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为了探索盘锦地区冬季日光温室光合有效辐射变化规律,更好地为本地区设施农业服务,利用2012年冬季日光温室内小气候和附近气象站观测资料,采用相关统计和逐步回归分析方法分析了冬季不同天气类型日光温室中光合有效辐射特征及光合有效辐射占太阳总辐射的比值,建立了冬季不同天气类型日光温室光合有效辐射的预报模型,并对其进行拟合检验。结果表明:(1)晴天和多云天日光温室内PAR具有明显的日变化。阴天时日光温室内接受到的PAR最大值一般在1~38W/m2。(2)冬季典型多云天ηPAR最高,阴天次之,晴天最低。(3)采用逐步回归分析方法分别建立日光温室内日最高光合有效辐射、日光合有效辐射总量、日最大总辐射、日总辐射总量与外界气象要素的相关模型均通过了0.01的显著性水平检验,并进行了拟合检验,晴天和多云天4个要素的拟合效果较好,阴天4个要素的拟合效果较差。
In order to explore the law of photosynthetically active radiation change in winter sun greenhouse in Panjin region and to better serve the facilities agriculture in Panjin region, the winter meteorological data of winter in 2012 were analyzed based on the statistical data and stepwise regression analysis The photosynthetically active radiation pattern and the ratio of photosynthetically active radiation to the total solar radiation in a solar greenhouse were established. The prediction models of photosynthetically active radiation in sunlight greenhouse of different types in winter were established and tested. The results showed that: (1) There were obvious daily variations of PAR in sunny and cloudy days in solar greenhouse. The maximum PAR value received in sunlight greenhouse during cloudy days is generally 1 ~ 38W / m2. (2) In typical cloudy days, ηPAR is the highest in winter, followed by cloudy days and lowest in sunny days. (3) The step-by-step regression analysis method was used to establish the highest photosynthetic active radiation, the effective daily total solar radiation, the daily maximum total radiation, the total daily total radiation and the external meteorological elements in the solar greenhouse respectively. Level test, and the fitting test, sunny and cloudy days, the four elements of the fitting effect is better, cloudy four elements of the fitting effect is poor.