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Towards comprehensive air quality management using low-cost sensors for pollution source apportionment

Environmental Studies and Forestry

Towards comprehensive air quality management using low-cost sensors for pollution source apportionment

D. Bousiotis, G. Allison, et al.

This groundbreaking research showcases a cost-effective method for air pollution source apportionment using low-cost sensors and advanced analytic techniques. Conducted by Dimitrios Bousiotis and colleagues from the University of Birmingham, alongside Gordon Allison from DustScan Limited, the study reveals critical insights into pollution sources across various sites, with significant implications for air quality management.

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Playback language: English
Abstract
This paper demonstrates a cost-effective approach to air pollution source apportionment using low-cost sensors, Positive Matrix Factorization (PMF), and k-means clustering. The methods successfully identified and quantified major pollution sources at three sites: a construction site, a quarry, and a roadside location. The analysis considered meteorological conditions and temporal variations, providing crucial information for air quality management at significantly lower costs than traditional methods.
Publisher
npj Climate and Atmospheric Science
Published On
Aug 22, 2023
Authors
Dimitrios Bousiotis, Gordon Allison, David C. S. Beddows, Roy M. Harrison, Francis D. Pope
Tags
air pollution
source apportionment
low-cost sensors
Positive Matrix Factorization
k-means clustering
air quality management
cost-effective methods

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