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Estimating the Temporal and Spatial Variations in Evapotranspiration with a Nonlinear Evaporation Complementary Relationship Model in Hyper-arid Areas

Author

Listed:
  • Liu Yunfei

    (Chinese Academy of Sciences
    Cele National Station of Observation and Research for Desert-Grassland Ecosystems
    University of Chinese Academy of Sciences)

  • Gui Dongwei

    (Chinese Academy of Sciences
    Cele National Station of Observation and Research for Desert-Grassland Ecosystems)

  • Yin Changjun

    (Chinese Academy of Sciences
    Cele National Station of Observation and Research for Desert-Grassland Ecosystems
    University of Chinese Academy of Sciences)

  • Zhang Lei

    (Chinese Academy of Sciences
    Cele National Station of Observation and Research for Desert-Grassland Ecosystems
    University of Chinese Academy of Sciences)

  • Xue Dongping

    (Chinese Academy of Sciences
    Cele National Station of Observation and Research for Desert-Grassland Ecosystems
    University of Chinese Academy of Sciences)

  • Liu Yi

    (Chinese Academy of Sciences
    Cele National Station of Observation and Research for Desert-Grassland Ecosystems)

  • Zeng Fanjiang

    (Chinese Academy of Sciences
    Cele National Station of Observation and Research for Desert-Grassland Ecosystems)

  • Zeeshan Ahmed

    (Chinese Academy of Sciences
    Cele National Station of Observation and Research for Desert-Grassland Ecosystems)

  • Chen Xiaoping

    (Yangzhou University)

Abstract

Accurate estimation of evapotranspiration is important for ecological protection, rational allocation and utilization of water resources, especially in hyper-arid areas where meteorological data is lacking. The Hotan River Basin and Oasis, at the southern edge of Tarim Basin (TB) in Xinjiang, China, is characterized by dry climate and low precipitation. In this study, the temporal and spatial variations in evapotranspiration from 1979–2018 in Hotan River Basin and Oasis were calculated viathe improved nonlinear evaporation complementary relationship model that proposed by Brutsaert (B2015 model). Then, the Mann–Kendall (M–K) trend test and Sen’s slope regression were used to analyze the trend of evapotranspiration in this region. The results showed that (1) the improved B2015 model was appropriate for calculating the evapotranspiration in Hotan River Basin and Oasis, with a determination coefficient of 0.91. (2) The average evapotranspiration in this region was 398.73 mm/y from 1979–2018. The highest evapotranspiration rate (65.00 mm/month) and lowest evapotranspiration rate (5.29 mm/month) occurred in June and January, respectively. The area with a significant increase trend in evapotranspiration accounted for 53.53%, and the area with a significant decrease accounted for 5.04%. (3) Furthermore, the evapotranspiration decreased with the increased altitude. Temperature and humidity were the main factors affecting evapotranspiration in this region. These results can provide a reference for evapotranspiration calculation and hydrological process research in hyper-arid areas.

Suggested Citation

  • Liu Yunfei & Gui Dongwei & Yin Changjun & Zhang Lei & Xue Dongping & Liu Yi & Zeng Fanjiang & Zeeshan Ahmed & Chen Xiaoping, 2023. "Estimating the Temporal and Spatial Variations in Evapotranspiration with a Nonlinear Evaporation Complementary Relationship Model in Hyper-arid Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 521-535, January.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:1:d:10.1007_s11269-022-03384-x
    DOI: 10.1007/s11269-022-03384-x
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    References listed on IDEAS

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    1. M. Majidi & A. Alizadeh & M. Vazifedoust & A. Farid & T. Ahmadi, 2015. "Analysis of the Effect of Missing Weather Data on Estimating Daily Reference Evapotranspiration Under Different Climatic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2107-2124, May.
    2. Zheng, Jing & Fan, Junliang & Zhang, Fucang & Zhuang, Qianlai, 2021. "Evapotranspiration partitioning and water productivity of rainfed maize under contrasting mulching conditions in Northwest China," Agricultural Water Management, Elsevier, vol. 243(C).
    3. Yongshan Jiang & Zhaofei Liu, 2022. "Simulation of Actual Evapotranspiration and Evaluation of Three Complementary Relationships in Three Parallel River Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5107-5126, October.
    4. Eckhard Mozart Bezerra Costa & Paulo Sérgio Lucio & Adelena Gonçalves Maia, 2021. "Relevance of Reservoir Morphometry in the Evaporation Process: an Evaporation Model for Semi-Arid Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4895-4907, November.
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    1. Liu, Yunfei & Gui, Dongwei & Chen, Xiaoping & Liu, Qi & Zeng, Fanjiang, 2024. "Sap flow characteristics and water demand prediction of cash crop in hyper-arid areas," Agricultural Water Management, Elsevier, vol. 295(C).

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