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How to Get the Best from Low-Cost Particulate Matter Sensors: Guidelines and Practical Recommendations
Open AccessArticle

Developing a Low-Cost Passive Method for Long-Term Average Levels of Light-Absorbing Carbon Air Pollution in Polluted Indoor Environments

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Department of Civil & Environmental Engineering, University of Washington, Seattle, WA 98195, USA
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Center for Study of Science, Technology & Policy, Bengaluru 560094, India
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Axon Engineering LLC, Bellevue, WA 98006, USA
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Astronaut Center of China, Beijing 100094, China
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Department of Atmospheric Sciences, University of Washington, Seattle, WA 98195, USA
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Department of Environmental & Occupational Health Sciences, University of Washington, Seattle, WA 98195, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(12), 3417; https://doi.org/10.3390/s20123417
Received: 30 April 2020 / Revised: 11 June 2020 / Accepted: 13 June 2020 / Published: 17 June 2020
(This article belongs to the Special Issue Sensors for Particulate Matter and Air Pollution)
We propose a low-cost passive method for monitoring long-term average levels of light-absorbing carbon air pollution in polluted indoor environments. Building on prior work, the method here estimates the change in reflectance of a passively exposed surface through analysis of digital images. To determine reproducibility and limits of detection, we tested low-cost passive samplers with exposure to kerosene smoke in the laboratory and to environmental pollution in 20 indoor locations. Preliminary results suggest robust reproducibility (r = 0.99) and limits of detection appropriate for longer-term (~1–3 months) monitoring in households that use solid fuels. The results here suggest high precision; further testing involving “gold standard” measurements is needed to investigate accuracy. View Full-Text
Keywords: household air pollution; indoor air quality; low-cost measurements; time-integrated average; exposure assessment; community monitoring; passive sampling; black carbon; brown carbon; fine particulate matter household air pollution; indoor air quality; low-cost measurements; time-integrated average; exposure assessment; community monitoring; passive sampling; black carbon; brown carbon; fine particulate matter
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Clark, L.P.; Sreekanth, V.; Bekbulat, B.; Baum, M.; Yang, S.; Baylon, P.; Gould, T.R.; Larson, T.V.; Seto, E.Y.W.; Space, C.D.; Marshall, J.D. Developing a Low-Cost Passive Method for Long-Term Average Levels of Light-Absorbing Carbon Air Pollution in Polluted Indoor Environments. Sensors 2020, 20, 3417.

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