江苏省东部某乡镇环境空气质量现状分析研究  

Analysis of Ambient Air Quality in a Township of Eastern Jiangsu Province

作　　者：李雷 Li Lei(Academy of Enwironmental Planning&Design(Jiangsu),Co.,Ltd,Nanjing University,Nanjing 210003,China)

机构地区：[1]南大环境规划设计研究院(江苏)有限公司,江苏南京210003

出　　处：《污染防治技术》2022年第1期43-46,共4页Pollution Control Technology

摘　　要：以江苏省东部某乡镇2018年1月~2019年12月期间一个环境空气质量自动监测站点小时数据为基础,分析了PM_(2.5)、PM_(10)、SO_(2)、NO_(2)、CO、O_(3)六个因子年均浓度水平与变化特征、月均浓度水平与变化特征。结果表明,PM_(2.5)、PM_(10)、SO_(2)、CO、O_(3)年均浓度均呈现下降趋势,NO_(2)呈现波动上升趋势。2018年,PM_(2.5)年均浓度、O_(3)日最大8小时滑动平均值第90百分位浓度超标。2019年,六个因子年均浓度均达标。研究期间该乡镇大气PM_(2.5)、PM_(10)、SO_(2)、NO_(2)、CO的月均浓度基本呈现为“中间低、两端高”的变化特征,而O_(3)的月均浓度则呈现为“中间高、两端低”的变化特征。研究发现,降低PM_(2.5)、臭氧等主要污染物浓度以及环境空气质量优良天数比例有待继续改善。The annual,monthly average concentration levels and variation characteristics of PM_(2.5),PM_(10),SO_(2),NO_(2),CO and O_(3) were analyzed,based on the hourly data of an ambient air quality automatic monitoring station in a township in eastern Jiangsu Province from January 2018 to December 2019.Results showed that the average annual concentrations of PM_(2.5),PM_(10),SO_(2),CO and O_(3) showed a downward trend,and NO_(2) showed a fluctuating upward trend.The average annual concentration of PM_(2.5) and the 90th percentile concentration of the maximum 8-hour moving average of O_(3) exceeded the standard in 2018.The annual average concentrations of all six indicators met ambient air quality standards in 2019.The monthly average concentrations of PM_(2.5),PM_(10),SO_(2),NO_(2) and CO in the township during the study period were basically characterized by'1ow in the middle and high at both ends,but he monthly average concentration of O_(3) was characterized by high in the middle and low at both ends.The study showed that re-ducing the concentration of major pollutants such as PM_(2.5) and ozone and increasing the proportion of days with good air quality need to be further improved.

关 键 词：环境空气 PM_(2.5) PM_(10) 臭氧 污染特征 

分 类 号：X821[环境科学与工程—环境工程]