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This data release contains three groundwater-flow models of northeastern Wisconsin, USA, that were developed with differing levels of complexity to provide a framework for subsequent evaluations of the effects of process-based model complexity on estimates of groundwater age distributions for withdrawal wells and streams. Preliminary assessments, which focused on the effects of model complexity on simulated water levels in the glacial aquifer system, illustrate that simulation of vertical gradients using multiple model layers improves simulated heads more in relatively low-permeability units than in high-permeability units. Moreover, simulation of heterogeneous hydraulic conductivity fields in both coarse-grained...
A new groundwater flow model for western Chippewa County, Wisconsin has been developed by the Wisconsin Geological and Natural History Survey (WGNHS) and the U.S. Geological Survey (USGS). An analytic element GFLOW model was constructed and calibrated to generate hydraulic boundary conditions for the perimeter of the more detailed three-dimensional MODFLOW-NWT model. This three-dimensional model uses the USGS MODFLOW-NWT finite difference code, a standalone version of MODFLOW-2005 that incorporates the Newton (NWT) solver. The model conceptualizes the hydrogeology of western Chippewa County as a six-layer system which includes several hydrostratigraphic units. The model explicitly simulates groundwater-surface-water...
A GFLOW model was constructed of the Park Falls Unit as part of a larger study of the Chequamegon-Nicolet National Forest. The model supports the goals of the project by providing improved characterization of the groundwater/surface-water system and a tool to evaluate the sensitivity of hydrologic flows and temperature to future climate and land use changes.
A regional groundwater flow model (https://pubs.usgs.gov/sir/2009/5244/) was updated to reflect 2017 pumping conditions in the Tri-County Region covering most of Clinton, Eaton, and Ingham Counties, Michigan. This model was developed to simulate the regional hydrologic system in Tri-County area and continues to be used for planning and protection of area water supplies. Revised contributing area delineations in response to recent pumping conditions were needed for local wellhead protection area programs. The model was calibrated to water level observations for 2017 from well driller logs, average water levels for 2012-17 from active USGS observation wells, and estimated baseflow for 2012-16 from USGS streamgaging...
This groundwater-flow model archive contains all of the input and output files for an inset MODFLOW-NWT model extracted from the northern (Wisconsin) half of a published USGS steady-state regional model of the Upper Fox River Basin in the U.S. Upper Midwest. The construction and details of the published USGS steady-state model of the Upper Fox River Basin is outlined in the U.S. Geological Survey Scientific Investigations Report 2018-5038 (https://doi.org/10.3133/sir20185038). The regional model is archived in the data release at https://doi.org/10.5066/F76D5R5V. The extracted model was used to demonstrate an innovative new method for delinating fen distribution and discharge using the MODFLOW UZF package. The extracted...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This data set represents the state (political) boundaries of Mexico. The Digitial Chart of the World data set had incomplete state boundaries, which was the reason to create this coverage. It was digitized from a 1992 CIA map at a scale of 1:3 million. The coast line came from the Digital Chart of the world at a scale of 1:1 million. The state names were labeled from the map and an attribute to help fill the states was added. The...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This is a line coverage of average annual runoff in the conterminous United States, 1951-1980. Surface runoff Average runoff Surface waters United States
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);...
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.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Dane County,
Madison,
USGS Science Data Catalog (SDC),
chloride,
nutrients,
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...
Five MODFLOW-NWT inset models were extracted from the Lake Michigan Basin (LMB) regional model (https://pubs.usgs.gov/sir/2010/5109/). These inset models were designed to serve as a training ground for metamodels of groundwater age in glacial wells. The study areas of the inset models correspond to HUC8 basins. Two of the basins are tributary to Lake Michigan from the east, two are tributary to the lake from the west, and one is located outside the western boundary of the Lake Michigan topographic basin. The inset models inherit many of the inputs to the parent LMB model, such as its hydrostratigraphy and layering scheme, the hydraulic conductivity assigned bedrock layers, the recharge distribution, and water use...
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.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Madison,
USGS Science Data Catalog (SDC),
Water Quality,
Wisconsin,
nonpoint-source pollution,
The U.S. Geological Survey is developing national water-use models to support water resources management in the United States. Model benefits include a nationally consistent estimation approach, greater temporal and spatial resolution of estimates, efficient and automated updates of results, and capabilities to forecast water use into the future and assess model uncertainty. This data release contains data used in a machine learning model to estimate monthly water use for communities that are supplied by public-supply water systems in the conterminous United States for 2000-2020. This data release also contains associated scripts used to produce input features as well as model output values by 12-digit hydrologic...
Human-associated indicator bacteria and human specific viruses in the Menomonee River watershed in Milwaukee, WI were investigated from April 2009 to March 2011 at six sampling locations within the watershed using genetic markers to assess the amount of waterborne pathogen contamination. We used concentration and water volume data from runoff-event and low-flow periods to compute human virus and indicator bacteria loads for each sample collected. Loads were then used, along with drainage area from each defined sub-watershed, to compute yield contributions of human-associated bacteria and human specific viruses for each of the six sub-watersheds studied in the Menomonee River watershed.
Categories: Data;
Tags: Environmental Health,
Menomonee Falls, Wisconsin,
Menomonee River,
Milwaukee, Wisconsin,
USGS Science Data Catalog (SDC),
Groundwater age is an important indicator of groundwater susceptibility to anthropogenic contamination and a key input to statistical models for forecasting water quality. Numerical models can provide estimates of groundwater age, enabling interpretation of measured age tracers. However, to extend to national-scale groundwater systems where numerical models are not routinely available, a more efficient metamodeling approach can provide a less precise but widely applicable estimate of groundwater age, trained to make forecasts based on predictor variables that can be measured independent of numerical models. We trained gradient-boosted regression tree statistical metamodels to MODFLOW/MODPATH derived groundwater...
A groundwater-flow model was developed for the Bad River Watershed and surrounding area by using the U.S. Geological Survey (USGS) finite-difference code MODFLOW–NWT. The model simulates steady-state groundwater-flow and base flow in streams by using the streamflow routing (SFR) package. The model was calibrated to groundwater levels and base flows obtained from the USGS National Water Information System (NWIS) database, and groundwater levels obtained from the Wisconsin Department of Natural Resources and Bad River Band well-construction databases. Calibration was performed via nonlinear regression by using the parameter-estimation software suite PEST.
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This data set represents the extent of the Marshall aquifer in Michigan.
A MODFLOW-NWT model was used to simulate the water budget for Haskell Lake and Tower Creek in WI using the Lake, Streamflow Routing, and Unsaturated Zone Flow packages. Particle tracking was performed with the MODFLOW solution (using MODPATH 6). This USGS data release contains all of the input and output files for the simulations described in the associated model documentation report (https://doi.org/10.3133/sir20205024).
A MODFLOW-NWT groundwater flow model was developed to simulate groundwater movement in the area around Anvil Lake, and groundwater inputs and outputs from the lake from 1980 to 2014. Surface-water hydrology was simulated using the lake package. The MODFLOW model was first calibrated for steady-state conditions, or "average" conditions corresponding to January 1, 1980, to December 31, 2014 to estimate spatial hydrogeologic properties. Following the steady-state calibration, the model was applied in transient mode to estimate average monthly hydrologic conditions (groundwater inputs and outputs) for each year from 1980 to 2014.
The U.S. Geological Survey (USGS), in cooperation with the St. Croix River Research Station – Science Museum of Minnesota, updated a previously developed CE-QUAL-W2 hydrodynamic and water-quality model of Madison Lake, Minnesota (Smith and others, 2017). The previous version partitioned phytoplankton into four general algal communities or groups: (1) Bacillariophyta (diatoms) and Chrysophyta (chrysophytes); (2) Chlorophyta (green algae); (3) Cyanophyta (cyanobacteria); and, (4) Haptophyta and Cryptophyta (flagellates). For the updated model, the Cyanophyta group (originally referred to as blue-green algae) has been divided into two groups: a nitrogen-fixing Cyanophyta group, generally representative of Anabaena,...
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