Tian Ying-Ze, Chen Jia-Bao, Zhang Lin-Lin, Du Xin, Wei Jin-Jin, Fan Hui, Xu Jiao, Wang Hai-Ting, Guan Liao, Shi Guo-Liang, Feng Yin-Chang
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
Nanning Environment Protection and Monitoring Station, Nanning, 530015, China.
Chemosphere. 2017 Dec;189:255-264. doi: 10.1016/j.chemosphere.2017.09.044. Epub 2017 Sep 14.
Source and ambient samples were collected in a city in China that uses considerable biofuel, to assess influence of biofuel combustion and other sources on particulate matter (PM). Profiles and size distribution of biofuel combustion were investigated. Higher levels in source profiles, a significant increase in heavy-biomass ambient and stronger correlations of K, Cl, OC and EC suggest that they can be tracers of biofuel combustion. And char-EC/soot-EC (8.5 for PM and 15.8 for PM of source samples) can also be used to distinguish it. In source samples, water-soluble organic carbon (WSOC) were approximately 28.0%-68.8% (PM) and 27.2%-43.8% (PM) of OC. For size distribution, biofuel combustion mainly produces smaller particles. OC1, OC2, EC1 and EC2 abundances showed two peaks with one below 1 μm and one above 2 μm. An advanced three-way factory analysis model was applied to quantify source contributions to ambient PM and PM. Higher contributions of coal combustion, vehicular emission, nitrate and biofuel combustion occurred during the heavy-biomass period, and higher contributions of sulfate and crustal dust were observed during the light-biomass period. Mass and percentage contributions of biofuel combustion were significantly higher in heavy-biomass period. The biofuel combustion attributed above 45% of K and Cl, above 30% of EC and about 20% of OC. In addition, through analysis of source profiles and contributions, they were consistently evident that biofuel combustion and crustal dust contributed more to cation than to anion, while sulfate & SOC and nitrate showed stronger influence on anion than on cation.
在中国一个大量使用生物燃料的城市采集了源样品和环境样品,以评估生物燃料燃烧及其他源对颗粒物(PM)的影响。研究了生物燃料燃烧的特征和粒径分布。源特征中某些成分含量较高、重生物质环境中显著增加以及钾、氯、有机碳(OC)和元素碳(EC)的更强相关性表明,它们可作为生物燃料燃烧的示踪剂。而且,焦炭态EC/烟炱态EC(PM为8.5,源样品的PM为15.8)也可用于区分生物燃料燃烧。在源样品中,水溶性有机碳(WSOC)约占OC的28.0% - 68.8%(PM)和27.2% - 43.8%(PM)。对于粒径分布,生物燃料燃烧主要产生较小的颗粒。OC1、OC2、EC1和EC2的丰度呈现两个峰值,一个在1μm以下,一个在2μm以上。应用先进的三端元分析模型来量化源对环境PM和PM的贡献。在重生物质时期,煤炭燃烧、机动车排放、硝酸盐和生物燃料燃烧的贡献较高,而在轻生物质时期,硫酸盐和地壳尘埃的贡献较高。在重生物质时期,生物燃料燃烧的质量和百分比贡献显著更高。生物燃料燃烧对钾和氯的贡献超过45%,对EC的贡献超过30%,对OC的贡献约为20%。此外,通过对源特征和贡献的分析,始终明显的是,生物燃料燃烧和地壳尘埃对阳离子的贡献大于对阴离子的贡献,而硫酸盐和SOC以及硝酸盐对阴离子的影响比对阳离子的影响更强。