A novel mobile monitoring approach to characterize spatial and temporal variation in traffic-related air pollutants in an urban community
| Autor: | Chang Ho Yu, Molly Greenberg, Robert Laumbach, Paul J. Lioy, Zhihua Fan, Ana Baptista |
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| Rok vydání: | 2016 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Particle number Air pollution Environmental engineering Humidity Sampling (statistics) 010501 environmental sciences Particulates medicine.disease_cause Atmospheric sciences 01 natural sciences Condensation particle counter Data logger medicine Environmental science Spatial variability 0105 earth and related environmental sciences General Environmental Science |
| Zdroj: | Atmospheric Environment. 141:161-173 |
| ISSN: | 1352-2310 |
| DOI: | 10.1016/j.atmosenv.2016.06.044 |
| Popis: | Air concentrations of traffic-related air pollutants (TRAPs) vary in space and time within urban communities, presenting challenges for estimating human exposure and potential health effects. Conventional stationary monitoring stations/networks cannot effectively capture spatial characteristics. Alternatively, mobile monitoring approaches became popular to measure TRAPs along roadways or roadsides. However, these linear mobile monitoring approaches cannot thoroughly distinguish spatial variability from temporal variations in monitored TRAP concentrations. In this study, we used a novel mobile monitoring approach to simultaneously characterize spatial/temporal variations in roadside concentrations of TRAPs in urban settings. We evaluated the effectiveness of this mobile monitoring approach by performing concurrent measurements along two parallel paths perpendicular to a major roadway and/or along heavily trafficked roads at very narrow scale (one block away each other) within short time period ( |
| Databáze: | OpenAIRE |
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