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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: 243

Soil-Water-Balance forecasted climate model output for simulations of water budget components in the Mississippi Embayment Regional Aquifer System, 2019 to 2055 Soil-Water-Balance forecasted climate model output for simulations of water budget components in the Mississippi Embayment Regional Aquifer System, 2019 to 2055

This data release provides 64 forecasted water budget simulations for the Mississippi Embayment Regional Aquifer System (MERAS) during the period 2019 to 2055. Gridded daily data (1-kilometer resolution) include net infiltration (potential groundwater recharge), rejected net infiltration, interception, runoff, runoff outside (runoff that cannot be routed downslope), irrigation, actual

U.S. Geological Survey National Produced Waters Geochemical Database (ver. 3.0, December 2023) U.S. Geological Survey National Produced Waters Geochemical Database (ver. 3.0, December 2023)

During hydrocarbon production, water is typically co-produced from the geologic formations producing oil and gas. Understanding the composition of these produced waters is important to help investigate the regional hydrogeology, the source of the water, the efficacy of water treatment and disposal plans, potential economic benefits of mineral commodities in the fluids, and the safety of...

Geospatial representations of salinity monitoring site and bay and estuary group boundaries in the Gulf of Mexico Geospatial representations of salinity monitoring site and bay and estuary group boundaries in the Gulf of Mexico

The polygon datasets were created to assist in visualizing the results of salinity modeling in Gulf of Mexico estuaries and bays. Statistical algorithms (Asquith and others, 2023) were developed to predict daily salinities for 91 salinity monitoring sites (Rodgers and Swarzenski, 2019) operated by 7 agencies in near coastal United States waters of the Gulf of Mexico. These monitoring...

Bathymetric and supporting data for estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia Bathymetric and supporting data for estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia

Rockdale County Department of Water Resources (RCDWR) has a mission to update estimates of the reservoir storage capacity of Randy Poynter Lake in northern Georgia and to assess recent sedimentation. The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center (LMGWSC) collected bathymetric data from November 29, 2022 to December 4, 2022 in support of RCDWR’s mission...

RESTORE/makESTUSAL, Source code for construction of various statistical models and prediction of daily salinity in coastal regions of the Gulf of Mexico, United States RESTORE/makESTUSAL, Source code for construction of various statistical models and prediction of daily salinity in coastal regions of the Gulf of Mexico, United States

The RESTORE/makESTUSAL software repository contains R language source code that can be used for the construction of various statistical models and output time series of predicted daily salinity coastal regions of the Gulf of Mexico, United States. The source code is expansive, and the repository is organizationally deep following logical organization units. One major subsystem of the...

Simulation and comparison of five estimators of variability in units of standard deviation for small samples drawn from normally distributed data Simulation and comparison of five estimators of variability in units of standard deviation for small samples drawn from normally distributed data

It is convenient to measure or estimate variation in samples or distributions in units of standard deviations. There are alternative methods of estimation of standard deviation aside from the conventional and well-known definition. Estimation of standard deviation for very small samples (as small as two), whereas not always ideal, might be useful in certain practical circumstances. A...

Study of L-kurtosis and several distribution families for prediction of uncertainty distributions, An applied software technical note concerning L-kurtosis use in daily salinity prediction from multiple machine learning methods Study of L-kurtosis and several distribution families for prediction of uncertainty distributions, An applied software technical note concerning L-kurtosis use in daily salinity prediction from multiple machine learning methods

Statistical predictions that are based on multiple machine learning (MML) methods (from including differing training regimes) produce differing predictions. When the predictions are combined to a final estimate, then there are residuals of the predictions spread around the final estimate. It is common to assume normality or near-normality of the residuals (errors), but the assumption of...

Machine-learning model predictions and rasters of groundwater salinity in the Mississippi Alluvial Plain Machine-learning model predictions and rasters of groundwater salinity in the Mississippi Alluvial Plain

Groundwater from the Mississippi River Valley alluvial aquifer (MRVA), coincident with the Mississippi Alluvial Plain (MAP), is a vital resource for agriculture and drinking-water supplies in the central United States. Water availability can be limited in some areas of the aquifer by high concentrations of salinity, measured as specific conductance. Boosted regression trees (BRT), a type...

Pesticide concentration and related water-quality data for selected groundwater sites near areas of agricultural land use in Alabama, 2009-2020 Pesticide concentration and related water-quality data for selected groundwater sites near areas of agricultural land use in Alabama, 2009-2020

Data in this release were collected and computed to evaluate the occurrence of pesticides in shallow groundwater in the state of Alabama. Additionally, these data support interpretation in Gill (2023) for a cooperative project between the U.S. Geological Survey and the Alabama Department of Agriculture and Industries. During 2009-2020, samples were collected from twenty-four wells...

Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2022 Bridge-Site Study Data for Selected Highway Crossings in Mississippi, 2022

The U.S. Geological Survey (USGS) works closely with the Mississippi Department of Transportation (MDOT) to provide information to be used by the MDOT for design of highway-drainage structures. MDOT spends millions of dollars annually for highway construction. Streamflow records, hydrologic analyses of basins, and hydraulic analyses of flooding potential at proposed highway crossings...

Datasets for the 2015 potentiometric surface and water-level changes (2011-2013, 2013-2015) in the Sparta-Memphis aquifer, in Arkansas Datasets for the 2015 potentiometric surface and water-level changes (2011-2013, 2013-2015) in the Sparta-Memphis aquifer, in Arkansas

These datasets provide the locations of and groundwater-level altitudes from 273 wells that were used to construct a 2015 potentiometric contour surface of the Sparta-Memphis aquifer. Measurements were made from January through June 2015 and represent synoptic conditions. All wells were cased completely in and screened in the Sparta-Memphis aquifer. Groundwater-level data are also...

RESTORE/covESTUSAL, Source code for construction of covariates bound to daily salinity and specific conductance data for purposes of statistical modeling in coastal regions of the Gulf of Mexico, United States RESTORE/covESTUSAL, Source code for construction of covariates bound to daily salinity and specific conductance data for purposes of statistical modeling in coastal regions of the Gulf of Mexico, United States

The RESTORE/covESTUSAL software repository contains R language source code useful for the construction of input tables of daily salinity and specific conductance (response variables) from multi-agency monitoring stations and potential predictor variables (covariates) intended for reuse in statistical model construction in coastal regions of the Gulf of Mexico, United States. The source...
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