DOI: 10.1016/j.agrformet.2019.107844
论文题名: Spatio-temporal patterns of evapotranspiration based on upscaling eddy covariance measurements in the dryland of the North China Plain
作者: Fang B. ; Lei H. ; Zhang Y. ; Quan Q. ; Yang D.
刊名: Agricultural and Forest Meteorology
ISSN: 1681923
出版年: 2020
卷: 281 语种: 英语
英文关键词: Cropland
; Eddy covariance measurements
; Evapotranspiration
; North China Plain
; Spatio-temporal pattern
; Support vector regression
Scopus关键词: agricultural land
; air temperature
; climate change
; dryland farming
; eddy covariance
; evapotranspiration
; growing season
; hydrological cycle
; measurement method
; multiple regression
; spatial resolution
; spatiotemporal analysis
; support vector machine
; upscaling
; wheat
; China
; North China Plain
; Taihang Mountains
; Yellow River
; Triticum aestivum
; Zea mays
英文摘要: Accurate evapotranspiration (ET) estimation is important for understanding hydrological cycle and water resources management in the cropland. Based on eight flux sites within the North China Plain (NCP) and the surrounding area, which were integrated together for the first time, we applied support vector regression method to develop ET dataset for the cropland in NCP from 1982 to 2015 with 1/12° spatial resolution and eight-day temporal interval. The mean annual ET over cropland within NCP was 575 mm yr−1 with a non-significant increasing trend. In wheat season, the seasonal ET increased significantly at the rate of 1.28 mmyr−2 with a mean value of 238 mmyr−1; in maize season, the mean value of seasonal ET was 221 mmyr−1 with a decreasing trend of −0.95 mmyr−2. The comparatively high mean annual ET values occurred primarily in the well irrigated area near the Taihang Mountains, irrigation districts along the Yellow River and the humid region. The attribution analysis which combined multiple regression with the first difference method revealed that human activities dominated ET trend at annual scale as well as in wheat season, with relative contributions of 52% and 56%, respectively. While in maize season, ET trend was mostly controlled by climate change with relative contribution of 77%. Among the climate factors, in wheat season, the significantly increasing air temperature was the principal climatic cause of ET increase which was partly offset by the significantly decreasing wind speed; while in maize season, the significant ET decline was primarily resulted from the significantly decreasing net radiation and wind speed. Compared with our ET dataset, the four widely used global or national ET datasets significantly underestimated ET in wheat season, especially in the extensively irrigated areas, suggesting that local observations are crucial for regional studies. © 2019 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159282
Appears in Collections: 气候变化与战略
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作者单位: State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China; Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Science, Shijiazhuang, Hebei 050021, China; State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi'an University of Technology, Xi'an, Shanxi 710048, China
Recommended Citation:
Fang B.,Lei H.,Zhang Y.,et al. Spatio-temporal patterns of evapotranspiration based on upscaling eddy covariance measurements in the dryland of the North China Plain[J]. Agricultural and Forest Meteorology,2020-01-01,281