A low-cost sensor system installed in buses to monitor air quality in cities
Main Author: | |
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Publication Date: | 2023 |
Other Authors: | , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10071/28220 |
Summary: | Air pollution is an important source of morbidity and mortality. It is essential to understand to what levels of air pollution citizens are exposed, especially in urban areas. Low-cost sensors are an easy-to-use option to obtain real-time air quality (AQ) data, provided that they go through specific quality control procedures. This paper evaluates the reliability of the ExpoLIS system. This system is composed of sensor nodes installed in buses, and a Health Optimal Routing Service App to inform the commuters about their exposure, dose, and the transport’s emissions. A sensor node, including a particulate matter (PM) sensor (Alphasense OPC-N3), was evaluated in laboratory conditions and at an AQ monitoring station. In laboratory conditions (approximately constant temperature and humidity conditions), the PM sensor obtained excellent correlations (R2≈1) against the reference equipment. At the monitoring station, the OPC-N3 showed considerable data dispersion. After several corrections based on the k-Köhler theory and Multiple Regression Analysis, the deviation was reduced and the correlation with the reference improved. Finally, the ExpoLIS system was installed, leading to the production of AQ maps with high spatial and temporal resolution, and to the demonstration of the Health Optimal Routing Service App as a valuable tool. |
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A low-cost sensor system installed in buses to monitor air quality in citiesAir qualityLow-cost sensorsParticulate matterMobile experimentsCalibrationAir pollution is an important source of morbidity and mortality. It is essential to understand to what levels of air pollution citizens are exposed, especially in urban areas. Low-cost sensors are an easy-to-use option to obtain real-time air quality (AQ) data, provided that they go through specific quality control procedures. This paper evaluates the reliability of the ExpoLIS system. This system is composed of sensor nodes installed in buses, and a Health Optimal Routing Service App to inform the commuters about their exposure, dose, and the transport’s emissions. A sensor node, including a particulate matter (PM) sensor (Alphasense OPC-N3), was evaluated in laboratory conditions and at an AQ monitoring station. In laboratory conditions (approximately constant temperature and humidity conditions), the PM sensor obtained excellent correlations (R2≈1) against the reference equipment. At the monitoring station, the OPC-N3 showed considerable data dispersion. After several corrections based on the k-Köhler theory and Multiple Regression Analysis, the deviation was reduced and the correlation with the reference improved. Finally, the ExpoLIS system was installed, leading to the production of AQ maps with high spatial and temporal resolution, and to the demonstration of the Health Optimal Routing Service App as a valuable tool.MDPI2023-03-07T12:12:54Z2023-01-01T00:00:00Z20232023-03-07T12:11:52Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/28220eng1660-460110.3390/ijerph20054073Correia, C.Martins, V.Matroca, B.Santana, P.Mariano, P.Almeida, A.Almeida, S.M.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-07T03:54:19Zoai:repositorio.iscte-iul.pt:10071/28220Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:34:01.485240Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
A low-cost sensor system installed in buses to monitor air quality in cities |
title |
A low-cost sensor system installed in buses to monitor air quality in cities |
spellingShingle |
A low-cost sensor system installed in buses to monitor air quality in cities Correia, C. Air quality Low-cost sensors Particulate matter Mobile experiments Calibration |
title_short |
A low-cost sensor system installed in buses to monitor air quality in cities |
title_full |
A low-cost sensor system installed in buses to monitor air quality in cities |
title_fullStr |
A low-cost sensor system installed in buses to monitor air quality in cities |
title_full_unstemmed |
A low-cost sensor system installed in buses to monitor air quality in cities |
title_sort |
A low-cost sensor system installed in buses to monitor air quality in cities |
author |
Correia, C. |
author_facet |
Correia, C. Martins, V. Matroca, B. Santana, P. Mariano, P. Almeida, A. Almeida, S.M. |
author_role |
author |
author2 |
Martins, V. Matroca, B. Santana, P. Mariano, P. Almeida, A. Almeida, S.M. |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Correia, C. Martins, V. Matroca, B. Santana, P. Mariano, P. Almeida, A. Almeida, S.M. |
dc.subject.por.fl_str_mv |
Air quality Low-cost sensors Particulate matter Mobile experiments Calibration |
topic |
Air quality Low-cost sensors Particulate matter Mobile experiments Calibration |
description |
Air pollution is an important source of morbidity and mortality. It is essential to understand to what levels of air pollution citizens are exposed, especially in urban areas. Low-cost sensors are an easy-to-use option to obtain real-time air quality (AQ) data, provided that they go through specific quality control procedures. This paper evaluates the reliability of the ExpoLIS system. This system is composed of sensor nodes installed in buses, and a Health Optimal Routing Service App to inform the commuters about their exposure, dose, and the transport’s emissions. A sensor node, including a particulate matter (PM) sensor (Alphasense OPC-N3), was evaluated in laboratory conditions and at an AQ monitoring station. In laboratory conditions (approximately constant temperature and humidity conditions), the PM sensor obtained excellent correlations (R2≈1) against the reference equipment. At the monitoring station, the OPC-N3 showed considerable data dispersion. After several corrections based on the k-Köhler theory and Multiple Regression Analysis, the deviation was reduced and the correlation with the reference improved. Finally, the ExpoLIS system was installed, leading to the production of AQ maps with high spatial and temporal resolution, and to the demonstration of the Health Optimal Routing Service App as a valuable tool. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-07T12:12:54Z 2023-01-01T00:00:00Z 2023 2023-03-07T12:11:52Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
format |
article |
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dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/28220 |
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http://hdl.handle.net/10071/28220 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1660-4601 10.3390/ijerph20054073 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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MDPI |
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MDPI |
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