成渝地区大气细颗粒物(PM_2.5)污染成因分析研究——以广安市为例

Analysis on Causes of Atmospheric Fine Particulate Matter (PM_2.5) Pollution in Chengdu-Chongqing Area—Taking Guang’an City as an Example

摘要: 为研究成渝地区大气细颗粒物(PM_2.5)污染成因，选取成渝地区重点市(州)广安市为研究城市，选择污染较重的年份2016~2017年监测数据为研究数据，运用HYSPLIT模型、潜在源贡献因子分析法(PSCF)、浓度权重轨迹分析法(CWT)、移动式在线单颗粒气溶胶飞行时间质谱仪(SPAMS)对广安市大气细颗粒物(PM_2.5)污染成因进行了分析。结果表明：1) 广安市细颗粒物(PM_2.5)后向轨迹传输路径季节性贡献率差异较大。2) 重污染天气期间，广安市PM_2.5潜在源区域贡献依次为重庆市西部、川东北区域、重庆东南部，占比分别为62.93%、22.41%、14.66%。3) 广安市东南部重庆地区、西北部南充市、东北部巴中市是广安市细颗粒物(PM_2.5)重要潜在源区域，对广安市细颗粒物(PM2.5)的潜在贡献率在50%以上。4) 广安市城区细颗粒物(PM_2.5)主要成分来源为有机碳，其次为重金属、元素碳。

Abstract: In order to study the causes of atmospheric fine particulate matter (PM_2.5) pollution in Chengdu- Chongqing region, Guang’an, a key city (prefecture) in the region, was selected as the research city and prefecture, and the monitoring data of 2016~2017 with heavy pollution was selected as the research data. There were used to analyze the causes of atmospheric fine particulate matter (PM_2.5) pollution by the mean of HYSPLIT model, the potential source contributing factor analysis method (PSCF), concentration weight trajectory analysis method (CWT) and single particle aerosol mass spectrometer (SPAMS) in Guang’an city. The results show that: 1) the seasonal contribution rate of the backward trajectory of fine particulate matter (PM_2.5) in Guang’an city was significantly different. 2) During heavy pollution days, the contribution of PM_2.5 potential source regions in Guang’an city was the west of Chongqing, the northeast of Sichuan and the southeast of Chongqing, accounting for 62.93%, 22.41% and 14.66%, respectively. 3) Chongqing in the southeast of Guang’an city, Nanchong in the northwest and Bazhong in the northeast were the important po-tential sources of fine particulate matter (PM_2.5) in Guang’an city, and the potential contribution rate of PM_2.5 in Guang’an city was more than 50%. 4) The main component of PM_2.5 in Guang’an city was organic carbon, followed by heavy metal particles and elemental carbon.