Simulating in-vehicle exposure : field and modeling based assessment -

dc.contributor.authorHarik, Ghinwa Georges
dc.contributor.departmentDepartment of Civil and Environmental Engineering
dc.contributor.facultyFaculty of Engineering and Architecture
dc.contributor.institutionAmerican University of Beirut
dc.date2015
dc.date.accessioned2017-08-30T14:12:33Z
dc.date.available2017-08-30T14:12:33Z
dc.date.issued2015
dc.date.submitted2015
dc.descriptionThesis. M.E. American University of Beirut. Department of Civil and Environmental Engineering, 2015. ET:6156
dc.descriptionAdvisor : Dr. Mutasem El-Fadel, Professor, Civil and Environmental Engineering ; Co-Advisor : Dr. Ibrahim Alameddine, Assistant Professor, Civil and Environmental Engineering ; Member of Committee : Dr. Alan Shihadeh, Professor, Mechanical Engineering.
dc.descriptionIncludes bibliographical references (leaves 24-27)
dc.description.abstractThis study examines ambient contaminant infiltration to in-vehicle microenvironments to assess in-vehicle exposure and potential self-pollution from vehicular exhaust. For this purpose, in and out-vehicle CO and PM₂.₅ concentrations were monitored in several cars under idle and moving conditions using common ventilation modes. Field measurements were coupled with mathematical modeling to define air exchange rates (AER), PM₂.₅ deposition rates (DR), and equivalent emission rates (ER) representing potential self-pollution. Using CO as an indicator, the AER ranged between 1.8 and 112.2 h⁻¹ and generally increased with vehicle speed under all tested ventilation modes. The DR of PM₂.₅ ranged between 0.6 and 12.6 h⁻¹ and was also dependent of speed and ventilation conditions. Self-pollution varied widely with car make, speed and ventilation mode with corresponding average equivalent ERs of 2.86 to 238.3 mg-h for CO and 0.01 to 2.5 mg-h for PM₂.₅
dc.format.extent1 online resource (x, 75 leaves) : color illustrations ; 30cm
dc.identifier.otherb18329184
dc.identifier.urihttp://hdl.handle.net/10938/10817
dc.language.isoen
dc.relation.ispartofTheses, Dissertations, and Projects
dc.subject.classificationET:006156
dc.subject.lcshParticles -- Environmental aspects.
dc.subject.lcshIndoor air pollution.
dc.subject.lcshCarbon monoxide.
dc.subject.lcshAir quality.
dc.subject.lcshMotor vehicles.
dc.subject.lcshMathematical models.
dc.titleSimulating in-vehicle exposure : field and modeling based assessment -
dc.typeThesis

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