摘要
通过对研究区域内不同地点、不同时间的大气污染物浓度进行监测和分析,揭示大气污染物在时间和空间上的分布规律和差异性,有助于制定大气污染物防治措施。在研究区域建立监测点位,实时监测研究区域的空气质量数据,并对采集到的数据进行清洗和剔除处理,利用Python软件对采集的数据进行统计和分析,分析大气污染物的时空分布特征;通过计算空气污染指数,对研究区域的空气质量进行评估,并制定相应的污染防治措施。在大气污染物的月变化特征中,PM2.5的最高浓度为40.36μg/m^(3)(12月),PM10的最高浓度为85.45μg/m^(3)(1月),SO2的最高浓度为152.34μg/m^(3)(1月),CO的最高浓度为131.25μg/m^(3)(1月),NO_(x)最高浓度为128.56μg/m^(3)(6月),O_(3)最高浓度为138.76μg/m^(3)(3月);在大气污染物的季变化特征中,大气污染物在冬季浓度较高,夏季较低。应用污染防治技术后,区域B、E、G的污染程度均从重度污染下降到轻度污染。大气污染物的分布会受到季节变化的影响,且污染防治技术能够有效降低大气污染物的浓度。
By monitoring and analyzing the concentration of atmospheric pollutants at different locations and times in the study area,the distribution patterns and differences of atmospheric pollutants in time and space are revealed,which is helpful for formulating measures for the prevention and control of atmospheric pollutants.The monitoring points in the study area were established,the air quality data were monitored in real-time,the collected data were cleaned and removed,and the Python software was used to statistically analyze the collected data and analyze the spatiotemporal distribution characteristics of atmospheric pollutants;by calculating the air pollution index,the air quality in the study area was evaluated and the corresponding pollution prevention and control measures were formulated.In the monthly variation characteristics of atmospheric pollutants,the highest concentration of PM2.5 was 40.36μg/m^(3)(December),the highest concentration of PM10 was 85.45μg/m^(3)(January),the highest concentration of SO 2 was 152.34μg/m^(3)(January),the highest concentration of CO was 131.25μg/m^(3)(January),the highest concentration of NO_(x) was 128.56μg/m^(3)(June),and the highest concentration of O_(3) was 138.76μg/m^(3)(March);in the seasonal variation characteristics of atmospheric pollutants,the concentration of atmospheric pollutants was higher in winter and lower in summer.After applying pollution prevention and control technologies,the pollution levels in regions B,E,and G all decreased from severe pollution to mild pollution.The distribution of atmospheric pollutants is affected by seasonal changes,and pollution prevention and control technologies can effectively reduce the concentration of atmospheric pollutants.
作者
王雪峰
毕研亮
Wang Xuefeng;Bi Yanliang(Yantai Environmental Sanitation Management Center,Yantai 264000,China)
出处
《能源与环保》
2025年第5期110-114,119,共6页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
关键词
大气污染物
时空分布特征
污染防治
空气质量
空气污染指数
atmospheric pollutant
spatio-temporal distribution characteristics
pollution prevention and control
air quality
air pollution index
