Water Withdrawal and Consumption Data from McManamay et al. 2020 (in EN)
Abstract
This dataset contains estimations of water withdrawal and consumption (for electricity production only) at the county resolution on an annual time step from 1950 to 2016. Water withdrawal and consumption for electricity production are also provided at the electric generating unit resolution. Additionally, water use for irrigation was calculated at a daily time step. Data are associated with McManamay et al. 2020 in WRR.
- Authors:
-
- Baylor University; PNNL
- Publication Date:
- Other Number(s):
- Project ID: 59534; Instrument ID: 59534001; Upload ID: 1644
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Pacific Northwest National Laboratory 2; PNNL
- Sponsoring Org.:
- SC
- Subject:
- 13 HYDRO ENERGY; 54 ENVIRONMENTAL SCIENCES; Water use; county-level; crops; golf courses; hydropower; state-level
- OSTI Identifier:
- 1735756
- DOI:
- https://doi.org/10.25584/data.2020-12.1644/1735756
Citation Formats
McManamay, Ryan. Water Withdrawal and Consumption Data from McManamay et al. 2020. United States: N. p., 2020.
Web. doi:10.25584/data.2020-12.1644/1735756.
McManamay, Ryan. Water Withdrawal and Consumption Data from McManamay et al. 2020. United States. doi:https://doi.org/10.25584/data.2020-12.1644/1735756
McManamay, Ryan. 2020.
"Water Withdrawal and Consumption Data from McManamay et al. 2020". United States. doi:https://doi.org/10.25584/data.2020-12.1644/1735756. https://www.osti.gov/servlets/purl/1735756. Pub date:Tue Dec 15 04:00:00 UTC 2020
@article{osti_1735756,
title = {Water Withdrawal and Consumption Data from McManamay et al. 2020},
author = {McManamay, Ryan},
abstractNote = {This dataset contains estimations of water withdrawal and consumption (for electricity production only) at the county resolution on an annual time step from 1950 to 2016. Water withdrawal and consumption for electricity production are also provided at the electric generating unit resolution. Additionally, water use for irrigation was calculated at a daily time step. Data are associated with McManamay et al. 2020 in WRR.},
doi = {10.25584/data.2020-12.1644/1735756},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Dec 15 04:00:00 UTC 2020},
month = {Tue Dec 15 04:00:00 UTC 2020}
}
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