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Estimation of Reference Crop Evapotranspiration in Northwest China

Received: 29 February 2020     Accepted: 17 March 2020     Published: 14 May 2020
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Abstract

Based on the daily meteorological data from 1956 to 2011 in Northwest (NW) China and the Penman-Monteith (PM) equation, the regional reference crop evapotranspiration (ET0) is estimated. The ET0 variations in time series and spatial distributions are analyzed. The trend analysis, Mann-Kendall (M-K) test, wavelet analysis, stepwise regression and EOF analysis methods are used to investigate the spatiotemporal variability of ET0 and its contributing climatic factors, the mutation of ET0, the period of ET0, and the main influencing meteorological factors, respectively. Major conclusions are obtained as follows: (1) In the past 56 years, the trend of average annual ET0 time series in the NW China is significantly reduced, the differences exists in different seasons, i.e., the trends of ET0 in spring (-0.26mm/a), summer (-0.72mm/a) and autumn (-0.31mm/a) are decreased, respectively, the ET0 in winter is slowly increased (0.02mm/a). (2) The region which ET0 decreased most is located at the field from Kumul to Hotan (from northeast to southwest). ET0 has a sharply decrease around the 1980s, with a multiple-time scale nesting complex structure in the period. The first, second and third EOF models account 36.84%, 13.87% and 9.04% for the explained variance, respectively. The summer EOF model is the main contributor to the annual first model. (3) The upward trend of mean surface air temperature (T) and the decreased trend of sunshine duration (SD), relative humidity (RH) and wind speed at 2 m high (U2) induce ET0 to decline. The variability of annual ET0 rate is most influenced by the variations of U2, followed by SD, RH and T, which is influenced by various climatic variables. The investigation of spatiotemporal variability of ET0 and its contributor meteorological factors may help us better understand how ET0 responds to regional climate change.

Published in Earth Sciences (Volume 9, Issue 3)

This article belongs to the Special Issue Recent Advances in Hydrological Cycle Process: Evaporation and Precipitation

DOI 10.11648/j.earth.20200903.11
Page(s) 89-99
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Climate Change, Penman-Monteith (PM) Model, Reference Crop Evapotranspiration (ET0), Northwest China, EOF Analysis

References
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Cite This Article
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    Biao Wang, Xinmin Zeng, Gang Huang. (2020). Estimation of Reference Crop Evapotranspiration in Northwest China. Earth Sciences, 9(3), 89-99. https://doi.org/10.11648/j.earth.20200903.11

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    ACS Style

    Biao Wang; Xinmin Zeng; Gang Huang. Estimation of Reference Crop Evapotranspiration in Northwest China. Earth Sci. 2020, 9(3), 89-99. doi: 10.11648/j.earth.20200903.11

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    AMA Style

    Biao Wang, Xinmin Zeng, Gang Huang. Estimation of Reference Crop Evapotranspiration in Northwest China. Earth Sci. 2020;9(3):89-99. doi: 10.11648/j.earth.20200903.11

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  • @article{10.11648/j.earth.20200903.11,
      author = {Biao Wang and Xinmin Zeng and Gang Huang},
      title = {Estimation of Reference Crop Evapotranspiration in Northwest China},
      journal = {Earth Sciences},
      volume = {9},
      number = {3},
      pages = {89-99},
      doi = {10.11648/j.earth.20200903.11},
      url = {https://doi.org/10.11648/j.earth.20200903.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20200903.11},
      abstract = {Based on the daily meteorological data from 1956 to 2011 in Northwest (NW) China and the Penman-Monteith (PM) equation, the regional reference crop evapotranspiration (ET0) is estimated. The ET0 variations in time series and spatial distributions are analyzed. The trend analysis, Mann-Kendall (M-K) test, wavelet analysis, stepwise regression and EOF analysis methods are used to investigate the spatiotemporal variability of ET0 and its contributing climatic factors, the mutation of ET0, the period of ET0, and the main influencing meteorological factors, respectively. Major conclusions are obtained as follows: (1) In the past 56 years, the trend of average annual ET0 time series in the NW China is significantly reduced, the differences exists in different seasons, i.e., the trends of ET0 in spring (-0.26mm/a), summer (-0.72mm/a) and autumn (-0.31mm/a) are decreased, respectively, the ET0 in winter is slowly increased (0.02mm/a). (2) The region which ET0 decreased most is located at the field from Kumul to Hotan (from northeast to southwest). ET0 has a sharply decrease around the 1980s, with a multiple-time scale nesting complex structure in the period. The first, second and third EOF models account 36.84%, 13.87% and 9.04% for the explained variance, respectively. The summer EOF model is the main contributor to the annual first model. (3) The upward trend of mean surface air temperature (T) and the decreased trend of sunshine duration (SD), relative humidity (RH) and wind speed at 2 m high (U2) induce ET0 to decline. The variability of annual ET0 rate is most influenced by the variations of U2, followed by SD, RH and T, which is influenced by various climatic variables. The investigation of spatiotemporal variability of ET0 and its contributor meteorological factors may help us better understand how ET0 responds to regional climate change.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Estimation of Reference Crop Evapotranspiration in Northwest China
    AU  - Biao Wang
    AU  - Xinmin Zeng
    AU  - Gang Huang
    Y1  - 2020/05/14
    PY  - 2020
    N1  - https://doi.org/10.11648/j.earth.20200903.11
    DO  - 10.11648/j.earth.20200903.11
    T2  - Earth Sciences
    JF  - Earth Sciences
    JO  - Earth Sciences
    SP  - 89
    EP  - 99
    PB  - Science Publishing Group
    SN  - 2328-5982
    UR  - https://doi.org/10.11648/j.earth.20200903.11
    AB  - Based on the daily meteorological data from 1956 to 2011 in Northwest (NW) China and the Penman-Monteith (PM) equation, the regional reference crop evapotranspiration (ET0) is estimated. The ET0 variations in time series and spatial distributions are analyzed. The trend analysis, Mann-Kendall (M-K) test, wavelet analysis, stepwise regression and EOF analysis methods are used to investigate the spatiotemporal variability of ET0 and its contributing climatic factors, the mutation of ET0, the period of ET0, and the main influencing meteorological factors, respectively. Major conclusions are obtained as follows: (1) In the past 56 years, the trend of average annual ET0 time series in the NW China is significantly reduced, the differences exists in different seasons, i.e., the trends of ET0 in spring (-0.26mm/a), summer (-0.72mm/a) and autumn (-0.31mm/a) are decreased, respectively, the ET0 in winter is slowly increased (0.02mm/a). (2) The region which ET0 decreased most is located at the field from Kumul to Hotan (from northeast to southwest). ET0 has a sharply decrease around the 1980s, with a multiple-time scale nesting complex structure in the period. The first, second and third EOF models account 36.84%, 13.87% and 9.04% for the explained variance, respectively. The summer EOF model is the main contributor to the annual first model. (3) The upward trend of mean surface air temperature (T) and the decreased trend of sunshine duration (SD), relative humidity (RH) and wind speed at 2 m high (U2) induce ET0 to decline. The variability of annual ET0 rate is most influenced by the variations of U2, followed by SD, RH and T, which is influenced by various climatic variables. The investigation of spatiotemporal variability of ET0 and its contributor meteorological factors may help us better understand how ET0 responds to regional climate change.
    VL  - 9
    IS  - 3
    ER  - 

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Author Information
  • Key Laboratory for Mesoscale Serve Weather of Ministry of Education, Nanjing University, Nanjing, China

  • College of Oceanography, Hohai University, Nanjing, China

  • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Chinese Academy of Sciences, Beijing, China

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