Articles | Volume 7, issue 3
https://doi.org/10.5194/acp-7-875-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-7-875-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
16 Feb 2007
Simplified representation of atmospheric aerosol size distributions using absolute principal component analysis
T. W. Chan
Department of Chemistry and Centre for Atmospheric Chemistry, York University, Toronto, Ontario, Canada
now at: Environment Canada, Toronto, Ontario, Canada
M. Mozurkewich
Department of Chemistry and Centre for Atmospheric Chemistry, York University, Toronto, Ontario, Canada
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Cited
18 citations as recorded by crossref.
- A method for assessing nanomaterial dispersion quality based on principal component analysis of particle size distribution data R. Tantra et al. https://doi.org/10.1016/j.partic.2014.10.004
- Source apportionment of ultrafine particles in urban Europe M. Garcia-Marlès et al. https://doi.org/10.1016/j.envint.2024.109149
- Tracing anthropogenic signatures of heavy metal dispersion and risk profiling in marine sediments of tuticorin’s industrial coast V. Jeyasingh et al. https://doi.org/10.1007/s10236-025-01757-5
- Application of absolute principal component analysis to size distribution data: identification of particle origins T. Chan & M. Mozurkewich https://doi.org/10.5194/acp-7-887-2007
- Assessment of heavy metals contamination and sediment quality in Ondo coastal marine area, Nigeria O. Tunde & A. Oluwagbenga https://doi.org/10.1016/j.jafrearsci.2020.103903
- Indoor and outdoor sources of size-resolved mass concentration of particulate matter in a school gym—implications for exposure of exercising children M. Braniš et al. https://doi.org/10.1007/s11356-010-0405-0
- Elemental analyses and source apportionment of PM2.5 and PM2.5–10 aerosols from Nigerian urban cities G. Ezeh et al. https://doi.org/10.1080/23311843.2017.1323376
- Heavy metal concentrations in the estuarine core sediments recovered from the part of the coastal Cauvery Delta, Bay of Bengal, India B. Sathyanarayanan et al. https://doi.org/10.1007/s12517-024-11969-6
- Molecular Marker Study of Particulate Organic Matter in Southern Ontario Air S. Irei et al. https://doi.org/10.1155/2017/3504274
- Aerosol Absorption Coefficients Across Global Sites: Impacts of Chemical Composition, Emissions, and Meteorology A. Singh et al. https://doi.org/10.1016/j.atmosenv.2026.122391
- The complementarity of PIXE and PIGE techniques: A case study of size segregated airborne particulates collected from a Nigeria city G. Ezeh et al. https://doi.org/10.1016/j.apradiso.2015.05.015
- A strategy for grouping of nanomaterials based on key physico-chemical descriptors as a basis for safer-by-design NMs I. Lynch et al. https://doi.org/10.1016/j.nantod.2014.05.001
- Chemical composition and source apportionment of ambient PM2.5 in a coastal urban area, Northern Poland P. Siudek https://doi.org/10.1016/j.chemosphere.2024.141850
- Air mass origin and its influence over the aerosol size distribution: a study in SE Spain M. Cabello et al. https://doi.org/10.5194/asr-2-47-2008
- Spatio-temporal variability and principal components of the particle number size distribution in an urban atmosphere F. Costabile et al. https://doi.org/10.5194/acp-9-3163-2009
- Contribution of resuspension to particulate matter inmission levels in SE Spain J. Orza et al. https://doi.org/10.1016/j.jaridenv.2011.01.006
- Source Apportionment of PM10 Over Three Tropical Urban Atmospheres at Indo-Gangetic Plain of India: An Approach Using Different Receptor Models S. Jain et al. https://doi.org/10.1007/s00244-018-0572-4
- Source identification and apportionment of PM2.5 and PM2.5−10 in iron and steel scrap smelting factory environment using PMF, PCFA and UNMIX receptor models L. Ogundele et al. https://doi.org/10.1007/s10661-016-5585-8
18 citations as recorded by crossref.
- A method for assessing nanomaterial dispersion quality based on principal component analysis of particle size distribution data R. Tantra et al. https://doi.org/10.1016/j.partic.2014.10.004
- Source apportionment of ultrafine particles in urban Europe M. Garcia-Marlès et al. https://doi.org/10.1016/j.envint.2024.109149
- Tracing anthropogenic signatures of heavy metal dispersion and risk profiling in marine sediments of tuticorin’s industrial coast V. Jeyasingh et al. https://doi.org/10.1007/s10236-025-01757-5
- Application of absolute principal component analysis to size distribution data: identification of particle origins T. Chan & M. Mozurkewich https://doi.org/10.5194/acp-7-887-2007
- Assessment of heavy metals contamination and sediment quality in Ondo coastal marine area, Nigeria O. Tunde & A. Oluwagbenga https://doi.org/10.1016/j.jafrearsci.2020.103903
- Indoor and outdoor sources of size-resolved mass concentration of particulate matter in a school gym—implications for exposure of exercising children M. Braniš et al. https://doi.org/10.1007/s11356-010-0405-0
- Elemental analyses and source apportionment of PM2.5 and PM2.5–10 aerosols from Nigerian urban cities G. Ezeh et al. https://doi.org/10.1080/23311843.2017.1323376
- Heavy metal concentrations in the estuarine core sediments recovered from the part of the coastal Cauvery Delta, Bay of Bengal, India B. Sathyanarayanan et al. https://doi.org/10.1007/s12517-024-11969-6
- Molecular Marker Study of Particulate Organic Matter in Southern Ontario Air S. Irei et al. https://doi.org/10.1155/2017/3504274
- Aerosol Absorption Coefficients Across Global Sites: Impacts of Chemical Composition, Emissions, and Meteorology A. Singh et al. https://doi.org/10.1016/j.atmosenv.2026.122391
- The complementarity of PIXE and PIGE techniques: A case study of size segregated airborne particulates collected from a Nigeria city G. Ezeh et al. https://doi.org/10.1016/j.apradiso.2015.05.015
- A strategy for grouping of nanomaterials based on key physico-chemical descriptors as a basis for safer-by-design NMs I. Lynch et al. https://doi.org/10.1016/j.nantod.2014.05.001
- Chemical composition and source apportionment of ambient PM2.5 in a coastal urban area, Northern Poland P. Siudek https://doi.org/10.1016/j.chemosphere.2024.141850
- Air mass origin and its influence over the aerosol size distribution: a study in SE Spain M. Cabello et al. https://doi.org/10.5194/asr-2-47-2008
- Spatio-temporal variability and principal components of the particle number size distribution in an urban atmosphere F. Costabile et al. https://doi.org/10.5194/acp-9-3163-2009
- Contribution of resuspension to particulate matter inmission levels in SE Spain J. Orza et al. https://doi.org/10.1016/j.jaridenv.2011.01.006
- Source Apportionment of PM10 Over Three Tropical Urban Atmospheres at Indo-Gangetic Plain of India: An Approach Using Different Receptor Models S. Jain et al. https://doi.org/10.1007/s00244-018-0572-4
- Source identification and apportionment of PM2.5 and PM2.5−10 in iron and steel scrap smelting factory environment using PMF, PCFA and UNMIX receptor models L. Ogundele et al. https://doi.org/10.1007/s10661-016-5585-8
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