摘要
基于播州区2021~2022年逐日大气污染监测数据,对播州区过去2年的空气质量变化进行了趋势分析,并结合播州区2021~2022年逐日同期气象数据,利用SPSS软件,进行相关性分析和主成分分析,并分析了气象要素对大气污染物浓度的影响。分析结果表明:(1)SO_(2)、CO、PM_(10)、NO_(2)、PM_(2.5)浓度的全年变化趋势与AQI指数变化趋势基本相同,O_(3)的浓度变化趋势与其余5种大气污染物的变化趋势相反;(2)除NO_(2)和O_(3)相关性不显著外,其余大气污染物之间均显著相关;(3)与PM_(2.5)浓度正相关的气象要素是气压,负相关的气象要素是平均气温、最高温度、最低温度、平均风速、平均相对湿度和降雨量。平均气温、最高温度、最低温度与O_(3)浓度有正相关,气压、平均相对湿度、降雨量与O_(3)浓度负相关。
Based on the daily air pollution monitoring data from 2021~2022 in Bozhou District,the variation tendency analysis of air quality changes in the past 2 years in Bozhou District was conducted,and the influence of meteorological elements on the concentration of air pollutants was analyzed by using SPSS software,correlation analysis and principal component analysis,combined with the day-by-day meteorological data of the same period from 2021~2022 in Buzhou District.The analysis results showed that:①the annual change trends of SO_(2),CO,PM_(10),NO_(2) and PM_(2.5) concentrations were basically the same as the change trends of AQI index,and the change trends of O_(3) concentrations were opposite to the change trends of the remaining five air pollutants.②Except for NO_(2) and O_(3),which are not significantly correlated,all other air pollutants are significantly correlated with each other.③The meteorological elements positively correlated with PM_(2.5) concentrations are air pressure,and those negatively correlated are average temperature,maximum temperature,minimum temperature,average wind speed,average relative humidity and rainfall.The average temperature,maximum temperature and minimum temperature were positively correlated with O_(3) concentration,and the air pressure,average relative humidity and rainfall were negatively correlated with O_(3) concentration.
作者
吴新星
刘昌文
申俊初
张远洪
吴新豪
李翀
Wu Xinxing;Liu Changwen;Shen Junchu;Zhang Yuanhong;Wu Xinhao;Li Chong(Zunyi Bozhou District Meteorological Bureau,Zunyi,Guizhou 563100,China;Zunyi Bozhou District Ecological Monitoring Station,Zunyi,Guizhou 563100,China;Zunyi Meteorological Bureau,Zunyi,Guizhou 563002,China;Renhuai Meteorological Bureau,Rrenhuai,Guizhou 564599,China;Wuchuan Meteorological Bureau,Wuchuan,Guizhou 564300,China)
出处
《绿色科技》
2023年第18期157-163,共7页
Journal of Green Science and Technology
基金
合肥市气象局科研业务项目(编号:zyqxky[2023]8号)。
关键词
大气污染物
气象要素
相关性分析
air pollutant
meteorological elements
correlation analysis
