Identification of particulate matter determinants in residential homes

Urso, Patrizia; Cattaneo, Andrea; Garramone, G.; Peruzzo, Carlo; Cavallo, Domenico Maria; Carrer, Paolo

doi:10.1016/j.buildenv.2014.12.019

Cited by 59 publications

(60 citation statements)

References 44 publications

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“…In contrast to previous studies, we did not find any association with traffic density (collector road within 50 m) or time spent in a vehicle with the personal or indoor PM 2.5 and PM 2.5abs levels. This is likely due to a relatively small amount of traffic in Jynkkä, where the mean concentrations of traffic emissions and road dust have been approximated to be 0.7 and 0.6 µg/m 3 , respectively …”

Section: Discussioncontrasting

confidence: 99%

“…We did not find any association between wood burning and daily levels of indoor PM 2.5 . A clear association between the use of a fireplace and indoor particle concentrations in winter time has been found in a study conducted in Italy in southern Europe . One important difference between this study and our study is the type of room heaters used by people in different countries.…”

Section: Discussioncontrasting

confidence: 56%

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Wood stove use and other determinants of personal and indoor exposures to particulate air pollution and ozone among elderly persons in a Northern Suburb

et al. 2019

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A six‐month winter‐spring study was conducted in a suburb of the northern European city of Kuopio, Finland, to identify and quantify factors determining daily personal exposure and home indoor levels of fine particulate matter (PM2.5, diameter <2.5 µm) and its light absorption coefficient (PM2.5abs), a proxy for combustion‐derived black carbon. Moreover, determinants of home indoor ozone (O3) concentration were examined. Local central site outdoor, home indoor, and personal daily levels of pollutants were monitored in this suburb among 37 elderly residents. Outdoor concentrations of the pollutants were significant determinants of their levels in home indoor air and personal exposures. Natural ventilation in the detached and row houses increased personal exposure to PM2.5, but not to PM2.5abs, when compared with mechanical ventilation. Only cooking out of the recorded household activities increased indoor PM2.5. The use of a wood stove room heater or wood‐fired sauna stove was associated with elevated concentrations of personal PM2.5 and PM2.5abs, and indoor PM2.5abs. Candle burning increased daily indoor and personal PM2.5abs, and it was also a determinant of indoor ozone level. In conclusion, relatively short‐lasting wood and candle burning of a few hours increased residents’ daily exposure to potentially hazardous, combustion‐derived carbonaceous particulate matter.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussioncontrasting

confidence: 56%

Wood stove use and other determinants of personal and indoor exposures to particulate air pollution and ozone among elderly persons in a Northern Suburb

et al. 2019

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“…Results from the present study are basically consistent with the finding demonstrating that PM2.5-10 was greatly influenced by the occupants and cleaning activities [30].…”

Section: S127supporting

confidence: 82%

The Effects of Indoor Activities on Pollution Characteristics of Air Particles in an Office Environment

Zheng¹,

Zhao²,

Li³

et al. 2016

JRST

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This article compares the effects of different indoor activities on pollution characteristics of air particles in an office. Some indoor activities, such as smoking, mopping floor, wiping table, sweeping floor, walking and air humidification, were studied. The dynamical changes of the mass concentration and the particle number concentration over time were analyzed. The concept of area is introduced to rank the health hazards. The results indicate that the effects of the humidification on the indoor particulate matter are the most significant, then the sweeping floor, smoking, mopping floor, and the walking and wiping table are the least. For indoor particulate matter, the guideline value system for PM1.0 and the exposure time can be set as 1 hour.

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“…In fact, on the one hand, double monitoring allows seasonal effect on IAPs concentrations to be ascertained in view of not only inter‐building but also intra‐building variability in the two seasons. On the other hand, repeated measurements of the same parameter are expected to be associated, thus, in addition to the independent variables as fixed effects (ie, potential determinants), the unmeasured latent factors that each monitoring scenario (ie, the office rooms) may have on the outcome (ie, the IAP concentrations) were considered specifying the monitored office rooms as units of analysis (subjects) in the measurement repetition for season . Moreover, linear mixed models accounted for the multilevel structure of the sampling design: the buildings were included into the model as random factor (as they were randomly selected in each country) to consider the office room grouping and it was decided if this variable was dropped from the model depending on the Wald test significance level.…”

Section: Methodsmentioning

confidence: 99%

Indoor gaseous air pollutants determinants in office buildings—The OFFICAIR project

et al. 2019

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The aim of this study was to identify determinants of aldehyde and volatile organic compound (VOC) indoor air concentrations in a sample of more than 140 office rooms, in the framework of the European OFFICAIR research project. A large field campaign was performed, which included (a) the air sampling of aldehydes and VOCs in 37 newly built or recently retrofitted office buildings across 8 European countries in summer and winter and (b) the collection of information on building and offices’ characteristics using checklists. Linear mixed models for repeated measurements were applied to identify the main factors affecting the measured concentrations of selected indoor air pollutants (IAPs). Several associations between aldehydes and VOCs concentrations and buildings’ structural characteristic or occupants’ activity patterns were identified. The aldehyde and VOC determinants in office buildings include building and furnishing materials, indoor climate characteristics (room temperature and relative humidity), the use of consumer products (eg, cleaning and personal care products, office equipment), as well as the presence of outdoor sources in the proximity of the buildings (ie, vehicular traffic). Results also showed that determinants of indoor air concentrations varied considerably among different type of pollutants.

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Identification of particulate matter determinants in residential homes

Cited by 59 publications

References 44 publications

Wood stove use and other determinants of personal and indoor exposures to particulate air pollution and ozone among elderly persons in a Northern Suburb

Wood stove use and other determinants of personal and indoor exposures to particulate air pollution and ozone among elderly persons in a Northern Suburb

The Effects of Indoor Activities on Pollution Characteristics of Air Particles in an Office Environment

Indoor gaseous air pollutants determinants in office buildings—The OFFICAIR project

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