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

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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.

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Data Availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

This work was supported by the National Natural Science Foundation of China (42171042), Tianshan Innovation Team of Xinjiang (2020D14042) and Special Foundation for National Science and Technology Basic Research Program of China (2019FY100205).

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Contributions

All authors contributed to the study. Y. F. Liu and D. W. Gui designed the framework for the analysis. F. J. Zeng, D. W. Gui and Y. Liu provided the data. C. J. Yin, L. Zhang and D. P. Xue conducted data curation. Y. F. Liu conducted the analysis and wrote the manuscript in consultation with Z. Ahmed and X. P. Chen, who provided valuable insights. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Gui Dongwei.

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The authors have no relevant financial or nonfinancial interests to disclose.

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Yunfei, L., Dongwei, G., Changjun, Y. et al. Estimating the Temporal and Spatial Variations in Evapotranspiration with a Nonlinear Evaporation Complementary Relationship Model in Hyper-arid Areas. Water Resour Manage 37, 521–535 (2023). https://doi.org/10.1007/s11269-022-03384-x

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  • DOI: https://doi.org/10.1007/s11269-022-03384-x

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