区域大气污染物浓度变化与农业气象因子间的关系研究  

Study on Relationship between Regional Air Pollutant Concentration Change and Agrometeorological Factors

作　　者：李睿[1] 罗焕梅 杜佩德 徐卫丽[1] 郭小琴 Li Rui;Luo Huanmei;Du Peide;Xu Weili;Guo Xiaoqin(Shuozhou Meteorological Bureau,Shuozhou 036002,China;Shuocheng District Meteorological Bureau,Shuozhou 036002,China;Huairen Meteorological Bureau,Huairen 038300,China)

机构地区：[1]朔州市气象局,山西朔州036002 [2]朔城区气象局,山西朔州036002 [3]怀仁市气象局,山西怀仁038300

出　　处：《环境科学与管理》2023年第5期39-44,共6页Environmental Science and Management

摘　　要：文章针对区域大气污染物浓度变化情况展开分析,并探究了其与农业气象因子间的关系。首先,使用丹尼尔趋势检验算法分析大气污染物日均和时均浓度变化,利用灰色关联度法分析6种常见污染物浓度与气象因子的关系。结果表明:一天内的不同时间段,不同污染物的排放浓度也随之变化。二氧化硫、可吸入颗粒物、二氧化氮、细微粒物、一氧化碳浓度与温度、湿度呈负相关关系,与大气压呈正相关关系,臭氧污染物则相反;降水对污染物具有良好的消减作用。In this article,the regional atmospheric pollutant concentration changes were analyzed and the relationship between them and agrometeorological factors was explored.Firstly,Daniel trend test algorithm was used to analyze the daily and temporal average concentrations of atmospheric pollutants,and the gray correlation method was used to analyze the relationship between the concentrations of six common pollutants and meteorological factors.The results show that the emission concentration of different pollutants varies at different times of the day.The concentrations of sulfur dioxide,inhalable particulate matter,nitrogen dioxide,fine particulate matter,and carbon monoxide are negatively correlated with temperature and humidity,and positively correlated with atmospheric pressure.The concentrations of ozone pollutants are inversely correlated and precipitation had a good reducing effect on pollutants.

关 键 词：农业气象因子 灰色关联度法 相关性分析 丹尼尔趋势检验法 大气污染物浓度 

分 类 号：X511[环境科学与工程—环境工程]