Konferenzbeitrag
Towards an air pollution health study data management system - A case study from a smoky Swiss railway
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Dokumententyp
Text/Conference Paper
Datum
2015
Zeitschriftentitel
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Bandtitel
Quelle
EnviroInfo & ICT4S, Adjunct Proceedings
ConverStation II
Verlag
University of Copenhagen
Zusammenfassung
In air pollution health studies, measurements are conducted
intensively but only periodically at numerous locations in a variety
of environments (indoors, outdoors, personal). Often a variety of
instruments are used to measure various pollutants ranging from
gases (eg, CO, NO2, O3, VOCs, PAHs) to particulate matter (eg,
particles smaller than 2.5um: PM2.5, PM10, ultrafine particles: UFP),
and including other environmental parameters such as temperature,
relative humidity, GPS position. As a result it is always a significant
challenge for researchers to effectively QA/QC, combine, and archive
these data so as to reliably assess peoples exposure to poor air quality.
With the CEDAR system presented here we aim to provide a solution
to this problem by employing a platform using templates for easily
reading custom formatted files, apply rules for filtering and quality
checking measurements, and ultimately publishing them as services
on the web. The system is demonstrated for the case an air quality
project conducted in a Swiss railway station where smoking is allowed.