Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018JD029290 |
Estimation and Uncertainty Analysis of Secondary Organic Carbon Using 1 Year of Hourly Organic and Elemental Carbon Data | |
Wu, Cheng1,2; Wu, Dui1,2,3; Yu, Jian Zhen4,5,6 | |
2019-03-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:5页码:2774-2795 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Hourly particulate matter 2.5 organic carbon (OC) and elemental carbon (EC) ambient concentrations were measured from February 2012 to January 2013 at a suburban site in the city of Guangzhou, China. The major primary OC and EC sources at this site are vehicular exhaust and regional combustion sources. The annual average OC and EC concentrations (+/- 1SD) were 7.30 +/- 5.68 and 2.67 +/- 2.28 mu gC/m(3), respectively. Taking advantage of this large data set of more than 7,000 measurements, we examined the diurnal variation dynamics of the primary OC-to-EC ratio ([OC/EC](pri)), derived using the minimum R squared (MRS) method, which deploys an algorithm that calculates (OC/EC)(pri) by exploring the assumed independency between EC and secondary OC (SOC). The MRS-derived hour-by-hour (OC/EC)(pri) was the lowest (1.8-2.0) for the morning hours while higher (2.4-3.0) for the afternoon and evening hours. Cumulative evidence from other pollutant measurements suggests that the increase in MRS-derived (OC/EC)(pri) in the afternoon and evening was a result of SOC formation from photooxidation of precursors that covary with EC (e.g., vehicular exhaust) and thereby inflate (OC/EC)(pri). We subsequently separate SOC into two categories based on their correlations with EC, that is, SOCa that covary with EC and SOCb that is unassociated with EC variations. SOCa and SOCb make comparable contributions to SOC, demonstrating that their separation is essential for a more accurate SOC estimation. Otherwise, SOCa would be mistakenly accounted as primary OC. This approach in estimating SOC may underestimate SOCa and subject to bias stemming from OC emissions from cooking and biomass burning. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000462139800023 |
WOS关键词 | PEARL RIVER DELTA ; BLACK CARBON ; AEROSOL FORMATION ; CHEMICAL-COMPOSITION ; HONG-KONG ; PHOTOCHEMICAL OXIDATION ; ATMOSPHERIC AEROSOL ; SEASONAL-VARIATIONS ; PARTICULATE MATTER ; VEHICLE EMISSIONS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/181687 |
专题 | 气候变化 |
作者单位 | 1.Jinan Univ, Inst Mass Spectrometer & Atmospher Environm, Guangzhou, Guangdong, Peoples R China; 2.Guangdong Prov Engn Res Ctr On Line Source Apport, Guangzhou, Guangdong, Peoples R China; 3.China Meteorol Adm, Inst Trop & Marine Meteorol, Guangzhou, Guangdong, Peoples R China; 4.Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Kowloon, Hong Kong, Peoples R China; 5.Hong Kong Univ Sci & Technol, Atmospher Res Ctr, Fok Ying Tung Grad Sch, Kowloon, Hong Kong, Peoples R China; 6.Hong Kong Univ Sci & Technol, Dept Chem, Kowloon, Hong Kong, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Cheng,Wu, Dui,Yu, Jian Zhen. Estimation and Uncertainty Analysis of Secondary Organic Carbon Using 1 Year of Hourly Organic and Elemental Carbon Data[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(5):2774-2795. |
APA | Wu, Cheng,Wu, Dui,&Yu, Jian Zhen.(2019).Estimation and Uncertainty Analysis of Secondary Organic Carbon Using 1 Year of Hourly Organic and Elemental Carbon Data.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(5),2774-2795. |
MLA | Wu, Cheng,et al."Estimation and Uncertainty Analysis of Secondary Organic Carbon Using 1 Year of Hourly Organic and Elemental Carbon Data".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.5(2019):2774-2795. |
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