Analysis and simulation of temperature gradient difference in vineyards in spring
[Objective]In order to improve the accuracy of late frost forecast for wine grapes,and to provide theoretical basis for scientific regulation of microclimate and prevention of late frost disaster in vineyards.[Method]Based on the 50 cm and 150 cm temperature gradient observation data of 14 vineyards at the eastern foothills of Helan Mountain in Ningxia from April to May in each year between 2019 and 2022,the gradient differences of spring temperature,frost occurrence days and degrees,low temperature hours and temperature on typical frost days were compared and analyzed.The linear fitting model of minimum temperature in spring growth layer was established.[Result]There were gradient differences in temperature of vineyards in spring.The maximum temperature of 150 cm was lower than that of 50 cm,and the gradient difference was 0.1-0.8℃.The minimum temperature of 150 cm was higher than that of 50 cm,and the gradient difference was 0.2-1.1℃.Based on the climate index of late frost of wine grapes,the total number of frost days determined by the minimum temperature of 50 cm was 1~7 days longer than that of 150 cm,and the frost degree was heavier.During the temperature dropping phase in the evening of typical frost days,the temperature got lower when it was closer to the ground surface.The temperature gradient of different wineries was different,among which the temperature gradient difference between JSY and MY wineries was more than 3.0℃.On frost days,there was a gradient difference in the number of hours of less than or equal to zero.The average difference was 19.6 h,and the difference of HD winery was the largest,which was 49 h.The linear fitting model based on the daily minimum temperature of 150 cm for different regions,different wineries and without regard to regions and wineries had a better overall effect,among which the model of different wineries had the best fitting effect.The number of wineries with R2 greater than 0.99 was more than 50%,and the arithmetic average error was 0.4℃.[Conclusion]The gradient difference of minimum temperature in vineyards in spring was the largest.The number of frost days,severity and low temperature hours determined by minimum temperature of 50 cm was closer to the actual frost occurrence process.In addition,the linear fitting model of the minimum temperature of the winery was more suitable to simulate the minimum temperature of the plant growth layer.
eastern foothills of Helan Mountainswine grapeslate frostplant growth layertemperature simulation