Particulate matter concentrations and human exposure approaches in the world microenvironments

Particulate matter (PM) constitutes an important environmental exposure. The quantification of human exposure at different indoor microenvironments and outdoors is crucial for refining exposure estimates to inform potential human health hazard using state-of-the-art data derived from field measureme...

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Bibliographic Details
Published inAir quality, atmosphere and health Vol. 18; no. 2; pp. 471 - 484
Main Author Lazaridis, Mihalis
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.02.2025
Springer Nature B.V
Subjects
Activity patterns
Atmospheric Protection/Air Quality Control/Air Pollution
Chemical compounds
Dosimetry
Earth and Environmental Science
Emissions
Environment
Environmental Health
Epidemiology
Exposure
Health hazards
Health Promotion and Disease Prevention
Health risk assessment
Health risks
Human body
Human subjects
Microenvironments
Outdoor air quality
Particulate emissions
Particulate matter
Pollutants
Population characteristics
Risk assessment
Schools
Indoor aerosols
Indoor microenvironments
Activity patterns
Human exposure
Indoor particulate matter
Health risk
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Summary:Particulate matter (PM) constitutes an important environmental exposure. The quantification of human exposure at different indoor microenvironments and outdoors is crucial for refining exposure estimates to inform potential human health hazard using state-of-the-art data derived from field measurements. The overall aim of the current work is to review PM concentrations encountered at different microenvironments such as domestic houses, traffic, offices, schools and outdoors. Measurements of PM concentration characteristics in different microenvironments is the first step for the evaluation of the actual human exposure. In the quantification of the actual human exposure is also necessary to determine the exposure of humans at different microenvironments spent during the day and their activities (activity patterns) in combination to source apportionment analysis. Information derived of the exposure population characteristics can be further used as inputs to dosimetry models, to health risk assessment analysis and epidemiological studies.
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ISSN:1873-9318
1873-9326
DOI:10.1007/s11869-024-01653-9