戴剑锋, 罗卫红, 徐国彬, 李永秀, 汪小旵, 叶军, 姚永康. 长江中下游地区Venlo型温室空气温湿度以及黄瓜蒸腾速率模拟研究[J]. 农业工程学报, 2005, 21(5): 107-112.
    引用本文: 戴剑锋, 罗卫红, 徐国彬, 李永秀, 汪小旵, 叶军, 姚永康. 长江中下游地区Venlo型温室空气温湿度以及黄瓜蒸腾速率模拟研究[J]. 农业工程学报, 2005, 21(5): 107-112.
    Dai Jianfeng, Luo Weihong, Xu Guobin, Li Yongxiu, Wang Xiaochan, Ye Jun, Yao Yongkang. Simulation of greenhouse air temperature, humidity and canopy transpiration in Yangtze River Delta[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2005, 21(5): 107-112.
    Citation: Dai Jianfeng, Luo Weihong, Xu Guobin, Li Yongxiu, Wang Xiaochan, Ye Jun, Yao Yongkang. Simulation of greenhouse air temperature, humidity and canopy transpiration in Yangtze River Delta[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2005, 21(5): 107-112.

    长江中下游地区Venlo型温室空气温湿度以及黄瓜蒸腾速率模拟研究

    Simulation of greenhouse air temperature, humidity and canopy transpiration in Yangtze River Delta

    • 摘要: 根据温室能量和质量平衡的物理学原理,建立了一个以温室外气候条件(太阳辐射、温度、湿度、风速等)为驱动变量,以温室结构、温室覆盖材料、温室内作物(高度、叶面积指数)为参数的温室小气候模拟模型,并利用上海Venlo型温室的三季试验数据对模型进行了检验。结果表明:模型能较好地预测中国长江中下游地区Venlo型温室内夏季和冬季空气温度、湿度以及作物蒸腾速率。模型对该地区夏干季节(2001年8月,三伏天)、夏湿季节(2002年6月下旬至7月中旬,梅雨季节)和冬季(2002年1月27日~2月5日)温室内空气温度、湿度以及作物蒸腾速率预测值与实际观测值的决定系数(R2)和标准误(SE)分别为:0.89,0.75,0.52;1.1℃,4.4%,0.040 g·m-2·s-1;0.80,0.84,0.77;1.5℃,4.4%,0.018 g·m-2·s-1;0.84,0.59,0.73;1.6℃,6.0%,0.012 g·m-2·s-1。该研究为进一步探讨温室环境的优化调控提供了理论依据和决策支持。

       

      Abstract: A greenhouse microclimate simulation model was developed based on the principle of greenhouse energy and mass (moisture) balances. Experiments were carried out in a Dutch Venlo-type greenhouse in Shanghai during three seasons to collect microclimate and crop data to validate the model. The simulated greenhouse air temperature, humidity and canopy transpiration rate agreed well with the measured data. The correlation determination coefficient (R2) and standard error (SE) between the simulated and measured greenhouse air temperatures, humidities and crop transpiration rates, during the three experimental periods, were 0.89, 0.75, 0.52; 1.1℃, 4.4%, 0.040 gm-2·s-1 (August 2001); 0.84, 0.59, 0.73; 1.6℃, 6.0%, 0.012 gm-2·s-1 (January 27 to February 5, 2002); 0.80, 0.84, 0.77; 1.5℃, 4.4%, 0.018 gm-2·s-1 (June 24 to July 12, 2002), respectively. Based on the results obtained in this study, it is concluded that this model can give satisfactory predictions of greenhouse microclimate under both summer and winter conditions in subtropical China.

       

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