Filters: Tags: Hydrology (X) > partyWithName: Upper Midwest Water Science Center (X)
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This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Green Bay Restoration Assessment (GBRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...
This community serves to document data and analysis collected by researchers within the Upper Midwest Water Science Center whose mission is to collect high-quality hydrologic data and conduct unbiased, scientifically sound studies of water resources within the Great Lakes and Upper Mississippi Basins. We strive to meet the changing needs of those who use our information—from the distribution, availability, and quality of our water resources to topic-oriented research that addresses current hydrological issues.
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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geomorphology,
Hydrology,
Minnesota,
Rice Creek,
Sedimentology,
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...
Confined (or buried) aquifers overlain by till confining units are used to supply drinking water to millions of people. Till confining units are typically conceptualized as having very low potential for transmitting water. Thus, buried aquifers are thought to be less susceptible to surface contamination, but may recharge very slowly and may be prone to unsustainable groundwater withdrawals. Quantification of the recharge (leakage) rate through till is essential to understanding the long-term sustainability of groundwater withdrawals from buried aquifers and yet few data exist on the hydraulic properties of till and groundwater flux through till. The information contained in this data release is generated from field...
Categories: Data;
Tags: Akeley, Minnesota,
Cromwell, Minnesota,
Geochemistry,
Hydrogeology,
Litchfield, Minnesota,
This data release contains water level data and analytical results from slug tests performed at 12 wells at Badger Army Ammunition Plant (BAAP), Sauk County, Wisconsin. Water-level data, representing the displacement and recovery of groundwater levels with time in wells during slug tests, are provided in comma delimited files. Analytical results are provided in AQUTESOLV files (*.aqt files) and *.pdf summary files. The methods used and results from this work are summarized in the USGS Scientific Investigation report by Haserodt and others, 2023: https://doi.org/10.3133/sir20235040.
Categories: Data;
Tags: Sauk County,
USGS Science Data Catalog (SDC),
Water Resources,
Wisconsin,
aquifers,
Note: This data release is currently being revised and is temporarily unavailable. Two types of passive samplers for polychlorinated biphenyl (PCB) analysis were deployed in the Clinton River Area of Concern in 2019: semipermeable membrane devices for water and in-stream sediment samplers. Samplers were deployed in July 2019 and retrieved in August 2019. Additionally, bank sediment samples for PCB analysis were collected by the U.S. Geological Survey (USGS) in August 2019 and catch basin bottom material samples for PCB analysis were collected by LimnoTech in November 2019 under contract with the U.S. Army Corps of Engineers. These data are a part of a larger study and associated USGS report (https://doi.org/TBD).
Categories: Data,
Data Release - Under Revision;
Tags: Clinton River,
Environmental Health,
Hydrology,
Lake St. Clair,
Macomb County,
This data release contains datasets developed for the purpose of training and applying random forest models to the Mississippi Embayment Regional Study Area. The random forest models are designed to predict total stream flow and baseflow as a function of a combination of watershed characteristics and monthly weather data. These datasets are associated with a report (SIR 2022-5079) and code contained in a USGS GitLab repository. The GitLab repository (https://code.usgs.gov/map/maprandomforest/) contains much more information about how these data may be used to supply predictions of stream flow and baseflow.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hydrology,
USGS Science Data Catalog (SDC),
Water Resources
This model archive makes available the U.S. Geological Survey Soil-Water-Balance (SWB) model created in support of a groundwater flow model of the former Badger Army Ammunition Plant in Sauk County, Wisconsin. The SWB model provides initial estimates of potential recharge to the groundwater system in the study area, which are used in a calibrated 3-dimensional MODFLOW (modular finite-difference flow) model. The SWB and MODFLOW models run from 1980 to 2020. The model incorporates changing land use, and changes reflecting the decomissioning of the plant (changing urban back to non-urbanized). SWB output is broken up into 50 model timesteps for the MODFLOW model.
This model archive makes available a calibrated, transient MODFLODW-NWT model and a MODPATH7 particle-tracking model used to simulate the groundwater flow system at the former Badger Army Ammunition Plant, in Sauk County, Wisconsin, during 1984–2020. The development of the MODFLODW-NWT and MODPATH7 models are described in the associated U.S. Geological Survey Scientific Investigations Report 2023-5040. This model archive contains all the files needed to document and run the groundwater flow and particle-tracking models. The directories in the archive are each presented as a separate .zip file and include an a "bin" directory, a "georef" directory, a "model” directory, an "output" directory, and a "source" directory....
The U.S. Geological Survey, Voyageurs National Park, South Dakota State University, and Missouri Department of Conservation conducted a cooperative study to measure ratios of strontium to calcium (Sr:Ca) in cross sections of pectoral fin rays obtained from lake sturgeon (Acipenser fulvescens) captured in lakes and rivers of Namakan Reservoir in Minnesota and Ontario. We measured Sr:Ca ratios in cross sections of 37 pectoral fin rays collected from 10 locations (5 rivers and 5 lakes) in Namakan Reservoir as part of a larger study to investigate whether relations between Sr:Ca in water and pectoral fin rays were significant and useful for determining migratory histories of lake sturgeon in Namakan Reservoir. Pectoral...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Aquatic Biology,
Crane Lake,
Echo River,
Ecology,
Hydrology,
Four digital water-surface profile maps for a 14-mile reach of the Mississippi River near Prairie Island in Welch, Minnesota from the confluence of the St. Croix River at Prescott, Wisconsin to upstream of the United States Army Corps of Engineers (USACE) Lock and Dam No. 3 in Welch, Minnesota, were created by the U.S. Geological Survey (USGS) in cooperation with the Prairie Island Indian Community. The water-surface profile maps depict estimates of the areal extent and depth of inundation corresponding to selected water levels (stages) at the USGS streamgage Mississippi River at Prescott, Wisconsin (USGS station number 05344500). Current conditions for estimating near-real-time areas of water inundation by use...
In the Great Lakes basin, there are numerous organizations undertaking scientific monitoring and research efforts with the goal of identifying threats and evaluating management strategies that will protect and restore the Great Lakes ecosystem. Coordination among all these stakeholders is a challenge, and having a centralized location where researchers and managers can identify relevant scientific activities and access fundamental information about these activities is crucial for efficient management. The Science in the Great Lakes (SiGL) Mapper was a map-based discovery tool that spatially displayed basin-wide multidisciplinary monitoring and research activities conducted by both USGS and partners from all five...
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). The GW-NDST relies on several support models, including machine-learning models that require numerous GIS input files. This data release contains all GIS files required to run the GW-NDST and its machine-learning support models. The GIS files are packaged into three ZIP files (WI_County.zip, WT-ML.zip, and WI_Buff1km.zip) which are contained in this data release. Before running the GW-NDST, these ZIP...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC),
Wisconsin,
aquifer system,
groundwater,
hydrogeology,
A histrogram-based boosted regression tree (HBRT) method was used to predict the depth to the surficial aquifer water table (in feet) throughout the State of Wisconsin. This method used a combination of discrete groundwater levels from the U.S. Geological Survey National Water Information System, continuous groundwater levels from the National Groundwater Monitoring Network, the State of Wisconsin well-construction database, and NHDPlus version 2.1-derived points. The predicted water table depth utilized the HBRT model available through Scikit-learn in Python version 3.10.10. The HBRT model can predict the surficial water table depth for any latitude and longitude for Wisconsin. A total of 48 predictor variables...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: USGS Science Data Catalog (SDC),
Wisconsin,
aquifer system,
groundwater,
hydrogeology,
Parameter ensemble files required to run the 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). The GW-NDST relies on an ensemble of calibrated parameters to make nitrate predictions and to estimate the uncertainty of those predictions. This data release contains all of the calibrated parameter files required to run the tool. The files are packaged in a single ZIP file. To run the tool, the ZIP package needs to be downloaded and extracted within the pest/ies_parameter_ensembles/ subdirectory...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: PEST,
PESTPP-IES,
USGS Science Data Catalog (SDC),
Wisconsin,
hydrology,
This model archive makes available the calibrated Soil-Water-Balance (SWB) model used to simulate potential recharge for the State of Maine for 1991 to 2015. The model was calibrated using annual values of runoff, evapotranspiration, and recharge for 32 watersheds in the State. The simulations were used to create 25-year statistical grids of annual potential recharge (mean, median, minimum, and maximum), and the uncertainty around these grids. The calibrated SWB model and its use is described in the associated U.S. Geological Survey Scientific Investigations Report 2019-5125. The Maine SWB model was used to create output at two different scales: 250-meter and 500-meter grid cells. The calibration and uncertainty...
This model archive contains the model files for the MERAS 3 and Mississippi Delta groundwater flow models documented in the U.S. Geological Survey Scientific Investigations Report 2023-5100. The MERAS 3 model provides a simplified representation of groundwater flow in the Mississippi Embayment Regional Aquifer Study (MERAS) area for the period of 1900 through 2018, with the primary goal of providing boundary fluxes for inset models focused on local areas of interest. The Mississippi Delta model simulates groundwater flow in the Delta region of northwestern Mississippi from 1900 through 2018, using boundary fluxes from the MERAS 3 model. A scenario version of the Mississippi Delta model extends the simulation to...
As part of the Great Lakes Restoration Initiative, the U.S. Department of Agriculture, Natural Resources Conservation Service; U.S. Environmental Protection Agency; and the U.S. Geological Survey (USGS) have partnered to evaluate agricultural conservation practices focused on nutrient management. Monitoring methods allow for rapid assessment of water-quality changes in response to conservation efforts by focusing on subsurface-tile drainage and direct surface runoff from fields. Estimated daily loads presented within this dataset are from five surface-runoff monitoring stations (USGS station identification number 441624088045601, approximated drainage area of 4.17 hectare; USGS station identification number 441546088082001,...
Categories: Data;
Tags: Brown County,
East River,
Greenleaf,
USGS Science Data Catalog (SDC),
Wisconsin,
PEST++ Version 5 software release. This release includes ASCII format C++11 source code, precompiled binaries for windows 10 and linux, and inputs files the example problem shown in the report
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