Field evaluation of low-cost particulate matter (PM) sensor instruments in indoor and outdoor environments: A university lecture hall and urban southeastern United States

Aerosol Science and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: April 11, 2025

Language: Английский

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Performance and Applicability of Low-Cost PM Sensors to assess Global Pollution Variability through Machine Learning Techniques

Atmospheric Environment X, Journal Year: 2025, Volume and Issue: unknown, P. 100331 - 100331

Published: May 1, 2025

Language: Английский

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Low-Cost Indoor Sensor Deployment for Predicting PM_2.5 Exposure

ACS ES&T Air, Journal Year: 2024, Volume and Issue: 1(8), P. 767 - 779

Published: May 21, 2024

Indoor air quality is critical to human health, as individuals spend an average of 90% their time indoors. However, indoor particulate matter (PM) sensor networks are not deployed often outdoor networks. In this study, PM2.5 exposure investigated via 2 low-cost in Pittsburgh. The concentrations reported by the were fed into a Monte Carlo simulation predict daily for 4 demographics (indoor workers, schoolchildren, and retirees). Additionally, study compares effects different correction factors on from PurpleAir sensors, including both empirical physics-based corrections. results show that mean varied 1.5 μg/m3 or less when similar. When PM lower than outdoor, increasing spent outdoors increased up 3 μg/m3. These differences highlight importance carefully selecting sites deployment value having robust network with placement.

Language: Английский

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Five Years of Accurate PM2.5 Measurements Demonstrate the Value of Low-Cost PurpleAir Monitors in Areas Affected by Woodsmoke

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(23), P. 7127 - 7127

Published: Nov. 30, 2023

Low-cost optical sensors are used in many countries to monitor fine particulate (PM2.5) air pollution, especially cities and towns with large spatial temporal variation due woodsmoke pollution. Previous peer-reviewed research derived calibration equations for PurpleAir (PA) by co-locating PA units at a government regulatory pollution monitoring site Armidale, NSW, Australia, town where is the main source of PM2.5 The calibrations enabled provide accurate estimates that were almost identical those from NSW Government reference equipment allowed high levels wintertime substantial wood heaters be quantified, as well estimated costs premature mortality exceeding $10,000 per heater year. This follow-up study evaluates eight co-located same check their accuracy over following four years, using either original calibrations, default equation on website uncalibrated sensors, or ALT-34 conversion (see text). Minimal drift was observed, year-round correlations, r = 0.98 ± 0.01, root mean square error (RMSE) 2.0 μg/m3 daily average vs. equipment. utitilty without prior locations affected also demonstrated correlations 0.94 low RMSE between (woodsmoke conversions) sites Orange Gunnedah. To ensure reliability data, basic quality checks recommended, including agreement two laser each unit removing any transient spikes affecting only one sensor. In 2019 2022, continuing observed during colder months times higher than discrepancies measurements. Particularly unhealthy noted southern eastern central Armidale. measurements inside older weatherboard houses Armidale showed outdoor resulted within 1-2 h. Daily concentrations available allow different across regions (and countries) compared. Such comparisons revealed major elevations Gunnedah, Orange, Monash (Australian Capital Territory), Christchurch (New Zealand) heating season. data Gunnedah Muswellbrook suggest slight underestimation other year when there proportionately more dust larger particles. A network appropriately calibrated can valuable information identify hotspots, improve population exposure health costs, inform public policy.

Language: Английский

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The value of adding black carbon to community monitoring of particulate matter

Atmospheric Environment, Journal Year: 2024, Volume and Issue: 325, P. 120434 - 120434

Published: March 5, 2024

Low-cost particulate matter (PM) sensors are increasingly used by researchers, public health agencies, and the to measure spatial temporal variations in air pollution, which can inform strategies for community pollution reduction. While low-cost PM provide a valuable of harmful fine (PM2.5), significant portion ambient PM2.5 is typically secondary product emitted varied sources outside boundaries. In contrast, concentrations black carbon (BC), component PM2.5, directly few specific sources, such as diesel engines within communities. Motivated organizations seeking understand persistent local this study deployed suite custom-built BC alongside network four weeks two seasons at 50 stationary locations adjacent cities Richmond, North San Pablo, California, east Francisco Bay. Concentrations more than both temporally spatially. Monthly network-average was 3 × higher winter late spring, while only 10% lower. seasons, average two-thirds sites were ±10% average, whereas had levels concentration. The most least polluted across dynamics these similar, signifying that they impacted same emission sources. Together, spatiotemporal trends show better indicator proximity activity PM2.5. Thus, including addition monitoring networks additional insights about pollution.

Language: Английский

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Measured PM2.5 indoors and outdoors related to smoking prevalence by Zip Code using 14,400 low-cost monitors in California, Washington, and Oregon

Indoor Environments, Journal Year: 2024, Volume and Issue: 1(4), P. 100043 - 100043

Published: Aug. 23, 2024

Language: Английский

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Summary of PM_2.5 measurement artifacts associated with the Teledyne T640 PM Mass Monitor under controlled chamber experimental conditions using polydisperse ammonium sulfate aerosols and biomass smoke

Journal of the Air & Waste Management Association, Journal Year: 2023, Volume and Issue: 73(4), P. 295 - 312

Published: Jan. 30, 2023

Particulate matter (PM) is a major primary pollutant emitted during wildland fires that has the potential to pose significant health risks individuals/communities who live and work in areas impacted by smoke events. Limiting exposure principle measure available mitigate impacts of therefore accurate determination ambient PM concentrations fire events critical protecting public health. However, monitoring air pollutants environments proven challenging measurement interferences or sampling conditions can result both positive negative artifacts. The EPA performed research on methods for

Language: Английский

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PM2.5 Potential Indoor Exposures and Outdoor Concentrations Related to Smoking Prevalence by Zip Code in Three West Coast States

Published: Jan. 18, 2024

Low-cost monitors have made possible for the first time measurements of long-term (months to years) potential indoor exposures fine particles. Indoor and outdoor over nearly 5 years (2017-2021) by largest network low-cost in United States (PurpleAir) are compared prevalence adult smokers 1650 Zip codes within three West Coast states California, Oregon, Washington. The results show that mean above 75th percentile smoking more than 50% higher those below 25th percentile. Mean concentrations also elevated, but a smaller amount (20%). Both comparisons significant at p<0.001 level. elevation PM2.5 with increasing is evidence environmental disparities income, education, other socioeconomic indices..

Language: Английский

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An overview of outdoor low-cost gas-phase air quality sensor deployments: current efforts, trends, and limitations

Published: April 8, 2024

Abstract. We reviewed 60 sensor networks and 15 related efforts (sensor review papers data accessibility projects) to better understand the landscape of stationary low-cost gas-phase deployed in outdoor environments worldwide. This study is not exhaustive every network on globe, but rather exists categorize types by their key characteristics explore general trends. also exposes gaps monitoring date, especially regarding availability measurements compared particulate matter (PM), geographic coverage (the global south, rural areas). ground-based that measure air pollutants into two main subsets based deployment type: quasi-permanent (long-term) campaign (short medium-term) commonplace practices, strengths, weaknesses networks. conclude with a summary cross-network unification quality control efforts. work aims help scientists looking build best practices common pathways, aid end users finding datasets meet needs.

Language: Английский

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Calibration of PurpleAir low-cost particulate matter sensors: model development for air quality under high relative humidity conditions

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(22), P. 6735 - 6749

Published: Nov. 26, 2024

Abstract. The primary source of measurement error from widely used particulate matter (PM) PurpleAir sensors is ambient relative humidity (RH). Recently, the US EPA developed a national correction model for PM2.5 concentrations measured by (Barkjohn model). However, their study included few sites in southeastern US, most humid region country. To provide high-quality spatial and temporal data inform community exposure risks this area, our evaluated models use warm–humid climate zones US. We hourly reference-grade Air Quality System database January 2021 to August 2023. Compared with Barkjohn model, we found improved performance metrics, metrics decreasing 16 %–23 % when applying multilinear regression RH temperature as predictive variables. also tested novel semi-supervised clustering method that nonlinear effect between emerges around 50 %, slightly greater accuracy. Therefore, results suggested approach might be more accurate high conditions capture nonlinearity associated PM particle hygroscopic growth.

Language: Английский

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