Arid
DOI10.1029/2020WR029397
Improving the Scientific Understanding of the Paradox of Irrigation Efficiency: An Integrated Modeling Approach to Assessing Basin-Scale Irrigation Efficiency
Xiong, Rui; Zheng, Yi; Han, Feng; Tian, Yong
通讯作者Zheng, Y (corresponding author), Southern Univ Sci & Technol, State Environm Protect Key Lab Integrated Surface, Sch Environm Sci & Engn, Shenzhen, Peoples R China. ; Zheng, Y (corresponding author), Southern Univ Sci & Technol, Shenzhen Municipal Engn Lab Environm IoT Technol, Shenzhen, Guangdong, Peoples R China.
来源期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2021
卷号57期号:11
英文摘要Irrigation is vital for the sustainability of water-limited agricultural areas. However, higher irrigation efficiency (IE) rarely reduces irrigation water consumption, a paradox well noted in the real world. Resolving this paradox requires rigorous assessment of basin-scale IE, which remains rare. This study holistically analyzed basin-scale IE using the Zhangye Basin (ZB), a typical agricultural area in arid northwestern China, as the testbed. A new basin-scale IE index was proposed that factors in irrigation return flow and groundwater's direct contributions to crop evapotranspiration. A novel approach was also developed to calculate this new index based on integrated ecohydrological modeling. The major study findings for the ZB include the following. First, return flow accounts for approximately 13% of irrigation water, which creates a difference of 0.1 between the new basin-scale IE index and a traditional field-scale index. Second, although basin-scale IE has notable interannual fluctuation, its multiyear average shows stability, which may be dependent on the basin's physical characteristics. Third, basin-scale IE reflects large spatial heterogeneity and is influenced by the intensity of surface water-groundwater interaction. Finally, under the projected future climate, return flow in the ZB will be enhanced by 3.2% per decade, and basin-scale IE shows an increasing trend. Overall, rigorous evaluation of basin-scale IE is critical to making heterogeneous policies and developing adaptive management strategies under the changing climate. The integrated modeling approach developed in this study provides a methodological foundation for overcoming misunderstandings about the IE paradox and benefits the reform of the current IE policy agenda.
英文关键词irrigation efficiency ecohydrological modeling surface water-groundwater interaction endorheic river basin return flow HEIFLOW
类型Article
语种英语
开放获取类型hybrid
收录类别SCI-E
WOS记录号WOS:000723106900003
WOS关键词WATER-USE EFFICIENCY ; HEIHE RIVER-BASIN ; CLIMATE-CHANGE ; SURFACE-WATER ; RESIDENCE TIME ; GROUNDWATER ; IMPACTS ; FUTURE ; AGRICULTURE ; SIMULATION
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/373739
作者单位[Xiong, Rui; Zheng, Yi; Han, Feng; Tian, Yong] Southern Univ Sci & Technol, State Environm Protect Key Lab Integrated Surface, Sch Environm Sci & Engn, Shenzhen, Peoples R China; [Xiong, Rui] Hon Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China; [Zheng, Yi; Han, Feng; Tian, Yong] Southern Univ Sci & Technol, Shenzhen Municipal Engn Lab Environm IoT Technol, Shenzhen, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Xiong, Rui,Zheng, Yi,Han, Feng,et al. Improving the Scientific Understanding of the Paradox of Irrigation Efficiency: An Integrated Modeling Approach to Assessing Basin-Scale Irrigation Efficiency[J],2021,57(11).
APA Xiong, Rui,Zheng, Yi,Han, Feng,&Tian, Yong.(2021).Improving the Scientific Understanding of the Paradox of Irrigation Efficiency: An Integrated Modeling Approach to Assessing Basin-Scale Irrigation Efficiency.WATER RESOURCES RESEARCH,57(11).
MLA Xiong, Rui,et al."Improving the Scientific Understanding of the Paradox of Irrigation Efficiency: An Integrated Modeling Approach to Assessing Basin-Scale Irrigation Efficiency".WATER RESOURCES RESEARCH 57.11(2021).
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