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Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures
Huang, Zhongwei1,2; Liu, Xingcai2; Sun, Siao2; Tang, Yin2; Yuan, Xing1; Tang, Qiuhong2,3
2021-08-20
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume783Pages:13
Corresponding AuthorTang, Qiuhong(tangqh@igsnrr.ac.cn)
AbstractWater scarcity has become a major threat to sustainable development under climate change. To reduce the population exposure to water scarcity and improve universal access to safe drinking water are important targets of the Sustainable Development Goal (SDG) 6 in the near future. This study aims to examine the potential of applying adaptive inner-basin water allocation measures (AIWAM), which were not explicitly considered in previous studies, for mitigating water scarcity in the future period (2020-2050). By incorporating AIWAM in water scarcity assessment, nonagricultural water uses are assumed to have high priority over agricultural water use and thus would receive more water supply. Results show that global water deficit is projected to be similar to 3241.9 km(3)/ yr in 2050, and severe water scarcity is mainly found in arid and semi-arid regions, e.g. Western US, Northern China, and the Middle East. Future warming climate and socioeconomic development tend to aggravate global water scarcity, particularly in Northern Africa, Central Asia, and the Middle East. The application of AIWAM could significantly mitigate water scarcity for nonagricultural sectors by leading to a decrease of global population subject to water scarcity by 12% in 2050 when compared to that without AIWAM. However, this is at the cost of reducing water availability for agricultural sector in the upstream areas, resulting in an increase of global irrigated cropland exposed to water scarcity by 6%. Nevertheless, AIWAM provides a useful scenario that helps design strategies for reducing future population exposure to water scarcity, particularly in densely populated basins and regions. Our findings highlight increasing water use competition across sectors between upstream and downstream areas, and the results provide useful information to develop adaptation strategies towards sustainable water management. (C) 2021 Elsevier B.V. All rights reserved.
KeywordWater scarcity Water deficit Adaptive measures Water allocation Water demand
DOI10.1016/j.scitotenv.2021.146973
WOS KeywordCLIMATE-CHANGE ; INTEGRATED ASSESSMENT ; HYDROLOGICAL SIMULATION ; SURFACE-WATER ; LAND-USE ; MODEL ; AVAILABILITY ; RESOURCES ; STRESS ; CHINA
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41790424] ; National Natural Science Foundation of China[41730645] ; National Natural Science Foundation of China[41425002] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20060402] ; General Subject of Colleges and Universities Natural Science Foundation of Jiangsu Province[20KJB170026] ; Newton Advanced Fellowships ; Startup Foundation for Introducing Talent of NUIST[2019r080] ; Startup Foundation for Introducing Talent of NUIST[2018r078]
Funding OrganizationNational Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; General Subject of Colleges and Universities Natural Science Foundation of Jiangsu Province ; Newton Advanced Fellowships ; Startup Foundation for Introducing Talent of NUIST
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000656998400004
PublisherELSEVIER
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/164032
Collection中国科学院地理科学与资源研究所
Corresponding AuthorTang, Qiuhong
Affiliation1.Nanjing Univ Informat Sci & Technol, Sch Hydrol & Water Resources, Nanjing, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Huang, Zhongwei,Liu, Xingcai,Sun, Siao,et al. Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,783:13.
APA Huang, Zhongwei,Liu, Xingcai,Sun, Siao,Tang, Yin,Yuan, Xing,&Tang, Qiuhong.(2021).Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures.SCIENCE OF THE TOTAL ENVIRONMENT,783,13.
MLA Huang, Zhongwei,et al."Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures".SCIENCE OF THE TOTAL ENVIRONMENT 783(2021):13.
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