Quality control and gap-filling of PM10 daily mean concentrations with the best linear unbiased estimator
Autor: | Igor Petenko, Stefania Argentini, S Ceradini, A. Bolignano, Roberto Sozzi, M Morelli |
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Rok vydání: | 2017 |
Předmět: |
Pollutant
Engineering 010504 meteorology & atmospheric sciences business.industry Air pollution General Medicine 010501 environmental sciences Management Monitoring Policy and Law Best linear unbiased prediction medicine.disease_cause 01 natural sciences Pollution Quality (physics) Environmental monitoring Statistics medicine Measurement uncertainty business Air quality index Reliability (statistics) 0105 earth and related environmental sciences General Environmental Science |
Zdroj: | Environmental Monitoring and Assessment. 189 |
ISSN: | 1573-2959 0167-6369 |
DOI: | 10.1007/s10661-017-6273-z |
Popis: | According to the European Directive 2008/50/CE, the air quality assessment consists in the measurement of the concentration fields, and the evaluation of the mean, number of exceedances, etc. of some chemical species dangerous to human health. The measurements provided by an air quality ground-based monitoring network are the main information source but the availability of these data is often limited by several technical and operational problems. In this paper, the best linear unbiased estimator (BLUE) is proposed to validate the pollutant concentration values and to fill the gaps in the measurement of time series collected by a monitoring network. The BLUE algorithm is tested using the daily mean concentrations of particulate matter having aerodynamic diameter less than 10 μ (PM10 concentrations) measured by the air quality monitoring sensors operating in the Lazio Region in Italy. The comparison between the estimated and measured data evidences an error comparable with the measurement uncertainty. Due to its simplicity and reliability, the BLUE will be used in the routine quality test procedures of the Lazio air quality monitoring network measurements. |
Databáze: | OpenAIRE |
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