中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatiotemporal Variations and Influencing Factors of Terrestrial Evapotranspiration and Its Components during Different Impoundment Periods in the Three Gorges Reservoir Area

文献类型:期刊论文

作者Ji, Yongyue2,3,4; Tang, Qingqing2,3; Yan, Lingyun2,3; Wu, Shengjun2; Yan, Liming1; Tan, Daming5; Chen, Jilong2; Chen, Qiao2,4
刊名WATER
出版日期2021-08-01
卷号13期号:15页码:15
关键词evapotranspiration components climate change PML-V2 Three Gorges Reservoir
DOI10.3390/w13152111
通讯作者Chen, Jilong(chenjilong@cigit.ac.cn)
英文摘要Identifying the spatiotemporal variations and influencing climate factors of evapotranspiration (ET) and its components (vegetation transpiration (Ec), soil evaporation (Es), and canopy interception evaporation (Ei)) can greatly improve our understanding of water cycle, carbon cycle, and biogeochemical processes in a warming climate. As the world ' s largest hydropower project, the construction of the Three Gorges Project (TGP) coupled with the significant land use/land cover change affected the regional water and energy exchange in the Three Gorges Reservoir Area (TGRA). This study aimed to reveal the spatiotemporal variations and influencing climate factors in ET and its components using PML-V2 products in TGRA during 2000-2020. Results showed that the mean annual ET, Ec, Es, and Ei in TGRA were 585.12, 328.49, 173.07, and 83.56 mm, respectively. The temporal variation of ET was dominated by Ec, with no significant change in the time trend. Es decreased (2.92 mm/y) and Ei increased (1.66 mm/y) significantly mainly in the cultivated land. ET, Ec, and Ei showed a similar seasonal variation pattern with a single peak, while Es presented a bimodal pattern. From the pre-impoundment to the first impoundment period, ET and Ec mainly increased in the head of TGRA, meanwhile, Es in urban area increased significantly by 27.8%. In the subsequent impoundment periods, ET and Ec changed slightly while Es sharply decreased. The Ei increased persistently during different impoundment period. The dominant climate factors affecting changes in Ec and Es were air temperature, vapor pressure deficit, and sunshine hours, while the variation of Ei was mainly affected by air temperature, vapor pressure deficit, and precipitation.
资助项目Youth Innovation Promotion Association[2018417] ; Key Laboratory of Mine Geological Hazard Mechanism and Prevention and Control[201808] ; Science and Technology Project of Jingjiang Hydrology and Water Resources Survey Bureau[2020-01] ; National Natural Science Foundation of China[42061015] ; National Natural Science Foundation of China[51779241] ; National Natural Science Foundation of China[41901130]
WOS研究方向Environmental Sciences & Ecology ; Water Resources
语种英语
WOS记录号WOS:000682281300001
出版者MDPI
源URL[http://119.78.100.138/handle/2HOD01W0/13888]  
专题中国科学院重庆绿色智能技术研究院
通讯作者Chen, Jilong
作者单位1.Jingjiang Hydrol & Water Resources Survey Bur, Jingzhou 434099, Peoples R China
2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 401122, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Key Lab Mine Geol Hazard Mech & Prevent & Control, Xian 710054, Peoples R China
5.Tibet Acad Agr & Anim Husb Sci, Inst Agr Resources & Environm, Lhasa 850000, Peoples R China
推荐引用方式
GB/T 7714
Ji, Yongyue,Tang, Qingqing,Yan, Lingyun,et al. Spatiotemporal Variations and Influencing Factors of Terrestrial Evapotranspiration and Its Components during Different Impoundment Periods in the Three Gorges Reservoir Area[J]. WATER,2021,13(15):15.
APA Ji, Yongyue.,Tang, Qingqing.,Yan, Lingyun.,Wu, Shengjun.,Yan, Liming.,...&Chen, Qiao.(2021).Spatiotemporal Variations and Influencing Factors of Terrestrial Evapotranspiration and Its Components during Different Impoundment Periods in the Three Gorges Reservoir Area.WATER,13(15),15.
MLA Ji, Yongyue,et al."Spatiotemporal Variations and Influencing Factors of Terrestrial Evapotranspiration and Its Components during Different Impoundment Periods in the Three Gorges Reservoir Area".WATER 13.15(2021):15.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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