论文部分内容阅读
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%,0.040g·m-2·s-1;0.80,0.84,0.77;1.5℃,4.4%,0.018g·m-2·s-1;0.84,0.59,0.73;1.6℃,6.0%,0.012g·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。
According to the physical principle of energy and mass balance in greenhouse, a greenhouse-based greenhouse material, greenhouse crop, height and leaf area were established based on the climate conditions (solar radiation, temperature, humidity and wind speed) Index) as a parameter of the greenhouse microclimate simulation model, and the use of Shanghai Venlo greenhouse three season test data to test the model. The results show that the model can predict the summer and winter air temperature, humidity and crop transpiration rate in Venlo greenhouse in the middle and lower reaches of the Yangtze River in China. The model was applied to the greenhouse in summer dry season (August, August, 2008), summer wet season (late June to mid July, rainy season) and winter (January 27 to February 5, 2002) The determination coefficient (R2) and standard error (SE) of the predicted and observed values of air temperature, humidity and crop transpiration rate were 0.89,0.75,0.52, 1.1 ℃, 4.4%, 0.040g · m-2 · s -1; 0.80, 0.84, 0.77; 1.5 ° C, 4.4%, 0.018 g · m -2 · s -1; 0.84, 0.59, 0.73; 1.6 ° C, 6.0%, 0.012 g · m -2 · s -1. The research provided theoretical basis and decision-making support for further discussion on the optimal regulation of greenhouse environment.