<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-20T01:31:24Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/77113" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/77113</identifier><datestamp>2022-01-13T07:54:11Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Steven R.H. Barrett.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Lee, In Hwan, S.M. Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Aeronautics and Astronautics</dim:field>
   <dim:field mdschema="dc" element="coverage" qualifier="spatial" lang="en_US">a------</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2013-02-15T14:39:56Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/77113</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">825070922</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2012.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from department-submitted PDF version of thesis. This electronic version was submitted and approved by the author's academic department as part of an electronic thesis pilot project. The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 66-74).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Aviation in Asia is growing more rapidly than other regions around the world. Adverse health impacts of aviation are linked to an increase in the concentration of particulate matter smaller than 2.5 [mu]m in diameter (PM2.5). This thesis aims to quantify the regional-scale health impacts of aviation in Asia by modeling the air quality in Asia and applying Concentration-Response Functions (CRFs) to the aviation-attributable PM2.5 perturbations. In order to quantify the perturbation to the ambient air quality due to aviation emissions, the Community Multiscale Air Quality (CMAQ) model---a regional-scale chemical transport model--utilized after its performance is evaluated in predicting ambient PM2.5 concentrations. Aviation emissions for 2006 are from the Aviation Environmental Design Tool (AEDT), and background emissions for 2006 are generated using a combination of four Asian and global emissions inventories. A domain average increase of approximately 15ng/m3 in annual PM2.5 is observed due to full flight aviation emissions, while Landing and Takeoff (LTO) cycle emissions account for an increase of approximately 0.75ng/m3. Calculations using two different CRFs used by the EPA and the WHO estimate the following amount of aviation-attributable premature mortalities in Asia: 9400 (using the EPA CRF) or 6400 (using the WHO CRF) in the full flight scenario, and 550 or 390 in the LTO cycle scenario. Finally, comparisons to the global-scale model simulation results show consistent spatial patterns of air quality perturbations, while the regional-scale model estimates approximately 1.4 times the number of mortalities obtained from corresponding global-scale studies.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by In Hwan Lee.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">78 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Aeronautics and Astronautics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">The air quality and health impacts of aviation in Asia</dim:field>
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   	&lt;Title>The air quality and health impacts of aviation in Asia&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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    &lt;Keyword>Aeronautics and Astronautics.&lt;/Keyword>
   	&lt;Abstract>Aviation in Asia is growing more rapidly than other regions around the world. Adverse health impacts of aviation are linked to an increase in the concentration of particulate matter smaller than 2.5 [mu]m in diameter (PM2.5). This thesis aims to quantify the regional-scale health impacts of aviation in Asia by modeling the air quality in Asia and applying Concentration-Response Functions (CRFs) to the aviation-attributable PM2.5 perturbations. In order to quantify the perturbation to the ambient air quality due to aviation emissions, the Community Multiscale Air Quality (CMAQ) model---a regional-scale chemical transport model--utilized after its performance is evaluated in predicting ambient PM2.5 concentrations. Aviation emissions for 2006 are from the Aviation Environmental Design Tool (AEDT), and background emissions for 2006 are generated using a combination of four Asian and global emissions inventories. A domain average increase of approximately 15ng/m3 in annual PM2.5 is observed due to full flight aviation emissions, while Landing and Takeoff (LTO) cycle emissions account for an increase of approximately 0.75ng/m3. Calculations using two different CRFs used by the EPA and the WHO estimate the following amount of aviation-attributable premature mortalities in Asia: 9400 (using the EPA CRF) or 6400 (using the WHO CRF) in the full flight scenario, and 550 or 390 in the LTO cycle scenario. Finally, comparisons to the global-scale model simulation results show consistent spatial patterns of air quality perturbations, while the regional-scale model estimates approximately 1.4 times the number of mortalities obtained from corresponding global-scale studies.&lt;/Abstract>
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