北方干寒地区日光温室CO2预测模型建立与冬季试验

根据质量平衡原理，构建了适用于北方干旱、寒冷地区典型日光温室CO2动态预测模型。模型定量描述了作物光合和呼吸作用、土壤呼吸作用、CO2施肥、自然通风及闭膜后的冷风渗透对室内空气中CO2的动态影响过程。利用内蒙古农牧业科技园区的日光温室对模型进行了冬季验证。结果表明，模型能较好地预测北方干旱、寒冷地区冬季晴天、多云天气的日光温室室内空气CO2浓度的动态变化过程，且预测值和实测值之间的相对误差小于10%。

Forecasting Model of CO2 Concentration of Solar Greenhouse in the Northern Drought Cold Area and Experimental Verification in Winter

Based on the principle of mass balance, a dynamic forecasting model of CO2 concentration of sunlight greenhouse in the northern drought cold area was established. The influenced factors correlative with CO2 concentration changing such as crop photosynthesis and respiration, soil respiration, carbon dioxide supply and natural or winded of closed situation ventilation were established in the model. To validate the correctness of the model, an experiment was carried out in a sunlight greenhouse in Agricultural Science and Technology Park in Inner Mongolia. The results showed that the inner forecasted CO2 concentration was well consistent with the measured data under the condition of sunny or cloudy day in the northern drought cold area in winter, and the relative error was less than 10%.