Performance analysis of e-nose on-field calibration for city air pollution quantitative monitoring

S.D. Vito, G.D. Francia, M. Piga, L. Martinotto

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

In this work we report the results of a one year long performance evaluation of a solid state multi-sensor device calibrated with on field data, operating in a quantitativecity air pollution scenario. Univariate enose calibration in controlled environment typically hold poor performance when tested in the harsh traffic operative conditions1. In a previous work, we proposed and tested the use of on-field data for the multivariate calibration of a multisensor device for estimating benzene concentration, with a conventional station providingthe ground truth data2. Here, we present results obtained by this procedure when estimating NOx, NO2, CO concentrations over one year data acquisition campaign. Although showing a significantly worse relative estimation error with respect to benzene performances, results confirm that a neural calibration obtained with ten days long on field data segment can obtain optimal scores, with longer data segment being unable to obtain better performances. © 2008 IEEE.
Original languageEnglish
DOIs
Publication statusPublished - 2008
Event2008 IEEE Sensors, SENSORS 2008 - , Italy
Duration: 1 Jan 2008 → …

Conference

Conference2008 IEEE Sensors, SENSORS 2008
CountryItaly
Period1/1/08 → …

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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