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Estimation of the measurement uncertainty of ambient air pollution datasets using geostatistical analysis
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Estimation of the measurement uncertainty of ambient air pollution datasets using geostatistical analysis

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We developed a methodology able to automatically estimate of measurement uncertainty in the air pollution data sets of AirBase. The figures produced with this method were consistent with expectations from laboratory and field estimation of uncertainty and with the Data Quality Objectives of European Air Quality Directives. The proposed method based on geostatistical analysis is not able to estimate directly the measurement uncertainty. It estimates the nugget effect from variogram modelling together with a micro-scale variability which must be minimized by accurate selection of the type of station. Based on the results obtained so far, it is likely that measurement uncertainty is best estimated using all background stations of whatever area type. So far the methodology has been used to estimate measurement uncertainty in datasets from 4 different countries independently. This work should be continued for the whole Europe or for background station without national borders. The method has been shown to be also useful to compare the spatial continuity of air pollution in different countries that seems to be influenced by the spatial distribution of the stations (e.g influenced by topography) of each country. Moreover, the method may be used to quantify the trend of measurement uncertainty over long periods (decades) with the possibility to evidence improvement in the data quality of AirBase datasets. The implemented outlier detection module would be of interest as the warning system when countries report their measurements to the European Environment Agency. The method could also provides a simple solution to investigate the assignment and accuracy of station classification in AirBase.
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ISSN 1018-5593
ISBN 978-92-79-16358-6
DOI 10.2788/44902
Número de catálogo LB-NA-24475-EN-C
PDF
ISSN 1018-5593 ISBN 978-92-79-16358-6 DOI 10.2788/44902 Número de catálogo LB-NA-24475-EN-C
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