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中国杭州一个多功能混合区域大气中与颗粒物结合的多环芳烃的季节变化及来源解析

Seasonal variations and source apportionment of atmospheric PM-bound polycyclic aromatic hydrocarbons in a mixed multi-function area of Hangzhou, China.

作者信息

Lu Hao, Wang Shengsheng, Li Yun, Gong Hui, Han Jingyi, Wu Zuliang, Yao Shuiliang, Zhang Xuming, Tang Xiujuan, Jiang Boqiong

机构信息

School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou, Zhejiang, 310018, China.

出版信息

Environ Sci Pollut Res Int. 2017 Jul;24(19):16195-16205. doi: 10.1007/s11356-017-9265-1. Epub 2017 May 24.

DOI:10.1007/s11356-017-9265-1
PMID:28540542
Abstract

To reveal the seasonal variations and sources of PM-bound polycyclic aromatic hydrocarbons (PAHs) during haze and non-haze episodes, daily PM samples were collected from March 2015 to February 2016 in a mixed multi-function area in Hangzhou, China. Ambient concentrations of 16 priority-controlled PAHs were determined. The sums of PM-bound PAH concentrations during the haze episodes were 4.52 ± 3.32 and 13.6 ± 6.29 ng m in warm and cold seasons, respectively, which were 1.99 and 1.49 times those during the non-haze episodes. Four PAH sources were identified using the positive matrix factorization model and conditional probability function, which were vehicular emissions (45%), heavy oil combustion (23%), coal and natural gas combustion (22%), and biomass combustion (10%). The four source concentrations of PAHs consistently showed higher levels in the cold season, compared with those in the warm season. Vehicular emissions were the most considerable sources that result in the increase of PM-bound PAH levels during the haze episodes, and heavy oil combustion played an important role in the aggravation of haze pollution. The analysis of air mass back trajectories indicated that air mass transport had an influence on the PM-bound PAH pollution, especially on the increased contributions from coal combustion and vehicular emissions in the cold season.

摘要

为揭示雾霾和非雾霾期间与颗粒物结合的多环芳烃(PAHs)的季节变化及来源,于2015年3月至2016年2月在中国杭州一个多功能混合区域采集了每日的颗粒物样本。测定了16种优先控制的多环芳烃的环境浓度。在温暖季节和寒冷季节,雾霾期间与颗粒物结合的多环芳烃浓度总和分别为4.52±3.32和13.6±6.29 ng/m³,分别是非雾霾期间的1.99倍和1.49倍。使用正定矩阵因子分解模型和条件概率函数确定了4种多环芳烃来源,分别为机动车排放(45%)、重油燃烧(23%)、煤炭和天然气燃烧(22%)以及生物质燃烧(10%)。与温暖季节相比,这4种来源的多环芳烃浓度在寒冷季节始终呈现较高水平。机动车排放是导致雾霾期间与颗粒物结合的多环芳烃水平升高的最主要来源,重油燃烧在雾霾污染加剧过程中起重要作用。气团后向轨迹分析表明,气团传输对与颗粒物结合的多环芳烃污染有影响,尤其是在寒冷季节对煤炭燃烧和机动车排放增加的贡献有影响。

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