Particulate air pollution in the Copenhagen metro part 2: Low-cost sensors and micro-environment classification
Environment International(2022)
摘要
•Particulate matter (PM) levels on the CPH metro are measured with low-cost sensors.•Low-costs sensors perform well, due to stable conditions and a primary PM source.•Fine micro-environment classification using sensors and machine learning is tested.•PM concentrations in different micro-environments of the metro are characterised.•Measurements made whilst mobile on undergrounds trains gave the highest PM levels (edited).
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关键词
Personal exposure monitoring,Low-cost sensors,Particulate matter,Metro,Micro-environment,Machine learning
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