Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites
Abstract Air quality is a global concern, with particulate matter receiving considerable attention due to its impact on human health and climate change. Recent advances in low-cost sensors allow their deployment in large number to measure spatio-temporal and real-time air quality data. Low-cost sens...
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| Format: | Article |
| Language: | English |
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Springer
2023-02-01
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| Series: | Aerosol and Air Quality Research |
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| Online Access: | https://doi.org/10.4209/aaqr.220390 |
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| author | Vishal R. Dharaiya Vasudev Malyan Vikas Kumar Manoranjan Sahu Chandra Venkatraman Pratim Biswas Kajal Yadav Diksha Haswani Ramya Sunder Raman Ruqia Bhat Tanveer Ahmad Najar Arshid Jehangir Rohit P. Patil G. Pandithurai Sandeep Singh Duhan Jitendra Singh Laura |
| author_facet | Vishal R. Dharaiya Vasudev Malyan Vikas Kumar Manoranjan Sahu Chandra Venkatraman Pratim Biswas Kajal Yadav Diksha Haswani Ramya Sunder Raman Ruqia Bhat Tanveer Ahmad Najar Arshid Jehangir Rohit P. Patil G. Pandithurai Sandeep Singh Duhan Jitendra Singh Laura |
| author_sort | Vishal R. Dharaiya |
| collection | DOAJ |
| description | Abstract Air quality is a global concern, with particulate matter receiving considerable attention due to its impact on human health and climate change. Recent advances in low-cost sensors allow their deployment in large number to measure spatio-temporal and real-time air quality data. Low-cost sensors need careful evaluation with both regulatory approved methods and other data sets to understand their efficacy. In this work, PM concentrations measured by deploying low-cost sensors at four regional sites are evaluated through comparison with satellite-based model MERRA-2 and the SASS reference instrument. Daily PM2.5 mass concentration variation was analyzed at four regional sites of India from January 2020 to July 2020, including pre-lockdown and six different lockdown periods. Higher PM2.5 concentration was observed at Rohtak (119 µg m−3) compared to Mahabaleshwar (33 (µm−3), Bhopal (45 µg m−3) and Kashmir sites during the pre-lock down period. During the lockdown period, the PM2.5 mass concentration was reduced significantly compared to the pre-lockdown period at every location, although the PM2.5 concentration was different at each location. The air quality trend was quite similar in both the measurements, however, MERRA-2 reconstructed PM2.5 was significantly lower in the pre-lockdown period compared to the lockdown periods. Significant differences were observed between low-cost sensor measurements and MERRA-2 reanalysis data. These are attributed to the MERRA-2 modelling analysis that measures less PM2.5 concentration as compared to ground-based measurements, whereas low-cost sensor are ground-based measurements but needs corrections as it is subject to the calibration dependencies and biases. |
| format | Article |
| id | doaj-art-255f5fec02254e8f8d84c6d21f806351 |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2023-02-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-255f5fec02254e8f8d84c6d21f8063512025-02-09T12:22:51ZengSpringerAerosol and Air Quality Research1680-85842071-14092023-02-0123512210.4209/aaqr.220390Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network SitesVishal R. Dharaiya0Vasudev Malyan1Vikas Kumar2Manoranjan Sahu3Chandra Venkatraman4Pratim Biswas5Kajal Yadav 6Diksha Haswani7Ramya Sunder Raman8Ruqia Bhat9Tanveer Ahmad Najar10Arshid Jehangir11Rohit P. Patil12G. Pandithurai13Sandeep Singh Duhan14Jitendra Singh Laura15Aerosol and Nanoparticle Technology Laboratory, Environmental Science and Engineering Department, Indian Institute of Technology BombayAerosol and Nanoparticle Technology Laboratory, Environmental Science and Engineering Department, Indian Institute of Technology BombayInter-Disciplinary Program in Climate Studies, Indian Institute of Technology BombayAerosol and Nanoparticle Technology Laboratory, Environmental Science and Engineering Department, Indian Institute of Technology BombayDepartment of Chemical Engineering, Indian Institute of Technology BombayDeparment of Chemical, Environmental and Materials Engineering, University of MiamiDepartment of Earth and Environmental Sciences, Indian Institute of Science Education and Research BhopalDepartment of Earth and Environmental Sciences, Indian Institute of Science Education and Research BhopalDepartment of Earth and Environmental Sciences, Indian Institute of Science Education and Research BhopalDepartment of Environmental Science, University of KashmirDepartment of Environmental Science, University of KashmirDepartment of Environmental Science, University of KashmirIndian Institute of Tropical Meteorology, Ministry of Earth SciencesIndian Institute of Tropical Meteorology, Ministry of Earth SciencesDepartment of Environmental Sciences, Maharshi Dayanand UniversityDepartment of Environmental Sciences, Maharshi Dayanand UniversityAbstract Air quality is a global concern, with particulate matter receiving considerable attention due to its impact on human health and climate change. Recent advances in low-cost sensors allow their deployment in large number to measure spatio-temporal and real-time air quality data. Low-cost sensors need careful evaluation with both regulatory approved methods and other data sets to understand their efficacy. In this work, PM concentrations measured by deploying low-cost sensors at four regional sites are evaluated through comparison with satellite-based model MERRA-2 and the SASS reference instrument. Daily PM2.5 mass concentration variation was analyzed at four regional sites of India from January 2020 to July 2020, including pre-lockdown and six different lockdown periods. Higher PM2.5 concentration was observed at Rohtak (119 µg m−3) compared to Mahabaleshwar (33 (µm−3), Bhopal (45 µg m−3) and Kashmir sites during the pre-lock down period. During the lockdown period, the PM2.5 mass concentration was reduced significantly compared to the pre-lockdown period at every location, although the PM2.5 concentration was different at each location. The air quality trend was quite similar in both the measurements, however, MERRA-2 reconstructed PM2.5 was significantly lower in the pre-lockdown period compared to the lockdown periods. Significant differences were observed between low-cost sensor measurements and MERRA-2 reanalysis data. These are attributed to the MERRA-2 modelling analysis that measures less PM2.5 concentration as compared to ground-based measurements, whereas low-cost sensor are ground-based measurements but needs corrections as it is subject to the calibration dependencies and biases.https://doi.org/10.4209/aaqr.220390PM2.5Air qualityLow-cost sensorSASSMERRA-2COVID-19 lockdown |
| spellingShingle | Vishal R. Dharaiya Vasudev Malyan Vikas Kumar Manoranjan Sahu Chandra Venkatraman Pratim Biswas Kajal Yadav Diksha Haswani Ramya Sunder Raman Ruqia Bhat Tanveer Ahmad Najar Arshid Jehangir Rohit P. Patil G. Pandithurai Sandeep Singh Duhan Jitendra Singh Laura Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites Aerosol and Air Quality Research PM2.5 Air quality Low-cost sensor SASS MERRA-2 COVID-19 lockdown |
| title | Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites |
| title_full | Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites |
| title_fullStr | Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites |
| title_full_unstemmed | Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites |
| title_short | Evaluating the Performance of Low-cost PM Sensors over Multiple COALESCE Network Sites |
| title_sort | evaluating the performance of low cost pm sensors over multiple coalesce network sites |
| topic | PM2.5 Air quality Low-cost sensor SASS MERRA-2 COVID-19 lockdown |
| url | https://doi.org/10.4209/aaqr.220390 |
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