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Characterizing the particle variations and human exposure in port and urban areas

  • Hong Mei Zhao
  • , Hong Di He
  • , Ji Qiang Zhao
  • , Yi Ding
  • , Zhong Ren Peng
  • , Hong Wei Wang
  • Shanghai Maritime University
  • Shanghai Jiao Tong University
  • University of Florida

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In port areas, traffic is characterized by container trucks which run on diesel, while in urban areas it is characterized by private cars which run on petrol. The different fuels as pollution sources cause distinct particle pollution. This study offers an indepth investigation of particle pollution and corresponding short-term exposures in port and urban areas. Field measurements were carried out to collect the data including particulate matter and traffic volume. Based on the data, firstly, the Pearson correlation analysis was performed to analyze the relationships between traffic volume and particles. Secondly, the Anderson–Darling test was adopted to identify the ‘‘best-fit’’ distributions on particles. Thirdly, comparisons of particle pollution levels in port and urban areas were analyzed. Finally, the pedestrian respiratory deposition doses of particles were estimated. The results indicate the importance and urgency of reducing air pollution, especially for port cities, and provide policymakers with a foundation for possible measures in the port city.

Original languageEnglish
Pages (from-to)669-684
Number of pages16
JournalTransportation Research Record
Volume2675
Issue number11
DOIs
StatePublished - 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

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