Literature DB >> 32121462

Validation of Low-Cost Sensors in Measuring Real-Time PM10 Concentrations at Two Sites in Delhi National Capital Region.

Ravi Sahu1, Kuldeep Kumar Dixit1, Suneeti Mishra1, Purushottam Kumar1, Ashutosh Kumar Shukla1, Ronak Sutaria2, Shashi Tiwari3, Sachchida Nand Tripathi1.   

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 PM10 concentrations. We examined the ambient PM10 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 PM10 concentrations at highly polluted monitoring sites. PM10 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 PM10 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 PM10 datasets. Strong Spearman's rank-order correlations (rs = 0.64-0.83) between the studied instruments indicated the utility of low-cost Plantower PM sensors in measuring PM10 in the real-world context. Additionally, the heat map for weekly datasets demonstrated high R2 values, establishing the efficacy of PM sensor in PM10 measurement in highly polluted environmental conditions.

Entities:  

Keywords:  PM10; data merging tool; data validation; low-cost sensors; real-time monitoring; urban air pollution

Year:  2020        PMID: 32121462     DOI: 10.3390/s20051347

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  4 in total

1.  Statistical field calibration of a low-cost PM2.5 monitoring network in Baltimore.

Authors:  Abhirup Datta; Arkajyoti Saha; Misti Levy Zamora; Colby Buehler; Lei Hao; Fulizi Xiong; Drew R Gentner; Kirsten Koehler
Journal:  Atmos Environ (1994)       Date:  2020-07-22       Impact factor: 4.798

Review 2.  Establishing A Sustainable Low-Cost Air Quality Monitoring Setup: A Survey of the State-of-the-Art.

Authors:  Mannam Veera Narayana; Devendra Jalihal; S M Shiva Nagendra
Journal:  Sensors (Basel)       Date:  2022-01-05       Impact factor: 3.576

3.  Evaluating the Performance of Low-Cost Air Quality Monitors in Dallas, Texas.

Authors:  Haneen Khreis; Jeremy Johnson; Katherine Jack; Bahar Dadashova; Eun Sug Park
Journal:  Int J Environ Res Public Health       Date:  2022-01-31       Impact factor: 3.390

4.  Calibration of SO2 and NO2 Electrochemical Sensors via a Training and Testing Method in an Industrial Coastal Environment.

Authors:  Sofía Ahumada; Matias Tagle; Yeanice Vasquez; Rodrigo Donoso; Jenny Lindén; Fredrik Hallgren; Marta Segura; Pedro Oyola
Journal:  Sensors (Basel)       Date:  2022-09-26       Impact factor: 3.847

  4 in total

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