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

Yuantao Zhou, Weidong Ma, Fenggui Liu and Jing’ai Wang
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Yuantao Zhou: School of Geographic Science, Qinghai Normal University, Xining 810008, 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
Jing’ai Wang: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

Sustainability, 2022, vol. 14, issue 10, 1-15

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.

Keywords: weather generator; Qinghai–Tibet Plateau; highland barley; hydrothermal conditions (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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