Improving regional water scarcity footprint characterization factors of an available water remaining (AWARE) method
Open accessAbstract
Increasing water demand and decreasing freshwater availability in an area can cause water scarcity leading to damage to human health, ecosystem quality, and natural resources. Many countries around the world, including Thailand, have recognized the importance of this problem. The available water remaining (AWARE) characterization model provides water scarcity footprint characterization factors (WSF CFs) for assessing the WSF of products. AWARE CFs were prepared from WaterGAP model's data and are available in watershed and country levels. They were not provided for specific areas and could not accurately explain water scarcity situations in certain regions, potentially leading to inappropriate water management. This work calculates the annual and monthly local CFs from local data in the Chao Phraya watershed in Thailand. The monthly local CFs with local environmental water requirement (EWR) calculations ranged from 0.10 to 100. The mean difference between AWARE CFs and local CFs was statistically significant. The most sensitive parameters for local CFs in the dry season were water availability (WA) and agricultural water consumption and that in the wet season was WA. The weighting of AWARE CFs by each type of water consumption and an aggregate of AWARE CFs for product production has been recommended for WSF assessment. The AWARE methodology was modified to assess the individual water scarcity of each water user based on the order of priority. For the Chao Phraya watershed, the ranges of the monthly local individual CFs using local EWR calculations of domestic, environment, livestock, agriculture, and industry were 0.10-0.33, 0.10-0.37, 0.10-0.37, 0.10-100, and 0.10-100, respectively. This assessment of individual water scarcity is helpful for prioritizing the level and timing of water use to minimize their impacts on critical water scarcity.
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Current water use assessment methods in LCA have problems accurately reflecting local conditions.
“These include the ability to accurately reflect local conditions (Northey et al., 2018;Kaewmai et al., 2019;Andrade et al., 2020;Sanchez-Matos et al., 2023);”
From Life cycle assessment and water use impacts of lithium production from salar deposits: Challenges and opportunities (2024) · cites this paper as Kaewmai et al., 2019
AWARE is valuable for assessing and comparing projects in a global context, but its underlying models have limited resolution so may not accurately reflect local fresh water scarcity and impacts.
“AWARE is valuable for assessing and comparing projects in a global context, but underlying models have a limited resolution so may not accurately reflect local fresh water scarcity and impacts (Northey et al., 2018;Kaewmai et al., 2019;Andrade et al., 2020;Sanchez-Matos et al., 2023).”
From Life cycle assessment and water use impacts of lithium production from salar deposits: Challenges and opportunities (2024) · cites this paper as Kaewmai et al., 2019
Studies have modified AWARE input data, and sometimes calculations, to better reflect local conditions and potential impacts.
“Studies have been conducted that modify AWARE input data, and sometimes calculations, to better reflect local conditions and potential impacts (Ansorge and Beránková, 2017;Kaewmai et al., 2019;Andrade et al., 2020;Sanchez-Matos et al., 2023).”
From Life cycle assessment and water use impacts of lithium production from salar deposits: Challenges and opportunities (2024) · cites this paper as Kaewmai et al., 2019
Kaewmai et al. (2019) found the mean difference between AWARE CFs and their local CFs to be statistically significant.
“They found the mean difference between AWARE CFs and their local CFs to be statistically significant.”
From Life cycle assessment and water use impacts of lithium production from salar deposits: Challenges and opportunities (2024) · cites this paper as Kaewmai et al. (2019)
Prioritisation of users introduces subjectivity.
“Additionally, prioritisation of users (Kaewmai et al., 2019), which could provide valuable insights, is not without issue as it introduces subjectivity.”
From Life cycle assessment and water use impacts of lithium production from salar deposits: Challenges and opportunities (2024) · cites this paper as Kaewmai et al., 2019
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References 25 · Cited by 30
- Authors
- Kaewmai, R., Grant, T., Eady, S., Mungkalasiri, J., & Musikavong, C.
- Affiliations
- Prince of Songkla University (TH)
- National Science and Technology Development Agency (TH)
- Corresponding author
- Musikavong, Charongpun
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 681
- Pages
- 444-455
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2943971719
- Cited by
- 30
- References
- 25
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 8 · 2023: 2 · 2022: 1 · 2021: 6 · 2020: 3
- FWCI
- 1.06
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 629 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- The Science of The Total Environment (acceptedVersion)
- PubMed (publishedVersion)
- Funders
- Commonwealth Scientific and Industrial Research Organisation
- Thailand Research Fund (PHD/0090/2556)
- Prince of Songkla University
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
- Physical Sciences › Environmental Science › Water Science and Technology › Water Resources and Sustainability
- Physical Sciences › Engineering › Ocean Engineering › Water resources management and optimization
- Keywords
- water scarcity footprint, characterization factors, environmental water requirements, water availability, agricultural water use, water use prioritization, WaterGAP, seasonal water scarcity, water management
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