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

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(10) concentrations. We examined the ambient PM(10) levels during an intense measurement campaign at two sites in the Delhi National...

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Autores principales: Sahu, Ravi, Dixit, Kuldeep Kumar, Mishra, Suneeti, Kumar, Purushottam, Shukla, Ashutosh Kumar, Sutaria, Ronak, Tiwari, Shashi, Tripathi, Sachchida Nand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085545/
https://www.ncbi.nlm.nih.gov/pubmed/32121462
http://dx.doi.org/10.3390/s20051347
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author Sahu, Ravi
Dixit, Kuldeep Kumar
Mishra, Suneeti
Kumar, Purushottam
Shukla, Ashutosh Kumar
Sutaria, Ronak
Tiwari, Shashi
Tripathi, Sachchida Nand
author_facet Sahu, Ravi
Dixit, Kuldeep Kumar
Mishra, Suneeti
Kumar, Purushottam
Shukla, Ashutosh Kumar
Sutaria, Ronak
Tiwari, Shashi
Tripathi, Sachchida Nand
author_sort Sahu, Ravi
collection PubMed
description 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(10) concentrations. We examined the ambient PM(10) 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(10) concentrations at highly polluted monitoring sites. PM(10) 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(10) 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(10) datasets. Strong Spearman’s rank-order correlations (r(s) = 0.64–0.83) between the studied instruments indicated the utility of low-cost Plantower PM sensors in measuring PM(10) in the real-world context. Additionally, the heat map for weekly datasets demonstrated high R(2) values, establishing the efficacy of PM sensor in PM(10) measurement in highly polluted environmental conditions.
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spelling pubmed-70855452020-03-23 Validation of Low-Cost Sensors in Measuring Real-Time PM(10) Concentrations at Two Sites in Delhi National Capital Region Sahu, Ravi Dixit, Kuldeep Kumar Mishra, Suneeti Kumar, Purushottam Shukla, Ashutosh Kumar Sutaria, Ronak Tiwari, Shashi Tripathi, Sachchida Nand Sensors (Basel) Article 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(10) concentrations. We examined the ambient PM(10) 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(10) concentrations at highly polluted monitoring sites. PM(10) 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(10) 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(10) datasets. Strong Spearman’s rank-order correlations (r(s) = 0.64–0.83) between the studied instruments indicated the utility of low-cost Plantower PM sensors in measuring PM(10) in the real-world context. Additionally, the heat map for weekly datasets demonstrated high R(2) values, establishing the efficacy of PM sensor in PM(10) measurement in highly polluted environmental conditions. MDPI 2020-02-29 /pmc/articles/PMC7085545/ /pubmed/32121462 http://dx.doi.org/10.3390/s20051347 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sahu, Ravi
Dixit, Kuldeep Kumar
Mishra, Suneeti
Kumar, Purushottam
Shukla, Ashutosh Kumar
Sutaria, Ronak
Tiwari, Shashi
Tripathi, Sachchida Nand
Validation of Low-Cost Sensors in Measuring Real-Time PM(10) Concentrations at Two Sites in Delhi National Capital Region
title Validation of Low-Cost Sensors in Measuring Real-Time PM(10) Concentrations at Two Sites in Delhi National Capital Region
title_full Validation of Low-Cost Sensors in Measuring Real-Time PM(10) Concentrations at Two Sites in Delhi National Capital Region
title_fullStr Validation of Low-Cost Sensors in Measuring Real-Time PM(10) Concentrations at Two Sites in Delhi National Capital Region
title_full_unstemmed Validation of Low-Cost Sensors in Measuring Real-Time PM(10) Concentrations at Two Sites in Delhi National Capital Region
title_short Validation of Low-Cost Sensors in Measuring Real-Time PM(10) Concentrations at Two Sites in Delhi National Capital Region
title_sort validation of low-cost sensors in measuring real-time pm(10) concentrations at two sites in delhi national capital region
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085545/
https://www.ncbi.nlm.nih.gov/pubmed/32121462
http://dx.doi.org/10.3390/s20051347
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