Abstract:

Air pollution distribution within an urban area is varied according to a number of factors, such as topographical feature, land use, as well as type of emission source and its intensity. The variation might result in localised air pollution (hotspots). Such situation could have health impact consequences to the people in that location, e.g. people who are exposed to high road-side air pollution concentration while waiting on the bus-stand.

This paper explores the patterns and dominant parameters of road-side air quality from campaign road-side monitoring: measuring PM10, NOx, SO2, CO and O3, traffic characteristic and compares the data with that measured at urban and sub-urban backgrounds, conducted in Jakarta and Bandung. The diurnal patterns of 1-hour road-side average concentration of primary pollutants (PM10, NOx,SO2 and CO) were found consistent with the traffic flow pattern, although the concentration magnitudes of SO2 and CO in general were still comply with AAQS. Meanwhile O3 showed low concentration compared to that measured at sub-urban location, with diurnal fluctuation resembles that of solar radiation.

On the other hand, at road-side, non-compliance of NOx was often observed, indicating that road-side can be an NOx hotspot. Related to a need for optimizing urban monitoring network to have a better spatial coverage in light of limited resources for monitoring, this exercise implies that selective monitoring can be done, e.g. only monitor NOx at road-side, O3 at sub-urban/rural, or SO2 at industrial hotspots.

This road side monitoring data analysis then becomes beneficial to measure the effectiveness of varied simulated traffic management schemes in the frame of mind of sustainable transport. The variation of schemes exercised is including: item, scale and priority in traffic management scope.

Presentation: http://www.cleanairnet.org/baq2006/1757/docs/SW14_2.ppt