Chapter 75
Trying to Link Personal Exposure
Measurement and Population Exposure
Modelling: A Test Case in Liège, Belgium
Fabian Lenartz, Virginie Hutsemékers and Wouter Lefebvre
Abstract Commonly, population exposure is evaluated by crossing data of atmospheric pollution and population density maps. The former are usually actual measurements or simulated concentrations; depending on the approach or the model
resolution, very different patterns may appear both in space and time, so that conclusions can vary significantly. The latter are usually based on residency information,
and for many of us, do not reflect the typical wanderings, thus actual exposure.
With the rise of portable devices, we are given the unprecedented opportunity to
measure pollutant concentrations at a high time rate and to know the exact location of a subject. Moreover, the increase of computational capacities allows one to
perform operational runs at spatial and temporal resolutions of about 10 m and 1 h
respectively. Furthermore, if the subject writes an activity log, it is also possible
to discriminate indoor and outdoor situations. In this ongoing work, we investigate
the discrepancy in the evaluation of population exposure when using, on one hand
different pollutant concentration maps e.g. yearly, daily or hourly average values,
more or less sophisticated and/or refined models, different information related to the
population e.g. static or dynamic and on the other hand actual data. Our region of
interest for this test case is the city of Liège in Belgium.
75.1 Introduction
One of the two general methods to assess air pollution personal exposure is air
monitoring, which depends either on direct measurements via personal monitors,
or on indirect measurements via fixed-site analyzers combined with data on time
F. Lenartz (B)
ISSeP, Rue du Chéra 200, 4000 Liège, Belgium
e-mail: f.lenartz@issep.be
V. Hutsemékers
AwAC, Avenue Prince de Liège, 5100 Jambes, Belgium
W. Lefebvre
VITO, Boeretang 200, 2400 Mol, Belgium
© Springer Nature Switzerland AG 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity,
https://doi.org/10.1007/978-3-030-22055-6_75
475
Trying to Link Personal Exposure
Measurement and Population Exposure
Modelling: A Test Case in Liège, Belgium
Fabian Lenartz, Virginie Hutsemékers and Wouter Lefebvre
Abstract Commonly, population exposure is evaluated by crossing data of atmospheric pollution and population density maps. The former are usually actual measurements or simulated concentrations; depending on the approach or the model
resolution, very different patterns may appear both in space and time, so that conclusions can vary significantly. The latter are usually based on residency information,
and for many of us, do not reflect the typical wanderings, thus actual exposure.
With the rise of portable devices, we are given the unprecedented opportunity to
measure pollutant concentrations at a high time rate and to know the exact location of a subject. Moreover, the increase of computational capacities allows one to
perform operational runs at spatial and temporal resolutions of about 10 m and 1 h
respectively. Furthermore, if the subject writes an activity log, it is also possible
to discriminate indoor and outdoor situations. In this ongoing work, we investigate
the discrepancy in the evaluation of population exposure when using, on one hand
different pollutant concentration maps e.g. yearly, daily or hourly average values,
more or less sophisticated and/or refined models, different information related to the
population e.g. static or dynamic and on the other hand actual data. Our region of
interest for this test case is the city of Liège in Belgium.
75.1 Introduction
One of the two general methods to assess air pollution personal exposure is air
monitoring, which depends either on direct measurements via personal monitors,
or on indirect measurements via fixed-site analyzers combined with data on time
F. Lenartz (B)
ISSeP, Rue du Chéra 200, 4000 Liège, Belgium
e-mail: f.lenartz@issep.be
V. Hutsemékers
AwAC, Avenue Prince de Liège, 5100 Jambes, Belgium
W. Lefebvre
VITO, Boeretang 200, 2400 Mol, Belgium
© Springer Nature Switzerland AG 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity,
https://doi.org/10.1007/978-3-030-22055-6_75
475