Low-Cost sensors for urban air quality monitoring: preliminary laboratory and in-field tests within the TECNAIRE-CM project

Artiñano, Begoña and Narros Sierra, Adolfo and Díaz, Elías and Gómez, Francisco Javier and Borge García, Rafael (2019). Low-Cost sensors for urban air quality monitoring: preliminary laboratory and in-field tests within the TECNAIRE-CM project. In: "2019 5th Experiment International Conference (exp.at'19)", 12-14 Jun, 2019, Funchal (Portugal). ISBN 978-1-7281-3637-0. pp. 462-466. https://doi.org/10.1109/EXPAT.2019.8876579.

Description

Title: Low-Cost sensors for urban air quality monitoring: preliminary laboratory and in-field tests within the TECNAIRE-CM project
Author/s:
  • Artiñano, Begoña
  • Narros Sierra, Adolfo
  • Díaz, Elías
  • Gómez, Francisco Javier
  • Borge García, Rafael
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2019 5th Experiment International Conference (exp.at'19)
Event Dates: 12-14 Jun, 2019
Event Location: Funchal (Portugal)
Title of Book: 5th Experiment@ International Conference - exp.at’19 Proceedings
Date: 2019
ISBN: 978-1-7281-3637-0
Subjects:
Freetext Keywords: air quality; low cost sensors; linear regression; multivariate linear regression; artificial neural networks
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Química Industrial y del Medio Ambiente
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Low-cost sensor technology can potentially make revolutionary changes in our current air pollution monitoring paradigm in urban areas. However, the widespread adoption of low-cost sensor technology is still not feasible due to a number of limitations regarding sensitivity, accuracy and comparability. In this study we report the results from preliminary laboratory and in-field tests carried out within the TECNAIRE-CM project for commercial NO2 and O3 sensors including both, solid-state and electrochemical technologies. The ultimate goal is to understand the current capabilities of this technology and the prospects to incorporate it in both research and routine measurement or urban air quality. We found significant performance differences although none of the devices tested could provide satisfactory results in real-world conditions. We conclude that unit-specific advanced statisticalcalibration methods are needed to obtain reliable results with the low cost sensors devices in urban areas.

Funding Projects

TypeCodeAcronymLeaderTitle
Madrid Regional GovernmentS2013/MAE-2972AIRTEC-CMUnspecifiedTécnicas innovadoras para la evaluación y mejora de la calidad del aire urbano

More information

Item ID: 65130
DC Identifier: https://oa.upm.es/65130/
OAI Identifier: oai:oa.upm.es:65130
DOI: 10.1109/EXPAT.2019.8876579
Official URL: https://expat.org.pt/home/
Deposited by: Memoria Investigacion
Deposited on: 03 Nov 2020 16:06
Last Modified: 03 Nov 2020 16:06
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