大气颗粒污染物的扩散条件及浓度时空变化监测技术研究

Diffusion Conditions and Concentration Spatiotemporal Variation Monitoring Technology of Atmospheric Particulate Pollutants

为了深入了解颗粒物在大气中的传输和分布规律,揭示其扩散过程中的影响因素,研究大气颗粒污染物的扩散条件及浓度时空变化监测技术。收集河北省2017年-2022年空气质量数据,分析对大气颗粒污染物扩散产生影响的主要因素。同时在河北省各个区域内设定大气颗粒污染物监测点,根据地理位置以及气候条件等因素获取大气颗粒污染物的污染和时间变化特征。经过分析表明,河北省在2017年-2022年期间内PM_(10)和PM_(2.5)年均浓度逐年递减,从逐时变化来看,冬季全天的PM_(10)和PM_(2.5)浓度高于国家日均值标准,夏季浓度最低。

In order to gain a deeper understanding of the transport and distribution patterns of particulate matter in the atmosphere,this study selects the influencing factors during its diffusion process to study the diffusion conditions and concentration spatiotemporal change monitoring techniques of atmospheric particulate pollutants.By collecting air quality data from Hebei Province from 2017 to 2022,the study analyzes the main factors affecting the diffusion of atmospheric particulate pollutants.At the same time,monitoring points for atmospheric particulate pollutants are set up in various regions of Hebei Province.The pollution and temporal variation characteristics of atmospheric particulate pollutants are obtained based on factors such as geographical location and climate conditions.The results show that the annual average concentrations of PM_(10)and PM_(2.5)in Hebei Province decreased year by year from 2017 to 2022.From hourly changes,the concentrations of PM_(10)and PM_(2.5)throughout the day in winter were higher than the national daily average standard,while the concentrations in summer were the lowest.