Skip to main content
Advanced Search

Filters: partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: Water Resources (X) > partyWithName: Central Midwest Water Science Center (X)

197 results (16ms)   

View Results as: JSON ATOM CSV
thumbnail
This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2018), with the data processed through September 30, 2018. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) is computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation, and disaggregated to hourly PET by using the...
The text file "PET.txt" contains hourly potential evapotranspiration (PET) data, in thousandths of an inch, from January 1, 1948, to September 30, 2018. Daily PET were computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation and disaggregated to hourly PET, using the Fortran program LXPET (Murphy, 2005). The primary source of the data is Argonne National Laboratory (Argonne National Laboratory, 2018), and data processing followed the guidelines documented in Over and others (2010). References Cited: Argonne National Laboratory, 2018, Meteorological data, accessed on October 10, 2018, at http://www.atmos.anl.gov/ANLMET/. ...
The text file "Air temperature.txt" contains hourly air temperature data in degrees Fahrenheit and associated data-source flags from January 1, 1948, to September 30, 2019. The primary data for water year 2019 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2019) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN18.WDM (Bera, 2019) and renamed as ARGN19.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. The Illinois...
The text file "Dewpoint temperature.txt" contains hourly dewpoint temperature data in degrees Fahrenheit and associated data-source flags from January 1, 1948, to September 30, 2020. The primary data for water year 2020 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2020) and they were processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN19.WDM (Bera, 2020) and renamed as ARGN20.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used...
thumbnail
This data release presents peak-flow frequency analyses by the U.S. Geological Survey based on methods described by Eash and others (2013) for streamgages 06600100, Floyd River at Alton, Iowa; 06600300, West Branch Floyd River near Struble, Iowa; 06600500, Floyd River near James, Iowa; 06605000, Ocheyedan River near Spencer, Iowa; 06605850, Little Sioux River at Linn Grove, Iowa; 06607200, Maple River at Mapleton, Iowa; and 06607500, Little Sioux River near Turin, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analyses for these streamgages were...
thumbnail
This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2022), with the processed data through September 30, 2022. The primary data for water year 2022 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and is processed following the guidelines documented in Over and others (2010). This DR also describes the Watershed Data Management (WDM) database file ARGN22.WDM. The WDM file ARGN22.WDM is an update of ARGN21.WDM (Bera, 2022) with the processed data from October 1, 2021, through September 30, 2022, appended to it. ARGN22.WDM file contains...
thumbnail
These data were collected in coordination with the U.S. Geological Survey Hydrogeophysics Branch for the National Crude Oil Spill Fate and Natural Attenuation Research Site. Water quality data were collected using an Ecomapper Autonomous Underwater Vehicle (AUV) and measured parameters include temperature, specific conductance, salinity, water density, pH, dissolved oxygen, total chlorophyll, and blue-green algae. These data are provided in two formats: a CSV file named AUV_WQ_South.csv, and in the Environmental Systems Research Institute (ESRI) shapefile format consisting of a group of files that have been compressed into a zip archive that is named AUV_WQ_South_shapefile.zip.
This U.S. Geological Survey (USGS) Data Release contains tree-core, soil-gas, and soil data collected at the Vienna Wells Superfund site in Vienna, Missouri by the U.S. Geological Survey between 2011 and 2016. Concentrations of tetrachloroethylene (PCE) are reported for each sample in each medium. Tree-core sampling was conducted over two days (July 29, 2014 and May 21, 2015). Trees sampled on July 29, 2014 were used to calculate concentration centroids for each tree to compare with concentration centroids in soil samples. Tree 29 was sampled on May 21, 2015 to characterize and model tetrachloroethylene concentrations within a single tree. An interpolated soil surface was created from 1,016 soil samples (see doi:...
thumbnail
The U.S. Geological Survey collected topographic data in cooperation with the U.S. Army Corps of Engineers to assist in the management of two recreation areas at Blue Mountain Lake and near Nimrod Lake in Arkansas. Data were collected March 3-4, 2020 using terrestrial light detection and ranging (T-lidar) surveying equipment, Global navigation Satellite System (GNSS) surveying equipment, and conventional surveying techniques. The surveyed locations had a parking area, boat ramp, and some small recreational structures. Each site was surveyed using a FARO 3D tripod-mounted T-lidar unit. Additionally, a topographic survey was conducted in order to georeference the lidar survey. These topographic data were collected...
thumbnail
The U.S. Geological Survey (USGS), in cooperation with the city of Harrisonville, Missouri, assessed flooding of Muddy Creek resulting from varying precipitation magnitudes and durations, antecedent soil moisture conditions, and channel conditions. The precipitation scenarios were used to develop a library of flood-inundation maps that included a 3.8-mile reach of Muddy Creek and tributaries within and adjacent to the city. Hydrologic and hydraulic models of the upper Muddy Creek Basin were used to assess streamflow magnitudes associated with simulated precipitation amounts and the resulting flood-inundation conditions. The U.S. Army Corps of Engineers Hydrologic Engineering Center-Hydrologic Modeling System (HEC–HMS;...
thumbnail
These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the...
thumbnail
The Fluvial Egg Drift Simulator (FluEgg) estimates bighead, silver, and grass carp egg and larval drift in rivers using species-specific egg developmental data combined with user-supplied hydraulic inputs (Garcia and others, 2013; Domanski, 2020). This data release contains results from 240 FluEgg 4.1.0 simulations of bighead carp eggs in the Illinois River under steady flow conditions. The data release also contains the hydraulic inputs used in the FluEgg simulations and a KML file of the centerline that represents the model domain. FluEgg simulations were run for all combinations of four spawning locations, six water temperatures, and ten steady flow conditions. Each simulation included 5,000 bighead carp eggs,...
thumbnail
Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. Old Lake (locally known as Bowling Green West) is a water supply lake used by the city of Bowling Green...
thumbnail
A variety of new technologies are being evaluated to mitigate the spread of invasive carps from the Illinois River to the Great Lakes. In 2022, the U.S. Army Corps of Engineers, U.S. Fish and Wildlife Service, and U.S. Geological Survey undertook a field-scale interagency study to determine the efficacy of an Automated Barge Clearing Deterrent (ABCD) in flushing live fish away from commercial barge vessels entering Peoria Lock on the Illinois River. The ABCD is a forced air manifold system that is placed at the channel bed to create a longitudinal array of bubble plumes. In support of this study, the bathymetry (bottom elevation) of the downstream approach to Peoria Lock, near Peoria, Illinois, was surveyed several...
thumbnail
Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. Shelbina Lake is a water supply lake used by the city of Shelbina in north-central Missouri. The surface...
thumbnail
This data release includes estimates of annual and daily concentrations and fluxes for nitrate plus nitrite, total phosphorus, and suspended sediment for two sites in the Upper Macoupin Creek Basin watershed (UMCB) produced using the Weighted Regressions on Time, Discharge, and Season -- Kalman Filter (WRTDS-K; Zhang and Hirsch, 2019) model in the Exploration of and Graphics for RivEr Trends (EGRET) package (Hirsch and De Cicco, 2015). It also includes a model archive (R scripts in Scripts.zip) used to retrieve and format the model input data and run the model. Input data, for Macoupin Creek at Highway 111 near Summerville, Illinois, and Macoupin Creek at Highway 108 near Carlinville, Illinois (U.S. Geological Survey...
thumbnail
This data release contains steady-state hydraulic input files for the FluOil model (Zhu and others, 2022) that describe the lower St. Croix River between St. Croix Falls, Wisconsin, and Stillwater, Minnesota. These files are derived from the results of a steady-state one dimensional (1D) hydraulic model of the river reach at three discharges (10,000, 20,000, and 35,000 cubic feet per second (cfs)) and include the flow depth, velocity magnitude, and shear velocity along the model domain. A constant temperature of 20 degrees Celsius is also specified. The hydraulic model used to generate this dataset was originally adapted from an existing U.S. Army Corps of Engineers Hydrologic Engineering Center River Analysis System...
thumbnail
Sugar Creek Lake is located approximately 4 miles northwest of Moberly, Missouri, in Randolph County, and has a full-pool surface area of approximately 330 acres. The lake primarily is used for recreation and drinking-water supply for the town of Moberly, Missouri. An earthen dam approximately 38-feet high and 1,125-feet long was constructed across the Sugar Creek valley in 1922. The elevation of the top of the dam is approximately 754 feet, with a 90-feet wide concrete spillway located near the right bank (west end) at an elevation of 746.8 feet. A previous bathymetric survey was completed in 2003. In cooperation with the Missouri Department of Natural Resources, the U.S. Geological Survey resurveyed the bathymetry...
thumbnail
This data release contains one dataset and one model archive in support of the journal article, "Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies," by Jennifer C. Murphy and Jeffrey G. Chanat. The model archive contains scripts (run in R) to reproduce the four machine learning models (logistic regression, linear and quadratic discriminant analysis, and k-nearest neighbors) trained and tested as part of the journal article. The dataset contains the estimated probabilities for each of these models when applied to a training and test dataset.
thumbnail
This dataset describes the Survey Data collected for the Planning Assistance to the States (PAS) study along Little Sugar Creek and selected tributaries, near Bella Vista, Arkansas, and Pineville, Missouri, December 2019. Little Sugar Creek is a tributary to the Elk River in Missouri that commences in Benton County, Arkansas and terminates in McDonald County, Missouri. The stream headwaters are located southeast of Garfield, Arkansas. Little Sugar Creek flows through Bella Vista, Arkansas, and runs north to its confluence with the Big Sugar Creek just south of Pineville, Missouri where it forms the Elk River. Browning Creek, Blowing Spring Creek, Spanker Creek and McKisic Creek are all tributaries to the Little...


map background search result map search result map Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2018 Bathymetric and supporting data for Sugar Creek Lake near Moberly, Missouri, 2018 Survey Data Collection for the Planning Assistance to the States Study along Little Sugar Creek and Selected Tributaries near Bella Vista, Arkansas, and Pineville, Missouri, December 2019 Terrestrial Light Detection and Ranging Topographic Survey Data for Two Recreation Areas Near Blue Mountain Lake and Nimrod Lake, Arkansas, March 2020 Fluvial Egg Drift Simulator (FluEgg) Results for 240 Simulations of Bighead Carp Egg and Larval Drift in the Illinois River Ecomapper water-quality data at unnamed south lake near Bemidji, Minnesota, 2019 Peak-flow frequency analysis for seven selected U.S. Geological Survey streamgages in the Floyd and Little Sioux River Basins, Iowa, based on data through water year 2019 Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020 Geospatial data and model archives associated with precipitation-driven flood-inundation mapping of Muddy Creek at Harrisonville, Missouri (ver. 2.0, December 2022) Nutrient and Sediment Concentrations, Loads, and Yields in the Upper Macoupin Creek Watershed, Water Years 2018–2021 Shelbina Lake near Shelbina, Missouri, 2021 Old Lake (Bowling Green West) near Bowling Green, Missouri, 2021 Lower St. Croix River Steady State Hydraulic Inputs for FluOil Workshop Bathymetry, Point Clouds, and Water Velocity in the Downstream Approach to Peoria Lock, near Peoria, Illinois, During Testing of an Automated Barge Clearing Deterrent, July–September 2022 Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022 Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Ecomapper water-quality data at unnamed south lake near Bemidji, Minnesota, 2019 Bathymetry, Point Clouds, and Water Velocity in the Downstream Approach to Peoria Lock, near Peoria, Illinois, During Testing of an Automated Barge Clearing Deterrent, July–September 2022 Old Lake (Bowling Green West) near Bowling Green, Missouri, 2021 Shelbina Lake near Shelbina, Missouri, 2021 Bathymetric and supporting data for Sugar Creek Lake near Moberly, Missouri, 2018 Geospatial data and model archives associated with precipitation-driven flood-inundation mapping of Muddy Creek at Harrisonville, Missouri (ver. 2.0, December 2022) Survey Data Collection for the Planning Assistance to the States Study along Little Sugar Creek and Selected Tributaries near Bella Vista, Arkansas, and Pineville, Missouri, December 2019 Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022 Lower St. Croix River Steady State Hydraulic Inputs for FluOil Workshop Terrestrial Light Detection and Ranging Topographic Survey Data for Two Recreation Areas Near Blue Mountain Lake and Nimrod Lake, Arkansas, March 2020 Nutrient and Sediment Concentrations, Loads, and Yields in the Upper Macoupin Creek Watershed, Water Years 2018–2021 Bathymetry and Velocity Data from Surveys at Highway Bridges Crossing the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020 Fluvial Egg Drift Simulator (FluEgg) Results for 240 Simulations of Bighead Carp Egg and Larval Drift in the Illinois River Peak-flow frequency analysis for seven selected U.S. Geological Survey streamgages in the Floyd and Little Sioux River Basins, Iowa, based on data through water year 2019 Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies