Knowledge Management System Of Institute of Earth Environment, CAS
Separation of brown carbon from black carbon for IMPROVE and Chemical Speciation Network PM2.5 samples | |
Chow, Judith C.1,2; Watson, John G.1,2; Green, Mark C.1; Wang, Xiaoliang1; Chen, L. -W. Antony3; Trimble, Dana L.1; Cropper, Paul M.1; Kohl, Steven D.1; Gronstal, Steven B.1 | |
2018 | |
发表期刊 | JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION |
卷号 | 68期号:5页码:494-510 |
文章类型 | Article |
摘要 | The replacement of the Desert Research Institute (DRI) model 2001 with model 2015 thermal/optical analyzers (TOAs) results in continuity of the long-term organic carbon (OC) and elemental carbon (EC) database, and it adds optical information with no additional carbon analysis effort. The value of multiwavelength light attenuation is that light absorption due to black carbon (BC) can be separated from that of brown carbon (BrC), with subsequent attribution to known sources such as biomass burning and secondary organic aerosols. There is evidence of filter loading effects for the 25% of all samples with the highest EC concentrations based on the ratio of light attenuation to EC. Loading corrections similar to those used for the seven-wavelength aethalometer need to be investigated. On average, nonurban Interagency Monitoring of PROtected Visual Environments (IMPROVE) samples show higher BrC fractions of short-wavelength absorption than urban Chemical Speciation Network (CSN) samples, owing to greater influence from biomass burning and aged aerosols, as well as to higher primary BC contributions from engine exhaust at urban sites. Sequential samples taken during an Everglades National Park wildfire demonstrate the evolution from flaming to smoldering combustion, with the BrC fraction increasing as smoldering begins to dominate the fire event.Implications: The inclusion of seven wavelengths in thermal/optical carbon analysis of speciated PM2.5 (particulate matter with an aerodynamic diameter 2.5 m) samples allows contributions from biomass burning and secondary organic aerosols to be estimated. This separation is useful for evaluating control strategy effectiveness, identifying exceptional events, and determining natural visibility conditions. |
WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine ; Physical Sciences |
DOI | 10.1080/10962247.2018.1426653 |
关键词[WOS] | AEROSOL LIGHT-ABSORPTION ; ELEMENTAL CARBON ; PARTICULATE MATTER ; UNITED-STATES ; AIR-QUALITY ; SPECTRAL DEPENDENCE ; CHANGING ASSESSMENT ; ORGANIC-CARBON ; PUBLIC-HEALTH ; AETHALOMETER |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS类目 | Engineering, Environmental ; Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000431584700010 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ieecas.cn/handle/361006/5162 |
专题 | 黄土与第四纪地质国家重点实验室(2010~) |
作者单位 | 1.Desert Res Inst, Div Atmospher Sci, 2215 Raggio Pkwy, Reno, NV 89512 USA 2.Chinese Acad Sci, Inst Earth Environm, SKLLQG, Xian, Shaanxi, Peoples R China 3.Univ Nevada, Dept Environm & Occupat Hlth, Las Vegas, NV 89154 USA |
推荐引用方式 GB/T 7714 | Chow, Judith C.,Watson, John G.,Green, Mark C.,et al. Separation of brown carbon from black carbon for IMPROVE and Chemical Speciation Network PM2.5 samples[J]. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION,2018,68(5):494-510. |
APA | Chow, Judith C..,Watson, John G..,Green, Mark C..,Wang, Xiaoliang.,Chen, L. -W. Antony.,...&Gronstal, Steven B..(2018).Separation of brown carbon from black carbon for IMPROVE and Chemical Speciation Network PM2.5 samples.JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION,68(5),494-510. |
MLA | Chow, Judith C.,et al."Separation of brown carbon from black carbon for IMPROVE and Chemical Speciation Network PM2.5 samples".JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION 68.5(2018):494-510. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Separation of brown (6015KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 请求全文 |
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