2020-2022年石家庄市大气变化特征及关联性研究

Analysis of Temporal Variation and Relevance of Air Pollution in Shijiazhuang City from 2020 to 2022

基于石家庄市大气污染物浓度数据,结合空气质量指数法分析了2020—2022年石家庄市大气污染变化特征和首要污染物时序分布,采用关联规则法研究了空气污染物浓度间内在关联关系。结果表明:随着大气污染防治的持续性开展,石家庄市空气质量逐步提升,空气质量指数类别主要为良和轻度污染为主,AQI级别呈现由较高污染向优和较低污染级别转移,2022年严重污染天数首次出现了“零报表”。首要污染物天数逐年下降,季节分布特征表现为冬季以PM_(2.5)污染为主,夏季以O_(3)污染为主。关联规则模型中,规则{PM_(2.5)=2}=>{PM_(10)=2}表明PM_(2.5)日均质量浓度35~75μg/m^(3)伴有PM10日均质量浓度50~150μg/m^(3)的情况四季均有可能发生,其中冬季置信度为100%,为日后精细化管控提供了理论依据。

Based on the data of air pollutant concentration in Shijiazhuang City,this paper analyzed the change characteristics of air pollution and the temporal distribution of primary pollutants in Shijiazhuang City from 2020 to 2022 with the air quality index method,and used the association rules method to study the internal correlation between air pollutant concentrations.The results indicated that with the continuous development of air pollution prevention and control,the air quality in Shijiazhuang had gradually improved,the type of air quality index was mainly good and mild pollution.The AQI level showed a shift from higher pollution to better and lower pollution levels,and the number of severe pollution days in 2022 has appeared“zero report”for the first time.The number of days with primary pollutants decreased year by year,and the seasonal distribution characteristics showed that PM_(2.5)pollution was mainly in winter,and O_(3)pollution was mainly in summer.In the association rule model,the rule{PM_(2.5)=2}=>{PM_(10)=2}indicated that the PM_(2.5)average daily mass concentration of 35-75μg/m^(3)accompanied by PM_(10)average daily mass concentration of 50-150μg/m^(3)might occur in all seasons,and the confidence in winter was 100%,which provided a theoretical basis for future delicacy management and control.