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作 者:程芳芳[1]
机构地区:[1]郑州市气象局,郑州450048
出 处:《农学学报》2015年第2期105-108,共4页Journal of Agriculture
基 金:国家973气候变化重大计划项目"气候变化对区域水资源影响评估及不确定性分析"(2010CB951103);郑州市科技攻关计划项目"郑州市温室大棚温度预报"(121PZDGG327)
摘 要:利用2012—2013年及2013—2014年2个冬季的大棚内外气象观测资料,对雾霾寡照天气条件下大棚内小气候特征进行分析,并采用逐步回归分析的方法,建立寡照天气大棚内最低气温预报方程,用该方程对2014年3月雾霾寡照天气棚内最低气温进行预报,绝对误差值均小于2℃,预报效果较好。同时提出了雾霾寡照天气条件下大棚生产管理措施,有效预防和抵御灾害。Microclimatic characteristics of a winter greenhouse were analyzed with meteorological observations during early Spring and Winter in 2013 and 2014. The lowest temperature prediction model inside the greenhouse for scant lighting days was established by adopting stepwise regression, and the model was applied to predict daily lowest temperature in scant lighting greenhouse for March 2014. Results indicated that the model performed well with absolute prediction errors less than 2℃. The production management measures were addressed as well to prevent and defense disasters according to the potential damages induced by smog weather.
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