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Chapter three: methodology of exposure modeling

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dc.contributor.author Moschandreas, DJ en_US
dc.contributor.author Watson, J en_US
dc.contributor.author D'Abreton, P en_US
dc.contributor.author Scire, J en_US
dc.contributor.author Zhu, T en_US
dc.contributor.author Klein, W en_US
dc.contributor.author Saksena, S en_US
dc.date.accessioned 2007-02-06T12:57:59Z en_US
dc.date.accessioned 2007-06-07T10:04:45Z
dc.date.available 2007-02-06T12:57:59Z en_US
dc.date.available 2007-06-07T10:04:45Z
dc.date.copyright en_US
dc.date.issued 2002-12 en_US
dc.identifier.citation Moschandreas, DJ, et al. 2002. Chapter three: methodology of exposure modeling. Chemosphere, vol. 49(9), pp 923-946 en_US
dc.identifier.issn 0045-6535 en_US
dc.identifier.uri http://hdl.handle.net/10204/1538 en_US
dc.identifier.uri http://hdl.handle.net/10204/1538
dc.description.abstract In this chapter, the concept of exposure assessment and its evolution is introduced, and evaluated by critically appraising the pertinent literature as it applies to exposures to Particulate Matter (PM). Exposure measurement or estimation methodologies and models are reviewed. Three exposure/measurement methodologies are assessed. Estimation methods focus on source evaluation and attribution, sources include those outdoors and indoors as well as in occupational and in-transit environments. Fate and transport models and their inputs are addressed to estimate concentrations outdoors and indoors; source attribution techniques help focus on the contributing sources. Activity pattern techniques are also reviewed and their use in exposure models to estimate inhalation exposure to PM is presented. Deterministic, regression and other stochastic models of exposure to PM are reviewed and evaluated. Strengths, limitations, assumptions and affirmations of the use of exposure assessment as an integral component of risk assessment and risk management are discussed in the conclusions and discussions section of this work. en_US
dc.format.extent 300443 bytes en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en en_US
dc.publisher Pergamon-Elsevier Science Ltd en_US
dc.rights Copyright: 2002 Pergamon-Elsevier Science Ltd en_US
dc.source en_US
dc.subject Exposure assessment en_US
dc.subject Exposure models en_US
dc.subject Source attribution techniques en_US
dc.subject Source modeling approaches en_US
dc.subject Receptor model estimates en_US
dc.subject Human activity patterns en_US
dc.subject Particulate matter en_US
dc.subject Environmental sciences en_US
dc.title Chapter three: methodology of exposure modeling en_US
dc.type Article en_US
dc.identifier.apacitation Moschandreas, D., Watson, J., D'Abreton, P., Scire, J., Zhu, T., Klein, W., & Saksena, S. (2002). Chapter three: methodology of exposure modeling. http://hdl.handle.net/10204/1538 en_ZA
dc.identifier.chicagocitation Moschandreas, DJ, J Watson, P D'Abreton, J Scire, T Zhu, W Klein, and S Saksena "Chapter three: methodology of exposure modeling." (2002) http://hdl.handle.net/10204/1538 en_ZA
dc.identifier.vancouvercitation Moschandreas D, Watson J, D'Abreton P, Scire J, Zhu T, Klein W, et al. Chapter three: methodology of exposure modeling. 2002; http://hdl.handle.net/10204/1538. en_ZA
dc.identifier.ris TY - Article AU - Moschandreas, DJ AU - Watson, J AU - D'Abreton, P AU - Scire, J AU - Zhu, T AU - Klein, W AU - Saksena, S AB - In this chapter, the concept of exposure assessment and its evolution is introduced, and evaluated by critically appraising the pertinent literature as it applies to exposures to Particulate Matter (PM). Exposure measurement or estimation methodologies and models are reviewed. Three exposure/measurement methodologies are assessed. Estimation methods focus on source evaluation and attribution, sources include those outdoors and indoors as well as in occupational and in-transit environments. Fate and transport models and their inputs are addressed to estimate concentrations outdoors and indoors; source attribution techniques help focus on the contributing sources. Activity pattern techniques are also reviewed and their use in exposure models to estimate inhalation exposure to PM is presented. Deterministic, regression and other stochastic models of exposure to PM are reviewed and evaluated. Strengths, limitations, assumptions and affirmations of the use of exposure assessment as an integral component of risk assessment and risk management are discussed in the conclusions and discussions section of this work. DA - 2002-12 DB - ResearchSpace DP - CSIR KW - Exposure assessment KW - Exposure models KW - Source attribution techniques KW - Source modeling approaches KW - Receptor model estimates KW - Human activity patterns KW - Particulate matter KW - Environmental sciences LK - https://researchspace.csir.co.za PY - 2002 SM - 0045-6535 T1 - Chapter three: methodology of exposure modeling TI - Chapter three: methodology of exposure modeling UR - http://hdl.handle.net/10204/1538 ER - en_ZA


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