2022
DOI: 10.1111/1752-1688.13004
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Water‐Use Data in the United States: Challenges and Future Directions

Abstract: To inform future decision-making regarding water supplies and uses, we must coordinate efforts to substantially improve our capacity to collect, model, and disseminate water-use data.

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Cited by 19 publications
(20 citation statements)
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References 24 publications
(24 reference statements)
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“…For each analysis, the most reliable publicly available data were used. The greatest source of potential error comes from combining data from multiple sources, different reporting years, different monitoring and collection methods, and different spatial and temporal scales, which are prevalent problems across state and national water use databases …”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…For each analysis, the most reliable publicly available data were used. The greatest source of potential error comes from combining data from multiple sources, different reporting years, different monitoring and collection methods, and different spatial and temporal scales, which are prevalent problems across state and national water use databases …”
Section: Resultsmentioning
confidence: 99%
“…The greatest source of potential error comes from combining data from multiple sources, different reporting years, different monitoring and collection methods, and different spatial and temporal scales, which are prevalent problems across state and national water use databases. 62 A HUC-12 scale is suitable for this analysis given data accessibility constraints, but water resource decisions are often made on a municipal or county scale where reclaimed water can be shared across watersheds. Using a hydrologic division may exclude opportunities for reuse between WWTPs in one watershed with water users in a neighboring watershed; this boundary problem occurs broadly in spatial analysis and could be potentially solved using finer-resolution location-specific data on water users.…”
Section: Data Challenges and Uncertaintymentioning
confidence: 99%
“…More complex models require more knowledge of the system and more computational power. Given the intention of this study to evaluate sensitivity of hydrological signatures to streamflow depletion rather than accurately reflect real aquifer conditions and groundwater use (which are in general mostly unknown ;Foster et al, 2020;Marston et al, 2022), we modelled streamflow depletion using the Glover and Balmer (1954) analytical solution, hereafter referred to as the Glover model. The Glover model has low input data requirements and widespread past application including evaluation through comparisons to other analytical and numerical models (Flores et al, 2020;Li et al, 2020Li et al, , 2022Sophocleous et al, 1995;Zipper et al, 2019;Zipper, Gleeson, et al, 2021).…”
Section: Streamflow Depletion Modelmentioning
confidence: 99%
“…However, water use has not yet been explicitly addressed. Withdrawal estimates for various use types (domestic, irrigation, livestock, aquaculture, industrial, mining, and thermoelectric power) have been available at 5‐year intervals and the state level (Dieter et al, 2018), but improved spatial and temporal resolution of water use information (Evenson et al, 2018; Marston et al, 2022) could be used to help discern the impacts of interrelated climate and human water use drivers on surface and groundwater quantity trends.…”
Section: Gaps and Potential Solutionsmentioning
confidence: 99%