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U.S. Indirect and Direct Potable Water Reuse Systems (2020)

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Collection of proposed, operating, demonstration, and pilot study potable reuse systems across the U.S. as of 2020. Information includes project name, location, augmentation type, capacity, year operational, treatment train, and source water type. References are included in this submission. As potable reuse facilities undergo expansions or upgrades, treatment trains and capacities are subject to change. Operational status may also change. Treatment trains listed are reported to the detail that the source provides. Type and doses of chemical post-treatment or chlorination is often not specified. Please see README section in spreadsheet for definitions of acronyms used.

Citation Formats

TY - DATA AB - Collection of proposed, operating, demonstration, and pilot study potable reuse systems across the U.S. as of 2020. Information includes project name, location, augmentation type, capacity, year operational, treatment train, and source water type. References are included in this submission. As potable reuse facilities undergo expansions or upgrades, treatment trains and capacities are subject to change. Operational status may also change. Treatment trains listed are reported to the detail that the source provides. Type and doses of chemical post-treatment or chlorination is often not specified. Please see README section in spreadsheet for definitions of acronyms used. AU - Sim, Alison A2 - Mauter, Meagan DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.7481/1787485 KW - NAWI KW - water treatment KW - water reuse KW - potable reuse KW - sourcewater KW - treatment KW - groundwater KW - ultrafiltration KW - UF KW - UV KW - AOP KW - advanced oxidation process KW - BAC KW - biologically active carbon KW - filtration KW - ion exchange KW - indirect KW - direct KW - membrane bioreactor KW - MBR KW - microfiltration KW - MF KW - RO KW - reverse osmosis KW - sequencing batch reactors KW - surface water KW - tertiary KW - secondary KW - raw wastewater KW - effluent KW - imported KW - wetland KW - treatment train LA - English DA - 2020/07/01 PY - 2020 PB - NAWI T1 - U.S. Indirect and Direct Potable Water Reuse Systems (2020) UR - https://doi.org/10.7481/1787485 ER -
Export Citation to RIS
Sim, Alison, and Meagan Mauter. U.S. Indirect and Direct Potable Water Reuse Systems (2020). NAWI, 1 July, 2020, NAWI. https://doi.org/10.7481/1787485.
Sim, A., & Mauter, M. (2020). U.S. Indirect and Direct Potable Water Reuse Systems (2020). [Data set]. NAWI. NAWI. https://doi.org/10.7481/1787485
Sim, Alison and Meagan Mauter. U.S. Indirect and Direct Potable Water Reuse Systems (2020). NAWI, July, 1, 2020. Distributed by NAWI. https://doi.org/10.7481/1787485
@misc{OEDI_Dataset_6464, title = {U.S. Indirect and Direct Potable Water Reuse Systems (2020)}, author = {Sim, Alison and Mauter, Meagan}, abstractNote = {Collection of proposed, operating, demonstration, and pilot study potable reuse systems across the U.S. as of 2020. Information includes project name, location, augmentation type, capacity, year operational, treatment train, and source water type. References are included in this submission. As potable reuse facilities undergo expansions or upgrades, treatment trains and capacities are subject to change. Operational status may also change. Treatment trains listed are reported to the detail that the source provides. Type and doses of chemical post-treatment or chlorination is often not specified. Please see README section in spreadsheet for definitions of acronyms used.}, url = {https://waterdams.nawihub.org/submissions/6}, year = {2020}, howpublished = {NAWI, NAWI, https://doi.org/10.7481/1787485}, note = {Accessed: 2025-05-03}, doi = {10.7481/1787485} }
https://dx.doi.org/10.7481/1787485

Details

Data from Jul 1, 2020

Last updated Feb 7, 2022

Submitted Oct 23, 2020

Organization

NAWI

Contact

Alison Sim

310.750.7061

Authors

Alison Sim

Stanford University

Meagan Mauter

NAWI

DOE Project Details

Project Name NAWI Integrated Data and Analysis

Project Lead Melissa Klembara

Project Number 36496

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