Characterizing the variation of particles in varied sizes from a container truck in a port area
| العنوان: | Characterizing the variation of particles in varied sizes from a container truck in a port area |
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| المؤلفون: | Wei-Zhen Lu, Hong-di He, Hong-mei Zhao, Yang-yang Hao |
| المصدر: | Environmental Monitoring and Assessment. 192 |
| بيانات النشر: | Springer Science and Business Media LLC, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Truck, 010504 meteorology & atmospheric sciences, Particle number, Air pollution, 010501 environmental sciences, Management, Monitoring, Policy and Law, medicine.disease_cause, Container (type theory), 01 natural sciences, Air Pollution, Statistics, medicine, Cities, Vehicle Emissions, 0105 earth and related environmental sciences, General Environmental Science, Morning, Air Pollutants, General Medicine, Traffic flow, Pollution, Motor Vehicles, Log-normal distribution, Environmental science, Particle, Particulate Matter, Environmental Monitoring |
| الوصف: | The transportation of container trucks in urban areas not only frequently causes traffic jams but also produces severe air pollution. With regard to this consideration, measurements of particle concentrations and traffic volume on different polluted days were carried out to discover the varied characteristics of particles from container truck transportation in the port area. Based on the original data, descriptive statistics were performed firstly to reveal the statistical characteristics of particle number concentrations (PNC). The Kolmogorov-Smirnov test as well as the Anderson-Darling test was adopted to identify the "best-fit" distributions on PNC data while the corresponding maximum likelihood estimation was conducted to estimate the parameters of the identified distribution. Additionally, the Pearson correlation analysis and principal component analysis were performed respectively to reveal the relationships between traffic volume and PNC. The results showed that on a hazy day, PNC levels in the morning were generally higher than those in the afternoon, while on a non-hazy day, the results were opposite. Particles in all sizes on a non-hazy day and larger than 0.5 μm on a hazy day were verified to fit the lognormal distribution. In contrast to the particles below 2 μm, the particles above 2 μm exhibited higher correlations with the traffic flow of a container truck in the morning on a hazy day. These results indicate the importance of reducing air pollution from a container truck and provide policymakers with a foundation for possible measures in a port city. |
| تدمد: | 1573-2959 0167-6369 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ca21432225d2b469942894bd4f306e1Test https://doi.org/10.1007/s10661-020-08752-xTest |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....5ca21432225d2b469942894bd4f306e1 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15732959 01676369 |
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