Derivation of a First Order Approximation of Particulate Matter from Aircraft

Wayson, Roger L.; Fleming, Gregg G.; Kim, Brian; Draper, Julie A.

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Derivation of a First Order Approximation of Particulate Matter from Aircraft

2003-06-22
By Wayson, Roger L. ; Fleming, Gregg G. ; Kim, Brian

File Language:

English

Details

Alternative Title:

96th Annual Conference and Exhibition of the Air and Waste Management Association
Creators:

Wayson, Roger L. ; Fleming, Gregg G. ; Kim, Brian ; Draper, Julie A.
Corporate Creators:

University of Central Florida. Department of Civil and Environmental Engineering ; United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy
Subject/TRT Terms:
Publication/ Report Number:

Paper # 69970
Resource Type:

Proceedings
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Aviation Administration
Abstract:

The mass of particulate matter (PM) emitted from aircraft must be predicted for major actions at airports to comply with current federal regulations. However, this PM mass in the jet exhaust has not been effectively quantified to permit accurate emission factors to be developed. Certification methodologies are based on the Smoke Number (SN), which was essentially implemented to eliminate the visible exhaust of aircraft but does not provide needed mass emission factors. A literature review was conducted for the FAA and based on available data and findings developed a first order approximation (FOA) method. This derived methodology had to have the flexibility to permit differences in fleet mix, aircraft modes (throttle settings), and airport altitudes to be considered. The accuracy of each possible method and the availability of data also were heavily weighed when considering this approximation method. The development of this methodology and preliminary evaluation is presented in this paper.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/9918/dot_9918_DS1.pdf
File Type:

[PDF - 50.61 KB]
Collection(s):

Volpe Center
Main Document Checksum:

urn:sha-512:381875cfe063453f189ae210602cfef3430b09d518be40fa1d404b701f8723f8b2ca835f93cfa094023d0278b9335770edbf81fc268a1648618274a11264fdd7

File Language:

English

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