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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: 112

Summary of streamflow statistics for USGS streamgages in the southeastern United States: 1950 - 2010

This dataset contains statistical descriptions of observed daily-mean streamflow for 956 sites in the southeast United States. For each site, statistical descriptions are provided according to decade for up to six decades, beginning in 1950 (1950-59 calendar years) and ending with 2000 (2000 - 2009 calendar years) with no more than 7 missing values per year in total (continuous or noncontinuous).

Generalized regions of the Mississippi Alluvial Plain

As part of the U.S. Geological Survey (USGS) Water Availability and Use Science Program study of the Mississippi Alluvial Plain (MAP), a shapefile representing seven generalized regions of the MAP extent as defined by Painter and Westerman (2018) was compiled. The generalized regions provide a framework for analysis, visualization, and regional comparisons of local data within the MAP. Regions nor

Trend analysis results for sites used in RESTORE Streamflow alteration assessments

Daily streamflow discharge data from 139 streamgages located on tributaries and streams flowing to the Gulf of Mexico were used to calculate mean monthly, mean seasonal, and decile values. Streamgages used to calculate trends required a minimum of 65 years of continuous daily streamflow data. These values were used to analyze trends in streamflow using the Mann-Kendall trend test in the R package

Aggregated Data Records Describing USDA Conservation Practices Implemented Within the Chesapeake Bay Watershed

This data release contains aggregated data records documenting the implementation of USDA conservation practices on farms within the Chesapeake Bay watershed. The data are supplied as annual totals aggregated by county, and by eight digit hydrologic unit code (HUC-8) watershed. The initial data release covers 2007-2017, and updates are planned for December of each year. The data provided here, an

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: The original data set contained streamflow data for sites located