TY - JOUR
T1 - Source specific exposure and risk assessment for indoor aerosols
AU - Koivisto, Antti Joonas
AU - Kling, Kirsten Inga
AU - Hänninen, Otto
AU - Jayjock, Michael
AU - Löndahl, Jakob
AU - Wierzbicka, Aneta
AU - Fonseca, Ana Sofia
AU - Uhrbrand, Katrine
AU - Boor, Brandon E.
AU - Jiménez, Araceli Sánchez
AU - Hämeri, Kaarle
AU - Maso, Miikka Dal
AU - Arnold, Susan F.
AU - Jensen, Keld A.
AU - Viana, Mar
AU - Morawska, Lidia
AU - Hussein, Tareq
N1 - Publisher Copyright:
© 2019
PY - 2019/6/10
Y1 - 2019/6/10
N2 - Poor air quality is a leading contributor to the global disease burden and total number of deaths worldwide. Humans spend most of their time in built environments where the majority of the inhalation exposure occurs. Indoor Air Quality (IAQ) is challenged by outdoor air pollution entering indoors through ventilation and infiltration and by indoor emission sources. The aim of this study was to understand the current knowledge level and gaps regarding effective approaches to improve IAQ. Emission regulations currently focus on outdoor emissions, whereas quantitative understanding of emissions from indoor sources is generally lacking. Therefore, specific indoor sources need to be identified, characterized, and quantified according to their environmental and human health impact. The emission sources should be stored in terms of relevant metrics and statistics in an easily accessible format that is applicable for source specific exposure assessment by using mathematical mass balance modelings. This forms a foundation for comprehensive risk assessment and efficient interventions. For such a general exposure assessment model we need 1) systematic methods for indoor aerosol emission source assessment, 2) source emission documentation in terms of relevant a) aerosol metrics and b) biological metrics, 3) default model parameterization for predictive exposure modeling, 4) other needs related to aerosol characterization techniques and modeling methods. Such a general exposure assessment model can be applicable for private, public, and occupational indoor exposure assessment, making it a valuable tool for public health professionals, product safety designers, industrial hygienists, building scientists, and environmental consultants working in the field of IAQ and health.
AB - Poor air quality is a leading contributor to the global disease burden and total number of deaths worldwide. Humans spend most of their time in built environments where the majority of the inhalation exposure occurs. Indoor Air Quality (IAQ) is challenged by outdoor air pollution entering indoors through ventilation and infiltration and by indoor emission sources. The aim of this study was to understand the current knowledge level and gaps regarding effective approaches to improve IAQ. Emission regulations currently focus on outdoor emissions, whereas quantitative understanding of emissions from indoor sources is generally lacking. Therefore, specific indoor sources need to be identified, characterized, and quantified according to their environmental and human health impact. The emission sources should be stored in terms of relevant metrics and statistics in an easily accessible format that is applicable for source specific exposure assessment by using mathematical mass balance modelings. This forms a foundation for comprehensive risk assessment and efficient interventions. For such a general exposure assessment model we need 1) systematic methods for indoor aerosol emission source assessment, 2) source emission documentation in terms of relevant a) aerosol metrics and b) biological metrics, 3) default model parameterization for predictive exposure modeling, 4) other needs related to aerosol characterization techniques and modeling methods. Such a general exposure assessment model can be applicable for private, public, and occupational indoor exposure assessment, making it a valuable tool for public health professionals, product safety designers, industrial hygienists, building scientists, and environmental consultants working in the field of IAQ and health.
KW - Air quality
KW - Emission
KW - Health
KW - Mass balance
KW - Modeling
KW - Regulation
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U2 - 10.1016/j.scitotenv.2019.02.398
DO - 10.1016/j.scitotenv.2019.02.398
M3 - Article
C2 - 30851679
AN - SCOPUS:85062356173
SN - 0048-9697
VL - 668
SP - 13
EP - 24
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -