Real-Time Source Apportionment of Particulate Matter from Low-Cost Particle Sensors Using Machine Learning DOI
Vikas Kumar, Manoranjan Sahu, Basudev Biswal

et al.

Aerosol Science and Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 20, 2024

Language: Английский

Using low-cost sensors to assess common air pollution sources across multiple residences DOI Creative Commons

Catrin Rathbone,

Dimitrios Bousiotis,

Owain G. Rose

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 13, 2025

Abstract The rapid development of low-cost sensors provides the opportunity to greatly advance scope and extent monitoring indoor air pollution. In this study, calibrated particle matter (PM) a non-negative matrix factorisation (NMF) source apportionment technique are used investigate PM concentrations contributions across three households in an urban residential area. NMF is applied combined data from all houses generate profiles that can be understand how characteristics similar or differ between different same 2.5 10 were greater, more variable, significantly ambient recorded at nearby site. Concentrations also houses, with World Health Organisation 24-h guideline limits for breached one household. methodology was highly successful modelling (R 2 $$\ge$$ 0.983), finding I/O (indoor outdoor sources ratio) lowest 1 (down 0.08), greatest (up 4.93). Whilst could not clearly distinguished further than being outdoors indoors, clear insights variability within monitored houses. These results highlight importance pollution improve exposure estimates, as whilst people may live areas acceptable quality, they exposed unhealthy their own homes. This method future studies extended periods influence seasonality on scaled up larger geographical areas.

Language: Английский

Citations

2

Development and machine learning-based calibration of low-cost multiparametric stations for the measurement of CO2 and CH4 in air DOI Creative Commons
R. Biagi, Marco Ferrari, Stefanía Venturi

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e29772 - e29772

Published: April 24, 2024

The pressing issue of atmospheric pollution has prompted the exploration affordable methods for measuring and monitoring air contaminants as complementary techniques to standard methods, able produce high-density data in time space. main challenge this low-cost approach regards in-field accuracy reliability sensors. This study presents development stations high-time resolution measurements CO

Language: Английский

Citations

4

Emissions and exposure to NOx, CO, CO2 and PM2.5 from a gas stove using reference and low-cost sensors DOI
Daniel A. Jaffe,

Amelie Creekmore

Atmospheric Environment, Journal Year: 2024, Volume and Issue: 331, P. 120564 - 120564

Published: May 8, 2024

Language: Английский

Citations

4

Evaluating Indoor Air Quality in Residential Environments: A Study of PM2.5 and CO2 Dynamics Using Low-Cost Sensors DOI Open Access

Kabir Bahadur Shah,

Da-Hyun Kim,

Sai Deepak Pinakana

et al.

Environments, Journal Year: 2024, Volume and Issue: 11(11), P. 237 - 237

Published: Oct. 28, 2024

Indoor air quality (IAQ) poses a significant public health concern, and exposures to high levels of fine particulate matter (PM2.5) carbon dioxide (CO2) could have detrimental impacts. This study focused on assessing the indoor pollutants in residential house located town Mission, Hidalgo County, South Texas, USA. The PM2.5 CO2 were monitored indoors: kitchen bedroom. investigation also aimed elucidate effects household activities such as cooking human occupancy these pollutants. Low-cost sensors (LCSs) from TSI AirAssure™ used this study. They deployed within breathing zone at approximately 1.5 m above ground. Calibration low-cost against Federal Equivalent Method (FEM) instruments was undertaken using multiple linear regression method (MLR) model improve data accuracy. significantly influenced by activities, with peak concentrations reaching up 118.45 μg/m3. bedroom increased during occupant’s sleeping period, 1149.73 ppm. risk assessment assessed through toxicity potential (TP) calculations for concentrations. TP values 0.21 0.20 obtained bedroom, respectively. below hazard threshold (i.e., < 1). These low be attributed use electric stoves efficient ventilation systems. research highlights effectiveness continuous IAQ monitoring helps promote better awareness necessary interventions salubrious microenvironments.

Language: Английский

Citations

4

Impact of Wildfire Smoke PM2.5 on Indoor Air Quality of Public Buildings on a University Campus DOI
Rowshon Afroz,

Jarred Alonzo,

Sohaib Omar

et al.

ACS ES&T Air, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

With increasing wildfire events impacting many regions worldwide, understanding and mitigating the effects of smoke on indoor air quality (IAQ) in public buildings are essential for protecting occupant health. This study investigated impact IAQ across 24 campus Alberta, Canada, representing spaces with varied ventilation systems. Using a network low-cost sensors to monitor PM2.5, identified significant spikes during events, 71% exceeding Canadian Ambient Air Quality Standards daily limit 27 μg/m3. The had mechanical systems filters different Minimum Efficiency Reporting Value (MERV) ratings. MERV13 were found be more efficient at capturing PM2.5 particles, resulting lower indoor/outdoor ratios (0.12 ± 0.07) compared MERV8 (0.28 0.14). Buildings change rates (ACH) ranging from 5 15 per hour exhibited infiltration patterns, higher ACH generally leading elevated concentrations events. highlights need balance pollutant by optimizing filtration efficiency reduce PM2.5. trajectory-fire interception method, combined satellite data, enhanced identification wildfire-influenced periods, contributing better dynamics. These findings underscore that even advanced alone may not ensure healthy extreme pollution. Real-time measurements crucial effective management. offer valuable insights building administrators policymakers, helping them develop strategies mitigate support healthier environments seasons.

Language: Английский

Citations

0

AirPen: A Wearable Monitor for Characterizing Exposures to Particulate Matter and Volatile Organic Compounds DOI Creative Commons
Jessica Tryner, Casey Quinn, Emilio Molina Rueda

et al.

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(29), P. 10604 - 10614

Published: July 14, 2023

Exposure to air pollution is a leading risk factor for disease and premature death, but technologies assessing personal exposure particulate gaseous pollutants, including the timing location of such exposures, are limited. We developed small, quiet, wearable monitor, called AirPen, quantify exposures fine matter (PM

Language: Английский

Citations

7

Aerosol sources characterization and apportionment from low-cost particle sensors in an urban environment DOI Creative Commons
Vikas Kumar, Vasudev Malyan, Manoranjan Sahu

et al.

Atmospheric Environment X, Journal Year: 2024, Volume and Issue: 22, P. 100271 - 100271

Published: April 1, 2024

Low-cost sensors (LCS) have the potential to provide accurate and reliable measurements of air quality in real-time. This improves our ability monitor, identify sources pollution develop mitigation strategies for effective management. However, recent research on LCS has primarily focused monitoring, exposure assessment, calibration. In this study, we investigate applicability data collected at ambient sites characterizing apportioning aerosol sources. Non-negative matrix factorization (NMF) was applied size-resolved across five within Indian Institute Technology Bombay (IITB) campus Mumbai using Alphasense OPC-N2. The sampling done 15 days 5 locations IITB, each site only had 3 data. NMF resolved two factors three sites, namely aromas (S2), hostel hub (S3) central library (S4), while were construction (S1) main gate (S5). Two common determined all sites: (i) dust marine source (ii) traffic combustion sources, which agree with identified by studies literature. third factor S1 S5 is representative heavy-duty diesel vehicles (HDDVs), present a very short period captured because capability high temporal resolution LCS. offers unique, cost-effective advantage capturing episodic activities. study suggests that low- middle-income countries limited monitoring capabilities, size-time-resolved PM concentration obtained from network low-cost can estimate provided evidence despite their inherent limitations, be useful attaining interpretable information about recommends extensive use characterization future.

Language: Английский

Citations

1

Assessments and application of low-cost sensors to study indoor air quality in layer facilities DOI Creative Commons
Rowshon Afroz, Xinyang Guo, C Cheng

et al.

Environmental Technology & Innovation, Journal Year: 2024, Volume and Issue: 36, P. 103773 - 103773

Published: Aug. 3, 2024

Indoor poultry facilities often experience poor air quality due to intensive farming and restricted ventilation. Monitoring the in these barns is crucial considering health of both birds producers. Advancements sensor technologies have led development low-cost sensors (LCS) that can continuously monitor pollutants. Even though most Canada are indoors harsh winter weather conditions, there a lack indoor (IAQ) studies. This study aimed evaluate field performance LCS network table egg farm Canada, where were designed specifically for operating dusty continuously. The monitored IQA parameters such as particulate matter (PM), carbon dioxide (CO2), relative humidity, temperature real-time. By implementing correction factor, data resulted an agreement range 80 ± 20% with reference instrument. observed PM concentration exceeded several thousand μg/m3, PM10 at 5.5 × 104 2.2 PM2.5 6.3 103 2.3 103, which was found be affected by chicken activity light regime. IAQ also exhibited complex intercorrelation each other, well outdoor building ventilation rate. Sensors able make observations only research-grade instruments previous Overall, showcases potential affordable solution environmental monitoring facilities.

Language: Английский

Citations

1

Suitability of Low-Cost Sensors for Submicron Aerosol Particle Measurement DOI Creative Commons
Daniel Stoll,

Maximilian Kerner,

Simon Paas

et al.

Applied System Innovation, Journal Year: 2023, Volume and Issue: 6(4), P. 69 - 69

Published: Aug. 8, 2023

The measurement and assessment of indoor air quality in terms respirable particulate constituents is relevant, especially light the COVID-19 pandemic associated infection events. To analyze infectious potential to develop customized hygiene concepts, monitoring anthropogenic aerosol spreading necessary. For measurements usually standard lab equipment used. However, these devices are time-consuming, expensive unwieldy. idea replace this laboratory with low-cost sensors widely used for fine dust (particulate matter—PM). Due low acquisition costs, many can be determine load, even large rooms. Thus, aim work verify capability sensors. purpose, two different models compared established measuring instruments. study was performed artificially prepared NaCl aerosols a well-defined size morphology. In addition, influence relative humidity, which vary significantly indoors, on investigated. heating stage developed tested. results show discrepancy between This difference attributed partially method, as well particle ranges. determined accuracy nevertheless good, considering compactness price

Language: Английский

Citations

3

Real-Time Source Apportionment of Particulate Matter from Low-Cost Particle Sensors Using Machine Learning DOI
Vikas Kumar, Manoranjan Sahu, Basudev Biswal

et al.

Aerosol Science and Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 20, 2024

Language: Английский

Citations

0