標題: | Comparison and implications of PM2.5 carbon fractions in different environments |
作者: | Zhu, Chong-Shu Cao, Jun-Ji Tsai, Chuen-Jinn Shen, Zhen-Xing Han, Yong-Ming Liu, Sui-Xin Zhao, Zhu-Zi 環境工程研究所 Institute of Environmental Engineering |
關鍵字: | PM2.5;Elemental carbon;Organic carbon;OC/EC;Char/soot |
公開日期: | 1-Jan-2014 |
摘要: | The concentrations of PM2.5 carbon fractions in rural, urban, tunnel and remote environments were measured using the IMPROVE thermal optical reflectance (TOR) method. The highest OC1 and EC1 concentrations were found for tunnel samples, while the highest OC2, OC3, and OC4 concentrations were observed for urban winter samples, respectively. The lowest levels of most carbon fractions were found for remote samples. The percentage contributions of carbon fractions to total carbon (TC) were characterized by one peak (at rural and remote sites) and two peaks (at urban and tunnel sites) with different carbon fractions, respectively. The abundance of char in tunnel and urban environments was observed, which might partly be due to traffic-related tire-wear. Various percentages of optically scattering OC and absorbing EC fractions to TC were found in the four different environments. In addition, the contribution of heating carbon fractions (char and soot) indicated various warming effects per unit mass of TC. The ratios of OC/EC and char/soot at the sites were shown to be source indicators. The investigation of carbon fractions at different sites may provide some information for improving model parameters in estimating their radiative effects. (C) 2013 Elsevier B.V. All rights reserved. |
URI: | http://dx.doi.org/10.1016/j.scitotenv.2013.07.029 http://hdl.handle.net/11536/23882 |
ISSN: | 0048-9697 |
DOI: | 10.1016/j.scitotenv.2013.07.029 |
期刊: | SCIENCE OF THE TOTAL ENVIRONMENT |
Volume: | 466 |
Issue: | |
起始頁: | 203 |
結束頁: | 209 |
Appears in Collections: | Articles |
Files in This Item:
If it is a zip file, please download the file and unzip it, then open index.html in a browser to view the full text content.