Theoretical Investigation, Measurement and Multifractality Analysis of Particulate Patterns from Urban Traffic


Student thesis: Doctoral Thesis

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Awarding Institution
Award date21 Aug 2017


The wide-ranging effects of particulate matters (PMs) on both human health and the environment have long been a concern in air quality management and for regulatory authorities. Many studies and observations have shown that motor vehicle emissions constitute the major anthropogenic source of PMs in an urban environment.
This thesis is mainly concerned with theoretical modelling, multifractality analysis and measurement of PMs from urban traffic. This work determines the relation between traffic flow and the emitted particles, the impact of traffic control to PMs and other pollutants, the persistency of PMs in different traffic microenvironments, and particle exposure for doing particle image velocimetry (PIV) tests in a wind tunnel.
The simulation work provides test results on the impact of speed limit, injection rate and extinction rate of vehicle on particle emissions. This dissertation also provides analytical studies using multifractal detrended fluctuation analysis (MF-DFA) and multifractal detrended cross correlation analysis (MF-DCCA) to pollutant data sequences. Measurements were performed along an urban arterial road in Hong Kong.
In modern metropolitan areas with dense population and intense urban planning like Hong Kong, both the inhabitants and the government must combat air pollution aggressively. Research findings from this work enhanced our knowledge of traffic evolved particles, assisted in the assessment of exposure in roadside microenvironments, and is designed to help authorities in environmental regulatory management.