Water Resources of Arkansas
Water Resources of ArkansasWelcome to the USGS Web page that provides access to water resources information for Arkansas; this is your direct link to Arkansas water-resources data--quantity and quality of ground water, quantity and quality of surface water, and water use. You'll also find information about USGS publications and investigations conducted by the USGS and its cooperators. Real-Time Data in ArkansasArkansas Water Resources InformationThe USGS in Arkansas collects a wide variety of water resource information at numerous locations all across Arkansas. These types of data include surface water quality, quantity, groundwater quality and water levels as well as various types of water use information. We are committed to making all of these data available to the public in an easily obtainable format through the use of automated retrieval processes. From the weblink above, users can easily obtain water quality information, perform rating curve retrievals, access StreamStats and much more. Additionally, information regarding applicable USGS publications and investigations conducted by the USGS here in Arkansas are also available.Featured Science
PublicationsTWRI Chapter A10USGS NFM - Chapter A10. Lakes and Reservoirs: Guidelines for Study Design and Sampling W. Reed Green, Dale M. Robertson, and Franceska D. Wilde Data release Ozark Plateaus seepage run dataset, southern Missouri and northern Arkansas, 1982-2006 Knierim, K.J., Wagner, D.M., Roland, V., and Nottmeier, A.M SIR 2015-5044 Lithology, Hydrologic Characteristics, and Water Quality of the Arkansas River Valley Alluvial Aquifer in the Vicinity of Van Buren, Arkansas Timothy M. Kresse, Drew A. Westerman, and Rheannon M. Hart SIR 2015-5031 Dry Season Mean Monthly Flow and Harmonic Mean Flow Regression Equations for Selected Ungaged Basins in Arkansas Brian K. Breaker DOI Article 10.1002/2014WR016382 Assessment of surface water chloride and conductivity trends in areas of unconventional oil and gas development--Why existing national data sets cannot tell us what we would like to know Zachary H. Bowen, Gretchen P. Oelsner, Brian S. Cade, Tanya J. Gallegos, Aida M. Farag, David N. Mott, Christopher J. Potter, Peter J. Cinotto, Melanie L. Clark, William M. Kappel, Timothy M. Kresse, Cynthia P. Melcher, Suzanne S. Paschke, David D. Susong, Brian A. Varela |