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作 者:吴虑 周尚春 舒子倩 李舒颖 李春生 Wu Lyv(Kaili Meteorological Bureau,Kaili,Guizhou 556000)
机构地区:[1]凯里市气象局,贵州凯里556000 [2]麻江县气象局,贵州麻江556000 [3]剑河县气象局,贵州剑河556000 [4]岑巩县气象局,贵州岑巩556000 [5]黎平县气象局,贵州黎平556000
出 处:《农业灾害研究》2023年第8期163-165,共3页Journal of Agricultural Catastrophology
摘 要:选择2020年4月—2021年4月国家站周边林下站温湿度和剑河县国家气象站全年逐日温湿度及草温数据,采用对比统计分析、相关分析等方法,研究气象站温湿度与周边林下站30 cm处温湿度、气象站气温与周边草温的相关性。使用显著性检验,探究林下站温湿度与气象站温湿度及气象站气温与草温间的差异性,根据差异性是否显著,使用线性回归法建立基于气象站要素的林下站温湿度及草温模型,根据不同方法建立的模型进行检验,获取最优函数模型。From April 2020 to April 2021,the daily temperature and humidity data of the national meteorological station and the grass temperature of the national meteorological station in Jianhe County were selected,and the correlation between the temperature and humidity of the meteorological station and the temperature and humidity of the surrounding 30 cm forest station,the temperature and grass temperature of the meteorological station were studied by comparative statistical analysis and correlation analysis.Significance test was used to explore the differences between temperature and humidity of understory stations and temperature and humidity of meteorological stations and temperature and grass temperature of meteorological stations.According to whether the differences were significant,linear regression method was used to establish temperature and humidity and grass temperature models of understory stations based on weather station elements.
分 类 号:P463.2[天文地球—大气科学及气象学]
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