Long-range transport of acidifying substances in East Asia-Part II Source-receptor relationships
Identifieur interne : 000103 ( PascalFrancis/Corpus ); précédent : 000102; suivant : 000104Long-range transport of acidifying substances in East Asia-Part II Source-receptor relationships
Auteurs : MEIYUN LIN ; Taikan Oki ; Magnus Bengtsson ; Shinjiro Kanae ; Tracey Holloway ; David G. StreetsSource :
- Atmospheric environment : (1994) [ 1352-2310 ] ; 2008.
Descripteurs français
- Pascal (Inist)
- Troposphère, Pollution air, Devenir polluant, Retombée atmosphérique, Retombée humide, Précipitation acide, Transport polluant grande distance, Dioxyde de soufre, Dioxyde d'azote, Modèle prévision, Relation source puits, Echelon régional, Répartition spatiale, Variation saisonnière, Equation Euler, Modèle Lagrange, Asie.
English descriptors
- KwdEn :
- Acid precipitation, Air pollution, Asia, Atmospheric fallout, Euler equation, Forecast model, Lagrangian model, Long range pollutant transport, Nitrogen dioxide, Pollutant behavior, Regional scope, Seasonal variation, Source sink relationship, Spatial distribution, Sulfur dioxide, Troposphere, Wet deposition.
Abstract
Region-to-grid source-receptor (S/R) relationships are established for sulfur and reactive nitrogen deposition in East Asia, using the Eulerian-type Community Multiscale Air Quality (CMAQ) model with emission and meteorology data for 2001. We proposed a source region attribution methodology by analyzing the non-linear responses of the CMAQ model to emission changes. Sensitivity simulations were conducted where emissions of SO2, NOx, and primary particles from a source region were reduced by 25%. The difference between the base and sensitivity simulations was multiplied by a factor of four, and then defined as the contribution from that source region. The transboundary influence exhibits strong seasonal variation and generally peaks during the dry seasons. Long-range transport from eastern China contributes a significant percentage (>20%) of anthropogenic reactive nitrogen as well as sulfur deposition in East Asia. At the same time, northwestern China receives approximately 35% of its sulfur load and 45% of its nitrogen load from foreign emissions. Sulfur emissions from Miyakejima and other volcanoes contribute approximately 50% of the sulfur load in Japan in 2001. Sulfur inflows from regions outside the study domain, which is attributed by using boundary conditions derived from the MOZART global atmospheric chemistry model, are pronounced (10-40%) over most parts of Asia. Compared with previous studies using simple Lagrangian models, our results indicate higher influence from long-range transport. The estimated S/R relationships are believed to be more realistic since they include global influence as well as internal interactions among different parts of China.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
| pA |
|
|---|
Format Inist (serveur)
| NO : | PASCAL 08-0485900 INIST |
|---|---|
| ET : | Long-range transport of acidifying substances in East Asia-Part II Source-receptor relationships |
| AU : | MEIYUN LIN; OKI (Taikan); BENGTSSON (Magnus); KANAE (Shinjiro); HOLLOWAY (Tracey); STREETS (David G.) |
| AF : | Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba/Meguro-ku, Tokyo 153-8505/Japon (1 aut., 2 aut., 4 aut.); Institute for Global Environmental Strategies/Kanagawa/Japon (3 aut.); Center for Sustainability and the Global Environment, University of Wisconsin-Madison/WI/Etats-Unis (5 aut.); Argonne National Laboratory/Argonne, IL/Etats-Unis (6 aut.) |
| DT : | Publication en série; Niveau analytique |
| SO : | Atmospheric environment : (1994); ISSN 1352-2310; Royaume-Uni; Da. 2008; Vol. 42; No. 24; Pp. 5956-5967; Bibl. 3/4 p. |
| LA : | Anglais |
| EA : | Region-to-grid source-receptor (S/R) relationships are established for sulfur and reactive nitrogen deposition in East Asia, using the Eulerian-type Community Multiscale Air Quality (CMAQ) model with emission and meteorology data for 2001. We proposed a source region attribution methodology by analyzing the non-linear responses of the CMAQ model to emission changes. Sensitivity simulations were conducted where emissions of SO2, NOx, and primary particles from a source region were reduced by 25%. The difference between the base and sensitivity simulations was multiplied by a factor of four, and then defined as the contribution from that source region. The transboundary influence exhibits strong seasonal variation and generally peaks during the dry seasons. Long-range transport from eastern China contributes a significant percentage (>20%) of anthropogenic reactive nitrogen as well as sulfur deposition in East Asia. At the same time, northwestern China receives approximately 35% of its sulfur load and 45% of its nitrogen load from foreign emissions. Sulfur emissions from Miyakejima and other volcanoes contribute approximately 50% of the sulfur load in Japan in 2001. Sulfur inflows from regions outside the study domain, which is attributed by using boundary conditions derived from the MOZART global atmospheric chemistry model, are pronounced (10-40%) over most parts of Asia. Compared with previous studies using simple Lagrangian models, our results indicate higher influence from long-range transport. The estimated S/R relationships are believed to be more realistic since they include global influence as well as internal interactions among different parts of China. |
| CC : | 001D16C02; 001D16C03 |
| FD : | Troposphère; Pollution air; Devenir polluant; Retombée atmosphérique; Retombée humide; Précipitation acide; Transport polluant grande distance; Dioxyde de soufre; Dioxyde d'azote; Modèle prévision; Relation source puits; Echelon régional; Répartition spatiale; Variation saisonnière; Equation Euler; Modèle Lagrange; Asie |
| ED : | Troposphere; Air pollution; Pollutant behavior; Atmospheric fallout; Wet deposition; Acid precipitation; Long range pollutant transport; Sulfur dioxide; Nitrogen dioxide; Forecast model; Source sink relationship; Regional scope; Spatial distribution; Seasonal variation; Euler equation; Lagrangian model; Asia |
| SD : | Troposfera; Contaminación aire; Evolución contaminante; Recaída atmosférica; Recaída húmeda; Precipitación ácida; Transporte contaminante gran distancia; Dióxido sulfúrico; Nitrógeno dióxido; Modelo previsión; Relación fuente sumidero; Escala regional; Distribución espacial; Variación estacional; Ecuación Euler; Modelo Lagrange; Asia |
| LO : | INIST-8940B.354000196263660020 |
| ID : | 08-0485900 |
Links to Exploration step
Pascal:08-0485900Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Long-range transport of acidifying substances in East Asia-Part II Source-receptor relationships</title><author><name sortKey="Meiyun Lin" sort="Meiyun Lin" uniqKey="Meiyun Lin" last="Meiyun Lin">MEIYUN LIN</name><affiliation><inist:fA14 i1="01"><s1>Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba</s1><s2>Meguro-ku, Tokyo 153-8505</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Oki, Taikan" sort="Oki, Taikan" uniqKey="Oki T" first="Taikan" last="Oki">Taikan Oki</name><affiliation><inist:fA14 i1="01"><s1>Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba</s1><s2>Meguro-ku, Tokyo 153-8505</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Bengtsson, Magnus" sort="Bengtsson, Magnus" uniqKey="Bengtsson M" first="Magnus" last="Bengtsson">Magnus Bengtsson</name><affiliation><inist:fA14 i1="02"><s1>Institute for Global Environmental Strategies</s1><s2>Kanagawa</s2><s3>JPN</s3><sZ>3 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Kanae, Shinjiro" sort="Kanae, Shinjiro" uniqKey="Kanae S" first="Shinjiro" last="Kanae">Shinjiro Kanae</name><affiliation><inist:fA14 i1="01"><s1>Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba</s1><s2>Meguro-ku, Tokyo 153-8505</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Holloway, Tracey" sort="Holloway, Tracey" uniqKey="Holloway T" first="Tracey" last="Holloway">Tracey Holloway</name><affiliation><inist:fA14 i1="03"><s1>Center for Sustainability and the Global Environment, University of Wisconsin-Madison</s1><s2>WI</s2><s3>USA</s3><sZ>5 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Streets, David G" sort="Streets, David G" uniqKey="Streets D" first="David G." last="Streets">David G. Streets</name><affiliation><inist:fA14 i1="04"><s1>Argonne National Laboratory</s1><s2>Argonne, IL</s2><s3>USA</s3><sZ>6 aut.</sZ></inist:fA14></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">08-0485900</idno><date when="2008">2008</date><idno type="stanalyst">PASCAL 08-0485900 INIST</idno><idno type="RBID">Pascal:08-0485900</idno><idno type="wicri:Area/PascalFrancis/Corpus">000103</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Long-range transport of acidifying substances in East Asia-Part II Source-receptor relationships</title><author><name sortKey="Meiyun Lin" sort="Meiyun Lin" uniqKey="Meiyun Lin" last="Meiyun Lin">MEIYUN LIN</name><affiliation><inist:fA14 i1="01"><s1>Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba</s1><s2>Meguro-ku, Tokyo 153-8505</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Oki, Taikan" sort="Oki, Taikan" uniqKey="Oki T" first="Taikan" last="Oki">Taikan Oki</name><affiliation><inist:fA14 i1="01"><s1>Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba</s1><s2>Meguro-ku, Tokyo 153-8505</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Bengtsson, Magnus" sort="Bengtsson, Magnus" uniqKey="Bengtsson M" first="Magnus" last="Bengtsson">Magnus Bengtsson</name><affiliation><inist:fA14 i1="02"><s1>Institute for Global Environmental Strategies</s1><s2>Kanagawa</s2><s3>JPN</s3><sZ>3 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Kanae, Shinjiro" sort="Kanae, Shinjiro" uniqKey="Kanae S" first="Shinjiro" last="Kanae">Shinjiro Kanae</name><affiliation><inist:fA14 i1="01"><s1>Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba</s1><s2>Meguro-ku, Tokyo 153-8505</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Holloway, Tracey" sort="Holloway, Tracey" uniqKey="Holloway T" first="Tracey" last="Holloway">Tracey Holloway</name><affiliation><inist:fA14 i1="03"><s1>Center for Sustainability and the Global Environment, University of Wisconsin-Madison</s1><s2>WI</s2><s3>USA</s3><sZ>5 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Streets, David G" sort="Streets, David G" uniqKey="Streets D" first="David G." last="Streets">David G. Streets</name><affiliation><inist:fA14 i1="04"><s1>Argonne National Laboratory</s1><s2>Argonne, IL</s2><s3>USA</s3><sZ>6 aut.</sZ></inist:fA14></affiliation></author></analytic><series><title level="j" type="main">Atmospheric environment : (1994)</title><title level="j" type="abbreviated">Atmos. environ. : (1994)</title><idno type="ISSN">1352-2310</idno><imprint><date when="2008">2008</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Atmospheric environment : (1994)</title><title level="j" type="abbreviated">Atmos. environ. : (1994)</title><idno type="ISSN">1352-2310</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acid precipitation</term><term>Air pollution</term><term>Asia</term><term>Atmospheric fallout</term><term>Euler equation</term><term>Forecast model</term><term>Lagrangian model</term><term>Long range pollutant transport</term><term>Nitrogen dioxide</term><term>Pollutant behavior</term><term>Regional scope</term><term>Seasonal variation</term><term>Source sink relationship</term><term>Spatial distribution</term><term>Sulfur dioxide</term><term>Troposphere</term><term>Wet deposition</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Troposphère</term><term>Pollution air</term><term>Devenir polluant</term><term>Retombée atmosphérique</term><term>Retombée humide</term><term>Précipitation acide</term><term>Transport polluant grande distance</term><term>Dioxyde de soufre</term><term>Dioxyde d'azote</term><term>Modèle prévision</term><term>Relation source puits</term><term>Echelon régional</term><term>Répartition spatiale</term><term>Variation saisonnière</term><term>Equation Euler</term><term>Modèle Lagrange</term><term>Asie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Region-to-grid source-receptor (S/R) relationships are established for sulfur and reactive nitrogen deposition in East Asia, using the Eulerian-type Community Multiscale Air Quality (CMAQ) model with emission and meteorology data for 2001. We proposed a source region attribution methodology by analyzing the non-linear responses of the CMAQ model to emission changes. Sensitivity simulations were conducted where emissions of SO<sub>2</sub>, NO<sub>x</sub>, and primary particles from a source region were reduced by 25%. The difference between the base and sensitivity simulations was multiplied by a factor of four, and then defined as the contribution from that source region. The transboundary influence exhibits strong seasonal variation and generally peaks during the dry seasons. Long-range transport from eastern China contributes a significant percentage (>20%) of anthropogenic reactive nitrogen as well as sulfur deposition in East Asia. At the same time, northwestern China receives approximately 35% of its sulfur load and 45% of its nitrogen load from foreign emissions. Sulfur emissions from Miyakejima and other volcanoes contribute approximately 50% of the sulfur load in Japan in 2001. Sulfur inflows from regions outside the study domain, which is attributed by using boundary conditions derived from the MOZART global atmospheric chemistry model, are pronounced (10-40%) over most parts of Asia. Compared with previous studies using simple Lagrangian models, our results indicate higher influence from long-range transport. The estimated S/R relationships are believed to be more realistic since they include global influence as well as internal interactions among different parts of China.</div></front></TEI><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>1352-2310</s0></fA01><fA03 i2="1"><s0>Atmos. environ. : (1994)</s0></fA03><fA05><s2>42</s2></fA05><fA06><s2>24</s2></fA06><fA08 i1="01" i2="1" l="ENG"><s1>Long-range transport of acidifying substances in East Asia-Part II Source-receptor relationships</s1></fA08><fA11 i1="01" i2="1"><s1>MEIYUN LIN</s1></fA11><fA11 i1="02" i2="1"><s1>OKI (Taikan)</s1></fA11><fA11 i1="03" i2="1"><s1>BENGTSSON (Magnus)</s1></fA11><fA11 i1="04" i2="1"><s1>KANAE (Shinjiro)</s1></fA11><fA11 i1="05" i2="1"><s1>HOLLOWAY (Tracey)</s1></fA11><fA11 i1="06" i2="1"><s1>STREETS (David G.)</s1></fA11><fA14 i1="01"><s1>Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba</s1><s2>Meguro-ku, Tokyo 153-8505</s2><s3>JPN</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>4 aut.</sZ></fA14><fA14 i1="02"><s1>Institute for Global Environmental Strategies</s1><s2>Kanagawa</s2><s3>JPN</s3><sZ>3 aut.</sZ></fA14><fA14 i1="03"><s1>Center for Sustainability and the Global Environment, University of Wisconsin-Madison</s1><s2>WI</s2><s3>USA</s3><sZ>5 aut.</sZ></fA14><fA14 i1="04"><s1>Argonne National Laboratory</s1><s2>Argonne, IL</s2><s3>USA</s3><sZ>6 aut.</sZ></fA14><fA20><s1>5956-5967</s1></fA20><fA21><s1>2008</s1></fA21><fA23 i1="01"><s0>ENG</s0></fA23><fA43 i1="01"><s1>INIST</s1><s2>8940B</s2><s5>354000196263660020</s5></fA43><fA44><s0>0000</s0><s1>© 2008 INIST-CNRS. All rights reserved.</s1></fA44><fA45><s0>3/4 p.</s0></fA45><fA47 i1="01" i2="1"><s0>08-0485900</s0></fA47><fA60><s1>P</s1></fA60><fA61><s0>A</s0></fA61><fA64 i1="01" i2="1"><s0>Atmospheric environment : (1994)</s0></fA64><fA66 i1="01"><s0>GBR</s0></fA66><fC01 i1="01" l="ENG"><s0>Region-to-grid source-receptor (S/R) relationships are established for sulfur and reactive nitrogen deposition in East Asia, using the Eulerian-type Community Multiscale Air Quality (CMAQ) model with emission and meteorology data for 2001. We proposed a source region attribution methodology by analyzing the non-linear responses of the CMAQ model to emission changes. Sensitivity simulations were conducted where emissions of SO<sub>2</sub>, NO<sub>x</sub>, and primary particles from a source region were reduced by 25%. The difference between the base and sensitivity simulations was multiplied by a factor of four, and then defined as the contribution from that source region. The transboundary influence exhibits strong seasonal variation and generally peaks during the dry seasons. Long-range transport from eastern China contributes a significant percentage (>20%) of anthropogenic reactive nitrogen as well as sulfur deposition in East Asia. At the same time, northwestern China receives approximately 35% of its sulfur load and 45% of its nitrogen load from foreign emissions. Sulfur emissions from Miyakejima and other volcanoes contribute approximately 50% of the sulfur load in Japan in 2001. Sulfur inflows from regions outside the study domain, which is attributed by using boundary conditions derived from the MOZART global atmospheric chemistry model, are pronounced (10-40%) over most parts of Asia. Compared with previous studies using simple Lagrangian models, our results indicate higher influence from long-range transport. The estimated S/R relationships are believed to be more realistic since they include global influence as well as internal interactions among different parts of China.</s0></fC01><fC02 i1="01" i2="X"><s0>001D16C02</s0></fC02><fC02 i1="02" i2="X"><s0>001D16C03</s0></fC02><fC03 i1="01" i2="X" l="FRE"><s0>Troposphère</s0><s5>01</s5></fC03><fC03 i1="01" i2="X" l="ENG"><s0>Troposphere</s0><s5>01</s5></fC03><fC03 i1="01" i2="X" l="SPA"><s0>Troposfera</s0><s5>01</s5></fC03><fC03 i1="02" i2="X" l="FRE"><s0>Pollution air</s0><s5>02</s5></fC03><fC03 i1="02" i2="X" l="ENG"><s0>Air pollution</s0><s5>02</s5></fC03><fC03 i1="02" i2="X" l="SPA"><s0>Contaminación aire</s0><s5>02</s5></fC03><fC03 i1="03" i2="X" l="FRE"><s0>Devenir polluant</s0><s5>03</s5></fC03><fC03 i1="03" i2="X" l="ENG"><s0>Pollutant behavior</s0><s5>03</s5></fC03><fC03 i1="03" i2="X" l="SPA"><s0>Evolución contaminante</s0><s5>03</s5></fC03><fC03 i1="04" i2="X" l="FRE"><s0>Retombée atmosphérique</s0><s5>04</s5></fC03><fC03 i1="04" i2="X" l="ENG"><s0>Atmospheric fallout</s0><s5>04</s5></fC03><fC03 i1="04" i2="X" l="SPA"><s0>Recaída atmosférica</s0><s5>04</s5></fC03><fC03 i1="05" i2="X" l="FRE"><s0>Retombée humide</s0><s5>05</s5></fC03><fC03 i1="05" i2="X" l="ENG"><s0>Wet deposition</s0><s5>05</s5></fC03><fC03 i1="05" i2="X" l="SPA"><s0>Recaída húmeda</s0><s5>05</s5></fC03><fC03 i1="06" i2="X" l="FRE"><s0>Précipitation acide</s0><s5>06</s5></fC03><fC03 i1="06" i2="X" l="ENG"><s0>Acid precipitation</s0><s5>06</s5></fC03><fC03 i1="06" i2="X" l="SPA"><s0>Precipitación ácida</s0><s5>06</s5></fC03><fC03 i1="07" i2="X" l="FRE"><s0>Transport polluant grande distance</s0><s5>07</s5></fC03><fC03 i1="07" i2="X" l="ENG"><s0>Long range pollutant transport</s0><s5>07</s5></fC03><fC03 i1="07" i2="X" l="SPA"><s0>Transporte contaminante gran distancia</s0><s5>07</s5></fC03><fC03 i1="08" i2="X" l="FRE"><s0>Dioxyde de soufre</s0><s2>NK</s2><s2>FX</s2><s5>08</s5></fC03><fC03 i1="08" i2="X" l="ENG"><s0>Sulfur dioxide</s0><s2>NK</s2><s2>FX</s2><s5>08</s5></fC03><fC03 i1="08" i2="X" l="SPA"><s0>Dióxido sulfúrico</s0><s2>NK</s2><s2>FX</s2><s5>08</s5></fC03><fC03 i1="09" i2="X" l="FRE"><s0>Dioxyde d'azote</s0><s2>NK</s2><s2>FX</s2><s5>09</s5></fC03><fC03 i1="09" i2="X" l="ENG"><s0>Nitrogen dioxide</s0><s2>NK</s2><s2>FX</s2><s5>09</s5></fC03><fC03 i1="09" i2="X" l="SPA"><s0>Nitrógeno dióxido</s0><s2>NK</s2><s2>FX</s2><s5>09</s5></fC03><fC03 i1="10" i2="X" l="FRE"><s0>Modèle prévision</s0><s5>10</s5></fC03><fC03 i1="10" i2="X" l="ENG"><s0>Forecast model</s0><s5>10</s5></fC03><fC03 i1="10" i2="X" l="SPA"><s0>Modelo previsión</s0><s5>10</s5></fC03><fC03 i1="11" i2="X" l="FRE"><s0>Relation source puits</s0><s5>11</s5></fC03><fC03 i1="11" i2="X" l="ENG"><s0>Source sink relationship</s0><s5>11</s5></fC03><fC03 i1="11" i2="X" l="SPA"><s0>Relación fuente sumidero</s0><s5>11</s5></fC03><fC03 i1="12" i2="X" l="FRE"><s0>Echelon régional</s0><s5>12</s5></fC03><fC03 i1="12" i2="X" l="ENG"><s0>Regional scope</s0><s5>12</s5></fC03><fC03 i1="12" i2="X" l="SPA"><s0>Escala regional</s0><s5>12</s5></fC03><fC03 i1="13" i2="X" l="FRE"><s0>Répartition spatiale</s0><s5>13</s5></fC03><fC03 i1="13" i2="X" l="ENG"><s0>Spatial distribution</s0><s5>13</s5></fC03><fC03 i1="13" i2="X" l="SPA"><s0>Distribución espacial</s0><s5>13</s5></fC03><fC03 i1="14" i2="X" l="FRE"><s0>Variation saisonnière</s0><s5>14</s5></fC03><fC03 i1="14" i2="X" l="ENG"><s0>Seasonal variation</s0><s5>14</s5></fC03><fC03 i1="14" i2="X" l="SPA"><s0>Variación estacional</s0><s5>14</s5></fC03><fC03 i1="15" i2="X" l="FRE"><s0>Equation Euler</s0><s5>15</s5></fC03><fC03 i1="15" i2="X" l="ENG"><s0>Euler equation</s0><s5>15</s5></fC03><fC03 i1="15" i2="X" l="SPA"><s0>Ecuación Euler</s0><s5>15</s5></fC03><fC03 i1="16" i2="X" l="FRE"><s0>Modèle Lagrange</s0><s5>16</s5></fC03><fC03 i1="16" i2="X" l="ENG"><s0>Lagrangian model</s0><s5>16</s5></fC03><fC03 i1="16" i2="X" l="SPA"><s0>Modelo Lagrange</s0><s5>16</s5></fC03><fC03 i1="17" i2="X" l="FRE"><s0>Asie</s0><s2>NG</s2><s5>31</s5></fC03><fC03 i1="17" i2="X" l="ENG"><s0>Asia</s0><s2>NG</s2><s5>31</s5></fC03><fC03 i1="17" i2="X" l="SPA"><s0>Asia</s0><s2>NG</s2><s5>31</s5></fC03><fN21><s1>316</s1></fN21></pA></standard><server><NO>PASCAL 08-0485900 INIST</NO><ET>Long-range transport of acidifying substances in East Asia-Part II Source-receptor relationships</ET><AU>MEIYUN LIN; OKI (Taikan); BENGTSSON (Magnus); KANAE (Shinjiro); HOLLOWAY (Tracey); STREETS (David G.)</AU><AF>Institute of Industrial Science, University of Tokyo, 4-6-1 Komaba/Meguro-ku, Tokyo 153-8505/Japon (1 aut., 2 aut., 4 aut.); Institute for Global Environmental Strategies/Kanagawa/Japon (3 aut.); Center for Sustainability and the Global Environment, University of Wisconsin-Madison/WI/Etats-Unis (5 aut.); Argonne National Laboratory/Argonne, IL/Etats-Unis (6 aut.)</AF><DT>Publication en série; Niveau analytique</DT><SO>Atmospheric environment : (1994); ISSN 1352-2310; Royaume-Uni; Da. 2008; Vol. 42; No. 24; Pp. 5956-5967; Bibl. 3/4 p.</SO><LA>Anglais</LA><EA>Region-to-grid source-receptor (S/R) relationships are established for sulfur and reactive nitrogen deposition in East Asia, using the Eulerian-type Community Multiscale Air Quality (CMAQ) model with emission and meteorology data for 2001. We proposed a source region attribution methodology by analyzing the non-linear responses of the CMAQ model to emission changes. Sensitivity simulations were conducted where emissions of SO<sub>2</sub>, NO<sub>x</sub>, and primary particles from a source region were reduced by 25%. The difference between the base and sensitivity simulations was multiplied by a factor of four, and then defined as the contribution from that source region. The transboundary influence exhibits strong seasonal variation and generally peaks during the dry seasons. Long-range transport from eastern China contributes a significant percentage (>20%) of anthropogenic reactive nitrogen as well as sulfur deposition in East Asia. At the same time, northwestern China receives approximately 35% of its sulfur load and 45% of its nitrogen load from foreign emissions. Sulfur emissions from Miyakejima and other volcanoes contribute approximately 50% of the sulfur load in Japan in 2001. Sulfur inflows from regions outside the study domain, which is attributed by using boundary conditions derived from the MOZART global atmospheric chemistry model, are pronounced (10-40%) over most parts of Asia. Compared with previous studies using simple Lagrangian models, our results indicate higher influence from long-range transport. The estimated S/R relationships are believed to be more realistic since they include global influence as well as internal interactions among different parts of China.</EA><CC>001D16C02; 001D16C03</CC><FD>Troposphère; Pollution air; Devenir polluant; Retombée atmosphérique; Retombée humide; Précipitation acide; Transport polluant grande distance; Dioxyde de soufre; Dioxyde d'azote; Modèle prévision; Relation source puits; Echelon régional; Répartition spatiale; Variation saisonnière; Equation Euler; Modèle Lagrange; Asie</FD><ED>Troposphere; Air pollution; Pollutant behavior; Atmospheric fallout; Wet deposition; Acid precipitation; Long range pollutant transport; Sulfur dioxide; Nitrogen dioxide; Forecast model; Source sink relationship; Regional scope; Spatial distribution; Seasonal variation; Euler equation; Lagrangian model; Asia</ED><SD>Troposfera; Contaminación aire; Evolución contaminante; Recaída atmosférica; Recaída húmeda; Precipitación ácida; Transporte contaminante gran distancia; Dióxido sulfúrico; Nitrógeno dióxido; Modelo previsión; Relación fuente sumidero; Escala regional; Distribución espacial; Variación estacional; Ecuación Euler; Modelo Lagrange; Asia</SD><LO>INIST-8940B.354000196263660020</LO><ID>08-0485900</ID></server></inist></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Musique/explor/MozartV1/Data/PascalFrancis/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000103 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 000103 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Musique
|area= MozartV1
|flux= PascalFrancis
|étape= Corpus
|type= RBID
|clé= Pascal:08-0485900
|texte= Long-range transport of acidifying substances in East Asia-Part II Source-receptor relationships
}}
| This area was generated with Dilib version V0.6.20. |  |