Developing a Low-Cost Passive Method for Long-Term Average Levels of Light-Absorbing Carbon Air Pollution in Polluted Indoor Environments
Autor: | P. Baylon, Timothy Gould, Michael Baum, Lara P. Clark, Julian D. Marshall, Edmund Seto, Chris D Space, Timothy V. Larson, Bujin Bekbulat, V. Sreekanth, Songlin Yang |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Passive Method
010504 meteorology & atmospheric sciences exposure assessment Air pollution household air pollution Environmental pollution 010501 environmental sciences medicine.disease_cause black carbon lcsh:Chemical technology 01 natural sciences Biochemistry complex mixtures Article Analytical Chemistry Indoor air quality community monitoring medicine lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation passive sampling 0105 earth and related environmental sciences Exposure assessment Smoke Reproducibility Kerosene Environmental engineering Atomic and Molecular Physics and Optics fine particulate matter low-cost measurements brown carbon Environmental science time-integrated average indoor air quality |
Zdroj: | Sensors, Vol 20, Iss 3417, p 3417 (2020) Sensors Volume 20 Issue 12 Sensors (Basel, Switzerland) |
ISSN: | 1424-8220 |
Popis: | 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&ndash 3 months) monitoring in households that use solid fuels. The results here suggest high precision further testing involving &ldquo gold standard&rdquo measurements is needed to investigate accuracy. |
Databáze: | OpenAIRE |
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