Literature DB >> 15787764

Health effects caused by primary fine particulate matter (PM2.5) emitted from buses in the Helsinki metropolitan area, Finland.

Marko Tainio1, Jouni T Tuomisto, Otto Hänninen, Päivi Aarnio, Kimmo J Koistinen, Matti J Jantunen, Juha Pekkanen.   

Abstract

Fine particle (PM(2.5)) emissions from traffic have been associated with premature mortality. The current work compares PM(2.5)-induced mortality in alternative public bus transportation strategies as being considered by the Helsinki Metropolitan Area Council, Finland. The current bus fleet and transportation volume is compared to four alternative hypothetical bus fleet strategies for the year 2020: (1) the current bus fleet for 2020 traffic volume, (2) modern diesel buses without particle traps, (3) diesel buses with particle traps, and (4) buses using natural gas engines. The average population PM(2.5) exposure level attributable to the bus emissions was determined for the 1996-1997 situation using PM(2.5) exposure measurements including elemental composition from the EXPOLIS-Helsinki study and similar element-based source apportionment of ambient PM(2.5) concentrations observed in the ULTRA study. Average population exposure to particles originating from the bus traffic in the year 2020 is assumed to be proportional to the bus emissions in each strategy. Associated mortality was calculated using dose-response relationships from two large cohort studies on PM(2.5) mortality from the United States. Estimated number of deaths per year (90% confidence intervals in parenthesis) associated with primary PM(2.5) emissions from buses in Helsinki Metropolitan Area in 2020 were 18 (0-55), 9 (0-27), 4 (0-14), and 3 (0-8) for the strategies 1-4, respectively. The relative differences in the associated mortalities for the alternative strategies are substantial, but the number of deaths in the lowest alternative, the gas buses, is only marginally lower than what would be achieved by diesel engines equipped with particle trap technology. The dose-response relationship and the emission factors were identified as the main sources of uncertainty in the model.

Mesh:

Substances:

Year:  2005        PMID: 15787764     DOI: 10.1111/j.0272-4332.2005.00574.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  10 in total

1.  Overview of particulate exposures in the US trucking industry.

Authors:  Thomas J Smith; Mary E Davis; Paul Reaser; Jonathan Natkin; Jaime E Hart; Francine Laden; Allan Heff; Eric Garshick
Journal:  J Environ Monit       Date:  2006-06-01

2.  Plasma fluorescent oxidation products and short-term occupational particulate exposures.

Authors:  Jaime E Hart; Tianying Wu; Francine Laden; Eric Garshick
Journal:  Am J Ind Med       Date:  2012-05-22       Impact factor: 2.214

3.  Occupational vehicle-related particulate exposure and inflammatory markers in trucking industry workers.

Authors:  Yueh-Hsiu Mathilda Chiu; Eric Garshick; Jaime E Hart; Donna Spiegelman; Douglas W Dockery; Thomas J Smith; Francine Laden
Journal:  Environ Res       Date:  2016-04-19       Impact factor: 6.498

4.  Short-term traffic related exposures and biomarkers of nitro-PAH exposure and oxidative DNA damage.

Authors:  Andreas M Neophytou; Jaime E Hart; Yan Chang; Junfeng Jim Zhang; Thomas J Smith; Eric Garshick; Francine Laden
Journal:  Toxics       Date:  2014-09

5.  An economic way of reducing health, environmental, and other pressures of urban traffic: a decision analysis on trip aggregation.

Authors:  Jouni T Tuomisto; Marko Tainio
Journal:  BMC Public Health       Date:  2005-11-25       Impact factor: 3.295

6.  Traffic-related exposures and biomarkers of systemic inflammation, endothelial activation and oxidative stress: a panel study in the US trucking industry.

Authors:  Andreas M Neophytou; Jaime E Hart; Jennifer M Cavallari; Thomas J Smith; Douglas W Dockery; Brent A Coull; Eric Garshick; Francine Laden
Journal:  Environ Health       Date:  2013-12-07       Impact factor: 5.984

7.  Gene expression network analyses in response to air pollution exposures in the trucking industry.

Authors:  Jen-Hwa Chu; Jaime E Hart; Divya Chhabra; Eric Garshick; Benjamin A Raby; Francine Laden
Journal:  Environ Health       Date:  2016-11-03       Impact factor: 5.984

8.  Health impact assessment of particulate pollution in Tallinn using fine spatial resolution and modeling techniques.

Authors:  Hans Orru; Erik Teinemaa; Taavi Lai; Tanel Tamm; Marko Kaasik; Veljo Kimmel; Kati Kangur; Eda Merisalu; Bertil Forsberg
Journal:  Environ Health       Date:  2009-03-03       Impact factor: 5.984

9.  Symptoms and medication use in children with asthma and traffic-related sources of fine particle pollution.

Authors:  Janneane F Gent; Petros Koutrakis; Kathleen Belanger; Elizabeth Triche; Theodore R Holford; Michael B Bracken; Brian P Leaderer
Journal:  Environ Health Perspect       Date:  2009-03-31       Impact factor: 9.031

10.  Parameter and model uncertainty in a life-table model for fine particles (PM2.5): a statistical modeling study.

Authors:  Marko Tainio; Jouni T Tuomisto; Otto Hänninen; Juhani Ruuskanen; Matti J Jantunen; Juha Pekkanen
Journal:  Environ Health       Date:  2007-08-23       Impact factor: 5.984

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.