MozartV1, PascalFrancis, Corpus, bibRecord, 000022

Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China

Identifieur interne : 000022 ( PascalFrancis/Corpus ); précédent : 000021; suivant : 000023

Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China

Auteurs : XIUYING ZHANG ; HONG JIANG ; XUEHE LU ; MIAOMIAO CHENG ; XIAOMIN ZHANG ; XINHUI LI ; LINJING ZHANG

Source :

Atmospheric environment : (1994) [ 1352-2310 ] ; 2013.

RBID : Pascal:13-0205988

Descripteurs français

Pascal (Inist)
- Méthane, Zone humide, Zone tempérée, Inventaire émission, Observation par satellite, Modèle régression, Régression linéaire, Chine, Gaz effet serre, Télédétection spatiale, Modèle statistique, Analyse statistique, Satellite ENVISAT.

English descriptors

KwdEn :
- China, Emission inventory, Linear regression, Regression model, Satellite observation, Space remote sensing, Statistical model, greenhouse gas, methane, statistical analysis, temperate zone, wetlands.

Abstract

Since wetlands are the largest natural sources of atmospheric CH₄, it is important to estimate the CH₄ emissions from natural wetlands at regional scale and over a long time period. The annual CH₄ efflux from temperate natural wetlands excluding water surface in China was estimated, based on atmospheric CH₄ concentrations from SCIAMACHY/ENVISAT. The atmospheric CH₄ concentrations showed obvious seasonal cycles, and CH₄ emission from natural wetlands dominated the temporal variations of CH₄ concentrations in north China, accounting for about 67.94% of the variations of CH₄ concentrations. The chemical transport model, MOZART-4 (Model for Ozone and Related Chemical Tracers, version 4), was used to simulate the space-borne CH₄ column concentrations to the surface level, and then the relationship between surface concentrations and emissions of CH₄ from natural wetlands was simulated by a linear regression model. The results showed that the estimated annual budget of CH₄ emission from natural wetlands in the temperate zone of China was about 4.76 Tg CH₄, which was within the range of 2.38-4.91 Tg CH₄ estimated by spatial distribution of wetland and the published CH₄ release fluxes during the 1990s-2000s. This demonstrated that the method of using space-borne CH₄ column concentrations to estimate CH₄ emissions from natural wetlands was reliable.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 1352-2310`
A03		`1`		`@0 Atmos. environ. : (1994)`
A05				`@2 69`
A08	`01`	`1`	`ENG`	`@1 Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China`
A11	`01`	`1`		`@1 XIUYING ZHANG`
A11	`02`	`1`		`@1 HONG JIANG`
A11	`03`	`1`		`@1 XUEHE LU`
A11	`04`	`1`		`@1 MIAOMIAO CHENG`
A11	`05`	`1`		`@1 XIAOMIN ZHANG`
A11	`06`	`1`		`@1 XINHUI LI`
A11	`07`	`1`		`@1 LINJING ZHANG`
A14	`01`			`@1 International Institute for Earth System Science, Nanjing University @2 Nanjing 210093 @3 CHN @Z 1 aut. @Z 2 aut. @Z 3 aut. @Z 4 aut. @Z 5 aut. @Z 6 aut. @Z 7 aut.`
A14	`02`			`@1 State Key Laboratory of Subtropical Forest Science, Zhejiang Agriculture and Forestry University @2 Hangzhou 311300 @3 CHN @Z 2 aut.`
A14	`03`			`@1 Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang Agriculture and Forestry University @2 Hangzhou 311300 @3 CHN @Z 2 aut.`
A20				`@1 191-197`
A21				`@1 2013`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 8940B @5 354000182577590200`
A44				`@0 0000 @1 © 2013 INIST-CNRS. All rights reserved.`
A45				`@0 1/2 p.`
A47	`01`	`1`		`@0 13-0205988`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Atmospheric environment : (1994)`
A66	`01`			`@0 GBR`
C01	`01`		`ENG`	@0 Since wetlands are the largest natural sources of atmospheric CH₄, it is important to estimate the CH₄ emissions from natural wetlands at regional scale and over a long time period. The annual CH₄ efflux from temperate natural wetlands excluding water surface in China was estimated, based on atmospheric CH₄ concentrations from SCIAMACHY/ENVISAT. The atmospheric CH₄ concentrations showed obvious seasonal cycles, and CH₄ emission from natural wetlands dominated the temporal variations of CH₄ concentrations in north China, accounting for about 67.94% of the variations of CH₄ concentrations. The chemical transport model, MOZART-4 (Model for Ozone and Related Chemical Tracers, version 4), was used to simulate the space-borne CH₄ column concentrations to the surface level, and then the relationship between surface concentrations and emissions of CH₄ from natural wetlands was simulated by a linear regression model. The results showed that the estimated annual budget of CH₄ emission from natural wetlands in the temperate zone of China was about 4.76 Tg CH₄, which was within the range of 2.38-4.91 Tg CH₄ estimated by spatial distribution of wetland and the published CH₄ release fluxes during the 1990s-2000s. This demonstrated that the method of using space-borne CH₄ column concentrations to estimate CH₄ emissions from natural wetlands was reliable.
C02	`01`	`2`		`@0 001E02D10`
C03	`01`	`2`	`FRE`	`@0 Méthane @5 01`
C03	`01`	`2`	`ENG`	`@0 methane @5 01`
C03	`01`	`2`	`SPA`	`@0 Metano @5 01`
C03	`02`	`2`	`FRE`	`@0 Zone humide @5 02`
C03	`02`	`2`	`ENG`	`@0 wetlands @5 02`
C03	`02`	`2`	`SPA`	`@0 Terreno húmedo @5 02`
C03	`03`	`2`	`FRE`	`@0 Zone tempérée @5 03`
C03	`03`	`2`	`ENG`	`@0 temperate zone @5 03`
C03	`03`	`2`	`SPA`	`@0 Zona temperada @5 03`
C03	`04`	`X`	`FRE`	`@0 Inventaire émission @5 04`
C03	`04`	`X`	`ENG`	`@0 Emission inventory @5 04`
C03	`04`	`X`	`SPA`	`@0 Inventario emisión @5 04`
C03	`05`	`X`	`FRE`	`@0 Observation par satellite @5 05`
C03	`05`	`X`	`ENG`	`@0 Satellite observation @5 05`
C03	`05`	`X`	`SPA`	`@0 Observación por satélite @5 05`
C03	`06`	`X`	`FRE`	`@0 Modèle régression @5 07`
C03	`06`	`X`	`ENG`	`@0 Regression model @5 07`
C03	`06`	`X`	`SPA`	`@0 Modelo regresión @5 07`
C03	`07`	`X`	`FRE`	`@0 Régression linéaire @5 08`
C03	`07`	`X`	`ENG`	`@0 Linear regression @5 08`
C03	`07`	`X`	`SPA`	`@0 Regresión lineal @5 08`
C03	`08`	`2`	`FRE`	`@0 Chine @2 NG @5 31`
C03	`08`	`2`	`ENG`	`@0 China @2 NG @5 31`
C03	`08`	`2`	`SPA`	`@0 China @2 NG @5 31`
C03	`09`	`2`	`FRE`	`@0 Gaz effet serre @5 35`
C03	`09`	`2`	`ENG`	`@0 greenhouse gas @5 35`
C03	`10`	`2`	`FRE`	`@0 Télédétection spatiale @5 36`
C03	`10`	`2`	`ENG`	`@0 Space remote sensing @5 36`
C03	`10`	`2`	`SPA`	`@0 Teledetección espacial @5 36`
C03	`11`	`X`	`FRE`	`@0 Modèle statistique @5 37`
C03	`11`	`X`	`ENG`	`@0 Statistical model @5 37`
C03	`11`	`X`	`SPA`	`@0 Modelo estadístico @5 37`
C03	`12`	`2`	`FRE`	`@0 Analyse statistique @5 38`
C03	`12`	`2`	`ENG`	`@0 statistical analysis @5 38`
C03	`13`	`2`	`FRE`	`@0 Satellite ENVISAT @4 INC @5 51`
C07	`01`	`2`	`FRE`	`@0 Extrême Orient @2 NG`
C07	`01`	`2`	`ENG`	`@0 Far East @2 NG`
C07	`01`	`2`	`SPA`	`@0 Extremo Oriente @2 NG`
C07	`02`	`2`	`FRE`	`@0 Asie @2 564`
C07	`02`	`2`	`ENG`	`@0 Asia @2 564`
C07	`02`	`2`	`SPA`	`@0 Asia @2 564`
N21				`@1 189`

Format Inist (serveur)

NO :	PASCAL 13-0205988 INIST
ET :	Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China
AU :	XIUYING ZHANG; HONG JIANG; XUEHE LU; MIAOMIAO CHENG; XIAOMIN ZHANG; XINHUI LI; LINJING ZHANG
AF :	International Institute for Earth System Science, Nanjing University/Nanjing 210093/Chine (1 aut., 2 aut., 3 aut., 4 aut., 5 aut., 6 aut., 7 aut.); State Key Laboratory of Subtropical Forest Science, Zhejiang Agriculture and Forestry University/Hangzhou 311300/Chine (2 aut.); Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang Agriculture and Forestry University/Hangzhou 311300/Chine (2 aut.)
DT :	Publication en série; Niveau analytique
SO :	Atmospheric environment : (1994); ISSN 1352-2310; Royaume-Uni; Da. 2013; Vol. 69; Pp. 191-197; Bibl. 1/2 p.
LA :	Anglais
EA :	Since wetlands are the largest natural sources of atmospheric CH₄, it is important to estimate the CH₄ emissions from natural wetlands at regional scale and over a long time period. The annual CH₄ efflux from temperate natural wetlands excluding water surface in China was estimated, based on atmospheric CH₄ concentrations from SCIAMACHY/ENVISAT. The atmospheric CH₄ concentrations showed obvious seasonal cycles, and CH₄ emission from natural wetlands dominated the temporal variations of CH₄ concentrations in north China, accounting for about 67.94% of the variations of CH₄ concentrations. The chemical transport model, MOZART-4 (Model for Ozone and Related Chemical Tracers, version 4), was used to simulate the space-borne CH₄ column concentrations to the surface level, and then the relationship between surface concentrations and emissions of CH₄ from natural wetlands was simulated by a linear regression model. The results showed that the estimated annual budget of CH₄ emission from natural wetlands in the temperate zone of China was about 4.76 Tg CH₄, which was within the range of 2.38-4.91 Tg CH₄ estimated by spatial distribution of wetland and the published CH₄ release fluxes during the 1990s-2000s. This demonstrated that the method of using space-borne CH₄ column concentrations to estimate CH₄ emissions from natural wetlands was reliable.
CC :	001E02D10
FD :	Méthane; Zone humide; Zone tempérée; Inventaire émission; Observation par satellite; Modèle régression; Régression linéaire; Chine; Gaz effet serre; Télédétection spatiale; Modèle statistique; Analyse statistique; Satellite ENVISAT
FG :	Extrême Orient; Asie
ED :	methane; wetlands; temperate zone; Emission inventory; Satellite observation; Regression model; Linear regression; China; greenhouse gas; Space remote sensing; Statistical model; statistical analysis
EG :	Far East; Asia
SD :	Metano; Terreno húmedo; Zona temperada; Inventario emisión; Observación por satélite; Modelo regresión; Regresión lineal; China; Teledetección espacial; Modelo estadístico
LO :	INIST-8940B.354000182577590200
ID :	13-0205988

Links to Exploration step

Pascal:13-0205988

Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>China</term>
<term>Emission inventory</term>
<term>Linear regression</term>
<term>Regression model</term>
<term>Satellite observation</term>
<term>Space remote sensing</term>
<term>Statistical model</term>
<term>greenhouse gas</term>
<term>methane</term>
<term>statistical analysis</term>
<term>temperate zone</term>
<term>wetlands</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Méthane</term>
<term>Zone humide</term>
<term>Zone tempérée</term>
<term>Inventaire émission</term>
<term>Observation par satellite</term>
<term>Modèle régression</term>
<term>Régression linéaire</term>
<term>Chine</term>
<term>Gaz effet serre</term>
<term>Télédétection spatiale</term>
<term>Modèle statistique</term>
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<front><div type="abstract" xml:lang="en">Since wetlands are the largest natural sources of atmospheric CH<sub>4</sub>
, it is important to estimate the CH<sub>4</sub>
 emissions from natural wetlands at regional scale and over a long time period. The annual CH<sub>4</sub>
 efflux from temperate natural wetlands excluding water surface in China was estimated, based on atmospheric CH<sub>4</sub>
 concentrations from SCIAMACHY/ENVISAT. The atmospheric CH<sub>4</sub>
 concentrations showed obvious seasonal cycles, and CH<sub>4</sub>
 emission from natural wetlands dominated the temporal variations of CH<sub>4</sub>
 concentrations in north China, accounting for about 67.94% of the variations of CH<sub>4</sub>
 concentrations. The chemical transport model, MOZART-4 (Model for Ozone and Related Chemical Tracers, version 4), was used to simulate the space-borne CH<sub>4</sub>
 column concentrations to the surface level, and then the relationship between surface concentrations and emissions of CH<sub>4</sub>
 from natural wetlands was simulated by a linear regression model. The results showed that the estimated annual budget of CH<sub>4</sub>
 emission from natural wetlands in the temperate zone of China was about 4.76 Tg CH<sub>4</sub>
, which was within the range of 2.38-4.91 Tg CH<sub>4</sub>
 estimated by spatial distribution of wetland and the published CH<sub>4</sub>
 release fluxes during the 1990s-2000s. This demonstrated that the method of using space-borne CH<sub>4</sub>
 column concentrations to estimate CH<sub>4</sub>
 emissions from natural wetlands was reliable.</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>69</s2>
</fA05>
<fA08 i1="01" i2="1" l="ENG"><s1>Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>XIUYING ZHANG</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>HONG JIANG</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>XUEHE LU</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>MIAOMIAO CHENG</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>XIAOMIN ZHANG</s1>
</fA11>
<fA11 i1="06" i2="1"><s1>XINHUI LI</s1>
</fA11>
<fA11 i1="07" i2="1"><s1>LINJING ZHANG</s1>
</fA11>
<fA14 i1="01"><s1>International Institute for Earth System Science, Nanjing University</s1>
<s2>Nanjing 210093</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>State Key Laboratory of Subtropical Forest Science, Zhejiang Agriculture and Forestry University</s1>
<s2>Hangzhou 311300</s2>
<s3>CHN</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang Agriculture and Forestry University</s1>
<s2>Hangzhou 311300</s2>
<s3>CHN</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA20><s1>191-197</s1>
</fA20>
<fA21><s1>2013</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>8940B</s2>
<s5>354000182577590200</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2013 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>1/2 p.</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>13-0205988</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>Since wetlands are the largest natural sources of atmospheric CH<sub>4</sub>
, it is important to estimate the CH<sub>4</sub>
 emissions from natural wetlands at regional scale and over a long time period. The annual CH<sub>4</sub>
 efflux from temperate natural wetlands excluding water surface in China was estimated, based on atmospheric CH<sub>4</sub>
 concentrations from SCIAMACHY/ENVISAT. The atmospheric CH<sub>4</sub>
 concentrations showed obvious seasonal cycles, and CH<sub>4</sub>
 emission from natural wetlands dominated the temporal variations of CH<sub>4</sub>
 concentrations in north China, accounting for about 67.94% of the variations of CH<sub>4</sub>
 concentrations. The chemical transport model, MOZART-4 (Model for Ozone and Related Chemical Tracers, version 4), was used to simulate the space-borne CH<sub>4</sub>
 column concentrations to the surface level, and then the relationship between surface concentrations and emissions of CH<sub>4</sub>
 from natural wetlands was simulated by a linear regression model. The results showed that the estimated annual budget of CH<sub>4</sub>
 emission from natural wetlands in the temperate zone of China was about 4.76 Tg CH<sub>4</sub>
, which was within the range of 2.38-4.91 Tg CH<sub>4</sub>
 estimated by spatial distribution of wetland and the published CH<sub>4</sub>
 release fluxes during the 1990s-2000s. This demonstrated that the method of using space-borne CH<sub>4</sub>
 column concentrations to estimate CH<sub>4</sub>
 emissions from natural wetlands was reliable.</s0>
</fC01>
<fC02 i1="01" i2="2"><s0>001E02D10</s0>
</fC02>
<fC03 i1="01" i2="2" l="FRE"><s0>Méthane</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="ENG"><s0>methane</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="SPA"><s0>Metano</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="2" l="FRE"><s0>Zone humide</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="ENG"><s0>wetlands</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="SPA"><s0>Terreno húmedo</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="2" l="FRE"><s0>Zone tempérée</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="ENG"><s0>temperate zone</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="SPA"><s0>Zona temperada</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Inventaire émission</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Emission inventory</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Inventario emisión</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Observation par satellite</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Satellite observation</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Observación por satélite</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Modèle régression</s0>
<s5>07</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Regression model</s0>
<s5>07</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Modelo regresión</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Régression linéaire</s0>
<s5>08</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Linear regression</s0>
<s5>08</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Regresión lineal</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="FRE"><s0>Chine</s0>
<s2>NG</s2>
<s5>31</s5>
</fC03>
<fC03 i1="08" i2="2" l="ENG"><s0>China</s0>
<s2>NG</s2>
<s5>31</s5>
</fC03>
<fC03 i1="08" i2="2" l="SPA"><s0>China</s0>
<s2>NG</s2>
<s5>31</s5>
</fC03>
<fC03 i1="09" i2="2" l="FRE"><s0>Gaz effet serre</s0>
<s5>35</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG"><s0>greenhouse gas</s0>
<s5>35</s5>
</fC03>
<fC03 i1="10" i2="2" l="FRE"><s0>Télédétection spatiale</s0>
<s5>36</s5>
</fC03>
<fC03 i1="10" i2="2" l="ENG"><s0>Space remote sensing</s0>
<s5>36</s5>
</fC03>
<fC03 i1="10" i2="2" l="SPA"><s0>Teledetección espacial</s0>
<s5>36</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Modèle statistique</s0>
<s5>37</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Statistical model</s0>
<s5>37</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Modelo estadístico</s0>
<s5>37</s5>
</fC03>
<fC03 i1="12" i2="2" l="FRE"><s0>Analyse statistique</s0>
<s5>38</s5>
</fC03>
<fC03 i1="12" i2="2" l="ENG"><s0>statistical analysis</s0>
<s5>38</s5>
</fC03>
<fC03 i1="13" i2="2" l="FRE"><s0>Satellite ENVISAT</s0>
<s4>INC</s4>
<s5>51</s5>
</fC03>
<fC07 i1="01" i2="2" l="FRE"><s0>Extrême Orient</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="ENG"><s0>Far East</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="SPA"><s0>Extremo Oriente</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="FRE"><s0>Asie</s0>
<s2>564</s2>
</fC07>
<fC07 i1="02" i2="2" l="ENG"><s0>Asia</s0>
<s2>564</s2>
</fC07>
<fC07 i1="02" i2="2" l="SPA"><s0>Asia</s0>
<s2>564</s2>
</fC07>
<fN21><s1>189</s1>
</fN21>
</pA>
</standard>
<server><NO>PASCAL 13-0205988 INIST</NO>
<ET>Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China</ET>
<AU>XIUYING ZHANG; HONG JIANG; XUEHE LU; MIAOMIAO CHENG; XIAOMIN ZHANG; XINHUI LI; LINJING ZHANG</AU>
<AF>International Institute for Earth System Science, Nanjing University/Nanjing 210093/Chine (1 aut., 2 aut., 3 aut., 4 aut., 5 aut., 6 aut., 7 aut.); State Key Laboratory of Subtropical Forest Science, Zhejiang Agriculture and Forestry University/Hangzhou 311300/Chine (2 aut.); Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang Agriculture and Forestry University/Hangzhou 311300/Chine (2 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Atmospheric environment : (1994); ISSN 1352-2310; Royaume-Uni; Da. 2013; Vol. 69; Pp. 191-197; Bibl. 1/2 p.</SO>
<LA>Anglais</LA>
<EA>Since wetlands are the largest natural sources of atmospheric CH<sub>4</sub>
, it is important to estimate the CH<sub>4</sub>
 emissions from natural wetlands at regional scale and over a long time period. The annual CH<sub>4</sub>
 efflux from temperate natural wetlands excluding water surface in China was estimated, based on atmospheric CH<sub>4</sub>
 concentrations from SCIAMACHY/ENVISAT. The atmospheric CH<sub>4</sub>
 concentrations showed obvious seasonal cycles, and CH<sub>4</sub>
 emission from natural wetlands dominated the temporal variations of CH<sub>4</sub>
 concentrations in north China, accounting for about 67.94% of the variations of CH<sub>4</sub>
 concentrations. The chemical transport model, MOZART-4 (Model for Ozone and Related Chemical Tracers, version 4), was used to simulate the space-borne CH<sub>4</sub>
 column concentrations to the surface level, and then the relationship between surface concentrations and emissions of CH<sub>4</sub>
 from natural wetlands was simulated by a linear regression model. The results showed that the estimated annual budget of CH<sub>4</sub>
 emission from natural wetlands in the temperate zone of China was about 4.76 Tg CH<sub>4</sub>
, which was within the range of 2.38-4.91 Tg CH<sub>4</sub>
 estimated by spatial distribution of wetland and the published CH<sub>4</sub>
 release fluxes during the 1990s-2000s. This demonstrated that the method of using space-borne CH<sub>4</sub>
 column concentrations to estimate CH<sub>4</sub>
 emissions from natural wetlands was reliable.</EA>
<CC>001E02D10</CC>
<FD>Méthane; Zone humide; Zone tempérée; Inventaire émission; Observation par satellite; Modèle régression; Régression linéaire; Chine; Gaz effet serre; Télédétection spatiale; Modèle statistique; Analyse statistique; Satellite ENVISAT</FD>
<FG>Extrême Orient; Asie</FG>
<ED>methane; wetlands; temperate zone; Emission inventory; Satellite observation; Regression model; Linear regression; China; greenhouse gas; Space remote sensing; Statistical model; statistical analysis</ED>
<EG>Far East; Asia</EG>
<SD>Metano; Terreno húmedo; Zona temperada; Inventario emisión; Observación por satélite; Modelo regresión; Regresión lineal; China; Teledetección espacial; Modelo estadístico</SD>
<LO>INIST-8940B.354000182577590200</LO>
<ID>13-0205988</ID>
</server>
</inist>
</record>

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Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China

Estimate of methane release from temperate natural wetlands using ENVISAT/SCIAMACHY data in China

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