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Modelling dynamics and uncertainty in assessment of quality standards for fine particulate matters

digital Modelling dynamics and uncertainty in assessment of quality standards for fine particulate matters
Article
journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2006 - 2
title Modelling dynamics and uncertainty in assessment of quality standards for fine particulate matters
authors
publisher Vita e Pensiero
format Article | Pdf
language English
online since 06-2016
issn 18246672 (print)
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In order to assess compliance with air quality standards, European regulations prescribe to monitoring the concentration of particulate matters and to control both annual and daily averages. The measurement accuracy varies according to monitor type, temperature and pollution level, often in a complex nonlinear manner. Consequently, comparisons, threshold exceedances interpretation and compliance assessment are often difficult.
In this paper, we consider the displaced dynamical calibration (DDC) model which is able to calibrate biased readings by using displaced data obtained by reference instruments. Moreover, we discuss the uncertainty of annual averages of daily concentrations. An application to the Northern Italy air quality network allows us to draw some empirical conclusions.

Keywords: PM10 , measurement instruments, calibration, state-space modelling, quality standard assessment.

Authors biography

Alessandro Fassò, Dipartimento di Ingegneria Gestionale e dell’Informazione – Università degli Studi di Bergamo – viale Marconi, 5, 24044 DALMINE (e-mail: alessandro.fasso@unibg.it).
Orietta Nicolis, Dipartimento di Ingegneria Gestionale e dell’Informazione – Università degli Studi di Bergamo – viale Marconi, 5, 24044 DALMINE (e-mail: orietta.nicolis@unibg.it).

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