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中国东部青岛市冬季空气污染特征及其来源分布。

Characteristics and source distribution of air pollution in winter in Qingdao, eastern China.

机构信息

College of Environmental Sciences and Engineering, Qingdao University, Qingdao 266071, China.

College of Environmental Sciences and Engineering, Qingdao University, Qingdao 266071, China.

出版信息

Environ Pollut. 2017 May;224:44-53. doi: 10.1016/j.envpol.2016.12.037. Epub 2017 Mar 9.

Abstract

To characterize air pollution and determine its source distribution in Qingdao, Shandong Province, we analyzed hourly national air quality monitoring network data of normal pollutants at nine sites from 1 November 2015 to 31 January 2016. The average hourly concentrations of particulate matter <2.5 μm (PM) and <10 μm (PM), SO, NO, 8-h O, and CO in Qingdao were 83, 129, 39, 41, and 41 μg m, and 1.243 mg m, respectively. During the polluted period, 19-26 December 2015, 29 December 2015 to 4 January 2016, and 14-17 January 2016, the mean 24-h PM concentration was 168 μg m with maximum of 311 μg m. PM was the main pollutant to contribute to the pollution during the above time. Heavier pollution and higher contributions of secondary formation to PM concentration were observed in December and January. Pollution pathways and source distribution were investigated using the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model and potential source contribution function (PSCF) and concentration weighted trajectory (CWT) analyses. A cluster from the west, originating in Shanxi, southern Hebei, and west Shandong Provinces, accounted for 44.1% of the total air masses, had a mean PM concentration of 134.9 μg m and 73.9% trajectories polluted. This area contributed the most to PM and PM levels, >160 and 300 μg m, respectively. In addition, primary crustal aerosols from desert of Inner Mongolia, and coarse and fine marine aerosols from the Yellow Sea contributed to ambient PM. The ambient pollutant concentrations in Qingdao in winter could be attributed to local primary emissions (e.g., coal combustion, vehicular, domestic and industrial emissions), secondary formation, and long distance transmission of emissions.

摘要

为了描述山东省青岛市的空气污染特征并确定其污染源分布,我们分析了 2015 年 11 月 1 日至 2016 年 1 月 31 日期间,9 个站点的国家空气质量监测网络的小时均值常规污染物数据。青岛的细颗粒物(PM)和粗颗粒物(PM)、SO、NO、8 小时 O 和 CO 的平均小时浓度分别为 83、129、39、41 和 41μg/m,以及 1.243mg/m。在污染期,即 2015 年 12 月 19 日至 26 日、2015 年 12 月 29 日至 2016 年 1 月 4 日和 2016 年 1 月 14 日至 17 日,24 小时 PM 浓度的平均值为 168μg/m,最大值为 311μg/m。PM 是造成上述时段污染的主要污染物。12 月和 1 月,污染更严重,PM 浓度中二次形成的贡献更高。利用 HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) 模型和潜在源贡献函数(PSCF)和浓度加权轨迹(CWT)分析,对污染路径和源分布进行了研究。一个来自西部的集群,起源于山西、河北南部和山东西部,占总空气团的 44.1%,平均 PM 浓度为 134.9μg/m,有 73.9%的轨迹受到污染。该地区对 PM 和 PM 水平的贡献最大,分别超过 160 和 300μg/m。此外,来自内蒙古沙漠的原生地壳气溶胶以及来自黄海的粗颗粒和细颗粒海洋气溶胶也会对环境 PM 产生贡献。冬季青岛的环境污染物浓度可归因于本地的一次排放(如煤炭燃烧、机动车、工业和家庭排放)、二次形成以及排放的长距离传输。

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