THESIS
2019
92 pages : illustrations (some color), maps (some color) ; 30 cm
Abstract
On-road mobile emission source is becoming one of the most important air pollution sources in the
urbanized area, especially in urban regions with high traffic volume. This thesis presents a bottom-up
methodology based on the results from large-scale microscopic agent-based transport model
and associated with the use of local vehicle emission model, the Emission-FACtor-Hong Kong
(EMFAC-HK) which developed from the Environmental Protection Department (EPD), to
establish a high-resolution vehicle emission inventory for Hong Kong. With the aims of accurate
vehicle emissions estimation, the vehicle emissions from this inventory were disaggregated with
the vehicle emissions estimated by territory-wide vehicle emissions from the EPD. The multi-lateral
detail analysis of this inventory...[
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On-road mobile emission source is becoming one of the most important air pollution sources in the
urbanized area, especially in urban regions with high traffic volume. This thesis presents a bottom-up
methodology based on the results from large-scale microscopic agent-based transport model
and associated with the use of local vehicle emission model, the Emission-FACtor-Hong Kong
(EMFAC-HK) which developed from the Environmental Protection Department (EPD), to
establish a high-resolution vehicle emission inventory for Hong Kong. With the aims of accurate
vehicle emissions estimation, the vehicle emissions from this inventory were disaggregated with
the vehicle emissions estimated by territory-wide vehicle emissions from the EPD. The multi-lateral
detail analysis of this inventory was assessed with respect to different traffic parameters.
This bottom-up method indicates that the diurnal cycle and spatial distribution of vehicle emissions
rely on much up-to-date information. The deviation between the simulation result for the
establishment of this emission inventory and the up-to-date traffic information has been
investigated. Furthermore, this research proved that the introduction of an external source of new
traffic data to MATSim can improve the accuracy of transport model, which in turn, the emission
inventory accuracy can also be improved. This is the valuable tool when traffic counts or traffic
information are not periodically updated, avoiding the use of arbitrary weighting factors to the
roads and maintaining the validity of the emission inventory data for future improvements and
studies. Based on the results of this study, it can improve the downstream air quality simulation
work and the contribution of vehicle emissions to a different area or different road type have been
investigated in this thesis
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