A comprehensive review on advancements in sensors for air pollution applications

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175696 - 175696

Published: Aug. 26, 2024

Language: Английский

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Indoor air quality monitoring and source apportionment using low-cost sensors

Environmental Research Communications, Journal Year: 2024, Volume and Issue: 6(1), P. 012001 - 012001

Published: Jan. 1, 2024

Abstract Understanding of the various sources indoor air pollution requires quality (IAQ) data that is usually lacking. Such can be obtained using unobtrusive, low-cost sensors (LCS). The aim this review to examine recent literature published on LCS for IAQ measurements and determine whether these studies employed any methods identify or quantify pollution. Studies were reviewed in terms source apportionment employed, as well microenvironment type, geographical location, several metrics relating contribution outdoor pollutant ingress versus potential sources. We found out 60 relevant studies, just four apportionment, all which utilised receptor models. Most undertaken residential educational environments. There a lack other types microenvironments locations outside Europe North America. are inherent limitations with producing This applies external data, however even more challenging measure due its characteristics. environment heterogeneous, significant variability within space between different locations. Sensor placement, occupancy, activity reports, locations, contribute understanding variability. Outdoor pollutants into via building envelope, measurement environmental conditions, recording details fabric ventilation help apportion contributions. Whether not models from LCS, there parameters which, if carefully considered during campaigns, aid identification pollutants.

Language: Английский

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A Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Deployment of large numbers low capital cost sensors to increase the spatial density air quality measurements enables applications that build on mapping at neighborhood scales. Effective deployment requires not only costs for observations but also a simultaneous reduction in labor costs. The Berkeley Environmental Air Quality and CO2 Network (BEACO2N) is sensor network measuring O3, CO, NO, NO2, particulate matter (PM2.5), dozens locations cities where it deployed. Here, we describe situ field calibration BEACO2N NO2 sensors. This method identifies leverages uniform periods concentrations across calibration. achieves high accuracy biases with respect temperature, humidity, concentration, coefficients determination root mean square errors 0.88 3.70 ppb 0.66 3.16 0.79 1.58 NO. Performance CO 0.90 33.3 site colocated reference measurements. crucial step toward lowering operational delivering accurate dense networks employing inexpensive

Language: Английский

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Citizen-operated mobile low-cost sensors for urban PM2.5 monitoring: field calibration, uncertainty estimation, and application

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 95, P. 104607 - 104607

Published: April 23, 2023

Research communities, engagement campaigns, and administrative agents are increasingly valuing low-cost air-quality monitoring technologies, despite data quality concerns. Mobile sensors have already been used for delivering a spatial representation of pollutant concentrations, though less attention is given to their uncertainty quantification. Here, we perform static/on-bike inter-comparison tests assess the performance Snifferbike sensor kit in measuring outdoor PM2.5 (Particulate Matter < 2.5 μm). We build network citizen-operated Kristiansand, Norway, calibrate measurements using Machine Learning techniques estimate concentrations along city roads. also propose method minimum number required per road segment assure representativeness. The co-location three kits (Sensirion SPS30) at station showed RMSD 7.55 μg m−3. approximate that one km h−1 increase speed bikes will add 0.03 - 0.04 m−3 Standard Deviation measurements. least 27 (50 m here) if sufficiently dispersed over time. recommend calibrating mobile when they coincide with reference stations.

Language: Английский

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A novel in-situ sensor calibration method for building thermal systems based on virtual samples and autoencoder

Energy, Journal Year: 2024, Volume and Issue: 297, P. 131314 - 131314

Published: April 15, 2024

Language: Английский

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Big mobility data reveals hyperlocal air pollution exposure disparities in the Bronx, New York

Nature Cities, Journal Year: 2024, Volume and Issue: 1(8), P. 512 - 521

Published: July 29, 2024

Language: Английский

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Challenges and opportunities of low-cost sensors in capturing the impacts of construction activities on neighborhood air quality

Building and Environment, Journal Year: 2024, Volume and Issue: 254, P. 111363 - 111363

Published: March 11, 2024

In large metropolitan areas such as Toronto, planners are increasingly relying on urban densification to accommodate population growth sustainably. While infill developments support the city's long-term climate goals, on-going construction impacts air quality for local communities. Understanding how neighborhoods impacted by these localized sources can be achieved implementing a network of low-cost sensors. this study, we placed twelve sensors balconies in Toronto neighborhood various projects. The study aims capture impact and heavy-duty traffic provide better understanding spatial variability fine particulate matter (PM2.5). locations were compared using time series analysis, inverse distance weighing (IDW) heterogeneity, spectral analysis quantify contribution sources. Sensors exhibited inter-sensor variability, which was corrected upon calibration. located near far from sites showed similar temporal trends, however measured greater PM2.5 concentrations, where hourly average concentration ranged between 6.8 8.5 μg/m3 further away 5.4 6.2 μg/m3. Spatial also captured IDW more heterogenous concentrations. Spectral demonstrated that contributed up 23% levels while distant had maximum 11% contribution. By sensors, explore create hot spots within neighborhood.

Language: Английский

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Route selection for real-time air quality monitoring to maximize spatiotemporal coverage

Journal of Transport Geography, Journal Year: 2024, Volume and Issue: 115, P. 103812 - 103812

Published: Jan. 30, 2024

Language: Английский

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Data Insights for Sustainable Cities: Associations between Google Street View-Derived Urban Greenspace and Google Air View-Derived Pollution Levels

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(48), P. 19637 - 19648

Published: Nov. 16, 2023

Unprecedented levels of urbanization have escalated urban environmental health issues, including increased air pollution in cities globally. Strategies for mitigating pollution, green planning, are essential sustainable and healthy cities. State-of-the-art research investigating greenspace metrics has accelerated through the use vast digital data sets new analytical tools. In this study, we examined associations between Google Street View-derived Air quality, where both been resolved extremely high resolution, accuracy, scale along entire road network Dublin City. Particulate matter size fraction less than 2.5 μm (PM2.5), nitrogen dioxide, nitric oxide, carbon monoxide, dioxide were quantified using 5,030,143 View measurements, was 403,409 images. Significant (p < 0.001) negative observed. For example, an interquartile range increase Green Index associated with a 7.4% [95% confidence interval: −13.1%, −1.3%] decrease NO2 at point location spatial resolution. We provide insights into how large-scale can be harnessed to elucidate interactions that will important planning policy implications future

Language: Английский

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Can commercial Doppler lidars serve air quality applications? Results from a field comparison with PM ₁₀ , PM _2.5 , and granulometric observations in a multi-influenced harbor city

Aerosol Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Nov. 25, 2024

More than a thousand Doppler lidars are already deployed in the world for wind energy or airport safety applications. Although such instruments optimized measurements, if they could also be qualified aerosol observations, would provide cheap and immediately accessible large database, which open perspectives pollutant dispersion studies. A scanning lidar was 8 months Dunkerque, 200,000 inhabitants harbor city northern France. The performed horizontal scans to acquire collocated observations with ground-level in-situ concentrations of PM10 PM2.5 (β-absorption monitor) particle size distributions (optical counter, OPC). signal from commercial cannot inverted into optical properties, so intensity directly compared concentrations. There no overall correlation between mass (r2 = 0.041 0.182 PM2.5), but better results were obtained number concentration 0.7 µm diameter channel OPC 0.519) cumulated volume over all channels below 2 cutoff 0.433). coefficient exceeded 0.8 during several periods lasting up 5–6 days, even varying meteorological conditions. However, coupling network sensors appears more promising, as it not possible determine global conversion factor turn concentration.

Language: Английский

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