This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
Historical and projected freshwater withdrawals and irrigation consumptive use for Arizona, 1896–2099
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Abstract
Sustainable water management needs spatially resolved withdrawal estimates, yet such data remain scarce worldwide. In Arizona, USA, decades of aquifer overdraft and Colorado River over-allocation have outpaced local withdrawal data, constraining policymaking. We present annual freshwater withdrawal and irrigation consumptive use estimates for Arizona at 2 km resolution over 1896–2099, partitioned by source (groundwater, surface water) and use (irrigation, non-irrigation). A machine learning model trained on flowmeter records (1984–2024) estimated total withdrawal, partitioned into eight withdrawal categories and three consumptive-use products. A stream capture index flags where groundwater withdrawal may deplete surface-water supplies. Because post-2026 Colorado River shortages are not yet set, projections are also provided under eight Central Arizona Project (CAP) shortage scenarios, up to a complete loss of CAP deliveries. Every product carries per-pixel uncertainty, and a well package disaggregates the predictions to ~170,000 registered consumptive wells. Outputs were validated against U.S. Geological Survey, Arizona Department of Water Resources, and CAP records. The dataset supports groundwater modeling, aquifer-depletion assessment, and water-resources planning in Arizona and its transboundary watersheds.
DOI
https://doi.org/10.31223/X56N63
Subjects
Earth Sciences, Hydrology
Keywords
Arizona, water use, groundwater withdrawal, surface water withdrawal, irrigation consumptive use, machine learning, uncertainty quantification, Colorado River shortage, stream capture, Google Earth Engine, climate projections, water rights, OpenET, Central Arizona Project, groundwater management, streamflow depletion
Dates
Published: 2026-10-12 09:14
Last Updated: 2026-10-12 09:14
License
CC BY Attribution 4.0 International
Additional Metadata
Data Availability:
The project source code and documentation are available at https://github.com/montimaj/az-hydro and archived on Zenodo along with the full data set (https://doi.org/10.5281/zenodo.19057935)
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Views: 65
Downloads: 19
Comment #350 Sayantan Majumdar @ 2026-10-12 11:51
Note on data availability (12 October 2026). Zenodo uploads are currently very slow due to maintenance. The Zenodo DOI will point to v1.1.0 for now. We will comment here when v1.2 is live on Zenodo.