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基于本地碳特征的重庆细颗粒物(PM2.5)碳源解析

[Carbon source apportionment of PM2.5 in Chongqing based on local carbon profiles].

作者信息

Zhang Can, Zhou Zhi-En, Zhai Chong-Zhi, Bai Zhi-Peng, Chen Gang-Cai, Ji Ya-Qin, Ren Li-Hong, Fang Wei-Kai

出版信息

Huan Jing Ke Xue. 2014 Mar;35(3):810-9.

Abstract

PM2.5 was sampled from commercial, industrial and residential areas in Chongqing urban city from 2nd May to 10th May 2012 in order to find out characteristics and sources of carbon in PM2.5. Eight kinds of carbons were analyzed by the TOR method. Characteristics of carbon pollution in PM2.5 from three kinds of functional areas and six kinds of sources, including coal-combustion, exhausts (vehicle, boat and construction machine), biomass burning, cooking smoke, were analyzed. Based on carbon source profiles, local indicating components of carbon sources in PM2.5 were obtained used the chemical mass balance (CMB) model. Contribution rate of different sources to PM2.5 carbon were parsed out by factor analysis. The results showed the OC/EC of coal-combustion, vehicle exhausts, boat exhausts, construction machine exhausts, biomass burning and cooking smoke were 6.3, 3.0, 1.9, 1.4, 12.7 and 31.3, respectively. High loads of EC2 and EC3 indicated diesel vehicle exhaust emissions, high loads of OC2, OC3, OC4 and OPC indicated coal-combustion emissions, OC1, OC2, OC3, OC4 and EC1 indicated gasoline vehicle exhaust emissions, OC3 indicated cooking emissions, and OPC indicated biomass burning emissions. OC/PM2.5, EC/PM2.5, secondary organic carbon (SOC)/OC in the commercial area were 17.4%, 6.9% and 40.0%, respectively. OC/PM2.5, EC/PM2.5 and SOC/OC in the industrial area were 15.5%, 6.6% and 37.4%, respectively. OC/PM2.5, EC/PM2.5 and SOC/OC in the residential area were 14.6% 5.6% and 42.8%, respectively. In the industrial area, the main sources of carbon in PM2.5 were coal combustion, gasoline vehicle exhausts and diesel exhaust. In the commercial area, the main sources of carbon were gasoline vehicle exhausts, diesel exhausts and cooking. In the residential area, the main sources of carbon were gasoline vehicle exhausts, cooking smoke and diesel exhausts.

摘要

2012年5月2日至5月10日,在重庆市主城区的商业区、工业区和居民区采集了细颗粒物(PM2.5)样本,以了解PM2.5中碳的特征和来源。采用热光反射(TOR)法分析了8种碳。分析了来自三种功能区和六种源(包括煤炭燃烧、尾气排放(车辆、船舶和施工机械)、生物质燃烧、烹饪油烟)的PM2.5中碳污染的特征。基于碳源谱,利用化学质量平衡(CMB)模型获得了PM2.5中碳源的本地指示成分。通过因子分析解析了不同源对PM2.5碳的贡献率。结果表明,煤炭燃烧、汽车尾气、船舶尾气、施工机械尾气、生物质燃烧和烹饪油烟的有机碳/元素碳(OC/EC)分别为6.3、3.0、1.9、1.4、12.7和31.3。EC2和EC3的高负荷表明柴油车尾气排放,OC2、OC3、OC4和有机聚合物碳(OPC)的高负荷表明煤炭燃烧排放,OC1、OC2、OC3、OC4和EC1表明汽油车尾气排放,OC3表明烹饪排放,OPC表明生物质燃烧排放。商业区的OC/PM2.5、EC/PM2.5、二次有机碳(SOC)/OC分别为17.4%、6.9%和40.0%。工业区的OC/PM2.5、EC/PM2.5和SOC/OC分别为15.5%、6.6%和37.4%。居民区的OC/PM2.5、EC/PM2.5和SOC/OC分别为14.6%、5.6%和42.8%。在工业区,PM2.5中碳的主要来源是煤炭燃烧、汽油车尾气和柴油尾气。在商业区,碳的主要来源是汽油车尾气、柴油尾气和烹饪。在居民区,碳的主要来源是汽油车尾气、烹饪油烟和柴油尾气。

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