A Modelling Tool For PM10 Exposure
Assessment: An Application Example
Author(s)
E. Angelino, M. P. Costa, E. Peroni & C. Sala
Abstract
A tool has been developed with the aim of calculating population exposure to
PM10 concentrations. It integrates two main modules: a linker to the outputs of a
chemistry and transport model (outdoor ambient concentrations) and a timevariable
exposure module. The leading concept behind exposure modelling is
that time-weighted average exposure can be considered as the sum of the partial
exposures determined by both the concentration and the time spent in each so
called micro-environment. A run of a CTM (Chemical and Transport Model)
over the whole year of 2006 provided the PM10 hourly outdoor concentration
field. In the absence of specifically measured data, some input data, such as
infiltration parameters and indoor sources concentrations, have been chosen from
relevant literature data. This paper reports the main input data used and the
results obtained during an application to the domain under study, located in the
North of Italy. The results confirm that the population habits and indoor sources
contributions are the most critical parameters when assessing exposure.
Keywords: exposure modelling, particulate modelling, air quality management.
1 Introduction
A modelling system for exposure assessment must be able to integrate numerous
and various pieces of information such as land use, emissions, meteorology,
dispersion and chemical reactions of pollutants, population activity patterns and
distribution. In recent years a growing integration of all this information,
generally obtained by employing different and separate models in the past, into
more sophisticated and comprehensive modelling systems has occurred. In the
past, US modelling groups have supported the most comprehensive efforts in this
area (Seigneur [14], Burke et al [3]), but recent European efforts have also
Keywords
exposure modelling, particulate modelling, air quality management.
Related Book
Other papers in this volume
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