Low-cost sensors as an alternative for long-term air quality monitoring
Autor: | Lidia Morawska, Bryce Christensen, John Kirkwood, Jian Gao, Sicong Zhu, Rohan Jayaratne, Tara Kuhn, Xiaoting Liu, Ruby Kan, Phong K. Thai, David Wainwright, Riki Lamont, Donald Neale, Isak Zing, Matthew Dunbabin |
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Rok vydání: | 2019 |
Předmět: |
Pollution
Air Pollutants China media_common.quotation_subject Australia 010501 environmental sciences 01 natural sciences Biochemistry Term (time) Air quality monitoring 03 medical and health sciences 0302 clinical medicine 13. Climate action Air Pollution Beijing Environmental science Relative humidity Particulate Matter 030212 general & internal medicine Air quality index 0105 earth and related environmental sciences General Environmental Science Remote sensing media_common Environmental Monitoring |
Zdroj: | BASE-Bielefeld Academic Search Engine |
ISSN: | 1096-0953 |
Popis: | Low-cost air quality sensors are increasingly being used in many applications; however, many of their performance characteristics have not been adequately investigated. This study was conducted over a period of 13 months using low-cost air quality monitors, each comprising two low-cost sensors, which were subjected to a wide range of pollution sources and concentrations, relative humidity and temperature at four locations in Australia and China. The aim of the study was to establish the performance characteristics of the two low-cost sensors (a Plantower PMS1003 for PM2.5 and an Alphasense CO–B4 for carbon monoxide, CO) and the KOALA monitor as a whole under various conditions. Parameters evaluated included the inter-variability between individual monitors, the accuracy of monitors in comparison with the reference instruments, the effect of temperature and RH on the performance of the monitors, the responses of the PM2.5 sensors to different types of aerosols, and the long-term stability of the PM2.5 and CO sensors. The monitors showed high inter-correlations (r > 0.91) for both PM2.5 and CO measurements. The monitor performance varied with location, with moderate to good correlations with reference instruments for PM2.5 (0.44 |
Databáze: | OpenAIRE |
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