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The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are references to or descriptions of analytical methods used, collection methods, environmental data, and associated quality-assurance data for samples collected in 2013. Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes...
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This dataset describes water-quantity and -quality data measured from the parking lot influent and underdrain and overflow effluent from the permeable asphalt, concrete and paver test plots in Madison, Wisconsin, USA. Data include precipitation statistics, volumes, and concentrations and loads of total and dissolved forms of solids, nutrients, chloride, and bacteria. Samples were collected in August 2014 through September 2016. These data are interpreted in a USGS Scientific Investigations Report.
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Interannual differences in the water quality of Anvil Lake, WI, were examined to determine how water level and climate affect the hydrodynamics and trophic state of shallow lakes, and their importance compared to anthropogenic changes in the watershed. To determine how changes in water level may affect these processes, the General Lake Model (GLM) was used to simulate how the lake’s thermal structure should change in response to changes in water level using R. This dataset includes the data inputs to the GLM model and the direct outputs from the model. Model Calibration (GLM_CalibrationZ); Simulation of with Deep Lake and Cold Weather (GLM_Deep_Cold_SimulationZ); Simulation of with Deep Lake and Hot Weather (GLM_Deep_Hot_SimulationZ);...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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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...
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. A total of eleven water samples were collected from four wells, three streambed piezometers, and four springs between October 2020 and May 2021. One field replicate sample was collected from one of the spring sites. Groundwater ages were estimated from dissolved gas (neon, argon, krypton,...
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This topobathymetric digital elevation model (TBDEM) mosaic represents the topography and bathymetry for the Milwaukee River Estuary in Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas. The TBDEM was produced in support of modeling and for developing a physical habitat framework to help with understanding the effects from multidirectional currents and seiche effects associated with the mixing of river flows with Lake Michigan backwater. The TBDEM mosaic is built off existing terrestrial, nearshore, and estuary frameworks developed for other areas around the Great Lakes and the Milwaukee River Harbor. Ranging from 2008-2015, land elevations derived from lidar and historic topographic...
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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.
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The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers Engineer Research and Development Center and the U.S. Environmental Protection Agency, developed a predictive, mechanistic, three-dimensional hydrodynamic model for the St. Louis River Estuary (SLRE), Minnesota. This model was developed with Environmental Fluid Dynamics Code (EFDC), a grid-based, surface-water modeling package for simulating three-dimensional circulation, mass transport, sediments, and biogeochemical processes. The new model predicts discharge, water-surface elevations, flow velocity, and water temperature. The model was calibrated using data collected from April 2016 through November 2016 and validated with...
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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...
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Long-term monitoring data of geomorphic, hydrological, and biological characteristics of landscapes. This information provides an effective means of relating observed change to possible causes of the change. Identification of changes in basin characteristics, especially in arid areas where the response to altered climate or land use is generally rapid and readily apparent, might provide the initial direct indications that factors such as global warming and cultural impacts have affected the environment. The Vigil Network provides an opportunity for earth and life scientists to participate in a systematic monitoring effort to detect landscape changes over time, and to relate such changes to possible causes. This...
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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...
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This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95...
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Data in this data release were obtained for water samples collected under Yellowstone National Park Research Permit YELL-05194 in 2017 through the Integrated Yellowstone Studies Project funded by the Mineral Resources Program. Isotope-spiked incubations were carried out to determine methylation and demethylation potential for Frying Pan spring, Crystal Sister East, Crystal Sister West, and Turbulent Pool, which were selected based on existing data on total mercury and methylmercury concentrations (see companion data release (https://doi.org/10.5066/P9IUY03O). The data represent the experimental conditions of incubation experiments (temperature, time, and experimental spikes) and concentration data associated with...
Note: This data release is currently being revised and is temporarily unavailable. This data release focuses on the nutrient and sediment concentrations, loads, and yields at USGS surface and subsurface-tile edge-of-field (EOF) agricultural monitoring sites in Great Lakes States. Water quality and rainfall metrics are summarized by individual flow events to evaluate the contribution of EOF losses to headwater stream networks in agricultural landscapes. USGS EOF stations are components of multiple local, state, and federal studies with goals of characterizing agricultural influences on water quality and/or documenting water-quality changes as a result of conservation adoption. As part of this data release, data...
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This dataset describes the storm event mean concentrations and loads of total and dissolved forms of phosphorus and nitrogen from paired samples collected in the control and test catchment during the calibration and treatment phase of a leaf removal study in Madison, Wisconsin, USA. Samples were collected in spring 2013 through fall 2015 and are parsed by season where spring represents April – May, summer represents June – September and fall represents October – November. Measured weather parameters for each sampled storm event are also described. These data are interpreted in a journal article published in Science of the Total Environment.
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This data release contains: (1) ASCII grids of predicted probability of elevated arsenic in groundwater for the Northwest and Central Minnesota regions, (2) input arsenic and predictive variable data used in model development and calculation of predictions, and (3) ASCII files used to predict the probability of elevated arsenic across the two study regions. The probability of elevated arsenic was predicted using Boosted Regression Tree (BRT) modeling methods using the gbm package in R Studio version 3.4.2. The response variable was the presence or absence of arsenic >10 µg/L, the U.S. Environmental Protection Agency’s maximum contaminant level for arsenic, in 3,283 wells located throughout both study regions (1,363...
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Avian botulism toxicity is a common cause of death to water and shore birds that live near or migrate through Lake Michigan. The botulism neuro-toxin type E (bontE) gene is responsible for the production of botulinum neurotoxin type E. Quantitative Polymerase Chain Reaction (qPCR) was performed using a Step One Plus Thermocycler (Applied Biosystems) and protocol described in Getchell and others, 2011, Journal of Aquatic Animal Health. The assay was used to assess microbial community DNA obtained from environmental samples that were collected by Great Lakes Science Center and by National Park Service from 2011 to 2014 for the bontE gene. Samples were obtained by ponar grab or by divers and matrices collected...
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DRAINMOD, a field-scale, process-based, distributed model (Skaggs, 1980; https://www.bae.ncsu.edu/agricultural-water-management/DRAINMOD/), was used to simulate subsurface drainage flow and field water-surface elevations. DRAINMOD simulations are often used to optimize drainage patterns for agricultural fields with subsurface drainage. For this study, the model results were also used to simulate deep seepage rates. Deep seepage is the amount of water that moves past the agricultural drains. These deep seepage rates were then used as a surrogate for potential groundwater recharge rates. A total of nine different scenarios were run, each sceanrio corresponding to a different location on one of three different field...
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Median summer water yields and resultant flows are used in Michigan to regulate large water withdrawals to help prevent negative effects on characteristic fish populations. Large water withdrawals commonly are associated with irrigation in rural areas. In an earlier statewide report, an index-flow statistic for the period of record, defined as the median flow during the summer month of lowest flow, was used to characterize median summer flows and associated water yields. In this report, the annual series of median summer water yields for the period July 1 through September 30 within the period of record is used to characterize median summer water yields. For 27 streamgages included in both reports, the average index...
Categories: Data; Tags: Allegan County, Michigan, Barry County, Michigan, Berrien County, Michigan, Branch County, Michigan, Calhoun County, Michigan, All tags...


map background search result map search result map Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance Concentration of total and dissolved forms of phosphorus and nitrogen from the control and test catchment during the calibration and treatment phase in Madison, WI (2013 - 2015) Regression models and associated data for describing variability of host specific bacteria fluxes in eight Great Lakes tributaries, 2011-2013 Storm Characteristics, Concentrations, and Loads Measured at the Permeable Pavement Research Facility, Madison, Wisconsin (2014 - 2016) Groundwater arsenic data and ASCII grids for predicting elevated arsenic in northwestern and central Minnesota using boosted regression tree methods GLM model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin Avian Botulism qPCR data, Leelanau Peninsula, Michigan. Years 2011-2014 Data on Factors Affecting Spatial and Temporal Variations of Annual Summer Median Water Yields in Southwestern Michigan, 1945-2015 Microplastics in the surficial benthic sediment from Lake Michigan and Lake Erie, 2013 and 2014 DRAINMOD simulations for two agricultural drainage sites in western Fillmore County, southeastern Minnesota St. Louis River estuary (Minnesota-Wisconsin) EFDC hydrodynamic model for discharge and temperature simulations: 2016–17 Groundwater data, predictor variables, and rasters used for predicting the probability of high arsenic and high manganese in the Glacial Aquifer System, northern continental United States Suspended sediment and bedload data, simple linear regression models, loads, elevation data, and FaSTMECH models for Rice Creek, Minnesota, 2010-2019 Topobathymetric Digital Elevation Model (TBDEM) of the Milwaukee River Estuary, Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas The Vigil Network: long-term, broad spectrum data collected to observe landscape change in drainage basins Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016 orthorgb100mp_20200811_110036_441_37107_22801 - - through - - orthorgb100mp_20200811_112156_692_45955_22880 Isotopic Examination of Mercury Methylation and Demethylation Rates in Yellowstone National Park Thermal Features Groundwater data and age information from samples collected in Minnesota Nutrient and sediment concentrations, loads, yields, and rainfall characteristics at USGS surface and subsurface-tile edge-of-field agricultural monitoring sites in Great Lakes States Suspended sediment and bedload data, simple linear regression models, loads, elevation data, and FaSTMECH models for Rice Creek, Minnesota, 2010-2019 Concentration of total and dissolved forms of phosphorus and nitrogen from the control and test catchment during the calibration and treatment phase in Madison, WI (2013 - 2015) DRAINMOD simulations for two agricultural drainage sites in western Fillmore County, southeastern Minnesota Storm Characteristics, Concentrations, and Loads Measured at the Permeable Pavement Research Facility, Madison, Wisconsin (2014 - 2016) Topobathymetric Digital Elevation Model (TBDEM) of the Milwaukee River Estuary, Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas St. Louis River estuary (Minnesota-Wisconsin) EFDC hydrodynamic model for discharge and temperature simulations: 2016–17 orthorgb100mp_20200811_110036_441_37107_22801 - - through - - orthorgb100mp_20200811_112156_692_45955_22880 GLM model data sets used to evaluate changes in the hydrodynamics of Anvil Lake, Wisconsin Avian Botulism qPCR data, Leelanau Peninsula, Michigan. Years 2011-2014 Isotopic Examination of Mercury Methylation and Demethylation Rates in Yellowstone National Park Thermal Features Groundwater data and age information from samples collected in Minnesota Data on Factors Affecting Spatial and Temporal Variations of Annual Summer Median Water Yields in Southwestern Michigan, 1945-2015 Groundwater arsenic data and ASCII grids for predicting elevated arsenic in northwestern and central Minnesota using boosted regression tree methods Regression models and associated data for describing variability of host specific bacteria fluxes in eight Great Lakes tributaries, 2011-2013 Microplastics in the surficial benthic sediment from Lake Michigan and Lake Erie, 2013 and 2014 Pesticides and pesticide transformation product data from passive samplers deployed in 15 Great Lakes tributaries, 2016 Nutrient and sediment concentrations, loads, yields, and rainfall characteristics at USGS surface and subsurface-tile edge-of-field agricultural monitoring sites in Great Lakes States Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance The Vigil Network: long-term, broad spectrum data collected to observe landscape change in drainage basins Groundwater data, predictor variables, and rasters used for predicting the probability of high arsenic and high manganese in the Glacial Aquifer System, northern continental United States