MozartV1, PascalFrancis, Corpus, bibRecord, 000102

Impacts of long-range transport of global pollutants and precursor gases on U.S. air quality under future climatic conditions

Identifieur interne : 000102 ( PascalFrancis/Corpus ); précédent : 000101; suivant : 000103

Impacts of long-range transport of global pollutants and precursor gases on U.S. air quality under future climatic conditions

Auteurs : Ho-Chun Huang ; JINTAI LIN ; ZHINING TAO ; Hyun Choi ; Kenneth Patten ; Kenneth Kunkel ; MIN XU ; JINHONG ZHU ; Xin-Zhong Liang ; Allen Williams ; Michael Caughey ; Donald J. Wuebbles ; JULIAN WANG

Source :

Journal of geophysical research [ 0148-0227 ] ; 2008.

RBID : Pascal:08-0526809

Descripteurs français

Pascal (Inist)
- Transport grande distance, Monde, Polluant, Phénomène précurseur, Précurseur, Gaz, Qualité air, Condition climatique, Condition aux limites, Echelon régional, Modélisation, Modèle, Forçage, Ozone, Traceur chimique, Simulation, Projet, Climat, Analyse sensibilité, Rapport mélange, Moyenne journalière, Echantillon référence, Etats Unis, Etats Unis Centre Ouest, Texas, Californie.

English descriptors

KwdEn :
- Air quality, California, Climatic condition, Forcing, Long-range transport, Midwest, Mixing ratio, Modeling, Precursor, Regional scope, Texas, United States, boundary conditions, chemical tracers, climate, daily average, gases, global, models, ozone, pollutants, precursors, projects, sensitivity analysis, simulation, standard samples.

Abstract

[1] The U.S. air quality is impacted by emissions both within and outside the United States. The latter impact is manifested as long-range transport (LRT) of pollutants across the U.S. borders, which can be simulated by lateral boundary conditions (LBC) into a regional modeling system. This system consists of a regional air quality model (RAQM) that integrates local-regional source emissions and chemical processes with remote forcing from the LBC predicted by a nesting global chemical transport model (model for ozone and related chemical tracers (MOZART)). The present-day simulations revealed important LRT effects, varying among the five major regions with ozone problems, i.e., northeast United States, midwest United States, Texas, California, and southeast United States. To determine the responses of the LRT impacts to projected global climate and emissions changes, the MOZART and RAQM simulations were repeated for future periods (2048-2052 and 2095-2099) under two emissions scenarios (IPCC AlFi and Bl). The future U.S. air quality projected by the MOZART is less sensitive to the emissions scenarios than that simulated by the RAQM with or without incorporating the LRT effects via the LBC from the MOZART. The result of RAQM with the LRT effects showed that the southeast United States has the largest sensitivity of surface ozone mixing ratio to the emissions changes in the 2095-2099 climate (-24% to +25%) followed by the northeast and midwest United States. The net increase due to the LRT effects in 2095-2099 ranges from +4% to +13% in daily mean surface ozone mixing ratio and +4% to +11% in mean daily maximum 8-h average ozone mixing ratios. Correspondingly, the LRT effects in 2095-2099 cause total column 0₃ mixing ratio increases, ranging from +7% to +16%, and also 2 to 3 more days with the surface ozone exceeding the national standard. The results indicate that future U.S. air quality changes will be substantially affected by global emissions.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	PASCAL 08-0526809 INIST
ET :	Impacts of long-range transport of global pollutants and precursor gases on U.S. air quality under future climatic conditions
AU :	HUANG (Ho-Chun); JINTAI LIN; ZHINING TAO; CHOI (Hyun); PATTEN (Kenneth); KUNKEL (Kenneth); MIN XU; JINHONG ZHU; LIANG (Xin-Zhong); WILLIAMS (Allen); CAUGHEY (Michael); WUEBBLES (Donald J.); JULIAN WANG
AF :	Illinois State Water Survey/Champaign, Illinois/Etats-Unis (1 aut., 3 aut., 4 aut., 6 aut., 7 aut., 8 aut., 9 aut., 10 aut., 11 aut.); Now at Science Applications International Corporation/Camp Springs, Maryland/Etats-Unis (1 aut.); Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign/Urbana, Illinois/Etats-Unis (2 aut., 5 aut., 12 aut.); Now at School of Engineering and Applied Sciences, Harvard University/Cambridge, Massachusetts/Etats-Unis (2 aut.); Air Resource Laboratory, National Oceanic and Atmospheric Administration/Silver Spring, Maryland/Etats-Unis (13 aut.)
DT :	Publication en série; Niveau analytique
SO :	Journal of geophysical research; ISSN 0148-0227; Etats-Unis; Da. 2008; Vol. 113; No. D19; D19307.1-D19307.15; Bibl. 3/4 p.
LA :	Anglais
EA :	[1] The U.S. air quality is impacted by emissions both within and outside the United States. The latter impact is manifested as long-range transport (LRT) of pollutants across the U.S. borders, which can be simulated by lateral boundary conditions (LBC) into a regional modeling system. This system consists of a regional air quality model (RAQM) that integrates local-regional source emissions and chemical processes with remote forcing from the LBC predicted by a nesting global chemical transport model (model for ozone and related chemical tracers (MOZART)). The present-day simulations revealed important LRT effects, varying among the five major regions with ozone problems, i.e., northeast United States, midwest United States, Texas, California, and southeast United States. To determine the responses of the LRT impacts to projected global climate and emissions changes, the MOZART and RAQM simulations were repeated for future periods (2048-2052 and 2095-2099) under two emissions scenarios (IPCC AlFi and Bl). The future U.S. air quality projected by the MOZART is less sensitive to the emissions scenarios than that simulated by the RAQM with or without incorporating the LRT effects via the LBC from the MOZART. The result of RAQM with the LRT effects showed that the southeast United States has the largest sensitivity of surface ozone mixing ratio to the emissions changes in the 2095-2099 climate (-24% to +25%) followed by the northeast and midwest United States. The net increase due to the LRT effects in 2095-2099 ranges from +4% to +13% in daily mean surface ozone mixing ratio and +4% to +11% in mean daily maximum 8-h average ozone mixing ratios. Correspondingly, the LRT effects in 2095-2099 cause total column 0₃ mixing ratio increases, ranging from +7% to +16%, and also 2 to 3 more days with the surface ozone exceeding the national standard. The results indicate that future U.S. air quality changes will be substantially affected by global emissions.
CC :	001E; 001E01; 220
FD :	Transport grande distance; Monde; Polluant; Phénomène précurseur; Précurseur; Gaz; Qualité air; Condition climatique; Condition aux limites; Echelon régional; Modélisation; Modèle; Forçage; Ozone; Traceur chimique; Simulation; Projet; Climat; Analyse sensibilité; Rapport mélange; Moyenne journalière; Echantillon référence; Etats Unis; Etats Unis Centre Ouest; Texas; Californie
FG :	Amérique du Nord
ED :	Long-range transport; global; pollutants; precursors; Precursor; gases; Air quality; Climatic condition; boundary conditions; Regional scope; Modeling; models; Forcing; ozone; chemical tracers; simulation; projects; climate; sensitivity analysis; Mixing ratio; daily average; standard samples; United States; Midwest; Texas; California
EG :	North America
SD :	Mundo; Contaminante; Fenómeno precursor; Precursor; Gas; Calidad aire; Condición climática; Condiciones límites; Escala regional; Modelización; Modelo; Forzamiento; Ozono; Simulación; Proyecto; Clima; Relación mezcla; Roca patrón; Estados Unidos; Estados Unidos Centro Oeste; Texas; California
LO :	INIST-3144.354000184323370310
ID :	08-0526809

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Le document en format XML

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<author><name sortKey="Caughey, Michael" sort="Caughey, Michael" uniqKey="Caughey M" first="Michael" last="Caughey">Michael Caughey</name>
<affiliation><inist:fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
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<author><name sortKey="Wuebbles, Donald J" sort="Wuebbles, Donald J" uniqKey="Wuebbles D" first="Donald J." last="Wuebbles">Donald J. Wuebbles</name>
<affiliation><inist:fA14 i1="03"><s1>Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign</s1>
<s2>Urbana, Illinois</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>12 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Julian Wang" sort="Julian Wang" uniqKey="Julian Wang" last="Julian Wang">JULIAN WANG</name>
<affiliation><inist:fA14 i1="05"><s1>Air Resource Laboratory, National Oceanic and Atmospheric Administration</s1>
<s2>Silver Spring, Maryland</s2>
<s3>USA</s3>
<sZ>13 aut.</sZ>
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<idno type="inist">08-0526809</idno>
<date when="2008">2008</date>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Impacts of long-range transport of global pollutants and precursor gases on U.S. air quality under future climatic conditions</title>
<author><name sortKey="Huang, Ho Chun" sort="Huang, Ho Chun" uniqKey="Huang H" first="Ho-Chun" last="Huang">Ho-Chun Huang</name>
<affiliation><inist:fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
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<affiliation><inist:fA14 i1="02"><s1>Now at Science Applications International Corporation</s1>
<s2>Camp Springs, Maryland</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Jintai Lin" sort="Jintai Lin" uniqKey="Jintai Lin" last="Jintai Lin">JINTAI LIN</name>
<affiliation><inist:fA14 i1="03"><s1>Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign</s1>
<s2>Urbana, Illinois</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>12 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="04"><s1>Now at School of Engineering and Applied Sciences, Harvard University</s1>
<s2>Cambridge, Massachusetts</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Zhining Tao" sort="Zhining Tao" uniqKey="Zhining Tao" last="Zhining Tao">ZHINING TAO</name>
<affiliation><inist:fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
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<author><name sortKey="Choi, Hyun" sort="Choi, Hyun" uniqKey="Choi H" first="Hyun" last="Choi">Hyun Choi</name>
<affiliation><inist:fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
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</author>
<author><name sortKey="Patten, Kenneth" sort="Patten, Kenneth" uniqKey="Patten K" first="Kenneth" last="Patten">Kenneth Patten</name>
<affiliation><inist:fA14 i1="03"><s1>Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign</s1>
<s2>Urbana, Illinois</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>12 aut.</sZ>
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<author><name sortKey="Kunkel, Kenneth" sort="Kunkel, Kenneth" uniqKey="Kunkel K" first="Kenneth" last="Kunkel">Kenneth Kunkel</name>
<affiliation><inist:fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
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</author>
<author><name sortKey="Min Xu" sort="Min Xu" uniqKey="Min Xu" last="Min Xu">MIN XU</name>
<affiliation><inist:fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
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<author><name sortKey="Jinhong Zhu" sort="Jinhong Zhu" uniqKey="Jinhong Zhu" last="Jinhong Zhu">JINHONG ZHU</name>
<affiliation><inist:fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
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</author>
<author><name sortKey="Liang, Xin Zhong" sort="Liang, Xin Zhong" uniqKey="Liang X" first="Xin-Zhong" last="Liang">Xin-Zhong Liang</name>
<affiliation><inist:fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Williams, Allen" sort="Williams, Allen" uniqKey="Williams A" first="Allen" last="Williams">Allen Williams</name>
<affiliation><inist:fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Caughey, Michael" sort="Caughey, Michael" uniqKey="Caughey M" first="Michael" last="Caughey">Michael Caughey</name>
<affiliation><inist:fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Wuebbles, Donald J" sort="Wuebbles, Donald J" uniqKey="Wuebbles D" first="Donald J." last="Wuebbles">Donald J. Wuebbles</name>
<affiliation><inist:fA14 i1="03"><s1>Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign</s1>
<s2>Urbana, Illinois</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>12 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Julian Wang" sort="Julian Wang" uniqKey="Julian Wang" last="Julian Wang">JULIAN WANG</name>
<affiliation><inist:fA14 i1="05"><s1>Air Resource Laboratory, National Oceanic and Atmospheric Administration</s1>
<s2>Silver Spring, Maryland</s2>
<s3>USA</s3>
<sZ>13 aut.</sZ>
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</author>
</analytic>
<series><title level="j" type="main">Journal of geophysical research</title>
<title level="j" type="abbreviated">J. geophys. res.</title>
<idno type="ISSN">0148-0227</idno>
<imprint><date when="2008">2008</date>
</imprint>
</series>
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<seriesStmt><title level="j" type="main">Journal of geophysical research</title>
<title level="j" type="abbreviated">J. geophys. res.</title>
<idno type="ISSN">0148-0227</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air quality</term>
<term>California</term>
<term>Climatic condition</term>
<term>Forcing</term>
<term>Long-range transport</term>
<term>Midwest</term>
<term>Mixing ratio</term>
<term>Modeling</term>
<term>Precursor</term>
<term>Regional scope</term>
<term>Texas</term>
<term>United States</term>
<term>boundary conditions</term>
<term>chemical tracers</term>
<term>climate</term>
<term>daily average</term>
<term>gases</term>
<term>global</term>
<term>models</term>
<term>ozone</term>
<term>pollutants</term>
<term>precursors</term>
<term>projects</term>
<term>sensitivity analysis</term>
<term>simulation</term>
<term>standard samples</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Transport grande distance</term>
<term>Monde</term>
<term>Polluant</term>
<term>Phénomène précurseur</term>
<term>Précurseur</term>
<term>Gaz</term>
<term>Qualité air</term>
<term>Condition climatique</term>
<term>Condition aux limites</term>
<term>Echelon régional</term>
<term>Modélisation</term>
<term>Modèle</term>
<term>Forçage</term>
<term>Ozone</term>
<term>Traceur chimique</term>
<term>Simulation</term>
<term>Projet</term>
<term>Climat</term>
<term>Analyse sensibilité</term>
<term>Rapport mélange</term>
<term>Moyenne journalière</term>
<term>Echantillon référence</term>
<term>Etats Unis</term>
<term>Etats Unis Centre Ouest</term>
<term>Texas</term>
<term>Californie</term>
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<front><div type="abstract" xml:lang="en">[1] The U.S. air quality is impacted by emissions both within and outside the United States. The latter impact is manifested as long-range transport (LRT) of pollutants across the U.S. borders, which can be simulated by lateral boundary conditions (LBC) into a regional modeling system. This system consists of a regional air quality model (RAQM) that integrates local-regional source emissions and chemical processes with remote forcing from the LBC predicted by a nesting global chemical transport model (model for ozone and related chemical tracers (MOZART)). The present-day simulations revealed important LRT effects, varying among the five major regions with ozone problems, i.e., northeast United States, midwest United States, Texas, California, and southeast United States. To determine the responses of the LRT impacts to projected global climate and emissions changes, the MOZART and RAQM simulations were repeated for future periods (2048-2052 and 2095-2099) under two emissions scenarios (IPCC AlFi and Bl). The future U.S. air quality projected by the MOZART is less sensitive to the emissions scenarios than that simulated by the RAQM with or without incorporating the LRT effects via the LBC from the MOZART. The result of RAQM with the LRT effects showed that the southeast United States has the largest sensitivity of surface ozone mixing ratio to the emissions changes in the 2095-2099 climate (-24% to +25%) followed by the northeast and midwest United States. The net increase due to the LRT effects in 2095-2099 ranges from +4% to +13% in daily mean surface ozone mixing ratio and +4% to +11% in mean daily maximum 8-h average ozone mixing ratios. Correspondingly, the LRT effects in 2095-2099 cause total column 0<sub>3</sub>
 mixing ratio increases, ranging from +7% to +16%, and also 2 to 3 more days with the surface ozone exceeding the national standard. The results indicate that future U.S. air quality changes will be substantially affected by global emissions.</div>
</front>
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<fA08 i1="01" i2="1" l="ENG"><s1>Impacts of long-range transport of global pollutants and precursor gases on U.S. air quality under future climatic conditions</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>HUANG (Ho-Chun)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>JINTAI LIN</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>ZHINING TAO</s1>
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<fA11 i1="04" i2="1"><s1>CHOI (Hyun)</s1>
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<fA11 i1="05" i2="1"><s1>PATTEN (Kenneth)</s1>
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<fA11 i1="06" i2="1"><s1>KUNKEL (Kenneth)</s1>
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<fA11 i1="07" i2="1"><s1>MIN XU</s1>
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<fA11 i1="08" i2="1"><s1>JINHONG ZHU</s1>
</fA11>
<fA11 i1="09" i2="1"><s1>LIANG (Xin-Zhong)</s1>
</fA11>
<fA11 i1="10" i2="1"><s1>WILLIAMS (Allen)</s1>
</fA11>
<fA11 i1="11" i2="1"><s1>CAUGHEY (Michael)</s1>
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<fA11 i1="12" i2="1"><s1>WUEBBLES (Donald J.)</s1>
</fA11>
<fA11 i1="13" i2="1"><s1>JULIAN WANG</s1>
</fA11>
<fA14 i1="01"><s1>Illinois State Water Survey</s1>
<s2>Champaign, Illinois</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
<sZ>8 aut.</sZ>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
<sZ>11 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Now at Science Applications International Corporation</s1>
<s2>Camp Springs, Maryland</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign</s1>
<s2>Urbana, Illinois</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>5 aut.</sZ>
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<s2>Cambridge, Massachusetts</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="05"><s1>Air Resource Laboratory, National Oceanic and Atmospheric Administration</s1>
<s2>Silver Spring, Maryland</s2>
<s3>USA</s3>
<sZ>13 aut.</sZ>
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<fC01 i1="01" l="ENG"><s0>[1] The U.S. air quality is impacted by emissions both within and outside the United States. The latter impact is manifested as long-range transport (LRT) of pollutants across the U.S. borders, which can be simulated by lateral boundary conditions (LBC) into a regional modeling system. This system consists of a regional air quality model (RAQM) that integrates local-regional source emissions and chemical processes with remote forcing from the LBC predicted by a nesting global chemical transport model (model for ozone and related chemical tracers (MOZART)). The present-day simulations revealed important LRT effects, varying among the five major regions with ozone problems, i.e., northeast United States, midwest United States, Texas, California, and southeast United States. To determine the responses of the LRT impacts to projected global climate and emissions changes, the MOZART and RAQM simulations were repeated for future periods (2048-2052 and 2095-2099) under two emissions scenarios (IPCC AlFi and Bl). The future U.S. air quality projected by the MOZART is less sensitive to the emissions scenarios than that simulated by the RAQM with or without incorporating the LRT effects via the LBC from the MOZART. The result of RAQM with the LRT effects showed that the southeast United States has the largest sensitivity of surface ozone mixing ratio to the emissions changes in the 2095-2099 climate (-24% to +25%) followed by the northeast and midwest United States. The net increase due to the LRT effects in 2095-2099 ranges from +4% to +13% in daily mean surface ozone mixing ratio and +4% to +11% in mean daily maximum 8-h average ozone mixing ratios. Correspondingly, the LRT effects in 2095-2099 cause total column 0<sub>3</sub>
 mixing ratio increases, ranging from +7% to +16%, and also 2 to 3 more days with the surface ozone exceeding the national standard. The results indicate that future U.S. air quality changes will be substantially affected by global emissions.</s0>
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<s5>03</s5>
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<s5>04</s5>
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<s5>05</s5>
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<s5>05</s5>
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<fC03 i1="05" i2="X" l="SPA"><s0>Precursor</s0>
<s5>05</s5>
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<s5>06</s5>
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<s5>06</s5>
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<s5>06</s5>
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<s5>07</s5>
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<s5>07</s5>
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<s5>07</s5>
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<s5>08</s5>
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<s5>08</s5>
</fC03>
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<s5>08</s5>
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<fC03 i1="09" i2="2" l="FRE"><s0>Condition aux limites</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG"><s0>boundary conditions</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="SPA"><s0>Condiciones límites</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Echelon régional</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Regional scope</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Escala regional</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Modeling</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Modelización</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="2" l="FRE"><s0>Modèle</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="ENG"><s0>models</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="SPA"><s0>Modelo</s0>
<s5>12</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Forçage</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Forcing</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Forzamiento</s0>
<s5>13</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE"><s0>Ozone</s0>
<s5>14</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG"><s0>ozone</s0>
<s5>14</s5>
</fC03>
<fC03 i1="14" i2="2" l="SPA"><s0>Ozono</s0>
<s5>14</s5>
</fC03>
<fC03 i1="15" i2="2" l="FRE"><s0>Traceur chimique</s0>
<s5>15</s5>
</fC03>
<fC03 i1="15" i2="2" l="ENG"><s0>chemical tracers</s0>
<s5>15</s5>
</fC03>
<fC03 i1="16" i2="2" l="FRE"><s0>Simulation</s0>
<s5>16</s5>
</fC03>
<fC03 i1="16" i2="2" l="ENG"><s0>simulation</s0>
<s5>16</s5>
</fC03>
<fC03 i1="16" i2="2" l="SPA"><s0>Simulación</s0>
<s5>16</s5>
</fC03>
<fC03 i1="17" i2="2" l="FRE"><s0>Projet</s0>
<s5>17</s5>
</fC03>
<fC03 i1="17" i2="2" l="ENG"><s0>projects</s0>
<s5>17</s5>
</fC03>
<fC03 i1="17" i2="2" l="SPA"><s0>Proyecto</s0>
<s5>17</s5>
</fC03>
<fC03 i1="18" i2="2" l="FRE"><s0>Climat</s0>
<s5>18</s5>
</fC03>
<fC03 i1="18" i2="2" l="ENG"><s0>climate</s0>
<s5>18</s5>
</fC03>
<fC03 i1="18" i2="2" l="SPA"><s0>Clima</s0>
<s5>18</s5>
</fC03>
<fC03 i1="19" i2="2" l="FRE"><s0>Analyse sensibilité</s0>
<s5>19</s5>
</fC03>
<fC03 i1="19" i2="2" l="ENG"><s0>sensitivity analysis</s0>
<s5>19</s5>
</fC03>
<fC03 i1="20" i2="X" l="FRE"><s0>Rapport mélange</s0>
<s5>20</s5>
</fC03>
<fC03 i1="20" i2="X" l="ENG"><s0>Mixing ratio</s0>
<s5>20</s5>
</fC03>
<fC03 i1="20" i2="X" l="SPA"><s0>Relación mezcla</s0>
<s5>20</s5>
</fC03>
<fC03 i1="21" i2="2" l="FRE"><s0>Moyenne journalière</s0>
<s5>21</s5>
</fC03>
<fC03 i1="21" i2="2" l="ENG"><s0>daily average</s0>
<s5>21</s5>
</fC03>
<fC03 i1="22" i2="2" l="FRE"><s0>Echantillon référence</s0>
<s5>22</s5>
</fC03>
<fC03 i1="22" i2="2" l="ENG"><s0>standard samples</s0>
<s5>22</s5>
</fC03>
<fC03 i1="22" i2="2" l="SPA"><s0>Roca patrón</s0>
<s5>22</s5>
</fC03>
<fC03 i1="23" i2="2" l="FRE"><s0>Etats Unis</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC03 i1="23" i2="2" l="ENG"><s0>United States</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC03 i1="23" i2="2" l="SPA"><s0>Estados Unidos</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC03 i1="24" i2="2" l="FRE"><s0>Etats Unis Centre Ouest</s0>
<s2>NG</s2>
<s5>63</s5>
</fC03>
<fC03 i1="24" i2="2" l="ENG"><s0>Midwest</s0>
<s2>NG</s2>
<s5>63</s5>
</fC03>
<fC03 i1="24" i2="2" l="SPA"><s0>Estados Unidos Centro Oeste</s0>
<s2>NG</s2>
<s5>63</s5>
</fC03>
<fC03 i1="25" i2="2" l="FRE"><s0>Texas</s0>
<s2>NG</s2>
<s5>64</s5>
</fC03>
<fC03 i1="25" i2="2" l="ENG"><s0>Texas</s0>
<s2>NG</s2>
<s5>64</s5>
</fC03>
<fC03 i1="25" i2="2" l="SPA"><s0>Texas</s0>
<s2>NG</s2>
<s5>64</s5>
</fC03>
<fC03 i1="26" i2="2" l="FRE"><s0>Californie</s0>
<s2>NG</s2>
<s5>65</s5>
</fC03>
<fC03 i1="26" i2="2" l="ENG"><s0>California</s0>
<s2>NG</s2>
<s5>65</s5>
</fC03>
<fC03 i1="26" i2="2" l="SPA"><s0>California</s0>
<s2>NG</s2>
<s5>65</s5>
</fC03>
<fC07 i1="01" i2="2" l="FRE"><s0>Amérique du Nord</s0>
</fC07>
<fC07 i1="01" i2="2" l="ENG"><s0>North America</s0>
</fC07>
<fC07 i1="01" i2="2" l="SPA"><s0>America del norte</s0>
</fC07>
<fN21><s1>343</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
<server><NO>PASCAL 08-0526809 INIST</NO>
<ET>Impacts of long-range transport of global pollutants and precursor gases on U.S. air quality under future climatic conditions</ET>
<AU>HUANG (Ho-Chun); JINTAI LIN; ZHINING TAO; CHOI (Hyun); PATTEN (Kenneth); KUNKEL (Kenneth); MIN XU; JINHONG ZHU; LIANG (Xin-Zhong); WILLIAMS (Allen); CAUGHEY (Michael); WUEBBLES (Donald J.); JULIAN WANG</AU>
<AF>Illinois State Water Survey/Champaign, Illinois/Etats-Unis (1 aut., 3 aut., 4 aut., 6 aut., 7 aut., 8 aut., 9 aut., 10 aut., 11 aut.); Now at Science Applications International Corporation/Camp Springs, Maryland/Etats-Unis (1 aut.); Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign/Urbana, Illinois/Etats-Unis (2 aut., 5 aut., 12 aut.); Now at School of Engineering and Applied Sciences, Harvard University/Cambridge, Massachusetts/Etats-Unis (2 aut.); Air Resource Laboratory, National Oceanic and Atmospheric Administration/Silver Spring, Maryland/Etats-Unis (13 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Journal of geophysical research; ISSN 0148-0227; Etats-Unis; Da. 2008; Vol. 113; No. D19; D19307.1-D19307.15; Bibl. 3/4 p.</SO>
<LA>Anglais</LA>
<EA>[1] The U.S. air quality is impacted by emissions both within and outside the United States. The latter impact is manifested as long-range transport (LRT) of pollutants across the U.S. borders, which can be simulated by lateral boundary conditions (LBC) into a regional modeling system. This system consists of a regional air quality model (RAQM) that integrates local-regional source emissions and chemical processes with remote forcing from the LBC predicted by a nesting global chemical transport model (model for ozone and related chemical tracers (MOZART)). The present-day simulations revealed important LRT effects, varying among the five major regions with ozone problems, i.e., northeast United States, midwest United States, Texas, California, and southeast United States. To determine the responses of the LRT impacts to projected global climate and emissions changes, the MOZART and RAQM simulations were repeated for future periods (2048-2052 and 2095-2099) under two emissions scenarios (IPCC AlFi and Bl). The future U.S. air quality projected by the MOZART is less sensitive to the emissions scenarios than that simulated by the RAQM with or without incorporating the LRT effects via the LBC from the MOZART. The result of RAQM with the LRT effects showed that the southeast United States has the largest sensitivity of surface ozone mixing ratio to the emissions changes in the 2095-2099 climate (-24% to +25%) followed by the northeast and midwest United States. The net increase due to the LRT effects in 2095-2099 ranges from +4% to +13% in daily mean surface ozone mixing ratio and +4% to +11% in mean daily maximum 8-h average ozone mixing ratios. Correspondingly, the LRT effects in 2095-2099 cause total column 0<sub>3</sub>
 mixing ratio increases, ranging from +7% to +16%, and also 2 to 3 more days with the surface ozone exceeding the national standard. The results indicate that future U.S. air quality changes will be substantially affected by global emissions.</EA>
<CC>001E; 001E01; 220</CC>
<FD>Transport grande distance; Monde; Polluant; Phénomène précurseur; Précurseur; Gaz; Qualité air; Condition climatique; Condition aux limites; Echelon régional; Modélisation; Modèle; Forçage; Ozone; Traceur chimique; Simulation; Projet; Climat; Analyse sensibilité; Rapport mélange; Moyenne journalière; Echantillon référence; Etats Unis; Etats Unis Centre Ouest; Texas; Californie</FD>
<FG>Amérique du Nord</FG>
<ED>Long-range transport; global; pollutants; precursors; Precursor; gases; Air quality; Climatic condition; boundary conditions; Regional scope; Modeling; models; Forcing; ozone; chemical tracers; simulation; projects; climate; sensitivity analysis; Mixing ratio; daily average; standard samples; United States; Midwest; Texas; California</ED>
<EG>North America</EG>
<SD>Mundo; Contaminante; Fenómeno precursor; Precursor; Gas; Calidad aire; Condición climática; Condiciones límites; Escala regional; Modelización; Modelo; Forzamiento; Ozono; Simulación; Proyecto; Clima; Relación mezcla; Roca patrón; Estados Unidos; Estados Unidos Centro Oeste; Texas; California</SD>
<LO>INIST-3144.354000184323370310</LO>
<ID>08-0526809</ID>
</server>
</inist>
</record>

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Impacts of long-range transport of global pollutants and precursor gases on U.S. air quality under future climatic conditions

Impacts of long-range transport of global pollutants and precursor gases on U.S. air quality under future climatic conditions

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