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作 者:王贵梅 李瑞苏 杨帆 李绍坤 王丽娜 WANG Guimei(Hebei Nanhe District Meteorological Bureau,Xingtai,Hebei 054400)
机构地区:[1]河北省南和区气象局,河北邢台054400 [2]河北省沙河市气象局,河北沙河054100
出 处:《农业灾害研究》2022年第7期63-65,共3页Journal of Agricultural Catastrophology
摘 要:根据2020年3月至2022年1月邢台市南和区农业嘉年华日光温室内外温度、湿度等气象要素的连续观测资料,从不同天气状况和不同季节的角度分析日光温室内小气候日、季节和不同天气时的变化规律,找出日光温室内最低气温预报模型。工作人员根据日光温室内最低气温预报模型,可以针对不同作物生长气象因子提前进行气象调控,达到防灾减灾的作用。According to the continuous observation data of temperature, humidity and other meteorological elements inside and outside the solar greenhouse of agricultural Carnival in Nanhe District of Xingtai City from March 2020 to January 2022, the variation laws of microclimate days, seasons and different weather hours in the solar greenhouse are analyzed from the perspective of different weather conditions and seasons, and the prediction model of minimum temperature in the solar greenhouse is found out. According to the minimum temperature prediction model in the solar greenhouse, the staff can carry out meteorological regulation in advance for different crop growth meteorological factors,so as to achieve the role of disaster prevention and reduction.
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