Literature DB >> 21823049

Study of the PM₁₀ concentration variations along two intra-urban roads within a compact city.

Chi Kwan Chau1, Lillan Shuk Ching Pun-Cheng, Wai Yin Ng, Wai Kwan Hui.   

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 PM(10) concentrations along intra-urban roads in terms of parameters like nearby central monitoring data, traffic counts and meteorological conditions with an objective to analyze the PM(10) concentration 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 PM(10) concentration distribution profiles within a compact city environment are not always uniform and are dependent on the road configuration. Considerable PM(10) concentration 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.

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Year:  2011        PMID: 21823049     DOI: 10.1007/s10661-011-2235-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  24 in total

1.  Estimation of long-term average exposure to outdoor air pollution for a cohort study on mortality.

Authors:  G Hoek; P Fischer; P Van Den Brandt; S Goldbohm; B Brunekreef
Journal:  J Expo Anal Environ Epidemiol       Date:  2001 Nov-Dec

2.  Spatial variability of PM2.5 in urban areas in the United States.

Authors:  Joseph P Pinto; Allen S Lefohn; Douglas S Shadwick
Journal:  J Air Waste Manag Assoc       Date:  2004-04       Impact factor: 2.235

3.  Can we use fixed ambient air monitors to estimate population long-term exposure to air pollutants? The case of spatial variability in the Genotox ER study.

Authors:  Eléna Nerriere; Denis Zmirou-Navier; Olivier Blanchard; Isabelle Momas; Joël Ladner; Yvon Le Moullec; Marie-Blanche Personnaz; Philippe Lameloise; Véronique Delmas; Alain Target; Hélène Desqueyroux
Journal:  Environ Res       Date:  2005-01       Impact factor: 6.498

4.  Application of land use regression to estimate long-term concentrations of traffic-related nitrogen oxides and fine particulate matter.

Authors:  Sarah B Henderson; Bernardo Beckerman; Michael Jerrett; Michael Brauer
Journal:  Environ Sci Technol       Date:  2007-04-01       Impact factor: 9.028

5.  Seasonal variation of air pollution index: Hong Kong case study.

Authors:  Xie-Kang Wang; Wei-Zhen Lu
Journal:  Chemosphere       Date:  2005-12-01       Impact factor: 7.086

6.  Measurements of particles in the 5-1000 nm range close to road level in an urban street canyon.

Authors:  Prashant Kumar; Paul Fennell; Rex Britter
Journal:  Sci Total Environ       Date:  2007-11-13       Impact factor: 7.963

Review 7.  A review of land-use regression models for characterizing intraurban air pollution exposure.

Authors:  Patrick H Ryan; Grace K LeMasters
Journal:  Inhal Toxicol       Date:  2007       Impact factor: 2.724

8.  Weak correlation of ultrafine aerosol particle concentrations <800 nm between two sites within one city.

Authors:  Thomas M Tuch; Olf Herbarth; Ulrich Franck; Annette Peters; Birgit Wehner; Alfred Wiedensohler; Jost Heintzenberg
Journal:  J Expo Sci Environ Epidemiol       Date:  2006-01-25       Impact factor: 5.563

9.  Spatial and temporal variation of particle number concentration in Augsburg, Germany.

Authors:  Josef Cyrys; Mike Pitz; Joachim Heinrich; H-Erich Wichmann; Annette Peters
Journal:  Sci Total Environ       Date:  2008-05-29       Impact factor: 7.963

10.  The design of long-term air quality monitoring networks in urban areas using a spatiotemporal approach.

Authors:  Farhad Nejadkoorki; Ken Nicholson; Kamal Hadad
Journal:  Environ Monit Assess       Date:  2010-02-06       Impact factor: 2.513

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