【摘要】 [目的]研究线性回归模型在大棚小气候预测方面的应用情况,为有效调节春、夏、秋、冬季大棚内光照、气温、湿度提供理论依据。[方法]对3种常见结构塑料大棚内外150 cm高度的春、夏、秋、冬季光照、气温、湿度等气象要素进行对比观测、分析,建立预测不同结构大棚气象要素值的数学模型。[结果]单栋、3连栋、6连栋大棚内外150 cm高度光、温、湿三要素均具有较好的线性相关关系,拟合模型在t0.01检验下均达到极显著水平。[结论]该研究可为大棚农产品的优质、高产和稳产栽培提供农业气象服务指导。更多还原

【Abstract】 [Objective] To study the application of linear regression model to the forecast of greenhouse microclimate,so as to provide theoretical basis for effectively regulating the light,temperature and humidity in the greenhouse in four seasons.[Method] The 150 cm canopy light,temperature,humidity and other meteorological elements in the four seasons in three common plastic greenhouses were observed and compared,and then a mathematical model was constructed to forecast the meteorological elements in the greenhouse with different structures.[Result] Of three common greenhouses,150 cm temperature,humidity and light showed good linearity and the fitting model reached extremely significant level at t0.01 test.[Conclusion] The study provides meteorological services for the high-quality,high-yield and stable-yield of greenhouse products.更多还原