A meta-analysis of selected near-road air pollutants based on concentration decay rates
| Autor: | Fu-lin Chen, Shi V. Liu, Jianping Xue |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Near-road Air pollution medicine.disease_cause Article 03 medical and health sciences 0302 clinical medicine Air pollutants medicine Atmospheric science Traffic lcsh:Social sciences (General) Exponential decay Health risk lcsh:Science (General) NOx Multidisciplinary Distance Near road Concentration decay Vehicle emission Environmental sciences 030104 developmental biology Human exposure Environmental chemistry Environmental science lcsh:H1-99 Meta-data analysis Literature survey 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Heliyon, Vol 5, Iss 8, Pp e02236-(2019) Heliyon |
| ISSN: | 2405-8440 |
| DOI: | 10.1016/j.heliyon.2019.e02236 |
| Popis: | Traffic-related air pollution has been associated with various health risks for human populations living near roadways. Understanding the relationship between traffic density and dispersion of vehicle-released air pollutants is important for assessing human exposure to near-road air pollutants. We performed a literature survey targeting publications containing measurement data of traffic-related air pollutants near roads with distance information on their concentration distribution. Concentration decay rates over down-wind distance away from major roads were calculated for black carbon (BC), carbon monoxide (CO) and nitrogen oxides (NO2 or NOx) and meta-data analysis on these rates was performed. These analyses showed metadata-based exponential decay rates of 0.0026, 0.0019, 0.0004, and 0.0027 m−1 for BC, CO, NO2 and NOx, respectively. Using these measurement data-based decay rates, concentrations for BC, CO, NO2 and NOx over various near-road distances were predicted. These results are useful for enhancing exposure modeling and thus more reliably assessing the health risk of exposure to near road air pollution. |
| Databáze: | OpenAIRE |
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