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Evapotranspiration partitioning by integrating eddy covariance, micro-lysimeter and unmanned aerial vehicle observations: A case study in the North China Plain

文献类型：期刊论文

作者Bian, Jiang1; Hu, Xiaolong1; Shi, Liangsheng1; Min, Leilei2,3; Zhang, Yucui2,3; Shen, Yanjun2,3,4; Zhao, Fenghua5; Zha, Yuanyuan1; Lian, Xie1; Huang, Jiesheng1
刊名AGRICULTURAL WATER MANAGEMENT
出版日期2024-04-30
卷号295页码:19
关键词High-resolution images Multi-objective optimization Shuttleworth-Wallace model Flux footprint
ISSN号0378-3774
DOI10.1016/j.agwat.2024.108735
通讯作者Shi, Liangsheng(liangshs@whu.edu.cn)
英文摘要Partitioning of evapotranspiration (ET) into soil evaporation (E) and plant transpiration (T) poses a significant challenge. This study proposed a novel approach that combines eddy covariance, micro-lysimeter, and highresolution unmanned aerial vehicle (UAV) images within the flux footprint to optimize the canopy and soil resistances of the Shuttleworth-Wallace model (S-W) using a multi-objective optimization scheme. A two-year experiment was conducted at the Yucheng and Luancheng sites to investigate the effectiveness of the proposed method for the summer maize-wheat winter system in the North China Plain. Our results showed that the S-W model with multi-objective optimization by using high-resolution UAV images within the flux footprint significantly improved the estimation accuracy of ET components compared with the traditional one- and twoobjective optimization schemes. The estimation of ET, T, and E of our method had an average root mean square error of 0.67 mm day(-1), 0.66 mm day(-1), and 0.28 mm day(-1), respectively. The optimized S-W model using highresolution UAV data within the flux footprint produced better ET partitioning than that optimized using Moderate Resolution Imaging Spectroradiometer (MODIS) data. We then applied the proposed method to estimate ET and ET components in the North China Plain. This study highlighted the importance of utilizing multi-source data (especially high-resolution UAV images) and multi-objective optimization for accurate ET partitioning.
WOS关键词SOIL EVAPORATION ; WINTER-WHEAT ; STABLE-ISOTOPES ; ENERGY-BALANCE ; 2-SOURCE MODEL ; PLANT TRANSPIRATION ; SURFACE CONDUCTANCE ; CROP TRANSPIRATION ; WATER-CONSUMPTION ; FLUXES
资助项目National Natural Science Foundation of China[U2243235] ; National Natural Science Foundation of China[52179038] ; Fundamental Research Funds for the Central Universities[2042022kf1051]
WOS研究方向Agriculture ; Water Resources
语种英语
WOS记录号WOS:001202890600001
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities
源URL[http://ir.igsnrr.ac.cn/handle/311030/204650]  
专题中国科学院地理科学与资源研究所
通讯作者Shi, Liangsheng
作者单位1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Genet & Dev Biol, Ctr Agr Resources Res, Key Lab Agr Water Resources,Hebei Key Lab Water Sa, Shijiazhuang 050021, Peoples R China
3.Chinese Acad Sci, Innovat Acad Seed Design, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Sch Adv Agr Sci, Beijing 100049, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Bian, Jiang,Hu, Xiaolong,Shi, Liangsheng,et al. Evapotranspiration partitioning by integrating eddy covariance, micro-lysimeter and unmanned aerial vehicle observations: A case study in the North China Plain[J]. AGRICULTURAL WATER MANAGEMENT,2024,295:19.
APA Bian, Jiang.,Hu, Xiaolong.,Shi, Liangsheng.,Min, Leilei.,Zhang, Yucui.,...&Huang, Jiesheng.(2024).Evapotranspiration partitioning by integrating eddy covariance, micro-lysimeter and unmanned aerial vehicle observations: A case study in the North China Plain.AGRICULTURAL WATER MANAGEMENT,295,19.
MLA Bian, Jiang,et al."Evapotranspiration partitioning by integrating eddy covariance, micro-lysimeter and unmanned aerial vehicle observations: A case study in the North China Plain".AGRICULTURAL WATER MANAGEMENT 295(2024):19.

入库方式： OAI收割

来源：地理科学与资源研究所

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