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Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and Research

Over the last decade, manufacturers have come forth with cost-effective sensors for measuring ambient and indoor particulate matter concentration. What these sensors make up for in cost efficiency, they lack in reliability of the measured data due to their sensitivities to temperature and relative h...

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Autores principales: Venkatraman Jagatha, Janani, Klausnitzer, André, Chacón-Mateos, Miriam, Laquai, Bernd, Nieuwkoop, Evert, van der Mark, Peter, Vogt, Ulrich, Schneider, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228976/
https://www.ncbi.nlm.nih.gov/pubmed/34201377
http://dx.doi.org/10.3390/s21123960
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author Venkatraman Jagatha, Janani
Klausnitzer, André
Chacón-Mateos, Miriam
Laquai, Bernd
Nieuwkoop, Evert
van der Mark, Peter
Vogt, Ulrich
Schneider, Christoph
author_facet Venkatraman Jagatha, Janani
Klausnitzer, André
Chacón-Mateos, Miriam
Laquai, Bernd
Nieuwkoop, Evert
van der Mark, Peter
Vogt, Ulrich
Schneider, Christoph
author_sort Venkatraman Jagatha, Janani
collection PubMed
description Over the last decade, manufacturers have come forth with cost-effective sensors for measuring ambient and indoor particulate matter concentration. What these sensors make up for in cost efficiency, they lack in reliability of the measured data due to their sensitivities to temperature and relative humidity. These weaknesses are especially evident when it comes to portable or mobile measurement setups. In recent years many studies have been conducted to assess the possibilities and limitations of these sensors, however mostly restricted to stationary measurements. This study reviews the published literature until 2020 on cost-effective sensors, summarizes the recommendations of experts in the field based on their experiences, and outlines the quantile-mapping methodology to calibrate low-cost sensors in mobile applications. Compared to the commonly used linear regression method, quantile mapping retains the spatial characteristics of the measurements, although a common correction factor cannot be determined. We conclude that quantile mapping can be a useful calibration methodology for mobile measurements given a well-elaborated measurement plan assures providing the necessary data.
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spelling pubmed-82289762021-06-26 Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and Research Venkatraman Jagatha, Janani Klausnitzer, André Chacón-Mateos, Miriam Laquai, Bernd Nieuwkoop, Evert van der Mark, Peter Vogt, Ulrich Schneider, Christoph Sensors (Basel) Review Over the last decade, manufacturers have come forth with cost-effective sensors for measuring ambient and indoor particulate matter concentration. What these sensors make up for in cost efficiency, they lack in reliability of the measured data due to their sensitivities to temperature and relative humidity. These weaknesses are especially evident when it comes to portable or mobile measurement setups. In recent years many studies have been conducted to assess the possibilities and limitations of these sensors, however mostly restricted to stationary measurements. This study reviews the published literature until 2020 on cost-effective sensors, summarizes the recommendations of experts in the field based on their experiences, and outlines the quantile-mapping methodology to calibrate low-cost sensors in mobile applications. Compared to the commonly used linear regression method, quantile mapping retains the spatial characteristics of the measurements, although a common correction factor cannot be determined. We conclude that quantile mapping can be a useful calibration methodology for mobile measurements given a well-elaborated measurement plan assures providing the necessary data. MDPI 2021-06-08 /pmc/articles/PMC8228976/ /pubmed/34201377 http://dx.doi.org/10.3390/s21123960 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Venkatraman Jagatha, Janani
Klausnitzer, André
Chacón-Mateos, Miriam
Laquai, Bernd
Nieuwkoop, Evert
van der Mark, Peter
Vogt, Ulrich
Schneider, Christoph
Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and Research
title Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and Research
title_full Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and Research
title_fullStr Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and Research
title_full_unstemmed Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and Research
title_short Calibration Method for Particulate Matter Low-Cost Sensors Used in Ambient Air Quality Monitoring and Research
title_sort calibration method for particulate matter low-cost sensors used in ambient air quality monitoring and research
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228976/
https://www.ncbi.nlm.nih.gov/pubmed/34201377
http://dx.doi.org/10.3390/s21123960
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