长江中下游地区夏季温室黄瓜冠层温度模拟与分析研究

Simulation and analysis of cucumber canopy temperature in greenhouse in Yangtze River delta during summer

根据作物冠层能量平衡原理,建立了以温室内温度、湿度、冠层净辐射等为变量的温室作物冠层温度的模拟模型,并利用实测资料对模型的可靠性进行了检验,同时就温室内部温度、冠层净辐射、蒸腾速率对冠层温度的影响进行了敏感性分析。结果表明:模型能较好地预测长江中下游地区温室作物冠层温度,模型对该地区夏季(2002年6月24至7月12日,梅雨季节)温室内作物冠层温度预测值与实测值的决定系数(R2)和标准误(SE)分别为:0.8321,0.0037℃;建立的温室内部温度、相对湿度、净辐射和作物蒸腾速率的多元线性回归模型,其决定系数(R2)和标准误(SE)分别为:0.9996,0.8829℃;通过敏感性解释因子的分析表明,作物冠层温度对温室内部温度最为敏感,室内温度是预测冠层温度的主要因子。

A greenhouse vegetation canopy temperature simulation model was developed based on vegetation canopy energy balance. Experiment was carried out in a Dutch Venlo-type greenhouse in Shanghai during summer to collect microclimate and vegetation data to validate the model, and the sensitivity of the canopy temperature to interior air temperature, net radiation and transpiration rate was analyzed. The simulated canopy temperature agreed well with the measured data. The correlation determination coefficient （R2） and standard error （SE） between the simulated and measured canopy temperature were 0. 8321 and 0. 0037℃ （June 24 to July 12, 2002）, respectively. The multiple regression model between canopy temperature and interior air temperature, interior air humidity, net radiation and transpiration rate was developed and validated during experimental period with R2 and SE being 0. 9996 and 0. 8829℃, respectively. The sensitivity study of the canopy temperature shows that the interior air temperature is the most influential factor, and it can be regarded as main factor to predict canopy temperature.