Recalculating Australian water scarcity characterisation factors using the AWARE method
Purpose Quantifying the impacts of water consumption on available water resources forms one of the core indicators of many life cycle assessments (LCAs). Methods for measuring this impact have been under development for over a decade, with the Available Water Remaining (AWARE) method being the curre...
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| Veröffentlicht in: | The international journal of life cycle assessment 2021-08, Vol.26 (8), p.1687-1701 |
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| creator | Bontinck, Paul-Antoine Grant, Tim Kaewmai, Roihatai Musikavong, Charongpun |
| description | Purpose
Quantifying the impacts of water consumption on available water resources forms one of the core indicators of many life cycle assessments (LCAs). Methods for measuring this impact have been under development for over a decade, with the Available Water Remaining (AWARE) method being the current consensus approach. Available characterisation factors rely on global databases, which are built from potentially inappropriate information. This analysis aims to develop AWARE factors specific to Australian basins using the most recent meteorological data and water consumption statistics available. Australian cotton cropping is used as a case study in the application of the newly developed characterisation factors, and a cotton-specific characterisation factor is developed.
Methods
The analysis involved the compilation of meteorological data quantifying water run-off and statistical data on domestic, industrial and agricultural water consumption. A geographical information system (GIS) software was used to map the information at the Australian basin level. The information was used to develop a set of monthly and annual characterisation factors for each basin and at the country level, using the AWARE method. All underpinning information is available in a public repository. A cotton-specific AWARE factor was calculated based on land cropped and average irrigation requirements over the past 10 years.
Results and discussion
Comparing the data collected for this analysis with the data underpinning the current AWARE factors revealed some significant disparities. Using up-to-date statistics suggests that irrigation water requirements are 72% lower than the value currently used in AWARE, and that the characterisation factor for Australia should be up to 35% lower than currently reported. Basin definition was reviewed to align with the Life Cycle Inventory work conducted in Australia as part of AusLCI, so that characterisation factors correspond to the elementary flows defined in the Australian database of inventories. The new breakdown provides more granularity in the Murray-Darling division, where two-thirds of Australian irrigation water is consumed. Using the updated data to develop a factor for cotton shows a 20% reduction against using the current factors.
Conclusions
The use of up-to-date water availability and consumption data for Australia would increase the robustness of the current AWARE impact assessment method for the region. All collected information wa |
| doi_str_mv | 10.1007/s11367-021-01952-8 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2560960066</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2560960066</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-3298630844ab264a4cec7b81116f51f075040f5abd189b86fbc3227c13a16e7a3</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMoWKt_wFPAczSTZLPJsZT6AQWhKD2GbJptt2x3a5JF_PemruDN0zDD884MD0K3QO-B0vIhAnBZEsqAUNAFI-oMTUCCIGVB2TmaUC0U4VzoS3QV455mkupigtYr72zrhtamptvi2RBTsG1jO_xpkw84Ohtck76w29lgXR41MaN9h-vc9SHiIZ6CaefxbD1bLfDBp12_uUYXtW2jv_mtU_T-uHibP5Pl69PLfLYkjoNOhDOtJKdKCFsxKaxw3pWVAgBZF1DT_L2gdWGrDShdKVlXjjNWOuAWpC8tn6K7ce8x9B-Dj8ns-yF0-aRhhaRaUiplpthIudDHGHxtjqE52PBlgJqTQDMKNFmL-RFoVA7xMRQz3G19-Fv9T-obyfdzOw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2560960066</pqid></control><display><type>article</type><title>Recalculating Australian water scarcity characterisation factors using the AWARE method</title><source>Springer Nature - Complete Springer Journals</source><creator>Bontinck, Paul-Antoine ; Grant, Tim ; Kaewmai, Roihatai ; Musikavong, Charongpun</creator><creatorcontrib>Bontinck, Paul-Antoine ; Grant, Tim ; Kaewmai, Roihatai ; Musikavong, Charongpun</creatorcontrib><description>Purpose
Quantifying the impacts of water consumption on available water resources forms one of the core indicators of many life cycle assessments (LCAs). Methods for measuring this impact have been under development for over a decade, with the Available Water Remaining (AWARE) method being the current consensus approach. Available characterisation factors rely on global databases, which are built from potentially inappropriate information. This analysis aims to develop AWARE factors specific to Australian basins using the most recent meteorological data and water consumption statistics available. Australian cotton cropping is used as a case study in the application of the newly developed characterisation factors, and a cotton-specific characterisation factor is developed.
Methods
The analysis involved the compilation of meteorological data quantifying water run-off and statistical data on domestic, industrial and agricultural water consumption. A geographical information system (GIS) software was used to map the information at the Australian basin level. The information was used to develop a set of monthly and annual characterisation factors for each basin and at the country level, using the AWARE method. All underpinning information is available in a public repository. A cotton-specific AWARE factor was calculated based on land cropped and average irrigation requirements over the past 10 years.
Results and discussion
Comparing the data collected for this analysis with the data underpinning the current AWARE factors revealed some significant disparities. Using up-to-date statistics suggests that irrigation water requirements are 72% lower than the value currently used in AWARE, and that the characterisation factor for Australia should be up to 35% lower than currently reported. Basin definition was reviewed to align with the Life Cycle Inventory work conducted in Australia as part of AusLCI, so that characterisation factors correspond to the elementary flows defined in the Australian database of inventories. The new breakdown provides more granularity in the Murray-Darling division, where two-thirds of Australian irrigation water is consumed. Using the updated data to develop a factor for cotton shows a 20% reduction against using the current factors.
Conclusions
The use of up-to-date water availability and consumption data for Australia would increase the robustness of the current AWARE impact assessment method for the region. All collected information was compiled to be easily updated for future iteration. The factors could be integrated in the global database of AWARE factors, though there may be inherent complexities in this process due to the variations in the geographical definitions of basins.</description><identifier>ISSN: 0948-3349</identifier><identifier>EISSN: 1614-7502</identifier><identifier>DOI: 10.1007/s11367-021-01952-8</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Basins ; Cotton ; Data analysis ; Earth and Environmental Science ; Environment ; Environmental Chemistry ; Environmental Economics ; Environmental Engineering/Biotechnology ; Geographic information systems ; Irrigation ; Irrigation requirements ; Irrigation water ; Life cycle analysis ; Life cycles ; Mathematical analysis ; Measurement methods ; Meteorological data ; Statistical analysis ; Water availability ; Water consumption ; Water requirements ; Water resources ; Water scarcity ; Water Use in Lca</subject><ispartof>The international journal of life cycle assessment, 2021-08, Vol.26 (8), p.1687-1701</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-3298630844ab264a4cec7b81116f51f075040f5abd189b86fbc3227c13a16e7a3</citedby><cites>FETCH-LOGICAL-c319t-3298630844ab264a4cec7b81116f51f075040f5abd189b86fbc3227c13a16e7a3</cites><orcidid>0000-0002-4072-1334</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11367-021-01952-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11367-021-01952-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Bontinck, Paul-Antoine</creatorcontrib><creatorcontrib>Grant, Tim</creatorcontrib><creatorcontrib>Kaewmai, Roihatai</creatorcontrib><creatorcontrib>Musikavong, Charongpun</creatorcontrib><title>Recalculating Australian water scarcity characterisation factors using the AWARE method</title><title>The international journal of life cycle assessment</title><addtitle>Int J Life Cycle Assess</addtitle><description>Purpose
Quantifying the impacts of water consumption on available water resources forms one of the core indicators of many life cycle assessments (LCAs). Methods for measuring this impact have been under development for over a decade, with the Available Water Remaining (AWARE) method being the current consensus approach. Available characterisation factors rely on global databases, which are built from potentially inappropriate information. This analysis aims to develop AWARE factors specific to Australian basins using the most recent meteorological data and water consumption statistics available. Australian cotton cropping is used as a case study in the application of the newly developed characterisation factors, and a cotton-specific characterisation factor is developed.
Methods
The analysis involved the compilation of meteorological data quantifying water run-off and statistical data on domestic, industrial and agricultural water consumption. A geographical information system (GIS) software was used to map the information at the Australian basin level. The information was used to develop a set of monthly and annual characterisation factors for each basin and at the country level, using the AWARE method. All underpinning information is available in a public repository. A cotton-specific AWARE factor was calculated based on land cropped and average irrigation requirements over the past 10 years.
Results and discussion
Comparing the data collected for this analysis with the data underpinning the current AWARE factors revealed some significant disparities. Using up-to-date statistics suggests that irrigation water requirements are 72% lower than the value currently used in AWARE, and that the characterisation factor for Australia should be up to 35% lower than currently reported. Basin definition was reviewed to align with the Life Cycle Inventory work conducted in Australia as part of AusLCI, so that characterisation factors correspond to the elementary flows defined in the Australian database of inventories. The new breakdown provides more granularity in the Murray-Darling division, where two-thirds of Australian irrigation water is consumed. Using the updated data to develop a factor for cotton shows a 20% reduction against using the current factors.
Conclusions
The use of up-to-date water availability and consumption data for Australia would increase the robustness of the current AWARE impact assessment method for the region. All collected information was compiled to be easily updated for future iteration. The factors could be integrated in the global database of AWARE factors, though there may be inherent complexities in this process due to the variations in the geographical definitions of basins.</description><subject>Basins</subject><subject>Cotton</subject><subject>Data analysis</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Economics</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Geographic information systems</subject><subject>Irrigation</subject><subject>Irrigation requirements</subject><subject>Irrigation water</subject><subject>Life cycle analysis</subject><subject>Life cycles</subject><subject>Mathematical analysis</subject><subject>Measurement methods</subject><subject>Meteorological data</subject><subject>Statistical analysis</subject><subject>Water availability</subject><subject>Water consumption</subject><subject>Water requirements</subject><subject>Water resources</subject><subject>Water scarcity</subject><subject>Water Use in Lca</subject><issn>0948-3349</issn><issn>1614-7502</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kE1LAzEQhoMoWKt_wFPAczSTZLPJsZT6AQWhKD2GbJptt2x3a5JF_PemruDN0zDD884MD0K3QO-B0vIhAnBZEsqAUNAFI-oMTUCCIGVB2TmaUC0U4VzoS3QV455mkupigtYr72zrhtamptvi2RBTsG1jO_xpkw84Ohtck76w29lgXR41MaN9h-vc9SHiIZ6CaefxbD1bLfDBp12_uUYXtW2jv_mtU_T-uHibP5Pl69PLfLYkjoNOhDOtJKdKCFsxKaxw3pWVAgBZF1DT_L2gdWGrDShdKVlXjjNWOuAWpC8tn6K7ce8x9B-Dj8ns-yF0-aRhhaRaUiplpthIudDHGHxtjqE52PBlgJqTQDMKNFmL-RFoVA7xMRQz3G19-Fv9T-obyfdzOw</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Bontinck, Paul-Antoine</creator><creator>Grant, Tim</creator><creator>Kaewmai, Roihatai</creator><creator>Musikavong, Charongpun</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TB</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-4072-1334</orcidid></search><sort><creationdate>20210801</creationdate><title>Recalculating Australian water scarcity characterisation factors using the AWARE method</title><author>Bontinck, Paul-Antoine ; Grant, Tim ; Kaewmai, Roihatai ; Musikavong, Charongpun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-3298630844ab264a4cec7b81116f51f075040f5abd189b86fbc3227c13a16e7a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Basins</topic><topic>Cotton</topic><topic>Data analysis</topic><topic>Earth and Environmental Science</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Economics</topic><topic>Environmental Engineering/Biotechnology</topic><topic>Geographic information systems</topic><topic>Irrigation</topic><topic>Irrigation requirements</topic><topic>Irrigation water</topic><topic>Life cycle analysis</topic><topic>Life cycles</topic><topic>Mathematical analysis</topic><topic>Measurement methods</topic><topic>Meteorological data</topic><topic>Statistical analysis</topic><topic>Water availability</topic><topic>Water consumption</topic><topic>Water requirements</topic><topic>Water resources</topic><topic>Water scarcity</topic><topic>Water Use in Lca</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bontinck, Paul-Antoine</creatorcontrib><creatorcontrib>Grant, Tim</creatorcontrib><creatorcontrib>Kaewmai, Roihatai</creatorcontrib><creatorcontrib>Musikavong, Charongpun</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>The international journal of life cycle assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bontinck, Paul-Antoine</au><au>Grant, Tim</au><au>Kaewmai, Roihatai</au><au>Musikavong, Charongpun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Recalculating Australian water scarcity characterisation factors using the AWARE method</atitle><jtitle>The international journal of life cycle assessment</jtitle><stitle>Int J Life Cycle Assess</stitle><date>2021-08-01</date><risdate>2021</risdate><volume>26</volume><issue>8</issue><spage>1687</spage><epage>1701</epage><pages>1687-1701</pages><issn>0948-3349</issn><eissn>1614-7502</eissn><abstract>Purpose
Quantifying the impacts of water consumption on available water resources forms one of the core indicators of many life cycle assessments (LCAs). Methods for measuring this impact have been under development for over a decade, with the Available Water Remaining (AWARE) method being the current consensus approach. Available characterisation factors rely on global databases, which are built from potentially inappropriate information. This analysis aims to develop AWARE factors specific to Australian basins using the most recent meteorological data and water consumption statistics available. Australian cotton cropping is used as a case study in the application of the newly developed characterisation factors, and a cotton-specific characterisation factor is developed.
Methods
The analysis involved the compilation of meteorological data quantifying water run-off and statistical data on domestic, industrial and agricultural water consumption. A geographical information system (GIS) software was used to map the information at the Australian basin level. The information was used to develop a set of monthly and annual characterisation factors for each basin and at the country level, using the AWARE method. All underpinning information is available in a public repository. A cotton-specific AWARE factor was calculated based on land cropped and average irrigation requirements over the past 10 years.
Results and discussion
Comparing the data collected for this analysis with the data underpinning the current AWARE factors revealed some significant disparities. Using up-to-date statistics suggests that irrigation water requirements are 72% lower than the value currently used in AWARE, and that the characterisation factor for Australia should be up to 35% lower than currently reported. Basin definition was reviewed to align with the Life Cycle Inventory work conducted in Australia as part of AusLCI, so that characterisation factors correspond to the elementary flows defined in the Australian database of inventories. The new breakdown provides more granularity in the Murray-Darling division, where two-thirds of Australian irrigation water is consumed. Using the updated data to develop a factor for cotton shows a 20% reduction against using the current factors.
Conclusions
The use of up-to-date water availability and consumption data for Australia would increase the robustness of the current AWARE impact assessment method for the region. All collected information was compiled to be easily updated for future iteration. The factors could be integrated in the global database of AWARE factors, though there may be inherent complexities in this process due to the variations in the geographical definitions of basins.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11367-021-01952-8</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-4072-1334</orcidid></addata></record> |
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| subjects | Basins Cotton Data analysis Earth and Environmental Science Environment Environmental Chemistry Environmental Economics Environmental Engineering/Biotechnology Geographic information systems Irrigation Irrigation requirements Irrigation water Life cycle analysis Life cycles Mathematical analysis Measurement methods Meteorological data Statistical analysis Water availability Water consumption Water requirements Water resources Water scarcity Water Use in Lca |
| title | Recalculating Australian water scarcity characterisation factors using the AWARE method |
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