Estimating representative background PM2.5 concentration in heavily polluted areas using baseline separation technique and chemical mass balance model
文献类型：期刊论文
| 作者 | Gao, S (Gao, Shuang)2; Yang, W (Yang, Wen)3; Zhang, H (Zhang, Hui)2; Sun, YL (Sun, Yanling)2; Mao, J (Mao, Jian)2; Ma, ZX (Ma, Zhenxing)2; Cong, ZY (Cong, Zhiyuan)4; Zhang, X (Zhang, Xian)2; Tian, SS (Tian, Shasha)2; Azzi, M (Azzi, Merched)1 |
| 刊名 | ATMOSPHERIC ENVIRONMENT
 |
| 出版日期 | 2018-02-01 |
| 卷号 | 174期号:0页码:180-187 |
| 关键词 | AIR-POLLUTION SOURCE APPORTIONMENT SITE EXPOSURE STATION HAIKOU GASES CHINA PM10 |
| ISSN号 | 1352-2310 |
| DOI | 10.1016/j.atmosenv.2017.11.045 |
| 英文摘要 | The determination of background concentration of PM2.5 is important to understand the contribution of local emission sources to total PM2.5 concentration. The purpose of this study was to exam the performance of baseline separation techniques to estimate PM2.5 background concentration. Five separation methods, which included recursive digital filters (Lyne-Hollick, one-parameter algorithm, and Boughton two-parameter algorithm), sliding interval and smoothed minima, were applied to one-year PM2.5 time-series data in two heavily polluted cities, Tianjin and Jinan. To obtain the proper filter parameters and recession constants for the separation techniques, we conducted regression analysis at a background site during the emission reduction period enforced by the Government for the 2014 Asia-Pacific Economic Cooperation (APEC) meeting in Beijing. Background concentrations in Tianjin and Jinan were then estimated by applying the determined filter parameters and recession constants. The chemical mass balance (CMB) model was also applied to ascertain the effectiveness of the new approach. Our results showed that the contribution of background PM concentration to ambient pollution was at a comparable level to the contribution obtained from the previous study. The best performance was achieved using the Boughton two-parameter algorithm. The background concentrations were estimated at (27 +/- 2) mu g/m(3) for the whole year, (34 +/- 4) mu g/m(3) for the heating period (winter), (21 +/- 2) mu g/m(3) for the non-heating period (summer), and (25 +/- 2) mu g/m(3) for the sandstorm period in Tianjin. The corresponding values in Jinan were (30 +/- 3) mu g/m3, (40 +/- 4) mu g/m(3), (24 +/- 5) mu g/m(3), and (26 +/- 2) mu g/m(3), respectively. The study revealed that these baseline separation techniques are valid for estimating levels of PM2.5 air pollution, and that our proposed method has great potential for estimating the background level of other air pollutants. |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000423888400017 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.itpcas.ac.cn/handle/131C11/8747]  |
| 专题 | 青藏高原研究所_图书馆 |
| 作者单位 | 1.Commonwealth Sci & Ind Res Org CSIRO Energy, N Ryde, NSW, Australia. 2.Tianjin Normal Univ, Sch Geog & Environm Sci, Tianjin, Peoples R China; 3.Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing, Peoples R China; 4.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Gao, S ,Yang, W ,Zhang, H ,et al. Estimating representative background PM2.5 concentration in heavily polluted areas using baseline separation technique and chemical mass balance model[J]. ATMOSPHERIC ENVIRONMENT,2018,174(0):180-187. |
| APA | Gao, S .,Yang, W .,Zhang, H .,Sun, YL .,Mao, J .,...&Bai, ZP .(2018).Estimating representative background PM2.5 concentration in heavily polluted areas using baseline separation technique and chemical mass balance model.ATMOSPHERIC ENVIRONMENT,174(0),180-187. |
| MLA | Gao, S ,et al."Estimating representative background PM2.5 concentration in heavily polluted areas using baseline separation technique and chemical mass balance model".ATMOSPHERIC ENVIRONMENT 174.0(2018):180-187. |
入库方式： OAI收割
来源：青藏高原研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。