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A proposed methodology for impact assessment of air quality | 2.02 MB | Adobe PDF |
Advisor(s)
Abstract(s)
Air quality traffic-related measures have been implemented worldwide to control the pollution levels of
urban areas. Although some of those measures are claiming environmental improvements, few studies
have checked their real impact. In fact, quantitative estimates are often focused on reducing emissions,
rather than on evaluating the actual measures’ effect on air quality. Even when air quality studies are
conducted, results are frequently unclear.
In order to properly assess the real impact on air quality of traffic-related measures, a statistical
method is proposed. The method compares the pollutant concentration levels observed after the
implementation of a measure with the concentration values of the previous year. Short- and long-term
impact is assessed considering not only their influence on the average pollutant concentration, but also
on its maximum level. To control the effect of the main confounding factors, only the days with similar
environmental conditions are analysed. The changeability of the key meteorological variables that affect
the transport and dispersion of the pollutant studied are used to identify and group the days categorized
as similar. Resemblance of the pollutants' concentration of the previous day is also taken into account.
The impact of the road traffic measures on the air pollutants’ concentration is then checked for those
similar days using specific statistical functions.
To evaluate the proposed method, the impact on PM2.5 concentrations of two air quality traffic-related
measures (M1 and M2) implemented in the city of Beijing are taken into consideration: M1 was
implemented in 2009, restricting the circulation of yellow-labelled vehicles, while M2 was implemented
in 2014, restricting the circulation of heavy-duty vehicles. To compare the results of each measure, a
time-period when these measures were not applied is used as case-control.
Description
Keywords
Statistical method Traffic measure Pollution Air quality Meteorology
Citation
Publisher
Elsevier