摘要
在研究大气CO_(2)浓度变化特征过程中,发现不同气象条件对CO_(2)浓度影响较大,但是在具体分析上数据精度不足,严重影响全局分析水平。针对这一问题,提出不同气象条件下大气CO_(2)浓度变化特征分析。利用监测技术采集大气CO_(2)监测数据,绘制小时标准差分布图,根据数据分布趋势,采用针对性的处理方式消除异常值,通过聚类方法提取出大气CO_(2)浓度在时间上的分布特点,将其与气象因素相结合,建立回归方程,分析大气CO_(2)浓度空间上的变化特征。实验结果表明:提出的分析方法能够满足精度要求,保证高水平的全局一致性。
In the process of studying the variation characteristics of atmospheric CO_2 concentration,it is found that different meteorological conditions have a great impact on CO_2 concentration.But the data accuracy in specific analysis was insufficient,which seriously affected the global analysis level.To solve this problem,the change characteristics of atmospheric CO_2 concentration under different meteorological conditions are analyzed.This paper used monitoring technology in atmospheric CO_2 monitoring data,drew hours standard deviation distribution,according to the trend of the data distribution,adopted the processing mode of targeted to eliminate outliers,through clustering method to extract the distribution characteristics of atmospheric CO_2 concentration on time.Combined with the meteorological factors,the paper establishes the regression equation to analyze the spatial variation characteristics of atmospheric CO_2 concentration.Experimental results showed that the proposed analysis method can meet the accuracy requirements and ensure a high level of global consistency.
作者
张静
赵京波
李爽
Zhang Jing;Zhao Jingbo;Li Shuang(Hebei Province Information Engineering School,Baoding 071000,China)
出处
《环境科学与管理》
CAS
2023年第3期134-139,共6页
Environmental Science and Management
关键词
气象条件
大气环境
浓度变化
CO_(2)
聚类分析
meteorological conditions
atmospheric environment
concentration change
CO 2
cluster analysis