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Data

Click on the button below to find Real-Time Water Data for the states in the Lower Mississippi-Gulf. This includes Streamflow, Water Quality, Groundwater Levels, Precipitation and Water-Use. 

Filter Total Items: 168

Water-quality trends and trend component estimates for the Nation's rivers and streams using Weighted Regressions on Time, Discharge, and Season (WRTDS) models and generalized flow normalization, 1972-2012

Nonstationary streamflow due to environmental and human-induced causes can affect water quality over time, yet these effects are poorly accounted for in water-quality trend models. This data release provides instream water-quality trends and estimates of two components of change, for sites across the Nation previously presented in Oelsner et al. (2017). We used previously calibrated Weighted Regre

Basin characteristics, climate data, and R-scripts to determine hydrologic alteration in the Mississippi Alluvial Plain

To identify the degree of hydrologic alteration of streams in the Mississippi Alluvial Plain (MAP), we used random forest (RF) regression methods (Breiman, 2001) to model the relation between six selected streamflow characteristics and explanatory variables (such as drainage area, precipitation, soils, and other watershed characteristics). RFs were chosen for this study because they have been prov

Inventory of well-construction data, water-quality and quality control data, statistical data, and geochemical modeling data for wells in Atlantic and Gulf Coastal Plain aquifers, eastern United States, 2012 and 2013

This dataset provides analytical and other data in support of an analysis of lead and manganese in untreated drinking water from Atlantic and Gulf Coastal Plain aquifers, eastern United States. The occurrence of dissolved lead and manganese in sampled groundwater, prior to its distribution or treatment, is related to the potential presence of source minerals and specific environmental factors incl

Waterborne resistivity surveys for streams in the Mississippi Alluvial Plain, 2017

This data release has three components for each of the eight stream lengths: 1) a geospatial dataset of the processed data; 2) tabular data of the processed waterborne resistivity profiling data and associated water-quality data; 3) tabular data of the raw waterborne resistivity data and associated water-quality data. In fresh water aquifers, the geoelectric resistivity of earth materials comm

Bathymetry and Storage Capacity of Nimrod Lake, Arkansas

A bathymetric survey of Nimrod Lake, Arkansas, was conducted in late April to mid-May, 2016, by the Lower Mississippi-Gulf Water Science Center (LMG WSC) of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Point data from the bathymetric survey were merged with point data from an aeria

Map of Study Area and Phytoplankton Taxonomy in Three North Louisiana Reservoirs: Cross Lake, Bayou D'Arbonne Lake, and Poverty Point Reservoir, June 2009-February 2011

This data release includes GIS shapefiles and metadata for location of the study area and phytoplankton taxonomy counts determined by Dr. Russel Rhodes, Faculty Emeritus, Department of Biology, Missouri State University, in three north Louisiana reservoirs: Cross Lake, Bayou D'Arbonne Lake, and Poverty Point Reservoir, June 2009-February 2011.

Annual estimates of suspended-sediment concentration and load to support trend analysis on the Mississippi River and Atchafalaya River, 1980-2015

This data release contains annual estimates of suspended-sediment concentration and load for the Mississippi River, St. Francisville site and the Atchafalaya River, Melville site from 1980-2015. Annual estimates and flow-normalized estimates were generated using the Weighted Regressions on Time, Season and Discharge (WRTDS) model. Input data for the model included suspended-sediment concentrations

7Q10 Records and Basin Characteristics for 173 basins in Arkansas, Iowa, Kansas, Missouri, Nebraska, and Oklahoma (2017)

This data release replicates the methods detailed in the 2017 publication titled "Improving predictions of hydrological low-flow indices in ungaged basins using machine learning" for a different data set. The original data set and the associated readme file for the model archive can be viewed here: https://doi.org/10.5066/F7CR5S4T. The original data set contained streamflow data for sites located

2010 county and city-level water-use data and associated explanatory variables

This data release contains the input-data files and R scripts associated with the analysis presented in [citation of manuscript]. The spatial extent of the data is the contiguous U.S. The input-data files include one comma separated value (csv) file of county-level data, and one csv file of city-level data. The county-level csv (county_data.csv) contains data for 3,109 counties. This data includes

Water withdrawals by source and category in Louisiana Parishes, 2014-2015

Information concerning the availability, use, and quality of water in the 64 parishes of Louisiana is critical for water-supply management. In cooperation with the Louisiana Department of Transportation and Development, the U.S. Geological Survey (USGS) Lower Mississippi-Gulf (LMG) Water Science Center has been collecting, compiling, and publishing water-withdrawal and water-use information on a 5

Water-level models used to estimate drawdown in 32 monitoring wells screened in the Mississippi River Valley Alluvial aquifer and 4 observation wells screened in the Memphis aquifer during an aquifer test at the Tennessee Valley Authority Allen power plan

This data release presents tabular data and water-level drawdown model files for 32 Mississippi River Valley Alluvial aquifer monitoring wells and 4 Memphis aquifer observation wells from an aquifer test conducted in October 2017 at the Tennessee Valley Authority Allen power plants in Memphis, Shelby County, Tennessee. The dataset contains the water-level model files used to estimate drawdown in t

Irrigated Acreage in Tennessee Counties, 1934 to 2017 (ver. 1.1, June 2022)

Understanding the number of acres of farmland irrigated and the amount of water used for irrigation is central to water-resource planning and public decision making. The U.S. Geological Survey (USGS), in cooperation with the Tennessee Department of Environment and Conservation, Division of Water Resources (TDEC-DWR), compiled available 5-year, county-level data on irrigated acres in Tennessee from