Skip to main content
U.S. flag

An official website of the United States government

This site is currently in beta, and your feedback is helping shape its ongoing development.

Digital data sets that describe aquifer characteristics of the alluvial and terrace deposits along the Beaver-North Canadian River from the panhandle to Canton Lake in northwestern Oklahoma

Published by U.S. Geological Survey | Department of the Interior | Metadata Last Checked: February 10, 2026 | Last Modified: 2020-11-17T00:00:00Z
This data set consists of digital polygons of a constant recharge value for the alluvial and terrace deposits along the Beaver-North Canadian River from the panhandle to Canton Lake in northwestern Oklahoma. Ground water in 830 square miles of the Quaternary-age alluvial and terrace aquifer is an important source of water for irrigation, industrial, municipal, stock, and domestic supplies. The aquifer consists of poorly sorted, fine to coarse, unconsolidated quartz sand with minor amounts of clay, silt, and basal gravel. The hydraulically connected alluvial and terrace deposits unconformably overlie the Tertiary-age Ogallala Formation and Permian-age formations. A recharge rate of 1 inch per year was estimated in the ground-water modeling report for the alluvial and terrace deposits and used in this data set. The recharge rate was estimated using a base-flow method and a monthly-water-balance method. The features in the data set representing boundaries along geological contacts were extracted from a published digital surficial geology data set based on a scale of 1:250,000. The geographic limits of the aquifer were digitized from a folded paper map, at a scale of 1:250,000 in the ground-water modeling report. Ground-water flow models are numerical representations that simplify and aggregate natural systems. Models are not unique; different combinations of aquifer characteristics may produce similar results. Therefore, values of recharge used in the model and presented in this data set are not precise, but are within a reasonable range when compared to independently collected data.

data.gov

An official website of the GSA's Technology Transformation Services

Looking for U.S. government information and services?
Visit USA.gov