecosystems, limnology, nitrate, nutrient content (water), order, oxygen content (water), phycocyanin, phycology, phytoplankton, spatial, species, specific conductance, surface water quality, synoptic, taxa, taxonomy, turbidity, water pH, water temperature, Fewer tags Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (input data) The datasets provided here are the input data used to run the Seasonal Kendall Trend (SKT) tests and Weighted Regressions on Time, Discharge, and Season (WRTDS) models. SKT tests use "annualSamplingFreqs_allSites.csv" and "wqData_screenedSitesAll.csv" which includes, for all site-parameter combinations, information on annual sampling frequencies and the screened water-quality data, respectively. The WRTDS models use "DRB.wqdata.20200521.csv", "DRB.flow.20200610.zip", and "DRB.info.20200521.csv" for calibration which includes, for all site-parameter combinations, the water-quality data, streamflow data (as separate .csv files for each site), model specifications and site information, respectively. The multisource... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ammonia, Calcium, Chloride, Delaware, Delaware River, All tags... Magnesium, Major ions, Maryland, New Jersey, New York, Nitrate, Orthophosphate, filtered, Orthophosphate, unfiltered, Pennsylvania, Potassium, Seasonal Kendall trend test (SKT), Sodium, Specific conductance, Sulfate, Suspended sediment concentration, Total dissolved solids, Total nitrogen, Total phosphorus, Total suspended solids, Water Quality, Water Quality Water Analysis, Water-Quality Parameters, Weighted regressions on time, discharge and season (WRTDS), environment, nutrient content (water), salinity, suspended material (water), Fewer tags Water quality, quantity, and gas fluxes of the Upper Mississippi River basin (WY 2012-2016) This product consists of one tabular dataset and associated metadata of water quality information related to rivers, streams, and reservoirs in the Upper Mississippi River watershed between 2012 and 2016. This data release is a part of a national assessment of freshwater aquatic carbon fluxes. Data consist of organic and inorganic carbon related species, carbon dioxide and methane gas fluxes calculated from manual chamber measurements, nitrogen species, carbon isotopes, oxygen isotopes, cations, anions, trace metals, and various in situ measurements including: pH, water temperature, air temperature, barometric pressure, dissolved oxygen, turbidity, fluorescent dissolved organic matter, and specific conductance.... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Carbon, Fluorescent Dissolved Organic Matter (fDOM), Minnesota, Shingobee, Shingobee Headwaters Aquatic Ecosystems Project, All tags... Shingobee River Headwaters Region, Surface Water Quality, USGS Science Data Catalog (SDC), Upper Mississippi River Basin, Upper Mississippi River Basin Project, WATER QUALITY/WATER CHEMISTRY, Wisconsin, air temperature, alkalinity, aluminum, ammonium, atmospheric carbon dioxide, atmospheric methane, barium, boron, calcium, carbon dioxide (water), carbon dioxide (water), carbon dioxide flux, carbon isotopes, chloride, deuterium, dissolved oxygen, fluorescence index, greenhouse gas flux, hydrophilic organic acid, hydrophobic organic acid, hydrophobic organic neutral, inorganic carbon, magnesium, manganese, methane flux, nitrate, organic carbon, oxygen isotopes, pH (water), potassium, silicon dioxide, sodium, specific conductance, strontium, sulfate, sulfur, total dissolved nitrogen, total iron, transphilic organic acid, turbidity, ultraviolet-visible absorbance, water quality, water temperature, Fewer tags Natural gradient, lakebed tracer tests using nitrite in a nitrate-contaminated groundwater discharge zone in Ashumet Pond, Massachusetts The U.S. Geological Survey Toxic Substances Hydrology Program at Cape Cod has been investigating the fate and transport of a treated-wastewater, groundwater contaminant plume. A portion of the contaminated groundwater discharges into Ashumet Pond, a kettle hole, freshwater lake. A study was conducted from June 2013 to June 2015 to document transport, transformation, and discharge of dissolved inorganic nitrogen species (DIN; nitrate, nitrite, and nitrous oxide) from the contaminant plume to the lake, across the groundwater-surface water interface. As part of that study, in October 2014, two natural gradient tracer tests were conducted within the lake bed sediments using nitrite as a reactive tracer and bromide as... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ashumet Pond, Denitrification, Environmental Health, Geochemistry, Groundwater-surface water interaction, All tags... Hydrogeology, Lakes, Nitrate, USGS Science Data Catalog (SDC), Water Quality, Fewer tags Calculated Leached Nitrogen from Septic Systems in Wisconsin, 1850-2010 This data release contains a netCDF file containing decadal estimates of nitrate leached from septic systems (kilograms per hectare per year, or kg/ha) in the state of Wisconsin from 1850 to 2010, as well as the python code and supporting files used to create the netCDF file. The netCDF file is used as an input to a Nitrate Decision Support Tool for the State of Wisconsin (GW-NDST; Juckem and others, 2024). The dataset was constructed starting with 1990 census records, which included responses about households using septic systems for waste disposal. The fraction of population using septic systems in 1990 was aggregated at the county scale and applied backward in time for each decade from 1850 to 1980. For decades... Categories: Data; Types: Downloadable, Map Service, NetCDF OPeNDAP Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Leaching, Nitrate, Nitrogen, Septic, USGS Science Data Catalog (SDC), All tags... Wisconsin, biota, Fewer tags Water quality and gas fluxes of Interior Alaska (2014-2018) This product consists of multiple tabular datasets and associated metadata of water quality information related to rivers, streams, and lakes in the Yukon River watershed between 2014 and 2018. This data release is apart of the National Aeronautics and Space Administration (NASA) funded Arctic-Boreal Vulnerability Experiment (ABoVE) and is an assessment of water quality and greenhouse gas fluxes within the interior of Alaska. Sampling frequency varied across locations, with some sites sampled twice a year or more. Data consist of: organic and inorganic carbon related species, carbon dioxide and methane gas fluxes calculated from manual chamber measurements, nitrogen species, carbon isotopes, oxygen and deuterium... Categories: Data; Types: Data, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alaska, Boot Lake, CH4, CO2, CO2 Bubble Trap, All tags... Canvasback Lake, Carbon, DIC, DOC, Dalton Highway, Datasets/Database, Interior Alaska, Steese Highway, USGS Science Data Catalog (SDC), Water Quality, Water Resources, Yukon Flats, alkalinity, ammonium, anion, biogeochemical cycling, calcium, carbon dioxide, carbon flux, cation, chloride, deuterium, dissolved inorganic carbon, dissolved organic carbon, greenhouse gas flux, lake chemistry, magnesium, methane, nitrate, nitrogen, sodium, specific conductance, stream chemistry, sulfate, total dissolved nitrogen, total iron, water chemistry, water isotopes, water quality, water resources, Fewer tags Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (output data) The datasets provided here are the output from the Seasonal Kendall Trend (SKT) test and Weighted Regressions on Time, Discharge, and Season (WRTDS) model that characterize changes in water quality in rivers and streams across the Delaware River Basin. SKT results are compiled in "skt_out.csv" for all combinations of site, water-quality parameter, and trend period. WRTDS results are compiled in four datasets. If unspecified, generalized flow normalization (GFN) results are reported. Stationary flow normalization (SFN) results are indicated in the datasets. "wrtds_out_annResults.csv" contains the annual estimates of mean concentration and load and GFN and SFN estimates by site and parameter for the entire calibration... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ammonia, Calcium, Chloride, Delaware, Delaware River, All tags... Delaware River Basin, Magnesium, Major ions, Maryland, New Jersey, New York, Nitrate, Orthophosphate, filtered, Orthophosphate, unfiltered, Pennsylvania, Potassium, Seasonal Kendall trend test (SKT), Sodium, Specific conductance, Sulfate, Suspended sediment concentration, Total dissolved solids, Total nitrogen, Total phosphorus, Total suspended solids, Water Quality, Water Quality Water Analysis, Water Resources, Water quality, Water-Quality Parameters, Weighted regressions on time, discharge and season (WRTDS), environment, nutrient content (water), salinity, suspended material (water), water-quality trends, Fewer tags Input Files and WRTDS Model Output for the two major tributaries of Lake Koocanusa Canadian discrete water quality data and daily streamflow records were evaluated using the Weighted Regression on Time, Discharge, and Seasons (WRTDS) model implemented with the EGRET R package (Hirsch et al. 2010, Hirsch and De Cicco 2015). Models were used to estimate loads of solutes and evaluate trends for three constituents of interest (selenium, nitrate, and sulfate). Six models were generated; one model for each of the three constituents of interest, in each of the two major tributaries to Lake Koocanusa: the Kootenay River at Fenwick (BC08NG0009), and the Elk River above Highway 93 Near Elko (BC08NK0003). Data were obtained by downloading data from the British Columbia Water Tool (https://kwt.bcwatertool.ca/surface-water-quality,... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: British Columbia, Canada, Coal Mining, Elk River, Koocanusa Reservoir, All tags... Kootenai River, Kootenay Boundary, Lake Koocanusa, Lake Koocanusa, Nitrate, Selenium, Sulfate, Transboundary, USGS Science Data Catalog (SDC), Upper Kootenai, Water Quality, Fewer tags Hydrologic and Water Quality Data from the Cedar River and Cedar River Alluvial Aquifer, Linn County, Iowa, 1990-2019 Surface and groundwater samples were collected, processed, and analyzed for pesticides, nutrients, organic carbon, and inorganics as part of a cooperative study with the City of Cedar Rapids, Iowa. Filtered and whole water samples were sent to the National Water Quality Laboratory in Denver, Colorado. U.S. Geological Survey staff collected field properties and discharge measurements in-situ. Discrete nitrate plus nitrite nitrogen samples were collected by the Cedar Rapids Utilities Water Department, the Iowa Department of Natural Resources, and the U.S. Geological Survey. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Cedar Rapids, Cedar River, Hydrology, Iowa (IA), USGS Science Data Catalog (SDC), All tags... Water Quality, groundwater, nitrate, nitrate concentration, nitrate nitrogen, nutrients, pesticides, streamflows, streamwater nitrate, surfacewater, Fewer tags Modeled nutrient and sediment concentrations from the Des Plaines River at Route 53 at Joliet, Illinois, based on continuous monitoring from October 1, 2017, through September 30, 2020 During the 2018–20 water years, the U.S. Geological Survey, in cooperation with the Metropolitan Water Reclamation District of Greater Chicago, operated a continuous monitoring station on the Des Plaines River at Route 53 at Joliet, Illinois (USGS station 05537980), to better quantify nutrient and sediment loadings from the Greater Chicago Area to the Illinois River. This data release presents estimates of daily nitrate, suspended sediment, and phosphorus concentrations and uncertainty from that period. The concentration estimates are based on a combination of discrete sampling, continuously monitored surrogates, and surrogate regression (Bayesian imputation). The data release comprises a single csv file containing... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Des Plaines River, Illinois, Joliet, USGS Science Data Catalog (SDC), Water Quality, All tags... Water Resources, continuous monitoring, nitrate, suspended-sediment concentration, total phosphorus, water quality, Fewer tags Data for Machine Learning Predictions of Nitrate in Shallow Groundwater in the Conterminous United States An extreme gradient boosting (XGB) machine learning model was developed to predict the distribution of nitrate in shallow groundwater across the conterminous United States (CONUS). Nitrate was predicted at a 1-square-kilometer (km) resolution at a depth below the water table of 10 m. The model builds off a previous XGB machine learning model developed to predict nitrate at domestic and public supply groundwater zones (Ransom and others, 2022) by incorporating additional monitoring well samples and modifying and adding predictor variables. The shallow zone model included variables representing well characteristics, hydrologic conditions, soil type, geology, climate, oxidation/reduction, and nitrogen inputs. Predictor... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Environmental Health, Hydrology, USGS Science Data Catalog (SDC), United States, Water Quality, All tags... environment, geoscientificInformation, groundwater, machine learning, nitrate, water quality, water well, Fewer tags Data to support a Groundwater Nitrate Decision Support Tool for Wisconsin A Groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). Running and using the GW-NDST software involves downloading the software code (version 1.1.0) from the code repository (https://doi.org/10.5066/P13ETB4Q), downloading GIS data for the machine learning support models (child data release "GIS files required to run the Groundwater Nitrate Decision Support Tool for Wisconsin"), downloading the parameter uncertainty file (child data release "Parameter ensemble... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Environmental Health, Geochemistry, Hydrology, Land Use Change, USGS Science Data Catalog (SDC), All tags... Water Quality, Water Resources, Wisconsin, decision support, groundwater, hydrology, mathematical modeling, nitrate, uncertainty, Fewer tags Determine nutrient conditions, cycling, and biological effects in two riverine parks, St.Croix National Scenic River (SACN) and Upper Mississippi River National Recreation Area (MNRA): Data Hydraulic connection between channels and floodplains (“connectivity”) is a fundamental determinant of ecosystem function in large floodplain rivers. Factors controlling material processing in these rivers depend not only on the degree of connectivity but also on the sediment conditions, nutrient loads and source. Nutrient cycling in the nutrient-rich upper Mississippi River (MISS) is relatively well studied, while that of less eutrophic tributaries is not (e.g., St Croix River; SACN). We examined components of nitrogen cycling in two floodplain rivers of contrasting nutrient enrichment and catchment land-use to test the hypothesis that N-cycling rates will be greater in the MISS with elevated nutrient-loads and... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Mississippi River, St.Croix National Scenic River, USGS Science Data Catalog (SDC), Upper Mississippi River National Recreation Area, biota, All tags... connectivity, denitrification, nitrate, productivity, Fewer tags Mean monthly atmospheric wet deposition attributed to NHDplus version 2, October 2006 through September 2017 This record describes a series of comma separated files containing mean rates of monthly total nitrogen (TN), ammonium (NH4), and nitrate atmospheric (NO3) wet deposition attributed to NHDPlus version 2 (NHDv2, Moore and Dewald, 2016)) catchments for the period of record, October, 2006 to September, 2017. Units are in kilograms per square kilometer (kg/km2). Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ammonium, Ammonium, Atmospheric Wet Deposition, Atmospheric Wet Deposition, Catchment, All tags... Catchment, NHDPlus, NHDPlus, National Atmospheric Deposition Program, National Atmospheric Deposition Program, Nitrate, Nitrate, Total Nitrogen, Total Nitrogen, farming, Fewer tags Groundwater nitrate data and ascii grids of predicted nitrate and model inputs for the Central Valley aquifer, California, USA The ascii grids associated with this data release are model inputs representing the Central Valley aquifer, California, and predicted nitrate concentrations (as NO3-N, mg/L) at two depth zones associated with private and public drinking water supply wells, respectively. The model input and prediction grids are bound by the alluvial bed boundary that defines the Central Valley. The prediction grids were produced with Boosted Regression Tree (BRT) modeling methods within a statistical modeling framework using the statistical modeling software R (R Core Team, https://www.r-project.org/) and linear interpolation within Oasis Montaj software (Geosoft, version 9.0.2). The response variable was a set of nitrate concentrations... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Boosted regression trees, California, Central Valley, Hydrogeology, Machine learning, All tags... NAWQA, National Water Quality Program, Nitrate, USGS Science Data Catalog (SDC), United States, Water Quality, Water Resources, cycle 3, groundwater, mathematical modeling, water quality, Fewer tags Seasonal and spatial variation in the location and reactivity of a nitrate-contaminated groundwater discharge zone in a lakebed The U.S. Geological Survey Toxic Substances Hydrology Program at Cape Cod has been investigating the fate and transport of a treated-wastewater, groundwater contaminant plume. A portion of the contaminated groundwater discharges into Ashumet Pond, a kettle hole, freshwater lake. A study was conducted from June 2013 to June 2015 to document transport, transformation, and discharge of dissolved inorganic nitrogen species (DIN; nitrate, nitrite, and nitrous oxide) from the contaminant plume to the lake, across the groundwater-surface water interface. Groundwater, lakewater, lake sediment porewater, and sediment cores were collected and analyzed for DIN constituents as well as functional gene abundance for key N-cycle... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ashumet Pond, Massachusetts, Denitrification, Geochemistry, Groundwater-surface water interaction, Hydrogeology, All tags... Lakes, USGS Science Data Catalog (SDC), Water Quality, nitrate, Fewer tags Alaska Geochemical Database Version 3.0 (AGDB3) including best value data compilations for rock, sediment, soil, mineral, and concentrate sample media The Alaska Geochemical Database Version 3.0 (AGDB3) contains new geochemical data compilations in which each geologic material sample has one best value determination for each analyzed species, greatly improving speed and efficiency of use. Like the Alaska Geochemical Database Version 2.0 before it, the AGDB3 was created and designed to compile and integrate geochemical data from Alaska to facilitate geologic mapping, petrologic studies, mineral resource assessments, definition of geochemical baseline values and statistics, element concentrations and associations, environmental impact assessments, and studies in public health associated with geology. This relational database, created from databases and published... Categories: Data, Data Release - Revised; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: AGDB, AMRAP, Alaska Geochemical Database, Alaska Mineral Resource Assessment Program, Alaska Range, All tags... Aleutian Range, Alexander Archipelago, Brooks Range, Chugach Mountains, Geochemistry, Heavy Mineral Program, Kuskokwim Mountains, Mineralogy, Praseodymium, Seward Peninsula, USGS Science Data Catalog (SDC), Wrangell Mountains, aluminum, analytical chemistry, antimony, arsenic, ash, barium, beryllium, bismuth, boron, bound or essential water, bromine, bulk density, cadmium, calcium, calcium carbonate, carbon, carbon dioxide, carbonate carbon, cerium, cesium, chemical analysis, chlorine, chromium, cobalt, copper, dysprosium, environmental geochemistry, erbium, europium, exploration geochemistry, f02013=Eastern Aleutian Islands, f02016=Western Aleutian Islands, fOC4101=Gulf of Alaska, fOC4102=Bering Sea, fUS02=Alaska, fUS=United States, ferric iron, ferrous iron, fluorine, gadolinium, gallium, geochemical data, geochemistry, geoscientificInformation, germanium, gold, hafnium, heavy-mineral concentrate chemistry, holmium, hydrogen, indium, iodine, iridium, iron, lanthanum, lead, lithium, loss on ignition, lutetium, magnesium, manganese, mercury, mineral resources, mineralogical data, mineralogy, moisture or nonessential water, molybdenum, neodymium, nickel, niobium, nitrate, nitrogen, organic carbon, osmium, pH, palladium, phosphorus, platinum, potassium, powder density, pyritic sulfur, rhenium, rhodium, rock chemistry, rubidium, ruthenium, samarium, scandium, sediment chemistry, selenium, silicon, silver, sodium, soil chemistry, strontium, sulfate, sulfide, sulfur, tantalum, tellurium, terbium, thallium, thorium, thulium, tin, titanium, total water, tungsten, uranium, vanadium, ytterbium, yttrium, zinc, zirconium, Fewer tags Data for Machine Learning Predictions of Nitrate in Groundwater Used for Drinking Supply in the Conterminous United States 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... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Cycle 3, Hydrology, NAWQA, USGS Science Data Catalog (SDC), United States, All tags... domestic well water use, groundwater, machine learning, nitrate, public supply water use, water quality, water well, Fewer tags Annual Nutrient Loads at Illinois EPA Ambient Water Quality Monitoring Network Sites, Water Years 1976–2021 This data release contains estimates of annual nitrogen and phosphorus loads, as well as loads of other constituents, from sites in the Illinois Environmental Protection Agency (Illinois EPA) Ambient Water Quality Monitoring Network. The loads were estimated using Weighted Regressions on Time, Discharge, and Season with Kalman filtering (WRTDS-K) and existing discrete water-quality data and discharge data collected by Illinois EPA, the U.S. Geological Survey, and Illinois State Water Survey from water year 1976 to 2021 (Hirsch and others, 2015; Lee and others, 2019). All water-quality and discharge data used in this work are available from the Water Quality Portal and the National Water Information System database... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ambient Water Quality Monitoring Network, Illinois, USGS Science Data Catalog (SDC), Water Quality, nitrate, All tags... nitrogen, phosphorus, regression analysis, water quality, Fewer tags