Analysis of indoor particle size distributions in an occupied townhouse using positive matrix factorization

Ogulei, David; Hopke, Philip K.; Wallace, Lance

doi:10.1111/j.1600-0668.2006.00418.x

Cited by 93 publications

(55 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The FPEAK values were varied from -0.5 to 0.5 and evaluated using the G space plotting approach to explore the rotational space and identify the edges of the data. An FPEAK of 0 was found to correspond to good G space plots for both sites (Ogulei et al 2006a). The two PMF analyses that were performed for the full particle number concentration data and for the partial concentrations that corresponded with the other data were compared by correlating the G and F factors.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Source apportionment of ultrafine and fine particle concentrations in Brisbane, Australia

Friend

Ayoko

Jayaratne

et al. 2012

Environ Sci Pollut Res

View full text Add to dashboard Cite

Purpose: To investigate the significance of sources around measurement sites, assist the development of control strategies for the important sources and mitigate the adverse effects of air pollution due to particle size. Methods:In this study, sampling was conducted at two sites located in urban/industrial and residential areas situated at roadsides along the Brisbane Urban Corridor. Ultrafine and fine particle measurements obtained at the two sites in June-July 2002 were analysed by Positive Matrix Factorization (PMF).Results: Six sources were present, including local traffic, two traffic sources, biomass burning, and two currently unidentified sources. Secondary particles had a significant impact at Site 1, while nitrates, peak traffic hours and main roads located close to the source also affected the results for both sites.Conclusions: This significant traffic corridor exemplifies the type of sources present in heavily trafficked locations and future attempts to control pollution in this type of environment could focus on the sources that were identified.

show abstract

Section: Resultsmentioning

confidence: 99%

“…(Ogulei et al 2006a) The rotational parameter FPEAK is used to impose rotations on the solutions in order to obtain more physically reasonable results (Moon et al 2008).…”

Section: Positive Matrix Factorization (Pmf)mentioning

confidence: 99%

Source apportionment of ultrafine and fine particle concentrations in Brisbane, Australia

Friend

Ayoko

Jayaratne

et al. 2012

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…However, only very few efforts have utilized particle size measurements to identify sources of fine or ultrafine aerosol particles. Recently, PMF2 was employed to obtain source information based on ambient particle size distributions (Kim et al 2004;Zhou et al 2005a, b;Ogulei et al 2006b) as well as indoor particle size distributions (Ogulei et al 2006a). …”

Section: Introductionmentioning

confidence: 99%

Modeling Source Contributions to Submicron Particle Number Concentrations Measured in Rochester, New York

Ogulei

Hopke

Chalupa

et al. 2007

Aerosol Science and Technology

View full text Add to dashboard Cite

An advanced receptor model was used to elicit source information based on ambient submicron (0.01-0.47 µm) particle number concentrations, gaseous species, and meteorological variables measured at the New York State Department of Environmental Conservation central monitoring site in Rochester, NY. Four seasonal data sets (winter, spring, summer, and fall) were independently investigated. A total of ten different sources were identified, including two traffic factors, two nucleation factors, industrial emissions, residential/commercial heating, secondary nitrate, secondary sulfate, ozone-rich secondary aerosol, and regionally transported aerosol. The resolved sources were generally characterized by similar number modes for either winter, spring, summer or fall. The size distributions for nucleation were dominated by the smallest particles (<10-30 nm) that gradually grew to larger sizes as could be seen by observing the volume profiles. In addition, the nucleation factors were closely linked to traffic rush hours suggesting that cooling of tail-pipe emissions may have induced nucleation activity in the vicinity of the highways. Although the diurnal pattern of each of the two traffic factors closely followed traffic rush hour for Rochester, their size modes were different suggesting that these factors might represent local and remote emissions. Industrial emissions were dominated by emissions from coal-fired power plants that were located to the northwest of the sampling site. These facilities represent the largest point emission sources of SO 2 , and probably ultrafine (<0.1 µm) or submicron particles, in Rochester. Regionally transported material was characterized by accumulation mode particles. Air parcel back-trajectories showed transport of air masses from the industrial midwest.

show abstract

“…Different working groups were able to detect very high peak pollutions during cooking with electric stoves and in particular gas stoves of 100,000 to 560,000 particles /cm³ Dennekamp et al, 2001;He et al, 2004;Afshari et al, 2005;Ogulei et al, 2006;Hussein et al, 2006). The large concentration range is attributable to the different cooking activities (eg baking, roasting, frying, toasting), the use of energy, the respective cooking goods, the ventilation conditions and the room geometry.…”

Section: Cooking Activitiesmentioning

confidence: 99%

Particles in the Indoor Environment

Fromme¹

2012

Air Quality - Monitoring and Modeling

View full text Add to dashboard Cite

Analysis of indoor particle size distributions in an occupied townhouse using positive matrix factorization

Cited by 93 publications

References 42 publications

Source apportionment of ultrafine and fine particle concentrations in Brisbane, Australia

Source apportionment of ultrafine and fine particle concentrations in Brisbane, Australia

Modeling Source Contributions to Submicron Particle Number Concentrations Measured in Rochester, New York

Particles in the Indoor Environment

Contact Info

Product

Resources

About