Quantifying uncertainty for AWARE characterization factors
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Uncertainty with AWARE data varies significantly and tends to be more substantial in regions of higher scarcity, common in the Lithium Triangle.
“Uncertainty with AWARE data varies significantly and tends to be more substantial in regions of higher scarcity (Boulay et al., 2021), common in the Lithium Triangle (Fig. 1).”
From Life cycle assessment and water use impacts of lithium production from salar deposits: Challenges and opportunities (2024) · cites this paper as Boulay et al., 2021
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Halkes, R. T., Hughes, A., Wall, F., Petavratzi, E., Pell, R., & Lindsay, J. J. (2024) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2024.107554 · Cited by 61 · see citing works
- Authors
- Boulay, A., Lesage, P., Amor, B., & Pfister, S.
- Affiliations
- CIRAIG (CA)
- Université de Sherbrooke (CA)
- ETH Zurich (CH)
- Corresponding author
- Boulay, Anne‐Marie
- Venue
- Journal of Industrial Ecology
- Published
- 2021-07-23
- Volume
- 25
- Issue
- 6
- Pages
- 1588-1601
- ISSN
- 1088-1980 (ISSN-L)
- 1530-9290
- OpenAlex
- W3185620547
- Cited by
- 29
- References
- 33
- Citations by year
- 2026: 9 · 2025: 4 · 2024: 10 · 2023: 1 · 2022: 5
- FWCI
- 1.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Industrial Ecology (publishedVersion)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Physical Sciences › Engineering › Ocean Engineering › Water resources management and optimization
- Physical Sciences › Environmental Science › Water Science and Technology › Water Resources and Sustainability
- Keywords
- water scarcity, characterization factors, uncertainty quantification, dispersion analysis, lognormal distribution, global hydrological models, precipitation uncertainty, water availability, impact assessment, spatiotemporal variation
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