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作 者:朱宝文 张婷华 辛秋玲 董文静 ZHU Bao-wen;ZHANG Ting-hua;XIN Qiu-ling;DONG Wen-jing(Xining Meteorological Observatory of Qinghai Province, Xining Qinghai 810003, China)
出 处:《青海农林科技》2018年第1期63-66,共4页Science and Technology of Qinghai Agriculture and Forestry
摘 要:本文通过因子筛查和逐步回归分析,建立了温室大棚内次日最低气温,10cm、地表温度,相对湿度和CO2浓度预报模型以及灌溉、通风、喷药和覆盖等生产管理方式的农用天气预报方法,可以为设施农业气象服务和生产管理提供依据和参考,从而提高气象服务的针对性和精细化水平。In order to reveal an appropriate method of agricultural weather forecast,the author established the forecasting model of the next day minimum temperature,the 10 cm,the surface temperature,the relative humidity,and the CO2 concentration,and adopt effective management method such as irrigation,ventilation,straying and mulching in greenhouse based on the screening factors and the stepwise regression method. The result provided basis and reference for production management and service of the facility agriculture,improving the pertinence and fine level of meteorological service.
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