DOI: 10.1016/j.atmosenv.2014.09.021
Scopus记录号: 2-s2.0-84907069467
论文题名: Source-receptor reconciliation of fine-particulate emissions from residential wood combustion in the southeastern United States
作者: Napelenok S ; L ; , Vedantham R ; , Bhave P ; V ; , Pouliot G ; A ; , Kwok R ; H ; F
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2014
卷: 98 起始页码: 454
结束页码: 460
语种: 英语
英文关键词: Air quality model
; Carbon
; Particulate matter
; Residential wood combustion
; Source apportionment
Scopus关键词: Air quality modeling
; Particulate Matter
; Residential wood combustions
; Source apportionment
; Source-receptor
; Carbon
; carbon
; levoglucosan
; air quality
; biomass burning
; carbon
; emission inventory
; particulate matter
; tracer
; wood
; air pollution
; air quality
; ambient air
; Article
; biomass
; chemical analysis
; combustion
; community multiscale air quality model
; fine particulate air pollution
; integrated source apportionment method
; measurement
; particulate matter
; residential area
; residential wood combustion
; statistical model
; United States
; unmix
; wood
; United States
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: An extensive collection of speciated PM2.5 measurements including organic tracers permitted a detailed examination of the emissions from residential wood combustion (RWC) in the southeastern United States over an entire year (2007). The Community Multiscale Air Quality model-based Integrated Source Apportionment Method (CMAQ-ISAM) was used in combination with the U.S. National Emissions Inventory (NEI) to compute source contributions from ten categories of biomass combustion, including RWC. A novel application of the receptor-based statistical model, Unmix, was used to subdivide the observed concentrations of levoglucosan, a unique tracer of biomass combustion. Using the CMAQ-ISAM and Unmix models together, we find that the emission-based RWC contribution to ambient carbonaceous PM2.5 predicted by the model is approximately a factor of two lower than indicated by observations. Recommendations for improving the temporal allocation of the emissions are proposed and tested to show a potential improvement in model RWC predictions, quantified by approximately 15% less bias. Further improvements in the sector predictions could be achieved with a survey-based analysis of detailed RWC emission patterns. © 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80623
Appears in Collections: 气候变化事实与影响
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作者单位: United States Environmental Protection Agency, Research Triangle Park, NC, United States; International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, Nepal
Recommended Citation:
Napelenok S,L,, Vedantham R,et al. Source-receptor reconciliation of fine-particulate emissions from residential wood combustion in the southeastern United States[J]. Atmospheric Environment,2014-01-01,98