| 项目编号: | 1543786
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| 项目名称: | Spatial Variability in Organic Aerosol: Relationships between Sources, Processing, and Composition |
| 作者: | Albert Presto
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| 承担单位: | Carnegie-Mellon University
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| 批准年: | 2014
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| 开始日期: | 2015-12-01
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| 结束日期: | 2018-11-30
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| 资助金额: | USD599859
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Atmospheric and Geospace Sciences
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| 英文关键词: | chemical processing
; variability
; composition
; organic aerosol
; background aerosol
; temporal variability
; source contribution
; spatial variability
; spatial-temporal variability
; oa source
; oa composition
; emission source
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| 英文摘要: | This project focuses on developing a better understanding of the factors governing spatial and temporal variations in fine particle concentration and composition in the atmosphere, with specific emphasis on variability in organic aerosol (OA). Spatial variability of fine particles in the atmosphere derives in part from spatial-temporal trends in emissions sources, the subsequent mixing of these emissions with background air, and the physical and chemical processing of the emissions.
The specific objectives of the research are: (1) Determine spatial-temporal variability in OA composition through a series of ambient measurements in a region with significant contributions from traffic, background aerosol, and industrial emissions; (2) Relate this variability to spatial and temporal variability in sources and chemical processing, with the goal of identifying source contributions to OA with high fidelity and specificity; and (3) Develop an improved understanding of how physical (e.g., evaporation) and chemical (e.g., oxidation) transformations affect ambient OA concentrations and composition over relevant spatial and temporal scales (seconds to days, ~10 m - 100 km). The project will focus on a series of case studies (industrial-dominated, traffic-dominated, urban-rural transect) to investigate OA emissions and subsequent physical and chemical processing, and use factor analysis and cluster analysis tools to determine OA sources and to probe its chemical evolution. The sampling network in Pittsburgh PA consists of a stationary sampling site, around which a mobile laboratory will be deployed to characterize spatial variations. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/93053
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Albert Presto. Spatial Variability in Organic Aerosol: Relationships between Sources, Processing, and Composition. 2014-01-01.
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