Published 2013
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Development of Positive Matrix Factorization Model (PMF) to Annual Study of the PM2.5 Organic Composition in ChapinerIa
Description
The Positive Matrix Factorization (PMF) application to a set of PM2.5 data collected in a rural area of Madrid for a period of 1 year has been developed. Results has let describing the particulate faction of atmospheric aerosol collected in Chapineria according to 7 factor, among them fossil fuel combustion by traffic, wax plants, primary emissions of organic carbon, crustal material, and secondary organic aerosol. Five of these factors are related to primary particles; meanwhile only one factor has been associated to secondary particles. Finally, a factor has not been associated to any known source of particulate matter. (Author)
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44060243.pdf
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Additional details
Additional titles
- Original title (Spanish)
- Desarrollo del Modelo de Factorizacion de la Matriz Positiva (PMF) al Estudio Anual de la Composicion Organica del PM2.5 en Chapineria
Publishing Information
- Imprint Pagination
- 64 p.
- Report number
- CIEMAT--1283
INIS
- Country of Publication
- Spain
- Country of Input or Organization
- Spain
- INIS RN
- 44060243
- Subject category
- S54: ENVIRONMENTAL SCIENCES;
- Descriptors DEI
- AEROSOLS; ATMOSPHERIC CHEMISTRY; CHEMICAL ANALYSIS; CHROMATOGRAPHY; ORGANIC COMPOUNDS; POLLUTANTS; RURAL AREAS
- Descriptors DEC
- CHEMISTRY; COLLOIDS; DISPERSIONS; SEPARATION PROCESSES; SOLS