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Spatial Water Consumption Test and Analysis of Various Typical Vegetation in the Sanjiangyuan Region

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  • Liuyan Qu

    (Qinghai Provincial Key Laboratory of Physical Geography and Environmental Processes, School of Geographical Sciences, Qinghai Normal University, Xining 810008, China
    Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Shaofeng Jia

    (Qinghai Provincial Key Laboratory of Physical Geography and Environmental Processes, School of Geographical Sciences, Qinghai Normal University, Xining 810008, China
    Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Runjie Li

    (Qinghai Provincial Key Laboratory of Physical Geography and Environmental Processes, School of Geographical Sciences, Qinghai Normal University, Xining 810008, China
    State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China)

Abstract

Vegetation water consumption in the Sanjiangyuan Region is of direct significance to the utilization of local water resources. To measure the actual evapotranspiration of various typical vegetation with different vegetation types in the Sanjiangyuan Region, a Lysimeter was used between November 2019 and October 2020. Additionally, the Penman–Monteith equation was used to estimate the condensation water of different vegetation types. Based on the measured data, this paper analyzes the spatial distribution of annual water consumption and annual runoff of various vegetation types. Furthermore, the spatial and temporal distribution of monthly water consumption of vegetation types on different underlying surfaces are discussed. To establish the relationship between the precipitation and runoff of various vegetation types, an artificial rainfall test was conducted. This study’s results reveal several key findings: (1) Condensation water is widespread and can be observed throughout the year. The annual condensation water volume ranges between 28.47 and 56.88 mm, which is particularly significant for the growth of alpine desert steppe and alpine steppe vegetation. (2) The annual water consumption in the Sanjiangyuan Region was higher in the south than in the north. Shrub water consumption was found to be 58.1–73.3 mm higher than that of grasses. Water consumption primarily occurred during the growing season, spanning from May to October. (3) The total water consumption in the growing season of the alpine meadow was less affected by precipitation compared to the non-growing season (from November to the next April). (4) The runoff yield can be ignored in the non-growing season when calculating water balance. However, during the growing season, the calculation of runoff cannot be ignored due to its significant impact on vegetation water consumption.

Suggested Citation

  • Liuyan Qu & Shaofeng Jia & Runjie Li, 2023. "Spatial Water Consumption Test and Analysis of Various Typical Vegetation in the Sanjiangyuan Region," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5422-:d:1101255
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    References listed on IDEAS

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    1. Jamshidi, Sajad & Zand-Parsa, Shahrokh & Kamgar-Haghighi, Ali Akbar & Shahsavar, Ali Reza & Niyogi, Dev, 2020. "Evapotranspiration, crop coefficients, and physiological responses of citrus trees in semi-arid climatic conditions," Agricultural Water Management, Elsevier, vol. 227(C).
    2. Lopez-Urrea, R. & Martin de Santa Olalla, F. & Fabeiro, C. & Moratalla, A., 2006. "Testing evapotranspiration equations using lysimeter observations in a semiarid climate," Agricultural Water Management, Elsevier, vol. 85(1-2), pages 15-26, September.
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    1. Abdul Halim Hamdany & Martin Wijaya & Alfrendo Satyanaga & Harianto Rahardjo & Zhai Qian & Aswin Lim & Jong Kim, 2023. "Numerical Simulation on the Effect of Infiltration and Evapotranspiration on the Residual Slope," Sustainability, MDPI, vol. 15(11), pages 1-15, May.

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