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Validation of Low-Cost Sensors in Measuring Real-Time PM 10 Concentrations at Two Sites in Delhi National Capital Region.

Authors :
Sahu R
Dixit KK
Mishra S
Kumar P
Shukla AK
Sutaria R
Tiwari S
Tripathi SN
Source :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Feb 29; Vol. 20 (5). Date of Electronic Publication: 2020 Feb 29.
Publication Year :
2020

Abstract

In the present study, we assessed for the first time the performance of our custom-designed low-cost Particulate Matter (PM) monitoring devices (Atmos) in measuring PM <subscript>10</subscript> concentrations. We examined the ambient PM <subscript>10</subscript> levels during an intense measurement campaign at two sites in the Delhi National Capital Region (NCR), India. In this study, we validated the un-calibrated Atmos for measuring ambient PM <subscript>10</subscript> concentrations at highly polluted monitoring sites. PM <subscript>10</subscript> concentration from Atmos, containing laser scattering-based Plantower PM sensor, was comparable with that measured from research-grade scanning mobility particle sizers (SMPS) in combination with optical particle sizers (OPS) and aerodynamic particle sizers (APS). The un-calibrated sensors often provided accurate PM <subscript>10</subscript> measurements, particularly in capturing real-time hourly concentrations variations. Quantile-Quantile plots (QQ-plots) for data collected during the selected deployment period showed positively skewed PM <subscript>10</subscript> datasets. Strong Spearman's rank-order correlations ( r <subscript>s</subscript> = 0.64-0.83) between the studied instruments indicated the utility of low-cost Plantower PM sensors in measuring PM <subscript>10</subscript> in the real-world context. Additionally, the heat map for weekly datasets demonstrated high R <superscript>2</superscript> values, establishing the efficacy of PM sensor in PM <subscript>10</subscript> measurement in highly polluted environmental conditions.

Details

Language :
English
ISSN :
1424-8220
Volume :
20
Issue :
5
Database :
MEDLINE
Journal :
Sensors (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
32121462
Full Text :
https://doi.org/10.3390/s20051347