Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Estimated Altitude of the Consolidated Rock Surface Underlying Quaternary Sediments of the Wood River Valley aquifer system, South-Central Idaho

Metadata Updated: June 19, 2024

This dataset is the estimated altitude of the consolidated rock surface underlying Quaternary sediment of the Wood River Valley aquifer system. This surface is composed of the top of pre-Quaternary bedrock and Quaternary basalt, Wood River Valley, south-central Idaho. This surface was constructed using the depth of bedrock from about 1,000 well-driller reports for boreholes and about 70 Horizontal-to-Vertical Spectral Ratio (HVSR) ambient-noise measurements of the Wood River Valley aquifer system, south-central Idaho. Bedrock depths were subtracted from the altitude of land surface obtained from the 2009 1-Arc Second National Elevation Dataset and the resulting points were used to construct an estimated bedrock surface altitude with hand-drawn 100-ft contour interval. These contours were then used to create a raster surface of the estimate altitude of the bedrock surface as described in the procstep section below. This dataset was created in support of the third phase of a continuing U.S. Geological Survey (USGS) study to assess the groundwater resources of the Wood River Valley, south-central Idaho. The first phase was documented in "Water-resource trends and comparisons between partial development and October 2006 hydrologic conditions, Wood River Valley, south-central Idaho" (Skinner and others, 2007), and the second phase was documented in "Ground-water budgets for the Wood River Valley aquifer system, south-central Idaho"(Bartolino, 2009). The third phase is a description of the hydrogeologic framework of the Wood River Valley aquifer system. The Wood River Valley contains most of the population of Blaine County and the cities of Sun Valley, Ketchum, Hailey, and Bellevue. This mountain valley is underlain by the alluvial Wood River Valley aquifer system. The entire population of the area depends on groundwater for domestic supply and rapid population growth since the 1970s has caused concern about the long-term sustainability of the groundwater resource.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date June 19, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 19, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/b20b7b0d57f66559b8b9875040955592
Identifier USGS:d0ee44cc-ee1a-4de3-86ba-ebc3ed2f5a69
Data Last Modified 20201117
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id b6783ae7-e8d1-4f60-9a76-0555de288283
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -114.586717,43.297082,-114.047675,43.80749
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash b0b1878ef099e2bbf994a358acfdb40838843544a69700157b5c2db8f408b578
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -114.586717, 43.297082, -114.586717, 43.80749, -114.047675, 43.80749, -114.047675, 43.297082, -114.586717, 43.297082}

Didn't find what you're looking for? Suggest a dataset here.