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Simulation and Evaluation of Hydrothermal Conditions in Crop Growth Period: A Case Study of Highland Barley in the Qinghai-Tibet Plateau

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  • Yuantao Zhou

    (School of Geographic Science, Qinghai Normal University, Xining 810008, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Weidong Ma

    (School of Geographic Science, Qinghai Normal University, Xining 810008, China)

  • Fenggui Liu

    (School of Geographic Science, Qinghai Normal University, Xining 810008, China
    Academy of Plateau Science and Sustainability, Xining 810008, China)

  • Jing’ai Wang

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Academy of Plateau Science and Sustainability, Xining 810008, China)

Abstract

WXGEN, a weather generator model based on stochastic process theory and mathematical statistics, was widely used in hydrological monitoring models, crop yield estimation models and derived fields of meteorological data. In this study, we used WXGEN to evaluate the simulation accuracy of hydrothermal conditions in the highlands of the Qinghai–Tibet Plateau. Results showed that: (1) The Markovian chain transfer parameters P ( W | D ) and P ( W | W ) of each station were between 0.03–0.30 and 0.12–0.74, which was basically consistent with the temporal and spatial distribution of actual precipitation; (2) In the thermal data simulation, more than 96% of the meteorological stations passed the 0.05 level in three different significance tests of monthly mean minimum and maximum temperature and solar radiation, and the measured deviations of simulated annual mean temperature and solar radiation were 0.686 °C and 1.65 MJ/m 2 , respectively. In all, 94% of the stations in the hydrological simulation passed the monthly precipitation significance test; (3) The simulated vs. measured deviations of annual precipitation, heavy rain days and wet days were 8.04 mm, 1.023 d and 8.374 d, respectively; (4) The simulation of extreme hydrothermal conditions that may affect the yield of highland barley was very close to the measured situation, and the R 2 of simulation and measured value was all above 0.85. The simulation of freezing damage was less accurate, but also higher than 0.85.

Suggested Citation

  • Yuantao Zhou & Weidong Ma & Fenggui Liu & Jing’ai Wang, 2022. "Simulation and Evaluation of Hydrothermal Conditions in Crop Growth Period: A Case Study of Highland Barley in the Qinghai-Tibet Plateau," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:5932-:d:815038
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    References listed on IDEAS

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    1. Weidong Ma & Wei Jia & Peng Su & Xingyun Feng & Fenggui Liu & Jing’ai Wang, 2021. "Mapping Highland Barley on the Qinghai–Tibet Combing Landsat OLI Data and Object-Oriented Classification Method," Land, MDPI, vol. 10(10), pages 1-15, September.
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