Seasonal and regional variations of source contributions for PM10 and PM2.5 in urban environment.

Seasonal and regional variations of source contributions for PM10 and PM2.5 in urban environment.
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DOI:
10.1016/j.scitotenv.2016.03.107
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发表时间:
2016-07
期刊:
The Science of the total environment
影响因子:
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通讯作者:
Yingze Tian;G. Shi;Yan-Qi Huang-Fu;Dan-lin Song;Jiayuan Liu;Lai-Dong Zhou;Yinchang Feng
Yingze Tian;G. Shi;Yan-Qi Huang-Fu;Dan-lin Song;Jiayuan Liu;Lai-Dong Zhou;Yinchang Feng
中科院分区:
其他
文献类型:
--
作者:
Yingze Tian;G. Shi;Yan-Qi Huang-Fu;Dan-lin Song;Jiayuan Liu;Lai-Dong Zhou;Yinchang Feng

文献摘要

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为了研究PM10和PM2. 5的来源,在2006-2014年期间,对中国某特大城市进行了长期、形态和同步采样。PM浓度和PM2.5/PM10值在冬季较高。Al、Si、Ca和Fe的百分比在夏季较高,OC、NO3−和SO 42 −的浓度在冬季较高。然后,通过先进的三向模型(定义为ABB三向模型)对源进行量化,该模型估计不同尺寸的不同轮廓。较高比例的水泥和地壳灰尘是在夏季,较高的分数的燃煤和硝酸盐+ SOC观察到在冬季。地壳和水泥贡献较大的部分,粗颗粒物的一部分,而车辆和二次源类别富集在PM2.5。最后,将潜在源贡献函数法(PSCF)和源区域分配法(SRA)与三因子模型相结合,对大气污染物的地理来源进行估算。在采样期间,东南部区域(R4)是大多数源类别的重要区域(0.6%-11.5%); R1(中心区域)也发挥了重要作用(0.3%-6.9%)。
To characterize the sources of to PM10and PM2.5, a long-term, speciate and simultaneous dataset was sampled in a megacity in China during the period of 2006–2014. The PM concentrations and PM2.5/PM10were higher in the winter. Higher percentages of Al, Si, Ca and Fe were observed in the summer, and higher concentrations of OC, NO3−and SO42 −occurred in the winter. Then, the sources were quantified by an advanced three-way model (defined as an ABB three-way model), which estimates different profiles for different sizes. A higher percentage of cement and crustal dust was present in the summer; higher fractions of coal combustion and nitrate + SOC were observed in the winter. Crustal and cement contributed larger portion to coarse part of PM10, whereas vehicular and secondary source categories were enriched in PM2.5. Finally, potential source contribution function (PSCF) and source regional apportionment (SRA) methods were combined with the three-way model to estimate geographical origins. During the sampling period, the southeast region (R4) was an important region for most source categories (0.6%–11.5%); the R1 (centre region) also played a vital role (0.3–6.9%).