Data

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

A bathymetric survey of Blue Mountain Lake, Arkansas, was conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December 2010 for the U.S.

Heavy rainfall occurred across Louisiana, Texas, Arkansas, and Mississippi in March, 2016 as a result of a slow-moving southward dip in the jet stream funneling tropical moisture into parts of the Gulf Coastal States and the Mississippi River Valley. The storm caused major flooding in the northwestern and southeastern portions of Louisiana and in eastern Texas. Flooding also occurred in the Missi

This data release consists of two different datasets, waterborne resistivity profiling data and water quality data collected during profiling. In fresh water aquifers, the geoelectric resistivity of earth materials commonly has a positive correlation with hydraulic conductivity. In June 2016, continuous resistivity profiling data were collected, as a proxy for streambed hydraulic conductivity,

In 2013, water-quality and age-date tracer samples were collected at wells located along two flow paths in the Memphis aquifer, southwest Tennessee, as part of the National Water Quality Assessment (NAWQA) Project of the National Water-Quality Program to better understand the vulnerability of the aquifer to contamination.. Each flow path began in the aquifer outcrop area (shallow well depths) and

A bathymetric survey of Norfork Lake, Arkansas-Missouri, was conducted in September-October, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee (2013) and Huizinga (2016). Data from the bathymetric survey were merged with data collected during a March 2008 aerial LiDAR surv

A bathymetric survey of DeQueen Lake, Sevier County, Arkansas was conducted in July, 2015, by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for multi-beam sonar surveys similar to those described by Lee, K.G. (2013) and Huizinga (2016). Data from the bathymetric survey were merged with data from an aerial LiDAR survey conducted in March, 2

This data release provides the data and R scripts used for the 2017 submitted publication titled "Improving predictions of hydrological low-flow indices in ungaged basins using machine learning". There are two .csv files and 14 R-scripts included below. The lowflow_sc_ga_al_gagesII_2015.csv datafile contains the annual minimum seven-day mean streamflow with an annual exceedance probability of 90%