基于夜间室内外温差计算方法的日光温室气候分类

    Climate classification of solar greenhouse based on the calculation method for indoor and outdoor temperature difference at night

    • 摘要: 为了解决日光温室园艺作物越冬栽培茬口合理安排问题,同时减少低温灾害风险,开展温室保温性评价并进行科学分类。该研究选取天津市3种典型日光温室设置室内外小气候观测试验,结合不同温室构型及建筑材料,基于热传导原理形成日光温室夜间室内外温差计算方法,并以此为基础评价不同类型温室保温能力,进而对天津地区主要日光温室类型进行划分,提出不同类别温室适宜种植蔬菜建议。结果表明:1)温室保温常数能较好地反映日光温室保温性能差异,3种典型日光温室保温常数分别为20.34、15.84、13.21。2)温差计算方法可以较好模拟不同类型日光温室室内气温变化,温差模拟值与实测值决定系数(R2)在0.70以上,均方根误差RMSE范围为1.97%~3.86%。3)利用1960-2020年气候观测资料按气候保证率80%计算其最低气温、最小湿度及最小风速值,模拟得到当地不同保温能力日光温室的极端最低温度值为3~14 ℃,按照果蔬生长发育指标需求,提出日光温室分类标准,可分为耐寒叶菜型、叶菜适宜型、果叶混合型、果菜适宜型及喜温果菜型,并在2016-2020年温室改造与评估实际应用中得到验证。该研究可为解决中国日光温室类型多且构型复杂,难以量化评价其保温性能及合理安排种植茬口的难题提供方案参考。

       

      Abstract: Abstract: Various types of solar greenhouses with complex configurations have been widely used in China in recent years. Evaluating the thermal insulation performance of a solar greenhouse can greatly contribute to accurately arranging the cultivation stubble of horticultural crops in winter. The risk of low temperature can also be reduced, according to the optimal classification of solar greenhouses. In this study, a comprehensive model was proposed to clarify the relationship between vegetable planting and the climate types of the solar greenhouse using an indoor-outdoor temperature difference at night. An experiment was also conducted in the winter periods of 2011-2014 (from November to March of the following year) in the facility agricultural cluster in the northern Tianjin, located at North China Plain with an annual average temperature of 12.3 ℃, the average sunshine hours of 2 527 h, and the average precipitation of 564 mm. Three typical solar greenhouses were selected to observe the indoor and outdoor microclimate. A calculation model was also established using the indoor-outdoor temperature difference, according to the different structure configurations, building materials, and heat conduction in the solar greenhouse. The thermal insulation performance of solar greenhouses was evaluated to determine the climate classification. The results showed that: 1) The thermal insulation constant (γc) was an excellent indicator to evaluate the thermal insulation performance of the solar greenhouses. The specific values were 20.34, 15.84, and 13.21 for the three typical solar greenhouses, respectively. 2) The calculation model well simulated the temperature changes in the solar greenhouses with the coefficient of determination (R2) higher than 0.70, and the root mean square error (RMSE) 1.968-3.857 ℃, indicating an outstanding performance of the model. 3) The extremely minimum temperature was obtained ranging from 3 ℃ to 14.4 ℃ for the different types of solar greenhouses using the minimum temperature, humidity, and wind speed, according to the climate observation from 1960 to 2020 with the climate guarantee rate of 80%. According to the growth and development indicators of fruits and vegetables, a new classification standard was proposed for the solar greenhouses, including the cold-tolerant leafy vegetables, leafy vegetable suitability, fruit-leaf mixed type, fruit-vegetable suitable, and temperature-loving fruit-vegetable type. Moreover, this classification was verified in the actual application of greenhouse renovation and evaluation in the planting base of Hengfeng vegetable cooperative in Houjiaying, Jizhou City, Tianjin in the winter of 2016-2018, as well as in the two parks of Juhong and Qingtai manor, Wuqing City, Tianjin of China in the winter of 2019-2020. Hence, these findings and recommendations can provide strong support to guide the vegetable planting in the different types of solar greenhouses.

       

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