A framework for investigating the air quality variation characteristics based on the monitoring data: Case study for Beijing during 2013–2016

论文摘要

In this study, an analysis framework based on the regular monitoring data was proposed for investigating the annual/inter-annual air quality variation and the contributions from different factors（i.e., seasons, pollution periods and airflow directions）, through a case study in Beijing from 2013 to 2016. The results showed that the annual mean concentrations（MC） of PM2.5, SO2, NO2 and CO had decreased with annual mean ratios of 7.5%, 28.6%, 4.6%and 15.5% from 2013 to 2016, respectively. Among seasons, the MC in winter contributed the largest fractions（25.8%～46.4%） to the annual MC, and the change of MC in summer contributed most to the inter-annual MC variation（IMCV） of PM2.5 and NO2. For different pollution periods, gradually increase of frequency of S-1(PM2.5, 0～ 75 μg/m3) made S-1 become the largest contributor（28.8%） to the MC of PM2.5 in 2016, it had a negative contribution（-13.1%） to the IMCV of PM2.5; obvious decreases of frequencies of heavily polluted and severely polluted dominated（44.7% and 39.5%） the IMCV of PM2.5. For different airflow directions, the MC of pollutants under the south airflow had the most significant decrease（22.5%～62.5%）, and those decrease contributed most to the IMCV of PM2.5（143.3%）,SO2（72.0%）, NO2（55.5%） and CO（190.3%）; the west airflow had negative influences to the IMCV of PM2.5, NO2 and CO. The framework is helpful for further analysis and utilization of the large amounts of monitoring data; and the analysis results can provide scientific supports for the formulation or adjustment of further air pollution mitigation policy.

论文目录

• Introduction
• 1. Overview of the study area
• 2. Methodology
•   2.1. Air quality variation characteristic analysis framework
•   2.2. Data collection and processing
•   2.3. Background trajectories model
•   2.4. Frequencies and mean air pollutant concentrations calculating method
•   2.5. Calculation method of contributions from different factors
• 3. Results
•   3.1. Air quality variation characteristics from 2013 to 2016
•   3.2. Seasonal air quality variation characteristics
•     3.2.1. Seasonal pollutant concentrations
•     3.2.2. Seasonal contribution to the air quality during 2013–2016
•   3.3. PM2.5variation trend of different pollution periods
•     3.3.1. PM2.5variation of different pollution periods
•     3.3.2. The contribution of different pollution periods to the inter-annual air quality change
•   3.4. Air quality variation trend under different airflow directions
•     3.4.1. Temporal variations of pollutant concentrations under different airflow directions
•     3.4.2. The contribution of different airflow directions to the inter-annual air quality change
• 4. Discussion
• 5. Conclusions

文章来源

类型: 期刊论文

作者: Jixian Cui,Jianlei Lang,Tian Chen,Shushuai Mao,Shuiyuan Cheng,Zhanshan Wang,Nianliang Cheng

来源: Journal of Environmental Sciences 2019年07期

年度: 2019

分类: 工程科技Ⅰ辑

专业: 环境科学与资源利用

单位: Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental & Energy Engineering, Beijing University of Technology,Beijing Municipal Environmental Monitoring Center

基金: financially supported by the National Key R&D Program of China(2017YFC 0209905),the Natural Sciences Foundation of China(No.51878012,51638001),the project supported by Beijing Municipal Education Commission of Science and Technology(No.KM201610005019),the New Talent Program of Beijing University of Technology(No.2017-RX(1)-10)

分类号: X831

页码: 225-237

总页数: 13

文件大小: 5068K

下载量: 53