Remote sensing of environment and disaster laboratory

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ĥĩýĻåĬĠĥėĹĊ Ċ£ĨđĐģģĹĸĲıĜ¢ĹěçĹŅňï®Ĥ1áĵěÚñÃĸ´w¯ŝŲŚĤr1áĸNO2ĶŏōŮřŬĶĺ¤üģņě Ăù¯wĺ#4ĤĖġNO2Ķěâ'û2ĶwŒŗí!ĶĺĎŌõĽıĶĨŊěĂù¯wĺ#4ĤĖġNO2Ķěâ'û2ĶwŒŗí!ĶĺĎŌõĽıĶĨŊěě«ĹĢġĴ
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1.Background
1.Background
1.Backgroundīĩ¡¶ēTùÛĨħķċ

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H¥ĻÏªěvŌĂīĴÒčÃĹF)ĬňıłěM³®MĵĻ®MTĤÛÞÃĹĈÝĩŉĴĢņĭÁºĊnÖºÒ
ĒĵĊ2;ē+åęģF7ĂĨ.ĶÉİbÛēďĶĊ×ß¦Ļ¶Đģ±ě+ĹH¥¼DŌu{ĵĥĸġĜ
ě+ĹH¥¼DŌu{ĵĥĸġĜ
ÁºĊnÖºÒ
ĒĵĊ2;ē+åęģF7ĂĨ.ĶÉİbÛēďĶĊ×ß¦Ļ¶Đģ±ĨđĖķF³BĻouěķėĥēe'ĤďķċĨđĖķF³BĻouěķėĥēe'ĤďķċĞėĤĊčF³BĩouĨđĖķ}ęĐ0Þ(lĩsĎĥč=¡&ĥĩìĨĴķöXĩF³ÌÃětæÃàģņě3=Ĥ,õĪĴH¥¦8ēĹ/Ň×ŁgëĤĠŇěçï®Ō¿ġĴºĞėĤĊčF³BĩouĨđĖķ}ęĐ0Þ(lĩsĎĥč=¡&ĥĩìĨĴķöXĩF³ÌÃětæÃàģņě3=Ĥ,õĪĴH¥¦8ēĹ/Ň×ŁgëĤĠŇěçï®Ō¿ġĴºBĩâĎĻ¾Åĩ»ºĥěķċĹĢħňH¥¼DŌu{ĬňĨĶĤj(ĵĠňĜBĩâĎĻ¾Åĩ»ºĥěķċĹĢħňH¥¼DŌu{ĬňĨĶĤj(ĵĠňĜįĨĵěĞH¥¼Dĺu{ĹĢħňĪġ1î)r¨ĺyğĶĞ?©'Ķĺ¤üĹŅňć\ĺH¥¼įĨĵěĞH¥¼Dĺu{ĹĢħňĪġ1î)r¨ĺyğĶĞ?©'Ķĺ¤üĹŅňć\ĺH¥¼DĺòğŌÉÑĺÄÃĶĬňĜDĺòğŌÉÑĺÄÃĶĬňĜ
3.Result

2.Methodology
2.Methodology
2.Methodology
2.Methodology

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3.Result
3.Result
3.Result))** ANGANG
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ůŕŰŞŰD.C.

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Figure 3ĚRGBťŜŤ
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(2013/09average10km!10kmaverage10km!10kmsizeofofofdata)
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1.5

Figure 2ĉ2001\Ţ2010\ĩ¸60öXĩ{Y:ANGFigureFigure2Ě2001`Ŷ2010`ĺÁ60ć\ĺ]<Figure2ĉ2001\Ţ2010\ĩ¸60öXĩ{Y:2Ě2001`Ŷ2010`ĺÁ60ć\ĺ]<2004\1Ţ2013\9įĤĩAODŝ

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Linear (R!R)
Linear (G!G)

0-50

2004/012004/042004/072004/102005/012005/042005/072005/102006/012006/042006/072006/102007/012007/042007/072007/102008/012008/042008/072008/102009/012009/042009/072009/102010/012010/042010/072010/102011/012011/042011/072011/102012/012012/042012/072012/102013/012013/042013/07-

y = -0.0977x + 5.8995
y = 0.0282x - 1.7029
y = -0.2049x + 12.375

ďķÄ^öXē¹SěķĥĊ
¹Sñ;ć]ĕ{ ÂUā=ĘaĦÂUā=ĘaĦ
F³BD(ĥöXĩ¹S^ĪKĨħķďķÄ^öXē¹SěķĥĊ

ĠňÐbć\ĤÂUĬňĶě
ĠňÐbć\ĤÂUĬňĶě
F³BD(ĥöXĩ¹SH¥¼DF)Ķć\ĺÂUH¥¼DF)Ķć\ĺÂU^ĪKĨħķbĻMĹĸňbĻMĹĸň

0.5



0.3

Ý
Ĉ2004\10ß¦ûH

ę2004`10ï®ČJ
ę2004`10ï®ČJOMI-NO2ŋŞň0.2

ûHEURO;OMI-NO2ŝŲŚOMI-NO2ŝŲŚ

20122011

2010

2009

2008

2007

2006

2005

2004

2003

2002

2001

2000

1999

1998;ş) Š ;EU
=ų*EU
=ų* ŴŴ =
=EUûHş) ĻþĕŠÝ ûH Ýų*í!ČJ
 í!ČJí!ČJų* ŌďĦŴŌďĦŴí!ČJ
Ý ûHí!ČJí!ČJ199719960)
2013

0.1

Figure6ĉ Ø;ĨđĖķï\ĩÔ&ëNOxÝ3500035000'""""""&

y = -25.973x+ 27007y = -23.763x+ 8514.9

Mg/m^2

y = -13.64x + 5558.7

30000®%""""""&%$+#$#%&+""""""&!"#$%""&%%(#"*#&('"**""&+"%($""&!)!'+""&

北京&Figure7ĉ ŝ£ŝ)-0.435000

ŞFŞ[>ŞP

20,077

20,077

20,077

5.Future works

5.Future
5.Futureworks
5.Futureworks
works

21,962


Mg/m^2

29,115
29,115
29,11521,962

21,962

21,962

Figure8ĉ ĩ2004\10Ţ2013\12ĩNO2şà^30kmŠ
y = -33.447x+ 29115
y = -66.692x + 10213

1%/\¥Qy = 41.582x + 6543.2

1%/\¥Q
1%1%/`/`­
­SS

Figure10ĉ)

y = 14.206x + 26995

35000
30000
25000

y = -28.203x + 7268.6
y = 1.6521x + 6740.6

26,99

520000Figure8ĉĩ2004\10Ţ2013\12ĩNO2şà^30kmŠ
27,810
Figure8Ěĺ2004`10Ŷ2013`12ĺNO2ųðb30kmŴ
Figure8Ě 15000
ĺ2004`10Ŷ2013`12ĺNO2ųðb30kmŴ
0.6%/\C$

025,461
25,461

25,461

0.33%/%\¥­QS33%//``­
S0ŝľļŚŇŘĩ®hĻÕĨDtěķėĥĤĊF³BĻ%ŝMODISĨđĖķAODĥANGĩxĻĊºĨ0Þ(ěķėĥĨj#ęĠ
AERONETş=ß¦ŠŋŞňĤÚJęĠħķ
Figure9ĉ£ĩ2004\10Ţ2013\12ĩNO2şà^30kmŠŝöXĩF³BD(Ļj(ęģĊKúºĨĵĒĨ
Figure9Ě«ĺ2004`10Ŷ2013`12ĺNO2ųðb30kmŴ
Figure9Ě«ĺ2004`10Ŷ2013`12ĺNO2ųðb30kmŴęĠ
ŝCO2ĊVOCşv¹f(3­ŠħĦĊ¾ÅĤ
ŝ¹Sñ;ĩöXĪÊ¤¹SĥF³Bg(jĩmĺħĒġĠF­èĲÑięĠĊF³BýĪ{ęģĐķ~Ċô;ĩöXĪÊ¤¹SĥĊÊ¤¹SĊ³BÝ ĩýfĩĊâŝľļŚŇŘĩ®hĻÕĨDtěķėĥĤĊF³BĻ%F³Bg(jĩ¥Q"3ēĭĮ4ĤďķėĥĻ ŝMODISĨđĖķAODĥANGĩxĻĊŝ×ß¦ŋŞňĒĵĩÔ&ë1|ĩðrKĳ
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űć\ĺH¥¼DF)Ōp)ĪĴěMċÃĹņģĹ
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ęĠ

4.Conclusion
4.Conclusion
4.Conclusion

30,241

30,241

30,24101%/\¥Q

Figure9ĉ£ĩ2004\10Ţ2013\12ĩNO2şà^30kmŠ
1%/`­S1%/`­S

4.Conclusion

05000

2008/012008/032008/052008/072008/092008/112009/012009/032009/052009/072009/092009/112010/012010/032010/052010/072010/092010/112011/012011/032011/052011/072011/092011/112012/012012/032012/052012/072012/092012/112013/012013/032013/052013/072013/092013/11-

25,994

25,994

25,994

0.2

5000

5000

00.1

3%/\¥Q

5000

5000

0

Figure5ĉF³Bg(jĩD(úĥöXĩGDPC$¯ĩ{Y:Figure5ĚH¥¼Dl)pĺF)ċĶć\ĺGDPE%¸ĺ]<
Figure5ĚH¥¼Dl)pĺF)ċĶć\ĺGDPE%¸ĺ]<

1000010000-0.1

30,241


10000

10000

27,007

27,007

27,007

20,077-0.2

RşF³Bg(jŠĩD(ú10000

Figure7ĉ ŝ£ŝ)20000
Ø;ĨđĖķï\ĩÔ&ëNOxÝ
Figure6ĉ
20000 27,007

25,994®
25,461
 Figure7ĚFigure7Ě ű«ű*ű«ű* ĺÿ`ĺâ'û2ĺxÏĺÿ`ĺâ'û2ĺxÏ
Figure6Ěè=ĹĢħňÿ`ĺâ'ûNOxí!·§
Figure6Ěè=ĹĢħňÿ`ĺâ'ûNOxí!·§
15000
15000
15000
1%/\¥Q


-0.3

Dhaka
Mumbai
Kolkata

Mg/m^2

y = 4.9247x + 6190.9

30000

Buenos Aires

Figure5ĉF³Bg(jĩD(úĥöXĩGDPC$¯ĩ{Y:ô;ćĒkĨÿ RşF³Bg(jŠĄ=ĘģqĹĐĄ=ĘģqĹĐy =RųH¥¼Dl)pŴ-74.583x+ 30241
RųH¥¼Dl)pŴ
y = -23.763x+ 8514.9
ĩD(úy = -12.767x +ĺF)ċ
7446.9ĺF)ċ


ŞF
ŲH
ŲH
30000
Ş[>
Ų_@
Ų_@
25000
ŞP

ŲR

29,115ŲR
ĩï\ĩÔ&ë1|ĩrÃ
20000

35000

New DeliSeoul2.000
Moscow
ManilaNewYork
SaoPaulo
Istanbul
NagoyaLos
RioTehranCairo
Osaka
Mexico Tokyo
City Paris Lagos
1.000
London15000

東京&

ĩï\ĩÔ&ë1|ĩrÃy = -74.777x+ 25461
y = -23.763x + 8514.9

20000

上海&"&(()+'""&+""%&+"")&+""$&+""#&+""'&+""*&+"("&+"((&+"(+&2500025000%'(!"""&

JakartaBangkok
3.000
Karachi

0.000
-0.5

30000
F³BD(ĥöXĩ¹S^Ļì
H¥¼DF)Ķć\ĺÂUbŌ¤üH¥¼DF)Ķć\ĺÂUbŌ¤ü
25000'**((""&;ş)Š ;
EUFigure4ĉĨđĖķRGBjÊ\D((LAT:35°45N,LON:139°39E)
Figure4ĚĹĢħňRGBpØ`F)(LAT:35°45N,LON:139°39E)))#*)""&
Figure4ĚĹĢħňRGBpØ`F)(LAT:35°45N,LON:139°39E)
$""""""&ş) ĻþĕŠ ļŔŗŀÝ ûH Ý ûH

0.4

Lima

4.000

ô;ćĒkĨÿF³BD(ĥöXĩ¹S^Ļì("""""""&1|OMI-NO2ŋŞň
Shanghai

2004/102004/122005/022005/042005/062005/082005/102005/122006/022006/042006/062006/082006/102006/122007/022007/042007/062007/082007/102007/122008/022008/042008/062008/082008/102008/122009/022009/042009/062009/082009/102009/122010/022010/042010/062010/082010/102010/122011/022011/042011/062011/082011/102011/122012/022012/042012/062012/082012/102012/122013/022013/042013/062013/082013/102013/12-

Ĉ2004\10ß¦ûH

5.000

Beijing

Figure 4ĉ ĨđĖķRGBjÊ\D((LAT:35°45N,LON:139°39E)
0.6 NOx(g/km)

6.000¹Sñ;ć]ĕ{50-100œŜŏĽŧŰŢŎ7.000ŧŰŢŎ0Ĉęę
10\ĩ2RGB[>Ēĵĩ10`ĺ3RGB_@ģņĺ10`ĺ3RGB_@ģņĺWĻőŚŊŌ
[ŌŤŮŜŞ[ŌŤŮŜŞ100œŜŏĽ

0.5ANG[>ĻRGBĨDtĈ
2004\1Ţ2013\9įĤĩAODŝ2004`1Ŷ2013`9ŀĵĺAODű
2004`1Ŷ2013`9ŀĵĺAODű
10\ĩ2RGB[>ĒĵĩANG[>ĻRGBĨDtANG_@ŌRGBĹFzANG_@ŌRGBĹFzWĻőŚŊŌ

Ê\D(Ø`F)Ø`F)

ŉŊŀśŜőśŜő

27,810
27,810
27,81026,9926,99
26,99555

28,017

2008/012008/032008/052008/072008/092008/112009/012009/032009/052009/072009/092009/112010/012010/032010/052010/072010/092010/112011/012011/032011/052011/072011/092011/112012/012012/032012/052012/072012/092012/112013/012013/032013/052013/072013/092013/11-AOD
AOD
AOD

Ê\D(ŉŊŀĩ2004\10Ţ2013\12ĩNO2şà^30kmŠ$
0.6%/\CE%
0.0.6%/`E%6%/`

28,017

28,017

28,017çí¾ÅĪĊGreen Network of Excellence – Environmental Information (Grene – ei)ĩywĻ/ĖģLĘĸĠ
ReferenceŝÂĭĒš2000-2010\ĩļŅļ?ĨđĖķľļŚŇŘIº,ĘĩÊ\D(ĊFæ¨æÿ99ĊPP259Ċ2011Figure10ĉ) ĩ2004\10Ţ2013\12ĩNO2şà^30kmŠŝ)UcĭĒšFľļŚŇŘĩ¦ß¦Ċ²VIÎ3¾Åk¾ÅA614Ċ
PP13-24Ċ2002
Figure10Ě*ĺ2004`10Ŷ2013`12ĺNO2ųðb30kmŴ
Figure10Ě*ĺ2004`10Ŷ2013`12ĺNO2ųðb30kmŴ
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Reference
Reference
ICHOKU, ET AT ALšA SPATIO-TEMPORAL APPROACH FOR GLOBAL VALIDATION AND ANALYSIS OF MODIS AEROSOL PRODUCTSĊGEOPHYSICALŝCHARLES
ReferenceŝÂĭĒš2000-2010\ĩļŅļ?ĨđĖķľļŚŇŘIº,ĘĩÊ\D(ĊFæ¨æÿ99Ċ
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ESEARCHLETTERSĊVOLUME 29ĊISSUE 12ĊPPMOD1-1–MOD1-4Ċ2002PPűÍľģŵ2000-2010`ĺōŖōAĹĢħňŏōŮřŬKÃ-ĩĺØ`F)ěHö°öĐ99ě
PP259ě2011259ě2011ŝ)UcĭĒšFľļŚŇŘĩ¦ß¦Ċ²VIÎ3¾Åk¾ÅA614Ċ
PP13-24Ċ2002
ENASA,ET
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ALGORITHMFORAEROSOLRETRIEVALAGAINSTGLOBALLY
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ŝ@ĭĒš2002\ĩÆĩ=?ĨĴķľŞŚŇŘIº,ĘĥĿŜŃņŌŚŞœ|ĩõĐĨĢĐģĊFæ¨æÿ84Ċ
OBSERVATIONS AND COMPARISON WITH MODIS AEROSOL PRODUCTĊATMOSPHERIC RESEARCHĊVOLUMES 132–133ĊPP102-113Ċ2013űBľģŵ2002`ĺÒĺ?AĹŅňŏŲŮřŬKÃ-ĩĶŐŰŔŗŞŮŲŧĺąġĹĳġĴěHö°öĐ84ěPP268ě

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ŝBű.ÀĕĉľģŵōŖōĹĢħňUCSELA, E. J. ,ET AT AL šA NEW STRATOSPHERICAND TROPOSPHERIC NO2 RETRIEVAL ALGORITHM FOR NADIR-VIEWINGSATELLITE INSTRUMENTS:
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For
further
details,
contact:
Aya
Fujikawa,Ce-506,
6-1,
Komaba4-chome,Meguro,Tokyo
153-8505
JAPAN
(URL:
http://wtlab.iis.u-tokyo.ac.jp/
E-mail:ayafuji@iis.u-tokyo.ac.jp)
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