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Assessment of PM 2.5 Exposure during Cycle Trips in The Netherlands Using Low-Cost Sensors
Air pollution, especially fine particulate matter (PM ), is a major environmental risk factor for human health in Europe. Monitoring of air quality takes place using expensive reference stations. Low-cost sensors are a promising addition to this official monitoring network as they add spatial and te...
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Published in: | International journal of environmental research and public health 2021-06, Vol.18 (11) |
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Main Authors: | , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Air pollution, especially fine particulate matter (PM
), is a major environmental risk factor for human health in Europe. Monitoring of air quality takes place using expensive reference stations. Low-cost sensors are a promising addition to this official monitoring network as they add spatial and temporal resolution at low cost. Moreover, low-cost sensors might allow for better characterization of personal exposure to PM
. In this study, we use 500 dust (PM
) sensors mounted on bicycles to estimate typical PM
levels to which cyclists are exposed in the province of Utrecht, the Netherlands, in the year 2020. We use co-located sensors at reference stations to calibrate and validate the mobile sensor data. We estimate that the average exposure to traffic related PM
.
on top of background concentrations, is approximately 2 μg/m
. Our results suggest that cyclists close to major roads have a small, but consistently higher exposure to PM
compared to routes with less traffic. The results allow for a detailed spatial representation of PM
concentrations and show that choosing a different cycle route might lead to a lower exposure to PM
. Finally, we conclude that the use of mobile, low-cost sensors is a promising method to estimate exposure to air pollution. |
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ISSN: | 1660-4601 |
DOI: | 10.3390/ijerph18116007 |