Literature DB >> 16683939

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

D Ogulei1, P K Hopke, L A Wallace.   

Abstract

UNLABELLED: From late 1999 to early March 2000, measurements of particle number (particles 0.01-20 microm in aerodynamic diameter) concentrations were made inside of a townhouse occupied by two non-smoking adults and located in Reston, VA (approximately 25 miles northwest of Washington, DC). The particle size measurements were made using an SMPS and an APS as well as a Climet optical scattering instrument. In this study, positive matrix factorization (PMF) was used to study the indoor particle size distributions. The size distributions or profiles obtained were identified by relating the obtained source contributions to the source information provided by the occupants. Nine particle sources were identified, including two sources associated with gas burner use: boiling water and frying tortillas. Boiling water for tea or coffee was found to be associated only with the smallest particles, with a number mode close to the detection limit of the SMPS (i.e., 0.01 microm). Frying tortillas produced particles with a number mode at about 0.09 microm while broiling fish produced particles with a number mode at about 0.05 microm. A citronella candle was often burned during the study period, and this practice was found to produce a 0.2-microm modal number distribution. Other indoor particle sources identified included sweeping/vacuuming (volume mode at 2 microm); use of the electric toaster oven (number mode at 0.03 microm); and pouring of kitty litter (volume mode over 10 microm). Two outdoor sources were also resolved: traffic (number mode at about 0.15 microm) and wood smoke (major number mode at about 0.07 microm). The volume distributions showed presence of coarse particles in most of the resolved indoor sources probably caused by personal cloud emissions as the residents performed the various indoor activities. PRACTICAL IMPLICATIONS: This study has shown that continuous measurements of indoor particle number and volume concentrations together with records of personal activities are useful for indoor source apportionment models. Each of the particle sources identified in this study produces distinct size distributions that may be useful in studying the mortality and morbidity effects of airborne particulate matter because they will have different penetrability and deposition patterns.

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Mesh:

Year:  2006        PMID: 16683939     DOI: 10.1111/j.1600-0668.2006.00418.x

Source DB:  PubMed          Journal:  Indoor Air        ISSN: 0905-6947            Impact factor:   5.770


  10 in total

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

Authors:  Adrian J Friend; Godwin A Ayoko; E Rohan Jayaratne; Milan Jamriska; Philip K Hopke; Lidia Morawska
Journal:  Environ Sci Pollut Res Int       Date:  2012-02-19       Impact factor: 4.223

2.  Source apportionment and location by selective wind sampling and Positive Matrix Factorization.

Authors:  Elisa Venturini; Ivano Vassura; Simona Raffo; Laura Ferroni; Elena Bernardi; Fabrizio Passarini
Journal:  Environ Sci Pollut Res Int       Date:  2014-02-01       Impact factor: 4.223

3.  Organic compound characterization and source apportionment of indoor and outdoor quasi-ultrafine particulate matter in retirement homes of the Los Angeles Basin.

Authors:  M Arhami; M C Minguillón; A Polidori; J J Schauer; R J Delfino; C Sioutas
Journal:  Indoor Air       Date:  2009-07-31       Impact factor: 5.770

4.  Chemical characterization and source apportionment of indoor and outdoor fine particulate matter (PM(2.5)) in retirement communities of the Los Angeles Basin.

Authors:  Sina Hasheminassab; Nancy Daher; Martin M Shafer; James J Schauer; Ralph J Delfino; Constantinos Sioutas
Journal:  Sci Total Environ       Date:  2014-05-28       Impact factor: 7.963

5.  Physical properties and lung deposition of particles emitted from five major indoor sources.

Authors:  Tuan V Vu; Jakub Ondracek; Vladimir Zdímal; Jaroslav Schwarz; Juana Maria Delgado-Saborit; Roy M Harrison
Journal:  Air Qual Atmos Health       Date:  2016-08-25       Impact factor: 3.763

6.  Novel insights on new particle formation derived from a pan-european observing system.

Authors:  M Dall'Osto; D C S Beddows; A Asmi; L Poulain; L Hao; E Freney; J D Allan; M Canagaratna; M Crippa; F Bianchi; G de Leeuw; A Eriksson; E Swietlicki; H C Hansson; J S Henzing; C Granier; K Zemankova; P Laj; T Onasch; A Prevot; J P Putaud; K Sellegri; M Vidal; A Virtanen; R Simo; D Worsnop; C O'Dowd; M Kulmala; Roy M Harrison
Journal:  Sci Rep       Date:  2018-01-24       Impact factor: 4.379

7.  Respiratory infections and pneumonia: potential benefits of switching from smoking to vaping.

Authors:  Davide Campagna; Maria Domenica Amaradio; Mark F Sands; Riccardo Polosa
Journal:  Pneumonia (Nathan)       Date:  2016-04-12

8.  Changes in source contributions to particle number concentrations after the COVID-19 outbreak: Insights from a dispersion normalized PMF.

Authors:  Qili Dai; Jing Ding; Congbo Song; Baoshuang Liu; Xiaohui Bi; Jianhui Wu; Yufen Zhang; Yinchang Feng; Philip K Hopke
Journal:  Sci Total Environ       Date:  2020-11-06       Impact factor: 7.963

9.  Sources of particle number concentration and noise near London Gatwick Airport.

Authors:  Anja H Tremper; Calvin Jephcote; John Gulliver; Leon Hibbs; David C Green; Anna Font; Max Priestman; Anna L Hansell; Gary W Fuller
Journal:  Environ Int       Date:  2022-01-21       Impact factor: 9.621

10.  Understanding Sources and Drivers of Size-Resolved Aerosol in the High Arctic Islands of Svalbard Using a Receptor Model Coupled with Machine Learning.

Authors:  Congbo Song; Silvia Becagli; David C S Beddows; James Brean; Jo Browse; Qili Dai; Manuel Dall'Osto; Valerio Ferracci; Roy M Harrison; Neil Harris; Weijun Li; Anna E Jones; Amélie Kirchgäßner; Agung Ghani Kramawijaya; Alexander Kurganskiy; Angelo Lupi; Mauro Mazzola; Mirko Severi; Rita Traversi; Zongbo Shi
Journal:  Environ Sci Technol       Date:  2022-07-25       Impact factor: 11.357

  10 in total

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