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Source specific exposure and risk assessment for indoor aerosols.
Koivisto, Antti Joonas; Kling, Kirsten Inga; Hänninen, Otto; Jayjock, Michael; Löndahl, Jakob; Wierzbicka, Aneta; Fonseca, Ana Sofia; Uhrbrand, Katrine; Boor, Brandon E; Jiménez, Araceli Sánchez; Hämeri, Kaarle; Maso, Miikka Dal; Arnold, Susan F; Jensen, Keld A; Viana, Mar; Morawska, Lidia; Hussein, Tareq.
Afiliação
  • Koivisto AJ; National Research Centre for the Working Environment, Lersø Parkallé 105, Copenhagen DK-2100, Denmark. Electronic address: jok@nrcwe.dk.
  • Kling KI; National Centre for Nano Fabrication and Characterization, Technical University of Denmark, Fysikvej 307, 2800 Kgs. Lyngby, Denmark.
  • Hänninen O; National Institute for Health and Welfare (THL), Kuopio, Finland.
  • Jayjock M; Jayjock Associates, LLC, Langhorne, PA, United States.
  • Löndahl J; Division of Ergonomics and Aerosol Technology, Department of Design Sciences, Lund University, Box 118, SE-22100 Lund, Sweden.
  • Wierzbicka A; Division of Ergonomics and Aerosol Technology, Department of Design Sciences, Lund University, Box 118, SE-22100 Lund, Sweden.
  • Fonseca AS; National Research Centre for the Working Environment, Lersø Parkallé 105, Copenhagen DK-2100, Denmark.
  • Uhrbrand K; National Research Centre for the Working Environment, Lersø Parkallé 105, Copenhagen DK-2100, Denmark.
  • Boor BE; Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907, United States; Ray W. Herrick Laboratories, Center for High Performance Buildings, Purdue University, 177 South Russell Street, West Lafayette, IN 47907, United States.
  • Jiménez AS; Centre for Human Exposure Science (CHES), Institute of Occupational Medicine (IOM), Research Avenue North, Riccarton, Edinburgh EH14 4AP, UK.
  • Hämeri K; University of Helsinki, Institute for Atmospheric and Earth System Research (INAR), PL 64, FI-00014 Helsinki, Finland.
  • Maso MD; Aerosol Physics, Faculty of Natural Science, Tampere University of Technology, Tampere, Finland.
  • Arnold SF; Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN, United States.
  • Jensen KA; National Research Centre for the Working Environment, Lersø Parkallé 105, Copenhagen DK-2100, Denmark.
  • Viana M; Institute of Environmental Assessment and Water Research (IDAEA-CSIC), C/ Jordi Girona 18, 08034 Barcelona, Spain.
  • Morawska L; International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Qld, Australia.
  • Hussein T; University of Helsinki, Institute for Atmospheric and Earth System Research (INAR), PL 64, FI-00014 Helsinki, Finland; The University of Jordan, Department of Physics, Amman 11942, Jordan.
Sci Total Environ ; 668: 13-24, 2019 Jun 10.
Article em En | MEDLINE | ID: mdl-30851679
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Poluição do Ar em Ambientes Fechados / Exposição por Inalação / Poluentes Atmosféricos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Poluição do Ar em Ambientes Fechados / Exposição por Inalação / Poluentes Atmosféricos Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article