M
Milan Jamriska
Researcher at Queensland University of Technology
Publications - 55
Citations - 1393
Milan Jamriska is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Particle number & Particle. The author has an hindex of 20, co-authored 53 publications receiving 1318 citations. Previous affiliations of Milan Jamriska include Defence Science and Technology Organisation.
Papers
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Differences in airborne particle and gaseous concentrations in urban air between weekdays and weekends
TL;DR: In this article, a 5-year monitoring period showed that the mean particle number concentration on weekdays was (8.8±0.1)×103 cm−3 and on weekends (5.9± 0.2)× 103 cm −3, a difference of 47%.
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The modality of particle size distributions of environmental aerosols
TL;DR: In this paper, a detailed analysis of the modal characteristics of a large number of particle size spectra collected over a period of three years for a range of ambient aerosol types was provided.
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Diesel bus emissions measured in a tunnel study
TL;DR: The results indicate that when carefully designed, both approaches, the dynamometer and on-road studies, can provide comparable results, applicable for the assessment of the effect of traffic emissions on airborne particle pollution.
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A model for determination of motor vehicle emission factors from on-road measurements with a focus on submicrometer particles
Milan Jamriska,Lidia Morawska +1 more
TL;DR: The aim of this paper was to develop, calibrate and test a simple model for 'on-road' measurements of traffic emission factors as part of a major program focussed on the assessment of traffic contribution to fine and ultrafine emissions to the whole air shed and to local areas in south-east Queensland, Australia.
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Effect of ventilation and filtration on submicrometer particles in an indoor environment.
TL;DR: The effect of filtration and ventilation on reduction of submicrometer particle concentration indoors was investigated in an office building, and a simple mathematical model predicting evolution of particles indoors is presented.