Size distribution and emission rate measurement of fine and ultrafine particle from indoor human activities

Gehin, Evelyne; Ramalho, Olivier; Kirchner, Séverine

doi:10.1016/j.atmosenv.2008.07.021

Cited by 123 publications

(95 citation statements)

References 16 publications

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“…Nonetheless, there are marked differences between emission size distributions for each activity. For instance, the living room presents a marked concentration of submicron particles as the amount of time spent on cooking, burnt food and different cooking techniques, such as more frying using cooking oil, influences particle concentration, particularly, the fine fractions of PM (GÉHIN; RAMALHO; KIRCHNER, 2008;TAN et al, 2013). This trend is more marked during breakfast, which is characterized by a long period of bread baking.…”

Section: Common Use Areasmentioning

confidence: 96%

Impact of human activities on the concentration of indoor air particles in an antarctic research station

et al. 2018

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Abstractne of the main characteristics of Antarctic buildings is the fact that they are designed mostly with a focus on energy efficiency. Although human activity is a major source of pollution, indoor air quality is not a matter of significant concern during building planning. This study examines the relationship between indoor activities in an Antarctic Research Station and the size distribution of particulate matter. Real-time particle size distribution data is used in conjunction with time-activity data. The activity number ratio is calculated using the mean number of particles found in each size range during each activity divided by the average number of particles found during a period characterized by the absence of human activities. Cooking, the use of cosmetics, waste incineration and exhaust from light vehicles were responsible for significant deterioration of indoor air related to the presence of fine and ultrafine particles. Cleaning, physical exercise and the movement of people were responsible for the emission of coarse particles. This article emphasizes the importance of post-occupancy evaluation of buildings, generating results relevant to the planning and layout of new buildings, especially regarding better indoor air quality.Keywords: Particulate matter. Indoor air quality. Human activities. Size distribution. Antarctic Research Station. Resumo Uma das principais características das construções antárticas é o fato que boa parte do esforço projetual é concentrado na eficiência energética. Embora a atividade humana seja a maior fonte de poluição, a qualidade do ar interior não é uma questão com significativa preocupação durante o planejamento da construção. Este estudo investigou a relação entre as atividades internas em uma Estação de Pesquisa Antártica e a distribuição dos tamanhos das partículas. Dados de distribuição do tamanho das partículas são plotados em tempo real em conjunção com os registros das atividades. A taxa de atividade é calculada usando

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Section: Common Use Areasmentioning

confidence: 96%

Impact of human activities on the concentration of indoor air particles in an antarctic research station

et al. 2018

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“…53,54 There are various source characterization studies made both for consumer products and occupational processes. [55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71] Similarly particle sinks can be assessed according to the model by Mølgaard et al 72 made for indoor air cleaners. Some of these scenarios could potentially be covered with exposure assessment tools such as the ConsExpo REACH tool, but this tool may not be applicable to larger scale industrial exposure scenarios.…”

Section: View Article Onlinementioning

confidence: 99%

Testing the near field/far field model performance for prediction of particulate matter emissions in a paint factory

Koivisto

Jensen

Levin

et al. 2015

Environ. Sci.: Processes Impacts

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A Near Field/Far Field (NF/FF) model is a well-accepted tool for precautionary exposure assessment but its capability to estimate particulate matter (PM) concentrations is not well studied. The main concern is related to emission source characterization which is not as well defined for PM emitters compared to e.g. for solvents. One way to characterize PM emission source strength is by using the material dustiness index which is scaled to correspond to industrial use by using modifying factors, such as handling energy factors. In this study we investigate how well the NF/FF model predicts PM concentration levels in a paint factory. PM concentration levels were measured during big bag and small bag powder pouring.Rotating drum dustiness indices were determined for the specific powders used and applied in the NF/FF model to predict mass concentrations. Modeled process specific concentration levels were adjusted to be similar to the measured concentration levels by adjusting the handling energy factor. The handling energy factors were found to vary considerably depending on the material and process even-though they have the same values as modifying factors in the exposure models. This suggests that the PM source characteristics and process-specific handling energies should be studied in more detail to improve the model-based exposure assessment. Environmental impactThe REACH requires that manufacturers or importers within the European Union must estimate human exposure by all routes for each potential exposure scenario which will then be used in risk assessment. To fulll this regulation several exposure assessment models/tools were developed but their performance in predicting particulate matter exposure has not been tested in work environments. In this study we tested how well a NF/FF dispersion model predicts particulate matter concentrations when source emission potency was estimated using the material dustiness index. It was found that the dustiness index did not describe source emission potency well. To overcome this problem, particle emissions from different sources should be studied with well-controlled work simulations where emission rates are assessed using indoor aerosol models.

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“…Common indoor sources of air pollution are cooking, heating, printers and other electronic devices, candle burning, cleaning activities, smoking, furnishing, and building materials (He et al 2004;Afshari et al 2005;Hussein et al 2006;Wallace 2006;Destaillats et al 2008;Géhin et al 2008;Carazo Fernández et al 2013). Moreover, in some buildings also fungal colonies provide various air pollutants (Khan and Karuppayil 2012).…”

Section: Introductionmentioning

confidence: 99%

A New Clean Air Delivery Rate Test Applied to Five Portable Indoor Air Cleaners

Mølgaard

Koivisto

Hussein

et al. 2014

Aerosol Science and Technology

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Air pollution has been recognised as one of the major risk factors for the global burden of disease. In modern society the majority of the exposure occurs indoors where people spend most of their time. Indoor air quality may be improved with portable air cleaners utilizing various cleaning techniques, such as filtration, electrostatic precipitation, and ionization. The objective of this study was to quantify air cleaner particle removal by particle size resolved clean air delivery rates (CADR). This was obtained by utilizing particle concentration measurements and indoor aerosol modeling. Our test protocol was applied to five air cleaners designed for household and office use. For particles with diameters above 100 nm and at the chosen settings, the CADR was around 40 m 3 /h for an ion generator, around 70 m 3 /h for an electrostatic precipitator, and ranging from 100 to almost 300 m 3 /h for the three filter-based air cleaners. Similar performances were obtained for ultrafine particles, except for the ion generator that performed better in this size range.

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Size distribution and emission rate measurement of fine and ultrafine particle from indoor human activities

Cited by 123 publications

References 16 publications

Impact of human activities on the concentration of indoor air particles in an antarctic research station

Impact of human activities on the concentration of indoor air particles in an antarctic research station

Testing the near field/far field model performance for prediction of particulate matter emissions in a paint factory

A New Clean Air Delivery Rate Test Applied to Five Portable Indoor Air Cleaners

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