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Calibration of a cluster of low-cost sensors for the measurement of air pollution in ambient air

TitoloCalibration of a cluster of low-cost sensors for the measurement of air pollution in ambient air
Tipo di pubblicazionePresentazione a Congresso
Anno di Pubblicazione2014
AutoriSpinelle, L., Gerboles M., Villani Maria Gabriella, Aleixandre M., and Bonavitacola F.
Conference NameProceedings of IEEE Sensors
EditoreInstitute of Electrical and Electronics Engineers Inc.
Parole chiaveAir pollution, Air quality, Air quality directives, Calibration, Calibration method, Chemical sensors, Clustered systems, Data quality objectives, Measurement uncertainty, Multivariate linear regressions, Multivariate regression, Neural networks, Nitrogen, Nitrogen dioxides, Nitrogen oxides, Ozone, Regression analysis, Uncertainty analysis
Abstract

Using a clustered system of sensors able to measure O3, NO/NO2, CO and CO2, we want to compare the performance of several calibration methods. Based on the outcome of the single sensor's evaluation, the suitability of this cluster is investigated using deterministic or statistical methods such as multivariate regression and neural networks. The objective of the study is to assess if the measurement uncertainty of sensors can reach the Data Quality Objective of the European Air Quality Directive for indicative methods. © 2014 IEEE.
URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84931045167&doi=10.1109%2fICSENS.2014.6984922&partnerID=40&md5=a91db26e9955e3d03d0be46a13342719
DOI10.1109/ICSENS.2014.6984922
Citation KeySpinelle201421