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A new bottom-up emissions estimation approach for aircraft sources in support of air quality modelling for community-scale assessments around airports
Citation:
Arunachalam, S., B. Naess, C. Seppanen, A. Valencia, J. Brandmeyer, A. Venkatram, J. Weil, V. Isakov, AND T. Barzyk. A new bottom-up emissions estimation approach for aircraft sources in support of air quality modelling for community-scale assessments around airports. INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION. Inderscience Enterprises Limited, Geneva, Switzerland, 65(123):43 - 58, (2019). https://doi.org/10.1504/IJEP.2019.101832
Impact/Purpose:
This paper describes a modeling methodology for characterizing urban-scale air quality impacts of airport operations and shows an illustration of the model application at the Los Angeles International airport. With a growing economy, aircraft activity is expected to grow across the world and in the US, airport-related emissions, while generally small, are not an insignificant source of air pollution, and related adverse health effects. Therefore, it is important to have tools available that can easily be applied to study near-source pollution, and explore the benefits of improvements to air quality and exposures due to voluntary or mandatory programs.
Description:
ransportation infrastructure (including roadway traffic, ports, and airports) is critical to the nation's economy. With a growing economy, aircraft activity is expected to grow across the world. In the US, airport-related emissions, while generally small, are not an insignificant source of air pollution and related adverse health effects. However, currently there is a lack of tools that can easily be applied to study near-source pollution and explore the benefits of improvements to air quality and exposures. Screening-level air quality modelling is a useful tool for examining urban-scale air quality impacts of airport operations. Spatially-resolved aircraft emissions are needed for the screening-level modelling. In order to create spatially-resolved aircraft emissions, we developed a bottom-up emissions estimation methodology that includes data from a global chorded inventory dataset from the aviation environmental design tool (AEDT). The initial implementation of this method was performed for Los Angeles International Airport (LAX). This paper describes a new emissions estimation methodology for aircraft emissions in support of community-scale assessments of air quality around airports and presents an illustration of its application at the Los Angeles International Airport during the LAX 2011/2012 Air Quality Source Apportionment Study.
URLs/Downloads:
DOI: A new bottom-up emissions estimation approach for aircraft sources in support of air quality modelling for community-scale assessments around airports