气候变化领域集成服务门户(CCPortal): Estimating representative background PM2.5 concentration in heavily polluted areas using baseline separation technique and chemical mass balance model

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DOI	10.1016/j.atmosenv.2017.11.045
	Estimating representative background PM2.5 concentration in heavily polluted areas using baseline separation technique and chemical mass balance model
	Gao, Shuang; Yang, Wen; Zhang, Hui; Sun, Yanling; Mao, Jian; Ma, Zhenxing; Cong, Zhiyuan; Zhang, Xian; Tian, Shasha; Azzi, Merched; Chen, Li; Bai, Zhipeng
通讯作者	Chen, L ; Bai, ZP (通讯作者)
发表日期	2018
ISSN	1352-2310
EISSN	1873-2844
起始页码	180
结束页码	187
卷号	174
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.
关键词	AIR-POLLUTION SOURCE APPORTIONMENT SITE EXPOSURE STATION HAIKOU GASES CHINA PM10
英文关键词	Background concentration; PM2.5; Air pollutant; Time-series; Baseline separation; Chemical mass balance model
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000423888400017
来源期刊	ATMOSPHERIC ENVIRONMENT
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259245
推荐引用方式 GB/T 7714	Gao, Shuang,Yang, Wen,Zhang, Hui,et al. Estimating representative background PM2.5 concentration in heavily polluted areas using baseline separation technique and chemical mass balance model[J]. 中国科学院青藏高原研究所,2018,174.
APA	Gao, Shuang.,Yang, Wen.,Zhang, Hui.,Sun, Yanling.,Mao, Jian.,...&Bai, Zhipeng.(2018).Estimating representative background PM2.5 concentration in heavily polluted areas using baseline separation technique and chemical mass balance model.ATMOSPHERIC ENVIRONMENT,174.
MLA	Gao, Shuang,et al."Estimating representative background PM2.5 concentration in heavily polluted areas using baseline separation technique and chemical mass balance model".ATMOSPHERIC ENVIRONMENT 174(2018).