Characterization of indoor air quality in wood-burning residences

Sexton, Ken; Liu, Kai Shen; Treitman, Robert D.; Spengler, John D.; Turner, William

doi:10.1016/0160-4120(86)90038-3

Cited by 19 publications

(11 citation statements)

References 14 publications

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“…Indoor inventories might include the following particulate source types (Sexton et al, 1986;Sexton and Hayward, 1987;Koutrakis et al, 1992): (1) outdoor air that infiltrates through doors, windows, and poor insulation; (2) house dust from track-in and resuspension from vacuuming and personal movement; (3) cooking, both from the fuel combustion and the food, especially during frying; (4) sidestream smoke when the building contains smokers; (5) animal dander and fur in the presence of pets and other animals; (6) molds, spores, and fungi, especially those that form and are entrained from ventilation ducts; (7) vehicle exhaust in commuter transport compartments; and (8) a large variety of occupational emissions, depending on the type of work involved. Table 2 summarizes wintertime outdoor emission rates for several source categories in the Denver, CO, metropolitan area.…”

Section: Step 2: Compile Emissionsmentioning

confidence: 99%

Receptor modeling application framework for particle source apportionment

Watson¹,

Zhu²,

Chow³

et al. 2002

Chemosphere

269

144

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Receptor models infer contributions from particulate matter (PM) source types using multivariate measurements of particle chemical and physical properties. Receptor models complement source models that estimate concentrations from emissions inventories and transport meteorology. Enrichment factor, chemical mass balance, multiple linear regression, eigenvector. edge detection, neural network, aerosol evolution, and aerosol equilibrium models have all been used to solve particulate air quality problems, and more than 500 citations of their theory and application document these uses. While elements, ions, and carbons were often used to apportion TSP, PM10, and PM2.5 among many source types, many of these components have been reduced in source emissions such that more complex measurements of carbon fractions, specific organic compounds, single particle characteristics, and isotopic abundances now need to be measured in source and receptor samples. Compliance monitoring networks are not usually designed to obtain data for the observables, locations, and time periods that allow receptor models to be applied. Measurements from existing networks can be used to form conceptual models that allow the needed monitoring network to be optimized. The framework for using receptor models to solve air quality problems consists of: (1) formulating a conceptual model; (2) identifying potential sources; (3) characterizing source emissions; (4) obtaining and analyzing ambient PM samples for major components and source markers; (5) confirming source types with multivariate receptor models; (6) quantifying source contributions with the chemical mass balance; (7) estimating profile changes and the limiting precursor gases for secondary aerosols; and (8) reconciling receptor modeling results with source models, emissions inventories, and receptor data analyses.

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Section: Step 2: Compile Emissionsmentioning

confidence: 99%

Receptor modeling application framework for particle source apportionment

Watson¹,

Zhu²,

Chow³

et al. 2002

Chemosphere

269

144

View full text Add to dashboard Cite

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“…If (25,(29)(30)(31)(32)(33)(34) Table 7 provides similar data for the main compounds found in the particulate phase of tobacco smoke (40).…”

Section: Case Study: Past and Present State Program Prioritiesmentioning

confidence: 62%

“…However, even the most efficient WBS emit some hazardous pollutants directly into the home when the stove is operating and the door is opened to add wood (25,(29)(30)(31)(32)(33)(34). This issue is especially important when one considers the trend to increase home insulation and overall airtightness in an effort to conserve energy and reduce heat loss (27).…”

Section: Case Study: Past and Present State Program Prioritiesmentioning

confidence: 99%

Approaches for assessing health risks from complex mixtures in indoor air: a panel overview.

Henry

Fishbein

Meggs

et al. 1991

Environ Health Perspect

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Critical to a more definitive human health assessment of the potential health risks from exposure to complex mixtures in indoor air is the need for a more definitive clinical measure and etiology of the health effects of complex mixtures. This panel overview highlights six of the eight presentations of the conference panel discussion and features a number of the major topical areas of indoor air concern. W. G. Meggs assessed clinical research priorities with primary focus on the role of volatile organic chemicals in human health, recognizing the areas where definitive data are lacking. By recognizing many types of chemical sensitivity, it may be possible to design studies that can illuminate the mechanisms by which chemical exposure may cause disease. The critically important topic of multiple chemical sensitivity was discussed by N. A. Ashford, who identified four high risk groups and defined the demographics of these groups. P. A. Schulte addressed the issue of biological markers of susceptibility with specific considerations of both methodological and societal aspects that may be operative in the ability to detect innate or inborne differences between individuals and populations. Three case studies were reviewed. H. Anderson discussed the past and present priorities from a public health perspective, focusing on those issues dealing with exposures to environmental tobacco smoke and formaldehyde off-gassing from materials used in mobile home construction. J. J. Osborne described several case studies involving wood smoke exposure to children, with emphasis on the significantly greater occurrence of chronic respiratory symptoms and acute chest illness for children from homes heated with woodburning stoves.(ABSTRACT TRUNCATED AT 250 WORDS)

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“…Indoor heating with woodburning stoves can generate a significant amount of air pollution. Documented pollutant emissions of woodburning stoves include carbon monoxide, nitrogen and sulfur dioxides, respirable particulates, aldehydes (e.g., formaldehyde and acrolein), polycyclic organic compounds, benzo[a]pyrene, organic and elemental carbon, and a variety of priority pollutants (e.g., aluminum, calcium, potassium, sodium, sulfur, and silicon) (20)(21)(22)(23)(24)(25).…”

Section: Discussionmentioning

confidence: 99%

Respiratory Effects of Wood Heat: Clinical Observations and Epidemiologic Assessment

Honicky¹,

Osborne²

1991

Environmental Health Perspectives

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An increasing number offamilies in the United States are converting to woodburning stoves in an effort to reduce winter heating biDs. Moodburning stoves operate as a contained combuster of wood and produce a variety of pollutants as byproducts ofcombustion. Although technological advances have reduced emissions to some degree, even the most efficient woodburningstoves emit hazardous pollutants directly into the home when the stove is operating and the door is opened to add wood. The question arises as to whether polutants are accumulating in homes where woodburning stoves are used as a source of heat. This issue is especially important considering the trend to increase home insulation and overall airtightness in an effort to conserve energy and reduce heat loss. This paper reviews the clinical case report that first postulated an association ofrecurrent chest illness with woodburning stove exposure and summaizes the flnding to date on respiratory effects of wood heat for young children.

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Characterization of indoor air quality in wood-burning residences

Cited by 19 publications

References 14 publications

Receptor modeling application framework for particle source apportionment

Receptor modeling application framework for particle source apportionment

Approaches for assessing health risks from complex mixtures in indoor air: a panel overview.

Respiratory Effects of Wood Heat: Clinical Observations and Epidemiologic Assessment

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