DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Water Atlas Features Database

Abstract

Water availability was mapped across the United States and considers multiple sources of fresh water including fresh surface and groundwater, wastewater and brackish groundwater. This dataset includes cost estimates to access, treat and convey each unique source of water. This submission contains a zip file with the Water Atlas Features Database (as an ArcGIS geodatabase).

Authors:
;
  1. Sandia National Laboratories
Publication Date:
Other Number(s):
865e07cc-223b-4726-bc48-a14229ab903e
Research Org.:
National Energy Technology Laboratory - Energy Data eXchange; SNL-NM
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
Subject:
Availability; Brackish Groundwater; Consumptive-Use; Cost; Energy-Water; Groundwater; Metrics; Wastewater; Water
OSTI Identifier:
1756186
DOI:
https://doi.org/10.18141/1756186

Citation Formats

Tidwell, Vincent, and Jeffers, Rebecca. Water Atlas Features Database. United States: N. p., 2021. Web. doi:10.18141/1756186.
Tidwell, Vincent, & Jeffers, Rebecca. Water Atlas Features Database. United States. doi:https://doi.org/10.18141/1756186
Tidwell, Vincent, and Jeffers, Rebecca. 2021. "Water Atlas Features Database". United States. doi:https://doi.org/10.18141/1756186. https://www.osti.gov/servlets/purl/1756186. Pub date:Thu Jan 07 23:00:00 EST 2021
@article{osti_1756186,
title = {Water Atlas Features Database},
author = {Tidwell, Vincent and Jeffers, Rebecca},
abstractNote = {Water availability was mapped across the United States and considers multiple sources of fresh water including fresh surface and groundwater, wastewater and brackish groundwater. This dataset includes cost estimates to access, treat and convey each unique source of water. This submission contains a zip file with the Water Atlas Features Database (as an ArcGIS geodatabase).},
doi = {10.18141/1756186},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 07 23:00:00 EST 2021},
month = {Thu Jan 07 23:00:00 EST 2021}
}