Data

This data release contains the FluOil software and the inputs and outputs needed to reproduce the FluOil model findings for a related publication (Li and others, 2022). The FluOil model describes the fate and transport of oil-particle aggregates (OPAs) in inland waterbodies by using particle tracking algorithms to represent the advection, dispersion, deposition, and resuspension of OPAs in turbule

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 R

As part of the Great Lakes Restoration Initiative (GLRI) project template 774-18 entitled "Development of monitoring and response methodologies, and implementation of an Adaptive Management Framework to work towards Eradication of Grass Carp in Lake Erie" an integrated bathymetric/hydrodynamic/water-quality survey of the Maumee River (Ohio) was completed by the U.S. Geological Survey (USGS) in the

The U.S. Army Corps of Engineers - Little Rock District (SWL) Civil Works program has a mission to maintain cohesion between physical and naturally developed environments. Evaluation of shoreline stability and adjacent development of a harbor along the McClellan-Kerr Arkansas River Navigation System at River Mile 202.6 is essential in establishing a baseline for potential impacts and future monit

The U.S. Geological Survey constructed a steady-state numerical groundwater flow model in cooperation with Des Moines Water Works (DMWW) to simulate groundwater flow conditions in the Des Moines River alluvial aquifer (DMRA) during winter low-flow conditions typical of December 2018-2020. The Des Moines River alluvial aquifer (DMRA) is an important source of water for Des Moines Water Works (DMWW)

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 est

This data release contains daily mean squared logarithmic error (MSLE), as well as several decompositions of the MSLE, for three streamflow models: nearest-neighbor drainage area ratio (NNDAR), a simple statistical model that re-scales streamflow data from the nearest streamgage; the version 3.0 calibration of the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Mod

In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project. One of the major goals of the NAWQA project was to determine how river water quality has changed over time. To support that goal, long-term consistent and comparable monitoring has been conducted by the USGS on streams and r

The U.S. Geological Survey (USGS), in cooperation with the Missouri Department of Natural Resources (MDNR), collects data pertaining to the surface-water resources of Missouri. These data are collected as part of the Missouri Ambient Water-Quality Monitoring Network (AWQMN) and are stored and maintained by the USGS National Water Information System (NWIS) database. These data constitute a valuable

This dataset contains site information, basin characteristics, results of flood-frequency analysis, and a generalized (regional) flood skew for 76 selected streamgages operated by the U.S. Geological Survey (USGS) in the upper White River basin (4-digit hydrologic unit 1101) in southern Missouri and northern Arkansas. The Little Rock District U.S. Army Corps of Engineers (USACE) needed updated es

This data release contains estimates of annual nitrate, suspended sediment, phosphorus, and chloride loads and uncertainty 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 d

A suite of geophysical methods was used along the Des Moines River, Beaver Creek, and in the Des Moines River floodplain in Des Moines, Iowa to support the hydrogeologic characterization of the alluvial aquifer associated with the river. The aquifer consists of sands and gravels underlain by weathered shale bedrock. Groundwater from the aquifer along with surface water sources are used for municip