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Towards an air pollution health study data management system - A case study from a smoky Swiss railway

Authors
Papoutsoglou, Evangelia (Democritus University of Thrace, Xanthi)
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Samourkasidis, Argyrios (Democritus University of Thrace, Xanthi)
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Tsai, Ming-Yi (Swiss Tropical and Public Health Institute, Basel)
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Davey, Mark (Swiss Tropical and Public Health Institute, Basel)
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Ineichen, Alex (Swiss Tropical and Public Health Institute, Basel)
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Eeftens, Marloes (Swiss Tropical and Public Health Institute, Basel)
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Athanasiadis, Ioannis N. (Democritus University of Thrace, Xanthi)
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Chapter ConverStation II
Volume EnviroInfo & ICT4S, Adjunct Proceedings (Part 2)
Conference Building the knowledge base for environmental action and sustainability
Copenhagen, 2015
Year 2015
Abstract of the Article
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.
Pages 65 - 74
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