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| The separation of carbon dioxide from industrial sources using nanoporous carbon | |
| 项目编号 | LX0560759 |
| Sandra Kentish | |
| 项目主持机构 | The University of Melbourne |
| 开始日期 | 2005 |
| 结束日期 | 2008-12-31 |
| 英文摘要 | The overall objective of this proposed project is to develop, validate, and apply fine particulate matter (PM) source apportionment techniques for measurements made with the Aerodyne Aerosol Mass Spectrometer (AMS). The AMS is the only current real-time instrument that provides quantitative size-resolved organic aerosol data with a time resolution of a few minutes. AMS organic data have less fragmentation and thus are more specific for source apportionment than data from laser-ablation mass spectrometers. We expect a number of instruments being developed to improve organic detection specificity via chemical ionization and/or photoionization. The proposed efforts will focus on AMS data but willprovide the foundation for using other such data for source apportionment.Preliminary results (section E.2.3) indicate that AMS organic aerosol data are sufficiently specific to address the critical need for source apportionment of organic aerosols with very high time resolution. We will investigate various approaches for apportioning AMS organic data, including: (a) custom techniques that take advantage of our understanding of the data; (b) Advanced Data Mining techniques currently being developed by the University of Wisconsin (under NSF funding); and (c) standard multivariate receptor models (e.g., UNMIX and PMF). We will test all models with simulated AMS data with several overlapping sources. We will then apply these methods to the well-characterized AMS datasets from the Pittsburgh, New York City, and Houston EPA Supersites. We will carry out a new field campaign (using three AMSs) with two objectives: (1) compare with the well-established chemical mass balance (CMB) method from collocated organic molecular marker data; and (2) demonstrate the improvements in organic source apportionment from three new techniques designed to improve the sensitivity and selectivity of the AMS for organic aerosols: a time-of-flight mass spectrometer (replacing the quadrupole used in the standard AMS), low temperature vaporization, and thermal denuding.The primary result of this project will be to demonstrate and validate source apportionment of organic aerosols with very high time resolution using AMS data. The results of this project can have a rapid and broad impact because the techniques developed here can be used by many researchers around the world, including the more than 25 research groups with an AMS. In addition, these techniques and algorithms will also provide the foundation for source apportionment using data from emerging and future quantitative aerosol mass spectrometers. |
| 英文关键词 | multivariate methods;single particle mass spectrometry |
| 学科分类 | 0506 - 化学工程及工业化学;05 - 化学科学 |
| 资助机构 | AU-ARC |
| 项目经费 | 24100 |
| 国家 | AU |
| 语种 | 英语 |
| 文献类型 | 项目 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/76929 |
| 推荐引用方式 GB/T 7714 | Sandra Kentish.The separation of carbon dioxide from industrial sources using nanoporous carbon.2005. |
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