Study of the PM10concentration variations along two intra-urban roads within a compact city

Chi Kwan Chau, Shuk Ching Lilian Cheng, Wai Yin Ng, Wai Kwan Hui

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Eighty-five measurement campaigns were performed repeatedly to compare the concentration variation profiles along two intra-urban roads-one with open configuration and the other with street canyon effect. Fixed-effects panel data analysis was applied for formulating a model to express the PM10concentrations along intra-urban roads in terms of parameters like nearby central monitoring data, traffic counts and meteorological conditions with an objective to analyze the PM10concentration variation patterns along the two roads. Our findings reveal that traffic intensity and metrological conditions exert influence on concentration variation for both types of road configurations while wind velocity only affect the pollutants removal effectiveness of open road configuration. Further analysis unveils that the PM10concentration distribution profiles within a compact city environment are not always uniform and are dependent on the road configuration. Considerable PM10concentration differences were observed along the street canyon, and 70% of their variations are attributed to variations in their road aspect ratios. By contrast, no significant concentration difference is observed at open road configurations. 2011.
Original languageEnglish
Pages (from-to)3943-3958
Number of pages16
JournalEnvironmental Monitoring and Assessment
Volume184
Issue number6
DOIs
Publication statusPublished - 1 Jun 2012

Keywords

  • Air pollution
  • Intra-urban roads
  • Particulates
  • PM 10
  • Regression models

ASJC Scopus subject areas

  • General Environmental Science
  • Management, Monitoring, Policy and Law
  • Pollution

Fingerprint

Dive into the research topics of 'Study of the PM10concentration variations along two intra-urban roads within a compact city'. Together they form a unique fingerprint.

Cite this