中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Projected impacts of climate change on global irrigation water withdrawals

文献类型:期刊论文

作者Haile, Gebremedhin Gebremeskel5,6; Tang, Qiuhong2,5; Reda, Kidane Welde4,7; Baniya, Binod3; He, Li2,5; Wang, Yongdong4; Gebrechorkos, Solomon Hailu1,8
刊名AGRICULTURAL WATER MANAGEMENT
出版日期2024-12-01
卷号305页码:109144
关键词Anomaly change Irrigation water withdrawal Shared Socioeconomic Scenarios Spatiotemporal Climate change
ISSN号0378-3774
DOI10.1016/j.agwat.2024.109144
产权排序2
文献子类Article
英文摘要Investigating processes causing water resource depletion risks is key to understanding past, present, and future excessive irrigation water withdrawal. Quantitative spatiotemporal analysis of the factors driving excessive irrigation water withdrawal is currently inadequate. Although multiple drivers typically contribute to this risk, we studied, for the first time, whether and how Actual Irrigation Water Withdrawals (AIWW) could affect global future water resources projection. Here, we used AIWW datasets from five CMIP6 climate models based on two Shared Socioeconomic Scenarios (SSP370 and 585) and a global hydrological model (H08) to compare the historical (1981-2014) with the future periods: 2041-2070 and 2071-2100. Results show that the temporal AIWW average variations have shown a statistically significant increase during 1981-2014 (p<0.05 and R-2 = 0.98) ranging from 101.82 to 136.24 mm yr(-1) (mean = 120.5 mm yr(-1)). Under SSP370 and SSP585, the global spatial AIWW average during 2041-2070 and 2071-2100 are 142.55 and 145.55, and 144.91 and 149.74 mm yr(-1), respectively. Under SSP370 and SSP585, the average AIWW changes for 2041-2070 and 2071-2100 are projected to be 96.71, 97.55, 103.52, and 106.98 %, respectively. Under SSP370 and 585, the average global AIWW anomaly changes for 2041-2070 and 2071-2100 are also projected to be -96.86, -106.29, -97.72, and -111.48 %, respectively. Higher AIWW increases are mainly concentrated in India, South China, parts of the United States, parts of Europe, and parts of South African and Latin American countries. Substantiated with population increase, and higher food demand, an increased AIWW will further aggravate globally. Thus, exploring future AIWW changes is a key step forward that requires greater attention in irrigation research interventions helpful to inform societies to reduce future risks of water resource depletion. Adaptation policies targeting the future use of water for irrigation are crucial to lessen water resource depletion risk, suggesting the need for large-scale policy interventions.
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WOS关键词GROUNDWATER DEPLETION ; MODEL ; RESOURCES
WOS研究方向Agriculture ; Water Resources
语种英语
WOS记录号WOS:001391321700001
出版者ELSEVIER
源URL[http://ir.igsnrr.ac.cn/handle/311030/211293]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Tang, Qiuhong
作者单位1.Univ Oxford, Sch Geog & Environm, Oxford, England;
2.Univ Chinese Acad Sci, Beijing, Peoples R China;
3.Tribhuvan Univ, Inst Sci & Technol, Cent Dept Environm Sci, Kirtipur, Nepal;
4.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Natl Engn Technol Res Ctr Desert Oasis Ecol Constr, Urumqi, Peoples R China;
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China;
6.Wesleyan Univ, Dept Earth & Environm Sci, Middletown, CT USA;
7.Tigray Agr Res Inst, Mekelle, Tigray, Ethiopia;
8.Univ Southampton, Sch Geog & Environm Sci, Southampton SO17 1BJ, England
推荐引用方式
GB/T 7714
Haile, Gebremedhin Gebremeskel,Tang, Qiuhong,Reda, Kidane Welde,et al. Projected impacts of climate change on global irrigation water withdrawals[J]. AGRICULTURAL WATER MANAGEMENT,2024,305:109144.
APA Haile, Gebremedhin Gebremeskel.,Tang, Qiuhong.,Reda, Kidane Welde.,Baniya, Binod.,He, Li.,...&Gebrechorkos, Solomon Hailu.(2024).Projected impacts of climate change on global irrigation water withdrawals.AGRICULTURAL WATER MANAGEMENT,305,109144.
MLA Haile, Gebremedhin Gebremeskel,et al."Projected impacts of climate change on global irrigation water withdrawals".AGRICULTURAL WATER MANAGEMENT 305(2024):109144.

入库方式: OAI收割

来源:地理科学与资源研究所

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