4.7 Article

Measurements of emission factors of PM2.5, OC, EC, and BC for household stoves of coal combustion in China

期刊

ATMOSPHERIC ENVIRONMENT
卷 109, 期 -, 页码 190-196

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2015.03.023

关键词

Emission factor; Experimental measurement; Fine particle; Black carbon; Elemental carbon; Residential coal combustion

资金

  1. Strategic Priority Research Programs of CAS [XDB05030303, XDA05100402]
  2. National Natural Science Foundations of China [41473091, 41173098, 41173121, 41273135]

向作者/读者索取更多资源

As follow-up efforts for measurements on emission factors (EFs) of fine particulate matter (PM2.5) and its carbonaceous fractions for China's household coal stoves, a large-sized dilution sampling system was designed to test a total of 20 coal/stove combinations, which involve five coals with wide-ranged geological maturities and three stoves. Coal smoke was simultaneously collected onto quartz filter for organic carbon (OC) and elemental carbon (EC) analyses by thermal-optical reflectance (TOR) protocol and monitored online for optical black carbon (BC) by Aethalometer. The mean EFs based on burned fuel weight of PM2.5, OC, EC, and BC are 4.25 +/- 2.45, 1.11 +/- 0.72, 1.43 +/- 1.17, and 0.60 +/- 0.42 g/kg for bituminous coal, and 1.44 +/- 0.67, 0.05 +/- 0.02, 0.04 +/- 0.02, and 0.01 +/- 0.01 g/kg for anthracite, respectively. Significant differences are observed among the EFs for various coal/stove combinations, which are attributable to the differences of coal maturity, burning style and stove efficiency. Although the EFs of BC and EC are closely correlated (r = 0.97), the average BC/EC ratio is only 0.39, indicating a significant gap between the two methods; and the optical attenuation cross-section (sigma) for fresh coal smoke can be deduced as 6.47 m(2)/g, much lower than the manufacturer's preset value of 16.6 m(2)/g for Aethalometer. (C) 2015 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据