中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Study on crop coefficient of vegetation in cold and high-altitude regions based on lysimeter measurements

文献类型:期刊论文

作者Qu, Liuyan2,3; Li, Runjie1; Jia, Shaofeng4; Gao, Zhanyi3; Chen, Haorui3
刊名IRRIGATION SCIENCE
出版日期2026-03-18
卷号44期号:3页码:64
关键词Crop coefficient Lysimeter Evapotranspiration Machine Learning Sanjiangyuan
ISSN号0342-7188
DOI10.1007/s00271-026-01097-2
产权排序4
文献子类Article
英文摘要Crop coefficient (Kc) is a critical parameter for estimating the actual evapotranspiration of vegetation. To fill the gap in vegetation Kc in the Sanjiangyuan Region and improve their accuracy, this study determined monthly Kc for various typical vegetation types using lysimeter-measured data combined with the FAO-56 single crop coefficient method. A machine learning model was employed to simulate actual evapotranspiration for different vegetation types. Based on a long-term series of actual and potential evapotranspiration, monthly crop coefficient ranges were established for multiple vegetation types. The results indicate that similar vegetation types on the same underlying surface can share a standard crop coefficient for evapotranspiration estimation. In contrast, the same vegetation type on different surfaces exhibits slight variations in Kc. Kc should be considered as reference intervals rather than fixed values, as monthly Kc values vary across different vegetation types. The mean values of the measured Kc of alpine grasslands (including alpine desert steppe, alpine steppe, and alpine meadow) during the growing season (from May to October) were 0.55, 0.75, 1.03, 1.11, 0.98, and 0.64, respectively. For alpine shrubs, the mean values of their measured Kc in the growing season were 0.76, 0.90, 1.11, 1.00, 1.74, and 1.13, respectively.
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WOS关键词EVAPOTRANSPIRATION
WOS研究方向Agriculture ; Water Resources
语种英语
WOS记录号WOS:001717808700001
出版者SPRINGER
源URL[http://ir.igsnrr.ac.cn/handle/311030/221192]  
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Gao, Zhanyi
作者单位1.Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining 810016, Peoples R China;
2.Qinghai Normal Univ, Sch Geog Sci, Xining 810008, Peoples R China;
3.China Inst Water Resources & Hydropower Res, State Key Lab Water Cycle & Water Secur River Basi, Beijing 100048, Peoples R China;
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Qu, Liuyan,Li, Runjie,Jia, Shaofeng,et al. Study on crop coefficient of vegetation in cold and high-altitude regions based on lysimeter measurements[J]. IRRIGATION SCIENCE,2026,44(3):64.
APA Qu, Liuyan,Li, Runjie,Jia, Shaofeng,Gao, Zhanyi,&Chen, Haorui.(2026).Study on crop coefficient of vegetation in cold and high-altitude regions based on lysimeter measurements.IRRIGATION SCIENCE,44(3),64.
MLA Qu, Liuyan,et al."Study on crop coefficient of vegetation in cold and high-altitude regions based on lysimeter measurements".IRRIGATION SCIENCE 44.3(2026):64.

入库方式: OAI收割

来源:地理科学与资源研究所

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