An Experimental Framework of Particulate Matter Emission Factor Development for Traffic Modeling

نویسندگان

چکیده

To estimate traffic facility-oriented particulate matter (PM) emissions, emission factors are both necessary and critical for planners the community of professionals. This study used locally calibrated laser-scattering sensors to collect PM concentrations in a tunnel. Emission light-duty heavy-duty vehicles were found be higher autumn compared summer. Based on this study’s data analysis, terms mass, have strong seasonal effect. The also conducted composition test normal days during haze events. Preliminary results suggested that transformation gaseous tailpipe emissions is significant within tunnel event. study, therefore, recommends portable devices monitor mobile-source emissions. suggests factor estimation modeling packages should consider dynamic formation mechanism. presents policy implications regarding control.

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ژورنال

عنوان ژورنال: Atmosphere

سال: 2023

ISSN: ['2073-4433']

DOI: https://doi.org/10.3390/atmos14040706