谢雨竹,潘月鹏,倪长健,陈志辉,韦霞.成都市区夏季大气污染物浓度时空变化特征分析[J].环境科学学报,2015,35(4):975-983
成都市区夏季大气污染物浓度时空变化特征分析
- Temporal and spatial variations of atmospheric pollutants in urban Chengdu during summer
- 基金项目：国家重点基础研究发展规划项目(No.2012CB417106);四川省环境保护重大科技专项(No.2013HBZX01);国家自然科学基金项目(No. 41105101)
- 谢雨竹
- 1. 成都信息工程学院大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225;2. 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029
- 潘月鹏
- 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029
- 倪长健
- 成都信息工程学院大气科学学院, 高原大气与环境四川省重点实验室, 成都 610225
- 陈志辉
- 浙江省环境保护科学设计研究院, 杭州 310007
- 摘要：为了解成都市区大气污染物浓度水平及其变化规律,统计分析了2013年6月1日—8月31日3个市区站点(十里店、梁家巷和草堂寺)SO2、NO2、O3、PM2.5、PM10和CO逐时观测资料.结果表明,观测期间O3污染严重,上述3个站点小时均值超标率分别达22%、37%和42%.大气颗粒物污染也较为严重,上述3个站点PM10日均浓度超标率分别为13%、8%和3%,而PM2.5日均值超标率分别高达34%、27%和26%.NO2和CO早晚的浓度高峰主要与机动车流量增加和混合层高度降低有关.由于紫外辐射影响,O3浓度在正午出现峰值.受机动车流量高峰和气象条件的影响,PM2.5和PM10最大值和最小值分别出现在上午和下午.通过对污染物 "周末效应"的分析,发现周末O3、PM2.5和PM10的浓度显著高于工作日,SO2、NO2和CO反之.成都市区大气污染受局地排放和外源输送共同影响,其中PM10和NO2主要受局地源控制,而PM2.5、SO2和O3受外输送影响较大.
- Abstract：To understand the concentrations and sources of atmospheric pollutants in urban Chengdu, Sichuan, the observations of SO2, NO2, O3, PM2.5, PM10 and CO, along with meteorological factors, were conducted at three stations of Shilidian, Liangjiaxiang and Caotangsi, from June 1 to August 31, 2013. The results showed that there were 22%, 37% and 42% of the days with O3 hourly concentration exceeding the National Air Quality Standard of GradeⅡat the above three sites, respectively. The particulate pollution was also serious at the above three sites, and the frequencies of days with excessive concentrations were 13%, 8% and 3% for PM10, and 34%, 27% and 26% for PM2.5, respectively. The peaks of NO2 and CO concentrations in the morning and night were due to the vehicles emission and the mixing layer height. However, the concentrations of O3 maximized at noon because of strong ultraviolet radiation. In addition, PM2.5 and PM10 had the diurnal variation of highest in the morning and lowest in the afternoon as a result of morning rush hours and afternoon favorable diffusion conditions. We also found that the concentrations of O3, PM2.5 and PM10 at weekend were higher than on weekdays, while the reverse is true for SO2, NO2 and CO. Finally, the preliminary analysis suggested that the atmospheric pollution in urban Chengdu was related to local emission and regional transport. For example, PM10 and NO2 were controlled by local sources, whereas PM2.5, SO2 and O3 were influenced by regional transport.
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