Future trends in local air quality impacts of aviation

The International Civil Aviation Organization is considering the use of cost-benefit analyses to estimate interdependencies between the industry costs and the major environmental impacts in policy-making for aviation. To contribute to addressing the needs of the international policy-making community, we propose a reduced-order model to estimate the health impacts of aviation-related air pollution. The model follows an impact pathway approach based on a review of the best practices for air quality policy-making in Europe and the United States. This model is used to develop the Air Quality Module within the Benefits Valuation Block of the Aviation Environmental Portfolio Management Tool. The air quality modeling relies on the intake fraction concept to relate airport-by-airport emissions of particulate matter and particulate matter precursors to the nationwide population exposure to ambient PM2.5. The current modeling capabilities focus on the analysis of the health impacts of aviation in the United States to determine high-priority pollutants and to prioritize model improvements. We show that the health impacts from non-PM pollutants such as ozone are small (4% to 8% of the total aviation-related health impacts).

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2007

Author dc:creator

• Rojo, Julien Joseph

Advisor dc:contributor.advisor

• Ian A. Waitz.

• Aeronautics and Astronautics.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/39707

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/39707