| Title: | Can low-cost sensors (LCS) enhance air quality monitoring for personal pollution exposure assessment? |
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| Authors: | ID Ilenič, Anja (Author)
ID Mauko Pranjić, Alenka (Author)
ID Ščančar, Janez (Author)
ID Milačič Ščančar, Radmila (Author)
ID Prashant, Kumar (Author) |
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| Files: |  URL - Source URL, visit https://doi.org/10.1088/2515-7620/ae02ef
 DOCX - Supplement, download (37,97 KB)
MD5: 271FF99E3B8CE21D3E6F2D1FCCAEB1D6
 PDF - Presentation file, download (3,32 MB)
MD5: 751265314F474A5CDC907509EF62F687
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  ZAG - Slovenian National Building and Civil Engineering Institute
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| Abstract: | Laboratory and field assessments of low-cost sensors (LCS) are essential for ensuring the accuracy of PM2.5 measurements collected by citizens in air quality campaigns. Evaluation of Sensirion SPS30 (LCS SPS30) in controlled laboratory setting showed a coefficient of determination (R2) ranging from 0.81–0.99 and a root mean square error (RMSE) from 0.81–61.72 μg m−3, at average concentration of 21.5 μg m−3. In contrast, co-location assessment at an average concentration of 9 μg m−3 resulted in R2 of 0.5 and a RMSE of 6.82 μg m−3. The results demonstrated that the sensor met micro-environmental monitoring standards (accuracy < 25%) and United States Environmental Protection Agency's performance criteria (RMSE ≤ 7 μg m−3, R2 > 0.7) only at relative humidity (RH) levels below 60%, emphasising its strong sensitivity to RH and the need for RH-dependent data corrections. The observed underestimation or overestimation of PM2.5 readings was primarily attributed to variations in particle composition and concentration. Despite accuracy variations, LCSs can effectively capture spatiotemporal urban air quality patterns and identify pollution hotspots in community monitoring, particularly in low-pollution environments. In a citizen-led PM2.5 monitoring campaign in Maribor, Slovenia, the lowest concentrations were recorded at 15:00 (2.9 μg m−3), while the highest occurred during the morning rush-hour (4.8 μg m−3), likely attributed to the planetary boundary layer’s impact on atmospheric particulate dispersion. Spatial analysis revealed that hotspots clustered near intersections, where vehicle waiting time is the longest. |
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| Keywords: | particulate matter, low-cost sensor, Sensirion SPS30, citizen science, calibration |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 11.09.2025 |
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| Publisher: | IOP Publishing |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 1-11 |
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| Numbering: | Vol. 7, no. 9, [article no.] 095007 |
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| PID: | 20.500.12556/DiRROS-23638  |
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| UDC: | 54 |
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| ISSN on article: | 2515-7620 |
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| DOI: | 10.1088/2515-7620/ae02ef |
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| COBISS.SI-ID: | 248664323 |
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| Copyright: | © 2025 The Author(s) |
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| Publication date in DiRROS: | 18.09.2025 |
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| Views: | 272 |
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| Downloads: | 183 |
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