Annual Report 2017, Volume 23࠯঺ ᵐᵗ ࠰ࡇҘᓶ‫ܖٻ‬
࿢‫ؾ‬ἼἴὊἚἍὅἉὅἂᄂᆮἍὅἑὊ
࠰‫إ‬ίᇹ ᵐᵑ ӭὸɉȲɛɅ
āಫᅝ൥ߔࠞࣃ˂ʺĜʠʓˋʏˋʈॸ࢞ʓˋʗĜĪDFSfTīɉĂ೔ਡࢼວᆀᅙĆࢼວॸ࢞ࢪ๘Ʌ໻ฤȯɦɀȥɣǔ༃ȦॄȻɘȱȹăࢪ๘ɂȱɀɈᄜߠɉĂĶॸ࢞ଌಕĂॸ࢞౉ஈĂॸ࢞ࠞࣃຑɅ௎ɣȱĂຎ޶డಃૈ
ಡɈᄆโȹɥॸ࢞ɈယᄘɅȤȫɥෂ߇โɄॸ࢞ૈಡɁȜɥɂ໻ɛɣɦɥȭɂĂɘȹĂࢼວᆀᅙĆࢼວॸ࢞ɅྼᅟɄૈಡĂಡྩ࢒ɍ૝ᆧຑɬྩȢɀȞɥȭɂķɂࡤฤȯɦɀȞɘȳăDFSfT ɁɉĂ௫ࡥɈᄜߠɬ‫ݪ‬ȹȳȹɛɅĂ‫ݚڬ‬ɈǏȾɈູ෡ɬ෈ɂȱɀߤ຦ɬమɛɀȧɘȱȹă
Ǎą!!ʟĜʗĆʯˁʛʠʭʁĜʸɈ৭භĈ߂ହɈ˂ʺĜʠʓˋʏˋʈʟĜʗȤɢɍஐᆅĆ‫ސ‬಑ɈʏʑʞʸɬอࢷȳɥɂɂɜɅĂȭɦɣɈʟĜʗɞʏʑʞʸɬᆀᅙȱȹࢼວॸ࢞ɬଌૈȳɥȭɂ
ǎą!!˂ʺĜʠʓˋʏˋʈ੕ಪ඘ॸ࢞ɈଌૈĈ˂ʺĜʠʓˋʏˋʈɈယᄘɬۜȽෟɥ੕ಪ඘Ɉॸ࢞ɬଌૈȳɥȭɂ
Ǐą!!ɺʐɺɅȤȫɥॸ࢞Ɉࢪ๘‫ݛ‬ĈɺʐɺɅȤȫɥ˂ʺĜʠʓˋʏˋʈɈॸ࢞Ȥɢɍ࣋‫ۋ‬Ɉʧʮ࡙༑ɬ
‫ݪ‬ȹȳȭɂĪဦင‫ߔݨ‬ௐɅɢɥʷʛʏʿˋɈ੔ฤࡹīāࢪ๘ߤ຦Ɉ൦Ǐࡖǎ༃ᄆɅȜȹɥ਱༃๱Ʌຶɣɦȹ౰‫ݪ‬Ɉ‫ޱ‬ᅟɉ‫ݚڬ‬ɈฆɤɁȳă৊ၕɅɢɤो5:ॣĪਡ
໘54ॣĂਡ੫ǒॣīɈࢼວᆀᅙॸ࢞ɬ഼൥ߔɞॸ࡙࢞࠲ɂଌૈȱĂȭɦɣɈ౰‫ݪ‬ɬĂိ౰41༃ǎॢɅާ੓ȱȹĶ൦31‫ ޑ‬DFSfT ࠞࣃ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸķɅȤȞɀĂ23ॣɈ৏ຢཡ࿍ĂȤɢɍ36ॣɈʵʑʗĜཡ࿍ɂȱɀ௘‫ގ‬ȞȹȱɘȱȹăāɘȹĂDFSfT Ȧอࢷȳɥಇો࡜௣‫ܒ‬౳ĶɌɘɩɤķɈʟĜʗɉਡ໘ެɈഽȩɈॸ࢞ଞɅᆀᅙȯɦĂိ౰
3:༃๱ɜߔެȥɣ26-:16-25:ॣɈʘɾˋ˅ĜʡౘɬࡥሃȱɘȱȹăູɅĂိ౰39༃๱ɅɌɘɩɤǔਖɈʟĜʗɬĂʾĜʎȦ઴Ȟ‫ڹ‬ȞɢȠɅ౼დࡐ‫ݝ‬ၒ౷ȱँवʈ˂ʛʡɁอࢷȳɥʏʑʞʸɬ৭භȱɀȥɣɉĂʟĜʗอࢷౘɬ൥ဍɅ఑Ɋȳय़‫ݪ‬ɂɄȽɀȞɘȳăā‫ܟ‬ှ༜ਗ౰ާ৏˄ĜʘĜɈާཡɉĂຎʓˋʗĜɅȤȫɥ຾૵Ɉ‫୹ࡳߔݨ‬Ɉ๐ާɁȜɤĂਡ໘ެɈ࡙࠲ɂ
ࢼວॸ࢞ɬమɛɀȞɘȳăູɅĂိ౰3:༃๱ɅɉĂਂऋ࡙຃੪ɈǴʨˋʡȤɢɍǟʨˋʡɈ DQ.TBS ɬ૚੼ȱɀɼˋʡʥʏɺɂɈࢼວɅɢɥਂऋ࡙ࠫപଌঅɁ஑‫ކ‬ജɬଲຶȳɥȭɂɅɜ౰োȞȹȱɘȱȹăȭɦɣɈ౰‫ݪ‬ɉĂDFSfT ȦɺʐɺɈࢪ๘ɂȱɀɈߤ຦ɬஏ෮ɅమɛɀȞɥ௠ɂȞȢɥɂૃȞɘȳăāȯɣɅ DFSfT ɁɉĂ˂ʺĜʠʓˋʏˋʈɬଜ‫ޏ‬Ɉ‫ݻ‬൨ɬ‫ސ‬ड़ȱĂଜ‫ޏ‬ɅଌകȳɥȹɛɈॸ࢞ɬమɛɀ
ȧɘȱȹăࢪ๘ߤ຦ȥɣ౺ɘɦȹ౰‫ݪ‬Ɉ‫ێ‬ȾɂȱɀĂຎʓˋʗĜɈஂ࣋ୂɬൣ࿍ଞɂȳɥʈ˃ĜʯɈॸ࢞‫ݻ‬൨Ĩ఍ᆧ‫ڤ‬೔။௩ɬᄆૄȱȹ࡜েဿ຦ไܾ઄ɂȱɀɈ༔ࣞ။ঃɅȤȫɥഹޮ࿎‫ݟ‬଴ၭɈ৭භɂଜ‫ޏ‬ଌകĩȦĶණ࢝ࡤჹ‫ݻ‬൨ൎܾਡ੫‫ࢾ୹ࡳߔݨ‬ᆵʯ˅ʈˁʸĪTBUSFQTīķɈႨ߆ॸ࢞ɅమɭȺȭɂȦࢫȬɣɦɘȳăႨॸ࢞Ɉ੕୒ᄆ࿈ɉĂ࡜েဿ຦ຑɅ཮Ƞ༔ࣞ౺દଞɈॄ੟โഹޮɬॎঌȳɥȹɛɈ༔ࣞ။ঃ౫๱Ɉߊ
ᆏɅ৐ȫɀĂɼˋʡʥʏɺɅȤȞɀ˂ʺĜʠʓˋʏˋʈɅɢɥഹޮ࿎‫ݟ‬ʏʑʞʸɬଜ‫ޏ‬ଌകȳɥȭɂɅȜɤɘȳăāɘȹĂိ౰38༃๱ȥɣާ઻ȱȹਡ੫โɄᇦ़ॸ࢞ʯ˅ʈˁʸ Gvuvsf! Fbsui Ɉ๐ާɜ˂ʺĜʠʓˋʏˋ
ʈɈଜ‫ޏ‬ଌകɈ૚əɈ‫ێ‬ȾɂȱɀࢫȬɣɦɘȳăGvuvsf! Fbsui ɉĂߔ‫ޢ‬໘Ɉᇦ़ɈəɄɣȴଜ‫ޏ‬ɂɈᇦ़ɅɢȽɀଜ‫ޏ‬Ɉਲ໧Ʉ‫ݻ‬൨Ʌଲɤ೨ɚɂȞȠఛȹɄਡ੫ᇦ़ʯ˅ʈˁʸɁĂಫᅝ൥ߔɜ೔ߔɈᇦ़Ʌɢɤ
Gvuvsf! Fbsui Ʌଲɤ೨ɚȭɂɂɄɤɘȱȹăຎʓˋʗĜȦࠎૢ࡙࠲ɂȱɀ Gvuvsf! Fbsui ໲ႨʋˋʕĜʏɺʸɅ‫ݡ‬ძȳɥȭɂɂɄɤĂߤ຦ɬާ઻ȱɀȞɘȳăိ౰3:༃ǏॢɅۜȧറȧိ౰41༃ǎॢɅɉĂຎʓˋʗĜȦෂఘɂɄȽɀಫᅝ൥ߔ Gvuvsf! Fbsui! ʏˋʵʐɾʸɬާ੓ȞȹȱɘȱȹăȷɈߤ຦ɉĂɘȺ஗Ʌ୊
ȞȹɊȥɤɁȳȦĂDFSfT Ɉᄆૄȳ˂ʺĜʠʓˋʏˋʈɬଜ‫ޏ‬ɅଌകȳɥɂȞȠ‫ێ‬ȾɈၫ৐ɬ૲ȳɜɈɂȞȢɘȳăāႨ༃ၡɉ DFSfT Ȧိ౰3:༃๱Ʌ਄Ƚȹߤ຦ĪDFSfT ૵బɅɢɥʯ˅ʈˁʸॸ࢞Ăࢼວᆀᅙॸ࢞Ăॸ࢞౰‫ݪ‬Ăਡ੫ৄᆔĂ࣋‫ߤۋ‬຦Ăଜ‫ޏ‬ਇॷĂᅅધĂȷɈ഼īɬ교โɅࡥሃȱĂ૵জ࿎‫ݟ‬ȳɥɂɂɜɅެငɈ
࠲बଞȥɣȮૄຩɬȞȹȺȩȹɛɈ૝ᆧɂȱɀɜ၂ୠȞȹȱɘȱȹă࠲बȳɥ‫ޣ‬ᅕၫɅȮ਒ᅿȞȹȺȧĂ਱ষɜȮૄຩȮૅ‫ܧ‬ɬ૞ɤɘȳɢȠȤࡄȞడȱ௫Ȭɘȳă
ိ౰41༃Ǐॢಫᅝ൥ߔࠞࣃ˂ʺĜʠʓˋʏˋʈॸ࢞ʓˋʗĜʓˋʗĜෳāā‫ڤ‬ā݊ā೑āဦ

ᄆā૫
ɉȲɛɅ
\2^! ʯ˅ʈˁʸ်ॸ࢞ߤ຦ĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ
āā2/2/āʯ˅ʈˁʸǍćಪ඘โ˂ʺĜʠʓˋʏˋʈʯ˅ʈˁʸāā2/3/āʯ˅ʈˁʸǎć௶ၡຕਗʯ˅ʈˁʸāā2/4/āʯ˅ʈˁʸǏć‫ܒ‬౳ᆀᅙ਒๱‫ݛ‬ʯ˅ʈˁʸ2\3^! ࢼວᆀᅙॸ࢞ĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ 4:
āā3/2/āࢼວᆀᅙॸ࢞‫ޱ‬ᅟ
āā3/3/āࢼວᆀᅙʯ˅ʈˁʸॸ࢞Ɉ௢੧
\4^! ॸ࢞౰‫ݪ‬Ɉ৊࿍ĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ 99
āā4/2/āॸ࢞ሄဦɄɃ
āā4/3/āߔ‫ޏ‬Ćॸ࢞‫ޏ‬ɁɈཡ࿍\5^! ି௤ĆާཡଌಕຑĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ218
āā5/2/āି௤āā5/3/āູࢮĪ୸ࡄෂ࠸ɚī
āā5/4/āާཡଌಕຑ
\6^! ਡ੫ৄᆔĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ21:!
āā6/2/āެਡఱିȫ໴ɦ
āā6/3/ā࣋ۙɈ‫ެޠ‬๧ਂ
\7^! ࣋‫ߤۋ‬຦ĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ22:
āā7/2/āਆࡹĪߔငĆ൥ߔۡī
āā7/3/āሄဦ൨ᄆ௘‫ގ‬
āā7/4/āိ౰3:༃๱ߔ౺ౘ໘ᄟ
\8^! ଜ‫ߤۋ࣋ޏ‬຦Ćଜ‫ޏ‬ਇॷĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ234\9^! ʓˋʗĜɈ਄ૢĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ237
āā9/2/āʓˋʗĜ଱੓Ɉʏˋʵʐɾʸāā9/3/āਡ੫ʯ˅ʈˁʸĨGvuvsf!FbsuiĩɒɈଲɤ೨ə
\:^! ଱ᅟॸ࢞ಡྩĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ23:
āā:/2/ā‫ܒ‬౳ʟĜʗିఒʏʑʞʸāā:/3/ā๝༜ჟࣗଆ
āā:/4/ā൥࡜ʟĜʗଲຶˁɼʘĜക඲
āā:/5/āၪଗࠫപʥʛʠˇĜʇૈಡĪTLZOFUīāā:/6/āȷɈ഼ोപക඲Ăʕʭʠɾʀɺ
\21^ ိ౰3:༃๱ोધ࡙ʟĜʗʱĜʑ଱ᅟࣞო! ĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ243
āā21/2/ā‫ޱ‬ᅟāā21/3/ā3128༃๱ोધ࡙ʟĜʗʱĜʑȤɢɍʟĜʗࠣᆅૅ‫ܧ‬ଆ଱ᅟࣞო
āā21/4/āိ౰3:Ī3128ī༃๱ʟĜʗʘɾˋ˅Ĝʡଌಕ\22^ ိ౰3:༃๱ DFSfT ʣʽĜʒ˄ʗĜʰʛʡˁɼˋȤɢɍʣʽĜʑ˂˂Ĝʑ!ĤĤĤĤĤĤĤĤĤĤĤĤĤ246\23^ ೨ఉĆ‫܄ۿ‬ĆఱૢĆᅅધ! ĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤĤ248
āā23/2/āʓˋʗĜɈ৭౰
āā23/3/āఊۙშၛāā23/4/āࢪ๘‫ޏۙڳ܄ۿ‬āā23/5/āߔ໘߂ହ‫ۙڳޏۙڳ‬ȤɢɍʓˋʗĜ໘‫ޏۙڳ‬āā23/6/āᅅધāā23/7/āެင૝ࣸ‫ێ‬ᅿ༓ⴥ኱Ꮫ⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊㻯㼑㼚㼠㼑㼞㻌㼒㼛㼞㻌㻱㼚㼢㼕㼞㼛㼚㼙㼑㼚㼠㼍㼘㻌㻾㼑㼙㼛㼠㼑㻌㻿㼑㼚㼟㼕㼚㼓㻘㻯㼔㼕㼎㼍㻌㼁㼚㼢㼑㼞㼟㼕㼠㼥Ī‫ޱ‬ᅟī
āਡᆏ൥ߔၭఱಫᅝ൥ߔࠞࣃ˂ʺĜʠʓˋʏˋʈॸ࢞ʓˋʗĜĪDFSfTīɉĂ൦໩ࡖෂࡖᄆ࿈Ćෂࡖो‫ކ‬ɬཡ๐ȳɓȩĂ3127༃ǐॢȥɣɈ൦જࡖɅȤȫɥᄆ࿈Ćो‫ކ‬Ɂɉࢪ๘੔໻ฤɬିȫĂȯɣɅǏȾɈ୭๘‫ݻ‬൨ɬಡฤȱߤ຦ɬ઻ɛɘȱȹăDFSfT ɉĂ೔ਡࢼວᆀᅙɈॸ࢞ʓˋʗĜɂȱɀ2::6༃Īိ౰Ǔ༃īǐॢɅཡഫȱĂ˂ʺĜʠʓˋʏˋʈࡳ୹ɈߊᆏɂࠞࣃɒɈܾᅙɅ࠲ȳɥॸ࢞ɬඐȽɀএ੭Ʌ૖ȽɀȞɘȳăȷɈ˃ĜʜɉĂଖణĆۗઌĆ‫ކ‬ജ৙ߔɈယᄘɁɈಫᅝ൥ߔ৙ߔငɈ๙ຕɬۜȧॅȞɁ2:97༃Īூሆ72༃īɅާಡȯɦȹߔ໘ࢼວॸ࢞
ૈಡĶ‫܇‬ജߒപॸ࢞ʓˋʗĜķɁȜɤĂȭɈʓˋʗĜȦ༥ોĆ๖ࠓȯɦɀ DFSfT Ȧඞ౺ȱɘȱȹă3115༃ǐॢɈਡᆏ൥ߔ຾ᆏၭఱ‫ݛ‬ষɉĂ൦‫ࡖێ‬Ć൦໩ࡖ߂ǒ༃࠰Ɉෂࡖᄆ࿈Ćो‫ކ‬ɅȤȞɀइൌโᄆ࿈ɬฤɛĂʓˋʗĜɂȱɀຕਗ‫ݛ‬ȯɦȹ౰‫ݪ‬Ȧ౺ɘɦɥɢȠ೔ਡࢼວᆀᅙૈಡɈ࡙༑ɬ୤ଌȯȵĂȷɈၫ৐ɬცߊɅȱɘȱȹăāɘȹĂ3128༃ǐॢɅɉᆅ৙ृ൥ߔۡ࣋‫ۋ‬೨ఉɈຕਗɈɜɂĶᅃਗᆅ৙ߔ࿬ķȦఛಡȯɦĂ˂ʺĜʠʓˋʏˋ
ʈʋĜʑȦඞ౺ȱɘȱȹăĪ೨ఉూīāDFSfT Ɉ೨ఉɉ‫ࡥݚ‬ɈూɈฆɤɁȳăā࣋ۙɉॸ࢞ᆴ‫ۊ‬Ʌಔɬ඲ȩɂࢼɅĂȷɦȸɦ઄ฤȯɦȹॸ࢞ʯ˅ʈˁʸɅ୦Ƚɀॸ࢞ɬమɛɀȞɘȳăᣐⅬ㐠Ⴀጤဨ఍
㻿㼠㼑㼑㼞㼕㼚㼓㻌㻯㼛㼙㼙㼕㼠㼠㼑㼑䝸䝰䞊䝖䝉䞁䝅䞁䜾ᇶ┙◊✲㡿ᇦ㻲㼡㼚㼐㼍㼙㼑㼚㼠㼍㼘㻌㻲㼕㼑㼘㼐㻌㼛㼒㻌㻾㼑㼙㼛㼠㼑㻌㻿㼑㼚㼟㼕㼚㼓䝸䝰䞊䝖䝉䞁䝅䞁䜾」ྜ◊✲㡿ᇦ㻵㼚㼠㼑㼓㼞㼍㼠㼑㼐㻌㻲㼕㼑㼘㼐㻌㼛㼒㻌㻾㼑㼙㼛㼠㼑㻌㻿㼑㼚㼟㼕㼚㼓䝉䞁䝍䞊㛗㻰㼕㼞㼑㼏㼠㼛㼞
ᩍဨ఍㆟㻿㼠㼍㼒㼒㻌㻹㼑㼑㼠㼕㼚㼓⾨ᫍ䝕䞊䝍ฎ⌮ᐊ㻿㼑㼏㼠㼕㼛㼚㻌㼒㼛㼞㻌㻿㼍㼠㼑㼘㼘㼕㼠㼑㻌㻰㼍㼠㼍㻌㻼㼞㼛㼏㼑㼟㼟㼕㼚㼓◊✲䝥䝻䜾䝷䝮㻌䠍ࠥ䠏㻾㼑㼟㼑㼍㼞㼏㼔㻌㻼㼞㼛㼓㼞㼍㼙㼟㻌㻝㻙㻟ᕤᏛ⣔஦ົ䝉䞁䝍䞊㻱㼚㼓㼕㼚㼑㼑㼞㼕㼚㼓㻌㻭㼐㼙㼕㼚㼕㼟㼠㼞㼍㼠㼕㼛㼚㻌㻯㼑㼚㼠㼑㼞Īॸ࢞ʯ˅ʈˁʸǍġǏīǍīāಪ඘โ˂ʺĜʠʓˋʏˋʈʯ˅ʈˁʸǎīā௶ၡຕਗʯ˅ʈˁʸǏīā‫ܒ‬౳ᆀᅙ਒๱‫ݛ‬ʯ˅ʈˁʸ䝉䞁䝍䞊ᨭ᥼ಀ
㻯㼑㼚㼠㼑㼞㼟㻌㻿㼡㼜㼜㼛㼞㼠ĮǍįāʯ˅ʈˁʸ်ॸ࢞ߤ຦
2/2/āʯ˅ʈˁʸǍćಪ඘โ˂ʺĜʠʓˋʏˋʈʯ˅ʈˁʸĮ‫ޱ‬ᅟį
˂ʺĜʠʓˋʏˋʈࡳ୹Ʌɢɥණ࢝ࠞࣃॸ࢞Ɉమ๐ɂɂɜɅĂࡕശɈࠫപၫၭɈঔ‫ޢ‬ȦȱɊȱɊᄎ൨ɂɄȽɀ
ȞɥăႨʯ˅ʈˁʸɁɉĂȭɦɘɁ୥ယɄࠫപȦਲ໧ɁȜȽȹʗĜʊʛʠɅȾȞɀĂఛȹɄ˂ʺĜʠʓˋʏˋʈ
ʓˋʍɂɺ˃ʌ˂ʒʸɬާཡȳɥȭɂɅɢȽɀఛࣟჶɬಓ࣡โɅಜɤ൱ȞɀȞȩăູɅĂ‫ݢ‬૗৉ȥɣʶɼʇ˅༜
Ʌ૖ɥঢ়Ȟ༜ෳ‫ۊ‬ɁɈ˂ʺĜʠʓˋʏˋʈ௶ၡɈຕਗɂߤᅙĂ૫౦ൣழळ‫ܒ‬౳ʓˋʍɅɢɥ൥࡜௶ၡɂఆ౺௶ၡ
ɬ࠸ɚʈ˅Ĝʨ˃Ʉࠞࣃ௶ၡɈଲຶɄɃɈߤᅙɬฆȲɀĂಪ඘โ˂ʺĜʠʓˋʏˋʈɈ೯౺ɂఛȹɄࠞࣃ௶ၡɈ
೯୸ɬɛȰȳă
ಪ඘โ˂ʺĜʠʓˋʏˋʈʯ˅ʈˁʸɈ൦Ǐࡖෂࡖᄆ࿈Ćෂࡖो‫࠰ࡖކ‬Īိ౰39Ľ44༃๱īɅȤȫɥॸ࢞‫ݻ‬൨Ȥɢɍൿ౰ᄆ࿈ɉ‫ݚڬ‬ɈฆɤɁȜɥă൦ǎࡖɅȤȞɀଌૈȱȹॸ࢞ʞĜʶɈູଋɅࡊȿȩʯ˅ʈˁʸॸ࢞ɬཡ๐ȯȵĂȯɣɅ୭๘‫ݻ‬൨ɬಡฤȱȹăĮෂࡖो‫࠰ࡖކ‬Ɉॸ࢞‫ݻ‬൨Ȥɢɍൿ౰ᄆ࿈įśॸ࢞‫ݻ‬൨Ć! ʀɺ˅ʖ˃Ă‫܀‬Ă‫ݗ‬ඤ‫࡜ݛ‬ൌĂȤɢɍܸಹ࡜ൌɬൎ௣ɂȱȹఛȱȞ൥࡜˂ʺĜʠʓˋʏˋʈ଴ၭɂȱɀĂ૵೓৉঍ȤɢɍഽᅕɄఱ৙৉঍ɬᅙȞȹ਒ʑʲʇʠ˃ယ‫ސ‬༑ࠫപɈ‫ݢ‬༑౯ɬცɣȥɅȳɥăĆ! ঢ়‫ࠫۊ‬പĂ਒࿡๱ࠫപĂ਒ʑʲʇʠ˃ယ‫ސ‬༑ࠫപȦ‫ݢ‬༑ɄɌɘɩɤǔਖɄɃఛȱȞ‫ܒ‬౳ʟĜʗɂණ௫ࠫപʟĜʗɈຕਗᆀᅙȳɥȭɂɅɢɤ൥࡜௶ၡɂᆌ‫௶ۊ‬ၡɈယᆋɬ࠸ɚఛȱȞࠫപၫၭɈ‫ݢ‬༑౯ɬცɣȥɅȳɥăĆ! ৉ߔʓˋʍɬᅙȞȹഽߍࠫപɅɢɥʨɼʂʶʑైฤɺ˃ʌ˂ʒʸ਒๱‫ݛ‬Ʌൎȱɀࡍᅇȳɥණ௫ॳ௠ʟĜʗେୠ଴ၭɈȠȻĂఆ౺ MJEBS ɬᅙȞɀණ௫ȤɢɍऋෂȥɣɈఝᆹୃࠁ৭ഢोപ଴ၭɬߊᆏȳɥăĆ! ණ௫˂ʺĜʠʓˋʏˋʈɬߤᅙȱȹණ࢝൥࡜ࠞࣃɈၴ‫࢞ॸވ‬ɂȱɀĂఛȹɄࠫപക඲ާཡɬ਄ȠăइൌโɅɉĂാᅣ๝දऄ຦ळɈ຾૵Ɉ൥࡜ࠞࣃࠫപക඲ɬާཡȳɥăຶɣɦȹʟĜʗɂ౰‫ݪ‬ɉ৊ާȳɥăĆ! ਒ယ‫ސ‬༑˄ĜʎĜɁଲຶȯɦɥǏ૫ইʟĜʗɬߤᅙȱȹఝᆹ˂ʺĜʠʓˋʏˋʈɂʨɼʂʶʑဿ‫ݛ‬ᆲɈ༘‫ڐ‬ăȆġ ਒ࠐ๱ฝ୸ᆵɈʷ˂༜˄ĜʘɅɢɥණ࢝ࡤჹɈ‫܀‬ယ࿫ɈࠫപȤɢɍȭɈ˄Ĝʘɬߤᅙȱȹ൥࡜ෂ࿲ᄿဘଋĪਹ්ɞ‫ݴ‬ဢīɈယ࿫ोപĂྦ਄௲ୈ၃ɁɈტɈ௢੧ोപăś୭๘‫ݻ‬൨ćಪ඘ʶɼʇ˅༜˂ʺĜʠʓˋʏˋʈ
āāāāāāĪJoopwbujwf!njdspxbwf!sfnpuf!tfotjohīĆ! ࣋‫ۋ‬ĆࠞࣃĆ੠ޮࠠ૗ᅙɈჟఱਂऋ࡙Ćྦ਄࡙຃੪Ɉʶ˃ʙʨˋʡĂழळĆॎᆲɈਗ౰ާ৏˄Ĝʘʏʑʞʸɬާཡȳɥă
Ć! ʈ˅Ĝʨ˃ණ߈ဿ຦ࠫപᅙɈழळ‫ܒ‬౳຃੪ᅙਗ౰ާ৏˄ĜʘʏʑʞʸɈʀˋʐʣɺ˂ˋʈʺʟ˃ɬާཡȳɥă
Ć! BMPT.3ɞ UfssbTBS.Y ຑɈ߂ହ TBS ‫ކ‬ജɅɢɥණరĂ෿༜Ă‫ݮ‬ટĂဇ౉ޮɄɃɈ੠ޮ༘‫ڐ‬Ʌ࠲ȳɥॸ࢞ɬైమȱĂ੠ޮ༘‫ڐ‬଴ၭɈ࿈ஈ‫ݛ‬ɬᄆૄȳăĆ! ණరএ௣ɬණ߈໘ɈܾᆵୠෂɅɢɥ༟‫ޓ‬এ௣ɂȱɀɂɣȢĂȷɈஈྩ‫ݿ‬าɅȤȞɀණ५Ă൥࡜५Ă๝ᆋ५Ɂཡ౺ȳɥ๝૱࡜এ௣ɬ౷ߊɅ༘‫ڐ‬ȱĂȷɈဘᆅ࡙৭ɬ‫ސ‬ცȳɥăණ௫Ć‫ܒ‬౳ࠫപʟĜʗɬᅙȞȹ๝૱࡜โɄ
ɺʯ˅ĜʙɅɢɥණ߈ߤ຦Ɉࠠ૗ĂȞɩɊĶණ௣๏࡜ᅅၡķɬଌএȱĂঌ੠Ʌᄜᆏɀɥȭɂɬ࢞࣡Ɉᄆโɂ
ȳɥăProgram 1: Innovation in remote sensing technology and algorithm
The limitation of existing approaches has often been recognized in the course of the Earth environment
studies using remote sensing. In this program, novel sensors and algorithms are explored in order toestablish remote sensing methodologies that enable more in-depth and comprehensive analyses of various
targets including vegetation and atmosphere. In this way this program aims at the innovation of remotesensing through such activities as construction and operation of next-generation satellite sensors, and theintegration of wide spectral-range observations using optical and microwave remote sensors.

―1―Įॸ࢞໘ᅎɂိ౰3:༃๱Ɉ౰‫ݪ‬į

ş2/2/2/āζͼ·υ෨ςκȜΠΓϋΏϋΈ
ş2/2/2/2/āਗ౰ާ৏˄ĜʘĪTBSīɈާཡĪˀʍʭɹʛʠॸ࢞ଆīਗ౰ާ৏˄ĜʘĪTBSīɉഽᄆโʓˋʍɁĂ೔๏েळĂ෇ᄕɁɜࠫപɁȧɥɜɈɁȜɥă୦ᅰɈ TBS ʓˋʍɉ෸ೀှ༜ĪIIĂWWĂIWĂWIīɁĂູɅฝୈ༜ɁȜɥ M ʨˋʡɁɉ๝ᆋ೸ɅȤȫɥʭɹˁʟĜ‫ޑ‬๖Ɉএ௣Ʌ
൥ȧȩ‫ࣗ܆‬ȯɦɀȞɥăూ2/2/2/2/.2ɈɢȠɅĂႨॸ࢞ɁɉĂʈ˅Ĝʨ˃ණ߈ဿ຦ɬɉȲɛĂழላ౳Ăላ౳ɈඑੈຑɈȹɛɅĂ‫ܟ‬ှ༜ਗ౰ާ৏˄ĜʘĪDQ.TBSī຃੪ழळ‫ܒ‬౳ɬާཡȱɀȞɥăۧහᅙɺˋʞʢɈॎᆲ‫ݛ‬Ăழळ‫ݛ‬Ăฝʋʑʠ‫ݛ‬ɈȹɛɅĂႨॸ࢞ଆɉ຾૵Ʌழळ‫ܒ‬౳຃੪ᅙɈ DQ.TBS Ɉࣸʹʛʅʹʛʏʽʩˁʴˁɺˋʞ
ʢɬާཡȱȹĪూ2/2/2/2/.3īă!

ూ2/2/2/2/.2ą‫ܟ‬ှ༜ਗ౰ާ৏˄Ĝʘ຃੪ழळ‫ܒ‬౳!

ూ2/2/2/2/.3ą!!ழ ळ‫ܒ‬౳຃੪ᅙɈ DQ.TBS Ɉࣸʹʛʅʹʛ
ʏʽʩˁʴˁɺˋʞʢ

ూ2/2/2/2/.4ąDQ.TBS!VBW Ɉ‫ޱ‬༄

ూ2/2/2/2/.5ąழळ‫ܒ‬౳຃੪ DQ.TBS Ɉ SG ʏʑʞʸ

ూ2/2/2/2/.6ąDQ.TBS ຃੪ᅙ VBW!KY.3―2―ూ2/2/2/2/.4ɈɢȠɅĂDQ.TBS ʓˋʍȦൈ‫ܟ‬ှ༜Ī੆ಽɘȹɉ‫ۦ‬ಽīɬഗఒȱɀĂ੆ಽɂ‫ۦ‬ಽှ༜ɬວ૪Ʌ
ିఒȳɥăȭɈᆤʟĜʗɬିఒȳɥȭɂɅɢȽɀĂ૾྘‫ކ‬ജĂൈ‫ܟ‬ᆎĂʙ˃ʠߍɄɃĂᅕęɄఛ‫ކ‬ജɬෆ୸ȳɥȭɂȦɁȧɥăDQ.TBS ʓˋʍɉɺʇʞɻʮʓˋʍɁȜɤĂM ʨˋʡɈʙʻĜʯʩ˃ʑɁĂQSG Ȧ2911ġ3111!
I{ ɁȜɥăႨॸ࢞ɁɉĂழळ‫ܒ‬౳຃੪ᅙ DQ.TBS ʓˋʍɈ SG ʏʑʞʸĪూ2/2/2/2/.5ɬઞ௎īȦ‫ݟڤ‬ĂॎᆲĂȥȾʋˋʩʇʠɅಡोȯɦɀȞɥăȭɈఛळʓˋʍɉʯˁʛʠʭʁĜʸĪழळ‫ܒ‬౳Ăਂऋ࡙Ăჟఱਂऋ࡙ɄɃīɈઽ౬ɂ๝ᆋ೸ɅȤȫɥʭɹˁʟĜ‫ޑ‬๖Ʌɢɥ‫ࣗ܆‬ɬॎঌɁȧĂɘȹȭɈʓˋʍɅɢȽɀĂ਒౼๱ɂฝʦɼʒɈ
‫ކ‬ജɬຶɥȭɂȦɁȧɥɂࡖ൒ȯɦɥăȭɈழळ‫ܒ‬౳Ʌ DQ.TBS ʓˋʍɬ຃੪ȳɥ೐ɅĂႨॸ࢞ଆɁɉʓˋʍɈණ௫ଌ௠ଌঅᅙɈ DQ.TBS ຃੪ჟఱਂऋ࡙ĪDQ.TBS! VBWīɜާཡȱȹăూ2/2/2/2/.6ɈɢȠɅĂႨॸ࢞ଆɈ൥ळჟఱਂऋ࡙ȦᅕęɄʷʛʏʿˋɈ
ȹɛɅĂᅕęɄʓˋʍɬ຃੪ȳɥȭɂȦɁȧɥăɘȹĂჟఱਂऋ࡙Ɉ౯༑ɬࣅ‫ݛ‬ȳɥȹɛɅĂʃĜʴˋʋˋʵ
ʐʛʠɅɢɥॎᆲ‫ݛ‬ɂࣅ‫ݛ‬ɬ਄ȞĂKY.3Ȧࠊ౰ȱȹĪూ2/2/2/2/.6īă਱ষĂఛ೧੮ɁȜɥʵ˂ʶʞ˂ɺ˃Ɂާཡ
ȱĂॎᆲ‫ݛ‬Ă๝༜โູ౯Ɉ৐௫Īฝঌ౎ᆎ‫ݛ‬īĂฝʋʑʠ‫ݛ‬ɄɃĂ‫ޜ‬ᆯɬ਄ȠᅅฤɁȜɥăȹȺȱĂȭɈʵ˂ʶʞ˂ɺ˃ɉູଶ๡ᆧɂཡၮʑʙ˅Ĝ˃ĪFQTīȥɣ৭౰ȯɦȹɜɈɁȜɥăளᅰĂࠞࣃࠫപĂర੠ࠠ૗ɄɃɈȹ
ɛɅĂෳࢯᆋɂෳ૪࠰ɈʷʛʏʿˋȦɁȧɥɢȠɅĂᅕęɄ౯༑৐௫ɬȳɥᅅฤɁȜɥăĪǍīDQ.TBS ʷʛʏʿˋ
ȭɈ DQ.TBS ʷʛʏʿˋɈ଱Ʉᄆโɉൈ‫ܟ‬ှ༜ɈઢᅸɅɢɥࡊೣॸ࢞ɂȷɈܾᅙɈާཡɁȜɥăࡊೣॸ࢞Ɂ
ɉĂණ࢝࿍೸Ʌɢɥൈ‫ܟ‬ှ༜Ī‫ܟ‬ှ༜ɂ෸ೀှ༜ɬ࠸ɚīɅɢɥᅕęɄ๝૱༜Ɉઢᅸᄎ൨Ɉ‫ސ‬಑Ăൈ‫ܟ‬ှ༜Ʌɢɥࠍொਗ౰ާ৏˄ĜʘĪJoTBSīĂ૾྘‫ކ‬ജɈ౺౰ၫၭĂൈ‫ܟ‬ᆎĂʙ˃ʠߍɄɃɈᅕęɄ‫ކ‬ജɬ౺౰ȱ‫ސ‬಑ȳɥᅅฤɁȜɥăȭȭɁĂఆ౺Ăಥ࿉ĂᅕęɄ๲௳ହᇆɄɃɅɢɥൈ‫ܟ‬ှ༜Ɉઢᅸଌঅɂ‫ސ‬಑ɬȳɥᅅฤɁȜɥăɘȹĂȭɈൈ‫ܟ‬ှ༜ɢɤଲຶȳɥय़‫ݪ‬ɬ୦ᅰɈ෸ೀှ༜Ɉ‫ސ‬಑य़‫ݪ‬ɂ྘ߏॳບȱĂȭɈ଴ၭɬൈ‫ܟ‬ှ༜Ʌɢɥୃࠎ
Ɉ਒ȯĂ࿈਒ʟĜʗĪEFNīɄɃෆ୸ɅܾᅙȳɥᅅฤɁȜɥă
DQ.TBS! VBW Ɉ‫ۿ‬ᅙ‫ޱ‬༄ɬూ2/2/2/2/.4Ʌ૲ȳăȭɈూȥɣɩȥɥɢȠɅĂDQ.TBS ʓˋʍȦ SIDQ ɘȹɉ
MIDQ ȥɣ‫ێ‬ȾɈှ༜ɈəɬഗఒȱɀĂණჶɅઢᅸȯɦĂᆤှ༜ɈܾຒĪSIDQ ɂ MIDQīɬວ૪ɅିఒȳɥăȭɈᆤఒਖɢɤĂ૾྘Ăൈ‫ܟ‬ᆎĂʙ˃ʠߍɄɃĂᅕęɄ௶ၡɬෆ୸ɁȧĂණ࿍೸ɂɈ࠲बɬ෮ੈȳɥᅅฤɁȜɥă
DQ.TBS ʓˋʍɈܾᅙާཡɁɉĂளᅰȭɈʓˋʍɬ๲ණྡဒĂ੠ޮࠠ૗Ăಥ࿉‫ۊ‬ɂ‫ޠ‬ᅖ‫ۊ‬Ɉʺʣʗ˂ˋʈɄɃ
ɅܾᅙȳɥᅅฤɁȜɥăȹɂȢɊĂ๲ණྡဒɈʶʛʬˋʈɁɉĂ‫ܟ‬ှ༜Ʌɢɥఝᆹɂྥఝᆹ‫ۊ‬ɈယᇆĂୃ਒Ăʶˋʈ˅ĜʮĂ࣡ණɅȤȫɥಥ࿉Ɉࠞࣃဿ‫ݛ‬ɄɃɈʺʣʗ˂ˋʈɅܾᅙȳɥᅅฤɁȜɥă੠ޮࠠ૗ɁɉĂȭɈʓˋʍɬʈ˅Ĝʨ˃ණ߈ဿ຦Ă‫ݮ‬ટߤ຦ɄɃɈࠫപɅߤᅙȳɥᅅฤɁȜɥăĪǎīDQ.TBS ʏʑʞʸ
ూ2/2/2/2/.7Ʌ VBW ɂਂऋ࡙຃੪ᅙɈ DQ.TBS Ɉʏʑʞʸɬ૲ȳăȭɈʏʑʞʸɉĂྦ਄౫সʏʑʞʸĂʂˋ ʴ Ĝ ʡ ʋ ˋ ʬ ʽ Ĝ ʗĪXpsltubujpoīĂ ઽ ౬ ౫ সĪJNV ɂ HQTīĂ ഗ ି ఒ ʺ ʐ ʽ Ĝ ˃ĪSG! Usbotnjuufs ɂ
SfdfjwfsīĂEBĆBE ဿ‫ʺݛ‬ʐʽĜ˃Ă๝ᆵĆ౫সʾʣʛʠĪQpxfs!boe!Dpouspm!VojuīɄɃȥɣ৭౰ȯɦɀȞɥăʂˋʴĜʡʋˋʬʽĜʗɅɢɤ DQ.TBS Ɉ೔ʍʮʏʑʞʸɬ౫সȳɥăઽ౬౫সɅɉࠑ౯ਂၭക඲ĪJNVī
ɂ HQT ɬ઴ᅙȳɥăDQ.TBS ʓˋʍɉĂʙʻĜʯʩ˃ʑཡ౺ࡉĂഗିఒʺʐʽĜ˃Ă‫ކ‬ജఒਖஐᆅʺʐʽĜ˃ȥɣ৭౰ȯɦɀȞɥă
ూ2/2/2/2/.7Ʌ DO346ਂऋ࡙຃੪ᅙ D ʨˋʡDQ.TBS ʏʑʞʸɬ૲ȳăDQ.TBS ʓˋʍɉĂSG ʏʑʞʸĪഗିఒʺʐʽĜ˃īĂʙʻĜʯʩ˃ʑཡ౺ࡉĂ‫ކ‬ജఒਖஐᆅʏʑʞʸȥɣ৭౰ȯɦɀȞɥăూ2/2/2/2/.8ɉ‫ܟ‬ှ༜Ɉɺˋʞʢȥɣ৭౰ȯɦȹ DQ.TBS ʓˋʍɈʵɼˋʠʗĜʊʛʠɈଌঅɈᅕાɬ૲ȳăࡊႨโɅĂȭɈ DQ.TBS ʏʑʞʸɉഗఒɂିఒɈʺʐʽĜ˃ȥɣ৭౰ȯɦɀȞɥăഗఒʍʮʺʐʽĜ˃Ɉ໴ᆵ඘ાɅĂʱĜʑʨˋʡED ġ
261NI{ĪM ʨˋʡɈ௲ਗīɬɜȾʙʻĜʯʩ˃ʑཡ౺ࡉɈ Jo.qibtfĪǥīɂ Rvbesbuvsf!ĪǭīɈఒਖɬಞറȳɥăʙʻĜʯʩ˃ʑɅɢɤୈ༜ౘ2-381NI{ĪM ʨˋʡɈ௲ਗīɬဿ෮ȱĂȭɈഗିఒʏʑʞʸɈୈ༜ౘɈ຦੼ဍ
ɉ2-381NI{ ľ261NI{ ɂɄɥăഗఒʏʑʞʸɈᆀຶʙʽĜʣˋʈ࡙༑ɉǍĂǎĂǏĂǔĂ27!ɘȹɉǌġĽ42eC
ɅಡฤȳɥȭɂȦɁȧɥăିఒࡉɈᆀຶʙʽĜʣˋʈ࡙༑ɉǍĂǎĂǏĂǔĂ27ĿǎɘȹɉǌġĽ73eC ɁȜɥă๝ᆵഝဍࡉĪQBīȦʩ˃ʑഗఒ๝ᆵ61XĪ੕൥īĂഗఒࡖ࠰21̂tĪ੕൥īĂevuz! djsdmf ǎœĪ੕൥īɬ୸ᆵȳɥăഗିఒ࡙Ɉʑɼʛʙˋʈബ๱ĪSIDQ ɂ MIDQīɉĂࡊႨโɅǍ̂t Ɂ੕൥ǎ̂t ɁȜɥăɺˋʞʢင
ယɉĂʭ˃‫ܟ‬ှ༜ɬଌএȳɥȹɛɅĂMIDQ ɂ SIDQ ᅙɈ‫ܟ‬ှ༜ʶɼʇ˅ʑʠ˂ʛʯɺ˄Ĝɺˋʞʢȥɣ৭౰ȯɦɀȞɥăూ2/2/2/2/.9Ʌຎॸ࢞ଆɁާཡȯɦȹ DQ.TBS ʏʑʞʸɈ೔ʺʐʽĜ˃ĪMĂDĂY ʨˋʡīɂĂ຾૵ާཡȯɦȹʙʻĜʯʩ˃ʑཡ౺ࡉɬ૲ȳăూ2/2/2/2/.:Ȧ຾૵Ʌާཡȯɦȹ D ʨˋʡ TBS ᅙɈʩʛʙɺ˄ĜɺˋʞʢɂĂɺˋʞʢູ౯ɈപฤȱɀȞɥᅕાĪూ2/2/2/2/.21īɬ૲ȳă

―3―

ూ2/2/2/2/.7ąD ʨˋʡ DQ.TBS Ɉʏʑʞʸూూ2/2/2/2/.8ąDQ.TBS ʓˋʍɈʵɼˋʠʗĜʊʛʠĪǝīM ʨˋʡ‫ܟ‬၂༜ਗ౰ާ৏˄ĜʘʏʑʞʸĪǞīD ʨˋʡ‫ܟ‬ှ༜ਗ౰ާ৏˄ĜʘʏʑʞʸĪǟīY ʨˋʡ‫ܟ‬ှ༜ਗ౰ާ৏˄ĜʘʏʑʞʸĪǠīಫᅝ൥ߔཡʙʻĜʯཡ౺ࡉĪǔʙʻˋʥ˃୸ᆵī

ూ2/2/2/2/.9ąTBS ɈʙʻĜʯʩ˃ʑཡ౺ࡉɂ‫ކ‬ജఒਖஐᆅɈʺʐʽĜ˃

―4―

ూ2/2/2/2/.:ąDQ.TBS ɈഗିఒᅙɈʶɼʇ˅ʑʠ˂ʛʯɺˋʞʢɂ DO346ਂऋ࡙Ʌ຃੪ȱȹᅕા

ూ2/2/2/2/.21ą!!DQ.TBS ɈഗିఒᅙɈʶɼʇ˅ʑʠ˂ʛʯɺˋʞʢ
ɈപฤᅙɈ๝༜ჟࣗଆ

ూ2/2/2/2/.22ą෸ೀှ༜ɂ‫ܟ‬ှ༜Ɉઢᅸູ౯ߊ໻ćO32:ਂऋ࡙Ɉ๝༜ჟࣗଆ໘Ɉઢᅸപฤ

―5―ĪǝīMjofbs!Qpmbsj{bujpoĪ෸ೀှ༜īĪǞīDjsdvmbs!Qpmbsj{bujpoĪ‫ܟ‬ှ༜ī
ూ2/2/2/2/.23ą෸ೀɂ‫ܟ‬ှ༜Ɉ‫ކ‬ജ―6―

(1,2) LP, Cross-Pol., HV(1,4) CP, Cross-Pol., LR

Range (m)(1,3) CP, Co-Pol., LL

Range (m)Range (m)Range (m)(1,1) LP, Co-Pol., HH

Cross-range (m)Cross-range (m)(2,3) CP, Cross-Pol., RL(2,4) CP, Co-Pol., RR

Range (m)Range (m)Cross-range (m)Cross-range (m)Range (m)Cross-range (m)(2,2) LP, Co-Pol., VV

Range (m)Cross-range (m)(2,1) LP, Cross-Pol., VH

Cross-range (m)(a) LP imaging output

Cross-range (m)(b) CP imaging output

ూ2/2/2/2/.24ąʵɼˋʠʗĜʊʛʠɈଌঅय़‫ݪ‬ć෸ೀှ༜ɂ‫ܟ‬ှ༜Ɉ྘ߏॳບɈय़‫ݪ‬

ూ2/2/2/2/.25ąDQ.TBS Ʌɢɥ‫ے‬ȥɣɈઢᅸູ౯Ɉ෮ੈ

―7―ĪǝīǒȾɈ‫߰ے‬ȥɣɈ‫ܟ‬ှ༜ઢᅸĪǞīǔȾɈ‫߰ے‬ȥɣɈ‫ܟ‬ှ༜ઢᅸ
ూ2/2/2/2/.26ąDQ.TBS Ʌɢɥ‫߰ے‬ȥɣɈઢᅸູ౯Ɉ෮ੈय़‫ݪ‬ĪǏī‫ܟ‬ှ༜ĪDQīઢᅸູ౯Ɉଌঅ
ూ2/2/2/2/.22ɈɢȠɅĂO32:ਂऋ࡙Ɉჹळɬ઴ᅙȱɀĂ๝༜ჟࣗଆɁപฤȯɦȹ‫ܟ‬ှ༜ĪMMĂMSĂSMĂ
SSīɂ෸ೀှ༜ĪIIĂIWĂWIĂWWīɈઢᅸ‫ކ‬ജɬ੔এȱȹĪూ2/2/2/2/.23īăȹȺȱĂM ɂ S ɉȷɦȸɦ੆
ಽ‫ܟ‬ှ༜ɂ‫ۦ‬ಽ‫ܟ‬ှ༜ɬ૲ȳăȷȱɀĂMS Ȧ MIDQ ɈഗఒɁĂSIDQ ɈିఒɁȜɥăూ2/2/2/2/.23ȥɣɩȥɥɢȠɅĂ‫ܟ‬ှ༜Ɉ‫ކ‬ജɉ෸ೀှ༜Ɉ‫ކ‬ജɂ྘ߏȱɀĂ‫ކ‬ജɈ೏ც౯ɂઢᅸ௻ൔɄɃɅ‫ۅ‬Ȟɬ૲ȳăȭɦȥɣ‫ܟ‬ှ༜Ɉ‫ކ‬ജɈ෮ੈɬॅറȱĂᅕęɄܾᅙɜॳບȳɥᅅฤɁȜɥăɘȹĂளᅰĂਂऋ࡙Ćჟఱਂऋ࡙຃੪ DQ.TBSɈଌঅɈ഼ɅĂDQ.TBS ຃੪Ɉ౰೸५ʯˁʛʠʭʁĜʸɂழळ‫ܒ‬౳Ɉާཡɜ਄ȠᅅฤɁȜɥă
ూ2/2/2/2/.24ɅĂ෸ೀှ༜ɂ‫ܟ‬ှ༜Ɉ྘ߏॳບɬȳɥȹɛɅ਄ȽȹĂʵɼˋʠʗĜʊʛʠɈଌঅय़‫ݪ‬ɬ૲ȳăȭȭɁĂိჶĂǎჶĂǏჶɈཱଗჶĪʋĜʢĜ˂ʭ˄ʇʗĜīɬൎ௣ɅȱɀĂઢᅸଌঅɬ਄Ƚȹăూ2/2/2/2/.24
Ɉय़‫ݪ‬ɢɤĂ‫ܟ‬ှ༜Ɉઢᅸ༜ɢɤʦɼʒȦவɄȞȭɂȦယȥȽȹă
ూ2/2/2/2/.25ɅɉĂDQ.TBS Ɉܾᅙާཡɂȱɀଌૈȱȹ‫߰ے‬Ɉ౰ෳɂ‫ܟ‬ှ༜ઢᅸູ౯Ɉ෮ੈɈᅕાɬ૲ȳăూ
2/2/2/2/.26ɉĂǒȾɂǔȾɈ‫߰ے‬ȥɣɈ‫ܟ‬ှ༜ઢᅸɈ๝༜ჟࣗଆ໘Ɉപฤय़‫ݪ‬ɁȜɥăȭɈय़‫ݪ‬ȥɣൌಓઢᅸĂ࿍ჶઢᅸĂഽ୭ઢᅸɄɃɈ߂ହઢᅸູ౯ɬ෮ੈȱȹă

―8―

ş2/2/2/3/āਂऋ࡙຃੪ਗ౰ާ৏˄ĜʘɈଌ௠ଌঅ
ĪǍīY ʨˋʡਗ౰ާ৏˄Ĝʘ຃੪ Cpfjoh!848.311Ɉྦ਄ଌ௠ଌঅ
ూ2/2/2/3/.2ɈɢȠɅĂ3128༃ǔॢǎġǕ໲ɅĂɼˋʡʥʏɺĆʶʃʍ˃ી໘ɅɀĂY ʨˋʡਗ౰ާ৏˄ĜʘĪTBSīɬ຃੪ȱȹ Cpfjoh!848.311Ɉྦ਄ଌ௠ଌঅɬȱȹăȭɈྦ਄ଌ௠ଌঅɁɉĂᄝ2-111n Ɉྦ਄਒๱Ă:/5HI{ Ɉ TBS ෂఘୈ༜ౘĂ211X ɈʬĜʇഗఒ๝ᆵɁ‫ۿ‬ᅙȱȹăూ2/2/2/3/.3Ʌ Y ʨˋʡ TBS Ʌɢɥʶʃʍ˃
ી໘Ɉ‫ކ‬ജĪ੆ూīɂଖణĪ‫ۦ‬ూīɬ૲ȳăȭɈଌঅɁɉĂႨॸ࢞Ɂާཡȱȹ Y ʨˋʡ TBS Ȧଌ੫Ʌ‫ۿ‬ᅙɁȧȹȭɂɬߊ໻ȱȹă਱ষĂ୸ᆵ๝ᆵɈ൥๝ᆵ‫ݛ‬ĂSG ʏʑʞʸɈழळ‫ݛ‬Ćʋˋʩʇʠ‫ݛ‬Ćॎᆲ‫ݛ‬Ă‫ކ‬ജஐᆅɈৌ
ᆎ‫ݛ‬ɄɃɬ਄ȠᅅฤɁȜɥă

ూ2/2/2/3/.2ąCpfjoh!848.311ɂ TBS ʓˋʍ

ూ2/2/2/3/.3ąY ʨˋʡ TBS Ʌɢɥʶʃʍ˃ી໘Ɉ‫ކ‬ജĪ੆ూīɂଖణĪ‫ۦ‬ూī―9―ĪǎīD ʨˋʡਗ౰ާ৏˄Ĝʘ຃੪ DO346Ɉྦ਄ଌ௠ଌঅ
ຎʓˋʗĜɉɼˋʡʥʏɺ౱࿬ɂ൤ሕۧහࣟĪOTQPīɂࢼວȱɀĂ6/4HI{ Ɉෂఘୈ༜ౘĂ361X ɂ511X
ɈʬĜʇ୸ᆵ๝ᆵĂ511NI{ ɈʨˋʡဍĪ‫ސ‬ജ๱ᄝǐүīɈ઱ᅕɬɜȾ D ʨˋʡ‫ܟ‬ှ༜ਗ౰ާ৏˄ĜʘĪDQ.
TBSīɬާཡȱȹăȭɈ DQ.TBS Ɉ౯༑ɬߊ໻ȳɥȹɛɅĂ3128༃ǔॢ35ġǕॢǏ໲ɅɼˋʡʥʏɺĆʐʿʈʐʻʃ˃ʗી໘Ɂʓʑʢ࡙Ʌ຃੪ȱɀྦ਄ଌ௠ଌঅɬ਄ȽȹĪూ2/2/2/3/.4īăȭɈॸ࢞Ɂɉູଶ๡ᆧɂཡၮʑʙ
˅Ĝ˃Ʌɢɥఛ೧੮ɬާཡȱĂDQ.TBS ʓˋʍɈ˄ʡĜʸɈ೧੮ɂȱɀߤᅙȱȹĪూ2/2/2/3/.5īă୦ᅰɈ੮ᆧɅ
ɢɥ˄ʡĜʸɈ๝༜ູ౯ɁȜɥঌ౎Ȧ2/6eC ɁȜɥɈɅൎȱɀĂȭɈఛ೧੮Ʌɢɥঌ౎ɉ1/5eC ɅɄȽȹă਱ষĂ౰೸५ʯˁʛʠʭʁĜʸĂCpfjoh!848.311ĂDO346ਂऋ࡙ᅙɈ MĂDĂY ʨˋʡ DQ.TBS ʓˋʍᅙɈఛळ˄ʡĜʸɈާཡɅߤᅙȳɥᅅฤɁȜɥă
3129༃Ǐॢǎ໲ġ29໲ɅɉɼˋʡʥʏɺĆʶʃʍ˃ી໘ɅɀĂDO346ਂऋ࡙Ʌ຃੪ȱȹ D ʨˋʡ DQ.TBSɈʭ˃ှ༜Ɉྦ਄ଌ௠ଌঅɬ਄ȽȹĪూ2/2/2/3/.6īăూ2/2/2/3/.7ɉ DQ.TBS Ʌɢɥ஑‫ܟ‬ှ༜Ɉ‫ކ‬ജĪ௫ూĂ‫܀‬‫ࣗ܆‬Ʉȱīɬ૲ȱĂ‫ݚ‬ూɉʃʹˁɁએȽȹĪ‫ࣗ܆܀‬ȜɤīଖణɁȜɥăూ2/2/2/3/.8ɉ D ʨˋʡ DQ.TBS Ɉʭ˃ှ༜‫ކ‬ജɁȜɥăȭɈྦ਄ଌঅɅɢȽɀĂຎʓˋʗĜɁާཡȱȹ DQ.TBS ȦಡोȱȹɃȤɤ‫ۿ‬ᅙɁȧȹȭɂȦߊ໻Ɂȧȹă

ూ2/2/2/3/.4ąD ʨˋʡ DQ.TBS ຃੪ʓʑʢɈྦ਄ଌ௠ଌঅɂ SG ʏʑʞʸ

ూ2/2/2/3/.5ąఛ೧੮Ʌɢɥ˄ʡĜʸɈާཡɂଌ௠ଌঅ

ూ2/2/2/3/.6ąDO346ਂऋ࡙Ʌ຃੪ȱȹ D ʨˋʡ DQ.TBS ʓˋʍɈ‫ܟ‬ှ༜ɺˋʞʢɂ SG ʏʑʞʸ― 10 ―

ూ2/2/2/3/.7ąDQ.TBS Ɉ஑‫ܟ‬ှ༜‫ކ‬ജĪʨˋʡဍ311NI{īూ2/2/2/3/.8ąD ʨˋʡ DQ.TBS Ɉʭ˃ှ༜Ɉ‫ކ‬ജĪMMĂSSĂSMĂMS ʺĜʡī

― 11 ―

ş2/2/2/4/āQT.JoTBS Ʌɢɥණྉ෺‫ݚ‬ɂ๲ੋၦɦɈࠫപ
ࣷ༃Ă๬ી‫ۊ‬ɬɉȲɛĂ਒ബັᇭĂ਒‫ڗ‬ഗ๝ೀĂ‫࠹ޠ‬ೀ‫ܨ‬ɄɃɅȤȫɥණྉ෺‫ݚ‬Ă๲ੋၦɦɄɃĂᅕęɄᄎ൨Ȧཡ౺ȱɀȞɥăూ2/2/2/4/.2ɉɼˋʡʥʏɺĆಀʑʶʠˁॻɈʉ˅ʇʓˋʫˁˋॻັɅȤȫɥ๲ੋȩȴɦɅɢɥྡޮ‫ۊ‬Ɉᅕાɬჟఱਂऋ࡙ĪVBWīɁࠫઍȱȹ‫ކ‬ജɬ૲ȳăȭɈ๲ੋၦɦɈঈۚɂȱɀĂණ߈ဿ຦Ă਒Ȟ۫ᆲɄɃȦࢫȬɣɦɥăȭɈএ௣Ȧෳࡖ࠰ɅɩȹȽɀྫவဿ‫ݛ‬ȱɀȤɤĂႨॸ࢞Ɂɉෳࡖ࠰ॅറโɄੇယࠍொਗ౰
ާ৏˄ĜʘĪEjggfsfoujbm!Joufsgfspnfujd!TBS!.!EJoTBSī଴ၭɂ‫܊‬റઢᅸൌਗ౰ާ৏˄ĜʘࠍொၭĪQfstjtufou!
Tdbuufsfst!Joufsgfspnfusjd!Tzouifujd!Bqfsuvsf!SbebsĞQT.JoTBSīɬ઴ᅙȱɀĂ଱ɅɼˋʡʥʏɺĆಀʑʶʠˁॻɈʉ˅ʇʓˋʫˁˋॻັୈ၃ɅȤȫɥ๲ੋၦɦɈঢ়‫ࠫۊ‬പɬ਒౼๱Ʌ਄Ƚȹă਱ɘɁɜĂຎॸ࢞ଆɁɉ UfssbTBS.YĂFowjtbu! BTBSĂFST.203! TBSĂKFST.2! TBSĪ‫ސ‬ജ๱ᄝ23/6nīĂ
BMPT! QBMTBSĂBMPT.3! QBMTBS.3Ɉ߂ହʟĜʗĪ‫ސ‬ജ๱ᄝ21nīɬ઴ᅙȱɀĂຄ໤ɺʐɺɂຄɺʐɺණ‫ۊ‬ɅȤȫɥ൥๬‫ޏ‬ɅȤȫɥණ߈ဿ຦Ɉࠫപɬ਄ȽɀȞɥȦĂູɅĂȭȭɁɉ਒ബັᇭୈ၃ɅȤȫɥ๲ੋၦɦɬɉ
ȲɛĂ൥๬‫ޏ‬ɅȤȫɥණྉ෺‫ݚ‬Ă‫ݮ‬ટလ‫ݮ‬Ʌɢɥᅗ࠾ᆲɈైฤɄɃɅ෉ᄆȱȹăᇉɂȱɀĂూ2/2/2/4/.3Ʌ QT.
JoTBS Ɂ BMPT.3! QBMTBS.3ʟĜʗɬ‫ސ‬಑ȱȹɼˋʡʥʏɺĆಀʑʶʠˁॻɈʉ˅ʇʓˋʫˁˋॻັୈ၃ɅȤȫɥৡ࢏โɄઢᅸ๘Ɉယ࿫ɬ૲ȳăႨॸ࢞Ɂɉ‫ސ‬಑य़‫ݪ‬Ɉ‫ސ‬ജ๱Ȧᄝ21n ɂĂএණɅȤȫɥ௢੧Ʉ‫ސ‬಑य़‫ݪ‬Ī‫ސ‬
ജ๱ᄝ21nīɬຶɥȭɂȦɁȧȹăȷɈय़‫ݪ‬ĂɼˋʡʥʏɺĆಀʑʶʠˁॻɈʉ˅ʇʓˋʫˁˋॻັୈ၃ɅȤȫɥ๲ੋȩȴɦɈྫழဿ‫ݛ‬ɬࠫപȳɥȭɂȦɁȧĂȷɈय़‫ݪ‬ɬూ2/2/2/4/.4Ʌɬ૲ȳăȭɦɬॳ௠ȳɥȹɛএණ
෮ੈɬଌૈȱĂວȲȩూ2/2/2/4/.4ɅȭɈএණ෮ੈɈଖణɬ૲ȳăȭɈൎ௣ණ‫ۊ‬Ɉୈ၃Ɂɉ๲ੋȩȴɦȦࡧȭȽɀȤɤĂȭɈ‫ސ‬಑य़‫ݪ‬ɬɼˋʡʥʏɺɈණၫ౱࿬ɅอࢷȱັᇭɈ‫ڤ‬೔ൎ઄Ʌਇॷȱȹă

ూ2/2/2/4/.2ą!!ɼ ˋʡʥʏɺĆಀʑʶʠˁॻɈʉ˅ʇʓˋ
ʫˁˋॻັɈ VBW ‫ކ‬ജ

ూ2/2/2/4/.3ą!!BMPT ‫ކ‬ജɬߤᅙȳɥ QT.JoTBS ‫ސ‬಑ćɼˋʡʥʏɺĆಀʑʶʠˁॻɈʉ˅ʇʓˋʫˁ
ˋॻັୈ၃ɅȤȫɥৡ࢏โɄઢᅸ๘Ɉယ࿫

― 12 ―

ూ2/2/2/4/.4ą!!BMPT ‫ކ‬ജɬߤᅙȳɥ QT.JoTBS ‫ސ‬಑ćɼˋʡʥʏɺĆಀʑʶʠˁॻɈʉ˅ʇʓˋʫˁˋॻັୈ၃ɅȤȫɥ๲ੋȩȴɦɈࠫപय़‫ݪ‬ɂএණ෮ੈɈଖణ

Ⴈॸ࢞ɈᄆโɉĂBMPT ‫ܒ‬౳ɈʟĜʗɬ઴ᅙȱɀĂʐʻʃ˃ʗીɬɉȲɛĂ౦‫߂ޢ‬ਡɈଽ๬ɅȤȫɥ௢੧Ʉණྉ෺‫ݚ‬ɘȹɉණ࿍೸ဿ‫ݛ‬ɬ༘‫ڐ‬ȳɥȭɂɁȜɥăॸ࢞ၫၭɂȱɀĂɘȴ‫ࢦݿ‬Ɉණྉ෺‫ݚ‬Ɉ‫ݿ‬าɬ༘‫ڐ‬ȳɥȹɛɅĂ2::4༃ġ2::9༃Īǒ༃࠰īĂ3118༃ġ3122༃Ă3125༃‫ڬ‬ষɈණྉ෺‫ݚ‬Ɉএ௣ɬ‫ސ‬಑ȳɥྼᅟȦȜɥăȭȭɁɉĂM ʨˋʡɈਗ౰ާ৏˄ĜʘɁȜɥ KFST.2! TBSĂBMPT! QBMTBSĂBMPT.3! QBMTBS.3Ɂ‫ސ‬಑ɬȳɥăȷȱɀĂȭɈ๬ીɈྫழဿ຦ᆲɈ༘‫ڐ‬ɬȳɥȹɛɅĂ3125༃ġএ੭Ɉ BMPT.3‫ܒ‬౳दɈʟĜʗɬ઴ᅙȳɥăȭȭɁĂএණɈྫழဿ຦ᆲɬ༘‫ڐ‬ȳɥȹɛɅĂ਒౼๱ HQT ʟĜʗĂຕोʟĜʗĂණଋ௶ၡĂএණ෮ੈʟĜʗɄɃɂ྘ߏॳບɬȳɥăɘȹĂ‫ސ‬಑౼๱৐௫ȯȵɥȹɛɅĂʟĜʗɈߊ။௻࣍ɅɢɥȦĂྼᅟɅܾȲɀ QT.JoTBSɁɜ‫ސ‬಑ȱȹăȭɈॸ࢞౰‫ݪ‬ɉĂ๬ીो‫ކ‬Ăర੠ൎ઄ɄɃɅߤᅙɁȧɥɂࡖ൒ȯɦɥă
ş2/2/2/5/ā๝ᆋ೸ࠫപᅙழळ‫ܒ‬౳ HBJB.J
ూ2/2/2/5/.2ɉႨߔɈழळ‫ܒ‬౳ʷʛʏʿˋɬ૲ȱĂএ੭ʈ˅Ĝʨ˃ࠞࣃĆණ߈ဿ຦ࠫപᅙழळ‫ܒ‬౳ HBJB.J ɂ
HBJB.JJ ɬާཡȱɀȞɥăHBJB.J ɉ๝ᆋ೸ɬࠫപȳɥȹɛɅ‫ܦ‬ေ HQTĪHQT.SPīʓˋʍɬ຃੪ȳɥăHBJB.JJ Ʌɉණ߈ဿ຦ࠫപȳɥȹɛɅ‫ܟ‬ှ༜ਗ౰ާ৏˄ĜʘĪDQ.TBSīɬ຃੪ȱĂழळ TBS ‫ܒ‬౳ɂঘɐă
3124༃๱ɢɤĂႨॸ࢞ଆɁɉ HQT ‫ܦ‬ေĪHQT.SPīʓˋʍɂ๝ાდ๱Ć‫ݗ‬๱ʯ˅ĜʮɅɢɥĂ๝ᆋ೸ɂ൥࡜
ɅȤȫɥᅕęɄএ௣ɬࠫപȳɥȹɛɅĂழळ‫ܒ‬౳ HBJB.J ɬާཡȱɀȞɥĪూ2/2/2/5/.3īăూ2/2/2/5/.4ɈɢȠɅĂȭɈழळ‫ܒ‬౳ɉʂˋʴĜʡʋˋʬʽĜʗɘȹɉʷʛʏʿˋृĪQbzmpbeīĂʋʶˋʡʟĜʗʧˋʡ˂ˋʈĪDETī
ĂฆఒृĪDNTīĂ๝ᆵृĪFQTī
Ăઽ౬౫সृĪBDTīȥɣ৭౰ȯɦɀȞɥă਱༃๱Ʌழळ‫ܒ‬౳຃੪ᅙɈ DET ᅙɈʂˋʴĜʡʋˋʬʽĜʗĪPCDīĂ๝ાდ๱Ć๝ા‫ݗ‬๱ʯ˅ĜʮĪFEUQīȦࠊ౰ȱĂଌ௠ଌঅɬȱȹăᅰ༃๱Ʌɜණ௫ଌ௠ଌঅɬȳɥᅅฤɁȜɥă

― 13 ―

ూ2/2/2/5/.2ąʈ˅Ĝʨ˃ࠞࣃĆණ߈ဿ຦ࠫപᅙழळ‫ܒ‬౳ĪHBJB.J ɂ HBJB.JJīూ2/2/2/5/.3ą๝ᆋ೸ࠫപᅙழळ‫ܒ‬౳ HBJB.J ɂʮ˅ʛʈʘɼɺʈˁʸ― 14 ―

ూ2/2/2/5/.4ą!!GQHB Ʌɢɥ HBJB.J ᅙɈʂˋʴĜʡʋˋʬʽĜʗĪPCDī
ĂฆఒʏʑʞʸĪDNTīĂ๝ાდ๱Ć๝ા‫ݗ‬๱ʯ˅ĜʮĪFEUQī

ూ2/2/2/5/.5ɅĂຎॸ࢞ଆɈழळ TBS ‫ܒ‬౳ɬ૲ȳăɘȹĂూ2/2/2/5/.6Ʌ DQ.TBS ຃੪ழळ‫ܒ‬౳Ɉ৭ഢɬ૲ȳăȭɈ౦‫ޢ‬஑261ҹࢡਗ౰ާ৏˄Ĝʘ຃੪ழळ‫ܒ‬౳Īழळ‫ܒ‬౳ TBSīɈॸ࢞ʺʟ˃Ȧࠊ౰ȱĂ3128༃ǒॢɅཡ࿍ȱȹă3116༃ȥɣএ੭ɅȞȹɥɘɁĂಫᅝ൥ߔɉɼˋʡʥʏɺۧහਂऋࣟĪMBQBOīɂࢼວȱĂʈ˅Ĝʨ˃ණ߈ဿ຦ࠫപᅙɈ M ʨˋʡĪୈ༜ౘ2/386HI{ ൑īɈۧහᅙਗ౰ާ৏˄ĜʘĪTBSīɬާཡȱɀȧȹăಫᅝ൥ߔȦާཡȱȹۧහᅙ TBS ʓˋʍɉ‫܀‬ĆტĆ‫ܬ‬Ɉ‫ࣗ܆‬ɄȱɁණ࢝࿍ჶɬ೏ცɅࠠ૗Ɂȧɥ೔๏েळʓˋʍɁĂᄕ࠰Ɂɜࠫപ‫ݢ‬༑ɁȜɤĂ੠ޮࠠ૗ɅᄭɦȹʓˋʍɁȜɥăࡕശɈ‫ܒ‬౳ TBS ɉౘʠˋɈଋᆲɂෳȯ21n Ɉɺˋʞʢ
ɁȜɥɈɅൎȱĂႨߔཡɈழळ‫ܒ‬౳ TBS ɉ261ҹ‫ݚڬ‬Ʌॎᆲ‫ݛ‬ȯɦĂɺˋʞʢɉ෸श4/7n Ɉழळ‫ݛ‬Ʌ౰োȱȹăྡ੠ණɬ਒౼๱Īnn ġ dn ౼๱īɅࠫപɁȧɥȭɈ‫ܒ‬౳ɉĂ3131༃Ʌ൅Ȼ௫ȬȳɥᅅฤɁȜɥăȭɦɅ຃੪ȳɥಫᅝ൥ߔ຾૵ާཡɈ‫ܟ‬ှ༜ਗ౰ާ৏˄ĜʘĪDQ.TBSīɅɢɤĂණ࢝࿍ჶɬᅕęɄ‫ܟ‬ှ༜ࠫപȦ‫ݢ‬༑ɂɄɤĂఛ౦ൣɈණ࢝ࠫപɅɄɥɂࡖ൒ȳɥă਱ষĂǑࡊ‫ڬ‬௫Ɉழळ‫ܒ‬౳ TBS Ɉʋˋʑʞ˄ĜʏʿˋɅɢɤĂණ࢝௫ɅȤȫɥວ௲ஒɬႴ໲ࠫപ‫ݢ‬༑ɂɄɥȹɛĂ੠ޮɈᅅപĪ๲ੋၦɦĂණྉ෺‫ݚ‬īĂɼˋʭˁɈࠠ૗Ă‫ޠ‬ᅖࠫപĂਡࣃࠠ૗ɄɃᅕęɄယᄘɁߤᅙɁȧɥăႨॸ࢞Ɂࠊ౰ȱȹழळ‫ܒ‬౳ TBS Ɉۧහᅙࣸʹʛʅʹʛʏʽʩˁʴˁɺˋ
ʞʢĪ෸श4/7nīɬూ2/2/2/5/.7Ʌ૲ȳă

ూ2/2/2/5/.5ąDQ.TBS ຃੪ழळ‫ܒ‬౳

― 15 ―

ూ2/2/2/5/.6ąDQ.TBS ຃੪ழळ‫ܒ‬౳Ɉ৭ഢ

ూ2/2/2/5/.7ąࣸʹʛʅʹʛʏʽʩˁʴˁɺˋʞʢ

ూ2/2/2/5/.8ąႨʓˋʗĜɈఱ৙‫ܒ‬౳ࠣ౫ࣟĪ3126༃๱ࠊ౰ī― 16 ―

ş2/2/3/ā৉ߔโ˂ʺĜʠʓˋʏˋʈɅɢɥ൥࡜Ȥɢɍණ࿍ჶ௶ၡɈଲຶɂ‫ސ‬಑
ş2/2/3/2/ā!!MFE ৉঍ɬᅙȞȹഽ༜ෳʀɺ˅ʖ˃ࠫപക඲Ɉާཡ! !
ĪOpgfm!MbhsptbtĂKbnsve!BnjoveejoĮᅃਗ‫ݨ࢞ॸߔݨ‬ག઺‫ݻ‬าįĂܼ୸ఒ‫ێ‬ᇾĂ࢏౦৘ცī൥࡜ʀɺ˅ʖ˃ɉ൥࡜ෂɬ࿲ᄿȳɥ‫ܕ‬ൌɘȹɉঙൌ
ᆙાɁȜɤĂ྘ߏโᆙशȦ൥ȧɄ૵೓ࡧ঍ᆙાĪ‫ܶޠ‬ɞ๲௳ᆙાīɞᆙशȦழȯɄఱ‫ࡧڻ‬঍ᆙાĪᆘબܶɞ௑બܶᆙાīɄɃထઔɄ೨౰ɬɜȽɀȞɥăʀɺ˅ʖ˃ᆙાɉാᅣ৉ɈઢᅸɬฆȲɀၪଗ๙ൿɅ‫ࣗ܆‬ɬ࢒ɖȳɕȥĂ‫܀‬Ɉࣛय़߇ɂȱɀණ࢝ɈၪଗେૅɅɜ൥ȧȩ‫ࣗ܆‬ȳɥăɘȹĂ༇ௌɅࡧ঍ɬɜȾʑʑᆙાɈ௲ਗɅ
ɉാᅣ৉ɬ෸ಞ࢓େȱɀ൥࡜ɬ‫ݗ‬ɛɥৌ‫ݪ‬ɬɜȾăʀɺ˅ʖ˃Ɉཡ౺঍ɉȷɈഽȩȦණ௫࿥ࣷɅȜɥȹɛĂ൥࡜ࣃ‫ޢ‬೸໘ɁɈʀɺ˅ʖ˃Ɉ౯ଋɬცɣȥɅȳɥȭɂɉĂ൥࡜˂ʺĜʠʓˋʏˋʈɅȤȫɥ୭ᅟɄ‫ݻ‬൨Ɉ‫ێ‬ȾɅɄȽɀȞɥă
DFSfT ɁɉĂ୦ᅰɢɤ TLZOFU ɅȤȫɥʑʃɼˁ
ూ2/2/3/2/.2ą!M! FE ৉঍ɬᅙȞȹʀɺ˅ʖ˃௉ઢबౘപฤക
඲ Tdifnbujd!ejbhsbn!pg!uif!MFE!tztufn/ʐʂʹĜʗɞʍˋʭʁʠʹĜʗɅɢȽɀാᅣ෸ൿ৉Ɉ
ഽ༜ෳࠫപɬ਄ȠɂɂɜɅĂˁɼʘĜɞණ௫ʍˋʯ˂
ˋʈപࡉɬᅙȞɀ௉ઢबౘɈऋ࠰โĂ૪࠰โɄဿ຦ɞ
ઢᅸĆ࢓େबౘȤɢɍᆙशယ࿫Ɉᇦറोപɬ਄ȽɀȧȹăȯɣɅĂ3128༃Ǐॢ‫ڬ‬ਏɅɉĂ૗าोĪWbjtbmb-!
QXE63īɅɢɤ৉ઢᅸɈঈᆅɅࡊȿȞɀǌġ41lnɈཱྀ‫ڱ‬Ɉ૗าोപɬଌૈȱɀȞɥăȭɈപࡉɉಘެ
৉Ī༜ෳ986onīɈ೐ၫઢᅸोപɅࡊȿȞɀĂ༜ෳ
661on ɅȤȫɥ౉ိ૗าɬધ୸ȱɀȞɥăȭɈધ୸‫ݿ‬าɅɉʀɺ˅ʖ˃Ɉ৉ߔູ౯Ʌ࠲ȳɥ‫ݜ‬ฤȦ໴ȽɀȤɤĂෳ৉ᇭɅȤȫɥഽ༜ෳोപɅȤȫɥ௉ઢबౘɂ
ూ2/2/3/2/.3ą!˄
! ʠ˅˂ʭ˄ʇʗĜȥɣɈཱଗ৉ɂȱɀोപȯɈ྘ߏɬ਄ȠȭɂȦႊɘȱȞăɘȹĂʍˋʯ˂ˋʈ
ɦȹǐ༜ෳMFE ৉঍Ɉʑʲʇʠ˃പࡉɅȤȞɀɜĂಓယळʥʭɿ˅ʹĜʗĪUTJ4674īɁ Ǐ ༜ ෳ Ɂ Ɉ ઢ ᅸ ब ౘ ɬĂ ɘ ȹĂ ʀ Ĝ ʍ ˅ ʹ Ĝ ʗĪNbhff-!BF.42īɅɢɤǓ༜ෳɁɈ࢓େबౘɬപฤȱɀȞɥȦĂʍˋʯ˂ˋʈɅࡧۚȳɥ൥ᆙशᆙાɈഹ଄
ɞĂઢᅸߍ๱ཱྀ‫ڱ‬ĪǓġ281ŋ
īɈঔฤɅɢɥଌ൥࡜
ෂɁɈ৉ߔ‫ݿ‬าɂɈੇ‫ڽ‬Ȧ౺ȲɥăȭȠȱȹȭɂɅɢɤĂഽ༜ෳɁɈෳ৉ᇭोപɬᄆโɂȱɀĂMFE ৉঍ɬᅙȞȹക඲ɈާཡɬమɛɀȞɥă
ూ2/2/3/2/.2ɅʏʑʞʸɈ‫ޱ‬ᅟూɬ૲ȳă਒୸ᆵɈǐ༜ෳ MFE ৉঍ĪUipsmbct-! 5E178īȥɣɈ৉ɬ୸
ూ2/2/3/2/.4ą!ʥ
! ʭɿ˅ʹĜʗɁोപȱȹ661onɁɈઢᅸब
ଗႊܳࣖɅɢɤိ਄৉ɂȱĂࢯᆋᄝ381n Ɉ‫ڮ‬඲Ʌ඲
ౘɂMFE ఒਖࣅ๱Ɉ૪࠰ဿ‫ݛ‬Ɉ྘ߏȞȹཱଗʏʑʞʸĪ˄ʠ˅˂ʭ˄ʇʗĜĂFenvoe-!
O.CL8Ă෸श68nn ĿǏ൤īɁಠɤ၄ȱɀႊܳࣖɁ
ୠ৉ĂʭɹɼʨĜɬฆȱɀழळယ৉ࡉ!ĪPdfbo! Pqujdt-! VTC3111īɁယ৉ࠫപɬ਄ȽɀȞɥăཱଗʏʑʞʸɉਥȩ๡കȱȹෂऋɈཔෂɅಡ඲ȱɀȜɤĂȭɦɅɢɤാᅣ৉Ɉ௎ଗɅɢɥ༬ा৉˄ʱ˃Ɉဿ‫ݛ‬Ɉ‫ࣗ܆‬ɬฝঌȱɀȞɥă৉঍ɉ৙ߔृ഍ਗॸ࢞ງɈǕG ࠫപଆɅĂɘȹཱଗʏʑʞʸɉʭ˅ˋʞɻɺॸ࢞ງɈ‫ݎ‬௫ĪǓG ഊຎīɅಡ඲ȱĂᇦറोപɬଌૈȱɀȞɥăMFE ৉঍ɉ33࿓࠰๘ຌȱĂ૫Ɉ33࿓࠰ɉ௉ຌȱɀȞɥăఒਖɉǏ࿓࠰Ɉಓધඩɬ po-! pgg ȷɦȸɦɅȾȞɀപฤȱĂpo ȥɣ pgg ɬੇȱۜȞɀ৉঍‫ެڬ‬ɈᄘެɈ৉Ɉ‫ࣗ܆‬ɬ௉ࢦȱɀȞɥă
ూ2/2/3/2/.3ɅĂȭɈɢȠɅȱɀຶɣɦȹཱଗ৉Ɉʑʲʇʠ˃ɬ૲ȳăూɅॽɣɦɥǐȾɈʬĜʇȦǐ༜ෳɈʬĜʇɅഊຎȱɀȞɥăฆ௵Ɉ‫ސ‬಑ɅɉĂࣅ๱ɈࣅȞ566on Ȥɢɍ736on ɈʬĜʇɬᆀᅙȱɀȞɥă
ూ2/2/3/2/.4ɅĂ3129༃ǐॢ33໲ȥɣ34໲ɅȥȫɀɈఒਖࣅ๱!Ī736onīɈൎౘඩĪʀɺ˅ʖ˃Ɉ৉ߔโৎ
ȯɅ྘ᇉȳɥᆲīɈ૪࠰ဿ‫ݛ‬ɬĂಓယळʥʭɿ˅ʹĜʗɈઢᅸबౘĪ661onīɈ૪࠰ဿ‫ݛ‬ɂ྘ߏȱɀ૲ȱȹă

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ʥʭɿ˅ʹĜʗɉ MFE ৉঍ɂວȲǕG Ʌಡ඲ȱɀȜɤĂઢᅸबౘɈഝ‫ݡ‬ɂɂɜɅĂࢯᆋ651n ɬܽဌȱȹ৉ࣅ๱ȦঌவȱɀȞɥȭɂȦߊ໻Ɂȧɥăএ੭ɉႊܳࣖɁୠ৉ȱȹ৉Ɉࡩ๘Ȧ८ဘɈɩȴȥɄ༂โဿ຦ຑɈঈۚɅɢȽ
ɀ຦ȩᄎ൨ȦȜɤĂ਱ষĂ૵຦ɺˁɼˋʹˋʠ࡙৭Ɉຩ໴ɄɃɈ‫ޜ‬೑ɬ਄Ƚɀഽ༜ෳɁɈʀɺ˅ʖ˃௉ઢबౘɈ
ोപɬଌএȳɥᅅฤɁȜɥă

ş2/2/4/ā৉ߔʓˋʍȤɢɍ MjEBS Ʌɢɥఆ౺˂ʺĜʠʓˋʏˋʈ
ş2/2/4/2/āĶȱȧȯȞķTHMJ ʓˋʍॳ௠ɈȹɛɈఝᆹཱଗᆎైฤĪႨഽĆߝঈॸ࢞ଆīĪǍīɉȲɛɅ
ိ౰38༃23ॢ34໲Ăହા๿ۧහʓˋʗĜȥɣණ࢝ࠫപ‫ܒ‬౳ĶȱȧȯȞķĪHDPN.DīȦ൅Ȼ௫ȬɣɦĂჟૢᅅฤࡨັɅຂ໴ȯɦȹăĶȱȧȯȞķɅ຃੪ȯɦȹ THMJĪഽ༜ෳ৉ߔၪଗोīɅɢɥᆌ‫ۊ‬ఆ౺ʺʣʗ˂ˋʈɅ࠲
ɩɥʯ˅ʘʇʠɈȠȻĂȭɦɘɁණ௫ငʨɼʂʶʑȤɢɍఆ౺ˁʭʥʑɼˋʟʛʇʑɄɃĂTHMJ ʓˋʍɈູ౯
ɬߤȥȱȹǎၫ৐౯ཱଗɬ࠸ɚණ࿍ჶཱଗᆎʟĜʗȦ઴ᅙȱȹɺ˃ʌ˂ʒʸާཡɬ਄ȽɀȧȹăȭɦɣɈɺ˃ʌ˂ʒʸɉ THMJ Ɉູ෡ɁȜɥഽၫ৐ࠫപʟĜʗɬᆀᅙȳɥȹɛĂTHMJ Ȧଌ੫Ɉ‫ۿ‬ᅙɬާ઻ȳɥɅȜȹɤĂǎၫ৐౯ཱଗɬ࠸ɚණ࿍ჶཱଗᆎɈॳ௠ȦྼᅟɂɄɥăTHMJ ɉ‫ݢ‬૗Ćࣷಘެ‫ۊ‬Ʌ22Ɉණ௫‫ސ‬ജ๱361n Ɉʙʻʥ˃Ăഽၫ৐ࠫപɬ਄ȠǎȾɈණ௫‫ސ‬ജ๱Ǎln Ɉʙʻʥ˃ɬᄵȱĂ෸‫࢒ݚ‬ɍଚɛ૗Ɉࠫപɬ࣡ɛɀ඗Ȟ૪࠰ੇɁࠫപ
ȳɥȭɂȦ‫ݢ‬༑ɁȜɥăȷɈȹɛĂǎၫ৐ࠫപʟĜʗɈଲຶߊᆎɉĂȭɦɘɁɈෂา๱‫ސ‬ജ๱৉ߔʓˋʍɅȩɣɓɀ‫ڗ‬๵โɅ਒ȩɄɥȭɂȦࡖ൒ȯɦɥă‫ێ‬ၫĂණ௫ငʨɼʂʶʑຑɈᆌ‫ۊ‬ఆ౺ဘᆅᆲɬైฤȳɥɅຎȹɤĂ
THMJ Ȧࠫപȳɥǎၫ৐ཱଗɬɏȩɚණ௫ཱଗᆎȦĂଌ੫ɈࠫപʟĜʗɅȤȞɀࡖ൒ฆɤɈࠫപඩɬଲຶɁȧɥȥɬଌ੫Ɉණ௫ʟĜʗɬᅙȞɀॳ௠ȳɥྼᅟȦȜɥăෂา๱‫ސ‬ജ๱ʈ˅Ĝʨ˃৉ߔʓˋʍɈࠫപཱଗᆎɈॳ௠ɉĂȷɈࠫപʑʉĜ˃Ɉ൥ȧȯȥɣ࣡ɛɀਲ໧ɁȜɥȭɂɉĂୈඪɈɂȤɤɁȜɥăຎʓˋʗĜɁɉĂࢼວᆀᅙॸ࢞ߤ຦Ɉ‫ࠞێ‬ɂȱɀĶఝᆹʨɼʂʶʑʓʷʢĜķॸ࢞‫ޏ‬ɬɂȤȱɀĂKBYĂ႘‫ັޠ‬൥ߔĂȾȩɊ൥ߔĂਡᆏࠞࣃॸ࢞ஒɄɃɈഽȩɈ࡙࠲ɂࢾᆵȱɀȭɈᄎ൨‫ސ‬ड़ɈȹɛɈ൥ჶಓɈॳ௠ʍɼʠɅȤȫɥණ௫ॳ௠ʟĜʗଌപɈ଴ၭɬॳບȱɀȧȹăȷɈȞȩȾȥɅȾȞɀɉĂȳɁɅ‫ࢦݿ‬Ɉ༃ၡɅɜၡਠȱɀȞɥɂȤɤɁȜɥăႨ༃๱ɉĂȷɦɣ൥ჶಓॳ௠ʍɼʠĪ‫ێ‬၀611n ౷ၫवɈ൥ჶಓॳ௠ʍɼʠɁĂKBYB ʑĜʩĜʍɼʠɂ௔ȱɀȞɥīɈȠȻĂ႘‫ັޠ‬൥ߔ໇ழ႞ॸ࢞ᆹʍɼʠȤɢɍਡᆏࠞࣃॸ࢞ஒȦࠣᆅȳɥ࿩઺႘ሀʃˁʶʜᆹʍɼʠɅ
ȤȞɀĂʡ˅ĜˋɬᅙȞȹఝᆹɈǏ૫ইʟĜʗɬଲຶȱĂTHMJ ʟĜʗॳ௠ɈȹɛɈ൥ჶಓʍɼʠɅȤȫɥǎၫ৐ཱଗଌപ଴ၭɈᄵৌ౯ॳບɬ਄ȽȹăĪǎī൥ჶಓʍɼʠɅȤȫɥཱଗᆎॳ௠ʟĜʗଲຶɈਲ໧ȯෂา๱‫ސ‬ജ๱‫ܒ‬౳ʓˋʍɈࠫപʟĜʗɂ෸ಞ྘ߏȱȠɥණ௫ଌപʟĜʗɈଲຶɅɉ൥ȧɄਲ໧Ȧ཮ȠăᇉȢɊᄵఱਂऋ࡙Ʌ৉ߔʓˋʍɬ຃੪ȱĂ‫ܒ‬౳ࠫപ૪ਟɂວࡖȱɀ਒਒๱ȥɣ൥ჶಓɈൎ௣ʀ˂ɺɈʑʲʇʠ˃ɬଲຶ
ȳɥၫၭȦ੕ɜඍ஋Ʉၫၭɂȱɀ৽ȢɣɦɥȦĂଌ੫Ʌɉȭɦɉ࣡ɛɀ౰োᆎɈழȯɄ଴ၭɁȜɥă‫ܒ‬౳ࠫപ૪Ʌൎ௣ᆴ‫ۊ‬Ȧ໔ȽɀȞɦɊʟĜʗɈଲຶɉ࿤‫ݢ‬༑ɁȜɤĂ‫ܒ‬౳ࠫപɂວࡖȱɀȥȾ౴๏Ɉ࡙‫ޏ‬ɬળȠȹɛɈෳࡖ
ʅʻˋʲĜˋɬଌૈȳɥɈɉʋʑʠჶȥɣəɀɜ࣡ɛɀৌᆎȦ‫ڏ‬ȩĂࠫപɈ౰োᆎɜฝȞăɘȹĂএ੭ɈɢȠɅ
HOTT Ʌɢɥਂ਄ʏʑʞʸȦ਒౯༑‫ݛ‬ȱɀȞɀɜĂᄵఱਂऋ࡙Ɂൎ௣ʀ˂ɺɬଚɛࠫപɁȧɥɢȠɄॄᇭɁ౼დ
Ʌྦ਄ȳɥȭɂɉȧɩɛɀਲ໧ɁȜɥăʓˋʍɉ࡙ൌɅঙฤȯɦɥɜɈɁȜɤĂྦ਄૪Ɉ࡜ᆔɈ௻࣍Ɂ࡙ൌઽ౬
ȦɩȴȥɁɜဿ‫ݛ‬ȳɦɊĂʓˋʍɈ૗ᄘɉೠȽȹᆴ‫ۊ‬ȥɣȤȤȧȩެɦȹᆴ‫ۊ‬ɬࠫപȳɥȭɂɅɄɥăȱȹȦȽɀĂ‫ބ‬ęȦȭɦɘɁଌૈȱɀȧȹɢȠɄழळჟఱʰ˂ɞʡ˅ĜˋɅ຃੪ȱȹၪଗोɅɢɥĂ࡙຦౯ɈȜɥࣷಞ˂ʺĜʠʓˋʏˋʈࠫപɬ਄ȽȹɕȠȦೠȽȹ‫ݳ‬ஒɈഽၫ৐ʑʲʇʠ˃ʟĜʗଲຶɈ౰োᆎɉ߆ඦɅ਒
ȞăȱȥȱĂȷɈ௲ਗĂ611n ġ611n ɂȞȽȹ൥ჶಓɈཱଗʑʲʇʠ˃ɬഽၫ৐ȥɣࠫപȳɥȹɛɅɉഽౘ‫ޑ‬Ɉࠫപྦ਄ɬଌૈȱɄȫɦɊɄɣȴĂ௎ც௸ॣɈဿ‫ݛ‬ȦவɄȞ௻࣍Ɂᆴ‫ۊ‬೔ൌɈǎၫ৐౯ཱଗʟĜʗɬଲຶȳɥȭɂɉࡖ൒ɁȧɄȞăȭɈɢȠɅĂෂา๱‫ސ‬ജ๱‫ܒ‬౳ʓˋʍɈࠫപʟĜʗɂ྘ߏȱȠɥଌപʟĜʗɈଲຶɉ࣡ɛ
ɀਲ໧ɁȜɥăȷȭɁĂ૫ਐɅ૲ȳɢȠɄʏʷʽ˄Ĝʏʿˋɬဩᅙȱȹ଴ၭɁ൥ჶಓɅȤȫɥǎၫ৐౯ཱଗʑʲʇʠ˃Ɉଲຶɬ਄Ƞȭɂɬ৽ȢɥăĪǏī൥ჶಓʍɼʠɅȤȫɥཱଗᆎॳ௠ʟĜʗଲຶ଴ၭ
೐ਐɁ୺ɓȹᄎ൨๘ɬ‫ސ‬ड़ȳɥȹɛɅĂ‫ݚڬ‬Ɉၫၭɬଌૈȱȹă
ǝ!!īൎ௣ᆴ‫ۊ‬Ɉఝᆹ৭ഢɬऋએଖణȥɣǏ૫ই௶ၡɬ੔৭౰ȳɥ TgNĪTusvduvsf! gspn! NpujpoīຑɈࣷಞ˂
ʺĜʠʓˋʏˋʈࡳ୹ɬᅙȞɀ༘‫ڐ‬ȳɥăइൌโɅɉĂୃࠁ‫ڮ‬඲ĂୃࠁशĂୃࠁఠȯຑɈୃᄄɈǏ૫ই৭ഢʩˁʹĜʗɬଲຶȳɥȥĂୃࠁɈ ETN ɬ੼౰‫ݢ‬༑Ʉ௶ၡɬଲຶȳɥăȹɂȢɊ TgN ‫ެڬ‬Ʌɜࣷಞ਒ယ‫ސ‬༑

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MjEBS Ʌɢɥ௫ऋȥɣɈǏ૫ইʟĜʗଲຶɁɜɢȞȱĂोപଌૈ૪ࡖȦࣷȫɦɊᄵఱਂऋ࡙Ʌɢɥ MjEBS ʟĜʗɬဩᅙȱɀɜɢȞă
Ǟ!!ī൥ჶಓɅȤȫɥഽၫ৐Ɉʑʲʇʠ˃ɬວ૪ɅोപɁȧɄȞȭɂȥɣĂǝīɁଲຶȱȹǏ૫ইʟĜʗɁĂ඗૪࠰Ɂࠫപ‫ݢ‬༑ᆴ‫ۊ‬ɅȾȞɀழळჟఱʰ˂ɞʡ˅ĜˋɅၪଗोɬ຃੪ȱɀഽၫ৐ʑʲʇʠ˃ࠫപɬଌૈȳɥă
ǟ!!ī௫ࡥǝīɈǏ૫ইʟĜʗȥɣ੼౰ȱȹఝᆹʺʟ˃ɜȱȩɉ ETN ɂഽၫ৐ࠫപɈʑʲʇʠ˃ʟĜʗȥɣຎ޶ᆴ‫ۊ‬Ɉ CSGĪCj.ejsfdujpobm! Sfgmfdubodf! GbdupsīɬɜɂɛĂ‫ڽ‬Ʉɥ௎ც௸ॣɅȤȫɥୃࠁཱଗᆎȦʏʷʽ˄ĜʏʿˋɁ੔এ‫ݢ‬༑Ʉȭɂɬߊ໻ȳɥă
Ǡ!!īఝᆹɈ CSG ȦĂఝᆹ৭ഢɂୃࠁȷɈ഼Ɉ৭౰ဘɈཱଗᆎɈəɅ‫گ‬ശȳɥɂȞȠ‫ݜ‬ฤɬȤȧĂ‫ࢦݿ‬Ɉ༃ၡɅȤȞɀၡਠȱȹǎၫ৐౯ཱଗʏʷʽ˄Ĝʗ CjST ɬᅙȞɀᆴ‫ۊ‬೔ൌɈǏ૫ইʟĜʗȥɣ੔এȱȹୃࠁʺʟ˃
ɜȱȩɉ ETN ɬᅙȞɀĂ‫ܒ‬౳ࠫപ૪Ɉࠫപࡐ‫ݝ‬ɅȤȫɥཱଗᆎɬైฤȳɥăȷɈైฤඩɬ‫ܒ‬౳ࠫപඩɈॳ௠
ʟĜʗɂȳɥăĪǐī໇ழ႞ॸ࢞ᆹ611n ʍɼʠɅȤȫɥॳ௠ʟĜʗ੼౰
3128༃ǕॢɅ႘‫ັޠ‬൥ߔ໇ழ႞ॸ࢞ᆹɅȤȞɀĂ೐ਐɁತცȱȹ଴ၭɬଌ੫ɅไᅙȳɥȹɛɈʟĜʗଲຶɬ਄ȽȹăǝīୃࠁǏ૫ই৭ഢʟĜʗɈଲຶ
ూ2/2/4/2/.2Ʌ૲ȳɢȠɅĂ611n Ŀ611n! Ɉʞʑʠʍɼʠ೔‫ۊ‬ɬʃʨĜȳɥᆴ‫ۊ‬ɅȤȞɀʡ˅ĜˋɅɢɥଖ
ణʟĜʗଲຶɬ਄ȞĂTgN ‫ސ‬಑ɅɢȽɀ೔‫ۊ‬ɈୃࠁǏ૫ইʟĜʗɈ੼౰ɬ਄Ƚȹă೔‫ۊ‬ɬ23Ɉவᆴ‫ۊ‬ɅယߠȱĂȷɦȸɦɈᆴ‫ۊ‬Ɂྦ਄ၫ৐Īɺ˅ˋʈʠˁʛʇၫ৐īɈʂĜʨĜˁʛʯ:1œ‫ڬ‬௫Ăʍɼʡˁʛʯ96œ‫ڬ‬௫ɂɄɥɢȠɄྦ਄ॄᇭಡฤɈɜɈɂɅଖణʟĜʗଲຶɬ਄Ƚȹă೔‫ۊ‬Ɂᄵৌ‫ކ‬ജႳౘᄝǍ჈3-111Ɉଖణએ‫܆‬ɬ਄ȞĂ
TgN ʕʭʠɾɿɺĪQipupTdboīɅɢȽɀǏ૫ইʟĜʗɈ੼౰ɬ਄Ƚȹă

ూ2/2/4/2/.2ą!!႘‫ັޠ‬൥ߔ໇ழ႞ॸ࢞ᆹ611n ʍɼʠɅȤȫɥୃࠁǏ૫ইʟĜʗɈଲຶă!
!
੆ూɉʡ˅ĜˋɈྦ਄ॄᇭă‫ۦ‬ూɉ TgN ɅɢȽɀ੼౰ȱȹວᆴ‫ۊ‬Ɉʂ˃ʕ‫ކ‬ജăɘȹĂວʍɼʠ໘Ɉ‫ێ‬ငᆴ‫ۊ‬Ī41n Ŀ41nīɅȤȞɀᆏᄄდ๱Ăୃ਒ຑɈణඩɬຶɥȹɛĂණ௫˄ĜʎĜɅɢɥᆹ໘ोപɜଌૈȱɀȞɥĪూ2/2/4/2/.3īă

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ూ2/2/4/2/.3ą໇ழ႞ʍɼʠɅȤȫɥණ௫ोപ‫ڮ‬඲Ī੆ూīɂोപय़‫ݪ‬Ɉ‫ێ‬ငĪ‫ۦ‬ూīăǞīʡ˅ĜˋɅɢɥഽၫ৐ʑʲʇʠ˃ࠫപ
௫ࡥǝīɁණ௫ोപɬଌૈȱȹவᆴ‫ۊ‬ɅൎȱĂʡ˅ĜˋɅၪଗो຃੪ȱɀഽၫ৐ࠫപɬଌૈȱȹăഽၫ৐ࠫപ
ɉĂ෸‫ݚ‬ၫ৐Ȥɢɍʓˋʍ๏෴ߍȦ26ŋĄ41ŋĄ56ŋɈǐၫ৐ĂଚɛࠫപɅ࠲ȱɀɉ Qsjodjqbm! Qmbof! ɂ! Dsptt!
Qsjodjqbm! Qmbof ɈǎȾɈၫ‫ߍڮ‬Ɂोപɬଌૈȱȹăూ2/2/4/2.4Ʌၪଗोɬ຃੪ȱȹʡ˅ĜˋɂĪ56ŋɈଚɛࠫപ૪Ɉʡ˅ĜˋɈྦ਄ॄᇭɬ૲ȳă

ూ2/2/4/2/.4ąഽၫ৐ʑʲʇʠ˃ࠫപɬ਄Ƚȹ੫ɈၪଗोĪNT.831ī຃੪Ɉʡ˅ĜˋĪ੆ూīɂ56ŋࠫപණɈྦ਄ॄᇭ

ʑʲʇʠ˃ोപɈ੫ɅɉĂၪଗोɂວ૪Ʌழळʃʹˁɬ຃੪ȱĂࠫപᅅฤ๘ɬࠫപȱȹ૪ਟɬଖణʟĜʗɈ
fyjg ௶ၡȥɣଲຶȱɀၪଗोɈोപ૪ਟɂ௎ਗȳɥȭɂɅɢȽɀൎ௣ᆴ‫ۊ‬Ɉʑʲʇʠ˃ोപɬ਄ȽȹʟĜʗɬෆ୸ȳɥၫၭɬᅙȞȹăଲຶȱȹʑʲʇʠ˃Ɉ‫ێ‬ငɬూ2/2/4/2/.5Ʌ૲ȳă!

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ూ2/2/4/2/.5ąQsjodjqbm!Qmbof ɅȤȫɥʑʲʇʠ˃ोപय़‫ݪ‬ɂोപ‫ڮ‬඲ɬ૲ȳଖణʟĜʗăȭɈʑʲʇʠ˃ࠫപय़‫ݪ‬ᅙȞɀǎହᇆɈඍ஋व௻Ɉୃࠁʺʟ˃ɂ ETN ɈᆤଞɅɢɥైฤཱଗबౘɂଌപʟĜʗɬ྘ߏȱȹय़‫ݪ‬ɬూ2/2/4/2/.6Ʌ૲ȳăǎହᇆɈඍ஋व௻Ɉୃࠁʺʟ˃ɂɉĂǝīɁଲຶȱȹǏ૫ইʟĜʗȥɣୃ਒ĂୃࠁशĂᆏᄄ‫ڮ‬඲ຑɬȷɈɘɘཱ‫܇‬ȱȹʺʟ˃ĪȭȭɁɉ Gnpefm ɂঘɐīɂĂᆏᄄ‫ڮ‬඲௶ၡɉˁˋʘʸɁȜɥȦĂୃࠁशĂᆏᄄდ๱ȦຕोโɅວຑɁȜɥ‫ݜ‬೻Ɉఝᆹʺʟ˃ĪȭȭɁɉ Snpefm ɂঘɐīɬૄȳă!

ూ2/2/4/2/.7ą!!ୃࠁʺʟ˃ɂ ETN Ʌɢɥཱଗᆎʏʷʽ˄ĜʏʿˋɂଌപඩɈ྘ߏĪಘᆴ‫ۊ‬Ȥɢɍࣷಘެᆴ‫ۊ‬īăSnpefm ‫ެڬ‬ɉɢȞ‫ێ‬ඳȦߊ໻ɁȧɥăȭɈय़‫ݪ‬ɬॽɥɂĂˁˋʘʸɄୃᄄ༯඲ɬᅙȞȹ Snpefm ɁɉଌപඩɂɈੇȦ൥ȧȩɄȽɀȞɥȦĂGnpefm
Ȥɢɍ ETN ɁɉɢȞ‫ێ‬ඳɬॽȵɀȞɥăSnpefm-!Gnpefm-!ETN ɅȤȫɥ SNT িੇɉȷɦȸɦಘᆴ‫ۊ‬Ɂ1/1185-!
1/1152-!1/1148Ăࣷಘެᆴ‫ۊ‬Ɂ1/148-!1/125-!1/127ɁȜȽȹăSnpefm ‫ެڬ‬ɉࣷಘެ‫ۊ‬Ɂ2/6œĂಘᆴ‫ۊ‬Ɂ1/5œ

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า๱ɈཱଗᆎিੇɂɄɤĂඍ஋व௻Ɉୃࠁʺʟ˃ɜȱȩɉ ETN ɁɈཱଗᆎʏʷʽ˄ĜʏʿˋɉᄵৌɁȜɥȭɂȦɩȥɥăSnpefm ɬᅙȞɀɈైฤɉ౼๱Ȧฝ‫ݚ‬ȳɥȭɂɉ૵ცɁȜɥȦĂȜȢɀ྘ߏȱȹɈɅɉᆅᄻȦȜɥăঢ়൥Ʉॳ௠ʍɼʠ೔‫ۊ‬ɅȤȞɀĂණ௫˄ĜʎĜɬᅙȞɀ౷ߊɄୃ਒ɞᆏᄄდ๱ɬଲຶȳɥȭɂɉ࣡ɛɀ໧ȱȞă‫ێ‬ၫ TgN ɅɢɥǏ૫ইʟĜʗȥɣᆏᄄდ๱ɞୃࠁशɬෆ୸ȳɥȭɂɉঈᆅโɅ‫ݢ‬༑ɁȜɥȦĂȷɦɬ૵຦โɅ
਄ȠɅɉɘȺࡳ୹โɄ‫ݻ‬൨ȦȜɥăȱȹȦȽɀĂএ૪๘Ɂɉ౷ߊɄୃᄄव௻Ɉ௶ၡɬᅙȞɥ Gnpefm ɬ೔‫ۊ‬ɅɩȹȽɀ੼౰ȳɥȭɂȦਲ໧ɁȜɥăȷȭɁĂණ௫˄ĜʎĜɁଲຶȱȹவᆴ‫ۊ‬Ɉ௶ၡɂĂঔɣɦȹᆴ‫ۊ‬Ɉ TgN ɅɢɥǏ૫ইʟĜʗȥɣຶɣɦɥୃᄄ
व௻௶ၡɬ೔‫ۊ‬Ʌ࿯᝭ȱɀʏʷʽ˄Ĝʏʿˋɬଌૈȳɥၫၭɬ૚əȹɜɈɁȜɥă‫ݚڬ‬Ɉ‫ܒ‬౳྘ߏɁɉ Gnpefm
੼౰Ȧਲ໧ɁȜɥȹɛĂSnpefm ɂ ETN Ʌɢɥ྘ߏɬ਄ȽɀȞɥă
ǟ!!ī௫ࡥǝīɁଲຶȱȹ611n ʍɼʠ೔‫ۊ‬ɅɩȹȽɀĂǞīɁຶȹഽၫ৐ʑʲʇʠ˃௶ၡɬᅙȞȹཱଗᆎʏʷʽ˄Ĝʏʿˋɬ਄ȞĂ‫ܒ‬౳ࠫപʟĜʗĪȭɈ૪๘ɁɉĶȱȧȯȞķ൅Ȼ௫Ȭ೐ɁȜȽȹȹɛĂNPEJT ʓˋʍɬᅙȞȹīɂɈ྘ߏɬ਄ȽȹĪూ2/2/4/2/.8īăూ2/2/4/2/.8ą!!໇ ழ ႞ ॸ ࢞ ᆹ611n ʍ ɼ ʠ ೔ ‫ ۊ‬Ɉ Snpefm-! ETN ɬ ᅙ Ȟ ȹ ʏ ʷ ʽ ˄ Ĝ ʏ ʿ ˋ ɂ
NPEJT ࠫപඩĪNPE1:HB ɈཱଗᆎīɈ྘ߏăʑʲʇʠ˃ଌപʅʻˋʲĜˋଌૈ໲ɅࣷȞᄵৌɄ NPEJT ʟĜʗɂɈ྘ߏɬ਄Ƚȹăʍɼʠ೔‫ۊ‬ɅȤȫɥཱଗᆎʏʷʽ˄Ĝʏʿˋɂ NPEJT Ɉཱଗᆎʯ˅ʘʇʠɈඩɈ྘ߏɁɉĂETN ɢɤɜ
Snpefm ɈၫȦࣷȞඩɬ૲ȱɀȞɥăࣷಘެ‫ۊ‬ɅȤȫɥ SNT িੇɉ Snpefm Ɂ1/147ĂETN Ɂ1/158ɁȜȽȹăǞīɈय़‫ݪ‬ȥɣ৽ȢɦɊ ETN ɁɉɜȠவȱ਒౼๱ɄైฤȦ‫ݢ‬༑ɂ৽ȢɣɦɥȦĂय़‫ݪ‬ɉǞīɂ྘ߏȳɥɂȥɄɤฝ‫ݚ‬ȱɀȞɥăTHMJ ʓˋʍʟĜʗɂɈ෸ಞ྘ߏɅɢɥॳ௠ɬᄵৌɅȳɥȹɛɅɉĂĪǍīETN ɁɈ౼๱ฝ‫ݚ‬ɈঈۚɈ࢞ცĂĪǎīGnpefm ɬৌᆎโɅ੼౰ȳɥࡳ୹โ‫ݻ‬൨Ɉ‫ސ‬ड़ĂɈǎ๘ȦྼᅟɁȜɥăȱȥȱɄȦɣĂȭɦɘɁ‫ܒ‬౳ࠫപʟĜʗɂऋ࠰ʑʉĜ˃ɬຑȱȩȱɀɈ෸ಞ྘ߏɬ਄ȠȹɛɈʑʲʇʠ˃ʟĜʗଲຶၫၭɅȾȞɀɉĂᄵఱਂऋ࡙ɬᅙȞɥɄɃɈ࣡ɛɀৌᆎɈ‫ڏ‬Ȟၫၭȱȥೊ൰૔ȦɄȥȽȹȭɂɅൎȱĂฝʋʑʠɁ࡙຦౯ɬɜȽɀʟĜʗଲຶ౰োᆎɬ߆ඦɅ৐௫ȯȵɥ଴ၭɂȱɀɉᄵৌɁȜɤĂຶɣɦȹǏ૫ই௶ၡȥɣୃࠁ৭ഢɒɈဿࠓၫၭȦߊᆏɁȧɦɊྥ௵ɅᄵৌɄ଴ၭɂɄɥɂࡖ൒ɁȧɥăɘȹĂȱȥɜഽၫ৐ʑʲʇʠ˃ࠫപʟĜʗଲຶɅ࠲ȱɀɉᄵఱਂऋ࡙Ɂɜ࣡ɛɀਲ໧ɁȜɤĂȜɘɤএଌโɁɄȞȭɂɬ৽ᆞȳɥɂĂTHMJ ɈଚɛࠫപʟĜʗॳ௠଴ၭɂȱɀɉএ௻Ɂɉᄫ‫ێ‬Ɉ଴ඦɁȜɥă

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2/3/āʯ˅ʈˁʸǎć௶ၡຕਗʯ˅ʈˁʸĮ‫ޱ‬ᅟį
௶ၡຕਗʯ˅ʈˁʸɉʟĜʗɈ੼౰ĂຕਗĂ৊ާɬࡊ૾ɂȱɀĂ଱Ʌ൥࡜५Ćᆌ‫ۊ‬Ɉࠞࣃॸ࢞ɬైమȳɥăଲɤ‫ڙ‬ȠʟĜʗɉ‫ܒ‬౳ࠫപʟĜʗĂණ௫ࠫപʟĜʗĂॸ࢞౰‫ݪ‬ɂȱɀɈࠞࣃʟĜʗɁȜɥăႨʯ˅ʈˁʸɅ࠸ɘɦɥ଱ᅟɄॸ࢞ʞĜʶɉĂ‫ܒ‬౳ʟĜʗɈၒ౷Ć೐ஐᆅĂ႐൥Ʉ‫ܒ‬౳ʟĜʗɈৌᆎɈᆯȞஐᆅ଴ၭɈߊᆏĂ‫ܒ‬౳ʟĜʗɂණ௫ɈʟĜʗຕਗɅɢɥࠞࣃʺʣʗ˂ˋʈ଴ၭɈާཡĂȤɢɍ‫ܒ‬౳ʟĜʗȥɣɈ൥࡜Ćᆌ‫௶ࣃࠞۊ‬ၡɈෆ୸ɁȜɥăɄȤĂႨʯ˅ʈˁʸɉ DFSfT! ɂȱɀɈ߂ହʟĜʗ৊ާĪWMĈोધ࡙ʟĜʗʱĜʑ‫ࣞޏۙڳ‬ოīĂࢼᄵʏʑʞʸɈ‫ۿ‬ᅙĪDFSfT!HbjbīɅდಞɅ࠲बȳɥă௶ၡຕਗʯ˅ʈˁʸɈ൦Ǐࡖෂࡖᄆ࿈Ćෂࡖो‫࠰ࡖކ‬Īိ౰39Ľ44༃๱īɅȤȫɥॸ࢞‫ݻ‬൨Ȥɢɍൿ౰ᄆ࿈
ɉ‫ݚڬ‬ɈฆɤɁȜɥă൦ǎࡖɅȤȞɀଌૈȱȹॸ࢞ʞĜʶɈູଋɅࡊȿȩʯ˅ʈˁʸॸ࢞ɬཡ๐ȯȵĂȯɣɅ୭๘‫ݻ‬൨ɬಡฤȱȹăĮෂࡖो‫࠰ࡖކ‬Ɉॸ࢞‫ݻ‬൨Ȥɢɍൿ౰ᄆ࿈įśॸ࢞‫ݻ‬൨Ć! ණ௫˂ʺĜʠʓˋʏˋʈɬߤᅙȱȹණ࢝൥࡜ࠞࣃɈࡊྉॸ࢞ɂȱɀĂDFSfT ଱ຩɈਡ੫ණ௫ࠫപʥʛʠˇĜʇĪTLZOFUīɂ OBTB ଱ຩɈʥʛʠˇĜʇĪBFSPOFUīɈ଱ᆵ࡙੮Ɉ෮ሆࠫപɬާ઻ȱĂȷɈʟĜʗɈ࿚ଋɅ࠲ȳɥఛȱȞඪॽɬຶɥăĆ! ˂ʺĜʠʓˋʏˋʈɬߤᅙȱȹණ࢝൥࡜ࠞࣃɈܾᅙॸ࢞ɂȱɀĂBvsb0PNJ ຑɈ‫ܒ‬౳ࠫപɞ TLZOFU ຑɈණ௫ࠫപɬߤᅙȱɀɺʐɺ‫ۊ‬Ɉ߂ହ൥࡜౰ယĪྫᆲʄʑĂʀɺ˅ʖ˃ɄɃīɈ૪ऋ࠰ယ࿫ɬఛȹɅცɣȥɅȳɥăĆ! ‫ݗ‬ଆৌ‫ݪ‬ʄʑࠫപࡳ୹‫ܒ‬౳ǎਖĪ3128༃๱൅Ȼ௫ȬᅅฤīɈ‫ݗ‬ଆৌ‫ݪ‬ʄʑࠫപʓˋʍĪUBOTP.GUT3īɈ༂ಘެʑʲʇʠ˃ȥɣ୦ᅰȥɣɈ໩બ‫ݛ‬ඖ೧ĂʹʗˋɅ‫ݡ‬ȢɀఛȹɅ࡜‫ݗ‬Ă౉௾࡜Ɉ਒๱ʯ˅ʭɹɼ˃ɬຩ
୸ȳɥɺ˃ʌ˂ʒʸɬާཡȱĂ‫ܒ‬౳ȤɢɍʓˋʍɈާཡইɁȜɥਡᆏࠞࣃॸ࢞ஒɂۧහਂऋॸ࢞ާཡ࡙৭Ʌ
ʟĜʗஐᆅʯ˅ʈˁʸɬอࢷȳɥăĆ! ໲ႨɈ‫ݗ‬ଆৌ‫ݪ‬ʄʑࠫപࡳ୹‫ܒ‬౳ HPTBU ʏ˂ĜʒĪHPTBUĂHPTBU3īɈ໩બ‫ݛ‬ඖ೧ȤɢɍʹʗˋɈ೔
࢝਒๱ʯ˅ʭɹɼ˃Ɉෳࡖ࠰ʟĜʗɈʟĜʗଋɬॳ௠ȱĂ‫ܒ‬౳ࠫപɅɢɥ೔࢝‫ݗ‬ଆৌ‫ݪ‬ʄʑ༏๱Ɉෳࡖभ৐
ɬცɣȥɅȳɥă
Ć! USNN ‫ۿ‬ᅙࡖ࠰Ī2::9Ľ3125ī!Ɉ೔࢝ಇો࡜௣‫ܒ‬౳ਏ౉ʵʞˋʏʻ˃ʶʛʯɬާཡĆ੼౰ȱĂ৊ާȳɥă
Ć! NUTBUĪ3116Ľ3126īࡖ࠰ɁɈຄĆຄ໤ɺʐɺ‫ۊ‬ɁɈ‫ܒ‬౳໲ଗĆਏ౉ᆲʯ˅ʘʇʠɬߤᅙȱȹᆌ‫౉ۊ‬ஃࠞ‫ސࢦݿ‬಑ɬଌૈȱĂ౉ஃࠞ‫ݿ‬าɬცɣȥɅȱĂ‫ސ‬಑य़‫ݪ‬ɬ৊ާȳɥăĆ! ࡜েఫඣɅ࠲ɩɥǐʓˋʗĜĪຄࢶ൥ߔ൥࡜‫ޠ‬ᅖॸĂშগ‫ݎ‬൥ߔۧහණ࢝ࠞࣃॸ࢞ஒĂຄ႘൥ߔ൥࡜‫ޠ‬ᅖဿ຦ࠫപॸ࢞ʓˋʗĜĂDFSfTīɈᇦ़ɅɢɤʨĜʙʻ˃ˁʴˁʠ˂Ĝɬव౰ȱĂ߂ʓˋʗĜɈູఋɂॸ࢞૝
દɬߤȥȱȹॸ࢞ɂ࣋‫ۋ‬ɬယඐĆᇦ़ȱɀଌૈȳɥăĆ! ණᆅऋ࠰ʟĜʗɈࢼᄵʏʑʞʸĪDFSfT! Hbjbīɬਡ੫โɅ๐ާĆ‫ۿ‬ᅙȱĂ௶ၡຕਗɅɢɥණ࢝ࠞࣃॸ࢞ɬ
ైమȳɥă
Ć! HDPN ʏ˂ĜʒɁɈॳ௠ʟĜʗʏɿɺ˂ˋʈɬ਄ȠĪʯ˅ʈˁʸǍɂɈᇦ़īăś୭๘‫ݻ‬൨ćɌɘɩɤǔğǕਖʟĜʗɬߤᅙȱȹ˂ʺĜʠʓˋʏˋʈ଴ၭɈާཡ
āāāāāāĪOpwfm!sfnpuf!tfotjoh!cbtfe!po!Ijnbxbsj.90:!nfufpspmphjdbm!tbufmmjuf!ebubīĆ! ɌɘɩɤǔਖൎܾɈʶ˃ʙʙʻˋʥ˃ɬᅙȞȹ਒౼๱ਏ౉ʵʞˋʏʻ˃ʶʛʯɬާཡĆ੼౰ȳɥăĆ! ʇˁɾʡࡳ୹ɬߤᅙȱĂɌɘɩɤǔğǕਖʟĜʗɂණ௫ࠫപᄀʟĜʗĪਏ౉ᆲĂ൥࡜ܸಹʺʣʗ˂ˋʈຑīɬஈ˂ɺ˃ʗɼʸɁ਒ബ‫ݢ‬૗‫ݛ‬ȳɥࡳ୹ɬާཡȱĂ˂ʺĜʠʓˋʏˋʈ଴ၭɅɢɥࠞࣃॸ࢞Ʌߤᅙȳɥă
Program 2: Integrated use of geoinformation
This program aims to promote atmospheric/terrestrial environmental studies based on integrated use
of geoinformation including satellite remote sensing data, ground measurement data, and extracted
environmental data. Main research subjects in this program are correction and preprocessing of satellite            
by integrating satellite data and ground data, and extraction of atmospheric/terrestrial environmental
parameters. This program has close relationship with the operation of the data distribution and sharing
systems of the whole CEReS.

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Įॸ࢞໘ᅎɂိ౰3:༃๱Ɉ౰‫ݪ‬į

ş2/3/2/ā!!ɌɘɩɤǔਖɂʭɿĜʒʡɺ˄ɼ࡜௣˄Ĝʘວ૪ࠫപɅɢɥĂಓᅸ‫܀‬໘Ɉဘᆅ!
‫ݿ‬าɈ૪࠰ဿ‫! !ݛ‬Īᄘ៛లષĮಫᅝ൥ߔᆅߔငණ࢝‫ݨߔݨ‬ǐ༃įĂ樋৏ຼૂīɌɘɩɤǔਖɉ୦ᅰɈಇો࡜௣‫ܒ‬౳ĪNUTBUīɅ྘ɓĂ໲Ⴈ‫ۊ‬ɁɈࠫപɉǎယ41࿓Ʌ‫ޑێ‬ɂྦᄠโɅࠫപ
࿡๱ɬഝɞȱă‫܀‬Ɉ౺౰ཡൿɬۧහȥɣʺʣʗ˂ˋʈȳɥȭɂȦ‫ݢ‬༑ɂɄȽȹă‫ێ‬ၫĂණ௫ࠫപĂູɅණ௫ಡ඲
˄ĜʘɅɢɥ۫‫܀‬Ɉ෸ಞࠫപɉĂှ༜௶ၡɈߤᅙĪY.SBJOīġʭɿĜʒʡɺ˄ɼ‫ݛ‬Ʌɢɥ਒૪࠰࠰ߒɁɈǏ૫ইोപɒɂమ‫ݛ‬ȱɀȧȹăႨʓˋʗĜɁɉĂ໲ႨჟೀĂ႕‫ܒ‬൥ߔ৫Ăಫᅝ൥৙ߔॸ࢞‫ݨ‬൩ᄘॸĂც౳๝࡜ຑɂɈ
ࢼວॸ࢞ɬฆȲĂಫᅝॻႈ഍‫ۊ‬ɁɈಓ‫܀‬Ɉ഍ਗโɄࠫപɬॅറȱɀȞɥăࣷ༃Ɂɉ໲ႨჟೀȦާཡȱȹʭɿĜʒʡɺ˄ɼ࡜௣˄ĜʘĪಫᅝીᆶࣾ๲࡜Ʌಡ඲īɅɢɤĂ41࿓Ɉ෰਒૪࠰࠰ߒɁɈǏ૫ই৭ഢࠫപȦଌএȱɀȞɥăႨॸ࢞ɁɉĂ‫ܒ‬౳Ăණ௫ोപࢼɅྦᄠโɅࠫപ࿡๱Ȧ௫ȦȽȹʟĜʗɬ೨əਗɩȵɥȭɂɁĂಓᅸ‫܀‬໘Ɉဘᆅ‫ݿ‬าɈ૪࠰ဿ‫ݛ‬ɬฃȽȹăൎ௣ૢᇉɉ3127༃ǔॢǐ໲Ʌႈ഍཰๿௫Ɂཡ౺ȱȹǐȾɈಓᅸ‫܀‬ɁȜɥăɌɘɩɤǔਖʟĜʗɬᅙȞɥɅȜȹɤĂಪ਄ॸ࢞ɁᅙȞɣɦȹ‫܀‬Ɉ৉ߔโৎȯĂ‫܀‬ᆙɈᄵৌ཰शຑĂ‫܀‬Ɉ৉ߔູ౯ɅශᄆȱȹăȭɦɣɈ‫܀‬ဘᆅᆲɉĂKBYB0FPSD-!DFSfT ࢊۙஂ࣋ୂɈඹෂ‫܉‬௃્ȦާཡĆ‫ۿ‬ᅙȳɥ໲ଗʯ˅ʘʇʠ BNBUFSBTT Ʌɢɤஈ˂ɺ˃ʗɼʸɁोધĂɺĜʃɼʮȯɦȹɜɈɬᆀᅙȱȹĪ‫܀‬Ɉ৉ߔູ౯ɉຄ
‫ޠ‬൥ߔ! ෂ๿ৗ࣋ୂ! Ȧާཡȱȹɺ˃ʌ˂ʒʸĂDBQDPN ɬੜᅙīă˄ĜʘʟĜʗɉ໲Ⴈჟೀɢɤอࢷȯɦȹၒ౷੟əǏ૫ই˄Ĝʘཱଗࣅ๱ʟĜʗĪeC[īɬᆀᅙȱȹă೐୺ɈฆɤĂႨ˄ĜʘʟĜʗɉ41࿓Ɉ਒૪࠰ယ‫ސ‬༑ɬপɥȹɛĂ˄ĜʘʀʋĜȦॽȢȹ૪ਟĪʭɹĜʑʠʀʋĜ૪ਟă‫ ݚڬ‬GF ૪īɬෂఘɂȱɀĂȷɈ೐ষɁĂɌɘɩɤɅɢȽɀຶɣɦȹ‫܀‬Ɉ৉ߔ௶ၡĪ೐ষīɂ˄ĜʘʀʋĜɂɈ࠲बĪDGBE Ɉ୬૾ɬ‫܀‬Ɉ৉ߔโৎȯɅဿȢȹ
DGPEE-!Oblbkjnb!fu!bm/-!3121īɅȾȞɀૢᇉ‫ސ‬಑ɬ਄Ƚȹăూ2/3/2/.2ɉǐȾɈૢᇉɈȠȻಓᅸ‫܀‬ǝɅൎȳɥĂ‫ܒ‬౳ࠫപɁຶɣɦȹ‫܀‬Ɉ৉ߔູ౯Ɉ૪࠰ဿ‫ݛ‬Ī௫īĂȤɢɍʭɿĜʒʡɺ˄ɼ࡜௣˄ĜʘɅɢȽɀຶɣɦȹ‫܀‬໘ငɈ˄Ĝʘཱଗࣅ๱Ɉ૪࠰਒๱ඣჶూɁȜɥă! ూ2/3/2/.2ɢɤĂGF ૪41ယ೐ɢɤ‫܀‬Ɉ৉ߔโৎȯĪಘೀīȦცᆬɅഝ‫ݡ‬ȱĪ21೐ষȥɣĂGF ૪෸ষɅ41ࣅɈʬĜʇɬ॒ȢɥīȷɈষɅ‫ݢ‬૗ཱଗᆎɈʬĜʇɬ॒ȢɀȞȹĪਥೀīȭɂɬനȢɀȞɥăGF ૪ষɁɉ DGPEE ɬᅙȞȹ‫ސ‬಑ɅɢɤĂಓᅸ‫܀‬Ɉˁɼʭʍɼʇ˃Ɉ‫ێ‬ငɬനȢɥȭɂɅ౰োȱȹĪూௐᆒīă਱ষɉȭȠȱȹૢᇉɬഝɞȱɀȞȩȭɂɁĂ‫܀‬ɈཡൿʹʃʣʒʸɈ‫ސ‬ცɅਇॷȳɥăȷɈȹɛɅૢᇉɈ૵຦ෆ୸ຑĂ૵຦‫ݛ‬Ȧ਱ষɈ‫ݻ‬൨ɁȜɥă

ూ2/3/2/.2ą!!ൎ௣ɂȱȹಓᅸ‫ ܀‬B!ɅൎȳɥĂĪ௫īɌɘɩɤǔਖɢɤຶɣɦȹʨˋʡǏĪಘīɈᆴ‫ۊ‬໘Ɉཱଗᆎ
1/63‫ڬ‬௫Ɉʬʇʓ˃ိࣧඩĪਥೀĂZ ૾˄ˋʐɉ1/66ġ1/96īĂBNBUFSBTT.DBQDPN Ɂైฤȯɦȹ‫܀‬ᆙɈᄵৌ཰शĪಆೀĂfgg!ඍ‫ ڮ‬onĂZ ૾੆ത˄ˋʐīĂైฤɅɢɥ‫܀‬Ɉ৉ߔโৎȯĪಘೀĂჟ૫ইĂZ ૾੆ത˄ˋʐīȤɢɍ৉ߔโৎȯɈဿ‫ݛ‬ᆎĪᆶೀĂZ ૾41ɈೀȦʔ˅Įဿ‫ݛ‬ჟȱįĂǌ
ġ41!ȦʶɼʢʑതɈဿ‫ݛ‬ĪĽ3/1ġǌīĂ41ġ71ȦʯˁʑതɈဿ‫ݛ‬Īǌġ3/1ī
īɬȷɦȸɦ૲ȳăĪ‫ݚ‬īʭɿĜʒʡɺ˄ɼ࡜௣˄Ĝʘɢɤຶɣɦȹ˄ĜʘཱଗۚાĪʃˁĜćeC[īă௫‫ݚ‬Ɉ૪ृᇙ૪ਟɉ
ਗɩȵɀȜɥăY ૾Ɉǌ૪Ȧ˄ĜʘɅɢɤ੕஑Ʌ˄ĜʘʀʋĜȦ໻ɛɣɦȹ૪ਟɅൎܾȳɥă

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ş2/3/3/ā!!‫ܒ‬౳ࠫപʟĜʗɂʺʟ˃Ɉຕਗ‫ސ‬಑Ʌɢɥᆌ‫ۊ‬ඖ೧େૅဿ຦Ɉ༘‫!ڐ‬!

Īી‫ۈ‬ሆలĂࣷນ‫ދ‬౮Įູ໸஝࣋įīᅕęɄ˂ʺĜʠʓˋʏˋʈʟĜʗɂණ௫ࠫപʥʛʠˇĜʇʟĜʗĂౘඩʺʟ˃ɬऄ઴ȱɀĂ଱Ʌᆌ‫ۊ‬ɅȤȫɥ
DP3ஃࠞɈ༘‫ڐ‬ɬଌૈȱɀȞɥă˂ʺĜʠʓˋʏˋʈʟĜʗɅȾȞɀɉĂঢ়‫ۊ‬ɬࣧଋɄ௸ॣɁฤࡖโɅࠫപȦɁȧɥȹɛĂঢ়‫ʺۊ‬ʣʗ˂ˋʈɅɉᄵৌɁȜɥăȯɣɅĂණ௫ࠫപʟĜʗɞౘඩʺʟ˃ɄɃɬ೨əȜɩȵɥȭɂɁຕਗโɄɢɤఒᅲɁȧɥ‫ސ‬಑Ȧ‫ݢ‬༑ɅɄɥăɘȴĂDP3ɞ౉ʭˁʛʇʑණ௫ࠫപʥʛʠˇĜʇʟĜʗĪBtjbGmvy-! KbqboGmvy ɄɃīɂ˂ʺĜʠʓˋʏˋʈ
ʟĜʗɬᆀᅙȱɀĂɺʐɺ‫ۊ‬ঢ়‫ۊ‬ɅȤȫɥ൥࡜Γᆌ‫࠰ۊ‬Ɉ DP3ɞ౉ʭˁʛʇʑɈైฤɬ਄ȽȹăBtjbGmvy ʍɼʠɞȷɈ഼ࠫപʟĜʗɂ‫ܒ‬౳ࠫപʟĜʗĪNPEJT ʟĜʗīɬᆀᅙȱɀĂ࡙‫୔ߔޟ‬ၭĪʍʵĜʠʱʇʗ‫࡚ޑ‬īɅăႨॸ࢞ɁɉĂBtjbGmvy
ɢɤঢ়‫ۊ‬ɅȤȫɥ DP3ɞ౉ʭˁʛʇʑɬైฤȱȹĪJdijj!fu!bm/!3128<!K/!Hfpqizt/!Sft/īɄɃɈ DP3ɄɃɈණ௫ࠫപʍɼʠʟĜʗɬେୠȱȹɜɈɂࠫപʍɼʠɈ‫ڮ‬඲Ʌഊຎȳɥ‫ܒ‬౳ࠫപʟĜʗĪUfssb-!
Brvb! NPEJT ɄɃɬᆀᅙīɬᆀᅙȱɀĂࠫപʍɼʠɅȤȞɀ࡙‫୔ߔޟ‬ၭĪʍʵĜʠʱʇʗ‫࡚ޑ‬īɅɢɤॄঅโ
Ʉʺʟ˃ɬ৭භȱȹăȯɣɅĂȷɦɣɬᅙȞɀঢ়‫ۊ‬๐ާȱȹăȭɈైฤय़‫ݪ‬ɬॳ௠ȱȹय़‫ݪ‬Ă୦ᅰঢ়ȩᅙȞɣɦɀȧȹ NPEJT ʓˋʍʟĜʗɅɢɥ৉ਗ౰ᆲʯ˅ʘʇʠɅ྘ߏȱɀ߆ඦɅɢȞ౼๱ɬ૲ȱȹăȯɣɅĂ৉ਗ౰ᆲɅ‫ݡ‬ȢɀĂ஋౺ൔृ DP3ৄࠓᆲɅȾȞɀɜॳ௠ɬ਄ȞĂႨॸ࢞଴ၭȦ୦ᅰঢ়ȩᅙȞɣɦɀȧȹౘඩʺʟ˃Ʌ྘ߏ
ȱɀ߆ඦɅ౼๱Ȧ৐௫ȳɥȭɂɬ૲ȱȹăႨ໘ᅎɅ࠲ᇦȱȹ‫ސ‬ತࡥૢɬ໲ႨাĪી‫ۈ‬ɕȥ -! 3129! ໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬૛īĂܑাĪJdijj! fu! bm/! 3129<! jMFBQT! ofxtmfuufsīɁ୸ཹȱȹăɘȹĂȭɦɣɈॸ࢞Ʌ੫ȱɀ໴ᆵʟĜʗɂȱɀ৭භȱȹᅕęɄ Ufssb!NPEJT ʯ˅ʘʇʠɬႨʓˋʗĜɈ GUQ ʍɼʠɅ৊ާȱȹăĪguq;00npejt/ds/dijcb.v/bd/kq0jdijj0EBUB0NPEJT0īూ2/3/3/.2ą࡙‫୔ߔޟ‬Ʌɢɥᆌ‫ ۊ‬DP3ʭˁʛʇʑైฤ଴ၭɈ‫ޱ‬༄ూɘȹĂ‫ܒ‬౳ࠫപʟĜʗɅ‫ݡ‬ȢɀĂᅕęɄౘඩʺʟ˃ɬᆀᅙȳɥȭɂɁĂᆌ‫ۊ‬ඖ೧ஃࠞɈ‫ސ‬ცɬమɛɀȞɥăႨ༃๱ɉຄ໤ɺʐɺණ‫ۊ‬ɅශᄆȱĂ‫ࢦݿ‬41༃࠰ɅȤȫɥᆌ‫ ۊ‬DP3େૅɈဿ຦ɂȷɈʹʃʣʒʸɈ༘‫ڐ‬ɬ਄ȽȹĪLpoep!fu!bm/!3129<!Obuvsf!Dpnnvojdbujpotīă઴ᅙȱȹʟĜʗɂȱɀɉĂᆌ‫ʺۊ‬ʟ˃Ɉഊ঱྘ߏॸ࢞ʯ˅ʐɿ
ʇʠɁȜɥ USFOEZ Ʌ࠸ɘɦɥʺʟ˃Īʴʠʸɺʛʯ଴ၭīĂ൥࡜ DP3༏๱ȥɣ൥࡜Γᆌ‫ۊ‬Ɉ DP3ৄࠓᆲɬై
ฤȳɥ൥࡜ɼˋʨĜʑʺʟ˃Īʠʛʯʘɾˋ଴ၭīĂණ௫ࠫപʟĜʗɂ‫ܒ‬౳ʟĜʗɬ࠸ɚತცဿౘ࠰Ɂ࡙‫୔ߔޟ‬Ʌɢɤঢ়‫ైۊ‬ฤȱȹय़‫ݪ‬ĪGMVYDPN<!Kvoh!fu!bm/!3128īɬ࠸ɚăɘȴĂ࡙‫୔ߔޟ‬Ʌɢɥय़‫ݪ‬ɂ USFOEZ ʺʟ˃Ʌɢɥय़‫ݪ‬ɅȾȞɀɉĂᆤଞɈ࠰Ɂॄ༃ဿ຦Ʌ࠲ȱɀɢȩ‫ێ‬ඳȳɥȭɂȦယȥȽȹăȯɣɅ‫ࢦݿ‬41༃Ī2:91.
311:༃īɅȾȞɀĂ21༃ඍ‫ڮ‬Ɉ DP3େૅɈဿ຦ɬߊ໻ȱȹɂȭɧĂUSFOEZ ʺʟ˃Ʌൎȱɀ๲ණᆀᅙဿ‫ݛ‬Ɉৌ‫ݪ‬ɬ໴ɦɥȭɂɅɢɤĂ‫ࢦݿ‬41༃Ɉ DP3େૅȦʴʠʸɺʛʯ଴ၭĆʠʛʯʘɾˋ଴ၭɈ࠰Ɂ‫࠭ێ‬ȱȹăȯɣ
Ʌ3111༃ൣɅȤȞɀɉĂ2:91.2:::༃Ɉࡖ࠰Ʌ྘ߏȱɀᆌ‫ۊ‬Ȧ DP3ɬ࢓େȳɥभ৐ɅȜȽȹȦĂȭɦɉ3111
༃ൣɅȤȞɀࣅȞʀ˃ʣĜʣʿএ௣ȦࡧȭɣɄȥȽȹȹɛɂ૲੄ȯɦȹăȭɦɣɈय़‫ݪ‬ɉĂʯ˄ʑ˂˂Ĝʑɬ਄ȞĂထౘɈఛဧɞɼˋʗĜʥʛʠʹʟɻɺɁ௘‫ގ‬ȯɦȹă

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ť๲ණᆀᅙဿ‫ݛ‬Ɉ‫ࣗ܆‬Ȝɤćঢ়Ȟཱྀ‫ڱ‬Ɂ DP3༧୸Ȧॽɣɦɥť๲ණᆀᅙဿ‫ݛ‬Ɉ‫ࣗ܆‬Ʉȱć
ຄ໤ɺʐɺ೔‫ۊ‬Ɂ
DP3࢓େभ৐

ూ2/3/3/.3ą!!ຄ໤ɺʐɺɅȤȫɥ‫ࢦݿ‬41༃࠰Ɉ DP3େૅైฤय़‫ݪ‬Īᆌ‫ۊ‬౺ൔृʺʟ˃Ʌɢɥైฤय़‫ݪ‬īă੆ూɉ๲ණᆀᅙဿ‫ݛ‬Ɉ‫ࣗ܆‬ɬ࠸ɛɄȞ୦ᅰɈय़‫ݪ‬Ă‫ۦ‬ూɉႨॸ࢞Ɂอ૲ȱȹ๲ණᆀᅙဿ‫ݛ‬Ɉ‫ࣗ܆‬ɬ৽ᆞȱȹय़‫ݪ‬ɁȜɥă๲ණᆀᅙဿ‫ݛ‬Ɉ‫ࣗ܆‬ɬ৽ᆞȱȹय़‫ݪ‬ɅȤȞɀĂ഼Ɉ଴ၭĪʠʛʯʘɾˋ
଴ၭīɂ‫ێ‬ඳȱȹăĮLpoep!fu!bm/!3129!Obuvsf!Dpnnvojdbujpot ሄဦɅ࠲ȳɥʯ˄ʑཡ࿍૝ᆧį

ş2/3/4/ā੕ಪ඘˂ʺĜʠʓˋʏˋʈɅɢɥ൥࡜ࠞࣃဿ຦ॸ࢞Ī໴৮ల઺ī໲ႨɁɉ୽ȥɣ‫ݤ‬Ʌȥȫɀ৉‫ߔݛ‬ʑʺʛʈ෉‫ڷ‬ၡȦཡᇇȯɦɥණ‫ۊ‬ȦȜɥă໩બ‫ݛ‬඾೧ĪOP3īɉ৉‫ߔݛ‬ʑʺʛʈɈ୭ᅟɄ೐ऄဘଋɈ‫ێ‬ȾɁȜɥɄɃĂ൥࡜ෂɈ৉‫ཱܾߔݛ‬ɅȤȞɀෂఘโɄᄜߠɬ‫ݪ‬ȹȱɀȞɥăɘȹĂ
OP3ɉȷɦ૵ൌȦఱൌɅ‫ࣗ܆ڏ‬ɬ࢒ɖȳ௫Ă൦જɈ‫ݗ‬ଆৌ‫ݪ‬ʄʑɁȜɥൎᆔ५ʂʖˋɈ೐ऄဘଋɁɜȜɥăȭɈɢȠɅĂOP3Ɉ൥࡜ෂ༏๱Ɉဿ຦ɬᆅ‫ސ‬ȳɥȭɂɉ࣡ɛɀ୭ᅟɁȜɥăႨॸ࢞Ɂɉɘȴ3128༃ɘɁɈ੕ఛɈ
‫ܒ‬౳ࠫപĪPNJĂHPNF.3īɈʟĜʗᅙȞɀĂൎᆔ५ OP3ܴ෸ʃˁʸ༏๱Ɉ༃ęɈဿ຦ʠ˄ˋʡɬĂOP3Ȧ྘ߏโ਒༏๱ɈǐȾɈᆴ‫ۊ‬Īാိᅖʱ˃ʠĂ࠲ຄĂ႘ࣻୋĂ࠲ಀīɅယȫɀॽಓɜȽȹă‫ސ‬಑Ɉय़‫ݪ‬Ă3118༃ȥɣ3128༃Ʌȥȫɀ໲Ⴈ೔ൌɁঌவभ৐ɁȜɥȭɂȦယȥȽȹăാိᅖʱ˃ʠʀ˂ɺɁɉ3118༃ȥɣ3128༃ɘ
ɁɈ21༃࠰Ɂ PNJĪᄝ43œīɂ HPNF.3Īᄝ32œīɈᆤၫɁცᆬɄঌவʠ˄ˋʡȦॽɣɦȹăPNJ ɂ HPNF.
ǎɈࠫപණၫ૪ਟɉġ24;56ɂġǕ;41ɄɈɁĂ໲ෂɈၫȦɢɤ൥ȧɄঌவȦࡧȧɀȞȹȭɂȦယȥȽȹăວᅕɅĂ࠲ຄʀ˂ɺɁɉȷɦȸɦᄝ4:œɂᄝ39œɈঌவĂ႘ࣻୋʀ˂ɺɁɉᄝ44œɂᄝ23œɈঌவȦࡧȧɀȞȹă࠲ಀʀ˂ɺɅȤȞɀɉĂʟĜʗౘȦුȱȩவɄȥȽȹ3127༃ɂ3128༃Ɉ HPNF.3ʟĜʗɬதȩɂĂວᅕɈঌவभ৐Ȧॽɣɦȹă‫ێ‬ၫĂಫᅝ൥ߔɅȤȞɀණ௫ȥɣɈ˂ʺĜʠʓˋʏˋʈĪNBY.EPBTīɅɢȽɀຶɣɦȹ
ʟĜʗɈ‫ސ‬಑ɜ਄Ƚȹăǐ൤Ɉ NBY.EPBT ക඲ɬᅙȞĂȷɦȸɦɈࠫപ૗ೀɬǐȾɈ‫ڽ‬Ʉɥၫ‫ڮ‬Īຄಀ໤႘īɅ৐ȫȹ๘ȦȭɈࠫപɈູ෡ɁȜɥăNBY.EPBT Ɉൎᆔ५ OP3ܴ෸ʃˁʸ༏๱ʟĜʗɬᅙȞɀʠ˄ˋʡ‫ސ‬಑ɬଌૈȱȹɂȭɧĂ೔ɀɈၫ‫ڮ‬Ɂঌவभ৐ȦॽɣɦȹăູɅ3126༃ȥɣ3128༃ɅȥȫɀĂ႘৐ȧɁɉᄝ23œĂ໤৐ȧɁɉᄝ27œɈცᆬɄঌவȦࡧȧĂȭɦɉຄ৐ȧĪǐœīɞಀ৐ȧĪǎœīɈঌவɢɤɜ൥ȧȥȽȹăȭɈय़‫ݪ‬ɉĂಫᅝ൥ߔɈ႘തɅɉ૵຦ଠຑɈৄฆᆲȦྥ௵ɅഽȞࠎೀັᇭȦĂ໤തɅɉ৙௲ɞಫᅝ‫ܘ‬ɄɃɈఱ࠰ߤ
຦Ɉ‫ࣗ܆‬Ȧ൥ȧȞණ‫ۊ‬ȦȜɤĂ૵຦ଠɞ৙௲ɂȞȽȹఱ࠰ߤ຦ȥɣɈ OPy ༧୸ᆲȦঌவȱɀȞɥȭɂɁತცɁ
ȧɥăȭɈȭɂɉɘȹĂ‫ܒ‬౳ʟĜʗȥɣॽɣɦȹय़‫ݪ‬Īఱ࠰ߤ຦Ɉ‫ࣗ܆‬Ȧ྘ߏโ൥ȧɄ࠲ຄɁ੕ɜ OP3ঌவᆲȦ൥ȧȞȭɂĂ໲ෂɈၫȦɢɤ൥ȧɄঌவȦࡧȧɀȞȹȭɂīɜತცȳɥăȭɈɢȠɅĂ3128༃ɘɁɈ੕ࣷɈࡖ
࠰ɅȤȞɀɜĂ໲ႨɁࡧȧɀȞɥ OP3༏๱Ɉঌவɉఱ࠰ߤ຦ȥɣɈ OPy ༧୸ᆲɈঌவɅɢɥȭɂȦ૲੄ȯɦȹă൥࡜ෂɈ໩બ‫ݛ‬ᆘ݉ĪTP3īɉĂબ౯۫ɞʀɺ˅ʖ˃Ɉ೐ऄ࡜ൌɂȱɀɈᄜߠɬฆȲɀఱൌɞ౺ൔृĂ࡜েຑɅ‫ࣗ܆‬ɬ࢒ɖȳăȷɈȹɛĂTP3Ɉ༏๱ဿ຦ᅟۚɬ‫ސ‬ცȳɥȭɂɉ୭ᅟɁȜɥăȭɦɘɁ TP3Ɉࠫപɉ଱Ʌණ
࿍༏๱Ʌ்๘ȦຎɀɣɦɀȧȹȦĂʀɺ˅ʖ˃ᅅപʺʟ˃ɒɈʟĜʗວ‫ݛ‬ຑɈܾᅙॸ࢞Ʌᆀᅙȳɥ௫Ɂɉऋ࠰
ൣ࿍౯Ʌᆗ‫ڷ‬ȳɥྼᅟȦȜɥăႨॸ࢞ɁɉĂණᆅโɅᅕęɄ‫ࣗ܆‬ɬିȫɥࣻୋණၫĪဏ݊ॻ୽໲ીīɅȤȞɀĂ
3125Ľ3127༃Ʌഽ૾ੇယ࢓େယ৉ၭĪNBY.EPBTīɂঘɊɦɥණ௫˂ʺĜʠʓˋʏˋʈ଴ၭɅɢɥᇦറࠫപ
ɬ਄Ƚȹă༜ෳ‫ۊ‬421Ľ431on Ɉപฤʑʲʇʠ˃ɬ EPBT ၭɁ‫ސ‬಑ȱĂ਒๱ǌĽǍln ೸໘Ɉ TP3ိࣧ༏๱ɬ
౉ိʑʉĜ˃21ln า๱Ɂຩ୸ȱȹăࡖ࠰໘Ɉ໲੕൥ඩɈိࣧඩɉ4/4qqcw ȺȽȹă!਒༏๱໲Ʌශᄆȱɀʨʛʇʠˁʐɿʇʠ˂Ĝ‫ސ‬಑ɬ਄ȽȹɂȭɧĂ‫ݮ‬ટࡧ঍Ī‫چ‬೩ટĆઇ๿īɂ൥ᆌࡧ঍ĪෂਡĆ࠴ਡīɅ൥်Ɂȧȹă‫ݮ‬ટࡧ঍ɅȾȞɀĂ‫ݮ‬৏Ɉɢɤࣷႁɬฆ‫ݿ‬ȱȹऋ࡜‫ޒ‬ɕɃɢɤ਒༏๱ɬ૲ȳभ৐Ȧॽɣɦȹă‫چ‬೩ટɂઇ๿ȷɦȸ
ɦɅȾȞɀĂ໲੕൥ඩɈိࣧඩɉᄝ7/6qqcwĂᄝ5/1qqcw ȺȽȹăູɅ‫چ‬೩ટɉ3127༃21ॢǔ໲Ɉཎཡโလ‫ݮ‬Ɉ‫ࣗ܆‬Īᄝ44qqcwīɜॽɣɦȹă഼ၫĂ൥ᆌɈ‫ࣗ܆‬Ʌɢɥ໲੕൥ඩɈိࣧඩɉᄝ3/5qqcw ɁȜȽȹăTP3༏๱

― 26 ―

ɂෂਡĆ࠴ਡ௫ऋɁɈऋ࡜‫ޒ‬Ɉ൘ᆗ૪࠰ȤɢɍࠫപණɘɁɈᄪഗ૪࠰ɈෳȯɂɈ࠰ɅცߊɄഊ࠲ɉॽɣɦɄȥȽȹă‫ڬ‬௫Ɉय़‫ݪ‬ȥɣࣻୋɅȤȫɥ TP3༏๱Ɉ଱Ʉဿ຦ᅟۚɉ‫ݮ‬ટɁȜɥȭɂȦယȥȽȹă

ş2/3/5/ā!!HPTBU ‫ܒ‬౳Ɉ඗༜ෳಘެ࢒ɍ༂ಘެʨˋʡɈ໩બ‫ݛ‬ඖ೧࡜෈ိࣧ༏๱ʟĜʗ!
Ɉ྘ߏĪᥓນஶાī‫ݗ‬ଆৌ‫ݪ‬ʄʑࠫപࡳ୹‫ܒ‬౳ HPTBUĪHsffoipvtf! Hbtft! Pctfswjoh! TbufmmjufīɅ຃੪ȯɦɀȞɥ UBOTP
ĪUifsnbm!Boe!Ofbs.jogsbsfe!Tfotps!gps!dbscpo!PctfswbujpoīĽ GUT Ɉ඗༜ෳಘެĪTXJSīʨˋʡ࢒ɍ༂ಘ
ެĪUJSīʨˋʡȥɣɉĂ໩બ‫ݛ‬ඖ೧࢒ɍʹʗˋɈ࡜෈ိࣧ༏๱ĪYDP3ĂYDP5īɂܴ෸༏๱ယ࿫ɬວ૪Ʌວ૗
ᄘɁࠫപȳɥȭɂȦ‫ݢ‬༑ɁȜɥă࡜෈ိࣧ༏๱ɉ࡜෈߿ഇऋ࡜ᆲɅൎȳɥൎ௣࡜ൌᆲɈ྘ᆎɬ૲ȱɀȤɤĂܴ෸༏๱ယ࿫ɈʟĜʗɂ೨əਗɩȵɀ‫ސ‬಑ȳɥȭɂɁĂ໩બ‫ݛ‬ඖ೧ɞʹʗˋɈ௢੧Ʉ༏๱ယ࿫Ɉູ෡ɞᄪഗ‫ݿ‬าɈ‫ސ‬ცɅȾɄȦɥɂࡖ൒ȯɦɥăUJS ʨˋʡɈʟĜʗɅȾȞɀɉĂᥓນȦෂఘɂɄȽɀຄࢶ൥ߔ൥࡜‫ޠ‬ᅖॸ࢞ஒĂۧහਂऋॸ࢞ާཡ࡙৭Ăਡᆏࠞࣃॸ࢞ஒɂࢼວɁާཡȱȹɺ˃ʌ˂ʒʸɬᅙȞɀຩ୸ȱȹ໩બ‫ݛ‬ඖ೧ȤɢɍʹʗˋɈʯ˅ʘʇʠĪW12/YYīȦȳɁɅ౦‫ޢ‬ෂɈॸ࢞ଞɅ༯ఒȯɦɀȤɤĂʟĜʗଋɈॳ௠‫ސ‬಑ȦమɛɣɦɀȞɥĮTbjupi!fu!bm/-!3127-!3128-!Ipmm!fu!bm/-!3127-![pv!fu!bm/-!3127-!Pmtfo!fu!bm/-!3128į
ăႨॸ࢞ɁɉɘȴĂUJS ʨˋʡɈ໩બ‫ݛ‬ඖ೧ܴ෸༏๱ယ࿫ʟĜʗȥɣ༏๱ʨɼɺʑĮTbjupi! fu! bm/-! 3128įɬၒ౷ȱȹ௫Ɂ YDP 3ɬધ୸ȱĂວࡖȳɥ TXJS ʨˋʡɈ YDP3ʟĜʗɂ྘ߏȳɥȭɂɁĂUJS ʨˋʡɂ TXJS ʨˋʡȦ঱ȞɅსஊɈɄȞࠫപʟĜʗɂɄȽɀȞɥȥɬ෮ੈȱȹăȯɣɅĂTXJS ʨˋʡ࢒ɍ UJS ʨˋʡɈ YDP3ʟĜʗɬĂUBOTP Ľ GUT ɈʟĜʗஐᆅɂɉࠊ೔Ʌ຾ᆏɈ Opoizesptubujd! Jdptbifesbm! Bunptqifsjd! Npefm Ľ
cbtfe!Usbotqpsu!NpefmĪOJDBN Ľ UNīĮOjxb!fu!bm/-!3122-!3123-!3128įɁोધȯɦȹ YDP3ʟĜʗɂ྘ߏȱɀĂTXJS ʨˋʡ࢒ɍ UJS ʨˋʡɈ YDP3Ɉ༏๱ယ࿫Ȧ OJDBN Ľ UN Ɂ੔এȯɦɀȞɥȥɬߊ໻ȱĂȷɦȸɦɈʟĜʗɅॽɣɦɥ YDP3Ɉ༏๱ယ࿫Ɉູ෡ɬ෮ɓȹăȯɣɅĂऋৱ௫ऋɈਂऋ࡙ࠫപɈ໩બ‫ݛ‬ඖ೧ܴ෸༏๱ယ
࿫ʟĜʗȥɣધ୸ȱȹ YDP3ɂ UJS ʨˋʡɈ YDP3ʟĜʗɬ྘ߏȱĂऋৱ௫ऋɁɈਂऋ࡙྘ߏɬɜɂɅ‫ۀ‬๱൑်Ă਒๱်Ʌಡฤȱȹʨɼɺʑၒ౷ඩɈᄵৌ౯Ɉ࿎‫ݟ‬ɬ਄ȠɂɂɜɅĂਂऋ࡙ࠫപɅࡊȿȩ TXJS ʨˋʡɂ UJS ʨˋʡɈ YDP3ʟĜʗɈॳ௠‫ސ‬಑ɬ਄ȽȹăɘȴĂUJS ʨˋʡɂ TXJS ʨˋʡɈ YDP3ʟĜʗɬࡠಣȮɂɅ೔࢝Ɂ྘ߏɬ਄ȽȹɂȭɧĂ႘཰࢝Ɉ‫ۊޠ‬ɂʍʧˁੋཌྷණ‫ۊ‬ɬதȩᆌ‫ۊ‬ɁɉĂUJS ʨˋʡɂ TXJS ʨˋʡɈ YDP3ɉိࣧľǍœ‫ڬ‬໘Ɂ‫ێ‬ඳȱɀȞȹă‫ێ‬ၫĂ໤཰࢝Ɂɉ‫ۊޠ‬Ăᆌ‫ۊ‬ɂɜɅ UJS ʨˋʡɈ YDP3Ȧ TXJS ʨˋʡɈ YDP3ɢɤ਒ȞȭɂȦယȥȽȹăUJS ʨˋʡɂOJDBN Ľ UN Ɉ YDP3Ɉ྘ߏɅȤȞɀɜĂ໤཰࢝ɈǓॢɁɉ UJS ʨˋʡɈ YDP3Ȧ OJDBN Ľ UN Ɉ YDP3ɢɤცɣȥɅ਒ȩɄȽɀȤɤĂTbjupi! fu! bm/Į3128įɁอ‫ڨ‬ȯɦɀȞɥʨɼɺʑၒ౷ඩɅࡊȿȩ UJS ʨˋʡɈ໩બ‫ݛ‬ඖ೧ʟĜʗɈ༏๱ၒ౷ȦĂ໤཰࢝Ɉ๷ࡠɁɉ‫ݿ‬ၒ౷Ɉभ৐ɅȜɥȭɂȦ૲੄ȯɦȹă૫ɅĂණ௫ɅࣅȞཡ౺঍ȦɄȞʧˇɼୈ၃Īూ2/3/5/.2bīɅශᄆȳɥɂĂUJS ʨˋʡɂ TXJS ʨˋʡɈ YDP3
ɉိࣧľ1/3œ‫ڬ‬໘Ɂ‫ێ‬ඳȱɀȤɤĂUJS ʨˋʡɈ YDP3ɉ OJDBN Ľ UN Ɉ YDP3ɂȯɣɅᆯȞ‫ێ‬ඳɬ૲ȱɀȞɥȭɂȦယȥȽȹăɼˋʡĪూ2/3/5/.2cīɅȾȞɀɜວᅕɈय़‫ݪ‬Ȧຶɣɦȹă‫ێ‬ၫĂʍʧˁɈɢȠɄੋཌྷණ‫ۊ‬Īూ
2/3/5/.2dīɁɉĂ෇࠰Ɉ UJS ʨˋʡɈ YDP3ɉ TXJS ʨˋʡ࢒ɍ OJDBN.UN Ɉ YDP3ɢɤ௵ɅฝȞඩɂɄɤĂ‫ݤ‬ࡠɁ੕൥ǏœɈ࿹ʨɼɺʑȦȜɥȭɂȦယȥȽȹăUJS ʨˋʡɈ෇࠰ࠫപɈ YDP3ʟĜʗɅ൥ȧɄ࿹ʨɼɺʑȦ౺ȲɀȞɥঈۚɂȱɀĂUJS ʨˋʡɈ˂ʠ˂Ĝʨ˃ஐᆅ૪ɅಡฤȱɀȞɥණ࿍ჶʩˁʹĜʗĪණ࿍ჶ‫ݗ‬๱Ăණ࿍ჶଗ୸ᆎīȦĂູɅ‫ࡠݤ‬Ɉ໲ෂɈණ࿍ჶ‫ݗ‬๱Ȧ࣡඘Ʌ਒ȩɄɥʍʧˁੋཌྷණ‫ۊ‬ɁไಜɁɉɄȞȹɛɁȜɥɂైઍȯɦɥă

Īǽī!!!āāāāāāāāāāāāāā
ĪǾīāāāāāāāāāāāāāā!!!Īǿī
ూ2/3/5/.2ą!!3121Ľ3123༃ɈĪǽīʧˇɼୈ၃ĂĪǾīɼˋʡĂĪǿīʍʧˁੋཌྷୈ၃ɅȤȫɥ UJS ʨˋʡĪಘೀīĂTXJSʨˋʡĪಆೀīĂɺʯ˂ʂ˂ĪᆶೀīĂOJDBN Ľ UNĪ૓ೀī!Ɉ YDP3Ɉॢိࣧ༏๱ɂ UJS ʟĜʗɈॢႴɈ྘ߏʟĜʗౘĪTXJSĂɺʯ˂ʂ˂ɜວʟĜʗౘīɬ૲ȳă― 27 ―

ȯɣɅĂUBOTP Ľ GUT ɂਂऋ࡙ࠫപɁȜɥ Dpnqsfifotjwf! Pctfswbujpo! Ofuxpsl! gps! USbdf! hbtft! cz!
BJsMjofsĪDPOUSBJMīɈ DNFĮNbdijeb! fu! bm/-! 3119įɈࣷႁʟĜʗʲɺɬෆ୸ȱĂDNF Ɉ༏๱ʯ˅ʭɹɼ˃Ʌ UJS ʨˋʡɂ TXJS ʨˋʡɈȷɦȸɦɈ໩બ‫ݛ‬ඖ೧Ɉɺʱ˄ĜʐˋʈʃĜʥ˃ɬไᅙȱȹ௫Ɂ YDP3ɬધ୸
ȱĂUJS ʨˋʡ࢒ɍ TXJS ʨˋʡɈ YDP3ɂ྘ߏɬ਄ȽȹăUJS ʨˋʡɈ YDP3ɂ DNF Ɉ YDP3Ɉ༏๱ੇɉĂ౰๜ऋৱɂʳʦ˃˃ऋৱɁɉိࣧľ1/17œ‫ڬ‬໘Ăʟ˂ĜऋৱɁɉိࣧľ1/33œ‫ڬ‬໘ɁȜɤĂऋৱ௫ऋɁɈਂऋ࡙྘
ߏɬɜɂɅࡠಣ်Ă‫ۀ‬๱൑်Ă਒๱်Ʌಡฤȱȹʨɼɺʑၒ౷ඩɈᄵৌ౯Ȧ૲ȯɦȹăDNF ʟĜʗɂɈ྘ߏɬ
਄Ƚȹࡖ࠰೔ൌɁိࣧȳɥɂĂUJS ʨˋʡĂTXJS ʨˋʡɂɜɅ਒Ȟߊ๱Ɂ YDP3ࠫപȦɁȧɀȞɥɂ঒ȢɥȦĂ
ూ2/3/5/.3Ʌ૲ȳɢȠɅĂ߂ऋৱĂ߂ॢɁ྘ߏȳɥɂ TXJS ʨˋʡɂ UJS ʨˋʡɈ YDP3Ʌɉ༏๱ੇȦॽɣɦɥȹ
ɛĂᆤʟĜʗɈʟĜʗଋɬ౼ੈȳɥȹɛɅɉĂȯɣɅ်ɈఒᅲɁȧɥॳ௠ʟĜʗɬ઴ᅙȱȹ྘ߏɬ਄ȠྼᅟȦȜɥɂ঒Ȣɥă

ూ2/3/5/.3ą!3! 121Ľ3123༃Ɉ౰๜ਡ੫ऋৱ௫ऋɅȤȫɥʨɼɺʑၒ౷ষɈ UJS ʨˋʡɂDPOUSBJM0DNF ɈĂ
TXJS ʨˋʡɈ YDP3ʟĜʗɂDPOUSBJM0DNF Ɉ YDP3ʟĜʗɈੇĪĿīɂĂYDP3ʟĜʗɈੇĪśīȷɦȸɦɈॢိࣧඩĪUJSĽDNF ɉಘೀĂTXJS Ľ DNF ɉಆೀīɬ૲ȳăଟ૷ćDPOUSBJM0DNF Ɉ໩બ‫ݛ‬ඖ೧ʟĜʗɉĂ࡜௣ॸ࢞ஒɈ௄૊્Ă៛્Ăਡᆏࠞࣃॸ࢞ஒɈ෨๜્ɢɤอ
ࢷɬିȫȹɜɈɁȳăDPOUSBJM ʯ˅ʐɿʇʠɉ໲ႨਂऋĆ໲ਂੰචĆKBNDP Ɉഽ൥ɄࢾᆵɈɜɂɅଌૈȯɦɀȞɘȳăOJDBN Ľ UN ʟĜʗɉ DFSfT ࢼວᆀᅙॸ࢞Ɉ‫ࠞێ‬ɂȱɀ࡜௣ॸ࢞ஒĪএஒമćਡᆏࠞࣃॸ࢞ஒīɈඌ۩્ɢɤอࢷɬିȫȹɜɈɁȳă

ş2/3/6/ā!!࡜েఫඣृɅ࠲ɩɥʨĜʙʻ˃ˁʴˁʠ˂!ĪWMī!Ɉव౰! !
Ī࢏౦৘ცĂી‫ۈ‬ሆలĂ樋৏ຼૂĂᥓນஶાĂ໴৮ల઺ĂMbhsptbt!OpgfmĂ݊ႨৰīĮ‫ޱ‬ᅟį
઀਱Ɉ‫࡜௵ڽ‬௣Ć‫ݗ‬ඤ‫ݛ‬এ௣Ă‫ސ܀‬ജʺʟ˃Ɉ೔࢝ɁɈ‫ݲ‬ລຑɈఛȱȞ௻࣍‫ݚ‬ɅȤȞɀĂএ੭࡜েఫඣɈࡊࠎ
ʟĜʗɂɄɥఱ৙‫ܒ‬౳ʟĜʗɈେୠĆ‫ސ‬಑Ȥɢɍอࢷɉॸ࢞ʋʷʽʣʞɻɒɈਇॷɈəɄɣȴĂଜ‫ޏ‬ɒɈ௶ၡ࠮
ইɈࠫ๘ȥɣɜ‫ࡹڷ‬ȦȜɥăȭȠȱȹ༬ाȥɣĂණ࢝࡜েृɈఫඣɬ਄Ƞȹɛ‫ބ‬ȦਡɁ࡜েĆࠞࣃॸ࢞ɬైమ
ȳɥǐॸ࢞ஒĆॸ࢞ʓˋʗĜĪຄࢶ൥ߔ൥࡜‫ޠ‬ᅖॸ࢞ஒĮBPSJįĂშগ‫ݎ‬൥ߔۧහණ࢝ࠞࣃॸ࢞ஒĮJTFFį
Ăຄ႘൥ߔ൥࡜‫ޠ‬ᅖဿ຦ॸ࢞ʓˋʗĜĮDBPTįĂȤɢɍಫᅝ൥ߔࠞࣃ˂ʺĜʠʓˋʏˋʈॸ࢞ʓˋʗĜĮDFSfTįī
Ȧࢾລȱɀ‫ݜ‬೻ॸ࢞ଆĪʨĜʙʻ˃ˁʴˁʠ˂Ĉ‫ ݚڬ‬WMīɬव౰ȱĂ߂ࢪ๘Ɉູఋɂॸ࢞૝દɬߤȥȱȹॸ࢞ɂ࣋‫ۋ‬ɬ3118༃๱ɢɤယඐĆᇦ़ȱɀ਄ȽɀȞɥăWM! ɂȱɀණ࢝࡜েृఫඣɅ࠲ɩɥ୭ᅟɄ‫ݻ‬൨Ʌଲɤ೨əĂණ࢝‫ݗ‬ඤ‫ݛ‬ɼʣʏɺʙʮĂ౉ஃࠞɼʣʏɺʙʮĂණ࢝ࠫപຕਗʏʑʞʸĪHFPTTīຑɈ‫ބ‬ȦਡɅȤȫɥ୭ᅟ‫ݻ‬൨ɅਇॷȱɀȞɥăȭɈሌ೨əɈෂĂDFSfT ɉಇો࡜௣‫ܒ‬౳ʟĜʗɈେୠĆஐᆅȤɢɍ৊ާĂȤɢɍେୠȯɦȹಇો࡜௣‫ܒ‬౳ʟĜʗɈ਒๱‫ݛ‬Ă‫ސ܀‬ജʺʟ˃‫ޜ‬೑ɈȹɛɈ‫ܒ‬౳ʟĜʗɈᄵৌߤᅙĂȤɢɍএ௣ᆅ‫ސ‬ɈȹɛɈ߂ହ‫ސ‬಑ɬ਄Ƚɀ
ȞɥăDFSfT! WM Ɉູ෡ɂȱɀĂWM ࡙࠲ɈəɄɣȴĂ‫ܒ‬౳࠲ब࡙࠲Ī࡜௣ෝ‫ܒ‬౳ʓˋʗĜĂKBYB0FPSD ຑīĂმ࠰ࡅࣞĪɾɿʎĜʣʽĜʑīɂɈᇦ़ɬఠɛɀȞɥɈȦູ෡ɁȜɥăĮိ౰3:༃๱ߤ຦‫ޱ‬ᆒį
DFSfT Ɂɉ WM ૅ‫ܧ‬ଆɬಡȫ WM ైమĂWM ᇦ़࡙࠲ɂɈ෮౲ɈᄜߠɬඐȽɀȞɥăߤ຦ɂȱɀɉĂෂ߇โૢࣞɁȜɥಇો࡜௣‫ܒ‬౳ʟĜʗदɈஐᆅĆ৊ާɅ‫ݡ‬ȢĂఛȹɄᇦ़वൔɈჹઅɬ਄ȽɀȞɥăȱȥȱĂಇો࡜௣‫ܒ‬― 28 ―

౳ʟĜʗஐᆅɜȷɦɄɤɈɾɿĜʠɬಬɛɀȞɥȹɛĂʟĜʗʱĜʑ‫ޏۙڳ‬ĪʟĜʗૅ‫ܧ‬ଆīɂɜᇦ຦ȱĂৌᆎɈᆯȞ‫܄ۿ‬ɬ਄Ƞ๰ᆵɜॅറȱɀȞɥă৭౰ۙɉိ౰39༃๱ɘɁ੭ಔȱɀȞȹᤁાູ໸஝࣋Ȧ໸ࡖ჊ᆡɅɢɤ
‫ھ‬຦ȱĂိ౰3:༃๱ɢɤ! Mbhsptbt! Opgfm ્Ȧູ໸஝࣋ɂȱɀශ໸ȱȹăɘȹိ౰3:༃๱ɢɤ࣋ୂɂȱɀශ໸ȱȹી‫ۈ‬ሆల્Ʌɜ WM Ʌ‫ݡ‬ɩɤĂູɅඖ೧ஃࠞॸ࢞ɁɈᇦ़ࣅ‫ݛ‬ɬూȽɀȞɥă
ş2/3/6/2/ā!!ಇો࡜௣‫ܒ‬౳ʟĜʗȤɢɍ഼Ɉ‫ܒ‬౳ʟĜʗେୠĆஐᆅĆ৊ާ! !
Ī樋৏Ăඹෂ‫܉‬௃ĮKBYB0FPSD<!DFSfT!ࢊۙஂ࣋ୂįĂಆᄄĮʟĜʗૅ‫ܧ‬ଆįĂી‫ۈ‬ī
WM ާ઻ȥɣ‫࠭ێ‬ȱɀ໲ႨɈ NUTBUĆHNT ‫ܒ‬౳ĂဴਡɈ HPFT ‫ܒ‬౳Ă݂ୋɈ NFUFPTBU! ‫ܒ‬౳ĂෂਡɈ
GZ3‫ܒ‬౳ʟĜʗɅൎȱĂ‫ۀ‬๱Ľॄ๱੐࿈ृɒဿࠓɬૈȱȹʈ˂ʛʡʟĜʗɈ guq! ৊ާɬॅറȱɀȞɥăɘȹĂ
NFUFPTBU ʟĜʗɬதȞɀɉĂ༯ఒʟĜʗɈஈ˂ɺ˃ʗɼʸିఒĆʈ˂ʛʡဿࠓĆ‫ކ‬ജ੼౰Ćguq! ৊ާɈ੼ࣞɬ૵຦‫ݛ‬ȱɀȞɥăஈ˂ɺ˃ʗɼʸஐᆅɬȱɀȞɄȞ NFUFPTBU ‫ܒ‬౳दɅ࠲ȱɀɉĂNfufptbu.JEPDĪɼˋʡᅖ௫īɉ FVNFUTBU ʵĜʗ˃ʍɼʠɅʾĜʎ๨ሃȱĂʟĜʗɬɼˋʗĜʥʛʠॄᄻɁଲຶĂʈ˂ʛʡʟĜʗஐᆅɬʂʭˁɼˋɁ˃ĜʙˋஐᆅɂȱɀʟĜʗૅ‫ܧ‬ଆɈಆᄄ્Ʌ‫گ‬ᅲȱɀȞɥăʟĜʗᆲɈ൥ȧȞ NTH!
ĪNfufptbu!Tfdpoe!Hfofsbujpoīʏ˂ĜʒɉʫʐʿˋʞʛʇଜɬฆȲɀ FVNFUTBU ɅʟĜʗଲຶ‫گ‬ᅲɬ਄ȞĂǏˎॢယɬᄆ‫ڤ‬ɂȱɀ ubqf!ĪMUP5īɁʟĜʗଲຶɬ਄ȞĂʞĜʯɈ຿ə୸ȱĂʈ˂ʛʡʟĜʗஐᆅɬວȲȩʟĜʗૅ‫ܧ‬ଆɂࢾລȱɀଌૈȱɀȞɥăိ౰3:༃๱ɉʍĜʨɈ໴ɦൖȢ੼ࣞȦഽȩĪ21௕ EC ߤ຦ɬઞ௎īĂಇો࡜௣࠲बɁɉȭɦɘɁɈɢȠɄ൥ȧɄ຦ȧɉȭɦɘɁɂ྘ɓഊൎโɅவɄȥȽȹă! ိ౰39༃๱Ⴢɢɤ຦ȧ୸ȱȹ! HPFT.S ɒɈൎܾĪိ౰39༃๱
༃ၡɬઞ௎īɅȾȞɀɉĂHPFT.S Ɉ౷ૺɄ‫ۿ‬ᅙࡨັड़ฤĪय़ࣟ! ᇘൣɈ HPFT.FBTU ɂວȲ௲ஒĪ86/3XīɅ‫ھ‬຦ȳɥȭɂɬ!3128༃Ǒॢ36໲Ʌ౾ცĂວ༃23ॢ29໲ɢɤ౷ૺ‫ۿ‬ᅙīɈ‫ࣗ܆‬ɅɢɤĂိ౰41༃ǏॢჂএ੭Ɂ
ɉĂอࢷʭʁĜʶʛʠɁȜɥ! OfuDEG ʟĜʗɈ૵຦ଲຶʞʑʠɈඦިɁȜɤĂhsjeefe! qspevdu ɈଌകĂɺĜʃɼʮĆ৊ާຑɉိ౰41༃๱Ʌ૩Ȼ‫ܛ‬ȱɀȞɥă
ş2/3/6/3/āWM ɅȤȫɥ TLZOFU Ɉߤ຦ၡਠĪ໴৮Ă݊ႨīႨॸ࢞ɁɉĂTLZSBE/qbdl ɬ߇ɂȱɀާཡȱȹʑʃɼˁʐʂʹĜʗĜɈࢼฆ૵຦‫ސ‬಑ɺ˃ʌ˂ʒʸĪTS.
DFSfT-! wfstjpo! 2<! Npl! fu! bm/-! 3128īɬާཡĆ‫ۿ‬ᅙȱĂȷɈ࿎‫ݟ‬ɬଌૈȱȹăູ྾ȳɓȧާཡᅟ೧ɉĂʑʃɼˁʐʂʹĜʗĜɈʂˋʍɼʠʅʻ˂ʮ˄Ĝʏʿˋ଴ၭɁȜɥ Jnqspwfe! Mbohmfz ၭɂ Tpmbs! Ejtl! Tdbo ၭɬ੕ไ‫ݛ‬ȱȹȭɂɁȜɥăइൌโɅɉĂȭɦɘɁɉॢႴɅॳฤฤౘĪG 1īɬ཰૵຦โɅધ୸ȱɀȞȹȹɛɅஈ˂ɺ˃ʗɼʸ‫ސ‬಑ɉਲ໧ɁȜȽȹȦĂTS.DFSfT Ɂɉ‫ࢦݿ‬:1໲ɈʟĜʗɬ઴Ƚɀ Jnqspwfe!Mbohmfz ၭɁ໲ႴɅ G 1ɬધ୸ȳɥɢȠɅ‫ีޜ‬ȱȹȭɂɅɢɤĂஈ˂ɺ˃ʗɼʸ‫ސ‬಑Ȧ‫ݢ‬༑ɂɄȽȹăɘȹĂTpmbs!Ejtl!Tdbo ၭɅȾȞɀɉĂᇦറࠫപ૪ɅฤࡖโɅଌૈȯɦɥ Tpmbs!Ejtl!Tdbo ɅȤȞɀ࢙ɛɣɦɥᆏൌ૗ᄘߍĪTpmje!Wjfx!Bohmf<!TWBīɬࢊࠫโɄ௸ॣɁʑʇ˂ĜʣˋʈɁȧɥɢȠ‫ޜ‬ᆯȱȹăȭɦɣɉĂ୦ᅰɉ‫ێ‬ฤɈ૪࠰Īॢȥɣ༃Ɉ૪࠰ʑʉĜ˃īɬᅟȱɀȞȹʀɺ˅ʖ˃Ɉණ௫ࠫപɈʅʻ˂ʮ˄Ĝʏʿˋɬஈ˂ɺ˃ʗɼʸĪ‫ێ‬໲‫ڬ‬໘īɁ਄Ȣɥ‫ࡖކ‬โɄమ๐ɁȜɤĂ఻ബɄ‫ܒ‬౳ʟĜʗɈၒ౷Ć࿎‫ݟ‬ɞʟĜʗວ‫ݛ‬ɅᄜᆏȾă

ూ2/3/6/3/.2ą!!3127༃ǑĽǕॢɅ࠴ਡĆʕɾ˃Ɉ‫ܤ‬౦൥ߔɁଌૈȱȹʑʃɼˁʐʂʹĜʗĜɂ NGSTSĪဴਡʹ˂Ĝˁˋʡ൥ߔɈപࡉīɈວ૪ࠫപɈ྘ߏय़‫ݪ‬ă༜ෳႴɅʀɺ˅ʖ˃ඍ‫ێ‬ઢᅸɺ˃ʱ
ʡĪTTBī
ʟĜʗɈഊ࠲ʯ˅ʛʠɬ૲ȳă༜ෳ551on ɅȤȫɥʀɺ˅ʖ˃৉ߔโৎȯĪBPEī
Ȧ1/5ɢɤɜ൥ȧȞʟĜʗȦಘɁĂ1/3Ľ1/5ɈʟĜʗȦಆɁ૲ȯɦɀȞɥă― 29 ―

G 1ɅȾȞɀɉĂ3127༃Ǒ. ǕॢɅ࠴ਡĆʕɾ˃Ɉ‫ܤ‬౦൥ߔɅȤȞɀ OBTB ɈୠෂࠫപʅʻˋʲĜˋĪLPSVT.
BRīɈ‫ێ‬ငɂȱɀଌૈȯɦȹʑʃɼˁʐʂʹĜʗĜɈಫᅝ൥ߔ࿈ஈ࡙ɂဴਡʹ˂Ĝˁˋʡ൥ߔɈ Nvmujgjmufs!
spubujoh! tibepx.cboe! sbejpnfufsĪNGSTSīຑɂɈວ૪ࠫപɈ‫ސ‬಑ɬమɛĂູɅᆤଞɈʀɺ˅ʖ˃ູ౯Ɉഊ
঱྘ߏɬฆȲɀ࿎‫ݟ‬ɬ਄Ƚȹăూ2/3/6/3/.2ɉĂ‫ܤ‬౦൥ߔɁɈࠫപɈ೔ࡖ࠰ɅȤȫɥʑʃɼˁʐʂʹĜʗĜɂNGSTS Ɉʀɺ˅ʖ˃Ɉඍ‫ێ‬ઢᅸɺ˃ʱʡĪTTBīʟĜʗɈഊ࠲ʯ˅ʛʠɬ૲ȳăʑʃɼˁʐʂʹĜʗĜɈ TTB
ʟĜʗɉĂG 1Ɉߊ๱Ʌࣅȩ‫گ‬ശȳɥĪLibusj! fu! bm/-! 3127īăȱȥȱɄȦɣĂᆤଞɈඩɉ‫ޱ‬ɇľ1/14‫ڬ‬໘Ɂ‫ێ‬ඳȱȹȭɂȦယȥȽȹăȭɈȭɂȥɣĂTS.DFSfT Ɂધ୸ȱȹG 1Ʌɉ࡙ࡉɈ‫ݗ‬๱ຑɅɢɥູ౯Ȧ୥ယɅ৽ᆞȯɦĂ౼๱ᆯȩG 1Ȧຩ୸ɁȧɀȞɥȭɂȦ૲੄ȯɦȹă
TWB ɅȾȞɀɉĂ3128༃Ǔॢɂ22Ľ23ॢɅಫᅝ൥ߔɅȤȞɀୠෂࠫപĪಫᅝʅʻˋʲĜˋ3128īɬާ੓ȱĂȷɈෂɁ Tpmbs! Ejtl! Tdbo ɬଌ੫Ɉ๏࡜ɬᄆ૗ɁɜࠫപȱɄȦɣ෉‫ڷ‬ఠȩĂୠෂโɅଌૈȱȹăూ2/3/6/3/.3ɉĂ3128༃Ǔॢ24໲Ʌଌૈȱȹ Tpmbs! Ejtl! Tdbo Ɂຶɣɦȹാᅣ৉ࣅ๱ĪാᅣෂఘɈඩɁࡤ߆‫ݛ‬īȦઢᅸߍɈ࠲ౘ
ɂȱɀ૲ȯɦɀȞɥăȭɦɬಓယȱĂTWB ɉ1/35nts ɂॽಓɜɣɦȹăȭɈɢȠɄ౴๏໲ɈํळโɄʉĜʑɬ෮ɓȹɂȭɧĂാᅣȤɢɍȷɈୈ၃Ʌ‫܀‬ȦჟȞɂȧɉĂാᅣ৉ࣅ๱ȦാᅣɈෂఘ࿥ࣷɁɉʭˁʛʠɁĂȷɈެതɁɉઢᅸߍɈഝ‫ݡ‬Ʌ཮ȽɀঌவȱറȫɥɂȞȠ௸ॣɬ჊ȹȱɀȞɥȭɂȦယȥȽȹăȭɦɬࢊࠫโɄ௸ॣɂȳɥȭɂɁĂూ2/3/6/3/.4ɈɢȠɅไಜɅʑʇ˂Ĝʣˋʈɬ਄ȢɥȭɂȦယȥȽȹăȭɈʑʇ˂ĜʣˋʈɬૈȳȭɂɁĂTWB ɉľ1/12nts Ɉ౼๱Ɂ࢙ɘɥȭɂȦယȥȽȹă௫ࡥɈɢȠɅႨॸ࢞Ɂ੕ไ‫ݛ‬ȱȹ Jnqspwfe! Mbohmfz ၭɂ Tpmbs!Ejtl!Tdbo ၭɬᅙȞɀĂȭɦɘɁຶɣɦȹ TLZOFU ࠫപɈ‫ࢦݿ‬ʟĜʗɈ੔‫ސ‬಑ɬଌૈȱĂȷɈʯ˅ʘʇ
ʠɬɺĜʃɼʮ‫ݛ‬ĂTLZOFU ʳĜʸʲĜʐɁ৊ާȱȹă

ూ2/3/6/3/.3ą!3! 128༃Ǔॢ24໲ɅTLZOFU ಫᅝʍɼʠɁଌૈȱȹ Tpmbs! Ejtl! TdboɁຶɣɦȹാᅣ
৉ࣅ๱ĪാᅣෂఘɈඩɁࡤ߆‫ݛ‬īɈယ࿫ɈᇉăઢᅸߍɈ࠲ౘɂȱɀ૲ȯɦɀȞɥă

ూ2/3/6/3/.4ą!T! pmbs!Ejtl!Tdbo ၭɁॽಓɜɣɦȹ TWBĪ༜ෳ611onīɈ૪ृᇙă‫ܤ‬౦൥ߔĪ࠴ਡīĂʶɾʢ˅ɺĪɺʹ˂ʃīĂTLZOFU ಫᅝʍɼʠɅȤȞɀວ‫ێ‬ɈʑʃɼˁʐʂʹĜʗɅɢɥࠫപɁຶɣɦȹʟĜʗȦʯ˅ʛʠȯɦɀȞɥăಫᅝɁɉĂ3128༃Ǔॢɂ22Ľ23ॢɈಫᅝʅʻˋʲĜˋɅȤȞɀୠෂโɅTpmbs! Ejtl! Tdboɬଌૈȱȹă‫ݡ‬ȢɀĂ഼Ɉࡖ࠰Ʌฆ௵ࠫപɁຶɣɦȹʟĜʗɜ૲ȯɦɀȞɥă೔ɀɈʟĜʗɬ‫ޡ‬ఋɁ૲ȳăಘȞ๘ɉĂూ2/3/6/3/.3ɈɢȠɅĂാᅣ৉ࣅ๱ȦാᅣɈෂఘ࿥ࣷɁɉʭˁʛʠɁĂઢᅸߍɈഝ‫ݡ‬Ʌ཮ȽɀঌவȱറȫɥɂȞȠ౴๏௸ॣɬ჊ȹȱȹʟĜʗɬ૲ȳă― 30 ―

ş2/3/6/4/ā!!ණ௫ಡ඲ɈʃʹˁʏʑʞʸɅɢɥᄕ࠰ɅȤȫɥ‫܀‬ोപ! !
ĪOpgfm!Mbhsptbt-Ă࢔ႨާఱĮ৙ߔင௶ၡ‫ކ‬ജߔ‫ݨ‬ലॸ౺į
Ă!࢏౦৘ცīᄕ࠰Ɉ‫܀‬Ɉॳ୸ɅɉĂ‫ܒ‬౳ɈಘެʨˋʡɈɕȥĂණ௫ಡ඲ɈˁɼʘĜĂ˄ĜʘĜɞ྘ߏโ਒‫ݟ‬Ʉ JS ʃʹˁȦȱɊȱɊ઴ᅙȯɦɥăႨॸ࢞ɁɉĂ‫ݟڤ‬Ʉʟʐʗ˃ʃʹˁɬᄕ࠰‫୸ॳ܀‬ɅᅙȞɥȭɂɬ૚əɀȞɥăᄕ࠰Ɉ‫܀‬ɈᇦറโɄࠠ
૗ɅɢȽɀĂᄕ࠰Ɉ‫܀‬ᆲɅ࠲ȳɥʟĜʗɬଲຶɁȧɥăȭɈʩˁʹĜʗɉĂණ௫‫ݗ‬๱ɂ‫܀‬Ɉཡ౺Ɉ࠲बɅᄜᆏȻĂɘȹĂᇦറोപɈˁɼʘĜʟĜʗɂɈ྘ߏ
Ʌɢɤʀɺ˅ʖ˃Ć‫܀‬ഊ঱੼ᅙɈ‫ސ‬ცɅɜਇॷɁȧɥăȯɣɅĂॢȮɂɞࡠಣȮɂɈ‫܀‬Ɉཡ౺ᆲɅ࠲ȳɥඪॽɜຶɥȭɂȦ‫ݢ‬༑ɁȜɥăᄕ࠰Ɉ‫܀‬ɈപฤɅฝ௎๱Ɂ਒ࠐ๱ɈʃʹˁĪDbopo! B3411īɬᆀᅙȱɀȞɥăȭɈʃʹˁɉ DFSfT! 6G Ɉࠫപଆȥɣࣚߍᄝ41ŋɁ႘ၫ৐Ɉऋɬࠫപȱăએ‫܆‬ɁɉĂʯ˅ʈˁʸɀȤɤĂࠫപᆏൌߍɉᄝ1/88ts ɁȜɥĪూ2/3/6/4/.2ī
ɅɢɤǑယȮɂɅǍʏĜˋɬ૵຦โɅଲຶȳɥă‫ކ܀‬ജɉཆఋɁȜɥȹɛĂऋ‫ކ‬ജɉฆ௵Ɉ SHC ʭʁĜʶʛʠȥɣʈ˄ĜʑʉĜ˃ɅဿࠓȱĂඍ஋Ʉᷫඩɺ
˃ʌ˂ʒʸȦไᅙɁȧɥɢȠɅȱɀȞɥăɕɖǍ༃ɅɩȹɥोപɬฆȲɀĂඍ஋Ʉᷫඩʬʇʓ˃ඩĪEOŁ28īɬᅙȞɀ‫܀‬ʬʇʓ˃ɬ‫܀‬ɄȱɈʬʇʓ˃ɂࣾ
ూ2/3/6/4/.2ą!ᄕ
! ࠰ ‫ ୸ ॳ ܀‬ᅙʃ်ɁȧɥȭɂȦცɣȥɅɄȽȹăʹˁʏʑʞʸూ2/3/6/4/.3b-!cɉĂ‫܀‬Ʉȱ࢒ɍ໔๏૪ɈऋɈ‫ކ‬ജʪʑʠʈˁʸɬ૲ȳă߂‫ކ‬ജɅȤȫɥ‫ྡ܀‬ဒᆎɉĂ೔ʬʇʓ˃ౘɅൎȳɥ‫܀‬ʬʇʓ˃ĪEOņ28īɈ྘ᆎɂȱɀຶɣɦɥăూǏɉĂ3128༃ǒॢǍ໲ȥɣǎ໲ɅȥȫɀǑယ࠰ȤȧɅએ‫܆‬ȯɦȹ‫ކ‬ജȥɣപฤȱȹ‫ྡ܀‬ဒᆎɈ૪࠰ဿ‫ݛ‬ɁȜɥăਡᆏࠞࣃॸ࢞ஒ!
ĪOJFTī
!Ɉܴ෸ࠫപˁɼʘĜȦಫᅝ൥ߔ໘Ɉʃʹˁȥɣ398n ᆋɦȹ‫ڮ‬඲Ɂᇦറोപɬ਄Ƚ
ɀȞɥăǒॢǍ໲ȥɣǑ໲ɈOJFTˁɼʘĜʟĜʗĪiuuq;00xxx.mjebs/ojft/hp/kq0Dijcb0bsdijwft0281712.281716/
qohīɉĂǒॢǍ໲Ɉᄕȥɣᅪǎ໲Ɉǌ૪ɅȥȫĂಫᅝ൥௫ऋǑġ22lnɈ਒ȯɅ‫܀‬ฦȦശ੭ȳɥȭɂɬ૲ȱɀȞɥă‫ྡ܀‬ဒᆎɈ૪࠰ဿ‫ݛ‬ɂ྘ߏȳɥɂĂȭɈȭɂɉĂʃʹˁȦ੕൥22lnɘɁɈ‫܀‬ɬॳ୸Ɂȧɥȭɂɬ૲ȱɀȞɥăǌ૪‫ڬ‬ਏɈ‫ྡ܀‬ဒᆎɈฝ‫ݚ‬ɉĂOJFTˁɼʘĜɈʟĜʗɂ‫ێ‬ඳȱɀȞɥăණ௫ಡ඲ɈႨʃʹˁʏʑʞʸȥɣຶɣɦɥᄕ࠰
Ɉ‫ྡ܀‬ဒᆎʟĜʗɉĂ‫ܒ‬౳ʟĜʗȥɣຩȧ୸ȯɦȹ‫ྡ܀‬ဒᆎɬॳ௠ȳɥȹɛɅᄵᅙɁȜɥăȭɈ‫ݟڤ‬ɄʏʑʞʸɉĂູɅಘັ࿥ࣷɈᅕęɄණ‫ۊ‬ɁɈ‫ྡ܀‬ဒᆎɈॸ࢞ɅไȱɀȞɥă‫ڽ‬Ʉɥ௲ஒȥɣɈʟĜʗʓʛʠɬယ಑ȳɥȭɂɁĂ࡜েॸ࢞ɅȤȞɀ୭ᅟɄ൥࡜ෂɈࣟஒโɄ‫܀‬ɈᄜߠɅȾȞɀɈ௶ၡȦຶɣɦɥȭɂȦࡖ൒Ɂȧɥă

ూ2/3/6/4/.3ą!ʬ
! ʇʓ˃Ɉʟʐʗ˃ඩɈʪʑʠʈˁʸĪǽī‫܀‬ɈɄȞ౴๏૪Ī3128༃ǒॢǎ໲!33;46!KTUīȤɢɍĪǾī‫܀‬ɈȜɥ‫ކ‬ജĪ3128༃ǒॢǍ໲!14;26!KTUīăూ2/3/6/4/.4ą!3! 128༃ǒॢǍ໲ġǎ໲Ʌࠫപȯɦȹ‫ྡ܀‬ဒɈ૪࠰ဿ‫ݛ‬ă

ూ2/3/6/4/.5ą!ಫ
! ᅝ൥ߔʅʻˋʩʑɅȜɥࠞࣃॸˁɼʘĜɁࠫപȯɦȹ3128༃Ǒॢ42໲ȥɣǒॢǐ໲ɅȥȫɀɈ‫܀‬Ćʀɺ˅ʖ˃ষၫઢᅸఒਖă― 31 ―

ş2/3/6/5/ā!!WM ਆ୔‫ޏ‬Ăࢾࡼ‫ޏ‬
ိ౰41༃ǏॢǍ໲ġǎ໲Ɉ໩໲Ʌ๧ɤĂ൦22‫ޑ‬Ķණ࢝࡜েृɈఫඣɅ࠲ɩɥʨĜʙʻ˃ˁʴˁʠ˂ĜĪWMī
Ɉव౰ķਆ୔‫ޏ‬ȦĂშগ‫ݎ‬൥ߔۧහණ࢝ࠞࣃॸ࢞ஒȦʳʑʠ࡙࠲ɂȱɀĂშগ‫ݎ‬൥ߔ FT ഍ਗ࠵Ʌɀާ੓ȯɦȹăਆ୔‫ޏ‬ɁɉĂ໲Ⴈਡ໘Ɉ๬ી‫ۊ‬ɬෂఘɂȱɀ๐ާȯɦɀȞɥ Y ʨˋʡှ༜˄ĜʘʥʛʠˇĜʇĪYSBJOī˄ĜʘʟĜʗ‫ސ‬಑Ȧ଱ɅଌૈȯɦȹăइൌโɅɉĂਆ୔‫ޏ‬ઞ‫ݡ‬ଞɉĂʟĜʗɈ຿əਮəĂຑࣚߍ౉ိඣჶూĪQmbo!
Qptjujpo! Joejdbups;! QQJīɈ࿑‫ކ‬Ăຑ਒๱౉ိඣჶూĪDpotubou! Bmujuvef! QQJ;! DBQQJīɈ࿑‫ކ‬Ăਏ౉ᆙા཯်
ʯ˅ʈˁʸɬଌ਄ȳɥȭɂɁĂYSBJO ʟĜʗஐᆅɬൌঅȳɥȭɂȦ‫ݢ‬༑ɂɄȽȹă‫ݡ‬ȢɀĂ˄ĜʘʟĜʗɈஐᆅၫၭɞܾᅙࡳ୹Ă੕ఛ‫ܔ‬Ɉ˄ĜʘɅȾȞɀɈਆࡹɜଌૈȯɦȹăઞ‫ݡ‬ଞɉ41შา๱ɁĂലሄĆୌሄอ୸ɜ୒
ɩɤĂઞ‫ݡ‬ଞߊ။Ȧ໧ȱȞ૪ࡖɅɜ࠲ɩɣȴĂᇉ༃ူəɈઞ‫ݡ‬ଞɬຶɥȭɂȦ୸ᅰȹɈɉࠎૢ࡙࠲Ɉ๰ᆵɈ૞ဘ
ɁȜɥăಫᅝ൥ȥɣɜߔင౺ɬෂఘɅઞ‫ݡ‬ȱĂᄵ‫ܗ‬Ʉ૪࠰ɬ‫ݿ‬Ȯȱȹăိ౰41༃Ǐॢǎ໲঳೐Ʌɉ WM ࠲बǐ൥ߔ࠲बଞɅɢɥࢾࡼ‫ޏ‬Ȧާ੓ȯɦĂWM ৫Ɉএ௻ၡਠɂ਱ষɈ๐ާɅȾȞɀࡼሄȦɄȯɦȹăູɅိ౰41༃๱ɉࠍૅȦ‫ޑێ‬ɤȳɥ23༃ᄆɬ॒ȢĂȥȾ೔ਡࢼວᆀᅙĆࢼວॸ࢞ࢪ๘Ɉෂ࠰࿎‫ݟ‬ɈʗɼʷˋʈɁɜȜɥȭɂȥɣĂ࡙‫ޏ‬ɬॽɀĂ੔๱ WM Ɉሌ೨əɈᄵᅙ౯ɅȾȞɀɺʬĜ˃ȳɥྼᅟȦȜɥȭɂɁ‫ॽڷ‬Ɉ‫ێ‬ඳɬəȹă

ଖణ2/3/6/5ąWM ਆ୔‫ޏ‬Ī੆īĂWM ࢾࡼ‫ޏ‬Ī‫ۦ‬īɈᅕા― 32 ―

2/4/āʯ˅ʈˁʸǏć‫ܒ‬౳ᆀᅙ਒๱‫ݛ‬ʯ˅ʈˁʸĮ‫ޱ‬ᅟį
ۧහࡊႨၭɈ౰ᆏĪ3119༃īɅɢɤĂĶۧහާཡɂᆀᅙķɅ࠲ȳɥ‫ބ‬ȦਡɈૈ઄ɉĶॸ࢞ާཡķȥɣࡳ୹Ɉဍঢ়ȞĶᆀᅙķɒɂဿ‫ݛ‬ȱȹă਱ষɈࠞࣃ˂ʺĜʠʓˋʏˋʈɅȤȞɀɉइൌโɄᄎ൨ɈཡॽĆᆅ‫ސ‬Ć‫ސ‬ड़Ăૈ઄ɒɈཱ‫܇‬ɬᄆૄȱȹഽȩɈ࠲ᇦယᄘɈࢾລൌ౫ɈෂɅȤȫɥ˂ʺĜʠʓˋʏˋʈࡳ୹ɈᆀᅙၫၭɈߊᆏɬైమ
ȳɥྼᅟȦȜɥăȷȭɁĂႨʯ˅ʈˁʸɁɉ໲ႨȤɢɍ౦‫ޢ‬ɅȤȫɥ‫ސ‬ȩɓȧ୭ᅟɄ‫ݻ‬൨ɬಡฤȱĂ˂ʺĜʠʓˋʏˋʈɈ౰‫ݪ‬ɬණ௫ɅȤȫɥ௶ၡɂᅃਗȯȵĂ‫ڽ‬ယᄘࢾລɅɢɥ‫ܒ‬౳ᆀᅙၫၭɈ਒๱‫ݛ‬ɬൿ౰ȳɥȭɂɬᄆโɂȳɥă3126༃ɉਡ੫โɄණ࢝ࠞࣃɼʣʏɺʞɻʮɁȜɥʭʽĜʙʻĜĆɺĜʑĪGFīȦ઻຦ȱȹ༃ɁɜȜɥăGF ɁɉʑʞĜʇʳ˃ʘĜɂᄎ൨‫ސ‬ड़ɬࢼᄵȳɥሌ೨əɈෂɁʍɼʀˋʑȦᄜߠɬ‫ݪ‬ȹȳȭɂȦ࢙ɛɣɦɥ
ɉȴɁȜɥă‫ߔݨ‬ɈັइɂȱɀɈ˂ʺĜʠʓˋʏˋʈɜĶ‫ߔݨ‬ɈȹɛɈ‫ߔݨ‬ķɈັइȥɣĶଜ‫ޏ‬ɂɂɜɅȜɥ‫ߔݨ‬ķɈȹɛɈັइɒʏʭʠȱɄȫɦɊɄɣɄȞăȷȭɁĂ3128༃๱ɉᅕęɄଲɤ೨əɬ਄ȽȹȦĂູɅ VBWĪVonboofe! Bfsjbm! WfijdmfīɅɢɥࣷಞ˂ʺĜʠʓˋʏˋʈɅଲɤ೨əĂɢɤʑʞĜʇʳ˃ʘĜɅࣷȞ˂ʺĜʠʓˋʏˋʈɈߊᆏɬ૚əȹă‫ܒ‬౳ᆀᅙ਒๱‫ݛ‬ʯ˅ʈˁʸɈ൦Ǐࡖෂࡖᄆ࿈Ćෂࡖो‫࠰ࡖކ‬Īိ౰39Ľ44༃๱īɅȤȫɥॸ࢞‫ݻ‬൨Ȥɢɍൿ౰ᄆ࿈ɉ‫ݚڬ‬ɈฆɤɁȜɥă൦ǎࡖɅȤȞɀଌૈȱȹॸ࢞ʞĜʶɈູଋɅࡊȿȩʯ˅ʈˁʸॸ࢞ɬཡ๐ȯȵĂȯɣɅ୭๘‫ݻ‬൨ɬಡฤȱȹăśॸ࢞‫ݻ‬൨Ć! ਢဘɈ఍ᆧ౺દɈഝ൥ɂ৐௫ɬᄆโɂȱɀĂ౉‫ے‬Ɉ౺દᆲɬైฤĆᅅപȳɥၫၭɬߊᆏȳɥăĆ! ౉‫ے‬Ɉ౺દࡊྉɁȜɥ౉Ć๲௳Ć࡜েɈࠞࣃɬ˂ʺĜʠʓˋʏˋʈĆHJT Ɉࡳ୹Ɂ༘‫ڐ‬ȱĂȷɈ౺દࡊྉɬ
‫ޜ‬ᆯĆ৐௫ȯȵɥၫၭɬߊᆏȳɥăĆ! ໲Ⴈɂຄ໤ɺʐɺɬൎ௣ɂȱĂ༔ࣞ။ঃɈෂ߇ɁȜɥഹޮੈฤʯ˅ʓʑɅ˂ʺĜʠʓˋʏˋʈʟĜʗĂHJTĂ
࡜௣ʟĜʗຑɈऋ࠰௶ၡɬไᅙȳɥȭɂɅɢɤഹޮੈฤɬৌᆎ‫ݛ‬ȳɥၫၭɬߊᆏȳɥă
Ć! VBTĪVonboofe! Bjsdsbgu! Tztufntīɂȱɀʶ˃ʙʋʯʗĜɞঙฤᅫ࡙ɬ઴Ƚȹฝ਒๱Ɉࣷಞ˂ʺĜʠʓˋʏˋʈࡳ୹ɬߊᆏȯȵĂ˂ʺĜʠʓˋʏˋʈɬᅕęɄ‫ݻ‬൨Ʌൎܾȯȵɥʯ˅ʠʋ˃ɬ੼౰ȱĂଜ‫ޏ‬ଌകȳɥăĆ! ʭɻĜ˃ʡˇĜʇĂ˂ʺĜʠʓˋʏˋʈĂʺʟ˂ˋʈɬฆȲɀఝᆹ౺ൔृɞঢைĆ‫ݭ‬ರɈ౉ଋʺʣʗ˂ˋʈɬ਄ȠăĆ! ˂ʺĜʠʓˋʏˋʈɂ HJT ɬᅙȞȹ๬ીࠞࣃɈ༘‫ڐ‬ĂȤɢɍ˂ʺĜʠʓˋʏˋʈ଴ၭɅɢɥ๬ીʑʉĜ˃Ɉ੠ޮ༘‫ڐ‬Ɉॸ࢞ăś୭๘‫ݻ‬൨ć!!ʡ˅Ĝˋɬߤᅙȱȹࣷಞ˂ʺĜʠʓˋʏˋʈ! !
ĪQspyjnjuz!sfnpuf!tfotjoh!cbtfe!po!espof!pctfswbujpotī
Ć! ʶ˃ʙʋʯʗĜɞঙฤᅫ࡙ɬ઴Ƚȹฝ਒๱Ɉࣷಞ˂ʺĜʠʓˋʏˋʈࡳ୹ɬߊᆏȱĂ˂ʺĜʠʓˋʏˋʈɬ
ᅕęɄ‫ݻ‬൨Ʌൎܾȯȵɥʯ˅ʠʋ˃ɬ੼౰ȱɀଜ‫ޏ‬ଌകȳɥă
Program 3: Advanced application of satellite remote sensing
Since the establishment of the “Aerospace Basic Act” in 2008, the major purpose of the national policy
over the space development and utilization has changed from the stage of research and development tothat of wide-range, practical utilization. Thus, it is absolutely needed for the environmental remote sensing              
solving various problems on both scientific and social bases. In view of such background, this program（Program 3）aims at assigning important problems that must be solved on national and global levels,
integrating the results of satellite and ground-based observations, and realizing the advanced application
methodology of satellite remote-sensing data through the synergetic activities of scientists representing        
Study on spatial information system that nurtures the disaster and environmental literacy.
Įॸ࢞໘ᅎɂိ౰3:༃๱Ɉ౰‫ݪ‬į

ş2/4/2/āᄎ൨‫ސ‬ड़ɈȹɛɈ˂ʺĜʠʓˋʏˋʈĆHJT
ş2/4/2/2/āɼˋʗĜʥʛʠɅɢɥଜ‫ࡊޏ‬ྉ௶ၡɈอࢷĪࣷນூྷīȭɈ‫ݻ‬൨ɉෂࡖो‫ކ‬ɈĶ੠ޮĆࠞࣃ˂ʞˁʏĜɬఀ౰ȳɥऋ࠰௶ၡʏʑʞʸɅ࠲ȳɥॸ࢞ķɅൎܾȳɥă੠ޮĆࠞࣃɅ࠲ɩɥʟĜʗʓˋʗĜ࡙༑ɂȱɀĂਡ๲ৄฆௐਡ๲౱઄ࣟਡ๲௶ၡ‫ݻ‬Ɉૅ‫ܧ‬ɬ෴ȧĂਡ๲෮ੈ౰‫ݪ‬ూ࿍Ɉˁʑ
ʗĜ‫ކ‬ജɬʘɾˋ˅ĜʡɁȧɥʍɼʠɬ৊ާȱɀȞɥăိ౰3:༃๱ɘɁॅറȱɀ৊ާȱɀȞɥਐᄆɉ‫ݚڬ‬ɈฆɤɁȜɥă

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ĪǍīਡ๲෮ੈ౰‫ݪ‬ూ࿍ਡ๲෮ੈĆ๲ණယᇆࡊႨ෮ੈɈ࿍೸ණଋూĂණवယᇆూĂ๲௳ూĂ๲ණᆀᅙএ࣍ూɬ
‫ކ‬ജʟĜʗĪ511EQīɬʘɾˋ˅ĜʡăĪǎī੠ޮᆂᇘూĽ31჈ယɈǍ๲ණ။೔ࡊႨ෮ੈ
໲ႨɈ๬ັ࿬ॻɈȠȻĂ43๬࿬ॻɁ੼౰ȯɦɀȞɥ੠ޮᆂᇘూɈ‫ܜ‬ᅿăĪǏīᆀ౉এ࣍ూĆ෮ੈங‫ृ౉ࢡێ‬Ī21:౉ृī࢒ɍȷɈୈ၃ණ‫ۊ‬ɬൎ௣ɅĂᆔ‫ۊ‬໘Ɉ౉ဦĂᆀ౉Ă૭౉Ʌ࠲ȳɥࡕശ૝ᆧɈେୠ౲ᆅĂএණ෮ੈຑɬ਄ȞĂȷɈय़‫ݪ‬ɬĂ଱ᅟ౉ृ෮ੈங࢒ɍᆀ౉এ
࣍ూɅɂɤɘɂɛȹɜɈă
Īǐī61჈ယɈǍ๲ණယᇆూ
ϱ႘‫ັޠ‬ණၫĂϲຄ႘ණၫĂϳ࠲ຄĆෂငණၫĂϴෂငĆࣷ࡞ණၫĂϵෂਡĆહਡණၫĂ϶ࣻୋණၫĂɈ61჈ယɈǍණवယᇆూĂ࿍೸ණଋూĂ๲௳ూɈ Ujgg ‫ކ‬ജăĪǑīණ‫౉ݚ‬ʶʛʯȭɈ‫ݻ‬൨ɉ࣋‫ۋ‬ɂ࠲ɩɤĂ3125༃๱ȥɣɉಫᅝ൥ߔࠡীߔॸ࢞‫ݨ‬Ķ੠ޮࠡীʈ˅Ĝʨ˃˂ĜʘĜᅤ౰ʯ˅ʈˁʸķĶ੠ޮࠡীಮᄑఊᇦ़‫୔ܩ‬ķɅȤȫɥʏʷʽ˄Ĝʏʿˋ࣋੮੼౰
ɅȤȫɥĶࠞࣃ႕੠ߔķɅȤȫɥऋ࠰௶ၡɈߤᅙĂɅߤᅙȱȹăɘȹĂ3121༃๱ȥɣ਄ɩɦɀȞɥಇ݊൥ߔ႕੠഍ਗʓˋʗĜĶ੠ޮ‫ߔݨ‬โࡊೣɬ૩Ƚȹ႕੠ଌოଞɈᅤ౰ķĪɏȲɈȩɅ႕੠ʭɿ˅Ĝᅤ౰ਆ੐īķɅȤȫɥĶණᆅߔ‫୔ܩ‬ķɅȤȞɀ࣋੮ɂȱɀॅറȱɀߤᅙȱɀȞɥă੠ޮɉఱɂ૵೓ȦယඣȱȹɂȭɧɁཡ౺ȳɥă႕੠Ăঌ੠ɉఱȦ๲ණɈ౯ଋɬᆅ‫ސ‬ȱĂᆰ‫ސ‬ɬव౰ȱɀ‫܄‬ɚၙɣȱɈෂɁൿ౰ȯɦɥăʧʎĜʡɬဘᆅโɅᅅപȱɄȫɦɊఱɉ౺ȧᅕɬड़ɛɣɦɄȞɩȫɁɉɄȞăȭɈ‫ݻ‬൨ɉ႕੠ɅൎȳɥණᆅߔȥɣɈอ‫ڨ‬ɁɜȜɥă
ş2/4/2/3/āණ‫ۊ‬Ɉࠞࣃဿ຦Ʌ࠲ȳɥॸ࢞ĪࣷນூྷīȭɈ‫ݻ‬൨ɉൿ౰ᄆ࿈ɈĶෂਡɅȤȫɥࠞࣃဿ຦Ʌ࠲ȳɥॸ࢞ķĂĶɺʐɺɅȤȫɥࠞࣃဿ຦Ɉʺʣʗ˂ˋʈɂᅟ
ۚ‫ސ‬಑ķɅ޶ຎȳɥăණ࢝ࠞࣃဿ຦ɉʈ˅Ĝʨ˃ʑʉĜ˃Ɂ஡ęɅ঄ɦɥɈɁɉɄȩĂູฤණ‫ۊ‬ɅȤȞɀಪ਄ȱɀ୸এȳɥăࠞࣃᄎ൨ɉȷɦȦʈ˅Ĝʨ˃ʙɿˋʐɅ࠲ɩɥɜɈɁȜȽɀɜĂᄎ൨ɂȱɀɉණ‫ۊ‬ɅȤȫɥఱɂ૵೓Ɉ࠲ब౯Ʌ࠲ɩɥᄎ൨ɂȱɀ୸এȳɥăණ‫ۊ‬Ɉࠞࣃᄎ൨ɉĂණ‫ۊ‬౯Ī࡜েĂණवĂఆ౺ĂຑɈණ‫ۊ‬Ɉູ෡Ăဇ๲īɂఱ࠰ߤ຦ɂɈ࠲ɩɤɅࡊȿȞɀᆅ‫ސ‬ȳɥȭɂȦ୭ᅟɂɄɤĂȷɦɅɢȽɀɈə౷ȱȞൎ઄ɬਆȲɥȭɂȦ‫ݢ‬༑ɅɄɥăȭɈɢȠɄ৽ȢၫɅࡊȿȧĂိ౰3:༃๱Ʌൿ౰ȱȹ‫ݻ‬൨ɉ‫ࡥݚ‬ɈฆɤɁȜɥăʥʩĜ˃ĂʃʠʶˋʒɈණྉ෺‫ݚ‬
āĆ! Sjdib!Cibuubsbj-!Bljijlp!LpoepiĪ3128ī;!Sjtl!Bttfttnfou!pg!Mboe!Tvctjefodf!jo!Lbuinboev!Wbmmfz-!
Ofqbm-!Vtjoh!Sfnpuf!Tfotjoh!boe!HJT-!Bewbodft!jo!Sfnpuf!Tfotjoh-!7-!243.257/;! Efufdujpo! pg! Mboe!
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Tvctjefodf! jo! Lbuinboev! Wbmmfz-! Ofqbm-! Vtjoh! E.JoTBS! Ufdiojrvf-! Mboe-! 7-! 4:-! epj;21/44:10
mboe713114:/ʱʠʢʸĂટߕණ‫ۊ‬ɅȤȫɥఝᆹɈဿ຦
āĆ! Ohvzfo!Wjfu!Mvpoh-!Szvubsp!Ubufjtij-!Bljijlp!Lpoepi-!Ohp!Evf!Boi-!Ohvzfo!Uiboi!Ipbo-!Mvv!Uif!
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Mboetbu! 9! PMJ! jnbhft-! Wjfuovn! Kpvsobm! pg! Fbsui! Tdjfodft-! 4:Ī5ī-! 4:4.517-! EPJ;21/2673601977.
829804:05021884/ఛߟॻĂෳ݊ીɅȤȫɥණ‫౉ݚ‬ᆀᅙɅ཮Ƞᆔ຦ृɈဿ‫ݛ‬
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EPJ;21/22220hxbu/23711/
ෂਡĂʃʏʽʄ˃ණ‫ۊ‬ɅȤȫɥ๲ණᆀᅙĆྡဒဿ‫ݛ‬
āĆ! Bzjtvmjubo! Nbjnbjujbjmj-! Yjbplbjuj! Bkj-! Blcbs! Nbuojzb{! boe! Bljijlp! LpoepiĪ3129ī;! Npojupsjoh! boe!
Bobmztjoh! Mboe! Vtf0Dpwfs! Dibohft! jo! bo! Bsje! Sfhjpo! Cbtfe! po! Nvmuj.Tbufmmjuf! Ebub;! Uif! Lbtihbs!
Sfhjpo-!Opsuixftu!Dijob/!Mboe!3129-!8
Ī2ī-!7<!epj;21/44:10mboe8121117/― 34 ―

ʺˋʌ˃ɅȤȫɥఆ౺ဿ຦
āĆ! Zvlj!Tpgvf-!Cvip!Iptijop-!Zvub!Efnvsb-!Lfokj!Lbj-!Lfokj!Cbcb-!Fvojdf!Oevbuj-!Bljijlp!Lpoepi-!Usz!
TufsocfshĪ3129ī;! Tbufmmjuf! Npojupsjoh! pg! Wfhfubujpo! Sftqpotf! up! Qsfdjqjubujpo! boe! Evtu! Tupsn!
Pvucsfblt!jo!Hpcj!Eftfsu!Sfhjpot/!Mboe-!3129-!8-!2:<!epj;21/44:10mboe812112:/
ş2/4/2/4/āঈાᆵ੠ޮɅ࠲ɩɥॸ࢞ଞɈᄜߠĪࣷນூྷīຄࢶ๝ᆵဏ๿൦‫ێ‬ঈાᆵཡ๝ஒɈૢঠɅɢɤĂဏ๿ॻȤɢɍຄ໲ႨɈঢ়ཱྀ‫ڱ‬Ȧၪଗ༑ɅɢȽɀܸಹȯɦȹঈાᆵ੠ޮɉĂࣷൣဦცɈࡊྉɬૅȢɥ‫ߔݨ‬โඪૻɈ౺દɬඐȠॸ࢞ଞɅɂȽɀࠡ‫ݿ‬ɁȧɄȞૢ௣ɁȜɥăࠞࣃɅ࠲ɩɥ‫ߔݨ‬ଞɈᆏ௲ɂȱɀɉၪଗ౯ဘଋɈʹʃʣʒʸॸ࢞ĪູɅၪଗ౯ဘଋ‫ھ‬਄Ʌ࠲ɩɥ‫ݻ‬൨īɂĂএ௲ɬࡊྉɂ
ȱȹ഍ਗโĂၟߣโɄဌ࣓ૅ‫ܧ‬ɈෂɁ‫ߔݨ‬ଞɈᄜߠɬ‫ݪ‬ȹȳ໩ȾɈᆏ௲ȦȜɥă೐ଞɈᆏ௲ȥɣɉĂϱટණĪᆊટīᆔ‫ۊ‬ɅȤȫɥၪଗ౯ဘଋɈယ࿫ɂ‫ھ‬਄ʹʃʣʒʸĂϲ VBW Ʌɢɥऋ࠰ೀᆲᆎപฤɈࡳ୹ߊᆏĂɅ࠲ȳɥॸ࢞ɬ਄ȽȹăȭɈॸ࢞ߤ຦ɉʭʽĜʙʻĜĆɺĜʑĪGFīɅȤȫɥ෰ߔ੫Īʠˁˋʑʟɻʏʯ˂ʢ˂ʞɻĜīɈൿ౰ɂდಞɅ࠲ɩɥ‫ݻ‬൨ɁȜɥă੠ޮɉ୒ധȱɀȤɣȴĂॅറȱɀ࠲ɩɤറȫɄȫɦɊɄɣɄȞ‫ݻ‬൨ɁȜɥăಫᅝ൥ߔʙĜʸȦ࠲ɩȽɀȞɥ‫ڭ‬ൿनರႿ෨ટᄄ‫ݎ‬ණࣾɉိ౰3:༃Ī3128༃īǏॢ42໲Ʌྤ໧‫ސ‬தȯɦȹă‫ߔݨ‬ɂଜ‫ޏ‬Ɉ࠲बɜఛȱȞʑʞĜʐɬ॒ȢȹȦĂ3128༃22ॢ36ġ37໲ɉટᄄ‫ݎ‬ණࣾɁާ੓ȯɦȹဏ๿ʘɼɺ
˅ʈʓʷʢĜĶટᄄ‫ݎ‬ɈୣმɈၫȹȻɂএ௻ɬࢼᄵȳɥʘɼɺ˅ʈġ JDSQ ɈࢾᆵɅɢɥൎሇɈॅറġķɅઞ‫ݡ‬ȱĂĶટᄄ‫ݎ‬Ɉᇘષɂဇ๲Ȧ౺ə୸ȳණ‫ۊ‬Ɉপɤķɂ൨ȱȹਆ‫ܩ‬ɬ਄ȞĂˁɾˋʡʞĜʮ˃ʷĜʞɻˋʈɅઞ‫ݡ‬ȱĂ‫ॽڷ‬ɬৄࠓȱȹăဏ๿ʘɼɺ˅ʈʓʷʢĜɅȤȫɥਆ‫ܩ‬

ş2/4/2/5/āۗᘧைᆔ‫౉ۊ‬ஃࠞ०೔‫ݛ‬Ʌ࠲ɩɥߤ຦ĪࣷນூྷĆ៤ࠀĆႥ৮౱ୃīϱ VBW Ʌɢɥູฤެᅰ౺ဘĶʢʄʀʜ˃ʦʊɼʠɾķɈ౺‫ʺۋ‬ʣʗ˂ˋʈ
ȭɈ‫ݻ‬൨ɉෂࡖो‫ކ‬ɈĶಫᅝॻɅȤȫɥ०೔Ʉ౉ஃࠞɂ౺ဘഽᅕ౯Ɉ੔౺ķĂɂ࠲ᇦȱɀȞɥă3128༃๱ɉ઀༃๱ɅۜȧറȧĂ਄౱ĆીმࢾລɁଌૈȱȹĶʢʄʀʜ˃ʦʊɼʠɾࢾລऄத੼ಱķɈɄȥɁĂVBW ɬ઴Ƚȹယ࿫ɂ౺‫ۋ‬Ɉʺʣʗ˂ˋʈɬଌૈȱȹă౰‫ݪ‬ɉۗᘧைᆔ‫౉ۊ‬ஃࠞ०೔‫ࡼޏݛ‬ɈʳĜʸʲĜʐɅ˂ˋʇĪiuuq;00
jocb.ovnb/dpn0īȳɥɂɂɜɅĂሄဦɂȱɀଲɤɘɂɛෂɁȜɥăȭɈߤ຦ɉʭʽĜʙʻĜĆɺĜʑĪGFīो‫ކ‬ɅȤȫɥʠˁˋʑʟɻʏʯ˂ʢ˂ʞɻĜɈଌএɬᄆૄȱȹॸ࢞ɁȜɥă3128༃๱ɘɁɅǐ༃ယɈऋએ‫ކ‬ജȦຶɣɦĂऄதɈ౰‫ݪ‬Ȧฤᆲ‫ݛ‬ȯɦȾȾȜɥă

ూ2/4/2/5/ā!!ಫ ᅝॻۗᘧைᆔ‫ۊ‬Ăठ༐ರ‫ݚ‬ᆔɅȤȫɥ‫ັݭ‬ୈ၃Ɉʂ˃ʕऋෂଖణăǏ༃࠰ɈऄதଌঅɅɢɤĂʢʄʀʜ˃ʦʊɼʠɾɈ൥ȧɄदᅶᅝ௉ჱȱɀȤɤĂऄதɈৌ‫ݪ‬Ȧߊ໻ȯɦȾȾȜɥă

― 35 ―

ϲۗᘧைᆔ‫ۊ‬ɅȤȫɥ඾೧ஃࠞɅ࠲ȳɥॸ࢞ȭɈ‫ݻ‬൨ɉෂࡖो‫ކ‬ɈĶ൤ණĽฝණृ౉ஃࠞɈ౺ൔृʍĜʫʑ࡙༑Ɉ࿎‫ݟ‬ķĂɂ࠲ᇦȱɀȞɥăۗᘧைɬɉȲɛɂȳɥ๬ીࣷਉɈဲ੍౯ᆔ‫ۊ‬Ɂɉ࿩‫܉‬ᅤ‫ݛ‬Ȧ‫ސ‬ड़ȳɓȧࠞࣃᄎ൨ɂɄȽɀȞɥȦĂȭɈᄎ൨Ʌ໩ȾɈࠫ๘ȥɣଲɤ೨ɭȺăɌɂȾɉĂۗᘧைɒɈ඾೧࿹‫ݷ‬ᆲɈ౷ߊɄધ୸ɁȜɥăۗᘧைঢை౉ଋ။೔ो‫ކ‬Ɂɉᆔ‫ۊ‬ȥɣɈ඾೧࿹‫ݷ‬ᆲɬोધȳɥȹɛɈঈඍ‫ڮ‬Ȧ৩ఛȯɦɀȞɄȞȦĂ3127༃๱Ʌ੕ఛɈॸ࢞౰‫ݪ‬ɅࡊȿȞɀધฤȯɦȹఛȱȞঈඍ‫ڮ‬ɬᅙȞɀĂۗᘧைɒɈ඾೧࿹‫ݷ‬ᆲɬ੔ोધȱȹăȷɈय़‫ݪ‬Ăএ਄ɢɤɜ൥ȧɄ඾೧࿹‫ݷ‬ᆲȦ࢙ɛɣɦȹȦĂ3128༃๱ɉණ࿍Ʌ࿥‫ݡ‬ȯɦȹ඾೧ɂ৊ࢼᅙ౉‫ۊ‬Ɉಞറᅕૺɬʺʟ˃Ʌɢɤॳບȱȹă‫ێ‬ၫĂএ௲ɅȤȞɀĂ൤ණȥɣ‫ݭ‬ರɅࢷࢣȯɦɥ඾೧Ɉᄪഗʹʃʣʒʸɬ‫ސ‬ცȳɥྼᅟȦȜɥă൤ණɬਟɚඇ෿ɅીმɂࢾລɁଌ
অᆔ‫ۊ‬ɬಡ඲ȱĂ౉ஃࠞĆဘଋஃࠞɅ࠲ɩɥࢼວॸ࢞ɬॅറȱɀଌૈෂɁȜɥăණଋĂණवĂ౉ဦĂ౺ൔɈಮᄑ
‫ݦ‬ȦࢾລȳɥȭɂɅɢɤĂఛȹɄ඾೧ஃࠞɼʹĜʐȦຶɣɦȾȾȜɤĂʏʙʒˋĆʍɼʀˋʑĂʠˁˋʑʟɻʏ
ʯ˂ʢ˂Ĝॸ࢞Ɉ౰‫ݪ‬ɂȱɀଲɤɘɂɛෂɁȜɥă
ş2/4/2/6/āVBW ˂ʺĜʠʓˋʏˋʈɅɢɥ੼ဘ౺‫ʺۋ‬ʣʗ˂ˋʈĪࣷນூྷĆ๜ෂऱĆ៤ࠀīȭɈ‫ݻ‬൨ɉෂࡖो‫ކ‬ɈĶࣷಞ଴ၭɅɢɥʂˋʟʶˋʡĆ˂ʺĜʠʓˋʏˋʈķɂ࠲ɩɥă3127༃๱ɉĶVBW˂ʺĜʠʓˋʏˋʈɅɢɥ౉‫ے‬౺‫ʺۋ‬ʣʗ˂ˋʈķɂȱɀၡਠȱȹȦĂ3128༃๱ɉᄘ੨Ɉ౺‫ʺۋ‬ʣʗ˂ˋʈɬ
ާ઻ȱȹȹɛĂ‫ݻ‬൨ɬĶ੼ဘ౺‫ʺۋ‬ʣʗ˂ˋʈķɂȱȹăVBW ˂ʺĜʠʓˋʏˋʈɂɉ VBWĂȭȭɁɉˁʐʋ
ˋ๝຦ʶ˃ʙʋʯʗĜĂɅʃʹˁĂʓˋʍĜɬ຃੪ȱɀ਄Ƞฝ਒๱˂ʺĜʠʓˋʏˋʈɁȜɥăȭɦɘɁĂ౉‫ے‬Ɉ౺‫ʺۋ‬ʣʗ˂ˋʈɈ౰‫ݪ‬ɂȱɀĂϱൣ೿ȧ౉ိ౼๱Ɉߊ໻Ăϲ౺‫ۋ‬ɚɣĂϳฃྠ૪ࡖɈड़ฤĂϴʗˋʩʇଋ࠸
ĂϵେᆲᅅപĂ϶๵ညᅅപĂຑɅᆀᅙɁȧɥࡳ୹ɬߊᆏȯȵȹăȭɈࡳ୹Ɉএ௲ɒɈଌക
ᄵᆲైฤĪ఍ჍఫඣīɉĂ୑๜ॻĂఛߟॻĂ੹࣢ॻĂಫᅝॻɁ਄ȞĂఛߟॻĂ੹࣢ॻɁɉ VBW ˂ʺĜʠʓˋʏˋʈɅɢɥ౺‫ʺۋ‬ʣʗ˂ˋʈɬ਄Ƚɀ౺દȱȹဴɅĶ๏૗ɈဴĪɀɭȱɈɘȞīķĂĶɃɧĜɭဴķɂშ࿥ȫĂ࿥‫ݟݡ‬ඩɬ࿥ȫȹྀ༸ɜࡨັɅ௮ɤȾȾȜɥă୑๜ॻĂఛߟॻɁɉຄ৉์৙Ī߰īĂࣸ‫ۈ‬๱ᆲਅĪ߰īɂɈࢼວॸ࢞ɂȱɀଌૈȱȹăɘȹĂಫᅝॻɅȤȫɥ੼ဘʺʣʗ˂ˋʈɉಫᅝॻ༔ᆹ౉દငĂಫᅝॻ༔ᆹ഍ਗॸ࢞ʓˋʗĜɂɈࢼວॸ࢞Ɉ౰‫ݪ‬ɁȜɥăဴ‫ެڬ‬Ɉ੼ဘɅ࠲ȱɀɉಫᅝॻɂɈࢼວɁĂழདྷĂʣˋʐˋĂʅʻʱʜɅȾȞɀ૚অॸ࢞ɬާ઻ȱȹă

ూ2/4/2/6/ā!!ಫᅝॻෲાીɈঢ়൥ɉʅʻʱʜ၎௲ɅȤȫɥऋએ‫ކ‬ജăʅʻʱʜɈ౺‫ʺۋ‬ʣʗ˂ˋʈɉĂେߋ૪ɈʅʻʱʜɈ൥ȧȯɬവȢɥȭɂȦ༔‫ݦ‬Ɉ੼ࣞɈৌᆎ‫ݛ‬ɈȹɛɈ୭ᅟ‫ݻ‬൨ɂɄȽɀȞɥă

ş2/4/3/2/ā!!఍ᆧ‫ڤ‬೔။௩ɬᄆૄȱȹ࡜েဿ຦ไܾ઄ɂȱɀɈ༔ࣞ။ঃɅȤȫɥഹޮ࿎‫ݟ‬଴ၭɈ৭භɂଜ‫ޏ‬ଌക! !
ĪႨࣕಫ୽ī
࡜েဿ຦ɞ૵೓੠ޮɄɃɅɢɥ఍ᆧ౺દᆲɈঌவɅൎȳɥไܾĆൎܾ઄Ɉ઄ฤɉĂಪమਡĂ๫௫ਡɬᄎɩȴ਒Ȟ࠲ఘૢɁȜɤĂࡇ࡙ൎ઄ɂȱɀɈ఍ᆧ‫ڤ‬೔။௩Ȧ࢙ɛɣɦɀȞɥă఍ᆧ‫ڤ‬೔။௩Ɉ˂ʑʇɉฝ‫ۀ‬๱ණ‫ۊ‬Ɂɢɤ൥ȧȞȭɂȦၡਠȯɦɀȤɤĂɼˋʡʥʏɺ౱࿬ɉĂ࡜েဿ຦Ʌൎȳɥಊଯ౯ɂ࢖ॗɄఱ৏ഝ‫ݡ‬Ɉࠫ๘ȥɣĂ఍ᆧഝદɈȹɛɈ૩റโɄ౺દࠣᆅʏʑʞʸɈ৭භɂࣅ‫ݛ‬ɬਡ‫ݦ‬ᄆ࿈ɂȱɀऻȬɀȞɥăȭɈɢȠɄ༬ाɅൎȳɥਡ੫โɄ຦৐ɂȱɀĂ༔ࣞ။ঃɈຩ໴ɂ࿱࢒ȦȜȬɣɦɥă༔ࣞ။ঃɉĂGBP Ȧฤࡹȳɥ఍ᆧ‫ڤ‬೔။௩ɈǐႨɈ෈ɈɌɂȾɁȜɥĶTubcjmjuzķɈതჶɬඐ။ȳɥଜ‫ޏ‬ɼˋʭˁɁȜɥă༔ࣞ။ঃ౫๱ɈᄆโɉĂ࡜েဿ຦Ʌ
ɢȽɀିȫɥେߋɈʘʹĜʐɬॎঌȱ༔‫ݦ‬ȦॅറĆ૩റโɅ༔ࣞ౺દɬɁȧɥɢȠૅ‫ܧ‬ȳɥȭɂɂວ૪ɅĂਡ‫ݦ‬ɂȱɀਡმɈȹɛɅ။௩ȱɄȫɦɊɄɣɄȞ఍ᆧɈߊ။ĂദȻ఍ᆧ‫ڤ‬೔။௩ɈଌএɅࡍᅇȳɥȭɂɁȜɥăႨ‫ݻ‬൨ɉĂ࡜েဿ຦Ɉไܾ઄ɁȜɥ༔ࣞ။ঃ౫๱Ɉ૚਄โଲɤ೨əɬާ઻ȱȹɼˋʡʥʏɺɬൎ௣ɂȱɀĂ။

― 36 ―

ঃ౫๱Ɉෂ߇ɂɄɥഹޮ࿎‫ݟ‬ɬৌᆎโɅଌૈȳɥȹɛɈఛȱȞഹޮ࿎‫ݟ‬଴ၭɬߊᆏȳɥȭɂɬᄆโɂȱɀȞɥăᄆโൿ౰ɈȹɛɅĂĪǍī౉‫ے‬ɈࠍɊȾޮĂ࿒්ޮĂ౉ޮɬഹޮ࿎‫ݟ‬ൎ௣੠ޮɂȱɀĂ‫ܒ‬౳ĂVBWĂHJTĂଌപ෮ੈʟĜʗɄɃɈऋ࠰௶ၡɬऄ઴ȱȹࢊࠫโĂৌᆎโĂঢ়‫ۊ‬โɅഹޮ࿎‫ݟ‬ɬଌૈȳɥ଴ၭɈߊᆏĂĪǎīএ਄။ঃ౫๱ɂఛȱȞഹޮ࿎‫ݟ‬଴ၭɈຕਗɂଜ‫ޏ‬ଌകĂĪǏīഹޮ࿎‫ݟ‬଴ၭɈ‫ۿ‬ᅙȤɢɍ‫ޜ‬ᆯɅྼᅟɄ௶ၡࡊྉɈ౲ྩĂĪǐī࿎‫ݟ‬଴ၭɈާཡȤɢɍ‫ۿ‬ᅙɅ࠲ȳɥʅʻʩʏʞɻĆʟɻʱ˅ʯʹˋʠɬ਄ȠăȭɦɅɢɤĂɼˋʡʥʏɺ
ɅȤȞɀ࡜েဿ຦ɅɢȽɀ౺Ȳɥ༔ࣞ౺દଞɈॄ੟โഹޮȦॎঌȯɦĂ༔ࣞ౺દɈૅ‫ܧ‬ൌ౫ȦߊᆏȱĂ఍ᆧ‫ڤ‬೔။௩ɈଌএɅࡍᅇȳɥăႨॸ࢞ɉĂိ౰39༃๱ KTU0KJDB ණ࢝ࡤჹ‫ݻ‬൨ൎܾਡ੫‫ࢾ୹ࡳߔݨ‬ᆵʯ˅ʈˁʸĪTBUSFQTīɅ௸ॣ࿥ȧੜ൰ȯɦĂS0E ำय़ষɈိ౰3:༃๱ȥɣ౷ૺާ઻ȱȹă

ూ2/4/3/2/ā൦24‫ ޑ‬KDD ‫ޏ‬ਗȤɢɍɼˋʡʥʏɺ࢒ɍ໲ႨɈॸ࢞ଞɣɅɢɥਗວ෮ੈ೐Ɉ൅ਗȵɈᅕા

ş2/4/3/3/āʶɼʇ˅༜‫ކ‬ജɬᅙȞȹɼˋʡʥʏɺĆಀʐʻˇୋɅȤȫɥ౉‫੼ے‬࿥૪ࡖɈ཯်ĪႨࣕಫ୽ī࡜েဿ຦Ʌൎȳɥไܾ઄Ɉࠫ๘ȥɣĂɼˋʡʥʏɺ౱࿬ɉ3127༃๱ɢɤ౉‫ے‬ɈࠍɊȾޮĂ࿒්ޮĂ౉ޮɅൎȳɥ༔ࣞ။ঃʯ˅ʈˁʸɬާ઻ȱȹă။ঃࣸɈધ୸ɂૅပȞɈȹɛɅɉĂ౉‫ے‬Ȧ੼࿥ȯɦȹ௲ஒɬູฤȱĂɃɈา๱Ɉྡޮɬିȫȹȥɬ࿎‫ݟ‬ȳɥȭɂȦ୭ᅟɄ‫ݻ‬൨ɂɄȽɀȞɥăȷȭɁႨॸ࢞ɁɉಀʐʻˇୋʙɺˋʐʽĜ˃Ɉ౉๜‫ۊ‬ɬൎ௣ɂȱɀĂTfoujofm.2ʟĜʗɬᅙȞɀ߿ࡖ੼Ɉ౉‫੼ے‬࿥ȫ૪ࡖɈ཯်ɬ਄Ƚȹă஑ɛɅĂ3126༃ǐॢǍ໲Ăǐॢ24໲Ăǐॢ36໲ĂǑॢǓ໲ĂǑॢ2:໲Ăǒॢ35໲ĂǓॢ29໲Ăǔॢ22໲
Ɉ Tfoujofm.2ʟĜʗɬᅙȞɀĂ౉๜ĂఝᆹĂୠᅶĂᅤࢳදɈষၫઢᅸबౘɈ૪ृᇙဿ‫ݛ‬ɬ෮ɓȹă౉๜Ɉষၫઢ
ᅸबౘɉǑॢǓ໲ɅࠫപȯɦȹʟĜʗɬࣃɅ൥ȧȩঌவȱɀ੕ழඩɬ૲ȱĂȷɈষǒॢ‫ڬ‬ਏɅࠫപȯɦȹʟĜʗ‫ڬ‬ਏ౉๜ɈষၫઢᅸबౘȦ஡ęɅഝ‫ݡ‬ȱȹăȭɈɢȠɄဿ‫ݛ‬भ৐ɬ૲ȱȹ౉๜ɉĂ‫ބ‬ęȦǔॢ22ġ24໲Ʌଌૈȱȹେߋࡖ౉๜Ɉ௲ஒɂɕɖ‫ێ‬ඳȱɀȞȹăൎ௣ණ‫ۊ‬ɅȤȫɥ౉‫ے‬Ɉ౺‫࠰ࡖۋ‬ɉᄝ221໲ɁȜɥȭɂȥɣĂǑॢǓ໲೐ষɅ౉‫ے‬Ȧ‫ھ‬ఆȯɦȹȭɂȦᆈ࿥ȫɣɦɥă‫ێ‬ၫĂఝᆹĂୠᅶĂᅤࢳදɈষၫઢᅸबౘɉ‫ێ‬ฤɈඩɬଲ
ɤĂ౉๜ɈষၫઢᅸबౘɈ૪ृᇙဿ‫ݛ‬ɂɉ‫ڽ‬ɄȽɀȞȹă૫ɅǑॢǓ໲ġ2:໲ɈষၫઢᅸबౘɈ੕ழඩɂǒॢ
35໲ষၫઢᅸबౘɈ੕൥ඩɬෆ୸ȱĂ੕൥ඩȥɣ੕ழඩɬȯȱۜȞȹഝ‫ݡ‬ᆲɬ࢙ɛȹăȷȱɀĂȭɈষၫઢᅸ
बౘɈ੕ழඩɂഝ‫ݡ‬ᆲɬᅙȞɀĂ੕ᄊၭĂड़ฤᄄၭĂᷫඩಡฤၭĪ‫࡚ޑ‬Ľ4̈ၭīɅɢɥ౉‫ے‬Ɉ੼࿥ȫ૪ࡖɬ཯်ȳɥȹɛɈ‫ކ‬ജယᇆɬ਄ȽȹăȷɈय़‫ݪ‬Ă੕ᄊၭယᇆȦ੕ɜ਒Ȟ౼๱Ɂ੼࿥૪ࡖɈ཯်Ȧ୸ᅰȹă‫ێ‬ၫĂड़ฤᄄၭɬᅙȞȹ௲ਗɅɉĂ੼࿥ȫȱȹ౉๜ჶಓɬ‫ݿ‬ழ࿎‫ݟ‬ȱɀȱɘȠभ৐Ȧॽɣɦȹă‫࡚ޑ‬Ľ4̈ၭɁɉఝᆹɞୠ
ᅶɅᆿಞȱȹେߋࡖ౉๜Ī౉๜‫ެڬ‬ɈষၫઢᅸबౘɈ‫ࣗ܆‬ɬିȫɀȞɥ౉๜īɈ཯်౼๱Ȧ഼Ɉယᇆ଴ၭɢɤ
ɜ਒ȩɄɥɂȞȠय़‫ݪ‬ɁȜȽȹăɘȹĂഽ༃๱Ʌᆀᅙ‫ݢ‬༑Ʉ࣋ુʟĜʗɬෆ୸ȱɀȭɦɣɈ଴ၭɬ3127༃࢒ɍ
3128༃Ɉ߿ࡖ੼ɈʟĜʗɅȾȞɀไᅙȱȹɂȭɧວᅕɈय़‫ݪ‬Ȧຶɣɦȹă― 37 ―

ూ2/4/3/3/― 38 ―

Įǎ^āࢼວᆀᅙॸ࢞
3/2/!!ࢼວᆀᅙॸ࢞‫ޱ‬ᅟāಫᅝ൥ߔࠞࣃ˂ʺĜʠʓˋʏˋʈॸ࢞ʓˋʗĜĪDFSfTīɁɉĂණ࢝ࠞࣃɅ࠲ȳɥ˂ʺĜʠʓˋʏˋʈࡳ
୹Ɉࡊೣɂܾᅙॸ࢞ɬෂఘɅĂࢼວᆀᅙĆࢼວॸ࢞ࢪ๘ɂȱɀ˂ʺĜʠʓˋʏˋʈɅɢɥࠞࣃॸ࢞Ɉཡ๐Ă
DFSfT ɈૈಡĆಡྩɞିఒĆେୠȱȹ‫ܒ‬౳ʟĜʗĆࠞࣃʟĜʗɈᄵৌᆀᅙɈȹɛɅĂ൥ߔĂȷɈ഼Ɉॸ࡙࢞࠲
Ʌஒമȳɥॸ࢞ଞɂຎʓˋʗĜɈॸ࢞ଞȦࢾᆵȱɀࢼວᆀᅙॸ࢞ɬైమȱɀȞɘȳăॸ࢞ହ်ɉĂʯ˅ʈˁʸॸ࢞Ăၴ‫ވ‬โɄ໘ᅎɜ࠸ɚ‫࢞ॸཾێ‬Ăॸ࢞‫ޏ‬ĂȤɢɍਡ੫ࢼວᆀᅙॸ࢞ɅယȥɦɀȤɤĂ൥࡜Ă౉ஃࠞĂఆ౺Ă఍ᆧĂ੠ޮɄɃɈ‫ܒ‬౳ʟĜʗɈ‫ސ‬಑ɞ࿥౓ȳɥණ௫ࠫപॸ࢞ຑɈဍঢ়ȞʞĜʶɁॸ࢞ɬଌૈȱɀȞɘȳăȭɦɘɁਡ৊ૐᆏ൥ߔɬෂఘɅ߂ହɈॸ࡙࢞࠲ȥɣഽౘɈઞ‫ݡ‬ɬຶɀȤɤĂ˂ʺĜʠʓˋʏˋʈɬᅙȞȹණ࢝ࠞࣃॸ࢞Ɉ
ഽᅕȯɂঢ়Ȧɤɬ૲ȱɀȞɘȳăࣷ༃Ɉᆀᅙॣౘɂࢼວᆀᅙॸ࢞ଞɉĂȷɦȸɦ༃ိࣧ83ॣĂ242ఱɂɄȽɀ
Ȟɘȳăā਱༃๱ɉĂ51ॣɈਡ໘ࢼວᆀᅙॸ࢞ĂǏॣɈॸ࢞‫࢒ޏ‬ɍǒॣɈਡ੫ࢼວᆀᅙॸ࢞ĪɼˋʡʥʏɺĂෂਡĂʂĜʑʠˁ˂ɺĂဴਡĂෂਡīȦଌૈȯɦɘȱȹăɘȹĂࢼວॸ࢞Ɉ౰‫ݪ‬ɬཡ࿍࢒ɍ௶ၡৄࠓɈ௲ɁȜɥ൦31‫ޑ‬
DFSfT ࠞࣃ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸɉĂ3129༃ǎॢ26໲ɅʭʽĜʙʻĜĆɺĜʑʏˋʵʐɾʸɂဩ੓Ɂ਄ɩɦɘȱȹă਱༃๱ɉĂǏȾɈʯ˅ʈˁʸॸ࢞Ʌ࠲ᇦȱȹ23ॣɈ৏ຢཡ࿍ɂ36ॣɈʵʑʗĜཡ࿍Ȧ਄ɩɦĂ77შɈઞ‫ݡ‬ଞɣȦ༂ఘɅࡼሄɬৄɩȱɘȱȹăā‫ݚڬ‬ɉĂਡ໘࢒ɍਡ੫ࢼວᆀᅙॸ࢞Ɉੜ൰໘ᄟĪ࿍ǍīĂɘȹ࡙࠲်Ʌယᇆȱȹ࿍Ī࿍ǎīɁȳă࿍Ǎ/āိ౰3:༃๱ࢼວᆀᅙॸ࢞ੜ൰໘ᄟ
ਡ໘Ī59ॣīࢼວॸ࢞ହ်

ਡ੫Īǔॣī

ఛࡤॸ࢞

ॅറॸ࢞

ఛࡤॸ࢞

ॅറॸ࢞

ʯ˅ʈˁʸǍĪ࠸ɚ୭๘‫ݻ‬൨ī

5

6

3

2

ो
23

ʯ˅ʈˁʸǎ

1

4

1

1

4

ʯ˅ʈˁʸǏĪ࠸ɚ୭๘‫ݻ‬൨ī

7

4

4

1

23

ʯ˅ʈˁʸǍĂǏ࠲ᇦ

1

2

1

1

2

‫࢞ॸཾێ‬

8

22

1

1

29

ॸ࢞‫ޏ‬

3

2

1

1

4

ो

2:

35

6

2

5:

࿍ǎ/āိ౰3:༃๱ઞ‫࠲࡙ݡ‬ౘĪൣ࿍࢒ɍॸ࢞ယඐଞɈஒമ࡙࠲ī࡙࠲ࣾယઞ‫࠲࡙ݡ‬ౘਡ৊ᆏ൥ߔĪ਒ಮ࠸ɚī

39Ī໘ಫᅝ൥ߔငࣟǏॣī

ૐᆏ൥ߔ

21

൥ߔࢼວᆀᅙ࡙࠲ၭఱ

1຾ᆏ਄౱ၭఱຑ৊โॸ࡙࢞࠲

6

მ࠰࡙࠲

21

ެਡ࡙࠲

21

ȷɈ഼Ī਒ຑߔ৫ɄɃī

3

ो

76

― 39 ―

3/2/2/āࢼວᆀᅙॸ࢞‫ݻ‬൨‫ێ‬ᅿĪ54ॣīఛࡤğॅറॸ࢞‫ݻ‬൨

ॸ࢞ൣ࿍ଞȤɢɍஒമ

ൎܾ࣋ۙ

ॅറ

౺ߤࠞࣃ५ɅȤȫɥ DP3༏๱Ɉोപɂฤ
๘ࠫപʟĜʗɂɈ྘ߏॳ௠

ठঈāᄼષ‫ۓ‬௱൥ߔঢ়‫౉ۊ‬५ࠞࣃ‫࣋ߔݨ‬‫࢞ॸۋ‬ʓˋʗĜ

࢏౦ā৘ც

ॅറ

ਗ౰ާ৏˄Ĝʘ຃੪ʶɼʇ˅‫ܒ‬౳ᅙ
GQHB Ɉާཡ

໧༜ā‫ࡩێ‬ಫᅝ൥ߔ৙ߔॸ࢞ۡ

๝༜ჟࣗଆĆʶɼʇ˅༜๙
ˀʍʭɹʛʠ ུപฤʏʑʞʸĆ਒ୈ༜‫ޑ‬ᇭĆ๝༜ʏʷʽ˄Ĝʗॅറ൥࡜ණ௫ॳ௠ᅙ࡙੮౯༑৐௫ॸ࢞‫ޏ‬Ⴈഽā‫ݣ‬ცಫᅝ൥ߔࠞࣃ˂ʺĜʠʓˋʏˋʈॸ࢞ʓˋʗĜႨഽā‫ݣ‬ცāఛࡤᆊණᆊટɅȤȫɥ˂ʺĜʠʓˋʏˋʈɅ
ɢɥఆဘࡠಣࠫപɈ਒౼๱‫ݛ‬‫ۈ܊‬āఒ
ਡᆏॸ࢞ާཡၭఱ‫ޠ‬ᅖॸ࢞ާཡ࡙৭ණ࢝࿍೸ဘଋஃࠞॸ࢞
ယᄘႨഽā‫ݣ‬ცߝঈāয়શʡ˅ĜˋĪTQJEFSīॅറర੠෿༜ఱჩ˂ʑʇʺʟ˃Ɉླྀᅙ‫ݛ‬ɂॸ࢞ൎ௣‫ۊ‬Ɉ߄൥ġഊჹሕோ໤‫ۊ‬ɒɈไᅙġࣸાā൥໩ᇾ
߰ૺ‫ޏ‬ଜᅢࠐࠞࣃʺʣʗĜˀʍʭɹʛʠ āॅറ࡜েʺʟ˃ౘඩଌঅय़‫ݪ‬Ʌɢɥ‫ܒ‬౳ʯ˅ʘʇʠຩ୸ɺ˃ʌ˂ʒʸɈॳ௠༣ဓāሆᅂਡᆏࠞࣃॸ࢞ஒ

Ⴈഽā‫ݣ‬ცಫᅝ൥ߔຕਗ௶ၡʓˋʗĜ਒ബ‫ܩ‬ધʍĜʨॅറTLZOFU ʟĜʗɬᅙȞȹ൥࡜ࠞࣃɈॸ࢞

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ࢼວᆀᅙʟĜʗĆಡྩāDDEယ৉ࡉĪPdfbo!Pqujdt!
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ಇ݊൥ߔࡳ୹ငॅറ

VBW ɬᅙȞȹఝᆹɈ4E ʺʟ˃Ɉ੼౰

௄ટāᅖଽ๬൥ߔຄࢶ๬ીࠞࣃ‫ॸߔݨ‬࢞‫ݨ‬Ⴈഽā‫ݣ‬ცߝঈāয়શཞˎߕఝᆹࠫപʗˇĜఛࡤᄕ࠰৉‫ܒ‬౳‫ކ‬ജȤɢɍ HJT ɬᆀᅙȱȹ౦‫ޢ‬Ɉ೧੮ʑʠʛʇɈైो

ࢀഺā஺൥ಫᅝ൥ߔ൥ߔۡ৙ߔॸ࢞ۡ

ટ੸āဦᅂණᆅ௶ၡʟĜʗ౦‫ޢ‬ʈ˅Ĝʨ˃๲ණྡဒĂBsdHJT21Ă
FOWJ

ఛࡤ

‫ܒ‬౳‫ކ‬ജɬᅙȞȹ૵೓੠ޮ༘‫ڐ‬Ʌ࠲ȳɥॸ࢞

Mvjt!Npzb
ຄ႘൥ߔ੠ޮ‫ߔݨ‬ਡ੫ॸ࢞ஒ

ટ੸āဦᅂྡ੠ණɬࠫപȱȹ‫ܒ‬౳‫ކ‬ജॅറණ௫Ćʺʨɼ˃˄ĜʎപᆲȤɢɍ TgN ഁರāᄽቃഽ૗๘ଖణപᆲɅɢɥఝᆹ໘ငɈණवĆ ຄࢶ൥ߔऋ࠰௶ၡ‫࢞ॸߔݨ‬ʓˋʗĜఆ౺व௻ोപ଴ၭɈߊᆏ

‫ݡ‬ນāā঄ණᆅ௶ၡʟĜʗʱĜʑĂණᆅ௶ၡʏʑʞʸĂ˂ʺĜʠʓˋʏˋʈ‫ކ‬ജஐᆅʕʭʠ
ɾɿɺఛࡤʡ˅Ĝˋɬߤᅙȱȹࣷಞ˂ʺĜʠʓˋʏˋʈ๧ᵚāಁ‫ڈ‬ඪॻᆏજඇ౉દ਒ຑߔ৫

ࣷນāூྷʧɼʩĜʑʲʇʠ˃ʃʹˁ

ఛࡤ˄ĜʎĜᄾࡧʮ˄Ĝʇʘɾˋယ৉ၭɬᅙ
Ȟȹ൥࡜ෂʀɺ˅ʖ˃Ɉ˂ʺĜʠ౰ယယ಑଴ၭɈާཡಹರāථৠ৊‫ੰܗ‬චၭఱ˄ĜʎĜࡳ୹഍
ਗॸ࢞ஒ

࢏౦ā৘ც

ယ৉ࡉ

ॅറ

Ǐ૫ইʟĜʗɬᅙȞȹఝᆹʨɼʂʶʑ૝
঍ʀʥ˃ʆĜᆀᅙ‫ݢ‬༑ᆲైฤᄵ‫ފ‬ā‫ێ‬ঢ়ۧ๬࢔൥ߔ༔ߔင

‫ݡ‬ນāā঄ॅറ

USNN ૪ൣ‫ڬ‬೐Ɉ೔࢝ਏ౉ʶʛʯʯ˅ʘ
ʇʠɈ૚੼ɂਏ౉Ɉ࡜েဿ຦‫ސ‬಑୭āஶ‫ێ‬
ࢶ๬൥ߔ൥ߔۡᆅߔॸ࢞‫ݨ‬

樋৏āຼૂ

ोધ࡙

ఛࡤ

ฝʋʑʠʡ˅Ĝˋɬߤᅙȱȹ๲௳ྠᅨ๱
ʶʛʯɈ੼౰݁Ⴅāஉ߰ૺ‫ޏ‬ଜʒʋĜʏʻ഍ਗ‫ߔݨ‬
ॸ࢞ஒ

Ⴈࣕāಫ୽

ā

ॅറ

ɺɼʑɺ˃ʐĜɈ˂ʺĜʠʓˋʏˋʈ଴
ၭɈާཡ

෥जāয়શ
ຄࢶ༔ࣞ൥ߔ౺ဘદࣞߔင࢏౦ā৘ც૓ެĂ‫ݢ‬૗Ăࣷಘެယ৉৉
๱ोĂཱଗപฤക඲

ఛࡤʧɼʩĜʑʲʇʠ˃ʟĜʗ࢒ɍʶ˃ʙʑ
ʲʇʠ˃ʟĜʗɈोപɂદܾࣞᅙ

࢏౦ā৘ცಫᅝ൥ߔࠞࣃ˂ʺĜʠʓˋʏˋʈॸ࢞ʓˋʗĜ࢏౦ā৘ცā― 40 ―ఛࡤğॅറॸ࢞‫ݻ‬൨

ॅറॸ࢞ൣ࿍ଞȤɢɍஒമൎܾ࣋ۙࢼວᆀᅙʟĜʗĆಡྩ‫ܒ‬౳ʟĜʗɬᆀᅙȱȹൎᆔ५Ć౰೸५Ɉဘଋᄪഗ‫ݿ‬าɅ࠲ȳɥॸ࢞৮৏ā੨ၔࣻୋ൥ߔܾᅙᆵߔॸ࢞ஒ

ᥓນāஶાಇો࡜௣‫ܒ‬౳ʟĜʗĂ࣡ࡨັĂୈ‫ܒັࡨޑ‬౳ʟĜʗĂ੔‫ސ‬಑ʟĜʗॅറʏʷʽ˄Ĝʏʿˋʺʟ˃ɂ˂ʺĜʠʓˋʏˋʈɬᅙȞȹ౉‫ے‬౺દᆲైฤၭɈॳບ

Ⴈ࠰ā਑ࡦຄ႘൥ߔ൥ߔۡ༔ߔॸ࢞‫ݨ‬Ⴈࣕāಫ୽

FOWJ-!Mboetbu ʟĜʗॅറ૵೓੠ޮɅɢɤ౺Ȳȹ๝ᆋ५ဿ຦Ɉฤᆲ
โ‫ސ‬಑

ෂ๜āᄽ་
ಫᅝ൥ߔ൥ߔۡ৙ߔॸ࢞ۡ

൩ᄘā࿢ც

ā

ॅറ

ਗ౰ާ৏˄ĜʘɅɢɥࠞࣃोപɅ࠲ȳɥ
ॸ࢞

ଭᆹāᄽ་
໲Ⴈ൥ߔ৙ߔင

ˀʍʭɹʛʠ NPEJT ʟ Ĝ ʗĂ ʶ ɼ ʇႨࣕāಫ୽ ˅ ༜ ๙ ུ പ ฤ ʏ ʑ ʞ ʸĂ‫ݡ‬ນāā঄ FOWJఛࡤNPEJT ɬᅙȞɀʂʮʐɿʇʠ‫ޱ‬༄ɬไᅙȱȹఆ౺ယᇆ଴ၭɈާཡ

ಷைāીටຄࢶ௶ၡ൥ߔࣷນāூྷ

NUTBUĂ๲ණྡဒʠ˄ĜʣˋʈʟĜʗఛࡤ

VBW ɂ‫ܒ‬౳ʟĜʗɅɢɥ‫ݚ‬഍൤ණɈ༔
ࣞʺʣʗ˂ˋʈ

ႝā௧ᙫຄࢶ௶ၡ൥ߔࣷນāூྷʡ˅ĜˋĂʧɼʩĜʑʲʇʠ˃ʃʹˁĂࣷಘެʃʹˁॅറ

DQ.TBS ॳ௠ᅙ VBW Ʌ຃੪ȳɥ৉ߔૺ‫ݮ‬ટʄʑʓˋʍɈଌঅโާཡॸ࢞൥೐ā৘ሆ߰ૺ‫ޏ‬ଜʓˋʞˋʏɺ

ˀʍʭɹʛʠ āఛࡤ۫แᆙ๱ोɂထౘɈ‫ܒ‬౳ʟĜʗɬߤᅙȱȹɼˋʡ‫ڃ‬൥ᆌ႘ຄငɁɈ HQN ʯ˅ʘ
ʇʠॳ௠

૧ྪā่
਑ರ൥ߔ࣋‫ߔۋ‬င樋৏āຼૂ

USNN.3B36-! W7-! W8-!
USNN.3B34Ī Ȟ ȴ ɦ ɜ
pscjubm! ebubī-! Nfufptbu!
JEPDĪhsje ʟĜʗīॅറʶɼʇ˅༜ၪଗोĂઢᅸो࢒ɍʹʕ࡜௣
ʺʟ˃ɬᅙȞȹᅖ௫ဇᆵ૝঍ᆲైฤ଴ၭ
Ɉާཡ

਑ಀāਞ୻
తট൥ߔ‫ݨ࢞ॸߔݨૢޠ‬

࢏౦ā৘ც

ā

ॅറ

‫ݮ‬౳ණ࿍ȥɣɈ MFE! MJEBS ɬᆀᅙȱȹʘʑʠࠫപɈණ௫ჹࡴଌঅ

ಫ୑āགࡢಫᅝ৙ࣞ൥ߔላ౳එੈॸ࢞ʓ
ˋʗĜ

࢏౦ā৘ც

ā

ॅറ

HPTBU ɂ ൥ ࡜ ᄪ ഗ ʺ ʟ ˃ ɬ ᅙ Ȟ ȹDP3ĆDI5Ɉ༏๱ဿ຦Ɉ‫ސ‬಑ඌ۩āᅖ‫ގ‬࡜௣ෝ࡜௣ॸ࢞ஒ‫ޠ‬ᅖĆණ࢝‫࢞ॸߔݛ‬င

ᥓນāஶા

ā

ॅറ

එੈ࡙˂ʺĜʠʓˋʏˋʈʟĜʗɬᅙȞȹ‫ݮ‬౳൥࡜ࠞࣃɈॸ࢞

ᄘ৏āਞ਄໖ᆯடા൥ߔॸ࢞ۡ૵೓‫ߔݨ‬
ृ

໴৮āల઺

ोધ࡙

ॅറ

‫ܒ‬౳‫ކ‬ജஐᆅɈȹɛɈၪଗ๙ൿʺʟ˃Ɉ
ॳ௠

྅ೲā೑ሆ
ৠ೐൥ߔ൥ߔۡᆅ৙ߔॸ࢞‫ݨ‬࢏౦ā৘ც൥࡜ࠫപക඲

ఛࡤऋ࠰ʟĜʗɅࡊȿȞȹ჎ᅰණ‫ۊ‬ʟʎɼˋ‫ߔݨ‬Ɉ૚਄โॳບ

ழᆹāൿცಫᅝ൥ߔ‫ݨ࢞ॸߔ॑ܠ‬ࣷນāூྷટ ᄄ ‫ ݎ‬ණ ࣾ EFN ʟ Ĝ ʗĂਂऋଖణʟĜʗĂऋ࠰ೀᆲʺʟ˃ʟĜʗĂۗᘧைᆔ‫ۊ‬
EFN ʟĜʗĂਂऋଖణʟĜʗఛࡤఆ౺ˁɼʘĜɈ࿱࢒ɬɛȰȱȹʧĜʡɾɿɺɂɺ˃ʌ˂ʒʸާཡกშāൿᅂಫᅝ൥ߔ൥ߔۡ৙ߔॸ࢞ۡ

࢏౦ā৘ც

ā

ॅറ

ʨ˂๿ɅȤȫɥ‫ܒ‬౳ʟĜʗɬ઴ᅙȱȹ߿ഇोപɂ༔ࣞ߿ഇɈॸ࢞

൥៛ā਒ৰɾʘʼʢ൥ߔ‫ޠ‬ᅖ‫ʺ˂ߔݨ‬Ĝʠʓˋʏˋʈॸ࢞ʓˋʗĜ

Ⴈࣕāಫ୽

ā

ఛࡤ

ʶ˃ʙʑʲʇʠ˃ʃʹˁɬᅙȞȹ VBW༔ࣞ˂ʺĜʠʓˋʏˋʈ

ழ‫ݴ‬ሆā৘་߰ૺ‫ޏ‬ଜʫʐʿˋʞʛʇ

‫ݡ‬ນāā঄ණ௫˄Ĝʎപᆲ࡙ࡉ‫ૺێ‬Ă
BsdHJTఛࡤ‫ݮ‬ટ๿ɁɈၪଗ౯߇ହɈယ࿫෮ੈġ‫ڭ‬ຜ൥๿Ɉૢᇉॸ࢞ġ

Disjtupqifs!Hpnf{
తট൥ߔ‫ݨ࢞ॸߔݨૢޠ‬ˀʍʭɹʛʠ āఛࡤᆔ‫ۊ‬঍ຢငɅȤȞɀ๲ੋ຦ൔȦਏ۫‫ێ‬ᆔ୸࠲बɅ࢒ɖȳ‫ࣗ܆‬Ⴅ๜āࡢဦය༜൥ߔ౺ჩࠞࣃृ

‫ݡ‬ນāā঄ʡ˅Ĝˋॅറ

VBW ˂ʺĜʠʓˋʏˋʈɅɢɥ༂ಘެ
ʃʹˁɬᅙȞȹ౉‫ʺے‬ʣʗ˂ˋʈ

๜ෂāऱ‫ੰཾێ‬චၭఱ໲Ⴈණూʓˋ
ʗĜණూॸ࢞ஒ

ࣷນāூྷ

ā

ఛࡤ

HOTT ఒਖɈ‫ܒ‬౳‫ܦ‬ေࠫപȤɢɍණ௫ࠫ
പɅɢɥ๝ᆋ೸഍๝ાౘ‫ސ‬಑ɂණరɅ࠲
ᇦȳɥ๝ᆋ५‫௵ڽ‬Ʌ࠲ȳɥॸ࢞

Kboo.Zfor!MJV൤ሕਡᆏෂܻ൥ߔ

ဎငāਞაā

― 41 ―ఛࡤğॅറॸ࢞‫ݻ‬൨

ॸ࢞ൣ࿍ଞȤɢɍஒമൎܾ࣋ۙࢼວᆀᅙʟĜʗĆಡྩఛࡤ

Ijhi!Hbjo!M.Cboe!Gmfyjcmf!Boufoob!gps!
Lbejs!Fwj{bm!Bcevm
TBS! Bqqmjdbujpo! jo! jo! Fowjsponfoubm!
Jtmbnjd!Vojwfstjuz!pg!Sjbv
Sfnpuf!Tfotjohˀʍʭɹʛʠ āఛࡤ

Mboetmjef! Jowftujhbujpo! boe! Hfpib{bse!
Nbqqjoh!vtf!jo!TBS!jnbhf;!Tuvez!Dbtf! DBIZBOJOHTJI!Dbuvs
Sboubv!Cfsbohjo!Mboetmjef-!Lvpl!Wjmmbhf-! Jtmbnjd!Vojwfstjuz!pg!Sjbv
Sjbv!Qspwjodf

ˀʍʭɹʛʠ āఛࡤ

Qfbumboe! Dibsbdufsjtujd! Pctfswbujpo!
bt! uif! Cbtf! Ebub! gps! Joepoftjbo! Lbvtbsjbo!Ivtovm
Hpwfsonfou!up!Tpmwf!uif!Gpsftu!Gjsf! Jtmbnjd!Vojwfstjuz!pg!Sjbv
Ejtbtufs!Qspcmfn

ˀʍʭɹʛʠ ā

3/2/3/āਡ੫ࢼວᆀᅙॸ࢞‫ݻ‬൨‫ێ‬ᅿĪǒॣīఛࡤğॅറॸ࢞‫ݻ‬൨

ఛࡤ

Bttfttnfou! pg! Mboe.vtf.dibohf!
qbuufsot!po!sjdf!qspevdujpo!jo!xbufstife!
bsfb!.Dbtf!tuvez!jo!Cbevoh!Ejtusjdu.Cbmj-!
Joepoftjb

ఛࡤSbebs! tztufn! qspupuzqf! cbtfe! po! QFSJTTJO!Ebojfmf
Tpguxbsf.Efgjofe!Sbejp
Qvsevf!Vojwfstjuz

Dpnqvufst! boe! Fuuvt!
ˀʍʭɹʛʠ VTSQ! Tpguxbsf! Sbejp!
Cpbset!jg!bwbjmbcmf

ఛࡤ

DIFO!Kjo
Hfofsbujpo! pg! efotf! ujnf! tfsjft!
Tubuf!Lfz!Mbcpsbupsz!pg!
tzouifujd!Mboetbu!ebub!uispvhi!cmfoejoh!
Fbsui!Tvsgbdf!Qspdfttft!
Mboetbu!boe!NPEJT!ebub!vtjoh!bmm!dmpve.
boe!Sftpvsdf!Fdpmphz-!
gsff!qjyfmt
Cfjkjoh!Opsnbm!Vojwfstjuzᅔāāā‫ڰ‬Bsdijwfe! tbufmmjuf! ebub!
tfut<! tpguxbsf! mjlf! FOWJ0
JEM-!BsdHJT

ఛࡤFowjsponfoubm!Npojupsjoh!Tztufn!Vtjoh!
Lbejs!Fwj{bm!Bcevm
Tfotps!boe!Sfnpuf!Tfotjoh!jo!Qflbocbsv!
Jtmbnjd!Vojwfstjuz!pg!Sjbv
Djuz-!Sjbv-!Joepoftjb

໴৮āల઺Tbufmmjuf! Ebub! gps! Sjbv-!
Joepoftjb! Fowjsponfou!
Npojupsjoh

ॅറBqqmjdbujpo! pg! tqbdf! boe! hspvoe!
ufdiopmphjft!gps!ejtbtufs!sjtl!njujhbujpo;! PV[PVOPW!Ejnjubs
Nvmuj.tfotps! Xfc! gps! fbsuirvblf! fbsmz! Dibqnbo!Vojwfstjuz
efufdujpo/ဎငāਞა

Ijnbxbsj.90:!nfufpspmphjdbm!
tbufmmjuf!ebubఛࡤ

QFSFSB!Mjzbobhf!Ljuitjsj
Tdippm!pg!Djwjm!Fohjoffsjoh!
Sfgjojoh!uif!Obujpobm!Gpsftu!Dpwfs!Nbq! boe!Tvswfzjoh-!Gbdvmuz!pg!
Ifbmui-!Fohjoffsjoh!boe!
pg!Tsj!Mbolb
Tdjfodft-!Vojwfstjuz!pg!
Tpuifso!Rvffotmboe

ࣷນāூྷ

ā

ॸ࢞ൣ࿍ଞȤɢɍஒമൎܾ࣋ۙ

Lsjtoboejlb!Bobl!Bhvoh!
Lftxbsj
Gbdvmuz!pg!Bhsjdvmuvsf
Vebzbob!VojwfstjuzႨࣕāಫ୽― 42 ―

ࢼວᆀᅙʟĜʗĆಡྩ

FOWJ-!BsdHJTĳįĳįġġ‫ވ‬൳၌ဥίυΈρθࡄ‫͈ݪ‬મळ

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-01䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅⏕ά⎔ቃᅪ䛻䛚䛡䜛CO2⃰ᗘ䛾ィ 䛸ᐃⅬほ 䝕䞊䝍䛸䛾ẚ㍑᳨ド㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅 Surveying and validation of CO2 concentration data in the human living sphere䠄◊✲௦⾲⪅ྡ䠅 ᱓ཎ♸ྐ䠄Ⲉᇛ኱Ꮫ䠅㻌 Yuji Kuwahara (Graduate School of Science and Engineering, IBARAKI University)䛆せ᪨䛇㻌 Ⲉᇛ኱Ꮫ䛷䛿2007ᖺ䛛䜙Ⲉᇛ┴ෆ䛾ᩘ䛛ᡤ䛻⡆᫆ᆺ䛾ⓒⴥ⟽䜢タ⨨䛧䠈ே㛫䛾άື䠈⏕ά㡿ᇦ䛻䛚䛡䜛஧㓟໬Ⅳ⣲⃰ᗘ䛾ᐃⅬほ 䜢⾜䛳䛶䛝䛯䠊䛧䛛䛧䛣䛾ᐃⅬほ 䛷䛿䛭䛾ほ Ⅼ䛷ᚓ䜙䜜䜛䝕䞊䝍䛜䛭䛾࿘ᅖ䛾஧㓟໬Ⅳ⣲⃰ᗘ䛸ᚲ䛪䛧䜒୍⮴䛧䛺䛔䛣䛸䛜䛒䜛䠊䜎䛯⾨ᫍ䜢฼⏝䛧䛯ほ 䛷䛿㏆㉥እ⥺䜢⏝䛔䜛䛜䠈ᆅ⾲㠃௜㏆䛷䛾 ᐃឤᗘ䛜ప䛟䠈୺䛻ୖ✵䛾䝕䞊䝍䛜཯ᫎ䛥䜜䛶䛧䜎䛖䠊䛣䜜䜙䛾䛣䛸䛛䜙䠈ே㛫䛾άື⠊ᅖෆ䛷䛒䜛ᆅ⾲௜㏆䛾஧㓟໬Ⅳ⣲⃰ᗘ䜢ᗈᇦ䛷 ᐃ䛩䜛᪉ἲ䛿䛣䜜䜎䛷䛻䛺䛛䛳䛯䠊ᮏ◊✲䛷䛿DOASἲ䜢⏝䛔䛶㛗ග㊰䛻䛚䛡䜛஧㓟໬Ⅳ⣲䛾⃰ᗘ䜢ィ 䛧䠈ᐃⅬほ 䛻䜘䜛䝕䞊䝍䛜䛭䛾ᆅᇦ䛾䛹䛾⛬ᗘ䛻䜎䛷㐺ᛂ䛷䛝䜛䛛䛹䛖䛛䜢☜ㄆ䛩䜛䛣䛸䛷䛒䜚䠈௨ୗ䛾⤖ᯝ䜢ᚓ䜙䜜䛯䠊ᐃⅬほ 䛻䜘䜛஧㓟໬Ⅳ⣲⃰ᗘ䛜454.0ppm䛷䛒䛒䛳䛯䛣䛸䠈䛭䛾᫬㛫ᖏ䛷䛾DOASἲ䛻䜘䜛㛗㊥㞳ほ 䛷䛾஧㓟໬Ⅳ⣲⃰ᗘ䛿473.0ppm䛷䛒䜚䠈ᐃⅬほ 䛾䝕䞊䝍䛸㠀ᖖ䛻㏆䛔್䛸䛺䛳䛯䠊䛆Abstract䛇
Since 2007 Ibaraki University has installed ventilated cases for meteorological instruments in Ibaraki prefecture and has
been carrying out fixed point observation of the concentration of carbon dioxide in human activity area. However, in this
fixed point observation, the data obtained at the observation point may not represent the surrounding data. The DOAS
(Differential Optical Absorption Spectroscopy) method measures the average concentration of trace components (carbon
dioxide, aerosol, nitrogen dioxide, ozone, etc.) present in the optical path by propagating light through the long optical pathin the atmosphere. Therefore, in this research, the following two points were aimed. First, we observed the carbon dioxide
concentration over long distances by the DOAS method in February 2017. Second, we used the DOAS data to examine towhat extent the data of fixed point observation of carbon dioxide concentration agree with the DOAS result. The following
results have been obtained. First, the carbon dioxide concentration over a round trip distance of 7.4 km from Ibaraki
University to Umegaoka Hospital was measured to be 473.0 ppm. Second, which was very close to the concurrent value of
454.0 ppm from the fixed point observation at Ibaraki University.

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㻌 Ⲉᇛ኱Ꮫ䛷⏝䛔䛶䛔䜛䠈⡆᫆ᆺ䛾஧㓟໬Ⅳ⣲⃰ᗘィ ᶵ䛷䛾ᐃⅬほ 䛷䛿䛭䛾ᆅⅬ䛷ᚓ䜙䜜䜛䝕䞊䝍䛜䛭䛾࿘ᅖ䛾஧㓟໬Ⅳ⣲⃰ᗘ䜢ᚲ䛪䛧䜒௦⾲䛧䛺䛔ྍ⬟ᛶ䛜䛒䜛䠊ᮏ◊✲䛾┠ⓗ䛿䠈஧㓟໬Ⅳ⣲䛾⠊ᅖほ䜢⾜䛔ᐃⅬほ 䛻䜘䜛䝕䞊䝍䛜䛭䛾ᆅᇦ䛾䛹䛾⛬ᗘ䛻䜎䛷㐺ᛂ䛷䛝䜛䛛䛹䛖䛛䜢☜ㄆ䛩䜛䛣䛸䛷䛒䜛䠊䛣䛾
䛯䜑䠈DOASἲ䜢⏝䛔䜛䛣䛸䛷㛗ග㊰䛷䛾஧㓟໬Ⅳ⣲⃰ᗘ䛾ィ 䜢ᐇ᪋䛧䛯䠊(1)ィ 䛻⏝䛔䜛ᮃ㐲㙾䜢䠈ཷග⏝䛸ᢞග⏝䛷஧䛴⏝䛔䛯䠊䛣䜜䛻䜘䜚䝣䝸䞁䝆䝜䜲䝈䜢పῶ䛧䛯ィ 䛜ྍ⬟䛸䛺䛳䛯䠊(ᅗ1)(2)㛗ග㊰䛻䛚䛡䜛஧㓟໬Ⅳ⣲⃰ᗘ䜢ィ䛩䜛䛣䛸䛷ᐃⅬほ 䛷ᚓ䜙䜜䜛஧㓟໬
Ⅳ⣲⃰ᗘ䛜䛹䛾⠊ᅖ䜎䛷䛾⃰ᗘ䜢ᤊ䛘䛶䛔䜛䛛䛾᳨ド䜢⾜䛳䛯䠊䠏(3)Ⲉᇛ኱Ꮫ᪥❧䜻䝱䞁䝟䝇䛻䛶ᐃⅬほ䛷ᚓ䜙䜜䛯⃰ᗘ䛿454.0ppm䛷䛒䜚䠈
DOASἲ䛷ᚓ䜙䜜䛯⃰ᗘ䛿473.0ppm䛷䛒䛳䛯䠊ᅗ1㻌 㻌 㻌 㻌 DOASἲ䛻䜘䜚ᚓ䜙䜜䛯
CO2⃰ᗘ䛾ኚື䛸᪥ᑕ㔞䛾ẚ㍑(ᕤᏛ㒊䡚ᱵ䞄ୣ⑓㝔)㻌 㻌 㻌㻌 ௒ᅇ䛾ィ 䛷䠈⣙7400m䛾㊥㞳䛷䜒ィ䛜ྍ⬟䛷䛒䜛䛣䛸䛜ศ䛛䛳䛯䠊௒ᚋ䠈㛗ᮇ㛫䛷ィ㻌ᅗ2㻌 㻌 㻌 ᐃⅬほ 䞉DOASἲ䛻䜘䜚ᚓ䜙䜜䛯CO2⃰ᗘ䛾ኚື䛸᪥ᑕ㔞䛾㛵ಀ(ᕤᏛ㒊䡚ከ㈡㧗ᰯ)䜢⾜䛔䠈㢼ྥ

ᡂᯝᒎ㛤䛾 㢼㏿䝕䞊䝍䜢⏝䛔䜛䠈䛭䛧䛶䠈ィ ᪉఩䜢ኚ䛘䜛䠈䛸䛔䛳䛯䛣䛸䛜䛹䛾⛬ᗘィ 䛥䜜䜛⃰ᗘ䛻ᙳ㡪䜢୚䛘䜛䛾䛛᫂䜙䛛䛻䛩䜛Ⅼ䜢௒ᚋ䛾┠ᶆ䛸䛩䜛䠊≧ἣ

― 43 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-02䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅ྜᡂ㛤ཱྀ䝺䞊䝎ᦚ㍕䝬䜲䜽䝻⾨ᫍ⏝䠢䠬䠣䠝䛾㛤Ⓨ㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Development of FPGA for Microsatellite onboard Synthetic Aperture Radar䠄◊✲௦⾲⪅ྡ䠅㞴Ἴ ୍㍤ (༓ⴥ኱Ꮫ)Kazuteru Namba (Chiba university)䛆せ᪨䛇෇೫Ἴྜᡂ㛤ཱྀ䝺䞊䝎 (CP-SAR) ᦚ㍕↓ே⯟✵ᶵ䛻䛚䛔䛶⾜䜟䜜䜛 Synthetic Aperture Rader (SAR) ಙྕฎ⌮䛻䛚䛔䛶䛿኱㔞䛾䝕䞊䝍䛻ᑐ䛧䠈㧗㏿䛻 FFT➼䛾₇⟬䜢⾜䛖䛣䛸䛜ồ䜑䜙䜜䛶䛔䜛䠊䛭䛾䛯䜑 SAR ಙྕฎ⌮䝅䝇䝔䝮ᵓᡂ⎔ቃ䛸䛧䛶䠈ᚑ᮶䛾 Digital Signal Processer (DSP) 䛛䜙୪ิᗘ䛾㧗䛔 Field Programmable
Gate Array (FPGA) 䜈䛾⛣⾜䛜ᙉ䛟ồ䜑䜙䜜䛶䛔䜛䠊᫖ᖺᗘ䜎䛷䛾◊✲䛷䛿䠈タィ䛧䛯䝅䝇䝔䝮䜢FPGAୖ䛻ᵓᡂ䛧䛶䛔䛯䠊ᮏᖺᗘ䛿ᵝ䚻䛺ᐇ㦂䛻ᑐᛂ䛷䛝䜛䜘䛖䝅䝇䝔䝮ไᚚ㒊䛻᪂つ䛻䝥䝻䝉䝑䝃䜢ᑟධ䛧䠈䛭䛾ㄪᩚ䜢ᐜ᫆໬䛧䛯䠊
Signal processing for unmanned aerial vehicle (UAV) with circularly-polarized synthetic aperture radar䛆Abstract䛇 (CP-SAR) uses high-speed FFT computation for large amounts of data. So, it is strongly required thatsignal processing system for CP-SAR is constructed on field programmable gate arrays (FPGAs)
providing high-speed parallel processing and not traditional digital signal processers (DSPs). ). In the past
years, we designed a SAR image processing system on an FPGA board. In this year we improved its
control unit to facilitate its adjustment to support several types of experiments.

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⌧ᅾ䠈༓ⴥ኱Ꮫ⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊䛷䛿䠈ᆅ⾲⎔ቃ䞉⾲ᒙ䛻䛚䛡䜛ᵝ䚻䛺᝟ሗ䜢⢭ᐦ䛛䛴㧗⢭ᗘ䛻ほ 䛷䛝䠈ୡ⏺ึ䛛䛴᪥ᮏ⊂⮬䛾ᢏ⾡䛻䜘䜛෇೫Ἴྜᡂ㛤ཱྀ䝺䞊䝎䠄CP-SAR䠅䝉䞁䝃ᦚ㍕䛾䝬䜲䜽䝻⾨ᫍ䜢㛤Ⓨ䛧䛶䛔䜛䠊ᮏ◊✲䛷䛿䠈䝬䜲䜽䝻⾨ᫍ䛾䝁䝬䞁䝗䞉䝕䞊䝍䝝䞁䝗䝸䞁䜾䛻䜒䛳䛸䜒㔜せ䛺㒊ศ䛷䛒䜛୰ኸไᚚ㒊䛾ᵓᡂ䛾䛯䜑䠈CP-SAR䛾㧗㏿ฎ⌮䛻᭱㐺䛺FPGA䛾㛤Ⓨ䜢⾜䛖䠊᫖ᖺᗘ䜎䛷䛾◊✲䛷䛿䠈タィ䛧䛯䝅䝇䝔䝮䜢ᐇ㝿䛻FPGAୖ䛻ᵓᡂ䛧䛶䛔䛯䠊ᮏᖺᗘ䛿ᵝ䚻䛺ᐇ㦂䛻ᑐᛂ䛷䛝䜛䜘䛖䝅䝇䝔䝮ไᚚ㒊䛻᪂つ䛻䝥䝻䝉䝑䝃䜢ᑟධ䛧䠈䛭䛾ㄪᩚ䜢ᐜ᫆໬䛧䛯䠊䠄䠍䠅ᚑ᮶䛿FPGA䛰䛡䜢౑⏝䛧䛶ಙྕฎ⌮㒊䜢సᡂ䛧䛶䛔䛯䠊
FPGA䛿ASIC䛸ẚ䜉䛶㛤Ⓨ䛻䛛䛛䜛᫬㛫䛿㠀ᖖ䛻㏿䛔⪅䛾CPU䛸ẚ䜉䜜䜀ㄽ⌮ྜᡂ䛺䛹䛻᫬㛫䛜䛛䛛䛳䛶䛚䜚䠈ᐇ㦂⎔ቃ䛺䛹䛻ྜ䜟䛫䛯௙ᵝኚ᭦䛿ᚲ䛪䛧䜒⡆༢䛷䛿䛺䛛䛳䛯䠊䠄䠎䠅ᮏᖺᗘ䛿FPGAୖ䛻ไᚚ⏝䛾䝋䝣䝖䝁䜰CPU䜢ᐇ⿦䛩䜛䛣䛸䛷䠈䝥䝻䜾䝷䝮䜢᭩䛝᥮䛘䜛䛰䛡䛷䠈ᐜ᫆䛺௙ᵝኚ᭦䜢ྍ⬟䛻䛧䛯䠊㧗㏿₇⟬䛜ᚲせ䛺ฎ⌮䛻䛴䛔䛶䛿ᚑ᮶㏻䜚䛾ฎ⌮䜢⾜䛳䛶䛚䜚䠈ᐇ⾜㏿ᗘ䛿௚䛾ᨵၿⅬ䜒䛒䜚䠈᫖ᖺᗘ䛾䝅䝇䝔䝮䜘䜚㧗㏿䛷䛒䜛䠊ᅗ1 䝅䝇䝔䝮඲య (ᮏ◊✲䛷䛿ಙྕฎ⌮㒊䜢ᨵၿ)䠄䠏䠅㢖⦾䛺௙ᵝኚ᭦䛜ồ䜑䜙䜜䜛ᐇ㦂⏝ ᐃჾ䛻⏝䛔䜛䛣䛸䜢⪃䛘䜛䛸䠈㧗㏿䛻௙ᵝኚ᭦䛜ྍ⬟䛸䛺䛳䛯ᮏᖺᗘ◊✲ᡂᯝ䛾ព⩏䛿኱䛝䛔䠊

ᅗ2 ᮏᖺᗘసᡂ䛧䛯ಙྕฎ⌮㒊ᚑ᮶䜘䜚ศ䛛䜚䜔䛩䛔ᵓᡂ

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ᮏ◊✲ᡂᯝ≀䛿䠈༓ⴥ኱Ꮫ⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊䛷㛤Ⓨ䛥䜜䛶䛔䜛෇೫Ἴྜᡂ㛤ཱྀ䝺䞊䝎
䠄CP-SAR䠅䝉䞁䝃ᦚ㍕↓ே⯟✵ᶵୖ䛷౑⏝䛥䜜䜛ணᐃ䛷䛒䜛䠊― 44 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌㻞㻜㻝㻣㻌
䛆CJ17-03䛇◊✲఍㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅኱Ẽᆅୖ᳨ド⏝ᶵᮦᛶ⬟ྥୖ◊✲఍㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Workshop on Validation Equipment Performance Improvement for Air (VEPIA)䠄◊✲௦⾲⪅ྡ䠅 ᮏከ㻌 ჆᫂㻌 䠄༓ⴥ኱Ꮫ䞉⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊䠅
Yoshiaki HONDA 䠄Center for Environmental Remote Sensing, Chiba University)
䛆せ᪨䛇㻌 ᙜ䝉䞁䝍䞊䜒㛵䜟䛳䛶䛔䜛Skynet㻌 䠄኱Ẽᆅୖ᳨ド䝛䝑䝖䝽䞊䜽䠅䛾ᆅୖ ჾ䛾᭦᪂᫬ᮇ䜢㏄䛘䛶䛔䜛䚹䜎䛯䚸ᙜヱ኱Ẽᆅୖ᳨ド䝛䝑䝖䝽䞊䜽䛿ᡃ䛜ᅜ䛾⾨ᫍ( GOSAT, GOSAT-2, GCOM-C䛺䛹䠅䛻䜘䜛䜶䜰䝻䝌䝹➼䛾኱Ẽほ 䛾ᆅୖ᳨ド䛻䜒㈨䛩䜛䜒䛾䛷䛒䜛䚹䛭䛾䛯䜑䚸ᙜヱ䝛䝑䝖䝽䞊䜽䛾ḟᮇᆅୖ ჾ䛾௙ᵝ䛜᪩ᛴ䛻ᚲせ䛷䛒䜛䚹ᮏ◊✲఍䛿䚸䛭䛾௙ᵝ᳨ウ䛾㆟ㄽ䜢ᨭ᥼䛩䜛䜒䛾䛷䛒䜛䚹䛆Abstract䛇 We are entering the time to update the ground measuring instruments of the Skynet (atmospheric groundverification network) which our center is also involved with. The atmospheric ground verification network
also contributes to ground verification of atmospheric observation such as aerosol by Japanese satellites(GOSAT, GOSAT - 2, GCOM - C etc). Therefore, the specification of the next ground instrument of theSkynet is urgently needed. This study group supports the discussion of the specification review.

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ᡂᯝᒎ㛤䛾
≧ἣ

Ẽೃኚື䛥䜙䛻ே㛫άື䛻䜘䜛ᆅ⌫኱Ẽ䛾ኚື䛿㢧ⴭ䛻䛺䜛䛸䛸䜒䛻䚸౫↛䛸䛧䛶㞼䜔䜶䜰䝻䝌䝹䛾⌧≧ᢕᥱ䛺䜙䜃䛻Ẽೃ䛻ᑐ䛩䜛ᙳ㡪䛜᫂ⓑ䛻䛺䛳䛶䛔䛺䛔≧ែ䛻䛒䜛䚹Ḣ⡿䛿䜒䛸䜘䜚ᡃ䛜ᅜ䛻䛚䛔䛶㞼䜔䜶䜰䝻䝌䝹䛾ほ 䛻䜐䛡䛶᭱᪂䛾䝉䞁䝃ᢏ⾡䜢ᦚ㍕䛧䛯ேᕤ⾨ᫍ䛜ᡴ䛱ୖ䛢䜙䜜㐠⏝䛥䜜䜘䛖䛸䛧䛶䛔䜛䚹⾨ᫍほ䝕䞊䝍䛛䜙ᑟ䛝ฟ䛥䜜䜛≀⌮㔞䛿ᆅୖ᳨ド䛻⿬䛵䛡䛥䜜䛶䚸䜘䜚㧗⢭ᗘ䛻䛺䜚䛭䛾⢭ᗘ䛜ಖド䛥䜜䜛䚹୍᪉䚸஧༑ᩘᖺ๓䛛䜙⡿ᅜ䜔ᡃ䛜ᅜ䛜୰ᚰ䛻䛺䛳䛶㐍䜑䛶䛝䛯኱Ẽᆅୖ᳨ド䝛䝑䝖䝽䞊䜽䛷౑⏝䛥䜜䛶䛔䜛ᶵᮦ䛜⪁ᮙ໬䛧䚸䛭䛾᭦᪂䛜ᮃ䜎䜜䛶䛔䜛䚹䛭䛣䛷䚸ᮏ◊✲఍䛷ᇶ♏ᐇ㦂䜢㏻䛨䛶ᮃ䜎䛧䛔኱Ẽᆅୖ᳨ド⏝ᶵᮦ䛾᳨ウ䜢䛧䚸ᩘᖺ௨ෆ䛻ᥦ᱌䜢䛰䛩䛣䛸䜢┠ⓗ䛸䛩䜛䚹᫖ᖺᗘ䛾Ỵ䜑䜙䜜䛯኱Ẽᆅୖ᳨ド⏝ᶵᮦ䛾௙ᵝ䛿ୗグ䛾㏻䜚䛷䛒䛳䛯䚹䠄䠍䠅ḟᮇᆅୖ ჾ䛻ᮃ䜎䜜䜛ほ ᮲௳• ᐃἼ㛗ᇦ㻌 380nmࠥ900nm•ど㔝ゅ㻌 㖄┤᪉ྥ䠖95ᗘ㻌 Ỉᖹ᪉ྥ䠖0.25ᗘ
• ᐃゅᗘศゎ⬟㻌 㖄┤᪉ྥ䠖0.20ᗘ
•Ỉᖹ᪉ྥ䠖0.25ᗘ
•┤❧ග ග⏝ᕤᏛ⣔䜢᭷䛩䜛䛣䛸
•㍤ᗘ䛚䜘䜃Ἴ㛗ᰯṇ⣔䜢᭷䛩䜛䛣䛸䠄䠎䠅 ḟᮇᆅୖ⣲ᶵ䛾ほ ᪉ᘧ•ศග᪉ᘧ䠖䝥䝸䝈䝮䜢ศᩓ⣲Ꮚ䛸䛩䜛䝻䞁䜾䝇䝸䝑䝖ศග•Ἴ㛗ศゎ⬟䠖900nm䛻䛚䛔䛶10nm⛬ᗘ•䝇䝬䝹ຠᯝ䛚䜘䜃Ⰽ཰ᕪ䜢ྍ⬟䛺㝈䜚ᢚไ䛩䜛•᳨ฟ㒊䛿䠎ḟඖ䝉䞁䝃䜢฼⏝䛩䜛䛣䛸
1ḟඖ䛿✵㛫᪉ྥ䜒䛖୍ḟඖ䛿ศග᪉ྥ•㖄┤᪉ྥ95ᗘ䛾ど㔝ゅ䜢ᣢ䛴䚸ගᏛ⣔䜢ᩘศ⛬ᗘ䛷䠍࿘䛩䜛ᅇ㌿ᯫྎ䛻㍕䛫䜙䜜䜛䛣䛸•ᒇእ䛻タ⨨䛧䚸㢼㞵䛻⪏䛘䜛䛣䛸௨ୖ䛾᮲௳䜢ඖ䛻ヨసᶵ䜢〇స䛧䚸ᒣ᲍኱Ꮫᒇୖ䛻䛶ணഛⓗᐇ㦂䜢ᐇ᪋䛧䛯䚹䛭䛾㝿䚸ග㍈䛾ᚤᑠ䛾䛪䜜䜔᳨ฟჾ㒊䛾␗ᖖ㧗 䛺䛹䛾ၥ㢟䜢Ⓨぢ䛧䚸䛭䜜䜙䛾ၥ㢟䜢ゎỴ䛩䜛䛯䜑䛾ᨵ⿦䜢᪋䛧䚸ணഛᐇ㦂䜢⥅⥆䛧䛶䛔䜛䚹ᮏ◊✲㞟఍䛾ᨭ᥼䛷ྲྀ䜚䜎䛸䜑䛯ヨసᶵ䛾௙ᵝ䛻ᇶ䛵䛝䚸ヨసᶵ䛾〇㐀䜢⾜䛔䚸ணഛⓗᐇ㦂䜢ᒣ᲍኱Ꮫ䛾ᒇୖ䛷ᐇ᪋䛯䚹䛭䜜䜙䛾⤖ᯝ䛾ศᯒ䚸ゎᯒ䜢䛩䛩䜑䚸㍍ᚤ䛺ᨵ⿦䛜䜋䛹䛣䛥䜜䚸ᘬ䛝⥆䛝ணഛᐇ㦂䜢䛴䛵䛡䛶䛔䜛㻌

― 45 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-04䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅㔛ᆅ㔛ᒣ䛻䛚䛡䜛䝸䝰䞊䝖䝉䞁䝅䞁䜾䛻䜘䜛᳜≀Ꮨ⠇ほ 䛾㧗⢭ᗘ໬㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Development of phenological observation in Satoyama ecosystem by using remote-sensing䠄◊✲௦⾲⪅ྡ䠅 Ọ஭㻌 ಙ㻌 䠄ᾏὒ◊✲㛤Ⓨᶵᵓ䞉ᆅ⌫⎔ቃほ ◊✲㛤Ⓨ䝉䞁䝍䞊䠅
Shin Nagai 㻌 䠄Research and Development Center for Global Change,
Japan Agency for Marine-Earth Science and Technology䠅䛆せ᪨䛇㔛ᒣ㔛ᆅ䜢ᑐ㇟䛸䛧䛯᳜≀Ꮨ⠇䛾㧗⢭ᗘ䛺ほ 䛿䚸Ẽೃኚືୗ䛻䛚䛡䜛⏕ែ⣔ᶵ⬟䜔䝃䞊䝡䝇ཬ䜃䚸⏕≀ከᵝᛶ䜢ホ౯䛩䜛䛯䜑䛾㔜せ䛺ㄢ㢟䛸䛺䜛䚹ᮏ◊✲䛿䚸༓ⴥ䛾㔛ᆅ㔛ᒣ䜢ᑐ㇟䛻䚸䝗䝻䞊䞁䠄↓ே⯟✵ᶵ䠅䜢⏝䛔䛶✵୰෗┿᧜ᙳ䜢ẖ᭶⾜䛔䚸SfM䠄structure from motion䠅⏬ീ䜢⏕ᡂ䛧䛯䚹ᆅ⾲㠃≧ែ䛾୕ḟඖⓗ䛺ྍど໬䛿䚸ᶞ✀䛤䛸䛾ᵓ㐀䠄ᶞᙧ䠅䜔᳜≀Ꮨ⠇䛾≉ᚩ䛾᳨ฟ䜢ྍ⬟䛸䛧䛯䚹

䛆Abstract䛇 Accurate phenology observation in the SATOYAMA ecosystem is an important issue to evaluate
ecosystem functions and services, and biodiversity under climate change. We monthly
photographed the canopy surface of SATOYAMA ecosystem in Togane, Chiba using a digital
camera mounted on a drone (unmanned areal vehicle) and then generated SfM (structure frommotion) images. 3D visualization of canopy surface allowed to detect the characteristics of canopy
structure and plant phenology among each tree species.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

㔛ᆅ㔛ᒣ䛿ே䚻䛻ᵝ䚻䛺⏕ែ⣔䝃䞊䝡䝇䜢ᥦ౪䛧䛶䛝䛯䚹䛧䛛䛧䛺䛜䜙䚸㛤Ⓨ䚸฼⏝䞉⟶⌮䛾పୗ䚸ᆅ⌫ᬮ໬䛿䚸㔛ᆅ㔛ᒣ䛾⏕ែ⣔䝃䞊䝡䝇䛸⏕≀ከᵝᛶ䛾పୗ䜢ᘬ䛝㉳䛣䛧䛶䛔䜛䚹㔛ᒣ㔛ᆅ䛾⏕ែ⣔ᶵ⬟䜔䝃䞊䝡䝇ཬ䜃⏕≀ከᵝᛶ䛾ホ౯䜢┠ⓗ䛸䛧䛯ᇶ┙᝟ሗ䜢ᚓ䜛䛯䜑䛻䛿䚸ᆅୖ䠄ᆅⅬ䠅䛸⾨ᫍ䠄ᗈᇦ䠅ほ 䛾✵㛫䝇䜿䞊䝹䛾䜼䝱䝑䝥䜢ᇙ䜑䜛䝗䝻䞊䞁䠄↓ே⯟✵ᶵ䠅䛻䜘䜛䝸䝰䞊䝖䝉䞁䝅䞁䜾ほ 䛜᭷⏝䛷䛒䜛䚹ᮏ◊✲䛿䚸ᵝ䚻䛺ᶞ✀䛛䜙ᵓᡂ䛥䜜䜛㔛ᆅ㔛ᒣ䛾᳜≀Ꮨ⠇䛾㧗⢭ᗘ䛺ほ 䜢┠ⓗ䛸䛧䛶䚸䝗䝻䞊䞁䛻ᦚ㍕䛧䛯䝕䝆䝍䝹䜹䝯䝷䛻䜘䜚༓ⴥ┴ᮾ㔠ᕷ䛻఩⨨䛩䜛㔛ᆅ㔛ᒣ䛾ᆅ⾲㠃䛾≧ែ䜢ẖ᭶᧜ᙳ䛧䚸⏬ീゎᯒ䜢⾜䛳䛯䚹䜎䛯䚸ᆅୖ䛻䝍䜲䝮䝷䝥䝇䜹䝯䝷䜢タ⨨䛧䚸௦⾲ⓗ䛺ᶞ✀䛾᳜≀Ꮨ⠇䜢㐃⥆ⓗ䛻ほ 䛧䛯䚹4᭶䛛䜙12᭶䜎䛷ィ7ᅇ䚸㔛ᆅ㔛ᒣ䛾᳜≀Ꮨ⠇䜢䝗䝻䞊䞁䛻䜘䜚ほ 䛧䚸䝰䝄䜲䜽⏬ീ䠄ᅗ1䠅䛸SfM䠄structurefrom motion䠅⏬ീ䠄ᅗ2䠅䜢ᚓ䛯䚹䜎䛯䚸௦⾲ⓗ䛺ᶞ✀䠄䝁䝘䝷䞉䝇䝎䝆䜲䞉䝰䜴䝋䜴䝏䜽䠅䜢ᑐ㇟䛻䚸䝍䜲䝮䝷䝥䝇䜹䝯䝷䛻䜘䜚㐃⥆ⓗ䛺᳜≀Ꮨ⠇⏬ീ䜢ᚓ䛯䠄ᅗ1䠅䚹ᆅ⾲㠃䛾≧ែ䜢୕ḟඖⓗ䛻ྍど໬䛩䜛䠄SfM⏬ീ䜢⏕ᡂ䛩䜛䠅䛣䛸䛻䜘䜚䚸ᶞ✀䛤䛸䛾ᵓ㐀䠄ᶞᙧ䠅䜔᳜≀Ꮨ⠇䛾≉ᚩ䜢㧗⢭ᗘ䛻䛸䜙䛘䜛䛣䛸䛜䛷䛝䛯䚹௒ᚋ䛾ㄢ㢟䛸䛧䛶䚸᳜≀Ꮨ⠇䛾≉ᚩ䜢䛸䜙䛘䛯SfM⏬ീ䛾ゎᯒ䛻䜘䜛䚸ᶞ✀ุู䛾䜰䝹䝂䝸䝈䝮㛤Ⓨ䛜䛒䛢䜙䜜䜛䚹

ᅗ1
ᅗ1

ᅗ1 䝗䝻䞊䞁䛸䝍䜲䝮䝷䝥䝇䜹䝯䝷䛻䜘䜛᳜≀Ꮨ⠇ほ
ᅗ2

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

ᅗ2 SfM⏬ീ䛾Ꮨ⠇ኚ໬ᮏ◊✲䛾ᡂᯝ䛿䚸䝸䝰䞊䝖䝉䞁䝅䞁䜾ほ 䛻䜘䜛᳜≀✀ከᵝᛶ䛾ᆅᅗ໬䜔䚸ᑗ᮶䛾⾨ᫍ䠄౛䛘䜀䚸ALOS-3䠅䛻ᦚ㍕䛥䜜䜛㧗ゎീᗘ䛺ྍど䞉㏆㉥እ䝉䞁䝃䞊䛾ᢏ⾡㛤Ⓨ䛻ᙺ❧䛶䜙䜜䜛䚹― 46 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-05䛇 P2017-2
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅㟈⅏ὠἼே࿨䝸䝇䜽䝰䝕䝹䛾ỗ⏝໬䛸ᑐ㇟ᇦ䛾ᣑ኱㻌 ┦ᶍ‴•༡ᇦ䜈䛾㐺⏝㻌 㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅 Normalization of Life-Risk Models for Tsunami Disasters and Expansion of Application Areas䠄◊✲௦⾲⪅ྡ䠅 㔠Ꮚ ኱஧㑻㻌 䠄㐶ឤ⎔ቃ䝰䝙䝍䞊㻌 ௦⾲ྲྀ⥾ᙺ䠅
Daijiro KANEKO 㻌 䠄President of Remote Sensing Environmental Monitor, Inc. 䠅䛆せ᪨䛇㻌 ேཱྀᐦᗘ䛾㧗䛔㤳㒔ᅪ䛾୰䛷䚸ὠἼἼ㧗䛜᭱䜒㧗䛔┦ᶍ‴•༡ᇦ䛾」ᩘ䛾㒔ᕷ䛻◊✲ᑐ㇟ᇦ䜢ᣑ኱䛧䛯䚹䛣䜜䜎䛷䛻㟈⅏᫬䛾ὠἼ㑊㞴䛻㛵䛩䜛ᆅ⌮᝟ሗ䛸♫఍䝕䞊䝍䛚䜘䜃ὠἼᾐỈ῝䜢౑⏝䛧䛯ே࿨䝸䝇䜽䝰䝕䝹䜢
㛤Ⓨ䛧䛶䛝䛯䚹ᮏᖺᗘ䛿䚸ᙳ㡪ኚᩘ䛾ᶆ‽໬䛸䚸ே࿨䝸䝇䜽䛾ィ⟬⤖ᯝ䜢↓ḟඖ䛻䜘䜛ᬑ㐢໬䜢䛧䚸௚㒔ᕷ䛸䛾┦஫ẚ㍑䛜ྍ⬟䛸䛺䛳䛯䚹䛣䛾䝰䝕䝹䜢౑䛔䚸䛣䜜䜎䛷䛾㙊಴ᕷ䛛䜙⸨ἑᕷ䜈䛸ᑐ㇟⠊ᅖ䜢ᣑ኱䛧䚸ᗈᇦ㑊㞴ᆅ䛻ຍ䛘䛶㑊㞴䝡䝹䜢ᑐ㇟䛻ྵ䜑䚸ὠἼ฿㐩᫬㛫䛾▷䛔ሙྜ䛾㑊㞴ே࿨䝸䝇䜽䛾ホ౯䜢ຍ䛘䛯䚹The authors have developed social-geographical models for evaluating life risk and have applied it to the䛆Abstract䛇 Kamakura coast in Shonan region near south-western part of Metropolitan Areas of Tokyo. This year, thenormalization of the models makes possible to expand research areas from Kamakura to Fujisawa city.
The models include tsunami refuge buildings for emergent short-time tsunami disasters. The obtained
results can contribute to the prefectural society for preparing planning policies of tsunami disasters.

䠍ேཱྀᐦᗘ䛾㧗䛔㤳㒔ᅪ䛾୰䛷䚸•༡ᾏᓊ䛿ὠἼἼ㧗䛜㻝㻠㻚㻡㼙䛸᭱䜒㧗䛟䚸䜎䛯ከᩘ䛾ほගᐈ䜢ྵ䜑䜛䛸ண᝿䛥䜜䜛ேⓗ⿕ᐖ䛜ᴟ䜑䛶኱䛝䛔䛸䛔䛖≧ἣ䛜䛒䜚䚸ῶ⅏䜢ᅗ䜙䛽䜀䛺䜙䛺䛔≧ἣ䛜ᮏ◊✲䛾⫼ᬒ䛸䛧䛶䛒䜛䚹䛭䛾ᑐ⟇䛸䛧䛶ⴭ⪅䛿䚸ὠἼ㑊㞴ே࿨䝸䝇䜽♫఍䝰䝕䝹䛾㛤Ⓨ䛸䚸㧗つ᱁ᾏᓊ㐨㊰䛸ほග㌴୧䛾㥔㌴ሙ䜢ᇙタ䛧䛺䛜䜙ᗈᇦ㑊㞴ᆅ䜢ෆⶶ䛧䛯ὠἼ㜵⅏ᯇᯘୣ㝠䛾ᘓタ䜢ᥦ᱌䛧䛶䛝䛯䚹 䛣䜜䜎䛷䛾◊✲䛷䛿䚸ὠἼ฿㐩᫬㛫䛜⣙䠑䠌ศ䛸㛗䛟䚸ᗈᇦ㑊㞴ᆅ䜈㑊㞴䛩䜛ሙྜ䛷䛒䛳䛯䚹䛧䛛䛧䚸㟈※ᆅ䛜㏆䛟䛶฿㐩᫬㛫䛜䠔ศ䛛䜙䠍䠌ศ䛾ሙྜ䛾䝸䝇䜽䜢ホ౯䛧ᑐ⟇䜢᥇䜛ᚲせ䛜䛒䛳䛯䚹䛭䛾䛯䜑䚸⾨ᫍ䝕䞊䝍䛛䜙䝡䝹䜢ᢳฟ䛩䜛᪉ἲ䜢᥇⏝䛧䚸䛭䜜䜙䛾୰䛷᭱䜒㏆䛔䝡䝹䜎䛷䛾㑊㞴㊥㞳䜢ィ⟬䛧䚸㑊㞴䝸䝇䜽䛾ホ౯䜢ᐇ᪋䛧䛯䚹䠎◊✲䛾ᡂᯝ䛿௨ୗ䛾㏻䜚䛷䛩䚹䠄䠍䠅⾨ᫍ䝕䞊䝍䜢฼⏝䛧䛯᭱ᑬἲ䛻䜘䜚㑊㞴䝡䝹⩌䜢ᢳฟ䛧䚸௵ព䛾
ᆅⅬ䛛䜙㑊㞴䝡䝹䜎䛷䛾㊥㞳䜢ィ⟬䛩䜛ே࿨䝸䝇䜽䛾ホ౯᪉ἲ䜢㛤Ⓨ䛧䜎䛧䛯䠄ᅗ䠍䠅䚹䛣䜜䛻䜘䜚䚸ከᩘ䛾㑊㞴䝡䝹⩌䜈䛾᭱▷㑊㞴㊥㞳䛜ุ䜚䚸䛹䛾ᆅᇦ䛜㑊㞴䝡䝹䜎䛷䛾㊥㞳䛜㐲䛟䚸㑊㞴䛻᫬㛫䜢せ䛩䜛༴㝤ᆅᖏ䛷䛒䜛䛛䜢ุู䛩䜛䛣䛸䛜ྍ⬟䛸䛺䜚䜎䛩䚹䠄䠎䠅⸨ἑᕷ䛾௵ព䛾ᆅⅬ䛛䜙䚸ᕷෆ䛻ᣦᐃ䛥䜜䛯䠍䠕䠐ᆅⅬ䛾㑊㞴䝡䝹䜎䛷䛾᭱▷㊥㞳䜢ィ⟬䛧䚸䛹䛾ᆅᇦ䛜㑊㞴㊥㞳䛜㛗䛔䛯䜑䛻ὠἼᅗ1 ィ⟬䛥䜜䛯⸨ἑ䛾㑊㞴䝸䝇䜽ศᕸ䛻ᕳ䛝㎸䜎䜜䜛༴㝤ᛶ䛜㧗䛔䛛䜢♧䛧䜎䛧䛯䚹䛭䛾⤖ᯝ䚸⸨ἑᕷෆ䛾㭀἟ᆅ༊䛜᭱䜒㑊㞴䝸䝇䜽䛜㧗䛔䛣䛸䜢᫂䜙䛛䛻䛧䜎䛧䛯䚹
Evaluation System for Refuge Life-Risk
Models for Earthquake Disasters䠄䠏䠅䛣䜜䜎䛷䛻䝸䝇䜽䝰䝕䝹䛿䚸ᆅ⌮᮲௳䛸䛧䛶䛾ᶆ㧗䞉῝ὸ䝕䞊䝍䚸
Tsunami and Simultaneous Multi-FiresఫẸᒃఫᆅ䛛䜙ᗈᇦ㑊㞴ሙᡤ䜈䛾㑊㞴㊥㞳䚸ὠἼᾐỈ῝䛾ኚᩘ䜢᥇⏝䛧䚸䠍䠌䡉༢఩䛾䜾䝸䝑䝖䝕䞊䝍䛻⤫୍䛧䛶䛔䜎䛩䚹୍᪉䚸⾨ᫍ䝕䞊䝍䜢฼⏝䛧䛶䠑䠌䠌䡉䝯䝑䝅䝳䛾ேཱྀ♫఍᮲௳䝕䞊䝍䛻䛴䛔䛶䚸⾨ᫍ䛻䜘䜛Modeling on Evacuation Life-Risk
ᮌ㐀ఫᏯศᕸ䛛䜙ྛᆅⅬ䛾ᮌ㐀ఫᏯ⋡䜢ィ⟬䛧䛶䛔䜎䛩䚹䜾䝸䝑䝗ᆺ䛾ே࿨䝸䝇䜽ィ⟬䛾䝯䝑䝅䝳༢఩䛷䛒䜛䠍䠌䡉༢఩䛾ேཱྀ䝕䞊䝍䛻ඹ㏻
໬䛧䚸䝕䞊䝍ྠ໬䜢㐍䜑䛶䛔䜎䛩䚹ே࿨䝸䝇䜽䛾ホ౯䛸ᑐ⟇䛾ᥦ᱌䛾䛯䜑䛻䚸ྛ⮬἞య䛾ᆅᇦ䛻䛴䛔䛶䚸䛣䜜䜙䛾♫఍䞉ᆅ⌮᮲௳䜢ྠ୍䛾䝯䝑䝅䝳ᆺ䛾䝕䞊䝍䛻ྠ໬䛧䜎䛧䛯䚹䛣䜜䜙䛻䜘䜚♫఍䞉ᆅ⌮䝰䝕䝹䛻䜘䜛ὠἼ㑊㞴ே࿨䝸䝇䜽䛾ホ౯ᢏ⾡䜢☜❧䛧䜎䛧䛯䠄ᅗ䠎䠅䚹䛭䛾⤖ᯝ䚸ఫẸ䛸ほගᐈ䜢ᑐ㇟䛸䛧䛯ὠἼே࿨䝸䝇䜽䝰䝕䝹䛾ᶆ‽໬
ᅗ2 ὠἼ㑊㞴ホ౯䝅䝇䝔䝮䛻䜘䜚䚸ఫẸ䛸ほගᐈ䛜ᾏᓊ䛻㠃䛩䜛௵ព䛾㒔ᕷ䛻䛴䛔䛶䚸ὠἼ⅏ᐖே࿨䝸䝇䜽䜢ィ⟬䛩䜛䛣䛸䛷㑊㞴䜢ཷ䛡䜛ሙྜ䛾ே࿨䝸䝇䜽䛾ホ౯䛜ྍ⬟䛸䛺䜚䜎䛩䚹ᑐ⟇䜢ᨵⰋ䛩䜛䛣䛸䛜䛷䛝䜎䛩䚹

⫼ᬒ
┠ⓗ
᪉ἲ

◊✲䛾
ᡂᯝ

Geographical data

Elevation, Sea depth,
Topography
riversBeachesRefuge areas
Emergency buildings

Landcover
Landcover/Landuse
classification

Distribution of
Wooden houses,
Wooden house
ratio

Wooden houses,
Forest䠈Farm䠈
Concrete building,
Grassland , Water

Urban issues:
Traffic jam
Pedestrian heaven
Beach Parking
Seaside park for
citizen and sightseer

ALOS AVNIRSPOT HRVIKONOS Visible

TsunamiSimulation

Social data

Population density
Elder rates
Young rates

Satellite data

Visible & Infrared Sensors

Geographical term
Flooding Depth
Evacuation distance

Risk evaluation ofSocial termandterm
Geographical
Vulnerable people

Evaluation ofLife-Risk
Dwellers
Sightseers

Socialterms
Elder
and YoungHigh Risk Areas
Disaster vulnerable

Results:

Tsunami eightRun-up height
Flooding depth

Disaster Prevention Hill:
Refuge spaces
Highways
Parking areas
Sightseer road station
Seaside park

Mitigation of Life-Losses
Prevention economic damages
Regional planning andReconstruction

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

㛤Ⓨ䛧䛯ᡭἲ䛻䜘䜛ே࿨䝸䝇䜽䛾ศᕸ䛸㜵⅏ୖ䛾ၥ㢟Ⅼ䛿䚸⚄ዉᕝ┴䛾•༡ᾏᓊ䛾ྛᆅ༊䜢ᡤ⟶䛸䛩䜛⚄ዉᕝ┴ᗇ䚸㙊಴ᕷ䚸⸨ἑᕷ䛻ఏ䛘䛶䛚䜚䚸ྛ⮬἞య䛾㜵⅏ᨻ⟇䛻⏕䛛䛥䜜䛶䛔䜎䛩䚹䜎䛯䚸ᢤᮏⓗᑐ⟇䛸䛧䛶䛾ὠἼ㜵⅏ᯇᯘୣ㝠䜢ྛ⮬἞య䛻ᥦ᱌䛧䛶䛔䜎䛩䚹㛤 Ⓨ 䛧 䛯 ே ࿨ 䝸 䝇 䜽 䛿 䚸 ᅵ ᮌ Ꮫ ఍ ㄽ ᩥ 㞟 䛻 ᥖ ㍕ 䛥 䜜 䜛 䛸 ඹ 䛻 䚸 䜰 䝯 䝸 䜹 ᆅ ⌫ ≀ ⌮ Ꮫ 㐃 ྜ 䠄 American
Geophysical Union䠅 Fall Meeting䛻䛚䛔䛶Ⓨ⾲䛧䚸ୡ⏺䛻䛣䛾ᢏ⾡䜢ఏ䛘䛶䛔䜎䛩䚹䛣䛾䝰䝕䝹䛻䜘䜛ィ⟬⤖ᯝ䛿䚸⏬ീ䛸䛧䛶ྛ⮬἞య䛾㜵⅏㒊㛛䛻ఏ㐩䛧䚸༠㆟䛧䛶䛔䜎䛩䚹― 47 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-06䛇P2017-1
䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅㻌 Ẽೃ䝰䝕䝹ᩘ್ᐇ㦂⤖ᯝ䛻䜘䜛⾨ᫍ䝥䝻䝎䜽䝖ᑟฟ䜰䝹䝂䝸䝈䝮䛾᳨ド䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅 Validation of satellite product estimation algorithm using climate model simulation data䠄◊✲௦⾲⪅ྡ䠅㻌 㤿ῡ࿴㞝㻌 䠄ᅜ❧⎔ቃ◊✲ᡤ䠅
Kazuo㻌 Mabuchi (National Institute for Environmental Studies)㻌 㻌ᮏᖺᗘ䛿䚸⾨ᫍほ 䛻䜘䜚ᚓ䜙䜜䛯໭ᴟᾏᾏị䝕䞊䝍䜢ά⏝䛧䚸䛭䜜䜙䛾ኚື䛾ᙳ㡪ホ౯䛻㛵䛩䜛Ẽೃ䝰䝕䝹ᩘ್ᐇ㦂ゎᯒ䜢⾜䛳䛯䚹⏝䛔䛯ᾏị䝕䞊䝍䛿䚸䠍䠕䠔䠎ᖺ䛚䜘䜃䠎䠌䠍䠎ᖺ䛾໭ᴟᾏᾏịศᕸ䝕䞊䝍䛷䛒䜛䚹䠎䠌䠍䠎ᖺ䛻䛚䛔䛶䛿䚸䠍䠕䠔䠎ᖺ䛻ẚ䜉䛶䚸໭༙⌫ᬮೃᮇ䛾ᾏị䛜┦ᑐⓗ䛻ᑡ䛺䛔䚹ᾏị䛜ᑡ䛺䛔㡿ᇦ䛻䛚䛔䛶䚸SST䛾ṇ೫ᕪ䛻䜘䜛እຊ䛻䜘䜚኱Ẽ䛜୙Ᏻᐃഴྥ䛸䛺䜚䚸ୖ᪼ὶഴྥ䛚䜘䜃ᆅୖẼᅽ䛾㈇೫ᕪഴྥ䛜⏕䛨䜛䚹䛣䜜䜙䛾೫ᕪ䛻䜘䜚䚸኱Ẽ୰ୖᒙ䛾㧗ᗘ䞉Ẽ ೫ᕪ䝟䝍䞊䞁䛜ᙧᡂ䛥䜜䜛䛣䛸䛜ศ䛛䛳䛯䚹௒ᚋ䛥䜙䛻䚸Ⅳ⣲ᚠ⎔䜢ྵ䜑䛯䜘䜚ヲ⣽䛺䚸䝰䝕䝹䞊⾨ᫍほ 䝕䞊䝍┦஫᳨ドゎᯒ䜢㐍䜑䛶⾜䛟ணᐃ䛷䛒䜛䚹
䛆Abstract䛇 In this fiscal year, two cases of numerical simulations were performed and the results were compared.
One is the numerical simulation using the Arctic Ocean sea ice distributions in 1982, and another is thatusing the Arctic Ocean sea ice distributions in 2012. In the areas where the Arctic Ocean sea ices in 2012
are little compared with those in 1982, because of the forcing of positive SST anomalies, negative surface
atmospheric pressure anomalies are produced. These anomalies make the anomaly patterns in the upper
atmospheric levels. We are going to perform more detailed analysis including carbon cycle in the future.
䛆せ᪨䛇

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

䝰䝕䝹䛷෌⌧䛥䜜䜛ྛせ⣲䛿䚸⥲ྜⓗ䛺᳨ド䛿ᚲせ䛷䛒䜛䜒䛾䛾䚸≀⌮ⓗ䛚䜘䜃⏕≀⏕ែᏛⓗ䛻▩┪䛧䛺䛔┦஫స⏝㛵ಀ䜢ᵓ⠏䛧䛶䛔䜛䚹⊂❧䛧䛯⾨ᫍほ 䝥䝻䝎䜽䝖䛸䝰䝕䝹䝥䝻䝎䜽䝖䜢ẚ㍑䛩䜛䛣䛸䛻䜘䜚䚸䛭䜜䜙┦஫䛾᳨ド䚸䛚䜘䜃≀⌮ⓗ䞉⏕≀⏕ែᏛⓗ䝯䜹䝙䝈䝮䛾᥈✲䛜ྍ⬟䛸䛺䜚䚸≀⌮ⓗ⏕≀⏕ែᏛⓗᅉᯝ㛵ಀ䛾⌮ゎ䜒㐍䜐䛸⪃䛘䜙䜜䜛䚹ᮏᖺᗘ䛿䚸Ẽೃ䝰䝕䝹ᩘ್ᐇ㦂⤖ᯝ䛸⾨ᫍほ 䝕䞊䝍䛾┦஫᳨ド䜢┠ⓗ䛸䛧䛶䚸⾨ᫍほ 䛻䜘䜚ᚓ䜙䜜䛯໭ᴟᾏᾏịኚື䝕䞊䝍䜢ά⏝䛧䚸䛭䜜䜙䛾ኚື䛜ᆅ⌫⎔ቃኚື䛻䛹䛾䜘䛖䛺ᙳ㡪䜢୚䛘䜛ྍ⬟ᛶ䛜䛒䜛䛛䛻㛵䛩䜛Ẽೃ䝰䝕䝹ᩘ್ᐇ㦂ゎᯒ䜢⾜䛳䛯䚹⏝䛔䛯ᾏị䝕䞊䝍䛿䚸䠍䠕䠔䠎ᖺ䛚䜘䜃䠎䠌䠍䠎ᖺ䛾໭ᴟᾏᾏịศᕸ䝕䞊䝍䛷䛒䜛䚹䠎䠌䠍䠎ᖺ䛻䛚䛔䛶䛿䚸䠍䠕䠔䠎ᖺ䛻ẚ䜉䛶䚸໭༙⌫ᬮೃᮇ䛾ᾏị䛜┦ᑐⓗ䛻ᑡ䛺䛔䚹ᾏị䛜ᑡ䛺䛔㡿ᇦ䛻䛚䛔䛶䚸䜰䝹䝧䝗䛾ῶᑡ䚸SST䛾ୖ᪼䚸ୖྥ䛝㢧⇕䞉₯⇕䝣䝷䝑䜽䝇䛾ቑຍ䚸ୗྥ䛝▷Ἴᨺᑕ䛾ῶᑡ䚸ୗྥ䛝㛗Ἴᨺᑕ䛾ቑຍ䛜㉳䛝䜛䚹䛣䜜䜙䛾㡿ᇦ䛻䛚䛔䛶䚸SST䛾ṇ೫ᕪ䛻䜘䜛እຊ䛻䜘䜚䚸኱Ẽ䛜୙Ᏻᐃഴྥ䛸䛺䜛䚹䛭䜜䛻䜘䜚䚸ୖ᪼ὶഴྥ䛚䜘䜃ᆅୖẼᅽ䛾㈇೫ᕪഴྥ䛜⏕䛨䜛䚹䛣䜜䜙䛾೫ᕪ䛻䜘䜚䚸኱Ẽ୰ୖᒙ䛾㧗ᗘ䞉Ẽ ೫ᕪ䝟䝍䞊䞁䛜ᙧᡂ䛥䜜䜛䛣䛸䛜ศ䛛䛳䛯䚹௒ᚋ䚸Ⅳ⣲ᚠ⎔䜒ྵ䜑䛯䜘䜚ヲ⣽䛺ゎᯒ䜢㐍䜑䚸Ẽೃ䝰䝕䝹䛷෌⌧䛥䜜䛯⌧㇟䛜䚸⾨ᫍほ 䛚䜘䜃䛭䛾௚䛾ほ 䝕䞊䝍䛛䜙䜒᳨ฟ䛥䜜䛶䛔䜛䛛䛹䛖䛛䚸᳨ド䜢㐍䜑䛶⾜䛟ணᐃ䛷䛒䜛䚹

ᅗ

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

Ẽೃ䝰䝕䝹䛷෌⌧䛥䜜䛯䠍䠕䠔䠎ᖺᾏịᐇ㦂䛸䠎䠌䠍䠎ᖺᾏịᐇ㦂䛾኱Ẽሙ䛾ᕪ䠄䠎䠌䠍䠎䠉䠍䠕䠔䠎䠅䚹ᕥ䛛䜙䠕᭶䚸䠍䠌᭶䚸䠍䠍᭶䚸䛚䜘䜃䠍䠎᭶䛾⤖ᯝ䚹ྛ᭶䛾ᕥୖ䠖ᆅୖẼᅽᕪ䚸ྑୖ䠖ᆅୖẼ ᕪ䚸ᕥୗ䠖䠑䠌䠌䡄Pa㧗ᗘᕪ䚸ྑୗ䠖䠑䠌䠌䡄PaẼ ᕪ䚹┦஫䛻ᅉᯝ㛵ಀ䛾↓䛔⾨ᫍ䝥䝻䝎䜽䝖䛸Ẽೃ䝰䝕䝹ฟຊ䝥䝻䝎䜽䝖䛾⊂❧䛧䛯䝥䝻䝎䜽䝖䛸䛧䛶䛾┦஫ẚ㍑᳨
ド䛿䚸཮᪉䛾䝥䝻䝎䜽䝖䛾⢭ᗘྥୖ䛻䛸䛳䛶㠀ᖖ䛻᭷ຠ䛷䛒䜛䚹⾨ᫍ䝥䝻䝎䜽䝖䛜䝰䝕䝹᳨ド⏝᝟ሗ䛸䛺䜛୍᪉䛷䚸䝰䝕䝹䛻䜘䜛෌⌧⤖ᯝ䛻䛴䛔䛶䜒䚸⾨ᫍ䛻䜘䜛㛫᥋ほ 䝕䞊䝍䛛䜙ಶู䛻䛭䜜䛮䜜䛾䜰䝹䝂䝸䝈䝮䛻䜘䜚ᢳฟ䛥䜜䜛ྛせ⣲䝕䞊䝍䛾䚸ᗈᇦⓗ┦஫᳨ド䛾䛯䜑䛾䚸┦ᑐⓗᇶ‽᝟ሗ䛸ᡂ䜚ᚓ䜛䛸⪃䛘䜙䜜䜛䚹௒ᚋ䜒䚸⾨ᫍ䝥䝻䝎䜽䝖䛸䝰䝕䝹䝥䝻䝎䜽䝖䛾┦஫฼⏝䛾ྍ⬟ᛶ䜢ᐇド䛧䛶䛔䛟䛸䛸䜒䛻䚸䛭䜜䜙䛾䝥䝻䝎䜽䝖䜢⥲ྜⓗ䛻฼⏝䛧䛯ᆅ⌫䝅䝇䝔䝮⌮ゎ䛾䛯䜑䛾䝅䝇䝔䝮ᵓ⠏䜢┠ᣦ䛧䛯䛔䛸⪃䛘䛶䛔䜛䚹― 48 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌䛆 CJ17-07 䛇㻌 ୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅 SKYNET䝕䞊䝍䜢⏝䛔䛯኱Ẽ⎔ቃ䛾◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅 A study of atmospheric environment with the SKYNET data䠄◊✲௦⾲⪅ྡ䠅 ஂឿ㻌 ㄔ㻌 䠄ዉⰋዪᏊ኱Ꮫ䠅
Makoto KUJI㻌 䠄Nara Women’s University䠅䛆せ᪨䛇ᮾ䜰䝆䜰䛻䛚䛡䜛኱Ẽ⎔ቃ䛾ᢕᥱ䛾䛯䜑䚸䜶䜰䝻䝌䝹䛾ືែ䜢ᢕᥱ䛩䜛䛣䛸䛿㔜せ䛷䛒䜛䚹ᮏ◊✲䛷䛿䚸✵Ẽ䝃䞁䝥䝸䞁䜾䚸┠ど䚸୪䜃䛻䝸䝰䞊䝖䝉䞁䝅䞁䜾䝕䞊䝍䜢⏝䛔䛶䚸ዉⰋᕷ䛻䛚䛡䜛䜶䜰䝻䝌䝹䛾≉ᚩ䜢ㄪ䜉䛯䚹䜎䛪䚸ዉⰋዪᏊ኱Ꮫ䛷ほ 䛧䛶䛔䜛 Optical Particle Counter (OPC) 䛸す㒊኱Ẽởᰁ┘どᒁ䛷 ᐃ䛥䜜䛶䛔䜛 PM2.5 䜢ẚ㍑
䛧䛯䛸䛣䜝䚸ẚ㍑ⓗ㧗䛔┦㛵䛜ᚓ䜙䜜䛯䚹ḟ䛻䚸OPC䛸ど⛬䛾ẚ㍑䜘䜚䚸ど⛬ᝏ໬䛻䛿ᑠ⢏Ꮚ䛾ᩘ⃰ᗘ䛾ቑຍ䛜኱䛝䛟ᙳ㡪䛧䛶䛔䜛䛣䛸䛜ศ䛛䛳䛯䚹䛥䜙䛻䚸OPC䛸䚸䜔䛿䜚ዉⰋዪᏊ኱Ꮫ䛷ኴ㝧┤㐩ග䜢ほ 䛧䛶䛔䜛 Microtops 䛸䛾ẚ㍑䛻䜘䜚䚸኱Ẽୗᒙ䛾⢏Ꮚᩘ⃰ᗘ䛸኱Ẽ඲ᒙ䛾䜶䜰䝻䝌䝹㔞䛿ᴫ䛽ྠᵝ䛾ኚື䜢䛧䛶䛔䛯䛣䛸䛜ศ䛛䛳䛯䚹䛣䜜䜙䛾ゎᯒ⤖ᯝ䜢㋃䜎䛘䚸௒ᚋ䛿䚸䛧䛝䛥䛔⾨ᫍ䜔SKYNETほ 䝕䞊䝍䛸䛾ẚ㍑䜢⾜䛖ணᐃ䛷䛒䜛䚹
䛆Abstract䛇 It is important to monitor the aerosol behavior over East Asia. We have performed optical observations interms of aerosol properties with sun photometry and air sampling for four years at Nara. Comparisons of
the particle number concentration with PM2.5 mass concentration, visibility, and aerosol optical thickness
revealed that these observations were consistent as a whole. We will continue these observations tovalidate GCOM-C satellite and SKYNET observations.

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㻌 䜶䜰䝻䝌䝹䛿኱Ẽ⎔ቃ䛻ᙳ㡪䜢୚䛘䜛せᅉ䛾୍䛴䛷䛒䜛䚹㏆ᖺ䚸䜰䝆䜰ᇦ䛷䛿ᛴ㏿䛺⤒῭Ⓨᒎ䛻క䛖኱Ẽởᰁ䛜㢧ᅾ໬䛧䛶䛚䜚䚸䜶䜰䝻䝌䝹䛻䜘䜛኱Ẽ⎔ቃ䜈䛾ᙳ㡪䛜ᠱᛕ䛥䜜䛶䛔䜛䚹䛭䛾Ⅽ䚸䜶䜰䝻䝌䝹䛾ືែ䜢ᢕᥱ䛩䜛䛣䛸䚸≉䛻ே㛫䛜⏕ά䜢Ⴀ䜐኱Ẽୗᒙ䛾䜶䜰䝻䝌䝹䛾ືែ䜢ᢕᥱ䛩䜛䛣䛸䛿㔜せ䛷䛒䜛䚹㻌 䛭䛣䛷䚸ᮏⓎ⾲䛷䛿✵Ẽ䝃䞁䝥䝸䞁䜾䚸┠ど䚸୪䜃䛻䝸䝰䞊䝖䝉䞁䝅䞁䜾䝕䞊䝍䜢⏝䛔䛶ዉⰋᕷ䛻䛚䛡䜛䜶䜰䝻䝌䝹䛾≉ᚩ䜢ㄪ䜉䛯䚹ලయⓗ䛻䛿䚸ዉⰋዪᏊ኱Ꮫ䛷 Microtops 䛸 OPC 䛾ほ 䜢⾜䛳䛶䛔䜛䚹䛣䛾௚䛻䚸ᮏᏛ䛛䜙⣙ 1.5 km 㞳䜜䛯ዉⰋᆅ᪉Ẽ㇟ྎ䛾ど⛬ほ 䝕䞊䝍䛸䚸⣙ 8 km 㞳䜜䛯す㒊኱Ẽởᰁ ᐃᒁ䛷ほ䛥䜜䛯 PM2.5 䛾䝕䞊䝍䜢⏝䛔䛶ẚ㍑ゎᯒ䜢⾜䛳䛯䚹ᮏ◊✲䛷ᚓ䜙䜜䛯ᡂᯝ䛿௨ୗ䛾㏻䜚䛷䛒䜛䚹䠄䠍䠅 Microtops 䛻䜘䛳䛶ほ 䛥䜜䛯䚸Ἴ㛗 440 nm 䛻䛚䛡䜛䜶䜰䝻䝌䝹䛾ගᏛⓗཌ䛥 AOD 䛸䚸OPC 䜢⏝䛔䛶ほ 䛥䜜䛯⢏ᚄ 0.3 μm ௨ୖ䛾඲⢏Ꮚᩘ⃰ᗘ䛾┦㛵䜢ㄪ䜉䛯䠄ᅗ䠍䠅䚹䛭䛾⤖ᯝ䚸┦㛵ಀᩘ䛿 0.82 䛸䚸ẚ㍑ⓗᙉ䛔ṇ䛾┦㛵䜢♧䛧䛯䚹䛣䜜䛻䜘䜚䚸኱Ẽ඲ᒙ䛸ୗᒙ䛾䜶䜰䝻䝌䝹㔞䛿ᴫ䛽ྠᵝ䛾ኚື䜢♧䛧䛶䛔䜛䛸⪃䛘䜙䜜䜛䚹䠄䠎䠅 ⢏ᚄ 0.3ࠥ2.0 μm 䛾⢏Ꮚᩘ⃰ᗘ䛸䚸㉁㔞⃰ᗘ䛷䛒䜛 PM2.5 䛾┦㛵䜢ㄪ䜉䛯䠄ᅗ2䠅䚹䛭䛾⤖ᯝ䚸┦㛵ಀᩘ䛿 0.82 䛸䛺䜚䚸ᙉ䛔ṇ䛾┦㛵䜢♧䛧䛯䚹䛣䛾䛣䛸䛛䜙䚸⢏Ꮚᩘ⃰ᗘ䛸㉁㔞⃰ᗘ䛿ᴫ䛽ྠᵝ䛾ኚື䜢♧䛧䛶䛔䜛䛣䛸䛜ศ䛛䛳䛯䚹㻌䠄䠏䠅 ᬕኳ᫬䛻䛚䛡䜛ど⛬䛿୺䛸䛧䛶䜶䜰䝻䝌䝹䛻䜘䜛ኴ㝧ᨺᑕ䛾ᩓ஘䛷Ỵ䜎䜛䛯䜑䚸䜶䜰䝻䝌䝹䛾⢏Ꮚᩘ⃰ᗘ䛸ど⛬䛾┦㛵䜢ㄪ䜉䛯䚹䛭䛾⤖ᯝ䚸┦㛵ಀᩘ䛿 ⢏ᚄ 0.3ࠥ0.5 μm 䛷 -0.71䚸0.5ࠥ1.0 μm 䛷 -0.64䚸1.0ࠥ
2.0 μm 䛷 -0.55䚸2.0ࠥ5.0 μm 䛷 -0.38䚸5.0 μm ௨ୖ䛷 -0.26 䛸䛺䛳䛯䚹䛣䛣䛷䚸ᑠ⢏Ꮚ䠄0.3ࠥ0.5䚸0.5ࠥ1.0䚸1.0ࠥ2.0 μm䠅䛾ᩘ⃰ᗘ䛿ᖹᆒⓗ䛻
1 䝸䝑䝖䝹䛒䛯䜚ᩘ୓䛛䜙ᩘⓒಶ䛷䛒䜛䛾䛻ᑐ䛧䚸኱⢏Ꮚ䠄2.0ࠥ5.0 μm䚸
5.0 μm ௨ୖ䠅䛷䛿ᩘⓒ䛛䜙ᩘ༑ಶ䛷䛒䛳䛯䚹䛣䛾䛣䛸䜘䜚䚸ど⛬䛿኱⢏Ꮚ䜘䜚䜒ᑠ⢏Ꮚ䛾⢏Ꮚᩘ⃰ᗘ䛾ᙳ㡪䜢ཷ䛡䚸ᑠ⢏Ꮚ䛾ᩘ⃰ᗘ䛜ቑຍ䛩䜛䛸ど⛬䛿䜘䜚ᝏ໬䛩䜛䛸⪃䛘䜙䜜䜛䚹

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ᅗ1 䜶䜰䝻䝌䝹䛾ගᏛⓗཌ䛥䛸⢏Ꮚᩘ⃰ᗘ䛾┦㛵䚹

ᅗ2 ⢏Ꮚᩘ⃰ᗘ䛸PM2.5䛾┦㛵䚹ୖグ䛾◊✲䛾ᡂᯝ䛿䚸䜎䛪䚸ዉⰋᕷ䛾኱Ẽ⎔ቃ䛾ᢕᥱ䛻ᙺ❧䛳䛶䛔䜛䚹䛣䛣䛷䚸す㒊኱Ẽởᰁ┘どᒁ䛷ほ䛥䜜䛶䛔䜛 PM2.5 䛿ᆅ⾲㠃௜㏆䛻䛚䛡䜛1ᆅⅬ䛾ほ 䛷䛒䜚䚸䜎䛯䚸ዉⰋᆅ᪉Ẽ㇟ྎ䛷ほ 䛥䜜䛶䛔䜛ど⛬䛿ዉⰋ┅ᆅ䛾኱Ẽୗᒙ䛻䛚䛡䜛኱Ẽ䛾ぢ㏻䛧䜢♧䛧䛶䛔䜛䛯䜑䚸䛹䛱䜙䛛䛸ゝ䛘䜀䚸ᆅ⾲㠃௜㏆䛾ᒁᡤⓗ䛺ởᰁ䛾ᣦᶆ䛸䛺䜛䚹䛭䛾୍᪉䛷䚸኱Ẽ඲ᒙ䛾ほ 䛿ᮾ䜰䝆䜰䛾኱㝣㉳※䛾኱Ẽởᰁ䛾┘ど䛻㈉⊩䛩䜛䛸⪃䛘䜙䜜䜛䚹௒ᚋ䛿䚸䛧䛝䛥䛔⾨ᫍ䜔SKYNETほ 䝕䞊䝍䛸䛾ẚ㍑䜢㐍䜑䜛ணᐃ䛷䛒䜛䚹― 49 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-08䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅ኴ㝧ග䜢฼⏝䛧䛯⩌ⴠ䝺䝧䝹䛷䛾䝇䝍䞁䝗䜸䝣᳜≀⺯ග ᐃ䠖ᅡሙ䞉᳃ᯘ䜈䛾ᛂ⏝㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Stand-off measurement of solar induced fluorescence from vegetation canopies:㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 application to fields and forest䠄◊✲௦⾲⪅ྡ䠅 ቑ⏣㻌 ೺஧㻌 䠄㟼ᒸ኱Ꮫ䞉ᢏ⾡㒊䠅Kenji Masuda 㻌 䠄Shizuoka University 䞉Division of Technical Service 䠅䛆せ᪨䛇㻌 ᡃ䚻䛿ᆅୖ䛷䛾䝸䝰䞊䝖䝉䞁䝅䞁䜾ィ 䛻䜘䜚䚸㔝እ䛾⩌ⴠ䝺䝧䝹䛷ά⏝ྍ⬟䛺᳜≀⺯ගィ ἲ䜢㛤Ⓨ䛧䛶䛔䜛䚹㻌㻌 㻌 㻌 㻌 ගᏛᮃ㐲㙾䚸෭༷ᘧCCDศගჾ䚸䛚䜘䜃෭༷ᘧCCD䜹䝯䝷䛸⊃ᖏᇦ䝣䜱䝹䝍䜢⏝䛔䛯᳜≀⺯ග䛾㐲㝸ィ 䝅䝇䝔䝮㻌 㻌 㻌 㻌 䜢㛤Ⓨ䛧䛯䚹ி㒔኱Ꮫ㎰Ꮫ◊✲⛉䛾䝎䜲䝈ᅡሙ䛻䛚䛔䛶䚸15䡚30 m䛾㊥㞳䛛䜙ኴ㝧ගບ㉳⺯ග (Solar Induced㻌 㻌 㻌 㻌 Fluorescence: SIF) ほ 䜢⾜䛳䛯䚹䝎䜲䝈ᅡሙ䛻䛚䛔䛶ヨ㦂ィ 䜢ᐇ᪋䛧䚸㔝እ䛷ኴ㝧ගບ㉳䛾⺯ග䝇䝨䜽䝖䝹㻌 㻌 㻌 㻌 (SIF) 䛾ィ 䛜ྍ⬟䛷䛒䜛䛣䛸䜢ᐇド䛧䛯䚹䛆Abstract䛇 㻌 A stand-off system has been developed for observing solar-induced vegetation fluorescence on the
canopy level. The system collects optical signals using a telescope, leading to the spectral measurement
using a CCD spectrometer, as well as the two-dimensional measurement of the fluorescence intensity
distribution by means of a cooled CCD camera. We describe the application of this system to the soybean
field recently performed in Kyoto. It is found that the present approach based on spectral shapes is usefulfor extracting weak fluorescence signals even under daylight conditions.㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌

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GOSAT䛾䝣䞊䝸䜶ศගჾ䠄TANSO-FTS䠅䛾㓟⣲A䝞䞁䝗䛾䝇䝨䜽䝖䝹䝕䞊䝍䛛䜙䜽䝻䝻䝣䜱䝹⺯ග䛜᳨ฟ䛥䜜䚸ᆅୖィ 䛷䛾᳨ド䛜ᚲせ䛸䛺䛳䛶䛔䜛䚹ኴ㝧ගບ㉳⺯ග䠄Solar Radiation-Induced Fluorescence,
SRIF䠅ἲ䜢⏝䛔䛯CCDศගჾ䛻䜘䜛䜽䝻䝻䝣䜱䝹⺯ගᙉᗘ䝇䝨䜽䝖䝹ィ 䛚䜘䜃CCD䜹䝯䝷䛻䜘䜛஧ḟඖⓗ䛺䜽䝻䝻䝣䜱䝹⺯ග⏬ീゎᯒἲ䜢☜❧䛩䜛䛸䛸䜒䛻䚸⏕⫱ሙᡤ䛻䛚䛔䛶䛿᳜≀ⴥ䛾 SRIFἲ䛻䜘䜛ศග䝸䝰䞊䝖䝉䞁䝅䞁䜾ィ 䛚䜘䜃ኴ㝧ග䝇䝨䜽䝖䝹୰䛾ᬯ⥺䛻䜘䜛FLD (Fraunhofer Line-Discrimination)ἲ
䜢⏝䛔䛯᳜≀⺯ගศᕸ⏬ീ䝅䝇䝔䝮䛾㛤Ⓨ䜢⾜䛖䚹㻌㻌 㔝እ䛻䛚䛔䛶㊥㞳ᩘ༑䝯䞊䝖䝹䛛䜙䛾⩌ⴠつᶍ䛷䛾⺯ගほ 䜢⾜䛖䛯䜑䚸ගᏛᮃ㐲㙾䛸෭༷ศගჾཬ䜃㻯㻯㻰䜹䝯䝷䜢⏝䛔䛯ィ 䝅䝇䝔䝮䜢ᵓ⠏䛧䛯䚹㻌 䝎䜲䝈䛾ရ✀䛿䚸䝣䜽䝴䝍䜹䛺䛹䛷䛒䜛䚹Fig. 1䛻䚸ほ䛥䜜䛯⺯ගᙉᗘ䝇䝨䜽䝖䝹䜢♧䛩䚹䝇䝨䜽䝖䝹ィ 䛾≉ᚩ䜢฼⏝䛧䛯⺯ගᙉᗘ⟬ฟἲ䛸䛧䛶䚸ᒇእ䛷ྠ᫬䛻
ほ 䛧䛯ⓑᯈ䛾཯ᑕග䝇䝨䜽䝖䝹䜢᳜≀ⴥ䛛䜙䛾䝇䝨䜽䝖䝹䛸ẚ㍑䛩䜛䚹825 nm䜘䜚㛗Ἴ㛗ഃ䛷䛿᳜≀⺯ග䛜↓ど䛷䛝䜛䛾䛷䚸䛣䛾Ἴ㛗ᇦ䛷᳜⏕䛾┦ᑐ཯ᑕ⋡䜢᥎ᐃ䛧䚸750䡚825 nm䛻䛚䛔䛶ᐇ 䛸䛾ᕪศ䛛䜙⺯ග䝇 Fig.1 Proposed method based on relative reflectance.
䝨䜽䝖䝹䜢⟬ฟ䛩䜛 (Fig. 1)䚹ኴ㝧ගㄏ㉳⺯ග䛻䛚䛔䛶
䛿㓟⣲A䝞䞁䝗䛸Ỉ⵨Ẽ䛾྾཰䛜ぢ䜙䜜䚸䛣䜜䜙䛾㛫䛻䛒䛳䛶䚸䜽䝻䝻䝣䜱䝹྾཰䛾ᙳ㡪䜢ཷ䛡䛺䛔Ἴ㛗775 nm䛾䝇䝨䜽䝖䝹ᙉᗘ䜢ㄞ䜏ྲྀ䜛䚹㻌 Fig. 2 (a) 䛿㊥㞳20 m䛛䜙ᖸ΅䝣䜱䝹䝍䞊F550䛻䜘䜚✚ศ᫬㛫30 ms䛷᧜ᙳ䛧䛯཯ᑕග⏬ീ䛷䛒䜚䚸ⴥ䛾ྥ䛝䛾ᙳ㡪䛜⌧䜜䚸䜋䜌ᆒ୍䛺཯ᑕᙉᗘ䛸䛺䛳䛶䛔䜛䚹୍᪉䚸Fig. 2(b)䛿⊃ᖏᇦᖸ΅䝣䜱䝹䝍䞊F760䜢⏝䛔䛶✚ศ᫬㛫50 ms䛷᧜ᙳ䛧䛯⺯ග⏬ീ䛷䛒䜚䚸ิ䛤䛸䠄ရ✀ู䠅䛻⺯ගᙉᗘ䛾㐪䛔䛜ぢ䜙䜜䜛䚹䝔䜻䝇䝖䝕䞊䝍䜢✚ศ᫬㛫䛷๭䜛䛣䛸䛻䜘䛳䛶count/ms/pixel䛾್䜢⟬ฟ䛧䚸䜹䝷䞊䝇䜿䞊䝹䜢Ỵ䜑䛶䛔䜛䚹㻌 㛤Ⓨ䛧䛯䝅䝇䝔䝮䛿䚸௒ᚋ䚸ᅡሙ䜔᳃ᯘ䛺䛹䛷䝇䝍䞁䝗䜸䝣ィ 䜢ᐇ᪋䛧䛶᭷ຠᛶ䜢᳨ド䛩䜛䛸䛸䜒䛻䚸ᗈᇦ
Fig. 2 Reflection and fluorescence images of the䛷䛾⺯ගᙉᗘศᕸ⏬ീ䛾ྲྀᚓ䛻ά⏝䛧䛶䛔䛟䚹
soybean field recorded at the stand-off .
 ㎰ᴗࡸᯘᴗ࡛ά⏝ࡋࡸࡍ࠸ࡼ࠺ࠊ㊥㞳10㹼100m⛬ᗘ࠿ࡽ⩌ⴠ࡛࣋ࣝࡢ⺯ගほ ࡀྍ⬟࡞ࢩࢫࢸ࣒ࢆ㛤Ⓨࢆ┠ⓗ࡜ࡋ࡚࠸ࡿࠋලయⓗ࡟ࡣࠊி㒔኱Ꮫ㎰Ꮫ◊✲⛉䛾ᅡሙ䛻䛚䛔䛶䚸䜲䝛䞉䝎䜲䝈䜢15䡚
30 m䛾㊥㞳䛛䜙ኴ㝧ගບ㉳⺯ගἲ䛻䜘䜛䜽䝻䝻䝣䜱䝹⺯ග䝇䝨䜽䝖䝹ィ 䜢⾜䛳䛯䚹䜎䛯䚸᳃ᯘ⥲ྜ◊✲ᡤ䛾ᒣᇛほ ᆅ䛻䛚䛔䛶䚸᳃ᯘ (䝁䝘䝷) 䛾ኴ㝧ගບ㉳⺯ගἲ䛻䜘䜛⺯ගศග⏬ീィ 䜢⾜䛳䛯䚹― 50 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-09䛇P2017-1
䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅 UAV䜢⏝䛔䛯᳃ᯘ䛾3D䝰䝕䝹䛾సᡂ䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅 Creation of 3D model of forests using UAV (Unmanned Aerial Vehicle)䠄◊✲௦⾲⪅ྡ䠅ᯇᒣ㻌 ὒ䠄㤳㒔኱Ꮫᮾி㻌 ᆅ⌮Ꮫᩍᐊ䠅
Hiroshi Matsuyama 䠄Department of Geography, Tokyo Metropolitan University䠅䛆せ᪨䛇㻌 ᮏ◊✲䛷䛿䚸BRDF䛾᥎ᐃ䛻ᚲせ䛺䝟䝷䝯䞊䝍䛾୍䛴䛷䛒䜛᳜⏕䛾DSMసᡂ䛻㝿䛧䚸UAV䛷᧜ᙳ䛧䛯⏬ീ䜢฼⏝䛧䛶DSM䜢෌⌧䛩䜛䛣䛸䜢┠ⓗ䛸䛧䛶䚸ᩳ䜑ど⏬ീ䛾฼⏝䜢᳨ウ䛧䜎䛧䛯䚹ᮏᖺᗘ䛾ᡂᯝ䛸䛧䛶䚸ኴ㝧ග䛾ᙳ㡪䛾ᑡ䛺䛔⏬ീ䜔ᑐ㇟ᆅᙧ䛻༶䛧䛯ᩳ䜑ど⏬ീ䜢㏣ຍ䛩䜛䛣䛸䛷䚸෌⌧ᛶ䛜ྥୖ䛩䜛䛣䛸䛜᫂䜙䛛䛻䛺䜚䜎䛧䛯䚹䜎䛯䚸ᩳ䜑ど⏬ീ䜢㏣ຍ䛩䜛䛣䛸䛷ྥୖ䛩䜛෌⌧ᛶ䛻䛿୍ᐃ䛾㝈ᗘ䛜䛒䜛ྍ⬟ᛶ䛜♧䛥䜜䜎䛧䛯䚹௒ᚋ䚸
䛣䛾DSMసᡂᡭἲ䛸BRDF᥎ᐃ䝰䝕䝹䜢฼⏝䛩䜛䛣䛸䛷䚸௵ព䛾ኴ㝧᮲௳䞉ほ ᮲௳䛷ᚓ䜙䜜䜛཯ᑕ⋡䜢᥎ᐃ䛷䛝䜛䜘䛖䛻䛺䜚䜎䛩䚹䛭䛧䛶䚸⾨ᫍ䛾ほ ᮲௳䛸➼䛧䛔᮲௳ୗ䛷䛾཯ᑕ⋡䛾᥎ᐃ䚸⾨ᫍ཯ᑕ⋡䛻㛵䛩䜛ᆅୖ᳨ドᐇ㦂䛜⾜䜟䜜䜛䛣䛸䛜ᮇᚅ䛥䜜䜎䛩䚹䛆Abstract䛇 㻌 In this study, we tried to create more detail DSM which is one of the parameters of estimating BRDF, basedon images taken by UAV. We used oblique images for making precise DSM along with nadir images. As aresult of this year, we elucidated to improve precision of DSM by adding oblique images of specific direction,i.e., the direction for minimizing sunlight effects and/or that considering geographical features of the study area.
In addition, we suggested the limitation of the improvement of DSM by adding oblique images. In the near
future, we can estimate canopy reflectance under any condition of the sun and radiometer by using detail DSM
and BRDF simulator. Also, it is expected to carry out simultaneous observation of the passage of satellites.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

㻌 ᮏ◊✲䛾⫼ᬒ䛻䛿䚸UAV䜢౑⏝䛧䛯஧᪉ྥᛶ཯ᑕศᕸ㛵ᩘ䠄BRDF䠅ほ ཬ䜃䝅䝭䝳䝺䞊䝅䝵䞁䛻ᇶ䛵䛟
BRDF䛾᥎ᐃ䛜ᣲ䛢䜙䜜䜎䛩䚹ᆅ⾲㠃䝰䝙䝍䝸䞁䜾䛻䛚䛔䛶᭱㔜せ䛷䛒䜛ᆅୖほ ≀䛾཯ᑕ⋡䛿䚸ほ ᑐ㇟≀䛾✀㢮䠈ᙧ≧䠈ほ ᫬䛾ኴ㝧䛸䝉䞁䝃䛾఩⨨㛵ಀ䛻䜘䛳䛶኱䛝䛟ኚ໬䛧䜎䛩䚹⵳✚䛥䜜䛯ほ 䝕䞊䝍䛛䜙䜘䜚⢭ᗘ䛾㧗䛔BRDF᥎ᐃ䜢⾜䛖䛯䜑䛻䚸⌧ᐇ䜢཯ᫎ䛧䛯DSM䛜ᚲせ䛻䛺䜚䜎䛩䚹䛭䛾䛯䜑䚸ᮏ◊✲䛾┠ⓗ䛿䚸UAV䜘䜚᧜ᙳ䛧䛯⏬ീ䜢ඖ䛻䚸䜘䜚෌⌧ᛶ䛾㧗䛔3D䝰䝕䝹䠈DSM䛾సᡂ䜢⾜䛖䛣䛸䛷䛩䚹2016ᖺ8᭶
䛸2017ᖺ7᭶䛻䚸ඵ䞄ᓅ༡㯄䛻䛶UAV䛻䜘䜛᳃ᯘୖ✵䛾᧜ᙳ䜢ᐇ᪋䛧䚸」ᩘ䛾ᩳ䜑ど⏬ീ䜢ྲྀᚓ䛧䜎䛧䛯䚹䛣䜜䜙䛾⏬ീ䜢฼⏝䛧䛶3D䝰䝕䝹୪䜃䛻DSM䜢సᡂ䛧䚸⌧ᆅㄪᰝ䛷ᚓ䜙䜜䛯ᶞ㧗䛸䛾ẚ㍑䜢⾜䛔䜎䛧䛯䚹䠄䠍䠅௒ᅇ䛾◊✲䛻䛚䛔䛶䛿䚸UAV䛾」ᩘᅇ䛾䝣䝷䜲䝖䛻䜘䜚」ᩘ᪉ྥ
䛾ᩳ䜑ど⏬ീ䜢᧜ᙳ䛧䛶䝰䝕䝹సᡂ䛻฼⏝䛧䜎䛧䛯䚹UAV᧜ᙳ෗┿
䛛䜙3D䝰䝕䝹䛸DSM䜢సᡂ䛩䜛㝿䛻PhotoScan䠄3D䝰䝕䝹సᡂ䝋䝣䝖䠅䜢౑⏝䛧䜎䛧䛯䚹䛣䛾䝋䝣䝖䛻䛚䛔䛶䚸⏬ീ䛻෗䛳䛶䛔䛺䛔ᆅ≀䛿෌⌧䛷䛝䜎䛫䜣䚹ᶞ㛫䜔ᮌ䛾ᙧ≧䛺䛹䜢䜘䜚⌧ᐇ䛻༶䛧䛯ᙧ䛷DSM䛻཯ᫎ䛩䜛䛯䜑䛻䜒䚸ᩳ䜑ど⏬ീ䛾฼⏝䛜᭷⏝䛸䛥䜜䛶䛔䜎䛩䚹ᮏ◊✲䛾䜘䛖䛻䚸」ᩘ᪉ྥ䛾ᩳ䜑ど䜢฼⏝䛧䛯䝰䝕䝹సᡂ䛾஦౛䛿ᑡ䛺䛟䚸䝰䝕䝹䛾෌⌧ᛶྥୖ䛻」ᩘ᪉ྥ䛾ᩳ䜑ど⏬ീ䛜᭷⏝䛷䛒䜛䛛䚸ᶞ㧗䛾ẚ㍑䛻䜘䛳䛶᳨ウ䛧䜎䛧䛯䚹䠄䠎䠅ᮏᖺᗘ䛿䚸2016ᖺ䛸2017ᖺ䛾2ᖺศ䛾䝕䞊䝍䜢฼⏝䞉ẚ㍑䛧䜎䛧
䛯䚹2016ᖺ䛿ኴ㝧ග䛾ᙳ㡪䛜ᑡ䛺䛔⏬ീ䜢⏝䛔䛯䝰䝕䝹䚸2017ᖺ䛿ᩳ㠃ᆅᙧ䛷䛒䜛ᑐ㇟ᆅ䛻㐺䛧䛯⏬ീ䜢⏝䛔䛯䝰䝕䝹䛛䜙䚸䛭䜜䛮䜜ồ䜑䛯᥎ᐃᶞ㧗䛾ㄗᕪ䛜ᑠ䛥䛔⤖ᯝ䛻䛺䜚䜎䛧䛯䚹䛣䛾䛣䛸䛛䜙䚸ᑐ㇟ ᅗ1 సᡂ䛧䛯DSM䜘䜚ồ䜑䛯᥎ᐃᶞ㧗ᆅ䜔ኳೃ᮲௳䜢⪃៖䛧䛯᧜ᙳ䜢⾜䛖䛣䛸䛷䚸䜘䜚෌⌧ᛶ䛾㧗䛔DSM䛾
䝰䝕䝹䛆2017ᖺ䛾䝕䞊䝍䛻䜘䜛䛇సᡂ䛜ྍ⬟䛻䛺䜛䛣䛸䛜᫂䜙䛛䛻䛺䜚䜎䛧䛯䚹䠄䠏䠅ᮏ◊✲䛷䛿䚸᳃ᯘ䝰䝕䝹సᡂ᫬䛻䛚䛡䜛ᩳ䜑ど⏬ീ䛾ຠᯝ䛜᫂䜙䛛䛻䛺䜚䜎䛧䛯䚹୍᪉䛷䚸ᩳ䜑ど⏬ീ䜢ຍ䛘䛩䛞䜛䛸䝜䜲䝈䛜ቑຍ䛧෌⌧ᛶ䛜పୗ䛩䜛⤖ᯝ䛸䛺䜚䚸ᩳ䜑ど䜢㏣ຍ䛩䜛䛣䛸䛷ྥୖ䛩䜛෌⌧ᛶ䛻䛿୍ᐃ䛾㝈ᗘ䛜䛒䜛ྍ⬟ᛶ䜒♧䛥䜜䜎䛧䛯䚹௒ᚋ䚸ᑐ㇟ᆅ䜢䜘䜚ヲ⣽䛻ᤊ䛘䜛᧜ᙳ᪉ἲ䜔䚸ᑐ㇟ᆅ䛻㐺䛧䛯ᩳ䜑ど䜢䛹䜜䛟䜙䛔㏣ຍ䛩䜛䛣䛸䛜ᮃ䜎䛧䛔䛾䛛䜢᳨ウ䛧䛶䛔䛟䛣䛸䛷䚸ᚑ᮶䛾䝰䝕䝹䛷䛿ᤊ䛘䛵䜙䛛䛳䛯 ᅗ2 ᩳ㠃ᆅᙧ䛻㐺䛧䛯ᩳ䜑ど⏬ീ䛾᧜ᙳ䜲䝯䞊䝆
ୗᒙ᳜⏕䜔䜼䝱䝑䝥䛺䛹䛾ᚤ⣽ᙧ≧䛾෌⌧ᛶྥୖ䛻䛴䛺䛜䜚䚸᭦䛻᳃ᯘ䛾≧ែ䜢ヲ⣽䛻ᢕᥱ䛩䜛䛣䛸䛜ྍ⬟䛻䛺䜛䛸⪃䛘䜙䜜䜎䛩䚹

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

㻌 ฼⏝䛧䛯ᡭἲ䛿䜎䛰᳨ウ䛜୙༑ศ䛷䛒䜚䚸௚䛾◊✲䜈䛾ά⏝䜔ᐇ⏝໬➼䛿䛥䜜䛶䛔䜎䛫䜣䚹䛧䛛䛧䛺䛜䜙䚸௒ᚋ䚸ᮏ◊✲䛾⤖ᯝᚓ䜙䜜䛯DSM䜢BRDF䝰䝕䝹䛾ቃ⏺᮲௳䛸䛧䛶䝅䝭䝳䝺䞊䝅䝵䞁䜢⾜䛖䛣䛸䛷䚸௵ព䛾ኴ㝧᮲௳䞉ほ ᮲௳䛷ᚓ䜙䜜䜛཯ᑕ⋡䜢᥎ᐃ䛷䛝䜛䜘䛖䛻䛺䜚䜎䛩䚹䛣䜜䛻䜘䜚䚸⾨ᫍ䛾ほ ᮲௳䛸➼䛧䛔᮲௳ୗ䛷䛾཯ᑕ⋡䜢ᚓ䜛䛣䛸䛜䛷䛝䚸⾨ᫍ཯ᑕ⋡䛻㛵䛩䜛ᆅୖ᳨ドᐇ㦂䛜ྍ⬟䛻䛺䜚䜎䛩䚹䜎䛯䚸ほ 䜢⥅⥆䛧䛶ᐇ᪋䛩䜛䛣䛸䛷䚸DSM䛛䜙ᶞᮌ䛾ᡂ㛗㔞䛾ィ 䛺䛹䜒ྍ⬟䛻䛺䜚䜎䛩䚹― 51 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-10䛇P2017-3㻌㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅ኪ㛫ග⾨ᫍ⏬ീ䛚䜘䜃GIS䜢฼⏝䛧䛯ୡ⏺䛾⣲ᮦ䝇䝖䝑䜽䛾᥎ィ㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Estimation of in-use stock of materials in global scale using nighttime light images㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 and GIS䠄◊✲௦⾲⪅ྡ䠅 ྜྷᮧ ᙲ኱㻌 䠄༓ⴥ኱Ꮫ኱Ꮫ㝔ᕤᏛ◊✲⛉㒔ᕷ⎔ቃ䝅䝇䝔䝮䝁䞊䝇䠅Akihiro Yoshimura㻌 䠄Dept. of Urban Environment Systems, Chiba University䠅䛆せ᪨䛇㻌 ᮏ◊✲䛷䛿䚸ᚑ᮶䜘䜚䜒⢭ᐦ䛺≀㉁䛾䝇䝖䝑䜽㔞᥎ィ䛻ഛ䛘䚸ኪ㛫ග⾨ᫍ⏬ീ䛸ᾘ㈝㟁ຊ䛾┦㛵㛵ಀ䜢ㄪᰝ䛧䛯䚹ᮏ◊✲䛷䛿༓ⴥ┴ෆ䛾ᕷ⏫ᮧ䜢ᑐ㇟䛸䛧䛶ኪ㛫ග䜢ྲྀᚓ䛧䚸ᾘ㈝㟁ຊ䛾᥎ィ್䜢ẚ㍑䛩䜛䛣䛸䛷䚸䜘䜚⢭ᐦ䛺⣲ᮦ䛾䝇䝖䝑䜽㔞᥎ィ䜢⾜䛖䛣䛸䜢┠ⓗ䛸䛧䛯䚹㻌 䛣䜜䜎䛷䛾᥎ィ䛻䜘䛳䛶䚸༓ⴥ┴ෆ䛾ྛᕷ⏫ᮧ䛻䛴䛔䛶䚸ᾘ㈝㟁
ຊ䛸ኪ㛫ගᙉᗘ䛸䛾㛫䛻ᙉ䛔┦㛵䛜䛒䜛䛣䛸䛜☜ㄆ䛥䜜䛯䚹䜎䛯䚸ᾘ㈝㟁ຊ䛻ᑐ䛧䛶ኪ㛫ගᙉᗘ䛿〇㐀ᴗ䛾ᾘ㈝๭ྜ䛜኱䛝䛔ሙྜ䛿ᑠ䛥䛟䚸➨୕ḟ⏘ᴗ䛾ᾘ㈝๭ྜ䛜኱䛝䛔ሙྜ䛿኱䛝䛟䛺䜛䛸䛔䛖ഴྥ䛜☜ㄆ䛥䜜䛯䚹䛣䛾䛣䛸䛛䜙䚸ᕷ⏫ᮧูኪ㛫ගᙉᗘ䜢௒ᚋ䛾䝇䝖䝑䜽㔞᥎ィ䛻฼⏝䛷䛝䜛ྍ⬟ᛶ䜢☜ㄆ䛧䛯䚹

䛆Abstract䛇

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎

㻌 ᪤Ꮡ◊✲䛻䛚䛔䛶䚸ኪ㛫ග䛸≀㉁䝇䝖䝑䜽㔞䛾㛫䛻┦㛵䛜䛒䜛䛣䛸䛜▱䜙䜜䛶䛔䜛[1]䚹䛯䛰䛧䚸䝇䝖䝑䜽䛿ᅜ䛤䛸䛾ᾘ㈝㔞䜢ඖ䛻䛧䛶᥎ィ䛥䜜䜛䛯䜑䚸㒔ᕷ䝺䝧䝹䛷䛾⢭ᐦ䛺ホ౯䛿㞴䛧䛔䚹㻌 ୍᪉䚸㒔ᕷ䛻䛚䛡䜛䝇䝖䝑䜽㔞䛸䜶䝛䝹䜼䞊ᾘ㈝䛾┦㛵㛵ಀ䛻䛴䛔䛶䛿䚸ྡྂᒇᕷ䛻㛵䛩䜛䜿䞊䝇䝇䝍䝕䜱[2]䛛䜙䚸䜶䝛䝹䜼䞊ᾘ㈝㔞䛛䜙≀㉁䝇䝖䝑䜽㔞䜢᥎ィ䛷䛝䜛ྍ⬟ᛶ䛜䛒䜛䚹䜎䛯䚸䜶䝛䝹䜼䞊ᾘ㈝㔞䛸ኪ㛫ග䛻䛿┦㛵䛜䛒䜛䛸⪃䛘䜙䜜䜛䚹䜘䛳䛶䚸ኪ㛫ග⾨ᫍ⏬ീ䜢ඖ䛻䚸䜶䝛䝹䜼䞊ᾘ㈝䛸䝇䝖䝑䜽㔞䛾┦㛵㛵ಀ䜢฼⏝䛧䚸⤫ィ䝕䞊䝍䛾୙㊊䛧䛶䛔䜛ᆅᇦ䛷䜒䚸䜘䜚⢭ᐦ䛺≀㉁䝇䝖䝑䜽㔞䛾᥎ィ䛜ྍ⬟䛷䛒䜛䛸⪃䛘䜙䜜䜛䚹㻌 ௨ୖ䜢㋃䜎䛘䚸ᮏ◊✲䛷䛿༓ⴥ┴ෆ䛾ྛᕷ⏫ᮧ䜢ᑐ㇟䛸䛧䛶䚸䝇䝖䝑䜽㔞᥎ィ䜢䜘䜚⢭ᐦ䛻⾜䛖䛯䜑䛻ᚲせ䛺ኪ㛫ග䛸ᾘ㈝㟁ຊ䛾┦㛵㛵ಀ䜢ㄪᰝ䛧䛯䚹[1] Int. J. of Remote Sensing, 34 (2013), 490-504㻌 㻌 㻌 [2] ㇂ᕝ䜙, LCAᏛ఍ㄅ, 6 (2010), 92-101
㻌 〇㐀ᴗ䚸➨୕ḟ⏘ᴗ䚸ᐙᗞ㒊㛛䛾ᾘ㈝㟁ຊ䝕䞊䝍䚸䛚䜘䜃ྛ✀⤫ィ䝕䞊䝍䜢฼⏝䛧䚸 ㈨※䜶䝛䝹䜼䞊ᗇ䛾Ⓨ⾜䛩䜛䜺䜲䝗䝷䜲䞁[1]䛻ᇶ䛵䛔䛶䚸༓ⴥ┴ෆ䛾ྛᕷ⏫ᮧ䛻䛴䛔䛶ᾘ㈝㟁ຊ䜢᥎ィ䛧䛯䚹䛣䛾⤖ᯝ䜢䚸ᕷ⏫
ᮧู䛾ኪ㛫ගほ 䝕䞊䝍䛸ẚ㍑䛩䜛䛣䛸䛷䚸ኪ㛫ග䛸ᾘ㈝㟁ຊ䛾┦㛵㛵ಀ䜢᥎ィ䛧䛯䚹㻌 䛭䛾⤖ᯝ䚸༓ⴥ┴䛾ྛᕷ⏫ᮧ䛾ᾘ㈝㟁ຊ䛸ኪ㛫ග䛾㛫䛻䛿ᙉ䛔┦㛵䛜䛒䜛䛣䛸䛜☜ㄆ䛥䜜䛯䚹ᕷཎᕷ䛾ᾘ㈝㟁ຊ䛿ኪ㛫ගᙉᗘ䛻ẚ䜉኱䛝䛺್䛸䛺䛳䛯䛜䚸䛣䜜䛿ᕷཎᕷ䛾ᕤᴗ〇ရฟⲴ㢠䛜┴ୗ䛷᭱኱䛷䛒䜛䛣䛸䚸➨୕ḟ⏘ᴗ䜔ఫᏯྥ䛡䛾㟁ຊᾘ㈝๭ྜ䛜8000
ᑠ䛥䛔䛣䛸䛻㉳ᅉ䛩䜛䛸⪃䛘䜙䜜䚸〇㐀ᴗ䛾㟁ຊᾘ㈝๭ྜ䛜7000
኱䛝䛔ྩὠᕷ䜔⿇䜿ᾆᕷ䛺䛹䛷ྠᵝ䛾ഴྥ䛜☜ㄆ䛥䜜䛯䚹6000
㻌 ୍᪉䚸䝃䞊䝡䝇ᴗ䛺䛹䛾➨୕ḟ⏘ᴗ䛾๭ྜ䛜኱䛝䛔
y = 261.72x + 90.25
༓ⴥᕷ䜔ᡂ⏣ᕷ䛷䛿䚸ᾘ㈝㟁ຊ䛻ẚ䜉䛶ኪ㛫ගᙉᗘ䛜
5000
R² = 0.7212
ᙉ䛔ഴྥ䛜ぢ䜙䜜䛯䚹➨୕ḟ⏘ᴗ䛻䛿ᑠ኎ᗑ⯒䛺䛹
4000䝃䞊䝡䝇ᴗ䛜ྵ䜎䜜䛶䛚䜚䚸䝕䜱䝇䝥䝺䜲䛾᫂䛛䜚䛺䛹䛻3000㉳ᅉ䛧䛶ኪ㛫ගᙉᗘ䛜ᙉ䛟䛺䛳䛯䛸⪃䛘䜙䜜䜛䚹2000
㻌 ௒ᚋ䛿䚸〇㐀ᴗ䜔ఫᏯ䛺䛹䚸ᅵᆅ䛾฼⏝⏝㏵䛻䜘䜛
1000≀㉁䝇䝖䝑䜽㔞᥎ィ䜢⾜䛔䚸ኪ㛫ගᙉᗘ䛸ᾘ㈝㟁ຊ䚸0䝇䝖䝑䜽㔞䛾┦㛵㛵ಀ䜢㒔ᕷ䝺䝧䝹䛷ồ䜑䜛䚹
0
10
20
30
䜎䛯䚸䛭䛾⤖ᯝ䜢ඖ䛻䚸⤫ィ䝕䞊䝍䛾୙㊊䛧䛶䛔䜛-6䡡nW䡡cm-2䡡sr-1
ኪ㛫ගᙉᗘ,r/10ᅜ䞉ᆅᇦ䛻㛵䛧䛶䚸ᚑ᮶䜘䜚䜒⢭ᐦ䛺䝇䝖䝑䜽㔞᥎ィ䜢㐍䜑䜛䚹
ᾘ㈝㟁ຊ, E / MWh◊✲䛾ᡂᯝIn this work, for the more precise estimation of the in-use material stock, the correlation between
the electricity consumption and radiance calibrated nighttime light composites of the cities in
Chiba were evaluated. Through this work, the strong correlations were confirmed, and thechange of correlation coefficient by the difference of consumers ratio between the industry sector,
the tertiary sector and the residential sector were also confirmed.

[1] ㈨※䜶䝛䝹䜼䞊ᗇ䚸ᕷ⏫ᮧู䜶䝛䝹䜼䞊㻌 㻌 ᾘ㈝⤫ィసᡂ䛾䛯䜑䛾䜺䜲䝗䝷䜲䞁

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

ᅗ1

༓ⴥ┴ෆ䛾ᕷ⏫ᮧูኪ㛫ගᙉᗘ䛸᥎ィᾘ㈝㟁ຊ㔞䛾┦㛵㛵ಀᮏ◊✲䛷䛿䚸㟁ຊᾘ㈝䛸䛾䝇䝖䝑䜽㔞䛾┦㛵㛵ಀ䜢฼⏝䛧䛯ୡ⏺つᶍ䛷䛾⣲ᮦ䝇䝖䝑䜽䛾⢭ᐦ䛺᥎ィ䜢┠ⓗ䛸䛧䛶䛔䜛䛜䚸ኪ㛫ග䜢ඖ䛻䝇䝖䝑䜽㔞䜢᥎ィ䛩䜛ᡭἲ䛿䚸ᇶ┙䝬䝔䝸䜰䝹䛷䛒䜛䚸ୡ⏺䛻䛚䛡䜛ᅵᮌ䛚䜘䜃ᘓ⠏䛻⏝䛔䜙䜜䛶䛔䜛㗰ᮦ䛾䝇䝖䝑䜽㔞䛾᥎ィ䛻䜒⏝䛔䜙䜜䛶䛔䜎䛩䚹䠄Feng-Chi Hsu, Christopher D. Elvidge
and Yasunari Matsuno, Exploring and estimating in-use steel stocks in civil engineering and buildings
from night-time lights, International Journal of Remote Sensing, Vol.34, No.2, (2013) , 490-504䠅

― 52 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠒㻌
䛆CJ17-11䛇㻌 SP2017-1
䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅⾨ᫍ⏬ീ䜢⏝䛔䛯⮬↛⅏ᐖᢕᥱ䛻㛵䛩䜛◊✲䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Assessment of damage situation due to natural disasters using remote sensing data䠄◊✲௦⾲⪅ྡ䠅 䝹䜲䝇㻌 䝰䝲㻌 䠄 ᮾ໭኱Ꮫ㻌 ⅏ᐖ⛉Ꮫᅜ㝿◊✲ᡤ 䠅
Luis Moya (International Research Institute of Disaster Science, Tohoku University)
䛆せ᪨䛇㻌 ᮏ◊✲䛷䛿䠈2016ᖺ⇃ᮏᆅ㟈䛾⿕⅏ᆅ䜢ᑐ㇟䛸䛧䛶䠈⿕⅏๓ᚋ䛾ALOS-2㻌 PALSAR-2⏬ീ䛾ኚ໬ᢳฟ䛻䜘䜚䠈ಽቯᘓ≀䛾ᢳฟ䜢ヨ䜏䛯䠊┈ᇛ⏫䜢ᑐ㇟䛸䛧䛶䠈⿕⅏๓ᚋ䛾PALSAR-2⏬ീ䛾ኚ໬㔞䛸䠈᥎ᐃᆅ㟈ືศᕸ䠈᪤ 䛾⤒㦂ⓗᘓ≀⿕ᐖ᥎ᐃᘧ䜢⤌ྜ䜟䛫䛶䠈ಽቯᘓ≀䛾ᢳฟ䜢ヨ䜏䛯䠊䛣䛾⤖ᯝ䜢⯟✵䝺䞊䝄䞊ィ 䛻ᇶ䛵䛟ಽቯᘓ≀䛾ᢳฟ⤖ᯝ䛸ẚ㍑
䛧䛯䛸䛣䜝䠈Ⰻዲ䛺୍⮴䛜ᚓ䜙䜜䛯䠊

䛆Abstract䛇
This study aims to estimate the distribution of building damage by joining these two sources of information:change detection of pre- and post-event SAR images and spatial distribution of strong motion intensity.
Building damage surveyed at Mashiki town due to the 2016 Mw7.0 Kumamoto earthquake is used as
ground truth data to verify our hybrid method.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

㻌䛆⫼ᬒ䞉┠ⓗ䛇㻌 2016ᖺ4᭶䛻Ⓨ⏕䛧䛯୍㐃䛾⇃ᮏᆅ㟈䛿䠈┈ᇛ⏫䠈⇃ᮏᕷ䠈༡㜿⸽ᮧ䛺䛹䜢୰ᚰ䛸䛩䜛ᗈ䛔ᆅᇦ䛾ᘓ≀䜔䜲䞁䝣䝷᪋タ䛻኱䛝䛺ᦆᐖ䜢୚䛘䛯䠊ᮏ◊✲䛷䛿䠈ྛ✀䛾䝸䝰䞊䝖䝉䞁䝅䞁䜾ᢏ⾡䜢㥑౑䛧䛶䠈ᆅẆኚື䜔ᆅ┙ኚ≧䠈ᵓ㐀≀⿕ᐖ䛾ᵝ┦䜢ᗈᇦ䛻䜟䛯䜚᪩ᮇ䛻ᢕᥱ䛩䜛ᢏ⾡䛾☜❧䜢┠ᣦ䛧䛶䛔䜛䠊䛸䛟䛻2014ᖺ
5᭶䛻ᡴ䛱ୖ䛢䜙䜜䛯ALOS-2䠄䛰䛔䛱2ྕ䠅䛻䛸䛳䛶䛿䠈䛭䜜௨᮶ᡃ䛜ᅜึ䛾M7つᶍ䛾ෆ㝣ᆅ㟈䛷䛒䜚䠈ᖸ΅SAR䛛䜙ᆅẆኚື㔞䛾ᢕᥱ䜔䠈ᚋ᪉ᩓ஘ᙉᗘ䛾ᆅ㟈๓ᚋẚ㍑䛻䜘䜛ᘓ≀⿕ᐖᢕᥱ䛺䛹䜈䛾᭷ຠᛶ䜢♧䛩䛻䛿᭱㐺䛾ᶵ఍䛸䛔䛘䜘䛖䠊䜎䛯䠈2011ᖺᮾ᪥ᮏ኱㟈⅏䜔2017ᖺ஑ᕞ໭㒊㇦㞵䜢ᑐ㇟䛸䛧䛶䠈SAR⏬ീ䛻ᇶ䛵䛟ᶫᱱ⿕ᐖ䛾ᢳฟ䜢ヨ䜏䜛䠊䛆᪉ἲ䛇⥭ᛴ᧜ᙳSAR⏬ീ䜢⏝䛔䛯⿕ᐖᢕᥱ䛻㛵䛩䜛◊✲䜢ᐇ᪋䛩䜛䠊䠍䠊ᘓ≀䛾⿕ᐖᢕᥱ
2016ᖺ⇃ᮏᆅ㟈䛾⿕⅏ᆅ䜢ᑐ㇟䛻䠈ᆅ㟈ᚋ䛾⾨ᫍSAR⏬ീ䛾䜏䛻䜘䜛ᘓ≀⿕ᐖᢳฟἲ䜢᳨ウ䛩䜛䠊ಽ䜜㎸䜏䜔䝺䞊䝎ᙳ䛾≧ἣ䛛䜙ᘓ≀ᦆቯ䜢᥎ᐃ䛧䠈1᫬ᮇ䛸2᫬ᮇẚ㍑䛻䜘䜛᥎ᐃ⤖ᯝ䜢ẚ䜉䠈1᫬ᮇ䛻䜘䜛ᡭἲ䛾㐺⏝᮲௳䜢᳨ウ䛩䜛䠊䠎䠊ᶫᱱ䞉㐨㊰䛾⿕ᐖᢕᥱᮾ᪥ᮏ኱㟈⅏䛾ὠἼ䛻䜘䜛ᶫᱱ䜔㐨㊰⿕ᐖ䛜኱䛝䛛䛳䛯ኴᖹὒἢᓊ㒊䛾1᫬ᮇ䜎䛯䛿2᫬ᮇ䛾⾨ᫍ
SAR⏬ീ䜢⏝䛔䛶䠈⿕⅏≧ἣ䛾ᢕᥱ䜢ヨ䜏䜛䠊䛭䛾⤖ᯝ䜢⯟✵෗┿䜔⿕ᐖሗ࿌᭩䛺䛹䛸ẚ㍑䛧䛶䠈1᫬ᮇ
SAR⏬ീ䛻䜘䜛⿕ᐖᢳฟ䛾㐺⏝᮲௳䜔⢭ᗘ䜢᳨ウ䛩䜛䠊

䠎
◊✲䛾
ᡂᯝ

2016ᖺ⇃ᮏᆅ㟈䛻䜘䜛ᘓ≀⿕ᐖ䜢ALOS-2 PALSAR2䝕䞊䝍䛸⤒㦂ⓗ⿕ᐖ㛵ᩘ䜢⼥ྜ䛧䛯᪉ἲ䛷᥎ᐃ䛩䜛䛣䛸䜢ヨ䜏䛯䠊1᫬ᮇ䛾SAR⏬ീ䛛䜙䛾⿕ᐖ᥎ᐃ䛾๓ẁ㝵䛸䛧䛶䠈๓ᚋ2᫬ᮇ䛾SAR⏬ീ䛻䜘䜛ᚋ᪉ᩓ஘ಀ
ᩘ䛾┦㛵ಀᩘr䛸ᕪศ್d䜢⤌ྜ䜟䛫䛶䠈⿕ᐖ䛾᭷↓䛾㜈್䜢Ỵᐃ䛧䛯䠊䛣䛾㝿䠈ほ ᆅ㟈ືศᕸ䛸䛾⿕ᐖ㛵ᩘ䛻ᇶ䛵䛟᥎ᐃᘓ≀ಽቯ⋡䜢ồ䜑䛯䠊ಶูᘓ≀䛻ᑐ
䛩䜛2䛴䛾䝟䝷䝯䞊䝍䜢᭱䜒Ⰻ䛟㆑ู䛩䜛㜈್䜢ồ䜑䛯䛸䛣䜝䠈ᅗ䛾䜘䛖䛺r䛸d䛾㛵ಀᘧ䛜᭱䜒ศ㞳ᛶ⬟䛜㧗䛔䛣䛸䛜ศ䛛䛳䛯䠊⯟✵䝺䞊䝄䞊ィ ⤖ᯝ䛺䛹䛸ẚ㍑䛧䠈
䛣䛾⤖ᯝ䛿Ⰻዲ䛺୍⮴䜢ᚓ䛶䛔䜛䠊㻌 䛣䛾᪉ἲ䛿䠈⌧ᆅ᳨ド䝕䞊䝍䜢ᚲせ䛸䛧䛺䛔䛯䜑䠈⅏
ᐖⓎ⏕┤ᚋ䛾⿕ᐖ᥎ᐃᡭἲ䛸䛧䛶᭷ຠ䛸⪃䛘䛶䛔䜛䠊

㠀ಽቯᘓ≀

ಽቯᘓ≀
ALOS-2⏬ീ䛻ᇶ䛵䛟ಽቯᘓ≀

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◊✲ᡂᯝ䛿䠈௨ୗ䛾ㄽᩥ䛸䛧䛶බ⾲䛧䛯䠊㻸㻚㻌㻹㼛㼥㼍㻘㻌㻱㻚㻌㻹㼍㼟㻘㻌㻮㻚㻌㻭㼐㼞㼕㼍㼚㼛㻘㻌㻿㻚㻌㻷㼛㼟㼔㼕㼙㼡㼞㼍㻘㻌㻲㻚㻌㼅㼍㼙㼍㼦㼍㼗㼕㻘㻌㻮㼡㼕㼘㼐㼕㼚㼓㻌㼐㼍㼙㼍㼓㼑㻌㼙㼍㼜㼜㼕㼚㼓㻌㼡㼟㼕㼚㼓㻌㼏㼔㼍㼚㼓㼑㻌㼐㼑㼠㼑㼏㼠㼕㼛㼚㻌㼛㼒㻌㻭㻸㻻㻿㻙㻞㻌㻼㻭㻸㻿㻭㻾㻙㻞㻌㻿㻭㻾㻌㼕㼙㼍㼓㼑㼟㻌㼍㼚㼐㻌㼟㼠㼞㼛㼚㼓㻌㼓㼞㼛㼡㼚㼐㻌㼙㼛㼠㼕㼛㼚㻌㼐㼍㼠㼍㻘㻌㻼㼞㼛㼏㻚㻌㼛㼒㻌㼠㼔㼑㻌㻵㼚㼠㼑㼞㼚㼍㼠㼕㼛㼚㼍㼘㻌㻿㼥㼙㼜㼛㼟㼕㼡㼙㻌㼛㼚㻌㻾㼑㼙㼛㼠㼑㻌㻿㼑㼚㼟㼕㼚㼓㻌㻞㻜㻝㻣㻘㻌㻺㼍㼓㼛㼥㼍㻘㻌㻶㼍㼜㼍㼚㻘㻌㻞㻤㻝㻙㻞㻤㻠㻘㻌㻞㻜㻝㻣㻚㻡㻸㻚㻌 㻹㼛㼥㼍㻘㻌 㻱㻚㻌 㻹㼍㼟㻘㻌 㻲㻚㻌 㼅㼍㼙㼍㼦㼍㼗㼕㻘㻌 㼃㻚㻌 㻸㼕㼡㻘㻌 㻿㻚㻌 㻷㼛㼟㼔㼕㼙㼡㼞㼍㻘㻌 㻰㼑㼎㼞㼕㼟㻌 㻿㼏㼍㼠㼠㼑㼞㼕㼚㼓㻌 㻭㼟㼟㼑㼟㼟㼙㼑㼚㼠㻌 㼒㼞㼛㼙㻌 㻸㼕㼐㼍㼞㻌 㼐㼍㼠㼍㻘㻌 㻝㻢㼠㼔㻌㻵㼚㼠㼑㼞㼚㼍㼠㼕㼛㼚㼍㼘㻌 㻿㼥㼙㼜㼛㼟㼕㼡㼙㻌 㼛㼚㻌 㻺㼑㼣㻌 㼀㼑㼏㼔㼚㼛㼘㼛㼓㼕㼑㼟㻌 㼒㼛㼞㻌 㼁㼞㼎㼍㼚㻌 㻿㼍㼒㼑㼠㼥㻌 㼛㼒㻌 㻹㼑㼓㼍㻌 㻯㼕㼠㼕㼑㼟㻌 㼕㼚㻌 㻭㼟㼕㼍㻌 㻔㼁㻿㻹㻯㻭㻕㻘㻌 㻿㼑㼚㼐㼍㼕㻘㻌㻶㼍㼜㼍㼚㻘㻌㻞㻜㻝㻣㻚㻝㻝― 53 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌㻞㻜㻝㻣㻌
䛆CJ17-12䛇 P2017-3
ᆅୖ䝺䞊䝄 㔞䛚䜘䜃SfMከどⅬ෗┿ 㔞䛻䜘䜛᳃ᯘෆ㒊䛾ᆅᙧ䞉᳜⏕ᙧ≧ィ ᡭἲ䛾☜❧Development of a methodology for topographic measurement in forests using terrestrial laser scanningand SfM-MVS photogrammetry௦⾲⪅䠖᪩ᕝ⿱ᘤ䠄ᮾி኱Ꮫ✵㛫᝟ሗ⛉Ꮫ◊✲䝉䞁䝍䞊䠅Yuichi S. Hayakawa (Center for Spatial Information Science, The University of Tokyo)ඹྠ◊✲⪅䠖ຍ⸨ 㢧䠄༓ⴥ኱Ꮫ䠅䞉ᑠⰼ࿴ᏹஅ䠄䝡䝆䝵䞁䝔䝑䜽䠅䞉୰⏣ᗣ㝯䠄ᮾி኱Ꮫ䠅䞉ᑠ಴ᣅ㑻䠄ᮾி኱Ꮫ䠅䛆せ᪨䛇 㻌 ᮏ◊✲䛷䛿䚸᳃ᯘෆ䛻䛚䛡䜛ᶞᮌ䛾఩⨨䜔ᙧ≧䚸ᆅ⾲㠃ᙧ≧䜢ᑐ㇟䛸䛧䚸ᆅୖ䝺䞊䝄 㔞䠄TLS䠅䛸SfM䠄Structure from
Motion䠅ከどⅬ䝇䝔䝺䜸෗┿ 㔞䛸䛔䛳䛯ィ ᡭἲ䜢㐺⏝䛧䛶䚸ຠ⋡ⓗ䛺ィ 䞉ゎᯒᡭἲ䜢☜❧䛩䜛䛣䛸䜢┠ⓗ䛸䛩䜛䚹㻌 ᮏᖺᗘ䛿䚸䛸䛟䛻↓ே⯟✵ᶵ䜢ά⏝䛧䛯3Dィ 䝕䞊䝍䛾᳃ᯘⅆ⅏䜔ᅵ◁⅏ᐖ䛺䛹䜢ྵ䜐⮬↛⅏ᐖ⟶⌮䛻㛵䛩䜛䝺䝡䝳䞊䜢⾜䛔䚸ㄽᩥ䛸䛧䛶ฟ∧䛧䛯䚹䜎䛯䚸ᐇ㝿䛾ᩳ㠃ᔂቯ䜔ᅵ▼ὶ䚸ᒣయᔂቯ䚸䛭䜜䛻䛸䜒䛺䛖᳜⏕ኚ໬䛺䛹䚸ᛂ⏝ⓗ䛺◊✲䜒⾜䛳䛯䚹䛥䜙䛻䚸ィ 䝕䞊䝍䛾ά⏝䜔GIS䛸䛾㐃ᦠ䛸䛔䛳䛯㠃䛻╔┠䛧䛯◊✲⪅ྥ䛡䝅䞁䝫䝆䜴䝮䞉䝽䞊䜽䝅䝵䝑䝥䜢ᐇ᪋䛧䚸ᙜヱศ㔝䛻䛚䛡䜛ඛ➃ⓗ䛺◊✲䜢⾜䛳䛶䛔䜛◊✲⪅䜢ᣍᚅ䛩䜛䛸䛸䜒䛻䚸୍⯡䚸䛸䛟䛻ᑠᏛ⏕䛺䛹䜢ᑐ㇟䛸䛧䛯䜰䜴䝖䝸䞊䝏䞉ᩍ⫱ⓗά⏝䛸䛧䛶䛾ヨ䜏䜒䝽䞊䜽䝅䝵䝑䝥䛸䛧䛶ᐇ᪋䛧䛯䚹䛆Abstract䛇The purpose of this study is to develop an efficient method to utilize high-definition topographic data by lidar or SfMphotogrammetry for applications in forestry and geomorphology. In this fiscal year, we reviewed the use of RPAS on
natural disaster management including wildfires and sediment disasters. We carried out applications of the methods for
slope failures, debris flows, mountain sector collapse, and associated vegetation change. We also hosted symposiums
and workshops for researchers focusing on the use of high-definition data concerning GIS, inviting an outstanding
researcher as the keynote speaker. Also, as an outreach and educational approaches, we held workshops for primaryschool students regarding the use of the 3D data.

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㻌 ㏆ᖺ䛾ィ ᢏ⾡䛾㐍ᒎ䛻䜘䜚䚸ᆅୖ䛻䛚䛡䜛ᑐ㇟≀䛾ᙧ≧䛻㛵䛧䛶㧗ゎീᗘ䛾3ḟඖ䝕䞊䝍䛜ẚ㍑ⓗᐜ᫆䛻ྲྀᚓ䛷䛝䜛䜘䛖䛻䛺䛳䛶䛝䛯䚹䛭䛾 㔞ᢏ⾡䛾㐺⏝ྍ⬟ᛶ䛿䚸ᆅᙧᏛ䜔㎰Ꮫ䚸᳃ᯘ⛉Ꮫ䛾ศ㔝䛻䛚䛔䛶ᗈ䜎䜚䛴䛴䛒䜛䜒䛾䛾䚸䜎䛰඘ศ䛻᳨ド䛥䜜䛯ẁ㝵䛻䛿⮳䛳䛶䛔䛺䛔䛸⪃䛘䜙䜜䜛䚹䛭䛣䛷ᮏ◊✲䛷䛿䚸ᆅୖ䝧䞊䝇䛻⾜䛖᭱᪂䛾ィ ᢏ⾡䛷䛒䜛ᆅୖ䝺䞊䝄 㔞䛚䜘䜃SfMከどⅬ䝇䝔䝺䜸෗┿ 㔞䚸䜎䛯360ᗘ䜹䝯䝷䛻䜘䜛䝟䝜䝷䝬⏬ീ䛾ྲྀᚓ䜢䚸᳃ᯘෆ䛾ᶞᮌ䜔ᆅᙧ䜢ᑐ㇟䛻ᐇ᪋䛧䚸䛭䜜䜙䛾ຠ⋡ⓗ䛺ィ ᡭἲ䛛䜙ゎᯒᡭἲ䜎䛷䛾୍㐃䛾䝥䝻䝖䝁䝹䜢☜❧䛩䜛䛣䛸䜢┠ⓗ䛸䛧䚸䛭䛾ヨ㦂ⓗ䛺ィ 䛸ゎᯒ䜢ᐇ᪋䛩䜛䚹䠄䠍䠅↓ே⯟✵ᶵ䜢ά⏝䛧䛯3Dィ 䝕䞊䝍䛾᳃ᯘⅆ⅏䜔ᅵ◁⅏ᐖ䛺䛹䜢ྵ䜐⮬↛⅏ᐖ⟶⌮䛻㛵䛩䜛䝺䝡䝳䞊ㄽᩥ䜢ฟ∧䛧䜎䛧䛯䠄ᅗ1䠅䚹㻌 ᩳ㠃⅏ᐖ䚸ᆅ㟈⅏ᐖ䜔᳃ᯘⅆ⅏䛺䛹䛾⮬↛⅏ᐖ䛻䛚䛡䜛฼ά⏝䜢䜎䛸䜑䛶䛔䜎䛩䚹䛯䛰䛧䚸ᐇົⓗ䛺ᛂ⏝஦౛䛿ከ䛟䜏䛛䛡䜙䜜䜛䜒䛾䛾䚸Ꮫ⾡ⓗ䛺◊✲ᡂᯝ䛸䛧䛶䛿䜎䛰ฟ∧ᩘ䛿ከ䛟䛺䛔䛸䜒ぢཷ䛡䜙䜜䚸௒ᚋ䛾䛥䜙䛺䜛Ⓨᒎ䛜ᮇᚅ䛥䜜䜎䛩䚹䠄䠎䠅㛤Ⓨ䛧䛯ᡭἲ䜢⏝䛔䛶䚸ᐇ㝿䛻⏕䛨䛯ᩳ㠃ᔂቯ䜔ᅵ▼ὶ䚸ᒣయᔂቯ䚸Ἑᗋሁ✚≀䛾ᆅᙧィ 䛸䚸䛭䜜䛻䛸䜒䛺䛖᳜⏕ኚ໬䛺䛹䜒ど㔝䛻ධ䜜䛶䚸ᛂ⏝ⓗ䛺⌧ሙ㐺⏝䜢⾜䛔䜎䛧䛯䚹ᆅᙧ䞉᳜⏕ኚ໬䛾ᢳฟ䜔䚸䛭䛾ᙧែⓗ≉ᚩ䛻䛴䛔䛶䛾ศᯒ䜢㐍䜑䛶䛔䜎䛩䠄ᅗ2䠅䚹

ᅗ1 ↓ே⯟✵ᶵ䛾ά⏝䛻㛵䛩䜛䝺䝡䝳䞊ㄽᩥ䠄䠏䠅ィ 䛧䛯3ḟඖ䝕䞊䝍䛾ά⏝䜔GIS䛸䛾㐃ᦠ䛸䛔䛳䛯㠃䛻╔┠䛧䛶䚸◊✲⪅ྥ䛡䝅䞁䝫䝆䜴䝮䞉䝽䞊䜽䝅䝵䝑䝥䜢ᐇ᪋䛧䜎䛧䛯䚹䜎䛯䚸୍⯡ྥ䛡䛻䚸ᑠᏛ⏕䛺䛹䜢ᑐ㇟䛸䛧䛯䜰䜴䝖䝸䞊䝏䞉ᩍ⫱ⓗά⏝䛸䛧䛶䛾ヨ䜏䜒䝽䞊䜽䝅䝵䝑䝥䛸䛧䛶ᐇ᪋䛧䜎䛧䛯䚹ᅗ2 Ἑᗋሁ✚≀䛸᳜⏕䛾2015ᖺ䛛䜙2018ᖺ䛾ኚ໬

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㻌 㛤Ⓨ䛧䛯ᡭἲ䜔䝺䝡䝳䞊ㄽᩥ䛸䛧䛶䛾ᡂᯝ䛿䚸ᆅᙧᏛ䚸᳃ᯘ⛉Ꮫ䛾ㅖศ㔝䛻䛚䛔䛶䜒ᘬ⏝䛥䜜䚸ᛂ⏝䛜㐍䜑䜙䜜䜛䛣䛸䛜ᮇᚅ䛥䜜䛶䛔䜎䛩䚹䠷୺せㄽᩥ䠹
Giordan, D., Hayakawa, Y., Nex, F., Remondino, F., Tarollil, P. (2018.04) Review article: The use of Remotely Piloted Aircraft
Systems (RPAS) for natural hazards monitoring and management. Natural Hazards and Earth System Sciences, 18, 10791096. doi:10.5194/nhess-18-1079-2018 䜋䛛― 54 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-13䛇 SP2017-3
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅䝗䝻䞊䞁䜢ά⏝䛧䛯㏆᥋䝸䝰䞊䝖䝉䞁䝅䞁䜾㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Proximity remote sensing utilizing drone䠄◊✲௦⾲⪅ྡ䠅 Ώ㑔㻌 ㄔ㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 䠄ឡ▱┴❧୕㇂Ỉ⏘㧗➼Ꮫᰯ䞉᝟ሗ㏻ಙ⛉䠅
Makoto Watanabe 㻌 䠄Aichi Prefectural Miya Fisheries High School䞉
Department of Information and Communications 䠅䛆せ᪨䛇 㻌 ᮏ◊✲䛷䛿䚸‴ෆ䛻䛚䛡䜛⸴ሙ䜔䜰䝬䝰ሙ䛾㠃✚䜔᳜⏕䛾άᛶᗘNDVI䠄Normalized Difference Vegetation
Index䠅䛾ྲྀᚓ䜢⾜䛖䛯䜑䚸㏆ᖺ㎰ᴗศ㔝䛾Ỉ✄䝰䝙䝍䝸䞁䜾䛺䛹䛷฼⏝䛥䜜䛶䛔䜛䝸䝰䞊䝖䝉䞁䝅䞁䜾ᢏ⾡䜢ά⏝䛧䚸⸴ሙ䜔䜰䝬䝰ሙ䛾ィ 䜢☜❧䛩䜛䛣䛸䜢┠ⓗ䛸䛩䜛䚹ᮏሗ࿌䛻䛚䛔䛶䛿䚸୕Ἑ‴䠄ឡ▱┴ⵦ㒆ᕷ䠅䜢୺せᑐ㇟ᆅ䛸䛧䚸୺䛻QGIS䛸Photoscan䜢⏝䛔䚸Phantom4pro䛚䜘䜃㉥እ⥺䜹䝯䝷䛾✵᧜⏬ീ䛛䜙⸴ሙ䞉䜰䝬䝰ሙ䛾≧ែ䜢᫂䜙䛛䛻䛩䜛䜎䛷䛾㏵୰⤒㐣䜢ሗ࿌䛩䜛䚹ᑗ᮶ⓗ䛻䛣䛾◊✲䜢㐍䜑䜛䛣䛸䛷䚸‴ෆ䛾⸴ሙ䞉䜰䝬䝰ሙ䛾✵᧜⏬ീ䛸䜽䝻䝻䝣䜱䝹䛸䛾┦㛵㛵ಀ䜢᫂䜙䛛䛻䛧䚸‴ෆ䛻䛚䛡䜛⎔ቃᝏ໬䛾ᨵၿ⟇䛾⣒ཱྀ䛻䛺䜛䛣䛸䛜ᮇᚅ䛥䜜䜛䚹
䛆Abstract䛇 In this research, in order to acquire the area of algae and Amamo field and vegetation activity NDVI(Normalized Difference Vegetation Index) in the bay, utilizing the remote sensing technology used recently in paddy
rice monitoring etc. in agriculture field, It aims to establish measurement of seaweed bed and amamo field. In thisreport, Mikawa Bay (Gamagori City, Aichi Prefecture) is the main target area, mainly using QGIS and Photoscan, andon the way from the aerial photographs of Phantom 4 pro and infrared cameras to clarify the condition of seaweed
bed · Amamo field Report the progress. By conducting this research in the future, it is expected to clarify thecorrelation between the aerial photographs of the algae field and Amamo field in the bay and chlorophyll, and to
become a clue to measures to improve.

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ᡂᯝ

䠏

㻌 ᾏὒㄪᰝ䜢┠ⓗ䛸䛧䛯ᾏὒ䝸䝰䞊䝖䝉䞁䝅䞁䜾䛿䚸ேᕤ⾨ᫍ䜢฼⏝䛧᪤䛻ᐇ᪋䛥䜜䛶䛔䜛䚹䛧䛛䛧䚸ேᕤ⾨ᫍ䛷䛿ᤊ䛘䜛䛣䛸䛜䛷䛝䛺䛔ヲ⣽䛺‴ෆ䛾䝕䞊䝍䜢䚸UAV䠄↓ே⯟✵ᶵ䠅䜢฼⏝䛧䛯ᾏὒ䝸䝰䞊䝖䝉䞁䝅䞁䜾䛻䜘䜛ᾏὒㄪᰝ䜢㛤ጞ䛧䛯䛣䛸䛜ᮏ◊✲䛾⫼ᬒ䛸䛧䛶䛒䜛䚹ᮏ◊✲䛾┠ⓗ䛿䚸UAV䜢౑⏝䛧䚸✵䛛䜙᧜ᙳ䛧䛯⏬
ീ䠄ྍど⏬ീ䚸㏆㉥እ⏬ീ䠅䛛䜙‴ෆ䛾⸴ሙ䞉䜰䝬䝰ሙ䛾㠃✚䜔᳜⏕䛾άᛶᗘNDVI䜢⥅⥆ⓗ䛻ゎᯒ䛧䚸‴ෆ䛾ἢᓊᇦ䛾⎔ቃ䞉⏕ែ⣔ಖ඲䛻ᙺ❧䛶䜛䛣䛸䛷䛒䜛䚹⸴ሙ䛾✵᧜⏬ീ䛛䜙㠃✚䜢ゎᯒ䛩䜛䛯䜑䛻䚸䝞䞁䝗ᘧNDVI䠙(NIR – R)/(NIR+ R)䜢฼⏝䛧䚸NIR䛻ྍど⏬ീ䛾⥳Ⰽ㡿ᇦ䚸R䛻ྍど⏬ീ䛾㉥Ⰽ㡿ᇦ䜢ኚᩘ䛻௦ධ䛧䚸⸴ሙ䛜ᫎ䜛ᾏ㠃䜢✵᧜䛧䛯⏬ീ䛛䜙QGIS䜢౑⏝䛧䚸⸴ሙ䜔䜰䝬䝰ሙ䛾㠃✚䜢ゎᯒ䛩䜛䛣䛸䜢ᐇ᪋䛧䛯䚹ᮏᖺ䛾୺䛺◊✲ᡂᯝ䛿௨ୗ䛾Ⅼ䛻㞟⣙䛥䜜䜛䚹
㻌 ‴ෆ䛾ἢᓊᇦ௜㏆䛻⏕ᜥ䛩䜛⸴ሙ䞉䜰䝬䝰ሙ䜢✵᧜⏬ീ䜢」ᩘᯛ᧜ᙳ䛧䚸
Photoscan䛷䜸䝹䝋໬⏬ീ䛧䛯䠄ᅗ䠍䐟䠅䚹ḟ䛻QGIS䜢฼⏝䛧䚸⸴ሙ䞉䜰䝬䝰ሙ䜢ᢳฟ䛩䜛䛯䜑䚸䜸䝹䝋⏬ീ䛾ྍど⏬ീ䛾㉥Ⰽ㡿ᇦ䚸⥳Ⰽ㡿ᇦ䛾2䛴䛾ኚ䐟䜸䝹䝋⏬ീ
ᩘ䜢⏝䛔䛶᳜⏕䛾άᛶᗘ䜢ồ䜑䜛NDVI=(NIR – R) / (NIR+ R)䛾䝞䞁䝗ᘧ䜢
฼⏝䛧NIR䛻ྍど⏬ീ䛾⥳Ⰽ㡿ᇦ䚸R䛻ྍど⏬ീ䛾㉥Ⰽ㡿ᇦ䜢ኚᩘ䛻௦ධ䛩䜛䛣䛸䛷⸴ሙ䛾㡿ᇦ䜢ᢳฟ䛧䜹䝷䞊䝬䝑䝥RdYlGn䛷ᩘ್໬䛧䛯 䠄ᅗ䠍䐠䠅䚹᭦䛻䜹䝷䞊䝬䝑䝥RdYlGn䛷ᩘ್໬䛥䜜䛯⸴ሙ䛾್䜢ᣢ䛴䝢䜽䝉䝹䠄⥳䠅䛾䜏䜢䐠 NDVIᘧ䛷ᢳฟ䛩䜛䛯䜑䠎್໬䠄ᅗ䠍䐡䠅䠅䛧䛯䛾䛱䝫䝸䝂䞁໬䠄ᅗ䠍䐢䠅䛧䛯䚹ྛ䝫䝸䝂䞁䛾㻌 㻌 ᩘ್໬
ᒓᛶ䝔䞊䝤䝹䛾್䜢Excel䛷ྜィ䛧㠃✚䜢ồ䜑䜛䛣䛸䛜䛷䛝䛯䚹⤖ᯝ䜘䜚⸴ሙ
2䛾㠃✚䛿258.03m 䛸䛺䜚䚸⸴ሙ䞉䜰䝬䝰ሙ䛾㠃✚䜢QGIS䛛䜙ᐜ᫆䛻㠃
2✚䜢⟬ฟ䛷䛝䜛䛣䛸䜢ྍ⬟䛸䛧䛯䚹䝫䝸䝂䞁໬䛧䛯඲㠃✚䛿500.89m 䛷䛒䜚䐡 䠎್໬ィ⟬⤖ᯝ䜘䜚䚸䝫䝸䝂䞁໬䛧䛯㯤Ⰽ䛔㠃✚ 䠄ᅗ䠍䐢䠅䛾䛖䛱51.51%䛜⸴ሙ䛷䛒䜛䛣䛸䛜⤖ᯝ䜘䜚ゎᯒ䛷䛝䛯䚹䛣䛾◊✲䛛䜙䚸⸴ሙ䛾✵᧜⏬ീ䛛䜙⸴ሙ䛾㠃✚䛜ྲྀᚓྍ⬟䛷䛒䜛䛣䛸䛜ศ䛛䛳䛯䚹䛣䛾ゎᯒ᪉ἲ䜢ά⏝䛧ᖺ㛫䜢㏻䛧䛶⥅⥆ⓗ䛻ㄪᰝ䛩䜛䛣䛸䛷䚸⸴ሙ䛾ቑῶሙᡤ䛜≉ᐃྍ⬟䛻䛺䜛䚹௒䜎䛷䛿䚸ᐇ 䜔G䐢䝫䝸䝂䞁໬
PSィ ᶵ䛛䜙㊥㞳䜢 㔞䛧䛯㠃✚䛾⟬ฟ䜢⾜䛳䛶䛔䛯䛜䚸✵᧜⏬ീ䜢QGIS䛾ᆅ⌮᝟ሗ䝅䝇䝔䝮䜢฼⏝䛩䜛䛣䛸䛷䚸⸴ሙ䞉䜰䝬䝰ሙ䛾㠃✚ィ⟬䛜ᐜ᫆䛸䛺䜛䚹䜰䝬䝰ሙ䛾㠃✚䛾ῶᑡ䛻䛴䛔䛶䛿䚸䜴䝙䛺䛹䛻䜘䜛☾↝䛡䛺䛹䛜ᣲ䛢䜙䜜䜛䛜䚸Ꮨ⠇ⓗ䛺 ኟ䛾ᬬ䛟䛶ᡂ㛗䛻㐺䛥䛺䛔Ꮨ⠇䛿䚸ⴥ䜢ᯤ䜙䛧⛅䛻᪂䛯䛺ⴥ
䠭GIS䛾ᆅ⌮᝟ሗ䝅䝇䝔䝮䛜ฟ䜛䛯䜑䚸㛗ᮇⓗ䛺䝸䝰䞊䝖䝉䞁䝅䞁䜾ほ 䜢ᚲせ䛸䛩䜛䚹ḟ䛾ẁ㝵䛸䛧䛶䜢฼⏝䛩䜛䛣䛸䛷䜰䝬䝰ሙ
ᅗ1
UAV䛻䝬䝹䝏䝇䝨䜽䝖䝹䜹䝯䝷䜢ᦚ㍕䛧䚸ᆅ≀䛾≉ᚩ䝕䞊䝍䜢ᩍᖌ䛸䛧䛶ศ㢮㠃✚⟬ฟ䛜ྍ⬟䛸䛺䜛䛩䜛ᩍᖌ௜䛝ศ㢮䛾ᡭἲ䜢฼⏝䛧䚸ἢᓊ⸴ሙ䛾⸴ሙ䞉䜰䝬䝰ሙ䛺䛹䚸ヲ⣽䛺‴ෆἢᓊ䛾ᩍᖌ௜䛝ศ㢮⏬ീศ㢮ฎ⌮䜢⾜䛔⁺ሙ㛵ಀ⪅䜈䛾᝟ሗᥦ౪䜢ྍ⬟䛻䛩䜛䚹ㄽᩥ䞉Ꮫ఍Ⓨ⾲ᡂᯝᒎ㛤䛾 䞉䛂䝬䝹䝏䝁䝥䝍䞊䛃䛾◊✲䜢㏻䛧䛯ேᮦ⫱ᡂ䛾ྲྀ䜚⤌䜏㻌 ᖹᡂ䠎䠔ᖺᗘ ඲ᅜ㧗➼ᏛᰯỈ⏘ᩍ⫱◊✲఍Ꮫ⾡◊✲ዡບㄽᩥ
≧ἣ䞉ᖹᡂ30ᖺᗘ᪥ᮏỈ⏘Ꮫ఍᫓Ꮨ኱఍㻌 㧗ᰯ⏕䝫䝇䝍䞊Ⓨ⾲― 55 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-14䛇P2017-1
㻌 䝺䞊䝄䞊ㄏ㉳䝤䝺䞊䜽䝎䜴䞁ศගἲ䜢⏝䛔䛯኱Ẽ୰䜶䜰䝻䝌䝹䛾䝸䝰䞊䝖ᡂศศᯒᡭἲ䛾㛤Ⓨ
㻌 Development of㻌 remote detection and identification of atmospheric aerosols using laser induced
㻌 breakdown spectroscopy䠄◊✲௦⾲⪅ྡ䠅 ᰁᕝ㻌 ᬛᘯ㻌 䠄බ┈㈈ᅋἲே䝺䞊䝄䞊ᢏ⾡⥲ྜ◊✲ᡤ䠅Toshihiro Somekawa 㻌 䠄Institute for Laser Technology 䠅䛆せ᪨䛇㕲䚸ள㖄䚸㖄䛺䛹䛾㔠ᒓඖ⣲䜢ྵ䜐䜶䜰䝻䝌䝹䛿㒔ᕷ኱Ẽ୰䛷ẚ㍑ⓗከᩘぢ䛴䛛䛳䛶䛔䜛䚹䛣䜜䜙䛜኱㔞䛻ே䛾యෆ䛻ධ䜚㎸䜣䛰㝿䛻䛿䚸䜰䝺䝹䜼䞊䛾ᝏ໬䜢ᣍ䛟䛺䛹䚸೺ᗣ⿕ᐖ䛜ሗ࿌䛥䜜䛶䛔䜛䛯䜑䚸኱Ẽ୰䛾㔠ᒓ䜶䜰䝻䝌䝹䜢䝸䝰䞊䝖䛷㆑ู䛩䜛䝺䞊䝄䞊ㄏ㉳䝤䝺䞊䜽䝎䜴䞁ศගἲ䠄LIBS䠅䛾㛤Ⓨ䜢㛤ጞ䛧䛯䚹䝸䝰䞊䝖ィ 䛷䛿᳨ฟឤᗘ䛾పୗ䛜ண᝿䛥䜜䛯䛯䜑䛻䚸೫ගᏊ䜢⏝䛔䛯᪂䛧䛔䝣䜵䝮䝖⛊䝺䞊䝄䞊䜢⏝䛔䛯䝎䝤䝹䝟䝹䝇ගᏛ⣔䜢ᥦ᱌䛧䛯䚹ᮏගᏛ㓄⨨䛷䛿䚸ᚑ᮶ᡭἲ䛸ẚ䜉䛶䝺䞊䝄䞊ฟຊ䛾฼⏝ຠ⋡䛜2ಸ䛷䛒䜚䚸50 ps⛬ᗘ䛾䝟䝹䝇㛫㐜ᘏ䜢ຍ䛘䜛䛰䛡䛷䚸LIBSಙྕᙉᗘ䜢3䡚5ಸቑຍ䛥䛫䜛䛣䛸䛻ᡂຌ䛧䛯䚹䛆Abstract䛇 Femtosecond laser pulses are an attractive tool for remote laser induced breakdown spectroscopy (LIBS)
since no focusing optics are required to induce plasma formation. This femtosecond LIBS allows us toperform the remote detection and identification of the atmospheric aerosols containing metallic
components such as iron, zinc, and lead. We demonstrated enhancement in LIBS intensity of about 5
times with a double-pulse configuration using two polarizers. This enhanced LIBS signals may open a
new way of remote LIBS experiments.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

㕲䚸ள㖄䚸㖄䛺䛹䛾㔠ᒓඖ⣲䜢ྵ䜐䜶䜰䝻䝌䝹䛿㒔ᕷ኱Ẽ୰䛷ẚ㍑ⓗከᩘぢ䛴䛛䛳䛶䛚䜚䚸䛣䜜䜙䛜኱㔞䛻ே䛾యෆ䛻ධ䜚㎸䜣䛰㝿䛻䛿䚸䜰䝺䝹䜼䞊䛾ᝏ໬䜢ᣍ䛟䛺䛹䚸೺ᗣ⿕ᐖ䛜ሗ࿌䛥䜜䛶䛔䜛䚹౛䛘䜀䚸3䡚5᭶䛻䛛䛡䛶᪥ᮏ䛻ከᩘᅇ㣕᮶䛩䜛㯤◁䛿䚸㎰స≀䛺䛹䜈䛾◁ሻ⿕ᐖ䛰䛡䛷䛺䛟䚸㍺㏦㏵୰䛷ேⅭ㉳※䛾኱Ẽởᰁ≀㉁䛾௜╔䛜▱䜙䜜䛶䛚䜚䚸㉺ቃởᰁၥ㢟䛸䛧䛶᪂䛯䛺୍㠃䜒ぢ䛫䛶䛔䜛䚹㯤◁䛿䝺䞊䝄䞊䛾೫ග䜢฼⏝䛧䛯೫ග䝷䜲䝎䞊䛻䜘䛳䛶㣕᮶᝟ሗ䛾ᢕᥱ䛜ᐇ᪋䛥䜜䛶䛔䜛䛜䚸௜╔≀䛾ᡂศศᯒ䜎䛷䛿⾜䛘䛶䛔䛺䛔䚹䛭䛣䛷䚸኱Ẽ୰䛾㔠ᒓ䜶䜰䝻䝌䝹䜢䝸䝰䞊䝖䛷㆑ู䛩䜛䝺䞊䝄䞊ㄏ㉳䝤䝺䞊䜽䝎䜴䞁ศගἲ䠄LIBS䠅䛾㛤Ⓨ䜢㛤ጞ䛧䛯䚹
M

LIBS䛿䚸⿕ ᐃᑐ㇟≀㉁䛻▷䝟䝹䝇䝺䞊䝄䞊䜢↷ᑕ䛧䛶Ⓨ⏕䛧䛯䝥䝷䝈䝬䜢ศග ᐃ䛩䜛䛣䛸䛻䜘䛳䛶䚸䛭䛾ሙ䛷䝸䜰䝹䝍䜲䝮䛻≀㉁䛾ඖ⣲䛾ศᯒ䛜ྍ⬟䛺ᡭἲ䛷䛒䜛䚹MPolarizerM䠄䠍䠅2ᯛ䛾೫ගᏊ䜢⏝䛔䛯䝎䝤䝹䝟䝹䝇LIBSගᏛ⣔䜢㛤Ⓨ䛧䛯䠄ᅗ䠍䠅䚹ᚑ᮶䛾䝎䝤䝹䝟䝹䝇ගᏛ⣔䛷䛿䚸䝡䞊䝮䛾ศ㞳䞉⤖ྜ䛻䝝䞊䝣䝭䝷䞊䜢⏝䛔䜛䛯䜑䛻䚸⤖ྜຠ⋡䛜50%௨ୗ䛻䛺䜛䛜䚸ᮏගᏛ㓄⨨䛷䛿೫ග䛻䜘䛳䛶ศ㞳䞉⤖ྜ䜢ᐇ᪋䛩䜛䛯䜑䛻䚸⤖ྜ䛻䜘䜛䝻䝇䛜䛺䛟䚸䝺䞊䝄䞊䛾฼⏝ຠ⋡䛜Ⰻ䛔䝎䝤䝹䝟䝹䝇LIBSィ䛜ྍ⬟䛸䛺䜛䚹

Polarizer

MMMᅗ1 䝎䝤䝹䝟䝹䝇LIBSගᏛ㓄⨨ᅗ
6

Signal enhancement ratio5䠄䠎䠅䝎䝤䝹䝟䝹䝇LIBSἲ䛻䜘䜚䚸ಙྕቑᙉ䛻ᡂຌ䛧䛯䠄ᅗ2䠅䚹
ᅗ2䛻䝎䝤䝹䝟䝹䝇㛫㝸䛻䜘䜛LIBSಙྕቑᙉẚ䜢♧䛩䚹ಙྕቑᙉẚ䛿䝎䝤䝹䝟䝹䝇䛾ྜィฟຊ䛸➼䛧䛔䝅䞁䜾䝹䝟䝹䝇S೫ග䛾LIBSಙྕᙉᗘ䛸䛾ẚ䛷ホ౯䛧䛶䛔䜛䚹䝟䝹䝇㛫㐜ᘏ䛜䛺䛔0ps䛷䛿ቑຍ䛜ぢ䜙䜜䛺䛔䛜䚸䝟䝹䝇㛫㐜ᘏ䜢኱䛝䛟䛧䛶䛔䛟䛸༢ㄪ䛻ቑຍ䛧䚸䝟䝹䝇㛫㐜ᘏ50 ps䛷ቑᙉẚ䛿3䡚5ಸ䛷୍ᐃ䛸䛺䜛䚹䝣䜵䝮䝖⛊䝺䞊䝄䞊䛾䝟䝹䝇䜢ศ㞳䛧䚸௵ព䛾䝟䝹䝇㛫㐜ᘏ䜢ຍ䛘䛯䝎䝤䝹䝟䝹䝇䜢సᡂ䛩䜛䛰䛡䛷䚸ẚ㍑ⓗᐜ᫆䛻LIBSಙྕ䜢ቑᙉ䛥䛫䜛䛣䛸䛜ྍ⬟䛷䛒䜛䛣䛸䜢᫂䜙䛛䛻䛧䛯䚹

4
3

1
0
0



50
75
100
Interpulse delay (ps)



150

ᅗ2 䝎䝤䝹䝟䝹䝇㛫㝸䛻䜘䜛LIBSಙྕቑᙉẚ

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

㛤Ⓨ䛧䛯LIBSᢏ⾡䛿䚸ᚤ㔞ศᯒ䛾ศ㔝䛷ᗈ䛟ᬑཬ䛧䛶䛔䜛䚹ᮏ◊✲䛷䛿䚸LIBSἲ䜢⏝䛔䛶㒔ᕷ኱Ẽ䜶䜰䝻䝌䝹䛻ྵ䜎䜜䜛㕲䚸ள㖄䚸㖄䛺䛹䛾㔠ᒓඖ⣲䜢䝸䝰䞊䝖䛷ィ 䛩䜛䛯䜑䛻䚸䝸䝰䞊䝖䛷䛾LIBSἲ䛾ᛂ⏝ྍ⬟ᛶ䛾᳨ウ䜢㛤ጞ䛧䛯䚹䝸䝰䞊䝖ィ 䛷䛿᳨ฟឤᗘ䛾పୗ䛜ண᝿䛥䜜䛯䛯䜑䛻䚸䝣䜵䝮䝖⛊䝺䞊䝄䞊䜢⏝䛔䛯䝎䝤䝹䝟䝹䝇LIBS䛾೫ගᏊ䜢⏝䛔䛯᪂䛧䛔ගᏛ⣔䜢ᥦ᱌䛧䚸LIBSಙྕᙉᗘ䜢ቑຍ䛥䛫䜛䛣䛸䛻ᡂຌ䛧䛯䚹௒ᚋ䛿䚸㐲㝸䛷䛾䝣䜵䝮䝖⛊䝎䝤䝹䝟䝹䝇LIBSᐇ㦂䜢ᐇ᪋䛧䛯䛔䛸⪃䛘䛶䛔䜛䚹― 56 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-15䛇P2017-1
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅䠏ḟඖ䝕䞊䝍䜢⏝䛔䛯᳃ᯘ䝞䜲䜸䝬䝇㈨※䜶䝛䝹䜼䞊฼⏝ྍ⬟㔞᥎ᐃ㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Estimating available amounts of forest biomass resources for energy with 3D data䠄◊✲௦⾲⪅ྡ䠅 ᭷㈡㻌 ୍ᗈ㻌 䠄Ᏹ㒔ᐑ኱Ꮫ䞉㎰Ꮫ㒊䠅
Kazuhiro Aruga 㻌 䠄Utsunomiya University 䞉Faculty of Agriculture 䠅䛆せ᪨䛇᫖ᖺᗘ䛾◊✲䛷䛿㏻┤䛺䝇䜼䞉䝠䝜䜻䛾㔪ⴥᶞ䛸䛿␗䛺䜚䚸฼⏝ྍ⬟㔞᥎ᐃ䛜ᅔ㞴䛷䛒䜛ᗈⴥᶞ㈨※䛾฼⏝ྍ⬟㔞᥎ᐃᡭἲ䜢ᵓ⠏䛧䛯䚹ᮏᖺᗘ䛾◊✲䛷䛿Ᏹ㒔ᐑ኱Ꮫ㎰Ꮫ㒊㝃ᒓ⯪⏕₇⩦ᯘ䛻䛚䛔䛶䚸ప౯᱁䛾ᆅୖ䝺䞊䝄䝇䜻䝱䝘䜢⏝䛔䛶ᗈⴥᶞ䠎ḟᯘ䜢ィ 䛧䚸ᖿᮦ✚⟬ฟ⢭ᗘ䛻୚䛘䜛ᙳ㡪䜢᳨ウ䛧䛯䚹⬚㧗┤ᚄ䛾ㄗᕪ䛿䛣䜜䜎䛷䛾◊✲䛸ẚ㍑䛧䛶኱䛝䛛䛳䛯䛜䚸ᑐ㇟ᮌ䛛䜙㐲䛔ᆅୖ䝺䞊䝄ィ 䝕䞊䝍䜢㝖䛟䛣䛸䛻䜘䜚䚸᥎ᐃ⢭ᗘ䛿኱ᖜ䛻ྥୖ䛧䛯䚹ᶞ㧗䛾ㄗᕪ䛻㛵䛧䛶䜒䛣䜜䜎䛷䛾◊✲䛸ẚ㍑䛧䛶኱䛝䛟䚸඲యⓗ䛻㐣ᑠ᥎ᐃ䛷䛒䛳䛯䛜䚸ఆಽ㐀ᮦ䛧䚸ᖿᮦ✚䜢ィ 䛧䛯ᶞᮌ䛻㛵䛧䛶䛿䚸⬚㧗┤ᚄ䛸ᶞ㧗䛜ẚ㍑ⓗṇ☜䛻ィ 䛥䜜䛶䛔䛯䛯䜑䚸⬚㧗┤ᚄ䛸ᶞ㧗䜢⏝䛔䛶ᮦ✚⾲䛻䜘䜚᥎ᐃ䛧䛯ᖿᮦ✚䛿ᐇ ್䛻㏆䛛䛳䛯䚹䛆Abstract䛇 In the present study, a secondly broadleaved forest was measured using low cost portable TLS. Then,
DBH, height, top end diameters, log and stem volumes were analyzed and compared with measured
values. RMSE of DBH was higher than the existing studies, but RMSE estimated with only TLS data close
to measured trees become lower. RMSE of height was also higher than the existing studies, and treeheight was underestimated. DBH and height of felled trees to measure volumes were accurately
measured. Therefore, estimated tree volumes were close to measured values.

䠎
◊✲䛾
ᡂᯝ

◊✲௦⾲⪅䜙䛿䛣䜜䜎䛷䛻GIS䜢⏝䛔䛶⤒῭ᛶ䜢⪃៖䛧䛯㛗ᮇⓗ䛺᳃ᯘ䝞䜲䜸䝬䝇㈨※䛾䜶䝛䝹䜼䞊฼⏝ྍ⬟㔞䜢᥎ᐃ䛩䜛ᡭἲ䜢ᵓ⠏䛧䛶䛝䛯䚹䛧䛛䛧䛺䛜䜙䚸GIS䝕䞊䝍䛾⢭ᗘ䛿ప䛟䚸䝸䝰䞊䝖䝉䞁䝅䞁䜾䛺䛹䛾ᡭἲ䜢⏝䛔䛶䚸䜘䜚㧗⢭ᗘ䛻᳃ᯘ䝞䜲䜸䝬䝇㈨※䛾䜶䝛䝹䜼䞊฼⏝ྍ⬟㔞䜢᥎ᐃ䛩䜛䛣䛸䛜ồ䜑䜙䜜䛶䛔䜛䚹䛭䛣䛷ᮏ◊✲䛷䛿UAV-S䡂M䚸⯟ 䞉ᆅୖ䝺䞊䝄䛺䛹䛻䜘䜚ᗈᇦ䛛䛴ヲ⣽䛻᳃ᯘ㈨※䜢ィ 䛩䜛䛣䛸䛻䜘䜚䚸䛣䜜䜎䛷䜘䜚䜒㧗⢭ᗘ䛻᳃ᯘ䝞䜲䜸䝬䝇㈨※䛾䜶䝛䝹䜼䞊฼⏝ྍ⬟㔞䜢᥎ᐃ䛩䜛ᡭἲ䜢ᵓ⠏䛩䜛䚹ᮏᖺᗘ䛾◊✲䛷䛿Ᏹ㒔ᐑ኱Ꮫ㎰Ꮫ㒊㝃ᒓ⯪⏕₇⩦ᯘ䛻䛚䛔䛶䚸ప౯᱁䛾ᆅୖ䝺䞊䝄䝇䜻䝱䝘䜢⏝䛔䛶ᗈⴥᶞ䠎ḟᯘ䜢ィ 䛧䚸ᖿᮦ✚⟬ฟ⢭ᗘ䛻୚䛘䜛ᙳ㡪䜢᳨ウ䛧䛯䚹䠄䠍䠅ᆅୖ䝺䞊䝄䝇䜻䝱䝘䜢⏝䛔䛶䝩䜸䝜䜻䠐ᮏ䚸䜽䝸䠏ᮏ䚸䝲䝬䝄䜽䝷䠍ᮏ䚸䝁䝘䝷䠎ᮏ䚸䝅䝕䠎ᮏ䛾ィ12ᮏ䜢ィ 䛧䛯䚹⬚㧗┤ᚄ䛾஧஌ᖹᆒᖹ᪉᰿ㄗᕪRMSE䛿6.16cm䛸䚸䛣䜜䜎䛷䛾◊✲䠄㔪ⴥᶞ1.34cm䚸ᗈⴥᶞ1.91cm䠅
䛸ẚ㍑䛧䛶኱䛝䛛䛳䛯䚹䛣䜜䛿ᑐ㇟ᮌ䛛䜙㐲䛔ᆅୖ䝺䞊䝄䝕䞊䝍䛾䝜䜲䝈䛾䛯䜑䛷䛒䜚䚸ᑐ㇟ᮌ䛛䜙㐲䛔ᆅୖ䝺䞊䝄䝕䞊䝍䜢㝖䛟䛣䛸䛻䜘䜚䚸⬚㧗┤ᚄ
䛾RMSE䛿3.25cm䛸᥎ᐃ⢭ᗘ䛿኱ᖜ䛻ྥୖ䛧䛯䠄ᅗ䠍䠅䚹

50ᆅୖ䝺䞊䝄䠄cm䠅

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

ᅗ1 ⬚㧗┤ᚄ

40
30

䝩䜸䝜䜻
䜽䝸
䝲䝬䝄䜽䝷
䝁䝘䝷
䝅䝕

20
10
0

䠄䠏䠅䝩䜸䝜䜻䠍ᮏ䚸䝁䝘䝷䠍ᮏ䚸䝅䝕䠍ᮏ䛾ィ䠏ᮏ䜢ఆಽ㐀ᮦ䛧䚸ᖿᮦ✚䜢ィ䛧䛯䚹ᆅୖ䝺䞊䝄䝕䞊䝍䜢⏝䛔䛶༊ศồ✚ἲ䛸ᮦ✚⾲䛻䜘䜚ᖿᮦ✚䜢᥎ᐃ䛧䚸3ᐇ ್䛸ẚ㍑䛧䛯䛸䛣䜝䠄ᅗ䠏䠅䚸༊ศồ✚ἲ䛾RMSE䛿0.763m 䛸䚸䛣䜜䜎䛷
3
3䛾◊✲䠄㔪ⴥᶞ0.162m 䚸ᗈⴥᶞ0.065m 䠅䛸ẚ㍑䛧䛶኱䛝䛛䛳䛯䛜䚸ᮦ✚⾲
3䛻䜘䜛ᖿᮦ✚䛾RMSE䛿0.066m 䛸䛣䜜䜎䛷䛾◊✲䛸ྠ⛬ᗘ䛒䛳䛯䚹ప౯᱁䛾䝺䞊䝄䝇䜻䝱䝘䜢฼⏝䛩䜛ሙྜ䛿⬚㧗┤ᚄ䛸ᶞ㧗䜢ṇ☜䛻 ᐃ䛧䚸ᮦ✚⾲䛛䜙ᖿᮦ✚䜢⟬ฟ䛩䜛䜋䛖䛜ṇ☜䛻⟬ฟ䛷䛝䜛ሙྜ䛜䛒䜛䛣䛸䛜♧䛥䜜䛯䚹

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

ᆅୖ䝺䞊䝄䠄m䠅㻌

0

10

30
25
20
15
10
5
0

20 30 40ᐇ ್䠄cm䠅

50

ᅗ2 ᶞ㧗
࣍࢜ࣀ࢟
ࢡࣜ
࣐ࣖࢨࢡࣛ
ࢥࢼࣛࢩࢹ
0ᆅୖ䝺䞊䝄䠄m3䠅䠄䠎䠅ᶞ㧗䛻㛵䛧䛶䜒ᐇ ್䛸ẚ㍑䛧䛯䛸䛣䜝䚸RMSE䛿2.72m䛸䛣䜜䜎䛷䛾◊✲䠄㔪ⴥᶞ1.92m䚸ᗈⴥᶞ2.06m 䠅䛸ẚ㍑䛧䛶኱䛝䛛䛳䛯䠄ᅗ䠎䠅䚹䜎䛯䚸඲యⓗ䛻㐣ᑠ᥎ᐃ䛷䛒䛳䛯䚹䛣䜜䛿䝺䞊䝄䛜ᶞෙ䛻㐽䜙䜜䚸㡬➃䜎䛷฿㐩䛧䛶䛔䛺䛛䛳䛯䛣䛸䜔䚸㏫䛻ᗈⴥᶞ䛷ᶞᖿ䛜᭤䛜䛳䛶䛔䛯䛯䜑䛻ᐇ್䛜㐣኱䛻䛺䛳䛯䛣䛸䛺䛹䛜ཎᅉ䛸䛧䛶⪃䛘䜙䜜䜛䚹䛯䛰䛧䚸ᶞ㧗䛻㛵䛧䛶䛿ᑐ㇟ᮌ䛛䜙㐲䛔ᆅୖ䝺䞊䝄䝕䞊䝍䜒ྜᡂ䛧䛯䜋䛖䛜䚸᥎ᐃ⢭ᗘ䛿ྥୖ
䛧䛯䚹

1.6

5

10 15 20 25 30ᐇ ್䠄m䠅㻌

ᅗ3 ᖿᮦ✚

1.2
0.8
༊ศồ✚ἲ
ᮦ✚⾲

0.4
0
0

0.4 0.8 1.2
ᐇ ್䠄m3䠅

1.6

GIS䜢⏝䛔䛶᥎ᐃ䛧䛯᳃ᯘ䝞䜲䜸䝬䝇㈨※䛾䜶䝛䝹䜼䞊฼⏝ྍ⬟㔞䛿䚸ᰣᮌ┴䛻䛚䛡䜛᳃ᯘ䝞䜲䜸䝬䝇䛾䜶䝛䝹䜼䞊฼⏝ィ⏬䛻⏝䛔䜙䜜䜛䛸䛸䜒䛻䚸᥎ᐃᡭἲ䛿௚ᆅᇦ䛻䛚䛡䜛฼⏝ྍ⬟㔞᥎ᐃ䛾㝿䛻ཧ⪃䛸䛥䜜䛶䛔䜛䚹௒ᚋ䛿ᆅୖ䝺䞊䝄䝕䞊䝍䛻䛚䛡䜛㔪ⴥᶞ䚸ᗈⴥᶞ䛾ᶞᖿ䚸ᯞⴥ䛾⮬ືᢳฟᡭἲ䜢ᵓ⠏䛩䜛䛸䛸䜒䛻䚸UAV-S䡂M䚸⯟ 䝺䞊䝄䛸⼥ྜ䛩䜛䛣䛸䛻䜘䜚䚸䛣䜜䜎䛷䜘䜚䜒㧗⢭ᗘ䛷ᗈᇦ䛻᳃ᯘ䝞䜲䜸䝬䝇㈨※䛾䜶䝛䝹䜼䞊฼⏝ྍ⬟㔞䜢᥎ᐃ䛩䜛ᡭἲ䜢ᵓ⠏䛩䜛ணᐃ䛷䛒䜛䚹― 57 ―

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CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-17䛇P2017-3
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅ప䝁䝇䝖䝗䝻䞊䞁䜢ά⏝䛧䛯ᅵተ⫧Ỻᗘ䝬䝑䝥䛾సᡂ㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Drawing a map of soil fertility using low-cost drone䠄◊✲௦⾲⪅ྡ䠅 ᶓᇼ㻌 ₶㻌 䠄ᰴᘧ఍♫䝈䝁䞊䝅䝱䠅Jun㻌 Yokobori 㻌 䠄Zukosha㻌 Co., Ltd. 䠅䛆せ᪨䛇 㻌 ᭱㏆䚸Ᏻ౯䛺䝗䝻䞊䞁䛜ᕷ㈍䛥䜜䚸㎰ᴗศ㔝䛻䛚䛔䛶䜒᭷ຠά⏝䛜ᮇᚅ䛥䜜䛶䛔䜛䚹䛯䛰䛧䚸ᕷ㈍䛥䜜䛶䛔䜛䝗䝻䞊䞁䛿ྍどᇦ䛾䜹䝯䝷䛜ᦚ㍕䛥䜜䛶䛚䜚䚸స≀⏕⫱➼䚸㏆㉥እ䛾཯ᑕ䛜ᚲせ䛺⏝㏵䛻౑⏝䛩䜛䛣䛸䛿ᅔ㞴䛷䛒䜛䚹䛭䛣䛷䚸ᮏ◊✲䛾┠ⓗ䛿໭ᾏ㐨༑຾ᆅ᪉䜢ᑐ㇟䛻䚸ᕷ㈍໬䛥䜜䛶䛔䜛Ᏻ౯䛺䝗䝻䞊䞁䠄Phantom4pro䠅䜢⏝䛔䛶ྍど⏬ീ䛛䜙⏿ᆅ䛾ᅵተ⫧Ỻᗘ䛷䛒䜛⇕Ỉᢳฟᛶ❅⣲䛾ᢕᥱ䜢᳨ウ䛩䜛䛣䛸䛷䛒䜛䚹㻌 ᳨ウ䛾⤖ᯝ䚸⇕Ỉᢳฟᛶ❅⣲䛸㉥Ἴ㛗䛾㍤ᗘ್䛻䛿㧗䛔㈇䛾┦㛵㛵ಀ䛜䛒䜚䚸䛭䛾┦㛵ಀᩘ䛿䡎䠙-0.858䛷
䛒䛳䛯䚹

䛆Abstract䛇
Recently, low-cost drones have been on the market and is expected to be utilized in the agricultural field.
However, low-cost drones can acquire images in the visible range, but it is difficult to use for applications
requiring near infrared images such as crop growth. Therefore, the purpose of this research is to investigate
the soil nitrogen fertility (hot-water extractable nitrogen) in the upland field from the bare soil visible image
obtained from low-cost drone (Phantom 4 pro) in the Tokachi district of Hokkaido.
As a result, a negative correlation㻌 was recognized between red image data and hot-water extractable
nitrogen, and the magnitude of correlation coefficient was -0.858.

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᪉ἲ

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◊✲䛾
ᡂᯝ

㻌 䛆⫼ᬒ䛇᭱㏆䚸Ᏻ౯䛺䝗䝻䞊䞁䛜㈍኎䛥䜜䚸✵᧜䛜䜘䜚㌟㏆䛺䜒䛾䛻䛺䜚䚸㎰ᴗศ㔝䛻䛚䛔䛶䜒᭷ຠά⏝䛜ᮇᚅ䛥䜜䛶䛔䜛䚹䛯䛰䛧䚸Ᏻ౯䛺䝗䝻䞊䞁䛿䝟䝑䜿䞊䝆䛸䛧䛶ྍどᇦ䛾䜹䝯䝷䛜ᦚ㍕䛥䜜䛶䛔䜛䛰䛡䛷䚸స≀⏕⫱➼䚸㏆㉥እ䛾཯ᑕ䛜ᚲせ䛺⏝㏵䛻౑⏝䛩䜛䛣䛸䛿ᅔ㞴䛷䛒䜛䚹㻌 䛆┠ⓗ䛇Ᏻ౯䛺䝗䝻䞊䞁䜢⏝䛔䛶ྍど⏬ീ䛛䜙⏿ᆅ䛾ᅵተ⫧Ỻᗘᢕᥱ䛾ྍ⬟ᛶ䜢᳨ウ䛩䜛䛣䛸䛷䛒䜛䚹㻌 䛆᪉ἲ䛇኱つᶍ⏿స⤒Ⴀ䛜⾜䜟䜜䛶䛔䜛໭ᾏ㐨༑຾䜢ㄪᰝᑐ㇟䛸䛧䛯䚹ලయⓗ䛻䛿〄ᆅ᮲௳䛾⏿ᆅ䜢䚸ᕷ㈍໬䛥䜜䛶䛚䜚ྍど⏬ീ䛜᧜ᙳ䛷䛝䜛Phantom4pro(DJI♫〇)䜢฼⏝䛧䚸⏬ീ1ᯛ䛾⏿ᆅ䛜඲䛶ྵ䜎䜜䜛䜘䛖䛻ᩳ䜑䛛䜙᧜ᙳ䛧䛯䚹⏬ീ䛿ᑕᙳኚ᥮䛻䜘䜚ᗄఱ⿵ṇ䛧䚸㉥䚸⥳䚸㟷䛻Ⰽศゎ䛧䛯䚹᧜ᙳ䛧䛯⏿ᆅ䛻䛴䛔䛶䛿ᩘⅬ䛷ᅵተ䝃䞁䝥䝸䞁䜾䜢⾜䛔䚸䝃䞁䝥䝸䞁䜾ᆅⅬ䛾 ఩䛸❅⣲⫧Ỻᗘ䛾ᣦᶆ䛷䛒䜛⇕Ỉᢳฟᛶ❅⣲䜢ศᯒ䛧䛯䚹௨ୖ䛾⤖ᯝ䛻ᇶ䛵䛝䚸Ⰽศゎ䛧䛯⏬ീ䝕䞊䝍䛸⇕Ỉᢳฟᛶ❅⣲䛾㛵ಀ䛛䜙䚸ᅵተ⫧Ỻᗘᢕᥱ䛾ྍ⬟ᛶ䜢᳨ウ䛧䛯䚹䠄䠍䠅2017ᖺ9᭶29᪥䛻⏿ᆅᅵተ䜢᧜ᙳ䛧䛯䝗䝻䞊䞁⏬ീ䛾㉥䚸⥳䚸㟷䛻Ⰽศゎ䛧䛯್䛸⇕Ỉᢳฟᛶ❅⣲䛾㛵ಀ䜢᳨ウ䛧䛯䠄ᅗ䠍䠅䚹ྛἼ㛗ᖏ䛾㍤ᗘ್䛸⇕Ỉᢳฟᛶ❅⣲䛾㛫䛻䛿
5%Ỉ‽䛷㈇䛾┦㛵㛵ಀ䛜䛒䛳䛯䚹䜎䛯䛭䛾୰䛷䜒䚸㉥Ἴ㛗䛾㍤ᗘ್䛜᭱䜒㧗䛔┦㛵ಀᩘ䜢♧䛧䚸䛭䛾┦㛵ಀᩘ䛿䡎䠙-0.858䚸
RMSE䛿0.35mg/100g䛷䛒䛳䛯䚹䠄䠎䠅ᅗ1䛻♧䛩ᅇᖐᘧ䛻ᇶ䛵䛝ᑐ㇟ᅡሙ䛾ᅗ1⇕Ỉᢳฟᛶ❅⣲䝬䝑䝥䜢సᡂ䛧䛯䠄ᅗ2䠅䚹໭ᾏ㐨䛻䛚䛔䛶䛿❅⣲⫧Ỻᗘ䛾ホ౯䛻⇕Ỉᢳฟᛶ❅⣲䛜฼⏝䛥䜜䛶䛚䜚䚸䝔䞁䝃䜲䚸㤿㕥⸉䚸䝕䞁䝖䝁䞊䞁➼䛾⏿స≀䛻䛚䛔䛶䚸⇕Ỉᢳฟᛶ❅⣲䛻ᇶ䛵䛟❅⣲᪋⫧ᑐᛂ᪉ἲ䛜♧䛥䜜䛶䛔䜛䚹䛣䜜䛻䜘䜚ᅡሙෆ䛾❅⣲⫧Ỻᗘ䜢⪃៖䛧䛯ྍኚ᪋⫧䛜ྍ⬟䛸䛺䛳䛯䚹

ᅗ2

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

䝗䝻䞊䞁⏬ീ䛾ྛἼ㛗ᖏ䛸⇕Ỉᢳฟᛶ❅⣲䛾㛵ಀ⇕Ỉᢳฟᛶ❅⣲䝬䝑䝥

㛤Ⓨ䛧䛯ᡭἲ䛿䚸໭ᾏ㐨༑຾䞉䜸䝩䞊䝒䜽ᆅ᪉䛾⏿స㎰ᐙ䜢୰ᚰ䛻180ha⛬ᗘᬑཬ䛧䚸2018ᖺ᫓䛻䛿ᐇ㝿䝬䝑䝥䜢฼⏝䛧䛯ྍኚኚ᪋⫧䜢⾜䛔䚸໬Ꮫ⫧ᩱ䛾䝁䝇䝖๐ῶ䜔స≀཰㔞䜔ရ㉁䛾ྥୖ䛻ᙺ❧䛶䜙䜜䜛䚹― 59 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-18䛇P2017-1
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅 䜰䜲䝇䜰䝹䝆䞊䛾䝸䝰䞊䝖䝉䞁䝅䞁䜾ᡭἲ䛾㛤Ⓨ㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅 Development of remote sensing method for ice algae䠄◊✲௦⾲⪅ྡ䠅 ᮅ㝰㻌 ᗣྖ㻌 䠄ᮾி㎰ᴗ኱Ꮫ㻌 ⏕≀⏘ᴗᏛ㒊䠅
Koji Asakuma 㻌 䠄Tokyo University of Agriculture 䠅䛆せ᪨䛇 ளᐮᖏịᾏᇦ䛾ᾏị୰䛻᳇ᜥ䛩䜛ᚤ⣽⸴㢮䛷䛒䜛䜰䜲䝇䜰䝹䝆䞊䛾䝞䜲䜸䝬䝇䜢ぢ✚䜒䜛䛯䜑䛻䚸䝺䞊䝄䞊䜢ບ㉳ග※䛧䛶ᾏị୰䛾䜽䝻䝻䝣䜱䝹a䛻䜘䜛⺯ග䜢ほ 䛩䜛䝅䝇䝔䝮䜢㛤Ⓨ୰䛷䛒䜛䚹䛣䜜䜎䛷䛻䚸USB-2000䜢⏝䛔䛯⺯ග䛾ほ䜢䛚䛣䛺䛳䛶䛔䛯䛜䚸ᐇ⏝໬䛻ྥ䛡䛶䚸䝗䝻䞊䞁ᦚ㍕䜹䝯䝷䛻䜘䜛ᛶ⬟ホ౯䜢䛚䛣䛺䛳䛯䚹䛭䛾⤖ᯝ䚸䜹䝯䝷䛾≉ᛶ䛸䛧䛶䚸䜽䝻䝻䝣䜱䝹䠽⃰ᗘ䛻ᑐ䛧䛶⥺ᙧ䛷䛿䛺䛟ᑐᩘ᭤⥺䛷⾲䛫䜛䛣䛸䛜ศ䛛䛳䛯䚹䜎䛯䚸ᐇᾏị䛾௦䜟䜚䛻᧿䜚䜺䝷䝇䜢⏝䛔䛶㏱㐣⋡䜢ኚ໬䛥䛫䛶ほ 䛧䛯ሙྜ䛷䜒䛣䛾᭤⥺㛵ಀ䛜ಖ䛯䜜䜛䛣䛸䛜ศ䛛䛳䛯䚹
䛆Abstract䛇 In order to estimate biomass by ice algae, which is micro algae living in sea ice, in the subarctic sea ice
area, a fluorescence observing system with excitation laser for chlorophyll a in sea ice are under development. So far,fluorescence observation with a spectrometer (USB-2000) has been conducted, for practical application in this year,
performance evaluation by aerial drone mounted camera was carried out. As a result, it was found that therelationship between the brightness value of a pixel and the chlorophyll-a concentration as a characteristic of thecamera can be expressed by a logarithmic curve rather than a linear line. Even when measured with varying
transmittance with rubbed frost glass, which was placed between the light source and the chlorophyll a reference
standard, the curve relationship between chlorophyll a concentration and luminance was maintained.

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᪉ἲ

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◊✲䛾
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ᡂᯝᒎ㛤䛾
≧ἣ

ᴟᇦ䚸ளᐮᖏᇦ䛾⏕≀⎔ቃ䜢䝰䝙䝍䝸䞁䜾䛩䜛䛖䛘䛷䚸ị୰䛻᳇ᜥ䛩䜛䜰䜲䝇䜰䝹䝆䞊䛾Ꮡᅾ䛿㔜せ䛷䛒䜛䚹䜰䜲䝇䜰䝹䝆䞊䜢䝰䝙䝍䝸䞁䜾䛩䜛䛯䜑䛻䛿䚸ேຊ䛷ᾏị䜢䝃䞁䝥䝸䞁䜾䛩䜛ᚲせ䛜䛒䜛䛜䚸኱ኚ䛺㔜ປാ䛷䛒䜛䛣䛸䛻ຍ䛘䚸⤖ịึᮇ䜔⼥ịᮇ䛺䛹ị䛜ⷧ䛟ே䛜ධ䜜䛺䛔᫬ᮇ䛻䚸ᾏị䜈䛾⸴㢮䛾ྲྀ䜚㎸䜏䜔ᨺฟ䛜⾜䜟䜜䛶䛔䜛䛸⪃䛘䜙䜜䜛䚹䛣䛾䛯䜑䝸䝰䞊䝖䝉䞁䝅䞁䜾䛺䛹䚸ேᡭ䛻䜘䜛䝃䞁䝥䝸䞁䜾↓䛧䛾ィ ᡭἲ䛜ᮃ䜎䜜䛶䛔䜛䚹ᮏ◊✲䛿䚸ᾏị䛜ⷧ䛟ග䛜㏱㐣䛩䜛᫬ᮇ䜢≺䛳䛶䚸㣕⾜䝗䝻䞊䞁䛛䜙405 nm䛾ບ㉳ග䜢↷ᑕ䛧䚸≉ู䛺䝉䞁䝃䜢⏝䛔䛪䛻䝗䝻䞊䞁ᦚ㍕䜹䝯䝷䛻䝅䝵䞊䝖䜹䝑䝖䝣䜱䝹䝍䜢⿦╔䛩䜛䛣䛸䛻䜘䜚䚸ୖ✵䛛䜙ịෆ䛾䜽䝻䝻䝣䜱䝹a䛾⺯ග䠄680 nm ௜㏆䠅䜢ほ 䛩䜛ᡭἲ䛾ྍ⬟ᛶ䜢᳨ウ䛧䛯䚹䠄䠍䠅㣕⾜䝗䝻䞊䞁䠄DJI〇, Phamtom 4䠅ᦚ㍕䛾䜹䝯䝷䠄ISO max 3200,
ບ㉳⏝䝺䞊䝄䞊
3840 x 2140 pixels, 30 fps䠅䛻䚸䜽䝻䝻䝣䜱䝹a ບ㉳⏝䝺䞊䝄䞊䠄䝺䞊䝄䞊䜽䝸䜶䜲䝖〇, 405 nm, 200 mW, CW䠅䚸TTLኚㄪჾ䛺䜙䜃䛻䝅䝵䞊䝖䜹䝑䝖䝣䜱䝹䝍䠄Edmond Optics〇, 650 nm䠅䜢⿦╔䛧䚸䜽䝻䝻䝣䜱䝹aほ ⏝䛾㣕⾜䝗䝻䞊䞁䜢ヨస䛧䛯䠄ᅗ䠍䠅䚹⿦╔⏝䛾෬ල䛿䠏D䝥䝸䞁䝍䠄AFINIA H400䠅䜢⏝䛔䛶ᙉᗘ䜢ಖ䛴䛯䜑䝫䝸䜹䞊䝪䝛䜲䝖䝣䜱䝷䝯䞁䝖䜢⏝䛔䛶⮬స䛧䛯䚹䝅䝵䞊䝖䜹䝑䝖
䠄䠎䠅䝗䝻䞊䞁ᦚ㍕䜹䝯䝷䛾ឤᗘ≉ᛶ䛿㠀බ㛤䛾䛯䜑䚸䜽䝻䝻䝣䜱䝹a⺯䝣䜱䝹䝍ග್䛸䝢䜽䝉䝹㍤ᗘ್䛾㛵ಀ䜢ᑟ䛔䛯䚹䜽䝻䝻䝣䜱䝹aᶆ‽≀㉁䠄࿴ග-1⣧⸆〇, 10 mg䠅䜢DMF䠄䝆䝯䝏䝹䝩䝹䝮䜰䝭䝗䠅䛷ᕼ㔘䛧䚸25 Pg L ,-1-1-1
ᅗ1 䜽䝻䝻䝣䜱䝹a⺯ගほ ⏝㣕⾜50 Pg L , 75 Pg L , 100 Pg L 䛾⃰ᗘ䛻ㄪᩚ䛧䛯䛾䛱䚸䜺䝷䝇ᐜჾ䛻䝗䝻䞊䞁ධ䜜1.5 mୖ✵䛛䜙䝡䝕䜸䜢᧜ᙳ䛧䛯䚹䛣䛾㝿䚸ኚㄪ䝺䞊䝄䞊䛾Ⅼ⁛䜢 3 Hz䛷⾜䛔䚸1ᅇ䛾Ⅼ⁛䛻10䝣䝺䞊䝮䛵䛴᧜ᙳ䛧䛯䚹Ⅼⅉ᫬䛾᭱
኱㍤ᗘ䠄DN䠅䛸ᾘⅉ᫬䛾᭱ᑠ㍤ᗘ䛸䛺䜛䝣䝺䞊䝮䜢ῶ⟬䛧䚸⺯ග್䛸䛧䛯䚹䛭䛾⤖ᯝ䚸䜽䝻䝻䝣䜱䝹a⃰ᗘ䛸⺯ග್䛾㛫䛻䛿Ⰻዲ䛺ᑐᩘ᭤
2⥺䛜䛒䜛䛣䛸䛜䜟䛛䛳䛯䠄r =0.994䠅䚹䠄䠏䠅䜽䝻䝻䝣䜱䝹aୖ㒊䛻䚸ᾏị䛾௦⏝䛸䛧䛶䝣䝻䝇䝖䜺䝷䝇䠄㏱㐣⋡22 % at 405 nm, 9 % at 680 nm䠅䜢タ⨨䛧䚸䜺䝷䝇ᯛᩘ䜢ኚ᭦䛧䛺䛜䜙ィ 䜢⾜䛳䛯䚹䛭䛾⤖ᯝ䚸䜺䝷䝇䛾ᯛᩘ䜢ቑ䜔䛧䛶䛔䛳䛶䜒᭤⥺㛵ಀ䛿ᔂ䜜䛪䚸䜽䝻䝻䝣䜱䝹a⃰ᗘ䛻ᑐ䛩䜛᭷ពᕪ䜒⥔ᣢ䛥䜜䛯䠄ᅗ䠎䠅䚹௒ᚋ䚸ప䜽䝻䝻䝣䜱䝹a⃰ᗘ䚸ప㏱㐣⋡䛷䛾㝈⏺್䜢ồ䜑䜛ணᐃ䛷 ᅗ2 䝗䝻䞊䞁ᦚ㍕䜹䝯䝷䛷ほ 䛧䛯䜽䛒䜛䚹䜎䛯䚸ᐇ㝿䛾ᾏị୰䛾䜽䝻䝻䝣䜱䝹a⃰ᗘ䜢ィ 䛩䜛ணᐃ䛷䛒䜛䚹䝻䝻䝣䜱䝹a⺯ග㛤Ⓨ䛧䛯ᡭἲ䛿䚸ROV䠄↓ே₯Ỉᶵ䠅䛻䜒㌿⏝ணᐃ䛷䛩䚹䜎䛯䚸㛤Ⓨ䛧䛯ᡭἲ䛿䚸ᾏị䛰䛡䛷䛿䛺䛟ᾏ⾲㠃䜔㝣ᇦ䛷䛾⺯ගほ― 60 ―

䛻䜒㌿⏝ྍ⬟䛷䛩䚹

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-19䛇◊✲఍㻌 ◊✲఍䛂䝝䜲䝟䞊䝇䝨䜽䝖䝹䝕䞊䝍ཬ䜃䝬䝹䝏䝇䝨䜽䝖䝹䝕䞊䝍䛾ィ 䛸⏘ᴗᛂ⏝䛃㻌 Workshop on “Hyperspectral and multispectral observations 䠉 methodology and applications”䠄◊✲௦⾲⪅ྡ䠅 ஂୡ ᏹ᫂㻌 䠄༓ⴥ኱Ꮫ⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊䠅
Hiroaki Kuze 䠄CEReS, Chiba University)䛆せ᪨䛇䝝䜲䝟䞊䝇䝨䜽䝖䝹ィ 䛸䚸䛭䛾ゎᯒ䛻❧⬮䛧䛯䝬䝹䝏䝇䝨䜽䝖䝹ィ 䛿䚸ᵝ䚻䛺⎔ቃ䜢䝍䞊䝀䝑䝖䛸䛩䜛⎔ቃ䛾䝸䝰䞊䝖䝉䞁䝅䞁䜾ィ 䜢䛿䛨䜑䚸ከ䛟䛾Ꮫ⾡ཬ䜃⏘ᴗศ㔝䛷ά⏝䛥䜜䜛䜘䛖䛻䛺䛳䛶䛔䜛䚹ᮏ◊✲఍䛷䛿䚸ศ㔝ᶓ᩿ⓗ䛺❧ሙ䛛䜙䝝䜲䝟䞊䝇䝨䜽䝖䝹䛚䜘䜃䝬䝹䝏䝇䝨 䜽䝖䝹ィ 䛾ᐇ౛䜢ሗ࿌䛧䛶㡬䛝䚸᝟ሗ䛾ඹ᭷䛸ᑗ᮶䛾ά⏝䜢ᅗ䜛䛣䛸䜢┠ᣦ䛩䚹

䛆Abstract䛇 Hyper-spectral measurement and multi-spectral measurement are frequently used in a variety of fields
including environmental remote sensing. In this workshop, speakers from various institutions from bothacademic and business sectors will talk on the recent examples of hyper-spectral and multi-spectral
measurements, for the purpose of sharing the pertinent information toward the future improvement of themethodology.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

᭱㏆䚸䝸䝰䞊䝖䝉䞁䝅䞁䜾ศ㔝䛻䛚䛔䛶䜒ά⏝䛜ᗈ䛜䛳䛶䛔䜛䝝䜲䝟䞊䞉䝬䝹䝏䝇䝨䜽䝖䝹ィ 䛻䛴䛔䛶䚸⏘ᴗ䜈䛾ᛂ⏝䜢ྵ䜑ಠ▔ⓗ䛺❧ሙ䛛䜙㆟ㄽ䛧䚸᝟ሗ஺᥮䜢⾜䛖┠ⓗ䛷䚸ୗグ䛾䜘䛖䛻◊✲఍䜢㛤ദ䛧䛯䚹᪥ ᫬䠖 2017ᖺ9᭶20᪥䠄Ỉ䠅 13:00-19:30 䠄᝟ሗ஺᥮఍䜢ྵ䜐䠅ሙ ᡤ䠖 ༓ⴥ኱Ꮫ す༓ⴥ䜻䝱䞁䝟䝇 ᯇ㡩఍㤋୺ ദ䠖 ༓ⴥ኱Ꮫ⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊
༠ ㈶䠖 ༓ⴥ኱Ꮫ Ꮫ⾡◊✲᥎㐍ᶵᵓ ⏘ᴗ㐃ᦠ◊✲᥎㐍䝇䝔䞊䝅䝵䞁ୗグ䛻♧䛩10௳䛾ㅮ₇䛜⾜䜟䜜䚸άⓎ䛺㉁␲䛜䛒䛳䛯䠄ཧຍ⪅䛿48ྡ䠅䚹
13:00 - 13:25 䠍䠊䛿䛨䜑䛻 ඹྠ฼⏝◊✲఍ 䛂䝝䜲䝟䞊䝇䝨䜽䝖䝹䞉䝬䝹䝏䝇䝨䜽䝖䝹䝕䞊䝍䛾ィ 䛸⏘ᴗᛂ⏝䛃 䛾㊃᪨ㄝ᫂
༓ⴥ኱Ꮫ⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊 (CEReS)㻌 ஂୡᏹ᫂13:25 -13:50 䠎䠊UAV䝸䝰䞊䝖䝉䞁䝅䞁䜾䛻䜘䜛Ỉ✄䝰䝙䝍䝸䞁䜾༓ⴥ኱ᏛCEReS ℈ ౔䚸㏆⸨᫛ᙪ䚸᪥ᮏᆅᅗ䝉䞁䝍䞊 ⏣୰ ᆂ
13:50 -14:15 䠏䠊䝝䜲䝟䞊䝇䝨䜽䝖䝹䜹䝯䝷䛻䜘䜛኱Ẽ୰NO2䛾⃰ᗘศᕸィ༓ⴥ኱ᏛCEReS 䞉JAXA/ISAS ┾Ꮚ┤ᘯ
14:15 - 14:40 䠐䠊ᅜ㝿Ᏹᐂ䝇䝔䞊䝅䝵䞁ᦚ㍕ HISUI 䝥䝻䝆䜵䜽䝖(୍㈈)Ᏹᐂ䝅䝇䝔䝮㛤Ⓨ฼⏝᥎㐍ᶵᵓ ❧ᕝဴྐ
14:40 - 15:05 䠑䠊ศග⏬ീ䜢⏝䛔䛯䝖䝬䝖䛾཰✭᫬ᮇண 䛻㛵䛩䜛◊✲す᪥ᮏ㟁ಙ㟁ヰᰴᘧ఍♫ ᢏ⾡㠉᪂㒊 ◊✲㛤Ⓨ䝉䞁䝍㻌 ᆏᕝ ᾴ
15:20 - 15:45 䠒䠊䝝䜲䝟䞊䝇䝨䜽䝖䝹䜹䝯䝷䛻䜘䜛⎔ቃィ ஦౛⤂௓ᰴᘧ఍♫䝡䝆䝵䞁䝔䝑䜽 ᑠⰼ࿴ᏹஅ
15:45 - 16:10 䠓䠊ศග䜲䝯䞊䝆䞁䜾䛻䜘䜛㧗ᶵ⬟Ⰽ᝟ሗฎ⌮䝅䝇䝔䝮ᮾிᕤᴗ኱Ꮫ ᒣཱྀ㞞ᾈ
16:10 - 16:35 䠔䠊䝝䜲䝟䞊䝇䝨䜽䝖䝹⏬ീ䛾⑓⌮⏬ീฎ⌮䜈䛾ᛂ⏝ᇸ⋢་⛉኱Ꮫ ▼ᕝ㞞ᾈ
16:35 - 17:00 䠕䠊䝉䞁䝃䞊ᢏ⾡䛻䜘䜛ᨭᣢ≀⭉㣗≧ែุᐃ䛻㛵䛩䜛ᇶ♏◊✲ᮾ᪥ᮏ᪑ᐈ㕲㐨ᰴᘧ఍♫ ༓ⴥ㟁ຊᢏ⾡䝉䞁䝍䞊 ᑠᕝⱥ⣖17:00 - 17:25 䠍䠌䠊䝝䜲䝟䞊䝇䝨䜽䝖䝹䛾⏘ᴗᛂ⏝஦౛䛸ᮍ᮶ືྥ䜶䝞䞉䝆䝱䝟䞁ᰴᘧ఍♫ 㧗Ⰻὒᖹ㏻ᖖ䛾䜹䝯䝷⏬ീ䛷䛿RGB䛾3䝏䝱䞁䝛䝹䛷䛾⏬ീ䛜グ㘓䛥䜜䜛䛜䚸㏆ᖺ䚸㛤Ⓨ䛜㐍䜣䛷䛔䜛䝝䜲䝟䞊䝇䝨䜽䝖䝹䜹䝯䝷䛷䛿100䝏䝱䞁䝛䝹䜢㉸䛘䜛㧗ศゎ⬟䛾䝇䝨䜽䝖䝹ィ 䛜⏬ീ䛾ྛⅬ䛻䛚䛔䛶ྍ⬟䛻䛺䜛䚹䛣䛾䜘䛖䛺ᛶ㉁䜢䛖䜎䛟ά⏝䛩䜛䛣䛸䛻䜘䜚䚸㎰ᴗ䚸኱Ẽởᰁ䚸Ⰽ᝟ሗฎ⌮䚸་⒪⏬ീ䚸♫఍䜲䞁䝣䝷デ᩿䛺䛹䛾ᵝ䚻䛺ศ㔝䛻䛚䛔䛶㠀◚ቯ䛷㎿㏿䛺ィ 䛜ྍ⬟䛻䛺䜛䛣䛸䛜ᮇᚅ䛥䜜䜛䚹ᮏ◊✲఍䛷䛿䚸㏻ᖖ䛾䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䛾ᯟ䜢㉸䛘䛶⏘ᴗศ㔝䜔་⒪ศ㔝䛛䜙䛾ㅮ₇䜒䛒䜚䚸䜘䛔᝟ሗ஺᥮䛾ᶵ఍䛸䛺䛳䛯䚹― 61 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-20䛇P2017-2
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅⾨ᫍ䝕䞊䝍䜢฼⏝䛧䛯ᑐὶᅪ䞉ᡂᒙᅪ䛾≀㉁㍺㏦㐣⛬䛻㛵䛩䜛◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Study for dynamical process in troposphere and stratosphere using satellite data䠄◊✲௦⾲⪅ྡ䠅Ụཱྀ⳯✑ (஑ᕞ኱Ꮫ㻌 ᛂ⏝ຊᏛ◊✲ᡤ)
Nawo Eguchi (Research Institute for Applied Mechanics, Kyushu University)䛆せ᪨䛇 ᮏᖺᗘ䛿䚸GOSAT TANSO-FTS TIR ͤ䜘䜚ᑟฟ䛥䜜䛯 CH4 䛾 Level 2, Version 01.xx 䜢⏝䛔䛶䚸୰䞉ୖ㒊ᑐὶᅪ
䛾CH4䛾Ꮨ⠇ኚ໬䚸ᖺ䚻ኚ໬䜢ㄪᰝ䛧䛯䚹䛣䜜䜎䛷䛾ඛ⾜◊✲䛷ᣦ᦬䛥䜜䛶䛔䜛䚸༡໭༙⌫㛫䛾䝁䞁䝖䝷䝇䝖䚸໭༙⌫ኟᏘ䛾䝅䝧䝸䜰䚸໭⡿኱㝣໭㒊䛷䛾ᴟ኱䛸Ꮨ⠇ኚ໬䛾≉ᚩ䛜䜏䜙䜜䛯䚹ୖ㒊ᑐὶᅪ䛻䛚䛔䛶䛿䚸ᑐὶάⓎᇦ䛷䛾ୖᒙ䜈䛾㍺㏦䛜䜏䜙䜜䚸䛭䛾໭ഃ䛾ᡂᒙᅪ㡿ᇦ䛸䛾㛫䛾ቨ䛜᫂░䛻ぢ䜙䜜䛯䚹䜎䛯ᑐὶᅪ୰ᒙ䛾༡䜈䛾ᗈ䛜䜚䛸䚸ᑐὶᅪ᭱ୗᒙ䛾ప⃰ᗘ䛾ಙ៰ᛶ䜢௒ᚋ䚸☜ㄆ䛧䛶䛔䛟䚹ͤ Greenhouse gases Observing SATtellite, Thermal And Near-infrared Sensor for carbon Observation- Fourier Transform Spectrometer, Thermal Infra-Red

䛆Abstract䛇 This study aims to investigate dynamical processes of transport in free-troposphere and stratospheretroposphere exchange by profile data of long- and short-lived trace gases (e.g., CO2 and Ozone profiles) in the
troposphere and stratosphere. This fiscal year investigated the seasonal and interannual variations of CH4 at
the middle and upper troposphere by the level-2 ver.01.xx data. The seasonal march is similar with that fromthe previous studies. At the upper troposphere, the enhanced CH4 were seen over the tropical convective
regions which extended to the southward across the equator.

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⫼ᬒ
┠ⓗ
᪉ἲ

⾨ᫍほ 䛛䜙ᑟฟ䛥䜜䛯኱Ẽᚤ㔞ᡂศ䚸䛚䜘䜃㞼≀⌮㔞䛾䝕䞊䝍䜢⏝䛔䛶䚸ᑐὶᅪ䛚䜘䜃ᡂᒙᅪෆ䛾≀㉁㍺㏦㐣⛬䛚䜘䜃ᑐὶᅪ䛸ᡂᒙᅪ㛫䛾≀㉁஺᥮㐣⛬䜢᫂䜙䛛䛻䛩䜛䛣䛸䜢┠ⓗ䛸䛩䜛䚹 ゎᯒ䛻䛿 GOSATTANSO-FTS TIR 䜘䜚ᑟฟ䛥䜜䛯 CO2 䛸 CH4 䛾 Level 2, Version 01.00 䜢⏝䛔䛯䚹ẚ㍑ゎᯒ䛷䛿䚸䝸䝖䝸䞊䝞䝹᫬䛻 a prior 䛸䛧䛶౑⏝䛧䛯ᅜ❧⎔ቃ◊䛾኱Ẽ㍺㏦䝰䝕䝹 (NIES-TM; Transport Model ver.5)[Saeki et al., GMD, 2013] 䛸㠀㟼ຊᏛ඲⌫䝰䝕䝹 Nonhydrostatic Icosahedral Atmospheric Model(NICAM)–based Transport Model (TM) [Niwa et al., JMSJ, 2011] 䛷ィ⟬䛥䜜䛯䝯䝍䞁䝕䞊䝍䜢౑⏝䛧䛯䚹

䠎
◊✲䛾
ᡂᯝ

䠄䠍䠅Ꮨ⠇ኚື䞉ᖺ䚻ኚືᏘ⠇㐍⾜䛚䜘䜃⤒ᖺኚ໬䛿኱Ẽ㍺㏦䝰䝕䝹 (NIES-TM 䛚䜘䜃 NICAM) 䛾ኚື 䛸䜋䜌ྠᵝ䛷䛒䛳䛯䚹໭༙⌫෤Ꮨ䚸㧗⦋ᗘ㝣ୖ䛚䜘䜃ኟᏘ䛾୰ኸ䞉ᮾ䜰䝆䜰ᇦ䛷⃰ᗘ䛜㧗䛔䚹໭༙⌫෤Ꮨ䛛䜙᫓Ꮨ䛾༡༙⌫୰㒊ኴᖹὒ䛷⃰ᗘ䛜ప䛔䚸ኟᏘ䛛䜙⛅Ꮨ䛿㉥㐨䜲䞁䝗ὒ䛛䜙す㒊ኴᖹὒᇦ䛻䛛䛡䛶⃰ᗘ䛜ప䛔䚹ᩘ್䝰䝕䝹䛸ྠᵝ䛺ഴྥ䛜䜏䜙䜜䛶䛔䜛䛜䚸ᩘ್䝰䝕䝹䛾᪉䛜༡໭୧༙⌫䛾⃰ᗘ䝁䞁䝖䝷䝇䝖䛜䛝䛴䛔䚹䝖䝺䞁䝗䛾ഴྥ䛿䚸ᑐὶᅪ୰䚸ୖᒙඹ䛻ள⇕ᖏᇦ䛷㧗䛟䛺䛳䛶䛔䜛䚹䠄䠎䠅 㖄┤ᵓ㐀
CH4 䛾㧗⃰ᗘᇦ䛿໭༙⌫㧗⦋ᗘᆅ⾲㠃௜㏆䛻䜏䜙䜜䚸䛭䛣䛛䜙䚸ୖᒙ䛚䜘䜃༡ഃ䛻ᗈ䛜䛳䛶䛔䜛ᵝᏊ䛜䜏䜙䜜䜛䚹ᑐὶάື䛜άⓎ䛺ప⦋ᗘ䛷䚸ୖ㒊ᑐὶᅪ䜈䛾ఙ㛗䛚䜘䜃䚸ୖ㒊ᑐὶᅪ䛷䛾༡༙⌫䜈䛾ᘏఙ䛜䜏䜙䜜䜛䚹≉䛻໭༙⌫ኟᏘ䛻㢧ⴭ䛷䛒䜛䚹༡༙⌫䜈䛾Ỉᖹ᪉ྥ䛾ᗈ䛜䜚䛿䚸ᩘ್䝰䝕䝹䛾≉ᚩ䛸␗䛺䜛䚹NIESTM 䛿≉䛻✚㞼䛻䜘䜛㖄┤㍺㏦䛾≉ᚩ䛜௚䛾䝰䝕䝹䜘䜚䜒ᙉ䛔䛣䛸䛜ᣦ᦬䛥䜜䛶䛚䜚 [Eguchi et al., ICDC8,2009]䚸ᑐὶᅪෆ䛾≉䛻໭༙⌫ഃ䛷⃰ᗘ䝁䞁䝖䝷䝇䝖䛜䜏䜙䜜䜛䚹䛭䜜௨㧗䛾ᡂᒙᅪ䛸䛾ቃ䛜᫂░䛷䛒䜛䚹୍
᪉䚸NICAM-TM 䛿ୖ㒊ᑐὶᅪ䛷䛾༡༙⌫䜈䛾ᘏఙ䛿ぢ䜙䜜䛺䛔䚹䜎䛯ᡂᒙᅪ䜒ྵ䜑䛶䚸⃰ᗘ䛜୍ᵝ䛷䚸ΰྜ㐣⛬䛜༟㉺䛧䛶䛔䜛䛣䛸䛜♧၀䛥䜜䜛䚹

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

ᮏ◊✲䛷ᐇ᪋䛧䛯䚸GOSAT/TANSO-FTS 䛾 TIR 䝞䞁䝗䛾 CH4 䝕䞊䝍䛾୰ୖ㒊ᑐὶᅪ䛾⃰ᗘศᕸ䛾ホ౯⤖ᯝ䛿䚸⯟✵ᶵ䝕䞊䝍䜢⏝䛔䛯㝈䜙䜜䛯᫬ᮇ䞉㡿ᇦ䛻䛚䛡䜛 TIR 䝞䞁䝗䛾 CH4 䝕䞊䝍䛾䝞䜲䜰䝇ホ౯⤖ᯝ䠄ḟᖺᗘㄅୖⓎ⾲ணᐃ䠅䜢඲⌫䛻㐺⏝䛷䛝䜛䛛ྰ䛛䜢ุ᩿䛩䜛㝿䛾ᣦᶆ䛸䛺䜛⤖ᯝ䛷䛒䜚䚸௒ᚋ䛾 TIR 䝞䞁
䝗䛾 CH4 䝕䞊䝍䜢⏝䛔䛯䝃䜲䜶䞁䝇◊✲䛷ཧ↷䛥䜜䜛䜒䛾䛷䛒䜛䚹― 62 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-21䛇P2017-3•㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅䝅䝭䝳䝺䞊䝅䝵䞁䝰䝕䝹䛸䝸䝰䞊䝖䝉䞁䝅䞁䜾䜢⏝䛔䛯Ỉ✄⏕⏘㔞᥎ᐃἲ䛾᳨ウ㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Developing estimation method of rice yield based on simulation modelwith remote sensing䠄◊✲௦⾲⪅ྡ䠅 ᮏ㛫㻌 㤶㈗㻌 䠄ᮾ໭኱Ꮫ䞉㎰Ꮫ◊✲⛉䠅
Koki Homma 㻌 䠄Graduate School of Agricultural Science, Tohoku University 䠅䛆せ᪨䛇㻌 䝸䝰䞊䝖䝉䞁䝅䞁䜾䜢⏝䛔䛯Ỉ✄䛾཰㔞᥎ᐃ᪉ἲ䛿ᐇ⏝໬ᡭẁ䛸䛧䛶☜❧䛧䛴䛴䛒䜛䜒䛾䛾䠈㐺ษ䛺᫬ᮇ䛻⾨ᫍ⏬ീ䛜ᚓ䜙䜜䛺䛔䛣䛸䜔䠈ᅡሙ䛤䛸䛻᱂᳜᪥䛜␗䛺䜛䛣䛸䛻䜘䜛ᙳ㡪䛺䛹ᵝ䚻䛺ㄢ㢟䛜ṧ䛳䛶䛔䜛䠊ᮏ◊✲䛷䛿䛭䛾ゎỴᡭẁ䛾୍䛴䛸䛧䛶䝅䝭䝳䝺䞊䝅䝵䞁䝰䝕䝹䛾฼⏝䜢ヨ䜏䠈㐺⏝᪉ἲ䜢᳨ウ䛩䜛䠊ᮏᖺᗘ䛿㞄᥋䛩䜛ᅡሙ䛷᱂ᇵ䛥䜜䛶䛔䛯኱㇋䛾䝕䞊䝍䜢ྲྀᚓ䛧䠈䛣䜜䜎䛷䛻ᚓ䜙䜜䛯▱ぢ䛾ᛂ⏝ᛶ䜢᳨ウ䛧䛯䠊㻌 ኱㇋ᅡሙ䛷䛿‵ᐖ䛜኱䛝䛺⏕⏘㜼ᐖせᅉ䛸䛺䛳䛶䛚䜚䠈ᅵተ䛾ྵỈ⋡䛜⏕⏘ኚື䛾⣙25%䜢ㄝ᫂䛧䛶䛔䛯䠊䛥䜙䛻䝸䝰䞊䝖䝉䞁䝅䞁䜾䛷䛾‵ᐖ䛾᳨ฟྍ⬟ᛶ䜢᳨ウ䛧䛯䛸䛣䜝䠈GNDVI䜢⏝䛔䜛䛣䛸䛻䜘䜚᳨ฟྍ⬟䛷䛒䜛䛣䛸䛜♧၀䛥䜜䛯䠊

䛆Abstract䛇 This study aims to improve the simulation model with remote-sensing to estimate rice yield in order toenhance the adaptability of the model. This year we applied the developed model on soybean field.
The soybean production in farmers fields was restricted by excess humidity and the variation of soil
moisture explained 25 % of that of soybean production. Results suggests that GNDVI, one of remotesensing indexes, detects areas damaged by excess soil moisture.

◊✲䛾ᡂᯝ䠄䠍䠅㻌 2017ᖺ䛿7᭶ୗ᪪䛛䜙8᭶୰᪪䜎䛷୙㡰䛺ኳೃ䛜⥆䛝䠈‵ᐖ䛜ᴟ䜑䛶㉳䛣䜚䜔䛩䛔≧ἣ䛷䛒䛳䛯䠊䠄䠎䠅㻌 1㐌㛫䛻1ᗘ䛾⏕⫱ㄪᰝ➼䜢⾜䛔䠈䝕䞊䝍䜢཰㞟䛧䛯䠊㻌
9᭶5᪥䛾ᅵተྵỈ⋡䛜㧗䛔ᆅⅬ䛷䛿཰㔞䛜పୗഴྥ䛻䛒䜚䠈┠ど䛻䜘䜛ほᐹ䜔䠈ⴥⰍ䛺䛹䛛䜙‵ᐖ䛜Ⓨ⏕䛧䠈཰㔞䛜పୗ䛧䛯䛸⤖ㄽ௜䛡䜙䜜䛯䠊ྵỈ⋡䛻䜘䜚཰㔞ኚື䛾⣙25%䛜ㄝ᫂䛥䜜䛯䠄ᅗ1䠅䠊䠄䠏䠅㻌 䝸䝰䞊䝖䝉䞁䝅䞁䜾䝕䞊䝍䛿䝗䝻䞊䞁䠄䠏DRobotics♫〇Solo䠅䛻䝬䝹䝏䝇䝨䜽䝖䝹䜹䝯䝷䠄Parrot♫〇Sequoia䠅䜢䛴䛡䛶⾜䛳䛯䠊ィ6ᅇ䛾᧜ᙳ䜢⾜䛔䠈ゎᯒ䜢⾜䛳䛯䛸䛣䜝䠈9᭶5᪥䛾GNDV䠄ୗᘧ䠅䛿ⴥⰍ䠄SPAD
್䠅䛚䜘䜃཰㔞䛸᭷ព䛺┦㛵䜢♧䛧䠈䝸䝰䞊䝖䝉䞁䝅䞁䜾䛻䜘䜚‵ᐖ䛜᳨ฟྍ⬟䛷䛒䜛䛸⪃䛘䜙䜜䛯䠊௒ᚋ䛿᧜ᙳ᫬ᮇ䜔Ἴ㛗㑅ᢥ䜢䛥䜙䛻㐍䜑䠈䛥䜙䛻⤒᫬ⓗ䛺ኚ໬䛾ゎᯒ䛺䛹䜢ຍ䛘䠈ᚓ䜙䜜䛯⤖ᯝ䛾୍⯡໬䜢⾜䛖ணᐃ䛷䛒䜛䠊 =

   + ᡂᯝᒎ㛤䛾≧ἣྵỈ⋡(%)
ᅗ1ᅵተྵỈ⋡䛸཰㔞䛾㛵ಀGNDVINIR : ㏆㉥እ䛾཯ᑕ⋡䠗㻌 Green : ⥳䛾཯ᑕ⋡䠏཰㔞(g/m²)䠎•䝸䝰䞊䝖䝉䞁䝅䞁䜾䜢⏝䛔䛯Ỉ✄䛾཰㔞᥎ᐃ᪉ἲ䛿ᐇ⏝໬ᡭẁ䛸䛧䛶☜❧䛧䛴䛴䛒䜛䜒䛾䛾䠈㐺ษ䛺᫬ᮇ䛻
⾨ᫍ⏬ീ䛜ᚓ䜙䜜䛺䛔䛣䛸䜔䠈ᅡሙ䛤䛸䛻᱂᳜᪥䛜␗䛺䜛䛣䛸䛻䜘䜛ᙳ㡪䛺䛹ᵝ䚻䛺ㄢ㢟䛜ṧ䛳䛶䛔䜛䠊ᮏ◊✲䛷䛿䛭䛾ゎỴᡭẁ䛾୍䛴䛸䛧䛶䝅䝭䝳䝺䞊䝅䝵䞁䝰䝕䝹䛾฼⏝䜢ヨ䜏䠈㐺⏝᪉ἲ䜢᳨ウ䛩䜛䠊䛣䜜䜎䛷䛻Ỉ✄䜢୰ᚰ䛻ᢏ⾡㛤Ⓨ䜢㐍䜑䛶䛝䛯䛜䠈᪥ᮏ䛷䛿Ỉ✄䛾⏕⏘ᛶ䛜ẚ㍑ⓗᏳᐃ䛧䛶䛔䜛䛾䛻ᑐ䛧䠈኱㇋䛾⏕⏘䛿㠀ᖖ䛻୙Ᏻᐃ䛷䛒䜚䠈᱂ᇵᨭ᥼ᢏ⾡䛾☜❧䛜ᮃ䜎䜜䛶䛔䜛䠊䛭䛣䛷ᮏᖺ䛿䛣䜜䜎䛷䛾▱ぢ䜢ᇶ䛻䠈኱㇋ᅡሙ䛷䝕䞊䝍䜢㞟䜑䠈኱㇋ᅡሙ䛷䛾㐺⏝ᛶ䛻䛴䛔䛶᳨ウ䜢⾜䛳䛯䠊

SPAD

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

ᅗ2 GNDVI䛸SPAD್䛸䛾㛵ಀ

㛤Ⓨ䛧䛯ᡭἲ䛿ᮏ㒓༓᫓෸ᩍᤵ䛜௦⾲䜢ົ䜑䜛JST-JICAᆅ⌫つᶍㄢ㢟ᑐᛂᅜ㝿⛉Ꮫᢏ⾡༠ຊ䝥䝻䜾䝷䝮䛂㣗ᩱᏳ඲ಖ㞀䜢┠ᣦ䛧䛯Ẽೃኚື㐺ᛂ⟇䛸䛧䛶䛾㎰ᴗಖ㝤䛻䛚䛡䜛ᦆᐖホ౯ᡭἲ䛾ᵓ⠏䛸♫఍ᐇ⿦䛃䛻䛚䛔䛶ά⏝䛥䜜䜛ணᐃ䛷䛒䜛䠊― 63 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-22䛇୍⯡◊✲㻌 ⮬↛⅏ᐖ䛻䜘䜚⏕䛨䛯㟁㞳ᅪኚື䛾ᐃ㔞ⓗゎᯒ㻌 Quantitative analysis of ionospheric perturbations associated with natural hazards
䠄◊✲௦⾲⪅ྡ䠅 ୰⏣㻌 ⿱அ㻌 䠄༓ⴥ኱Ꮫ䞉኱Ꮫ㝔ᕤᏛ◊✲⛉䠅
Hiroyuki Nakata 䠄Chiba University 䞉Graduate School of Engineering䠅䛆せ᪨䛇ᆅ㟈䠄ὠἼ䠅䚸ⅆᒣ䚸ྎ㢼䛺䛹䛻䜘䜚㟁㞳ᅪᨐ஘䛜Ⓨ⏕䛩䜛䛣䛸䛜▱䜙䜜䛶䛔䜛䛣䛸䛛䜙䚸ᮏ◊✲䛿䛣䛾䜘䛖䛺⮬↛⌧㇟䛻䜘䜚⏕䛨䛯㟁㞳ᅪኚື䛸Ἴື※䛸䛾㛵ಀ䛻䛴䛔䛶᫂䜙䛛䛻䛩䜛䛣䛸䜢┠ⓗ䛸䛩䜛䚹୧⪅䛾㛵ಀ䜢᫂䜙䛛䛻䛩䜛䛣䛸䛻䜘䜚䚸㟁㞳ᅪ୰ᛶ኱Ẽᅛయᆅ⌫䛾」ྜ⣔䛻䛚䛡䜛Ἴື┦஫స⏝䛸䛔䛖䚸Ꮫ⾡ⓗ䛺㔜せ䛺▱ぢ䜢♧䛩䛸䛸䜒䛻䚸㟁㞳ᅪኚື䛛䜙䛣䜜䜙䛾⮬↛⅏ᐖ䛾つᶍ䜢ぢ✚䜒䜛䛣䛸䛜ྍ⬟䛻䛺䜛䛯䜑䚸㟁㞳ᅪᨐ஘䛾ほ䛻䜘䜛⅏ᐖ㆙ሗ䛺䛹䛾ᛂ⏝䛺䛹䛻䜒ᮇᚅ䛷䛝䜛䚹

䛆Abstract䛇 It is well-known that the ionospheric disturbances associated with natural hazards, such as
earthquakes (tsunamis), volcanic eruptions, typhoons, and so on. In this study, we have examined
the ionospheric disturbances in order to clear the relationship between the ionosphericdisturbances and their sources. This result contributes to showing the scientific knowledge of
coupling process of the ionosphere-neutral atmosphere-solid earth. In addition, this is alsoavailable to the warning system of natural hazards using ionospheric observations.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

኱つᶍ䛺⅏ᐖ䜢ᘬ䛝㉳䛣䛩⮬↛⌧㇟䛿䚸 ᆅ⾲௜㏆䛻ᙉ䛔኱ẼἼື䜢ᘬ䛝㉳䛣䛧䚸䛣䜜䛜ୖ✵䛾㟁㞳ᅪ䜎䛷ఏᦙ䛩䜛䛣䛸䛷ᨐ஘䜢Ⓨ⏕䛥䛫䜛䚹ᮏ◊✲䛷䛿䚸ᆅ㟈䞉ⅆᒣ䞉ྎ㢼䛻క䛖㟁㞳ᅪኚື䛻䛴䛔䛶䚸ᐃ㔞ⓗ䛻᫂䜙䛛䛻䛩䜛䛣䛸䜢┠ⓗ䛸䛩䜛䚹≉䛻䚸ⅆᒣ䚸ྎ㢼䛻䛴䛔䛶䛿䚸䛭䛾ᐃᛶⓗ䛺ゎᯒ䛻䛚䛔䛶䜒༑ศ䛻䛺䛥䜜䛶䛔䛺䛔䛣䛸䛛䜙䚸䝕䞊䝍ゎᯒ䛻䛴䛔䛶䛿䠈GPS䠈HF䝗䝑䝥䝷䞊ほ 䛻䜘䜛ゎᯒ䜢୰ᚰ䛻㐍䜑䜛䚹䜎䛯ᆅ㟈䛻䛴䛔䛶䛿䠈䛣䜜䜎䛷䛻ᵝ䚻䛺ゎᯒ䛜㐍䜑䜜䜙䛶䛔䜛䛜䠈ኚື䛾㖄┤᪉ྥ䛾ኚື䛻䛴䛔䛶䛿ᮍ䛰୙༑ศ䛷䛒䜛䛾䛷䠈ேᕤ⾨ᫍ䛻䜘䜛ほ 䝕䞊䝍䜢⏝䛔䛶䠈ᆅ㟈䛻క䛖ኚື䜢ゎᯒ䛩䜛䚹䠄䠍䠅 䛣䜜䜎䛷HF䝗䝑䝥䝷䞊䛻䜘䜛㟁㞳ᅪኚືほ 䛻䜘䜚䠈ྎ㢼䛻క䛔䠈ᩘ10 mHzᖏ䛾ኚື䛜⌧䜜䜛䛣䛸䛜䜟䛛䛳䛶䛔䜎䛧䛯䛜䠈ᆅୖ䛷䛾ᚤẼᅽほ 䛷䜒䠈ྠᵝ䛾ᖏᇦ䛷ኚື䛜⌧䜜䛶䛔䜛䛣䛸䛜᫂䜙䛛䛸䛺䜚䜎䛧䛯䚹䜎䛯䠈䛣䛾ᩘ10 mHz䛾኱ẼἼື䛿䠈ྎ㢼䛾୰ᚰẼᅽ䛜ప䛔ሙྜ䛿䠈ྎ㢼䛜䛛䛺䜚㐲᪉䛻䛔䛶䜒ほ 䛥䜜䜛䜒䛾䛾䠈㟁㞳ᅪኚື䛜⌧䜜䜛䛾䛿䠈ྎ㢼䛾୰ᚰ䛜ほ Ⅼ䛛䜙250 km௨ෆ䛻᥋㏆䛧䛯ሙྜ䛻⌧䜜䛶䛚䜚䠈኱ẼἼື䛜㖄┤䛻ఏᦙ䛩䜛䛣䛸䛷ኚື䛜Ⓨ⏕䛩䜛䛣䛸䛜ᙉ䛟♧၀䛥䜜䜛⤖ᯝ䛸䛺䜚䜎䛧䛯䚹ᐇ㝿䠈䛣䛾ᖏᇦ䛾ኚື䛿䠈኱Ẽ㔜ຊἼ䛾㡢Ἴ䝰䞊䝗䛸⪃䛘䜙䜜䠈ほ ⤖ᯝ䛸▩┪䛧䛺䛔⤖ᯝ䛷䛩䚹䠄䠎䠅ⅆᒣ䛻క䛖ኚື䛻䛴䛔䛶䛿䠈䛣䜜䜎䛷䛻䠈ὸ㛫ᒣᄇⅆ䛻క䛖ኚື䛻䛴䛔䛶GPS-TEC䠈HF䝗䝑䝥䝷䞊ほ䝕䞊䝍䜢⏝䛔䛶䠈⾪ᧁ䛻క䛖▷࿘ᮇኚື䛜䜎䛪⌧䜜䠈䛭䛾ᚋ䠈㟁㞳ᅪୗ㒊䛸ᆅ⾲䛸䛾ඹ㬆䛻క䛖㛗࿘ᮇኚື䛜⌧䜜䜛䛣䛸䛜᫂䜙䛛䛻䛺䜚䜎䛧䛯䚹ᮏᖺ䛿䛣䛾ኚື䛜ᄇⅆ䛾⾪ᧁ䛾ఏᦙ䛻䜘䜛䛣䛸䜢☜ㄆ䛩䜛䛯䜑䛻䠈㡢Ἴ䛾䝺䜲䝖䝺䞊䝅䞁䜾䜢⾜䛔䠈GPS-TEC䠈HF䝗䝑䝥䝷䞊ඹ䛻䠈⾪ᧁ䛾ఏᦙ䛷Ⓨ⏕᫬้䛜㡢Ἴ䛾ఏᦙ䛷ㄝ᫂䛷䛝䜛䛣䛸䜢᫂䜙䛛䛻䛧䜎䛧䛯䚹䜎䛯䠈ᱜᓥᄇⅆ䛻క䛖GPSTECኚື䛻䛴䛔䛶䜒ゎᯒ䜢㐍䜑䠈ᄇⅆ䛻క䛖Ẽᅽኚື䠄✵᣺䠅䛾኱䛝䛥䛸GPS-TECኚື䛸䛾㛫䛻┦㛵䛜䛒䜛䛣䛸䜢♧䛧䜎䛧䛯䠄ᅗ䠍䠅䚹

ᅗ1 ᱜᓥᄇⅆ䛻క䛖GPS-TECኚື䛸✵᣺䠄ᮾ㒆ඖ䠅䛸䛾┦㛵䠄䠏䠅ᆅ㟈䛻క䛖㟁㞳ᅪኚື䛾㖄┤ศᕸ䛻䛴䛔䛶䠈FORMOSAT/COSMIC⾨ᫍ䛻䜘䜛᥏ⶸほ 䝕䞊䝍䜢⏝䛔䛶ゎᯒ䜢㐍䜑䜎䛧䛯䚹ᮾ໭ᆅ᪉ኴᖹὒἈᆅ㟈䛻䛸䜒䛺䛖ኚື䛻䛴䛔䛶ゎᯒ䜢㐍䜑䛯䛸䛣䜝䠈䛭䛾ኚືศᕸ䛿䠈䝺䜲䝸䞊Ἴ䛜ᆅ⾲㠃䜢ఏᦙ䛩䜛᫬㛫䛸㡢Ἴ䛜㖄┤᪉ྥ䛻ఏᦙ䛩䜛᫬㛫䛻䜘䜚ㄝ᫂䛷䛝䜛䛣䛸䛜᫂䜙䛛䛻䛺䜚
䜎䛧䛯䚹

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

ᮏ◊✲䛾ᡂᯝ䛛䜙䠈ⅆᒣ䛻క䛖ኚື䛻䛴䛔䛶䛿䛛䛺䜚ᐃ㔞ⓗ䛺ゎᯒ䛜㐍䜑䜙䜜䠈ᆅ⾲௜㏆䛾✵᣺䛾ኚື㔞䛸GPS-TECኚື䛸䛾┦㛵䛜ᐃ㔞ⓗ䛻᫂䜙䛛䛻䛺䜛ྍ⬟ᛶ䛜♧䛥䜜䛯䚹௒ᚋ䠈ྎ㢼䛻క䛖ኚື䛻䛴䛔䛶䛿䠈䜘䜚ゎᯒ䜢㐍䜑䛶䛔䛟ᚲせ䛜䛒䜛䚹ᮏ◊✲䛻䜘䜚䠈㟁㞳ᅪኚື䛸ᆅୖ䛾ᵝ䚻䛺䝟䝷䝯䞊䝍䛸䛾ᐃ㔞ⓗ䛺┦㛵䛜᫂䜙䛛䛻䛺䜛䛣䛸䛷䠈ྛ⮬↛⅏ᐖ䛾つᶍ䛾䝰䝙䝍䝸䞁䜾䜢㟁㞳ᅪほ 䛻䜘䜚⾜䛖䛣䛸䛜ྍ⬟䛻䛺䜛䛣䛸䛜⪃䛘䜙䜜䜛䚹

― 64 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-23䛇P2017-1,P2017-3
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅ྜᡂ㛤ཱྀ䝺䞊䝎䛻䜘䜛⎔ቃィ 䛻㛵䛩䜛◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅A study on environmental measurement by synthetic aperture radar䠄◊✲௦⾲⪅ྡ䠅ⱝᯘ㻌 ⿱அ㻌 䠄᪥ᮏ኱Ꮫ䞉ᕤᏛ㒊䠅
Hiroyuki Wakabayashi㻌 䠄College of Engineering䞉Nihon University䠅㻌 ᮏ◊✲䛿䚸ྜᡂ㛤ཱྀ䝺䞊䝎(SAR)䝕䞊䝍䜢౑⏝䛧䛯⎔ቃィ 䛾㧗⢭ᗘ໬䜢┠ⓗ䛸䛧䛶䛔䜛䚹H29ᖺᗘ䛿⎔ቃィศ㔝(᳃ᯘ䚸㎰ᴗ䚸㞷ị)䛾୰䛷୺䛻㎰ᴗศ㔝䛾◊✲䜢ᐇ᪋䛧䛯䚹ලయⓗ䛻䛿䚸PALSAR-2䝕䞊䝍䜢౑⏝䛧䛶✄సᆅᖏ䛻㉳䛝䛯⿕ᐖ⿕ᐖ䜢᳨ฟ䛩䜛᪉ἲ䜢᳨ウ䛧䛯䚹2015ᖺ䛾㛵ᮾᮾ໭㇦㞵䛾ὥỈ⿕ᐖ⠊ᅖ䛜᪤▱䛾ሙᡤ(ᖖ⥲ᕷ)䛻䛴䛔䛶䚸⥺ᙧุูศᯒἲ䜢౑⏝䛧䛶ὥỈ⿕ᐖ㡿ᇦ䜢᳨ฟ䛩䜛ᚋ᪉ᩓ஘ಀᩘ䛾䛧䛝䛔್䜢⟬ฟ䛧䛯⤖ᯝ䚸ධᑕゅ䛜40㼻๓ᚋ䛷㧗䛔᳨ฟ⋡䜢♧䛧䛶⣙80䠂䛾᳨ฟ⋡䛸䛺䛳䛯䚹䜎䛯䚸䝇䝨䝑䜽䝹పῶ䝣䜱䝹䝍䛾㐺⏝䛻䜘䜚᳨ฟ⋡䛜ྥୖ䛧䚸㧗ධᑕゅ䛻䛚䛔䛶ᨵၿ䛜኱䛝䛛䛳䛯䚹䛆Abstract䛇 The main objective of this research is to improve an accuracy of environmental monitoring by usingsynthetic aperture radar (SAR) data. Among the environmental monitoring fields, the agricultural
application was selected to focused target in JFY2017.We investigated a method to detect flooded area inrice paddy field by using PALSAR-2 data. Linear discriminant analysis was applied to PALSAR-2 data
covering inundated area at Joso City in September, 2015. The detection accuracy took the maximum
value at the incidence angle of 40 degrees. And an improvement of detection accuracy by speckle
reduction was obvious at the higher incidence angle data.
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㻌 ᮏ◊✲䛷䛿䚸ྜᡂ㛤ཱྀ䝺䞊䝎(SAR)䝕䞊䝍䜢౑⏝䛧䛯⎔ቃィ 䛾㧗⢭ᗘ໬䜢┠ⓗ䛸䛧䛶䛔䜛䚹㏆ᖺ⾨ᫍᦚ
㍕SAR䛾ほ 䝟䝷䝯䞊䝍䛜ከᵝ໬䛧䚸࿘Ἴᩘ䚸೫Ἴ䚸ධᑕゅ䛜㑅ᢥ䛷䛝䜛䜘䛖䛻䛺䛳䛶䛝䛯䚹ᖹᡂ29ᖺᗘ䛿䚸SAR䝕䞊䝍䜢౑⏝䛧䛯㎰ᴗศ㔝䛷䛾⎔ቃィ 䛻䛚䛡䜛᭱㐺䛺ほ 䝟䝷䝯䞊䝍䜢ᢳฟ䛩䜛䛣䛸䜢┠ᣦ䛧䛶◊✲䜢ᐇ᪋䛧䛯䚹
㻌 PALSAR-2䛜2015ᖺ9᭶11᪥ࠥ16᪥䛻䛛䛡䛶䚸Ⲉᇛ┴ᖖ⥲ᕷ䜢ほ 䛧䛯䝕䞊䝍䜢౑⏝䛧䛶䚸✄సᆅ䛾ᾐỈ⿕ᐖ㡿ᇦ䜢᳨ฟ䛩䜛ᚋ᪉ᩓ஘ಀᩘ䛾䛧䛝䛔್䛾ᢳฟ䜢ヨ䜏䛯䚹ᮏ◊✲䛻䛚䛡䜛PALSAR-2䝕䞊䝍ゎᯒ䛾⤖ᯝ䚸௨ୗ䛾ᡂᯝ䜢ᚓ䛯䚹(1)ᖖ⥲ᕷ䜢ほ 䛧䛯PALSAR-2䝕䞊䝍䛸ᅜᅵᆅ⌮㝔䛜♧䛧䛯ᾐỈ㡿ᇦ(ᅗ1)䜢ẚ㍑䛩䜛䛣䛸䛻䜘䛳䛶䚸
PALSAR-2䝕䞊䝍䛻䛚䛡䜛ᚋ᪉ᩓ஘ಀᩘ䛾䛧䛝䛔್䜢⟬ฟ䛧䛯䚹(2)ᚋ᪉ᩓ஘ಀᩘ䛾䛧䛝䛔್䜢౑⏝䛧䛶ὥỈ⠊ᅖ䜢᳨ฟ䛧䛶⤖ᯝ䜢♧䛩(ᅗ2)䚹
(3)ᾐỈ㡿ᇦ䛾᳨ฟ⢭ᗘ䛿ධᑕゅ40ᗘ๓ᚋ䛷㧗䛔᳨ฟ⋡䜢♧䛧䛯䚹䜎䛯䚸䝇䝨䝑䜽䝹పῶ䝣䜱䝹䝍䛻䜘䜚᳨ฟ⋡䛜ྥୖ䛧䚸≉䛻㧗ධᑕゅ䛻䛚䛔䛶ᨵၿ䛜኱䛝䛛䛳䛯(ᅗ3)䚹

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➨64ᅇ(ᖹᡂ30ᖺᗘ᫓Ꮨ)᪥ᮏ䝸䝰䞊䝖䝉䞁䝅䞁䜾Ꮫ఍Ꮫ⾡ㅮ₇఍䛻䛚䛡䜛Ⓨ⾲(ணᐃ)➨㻞㻜ᅇ⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾䝅䞁䝫䝆䜴䝮㻌㻔㻞㻜㻝㻤㻚㻞㻚㻝㻡㻌Ⓨ⾲῭㻕㻌― 65 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-24䛇SP2017-3
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅MODIS䜢⏝䛔䛶䜸䝤䝆䜵䜽䝖ᴫᛕ䜢㐺⏝䛧䛯᳜⏕ศ㢮ᡭἲ䛾㛤Ⓨ㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Object-Based Classification of MODIS in Hokkaido䠄◊✲௦⾲⪅ྡ䠅ὸ἟ ᕷ⏨㻌 䠄ᮾி኱Ꮫ䞉䝕䜱䝆䝍䝹⏬ീゎᯒ◊✲ᡤ䠅
Ichio Asanuma㻌 䠄Tokyo University of Information Sciences 䠅䛆せ᪨䛇ᮏ◊✲䛷䛿䚸ᆅᙧⓗ≉ᚩ䛸Ẽೃⓗ≉ᚩ䚸phenology᝟ሗ䜢⏝䛔䛶໭ᾏ㐨䛾Ỉ⏣ᢳฟ䜢᭱⤊┠ⓗ䛸䛩䜛䚹ⴥ㔞䜔䝞䜲䜸䝬䝇䛸┦㛵䛜ᙉ䛔NDVI䛻䛴䛔䛶䜒ྠᵝ䛾ኚື䛜௬ᐃ䛷䛝䜛䚹䛣䛾䜘䛖䛺NDVIኚື≉ᛶ䜢๓ᥦ䛸䛧䛶䚸ᮏ◊✲䛷䛿䚸㞼䛺䛹䛾䝜䜲䝈䜢㝖ཤ䛧䛯᫬⣔ิNDVI䝕䞊䝍䝉䝑䝖䜢⏝䛔䛶໭ᾏ㐨䛾Ỉ⏣䜢ᢳฟ䛩䜛䛯䜑䛾᪂䛯䛺ᡭἲ䜢ᥦ᱌䛩䜛䚹ලయⓗ䛻䛿䚸✚⟬ ᗘ䛸┦ᑐᶆ㧗䚸phenology(duration)䜢⤫ྜⓗ⏝䛔䜛䛣䛸䛷䚸᪂䛯䛺Ỉ⏣ᢳฟᡭἲ䜢㛤Ⓨ䛩䜛䚹

Remote sensing technology has been used in land use and land cover classification. Especially paddy
䛆Abstract䛇 fields is an important cultivated area Asia. To accurately extract the area is the important indicator toestimate the food production. In this research Rice paddy classification in Hokkaido was performed using
the climate, geographical feature and the separating feature and later it was compared with a vegetation
map of the Ministry of the Environment. The method proposed by this research, Topographical features(DEM), Climatic features (accumulated temperature), Spectrometer features (MODIS), elements of thesethree features were used to abstract paddy field. and extract the paddy field.

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✄స䛿඲ୡ⏺䛷⾜䜟䜜䛶䛚䜚䚸䜰䝆䜰䛻䛚䛔䛶᭱䜒㔜せ䛺㎰ᴗ䛷䛒䜛䚹᪥ᮏ䛷䛿⡿䛜୺㣗䛾ᆅ఩䜢༨䜑䚸ᩥ໬䜔Ṕྐ䛺䛹䛾どⅬ䛛䜙㔜せ䛺ព࿡䜢ᣢ䛴䚹≉䛻䚸⡿䛾⏕⏘㔞䛾⣙90䠂䜢䜰䝆䜰䛜༨䜑䚸㣗ᩱ㈨※䛾ほⅬ䛛䜙䛷䜒㔜せ䛷䛒䜛䚹Ỉ⏣㠃✚ㄪᰝ䛿䚸⡿䛾⏕⏘㔞䜢᥎ᐃ䛩䜛ᣦᶆ䛻䛺䜚䚸ᅜᐙᨻ⟇䚸⟶⌮䚸㐙⾜䛻ᙳ㡪䜢୚䛘䜛せ⣲䛻䛺䜛䛯䜑䚸㠃✚䜢ṇ☜䛻ᢕᥱ䛩䜛䛣䛸䛿ᴟ䜑䛶㔜せ䛺ㄢ㢟䛷䛒䜛䚹䛭䛣䛷䚸ᮏ◊✲䛿᫬⣔ิ
MODIS䝕䞊䝍䜢⏝䛔䛶໭ᾏ㐨䛾Ỉ⏣ᇦᢳฟ䜢⾜䛖䚹䜎䛪䚸DEM䜢⏝䛔䛶ᆅᙧ䛾≉ᚩ䠄ഴᩳ䚸᪉ྥ䠅䜢ィ⟬䛧䝉䜾䝯䞁䝔䞊䝅䝵䞁䜢⾜䛔䚸MODIS䛛䜙ồ䜑䛯䝣䜵䝜䝻䝆䞊䜢⏝䛔䛶ᅵᆅ⿕そᅗ䛾సᡂ䜢ヨ䜏䜛䚹• 䝉䜾䝯䞁䝔䞊䝅䝵䞁᳜≀䛾ศᕸ䜢Ỵᐃ௜䛡䜛᮲௳䛸䛧䛶ᆅᙧ䜔ᆅ㉁䛜⪃䛘䜙䜜䜛䚹≉䛻ᆅᙧ䛾พฝ䛜᳜⏕䛾⏕Ꮡ᮲௳䛸䛺䜛ᅵተỈศ䚸᪥↷䚸㢼ᙜ䛯䜚➼䛻ᙳ㡪䜢୚䛘䜛䚹ᆅᙧ䛿୺䛻ᒣ㡬ᒇ᰿㒊䚸ᒣ⭡㒊䚸ᒣ〈㒊䚸㇂ ἑ㒊䚸ྎᆅ㒊䚸పᆅ㒊䚸‵ᆅ㒊䛻༊ศ䛥䛫䜛䚹ᮏ◊✲䛷䛿DEM䝕䞊䝍䚸DEM䛛䜙ィ⟬䛧䛯ഴᩳ䚸ᩳ㠃᪉ྥ䚸䜢⏝䛔䛶䝉䜾䝯䞁䝔䞊䝅䝵䞁䜢⾜䛳䛯䚹• FFT䜢⏝䛔䛯᫬⣔ิ䝕䞊䝍⿵ṇ᫬⣔ิ⾨ᫍ䝕䞊䝍䛻䛿㞼䛾ᙳ㡪䛜ṧ䛳䛶䛔䜛䛯䜑FFT䜢⏝䛔䛯᫬⣔ิ⿵ṇ䜢⾜䛖䚹• ศ㢮⤖ᯝ
ᮏ◊✲䛿䚸Ẽೃⓗ≉ᚩ䚸ᆅᙧⓗ≉ᚩ䚸ศගⓗ≉ᚩ䜢⏝䛔䛶䚸໭ᾏ㐨䛾Ỉ⏣ศᕸᅗ䜢సᡂ䛧䛯䚹䛭䛾⤖ᯝ䜢⎔ቃ┬䛾
25000ศ䛾1䝕䞊䝍䛸ẚ㍑䜢⾜䛳䛯䚹⎔ቃ┬䝕䞊䝍䛾䛩䜉䛶䛾ᆅᇦ䛻ᑐ䛧䛶68䠂䛾⢭ᗘ䛜☜ㄆ䛷䛝䛯䚹୺䛻ᖏᗈ࿘㎶䛷ከ䛟䛾ㄗᕪ䛜⏕䛨䛯䚹ᖏᗈ䛾Ỉᣦᩘ䛿㧗䛟✄䛸ྠ䛨᫬ᮇ䛻ከ䛟䛾స≀䠄㇋䚸䝆䝱䜺䜲䝰䛺䛹䠅䛜཰✭䛥䜜䜛䛯䜑䚸Ỉ⏣䛾䝣䜵䝜䝻䝆䞊䛷䛿༊ู䛜ᅔ㞴䛷䛒䜛䛣䛸䛜ศ䛛䛳䛯䚹

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ᅗ1

䝕䞊䝍ฎ⌮䛾ὶ䜜ᮏ◊✲䛷䛿పゎീᗘ⾨ᫍ䝕䞊䝍䜢⏝䛔䛶䜸䝤䝆䜵䜽䝖ศ㢮䜢⾜䛳䛯䚹᳜⏕ศᕸ䛻኱䛝䛟ᙳ㡪䛩䜛ᆅᙧ≧ែ䜢
DEM䜢⏝䛔䛶⾜䛳䛯䚹ྛ䜸䝤䝆䜵䜽䝖㡿ᇦ䛻ྵ䜎䜜䜛䝣䜵䝜䝻䝆䞊᝟ሗ䜢⏝䛔䛶ศ㢮䜢⾜䛳䛯䚹䛧䛛䛧䚸ศ㢮⢭ᗘ䛜ప䛟䚸ᐇ⏝໬䛩䜛䛻䛿䜒䛳䛸◊✲䜢⾜䛖ᚲせ䛜䛒䜛䚹䜎䛯䚸MODIS䛾䜏䛷䛿䛺䛟Landsat䝕䞊䝍䜢✚ᴟⓗ䛻ά⏝䛧䚸MODIS䝕䞊䝍䛾▷ᡤ䜢⿵䛖ᚲせ䛜䛒䜛䚹― 66 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-25䛇SP2017-3
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅MachingLearning䛻䜘䜛ᆅ㟈ᚋ⏬ീ䜢⏝䛔䛯⿕⅏ᆅᢳฟ㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Selection for Damaged Building using Post-Earthquake image with Machine learning䠄◊✲௦⾲⪅ྡ䠅 ᮔ㻌 㙂ᮽ㻌 䠄ᮾி኱Ꮫ䞉䝕䜱䝆䝍䝹⏬ീゎᯒ◊✲ᡤ䠅
Jonggeol Park㻌 䠄Tokyo University of Information Sciences 䠅䛆せ᪨䛇ᮏ◊✲䛿ᆅ㟈⅏ᐖᚋ䛾㧗ゎീᗘ⾨ᫍ䝕䞊䝍䜢⏝䛔䛶⿕⅏ᆅ䜢ᢳฟ䛩䜛䛯䜑䛾᭷ຠ䛺≉ᚩ㔞䛸᪉ἲ䛻㛵䛧䛶◊✲䜢⾜䛳䛯䚹䝢䜽䝉䝹䝧䞊䝇⏬ീ䛛䜙䜸䝤䝆䜵䜽䝖䝧䞊䝇⏬ീ䛻ኚ᥮䛧䚸䜸䝤䝆䜵䜽䝖≉ᚩ䜢⏝䛔䛶ゎᯒ䜢⾜䛳䛯䚹䜸䝤䝆䜵䜽䝖䝧䞊䝇సᡂ䛻䜒2㝵ᒙSegmentation䜢⾜䛖䛣䛸䛷䜘䜚᭷ຠ䛺≉ᚩ㔞䛜ᚓ䜙䜜䜛䚹ᆅ㟈䛻䜘䛳䛶ᔂ䜜䛯ቨ䜔ᒇ᰿䛾⎰♟䛻╔┠䛧Segmentation䜢⾜䛳䛯䚹䜸䝤䝆䜵䜽䝖䝧䞊䝇䛻䜘䛳䛶ᚓ䜙䜜䛯≉ᚩ㔞䜢Stepwiseἲ䛻䜘䛳䛶᭷ຠ䛺≉ᚩ㔞䜢ᢳฟ䛧ᶵᲔᏛ⩦䛻䜘䜛ศ㢮䜢⾜䛳䛯䚹In this study, prioritizing the practicality of the method for emergency purposes, we designed a method

䛆Abstract䛇 only to use a single satellite image of an affected area, eliminating the use of complex algorithms andauxiliary data. The uniqueness of our method lies in the application of an object-based region
segmentation to images and the use of features of objects obtained from texture, hierarchical and otherinformation in order to extract damaged buildings. We proposed a regression equation ofEarthquake_damage and used it to identify damaged buildings in different earthquake affected areas.

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ᮏ◊✲䛷䛿⅏ᐖᚋ䛾༢⏬ീ⾨ᫍ䝕䞊䝍䛾䜏䜢⏝䛔䛶⿕⅏ᆅ䜢▷᫬㛫䛻ᢳฟ䛧䚸⌧ሙ䛾ᩆ᥼ᑐ⟇䛻ᚲせ䛺ᨭ᥼䝕䞊䝍సᡂ䜢┠ⓗ䛸䛩䜛䚹䛭䛾䛯䜑䚸ᐇ⏝ᛶ䜢⪃䛘ฎ⌮䛻」㞧䛺䜰䝹䝂䝸䝈䝮䜔⿵ຓ䝕䞊䝍䜢⏝䛔䛺䛔䛷༢⏬ീ㧗ゎീᗘ⾨ᫍ䝕䞊䝍䛾䜏䜢⏝䛔䛯◊✲䛷䛒䜛䚹ᮏ◊✲䛾ὶ䜜䛿䚸㧗ゎീᗘ⾨ᫍ䝕䞊䝍䜢⏝䛔䛶㡿ᇦศ๭䜢⾜䛔䚸ᆅ㟈䛻䜘䛳䛶⿕⅏䛧䛯ᘓ≀䛾䜸䝤䝆䜵䜽䝖䛾≉ᚩ䠄㝵ᒙ䛻䜘䜛᝟ሗ䚸ᙧ≧≉ᚩ㔞䜔䝔䜽䝇䝏䝱≉ᚩ㔞䠅䜢ㄪ䜉䜛䚹䝖䝺䞊䝙䞁䜾䜸䝤䝆䜵䜽䝖䛛䜙ᚓ䜙䜜䛯ከ䛟䛾≉ᚩ㔞䛛䜙⿕⅏ᘓ≀䛾ᢳฟ䛻᭷ຠ䛺≉ᚩ㔞䜢Stepwiseἲ䛻䜘䛳䛶㑅ู䛧ᅇᖐᘧ䜢ồ䜑䜛䚹᭱ᚋ䛻ᅇᖐᘧ䜢⏝䛔䛶䛩䜉䛶䛾䜸䝤䝆䜵䜽䝖䛻ᑐ䛧䛶⿕⅏ุᐃ䜢⾜䛖䚹• 2㝵ᒙ㡿ᇦศ๭䛾≉ᚩ䜾䝹䞊䝥㻌 ಽቯ䛧䛯ᘓ≀䛾࿘ᅖ䛻䛿ቨ䜔ᒇ᰿䛾⎰♟䛺䛹䛜ᩓᅾ䛧䛶䛔䜛䚹䛭䛣䛷䚸1ᅇ┠䛾㡿ᇦศ๭䛿ᑠ䛥䛔⎰♟୍䛴୍䛴䜢䜸䝤䝆䜵䜽䝖䛸䛧䛶ᢳฟ䛧䚸2ᅇ┠䛿⎰♟䜢ྵ䜣䛰ᘓ≀䜢1䛴䛾䜸䝤䝆䜵䜽䝖䛻ᢳฟ䛷䛝䜛䜘䛖䛻㡿ᇦศ๭䜢⾜䛖䚹2㝵ᒙ㡿ᇦศ๭䜢⾜䛖䛣䛸䛷ୖ఩䛾䜸䝤䝆䜵䜽䝖䛻ྵ䜎䜜䜛ୗ఩ᒙ䛾䝃䝤䜸䝤䝆䜵䜽䝖䛾ᩘ䜢▱䜛䛣䛸䛜䛷䛝䜛䚹ಽቯ䛧䛯ᘓ≀䛾࿘㎶䛷䛿⎰♟䛜ᩓᅾ䛧䛯≧ែ䛷䠍䛴䛾䜸䝤䝆䜵䜽䝖䛻䛺䜛䛯䜑䚸ୗ఩ᒙ䛾䝃䝤䜸䝤䝆䜵䜽䝖䛾ᩘ䛿⎰♟䛾ᩘ䛾ศ䛰䛡ከ䛟䛺䜛䚹㝵ᒙ㡿ᇦศ๭䛛䜙䛿Number of Sub-objects䛸Area䛾≉ᚩ㔞䛜ᚓ䜙䜜䜛䠄ᅗ䠍䠅䚹• Stepwiseἲ䛻䜘䜛᭷ព䛺≉ᚩ㔞㑅ู⿕⅏ᘓ≀䜢⢭ᗘⰋ䛟ุู䛩䜛䛯䜑䛻䛿䜸䝤䝆䜵䜽䝖䛛䜙ᚓ䜙䜜䛯≉ᚩ㔞䜢䛩䜉䛶⏝䛔䜛䜘䜚䚸⿕⅏ᘓ≀䜢ᙉㄪ䛥䛫䜛≉ᚩ㔞䠄Length of longest of edge/Area䛸Dissimilarity/Homogeneity䠅䛸2㝵ᒙ㡿ᇦศ๭≉ᚩ㔞
䠄Number of sub-objects䠅䜢⏝䛔䜛䛣䛸䛜᭷ຠ䛷䛒䜛䛣䛸䛜ศ䛛䛳䛯䚹

ᅗ1

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

ᅗ2

䠎㝵ᒙ㡿ᇦศ๭䛾≉ᚩ䜾䝹䝥ධຊ⏬ീ䛸⿕⅏ᆅᢳฟ⤖ᯝᮏ◊✲䛻䜘䛳䛶⿵ຓ䝕䞊䝍䜢౑䜟䛪⿕⅏ᚋ⏬ീ䛾䜏䜢⏝䛔䛶▷᫬㛫䛻ᆅ㟈⿕⅏ᆅᢳฟ䛜ྍ⬟䛻䛺䛳䛯䚹䛧䛛䛧䚸ᆅ㟈⿕⅏ᆅᢳฟ䜢ᐇ⏝໬䛩䜛䛯䜑䛻䛿௒ᚋゎỴ䛧䛺䛡䜜䜀䛺䜙䛺䛔ㄢ㢟䛜䛔䛟䛴䛛䛒䜛䚹ᆅ㟈䛻䜘䜛⿕⅏≧ἣ䛿⤒῭䜔ᩥ໬䛺䛹䛻䜘䛳䛶␗䛺䜛䛯䜑䚸Segmentation䜢⾜䛖䛯䜑䛾タᐃ䛺䛹䛜␗䛺䜛䚹௒ᚋ䛾ㄢ㢟䛸䛧䛶䛿≀యㄆ㆑䛻䜘䜛⮬ືSegmentation᪉ἲ䛻䛴䛔䛶ㄪ䜉䜛ᚲせ䛜䛒䜛䚹― 67 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-26䛇P2017-1
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅CP-SAR᳨ド⏝UAV䛻ᦚ㍕䛩䜛ගᏛᘧⅆᒣ䜺䝇䝉䞁䝃䛾ᐇ㦂ⓗ㛤Ⓨ◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Experimental development study of optical volcanic gas sensing system mounted㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 㻌 on the UAV verification for CP-SAR䠄◊✲௦⾲⪅ྡ䠅 ኱๓㻌 ᏹ࿴㻌 䠄ᰴᘧ఍♫䝉䞁䝔䞁䝅䜰䠅
Hirokazu Ohmae㻌 (Sentencia Corporation)
䛆せ᪨䛇

&36$5ਫ਼઒৷૮যఄষਃ‫ق‬ਰৣ8$9‫ك‬峢峘࿌ൗ峕峲峵ౌ৛崔崡崣嵛崟嵛崘峼୛୍峕峲峴৵஑峔ŦŲŕ崣嵛崝‫ق‬৲৾ಞ৕ૄ‫ك‬峼৫৅峁ਬ岷ਢ岮峐୾৾ૄŦŲŕ崣嵛崝峘৫৅峘峉峫峘୾৾௺峘্ૄ峼ਫ਼ୈ峁୾ଡ଼শ峼భಇ峁峉ਉ৶嵊崯嵓峼ଡണ峁峉মফ২峙岽峘ਉ৶峼౷峨岲峉঱峑শ୾ଡ଼峑峘୾৾೾৒峼૭ચ峒峃峵ৰୡ৓峔ਫ਼઒峼ਤ峫峵岽峒峒峁峉岶୾ଡ଼শ峼ન৳峃峵岽峒峒৵஑৲峘૏য়岶୔峁岮হ岶ਖ਼৥峁峉ৈ૎২峘୾৾崣嵛崝岶૑ਏ峒峔峵岶ใோ崣嵛崝峘ઞ৷峑峙૎২਱঱峬଒ੀ岶岬峵হ峨峉ਈ੺峘崣嵛崝৿਱岵峳崷崌崹嵤崡嵂崗崰嵓৲峘૴島岶ႀ෩峑岬峵হ岵峳શ崿嵕崠崏崗崰峑ਫ਼ୈ峁峐岷峉ઃ੪崣嵛崝峘崔崡ਫ਼ল峢峘ి৷岶૭ચ岵峓岰岵峼ਫ਼ୈ৯৓峕ਸ岲峐ગਫ਼ୈ峼ষ峍峉峇峘崷崌崹嵤崣嵛崝峕峲峍峐崯嵤崧਄੭峙ৰ઱লਟ峉岞ੰෲੰ๸峙০৏峘ୖ਻峑岬峵峨峉০৏峙岽峘ர峘崣嵛崝峘৵஑৲峼਌਻৯峒峁峐ਤ峫峐ষ岹্਱峼અ岲峐岮峵䛆Abstract䛇 We developed a compact CO2 sensor of chemical element type for volcanic gas sensing on UAV
mounted. Next, the development for the optical CO2 sensor was studied. It has been found that it isdifficult to achieve compatibility between the optical path length and the miniaturization. So, we changed
the target of study to the possibility of applying the 2D Hyper Spectral sensor for gas detection. We havebeen developing Hyper sensor in another project. We measured sky by the hyper sensor and got data.
Analysis and interpretation are future tasks.㻌 We want to consider the direction to go forward as a theme
that miniaturization of this type of sensor.

䠍
⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

䝝䞊䝗᳨ウᮇ㛫䛻ㄢ㢟䛸䛧䛶኱䛝䛺ቨ䛸䛺䛳䛯䚸㛗ග㊰㛗䛾ᐇ⌧䛸ᑠᆺ໬䛾▩┪䜢ゎỴ䛩䜛䜘䜚䛿䚸䜺䝇᳨▱䜢ศග䛻䜘䜛≉ᚩ䝕䞊䝍ᢳฟ䛻䜘䛳䛶᳨ฟ䛩䜛䛸䛔䛖᪉ྥ䛻䝅䝣䝖䛧䛯䚹
ู㏵㛤Ⓨ䛧䛶䛔䛯䝝䜲䝟䞊䝇䝨䜽䝖䝹䝉䞁䝃䛜䜺䝇᳨▱䛻㐺⏝ྍ⬟䛷䛒䜛䛛䜢୺䛯䜛┠ⓗ䛸䛧䛶䚸Sky䜢ほ䛧䚸䜎䛪䛿䜶䜰䝻䝌䝹/⢊ሻ᳨ฟ䜢┠ᶆ䛸䛧䛯䚹㏆㉥እᇦ䛷䛾䝝䜲䝟䞊䝇䝨䜽䝖䝹䝉䞁䝃䜢⏝䛔䛶✵䜢᧜ീ䛧ᩓ஘≧ែ䜢ศගྍど໬䛧䛯䚹䛣䛾䝉䞁䝃䛿䛒䜛Ἴ㛗䛾⏬ീ䛜ྲྀᚓ䛷䛝䜛䝉䞁䝃䛷䛒䜛䚹䠄䠍䠅ู䝥䝻䝆䜵䜽䝖䛷㛤Ⓨ䛧䛶䛔䜛䝝䜲䝟䞊䝇䝨䜽䝖䝹䝉䞁䝃䜢ᮏ◊✲䛻㐺⏝䛧䚸䜺䝇᳨ฟ䛾ྍ⬟ᛶ䜢᳨ド䛧䛯.
䛣䛾䝉䞁䝃䛻䜘䜚䚸䛒䜛Ἴ㛗䛾⏬ീ䛾ྲྀᚓ䛜ྍ⬟䛸䛺䜛.
ᅗ1㻌 䝝䜲䝟䞊䝇䝨䜽䝖䝹䝉䞁䝃䛻䜘䜛ศග⏬ീ䠄䠎䠅኱Ẽ䜢ィ 䛧䛯⏬ീ㻔ᅗ㻝㻕䛸ィ ⏬⣲䛾㻰㻺್䝥䝻䝣䜱䝹䜢㻌ᅗ㻞䛻♧䛩㻚㻌 ィ ⏬ീ䛿㻘኱Ẽほ 䛾䛯䜑䛾㻿㼗㼥㻾㼍㼐㼕㼛㼙㼑㼠㼑㼞㻌䛷౑⏝䛧䛶䛔䜛䠎Ἴ㛗㻔㻥㻤㻜㼚㼙㻘㻝㻞㻢㻜㼚㼙㻕௜㏆䛾䛖䛱㻌㻥㻤㻜㼚㼙Ἴ㛗䛷䛒䜛㻚㻌ᅗ2㻌 䝝䜲䝟䞊䝇䝨䜽䝖䝹䝉
䞁䝃䛾DN್䝥䝻䝣䜯䜲䝹䠄䠏䠅Ἴ㛗䛾㐪䛔䛻䜘䜛ศග⏬ീ䛻䛿᫂䜙䛛䛺ᕪ␗䛜䜏䜙䜜䜛䛣䛸䛛䜙䚸኱Ẽ୰䛾ఱ䜙䛛䛾ᡂศᕪ䜢᳨ฟ䛷䛝䜛ྍ⬟ᛶ䛜䛒䜛䛸ᛮ䜟䜜䜛䛜䚸䛭䛾⏬ീฎ⌮䚸ゎᯒ䚸䛭䛧䛶ゎ㔘䛿௒ᚋ䛾ㄢ㢟䛷䛒䜛䛸⪃䛘䛶䛚䜚䚸⎔ቃ䝸䝰䞊䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊䛾◊✲㈨⏘䛾ά⏝䛻䜘䜚ゎ㔘䜢㐍䜑䛶䛔䛝䛯䛔䚹

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

䝝䜲䝟䞊䝇䝨䜽䝖䝹䝉䞁䝃䛾ᑠᆺ໬䛸㛗Ἴ㛗໬䛾ὶ䜜䜢ᐇ⌧䛧䛖䜛ᶵჾ䛷䛒䜛䛾䛷䚸䛣䛾ᶵჾ䛾ᑠᆺ໬䛧䚸
UAVᦚ㍕䛻䛣䛞䛴䛡䛯䛔䛸⪃䛘䛶䛔䜛䚹୍᪉䛷䛿䚸⏬ീ䛸䛧䛶ྲྀᚓ䛷䛝䜛䝝䜲䝟䞊䝇䝨䜽䝖䝹䝕䞊䝍䛾ฎ⌮䚸ゎᯒᡭἲ䜢☜❧䛩䜛䛣䛸䜒኱䛝䛺ㄢ㢟䛷䛒䜚䚸䝝䞊䝗㛤Ⓨ䛸䛸䜒䛻䚸䜰䝥䝸䜿䞊䝅䝵䞁㛤Ⓨ䛻䜒ຊ䜢ධ䜜䛶䛔䛟ணᐃ䛷䛒䜛䚹

― 68 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-27䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅㞵⁲⢏ᗘィ䛸」ᩘ䛾⾨ᫍ䝕䞊䝍䜢ά⏝䛧䛯䜲䞁䝗ள኱㝣໭ᮾ㒊䛷䛾GPM䝥䝻䝎䜽䝖᳨ド㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Validation of GPM Products over the Northeastern Indian Subcontinent Utilizing
Disdrometers and Multiple Sattelite Observations䠄◊✲௦⾲⪅ྡ䠅ᑎᑿ㻌 㻌 㻌 ᚭ㻌 䠄㤶ᕝ኱Ꮫ䞉ᩍ⫱Ꮫ㒊䠅
Toru Terao 㻌 䠄Faculty of Education, Kagawa University 䠅䛆せ᪨䛇2016ᖺᗘ䜎䛷䛾ඹྠ◊✲䛻䜘䜚᫂䜙䛛䛸䛺䛳䛯䚸䜲䞁䝗ள኱㝣໭ᮾ㒊䛾ୡ⏺᭱ከ㞵ᇦ䛷䛒䜛䝯䜺䝷䝲㧗ཎ䛾ኟᏘ䝰䞁䝇䞊䞁ᮇ䛾TRMM/PR㞵㔞᥎ᐃ್䛻ぢ䜙䜜䜛䚸኱䛝䛺㐣ᑠホ౯䛾ཎᅉ䛾ゎ᫂䜢┠ⓗ䛸䛧䛯◊✲䜢㐍䜑䛯䚹䝯䜺䝷䝲㧗ཎ䛻タ⨨䛧䛯㞵⁲⢏ᗘィ䜢฼⏝䛧䛶䚸ᙜヱᆅᇦ䛾㞵⁲⢏ᚄศᕸ≉ᛶ䜢ゎᯒ䛧䛯䚹ᙜヱᆅᇦ䛾ኟᏘ䝰䞁䝇䞊䞁ᮇ䛾㞵⁲䛾⢏ᚄ䛿䚸௚䛾᫬ᮇ䛾㝆Ỉ䛻ẚ㍑䛧䛶ᑠ䛥䛔ഴྥ䛜䛒䜛䚹䛣䛾䛣䛸䛿䚸ᙜヱᆅᇦ䛾䝺䞊䝎䞊᥎ᐃ㝆Ỉ㔞䛾㐣ᑠホ౯䛸ᩚྜⓗ䛷䛒䜛䚹䜎䛯䚸TRMM 2A23䜰䝹䝂䝸䝈䝮䛻ᇶ䛵䛔䛶䚸㝆Ỉ䝅䝇䝔䝮䛾≉ᛶ䛸㐣ᑠホ౯䛾㛵ಀ䛻䛴䛔䛶ゎᯒ䛧䚸䝯䜺䝷䝲㧗ཎ䛷䛿ᒙ≧ᛶ㝆Ỉ䛜ᐤ୚䛧䛶䛔䜛䛣䛸䜢᫂䜙䛛䛻䛧䛯䚹䛆Abstract䛇 The present study aims to elucidate the cause of the large underestimation in the TRMM/PR near surface
rain over the Meghalaya Plateau, the wettest place on the earth in summer monsoon season. We utilized
the data obtained from disdrometers installed on the plateau. The rain drop size in the monsoon season
tends to smaller that those in other season. This is consistent with the underestimation by radarobservation. Based on the TRMM 2A23 algorithm, we found the stratiform rainfall contribute much for theunderestimation over the Meghalaya Plateau.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

ேᕤ⾨ᫍTRMM䛻ᦚ㍕䛥䜜䛯㝆㞵䝺䞊䝎䞊(TRMM/PR䝉䞁䝃䞊)䛻䜘䜛᥎ᐃᆅୖ㝆Ỉ㔞䛾⢭ᗘ䛾ྥୖ䛿඲⌫䛾㝆Ỉ㔞᥎ᐃ䛻䛚䛔䛶㔜せ䛺ㄢ㢟䛷䛒䜛䚹䛧䛛䛧䚸ୡ⏺ⓗ䛺ከ㞵ᇦ䛷䛒䜛䜲䞁䝗ள኱㝣໭ᮾ㒊䛾䝯䜺䝷䝲㧗ཎ௜㏆䛷䛿䚸㢧ⴭ䛺㝆Ỉ䛾㐣ᑠホ౯䛜᳨ฟ䛥䜜䛯䚹ᮏ◊✲䛾┠ⓗ䛿䚸䛣䛾㐣ᑠホ౯䛾ཎᅉ䛻㏕䜚䚸㝆Ỉ㐣ᑠホ౯䛾ಟṇ䜰䝹䝂䝸䝈䝮䛾ᥦ᱌䜢⾜䛖䛣䛸䛷䛒䜛䚹䛭䛾䛯䜑䛻䚸ᙜヱᆅᇦ䛾㝆Ỉ㔞᥎ᐃ䛾ᇶ♏䛸䛺䛳䛶䛔䜛䝺䞊䝎䞊᪉⛬ᘧ䛜๓ᥦ䛸䛧䛶䛔䜛Z-R㛵ಀ䛾ጇᙜᛶ䛾᳨ド䛾䛯䜑䛻䚸䝯䜺䝷䝲㧗ཎୖ䛻タ⨨䛧䛯㞵⁲⢏ᗘィ䝕䞊䝍䜢ゎᯒ䛧䛶ᙜヱᆅᇦ䛾㞵⁲⢏ᗘศᕸ䜢᫂䜙䛛䛻䛩䜛䛸䛸䜒䛻䚸TRMM 2A23䜰䝹䝂䝸䝈䝮䛻ᇶ䛵䛟㝆Ỉ≉ᛶ䛾ゎᯒ䜢᪂䛯䛻ᐇ᪋䛧䛯䚹୺せ䛺ᡂᯝ䛿௨ୗ䛾䠎Ⅼ䛻䜎䛸䜑䜛䛣䛸䛜䛷䛝䜛䚹䠄䠍䠅䝯䜺䝷䝲㧗ཎ䛾䝰䞁䝇䞊䞁㝆Ỉ䛾㞵⁲⢏ᗘศᕸ≉ᛶゎᯒ㞵⁲⢏ᗘィ䛾ほ ⤖ᯝ䜢ゎᯒ䛧䛯䚹ᅗ1䛿䚸2017ᖺ10᭶21᪥䛾㠀䝰䞁䝇䞊䞁ᮇ䛾㝆Ỉ(㉥)䛸䚸2017ᖺ8᭶11᪥䛾䝰䞁䝇䞊䞁ᮇ䛾㝆Ỉ(㟷)஦౛䛻䛴䛔䛶䚸1ศ䛤䛸䛾㝆Ỉᙉᗘ䛸⢏ᚄ䠄୰ᚰ್䠅䛾㛵ಀ䜢䝥䝻䝑䝖䛧䛯䜒䛾䛷䛒䜛䚹㝆Ỉᙉᗘ䛾ᙉ䛔䛸䛝䛻䚸௚䛾᫬ᮇ䛻ẚ䜉䛶⢏ᚄ䛜ᑠ䛥䛔ഴྥ䛜䛒䜛䛣䛸䛜䜟䛛䜛䚹୺せ䛺䝰䞁䝇䞊䞁ᮇ䛾㝆Ỉ㔞䛾኱䛝䛛䛳䛯᪥䜢䠏஦౛ゎᯒ䛧䛯䛜䚸䛔䛪䜜䜒ྠᵝ䛾ഴྥ䜢♧䛧䛶䛔䛯䚹䛣䛾䛣䛸䛿䚸⾨ᫍᦚ㍕䝺䞊䝎䞊䛛䜙䛾㝆Ỉ㐣ᑠホ౯䛸ᩚྜⓗ䛺⤖ᯝ䛷䛒䜛䚹௒ᚋゎᯒ஦౛䜢ቑ䜔䛧䚸▱ぢ䜢䜘䜚☜ᐇ䛻䛩䜛ᚲせ䛜䛒䜛䚹
䠄䠎䠅TRMM/PR㝆Ỉ㐣ᑠホ౯䛾ཎᅉศᯒTRMM/PR䛻ぢ䜙䜜䜛䝰䞁䝇䞊䞁ᮇ䝯䜺䝷䝲㧗ཎ䛾㝆Ỉ㐣ᑠホ౯䛾ཎᅉ䜢⪃ᐹ䛩䜛䛯䜑䚸TRMM 2A23䜰䝹䝂䝸䝈䝮䛻䜘䜛㝆Ỉ䜢䜒䛯䜙䛩㞼䛾䝍䜲䝥䜢ศᯒ䛧䛯䚹
ᅗ2䛜䛭䛾⤖ᯝ䛷䛒䜛䚹䝯䜺䝷䝲㧗ཎᇦ䛷䛿ᒙ≧ᛶ㝆Ỉ䛾ᐤ୚䛜኱䛝䛔䛣䛸䛜ศ䛛䜛䚹༡ഃ䛾䝅䝺䝑䝖ᆅᇦ䛷䛿䚸ᑐὶᛶ㝆Ỉ䛾ᐤ୚䛜኱䛝䛟䚸㐪䛔䛜䜏䜙䜜䜛䚹

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

෗┿䜔ᅗ
䠍䡚䠎Ⅼ䛻⤠䛳䛶䛟䛰䛥䛔ᅗ1 㝆Ỉᙉᗘ䛸⢏ᚄ䛾㛵ಀ

ぢ㏨䛧

ᒙ≧ᛶ

ᑐὶᛶ

ᅗ2 㐣ᑠホ౯䛻ᑐ䛩䜛㝆Ỉ䝍䜲䝥ู䛾ᐤ୚ᡂᯝ䛾୍㒊䜢ㄽᩥⓎ⾲䛧䜎䛧䛯䚹Terao, T. et al. (2017): Direct validation of TRMM/PR near surface rainover the Northeastern Indian subcontinent using tipping bucket raingauge network. SOLA, 13, 157-162.
ᡂᯝ䜢௨ୗ䛾㛵㐃Ꮫ఍䜔◊✲఍➼䛷Ⓨ⾲䛧䜎䛧䛯䚹(1) ➨367ᅇ⏕Ꮡᅪ䝅䞁䝫䝆䜴䝮, 2018ᖺ2᭶22᪥, Ᏹ἞ᕷ䞉(2)Joint PI Meeting of Global Environment Observation Mission FY2017, 24 Jan. 2018, Tokyo䞉
(3)➨20ᅇ⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾䝅䞁䝫䝆䜴䝮, 2018ᖺ2᭶15᪥, ༓ⴥᕷ― 69 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-28䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅䝬䜲䜽䝻Ἴᨺᑕィ䚸ᩓ஘ィཬ䜃䝯䝋Ẽ㇟䝰䝕䝹䜢⏝䛔䛯ὒୖ㢼ຊ㈨※㔞᥎ᐃᡭἲ䛾㛤Ⓨ㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Development of estimation method for offshore wind energy resources using
microwave radiometer, scatterometer and mesoscale meteorological model䠄◊✲௦⾲⪅ྡ䠅㤶す㻌 ඞಇ㻌 䠄⚄ᡞ኱Ꮫ䞉ᾏ஦⛉Ꮫ◊✲⛉䠅
Katsutoshi Kozai 㻌 䠄Kobe University 䞉Graduate School of Maritime Sciences 䠅䛆せ᪨䛇ὒୖ㢼ຊ㈨※㔞᥎ᐃ䛻䛚䛔䛶ἢᓊᇦ䛷䛿୍⯡䛻WRF䛺䛹䛾䝯䝋Ẽ㇟䝰䝕䝹䛜⏝䛔䜙䜜䜛䛜䚸እὒ䛷䛿㢼㏿᥎ᐃ⢭ᗘ䛾㧗䛔⾨ᫍᦚ㍕䝬䜲䜽䝻Ἴᩓ஘ィ䜔ᨺᑕィ䛜⏝䛔䜙䜜䜛䚹䛸䛣䜝䛜ὒୖ㢼ຊ䛾ᑐ㇟䛸䛺䜛㧗ᗘ䛿⌧ᅾ100m䜢㉺䛘䛶䛚䜚䚸ᩓ஘ィ䜔ᨺᑕィ䛾㢼㏿᥎ᐃ㧗ᗘ10m䛸䛿኱䛝䛺㧗ᗘᕪ䛜Ꮡᅾ䛩䜛䚹ᮏ◊✲䛷䛿㧗ᗘ⿵ṇ䝰䝕䝹䛸䛧䛶LKB, COARE3.0䛺䛹䛾㧗ᗘ⿵ṇ䝰䝕䝹䛻ຍ䛘䚸WRF䛾㧗ᗘᕪ䛻క䛖㢼㏿ᕪ䜢฼⏝䛧䛶ᨺᑕィ㢼㏿䛛䜙㧗ᗘ80m㢼㏿䜢᥎ᐃ䛩䜛⾨ᫍ䛸WRF䜢⤌䜏ྜ䜟䛫䛯㧗ᗘ⿵ṇ䝰䝕䝹䜢ẚ㍑ᑐ㇟䛸䛧䚸⌧ሙ䛾80m㧗ᗘ㢼㏿䛜฼⏝ྍ⬟䛺໭ᾏ䛾FINO3䛾㢼㏿䝕䞊䝍䜢⏝䛔䛶䝰䝕䝹䛾᳨ド䜢⾜䛳䛯䚹Bias䛸RMSE䜢ᇶ‽䛸䛧䛯㢼㏿᥎ᐃ⢭ᗘ䛿WRF䛸ᨺᑕィAMSR2㢼㏿䠇WRF㢼㏿ᕪ䛷䛿䜋䛸䜣䛹ᕪ䛿ぢ䜙䜜䛺䛛䛳䛯䛜䚸኱ẼᏳᐃᗘ䛜Ᏻᐃ䛾᫬䚸WRFཬ䜃AMSR2㢼㏿䠇WRF㢼㏿ᕪ䛿㢼㏿᥎ᐃ⢭ᗘ䛜ୗ䛜䜛䛣䛸䛜᫂䜙䛛䛻䛺䛳䛯䚹

䛆Abstract䛇 In order to estimate offshore wind energy resources the mesoscale model WRF is used in coastal
seas. On the other hand scatterometer and radiometer are used in open seas. However the height of windturbine exceeds 100m above sea level and large wind speed difference exists between 100m and 10m where
scatterometer and radiometer provide wind speed. This study aims the validation of wind speed profile models
such as LKB, COARE3.0, WRF and combination of AMSR2+WRF wind speed difference against in situ windspeeds observed at FINO3 in the North Sea. Accuracy of wind speed based on Bias and RMSE shows nodifferences between WRF and combination of AMSR2+WRF wind speed difference. Especially in case of
stable atmospheric conditions accuracy of WRF and combination of AMSR2+WRF wind speed difference is㻌
degraded.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎

◊✲䛾
ᡂᯝ

ὒୖ㢼ຊ㈨※㔞᥎ᐃ䛻䛚䛔䛶ἢᓊᇦ䛷䛿୍⯡䛻WRF䛺䛹䛾䝯䝋Ẽ㇟䝰䝕䝹䛜⏝䛔䜙䜜䜛䛜䚸እὒ䛷䛿㢼㏿᥎ᐃ⢭ᗘ䛾㧗䛔⾨ᫍᦚ㍕䝬䜲䜽䝻Ἴᩓ஘ィ䜔ᨺᑕィ䛜⏝䛔䜙䜜䜛䚹䛸䛣䜝䛜ὒୖ㢼ຊ䛾ᑐ㇟䛸䛺䜛㧗ᗘ䛿⌧ᅾ100m䜢㉺䛘䛶䛚䜚䚸ᩓ஘ィ䜔ᨺᑕィ䛾㢼㏿᥎ᐃ㧗ᗘ10m䛸䛿኱䛝䛺㧗ᗘᕪ䛜Ꮡᅾ䛩䜛䚹ᮏ◊✲䛾┠ⓗ䛿㢼㏿㧗ᗘ⿵ṇ䝰䝕䝹䛸䛧䛶LKB, COARE3.0䛺䛹䛾㢼㏿㧗ᗘ⿵ṇ䝰䝕䝹䛻ຍ䛘䚸WRF䛾㧗ᗘᕪ䛻క䛖㢼㏿ᕪ䜢฼⏝䛧䛶ᨺᑕィ㢼㏿䛛䜙㧗ᗘ80m㢼㏿䜢᥎ᐃ䛩䜛⾨ᫍ䛸WRF䜢⤌䜏ྜ䜟䛫䛯㧗ᗘ⿵ṇ䝰䝕䝹䜢ẚ㍑ᑐ㇟䛸䛧䚸⌧ሙ䛾80m㧗ᗘ㢼㏿䛜฼⏝ྍ⬟䛺໭ᾏ䛾FINO3䛾㢼㏿䝕䞊䝍䜢⏝䛔䛶䝰䝕䝹䛾᳨ド䜢⾜䛖䛣䛸䛷䛒䜛䚹
䠄䠍䠅ᵝ䚻䛺㧗ᗘ⿵ṇ䝰䝕䝹䠄LKB, COARE3.0, WRF, AMSR2++
WRF㢼㏿ᕪ䠅䛾୰䛷WRF䛿FINO3䛻䛚䛔䛶᭱䜒ప䛔Bias䛸
RMSE䜢♧䛧䛯䚹 WRF䛸AMSR2+WRF㢼㏿ᕪ䛾Bias䛸RMSE
䛿䜋䛸䜣䛹ᕪ䛿ぢ䜙䜜䛺䛛䛳䛯䚹䠄ᅗ䠍ཧ↷䠅䠄䠎䠅AMSR2+WRF㢼㏿ᕪ䛾⢭ᗘ䛿Ᏻᐃ≧ែ䛾᫬ᝏ໬䛧䛯䚹䛣䛾⌮⏤䛸䛧䛶WRF䛻౑⏝䛥䜜䛶䛔䜛MYJ PBL䝇䜻䞊䝮䛻㉳ᅉ䛩䜛䛸⪃䛘䜙䜜䜛䚹䠄ᅗ䠎ཧ↷䠅䠄䠏䠅᪥ᮏ࿘㎶ᾏᇦ䛷䛿୙Ᏻᐃ≧ែ䛜༟㉺䛩䜛䛯䜑䚸AMSR2+WRF㢼㏿ᕪ䛾䝰䝕䝹䛿໭ᾏ䜘䜚㧗䛔᥎ᐃ⢭ᗘ䛜ᮇᚅ䛥䜜䜛䚹

䠏

ᅗ1

FINO3䛻䛚䛡䜛4✀㢮䛾㧗ᗘ⿵ṇ䝰䝕䝹䛾┦ᑐRMSE䛸┦ᑐBiasᅗ2␗䛺䜛኱ẼᏳᐃᗘ䛸㧗ᗘ⿵ṇ䝰䝕䝹䛻ᇶ䛵䛟┦ᑐRMSE䛸┦ᑐBiasᡂᯝᒎ㛤䛾 ୖグ䛷㛤Ⓨ䛧䛯ᡭἲ䛿ᩓ஘ィ㢼㏿䛸䛸䜒䛻㢼㌴䝝䝤㧗ᗘ䠄80䡚100m䠅䛾㢼㏿᥎ᐃ䛻ᇶ䛵䛟ὒୖ㢼ຊ㈨※㔞≧ἣ᥎ᐃ䛻⏝䛔䜙䜜䜛䛣䛸䛜ᮇᚅ䛥䜜䜛䚹― 70 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-29䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅ⅆᫍᆅ⾲䛛䜙䛾LED LIDAR 䜢฼⏝䛧䛯䝎䝇䝖ほ 䛾ᆅୖᶍᨃᐇ㦂㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Ground simulation on dust observation using LED LIDAR from the surface of Mars䠄◊✲௦⾲⪅ྡ䠅 ༓⛅㻌 ༤⣖㻌 䠄༓ⴥᕤᴗ኱Ꮫ䞉ᝨᫍ᥈ᰝ◊✲䝉䞁䝍䞊䠅
Hiroki Senshu 㻌 䠄Chiba Institute of Technology 䞉PERC䠅䛆せ᪨䛇ᡃ䚻䛿ⅆᫍ╔㝣ᶵ䛛䜙䛾䛭䛾ሙほ 䛻䜘䛳䛶䠈䝎䝇䝖䝕䝡䝹䛾ᵓ㐀䜔ෆ㒊䛾䝎䝇䝖䛾ศᕸ䜢ィ 䛩䜛䛣䛸䜢┠ⓗ䛻䠈㏆㊥㞳⏝ᑠᆺLIDAR䛾㛤Ⓨ䜢㐍䜑䛶䛔䜛䠊䝎䝇䝖䝕䝡䝹䛿ኚᙧ䛧䛺䛜䜙⛣ື䛩䜛䛯䜑䠈ほ 䛾䛯䜑䛻䛿㧗᫬㛫䞉✵㛫ศゎ⬟䜢㐩ᡂ䛩䜛ᚲせ䛜䛒䜛䠊䜎䛯᥈ᰝᶵᦚ㍕䛾䛯䜑䛻䛿ᑠᆺ㍍㔞䛷䛺䛡䜜䜀䛺䜙䛺䛔䠊䛣䛾䛯䜑ᮏ◊✲䛷䛿䠈ྡྂᒇᕷ⛉Ꮫ㤋䛾༠ຊ䛾䜒䛸LED LIDAR 䛻䜘䜛ேᕤ❳ᕳ䛾ほ ᐇ⌧ᛶ䜢☜ㄆ䛩䜛ᐇ㦂䜢⾜䛳䛯䠊

䛆Abstract䛇 We are developing small sized and light weight LED LIDAR to observe the dust devils on Mars. To
evaluate the function and performance of the mini LIDAR, we conducted field test in which artificial
tornado at nagoya city science museum is observed by the mini LIDAR.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

㻌 ⅆᫍ䛿◁䛾ᝨᫍ䛷䛒䜛䠊⾲㠃䛿ኳయ⾪✺䜔㢼㣗䠈⇕⑂ປ䛺䛹䛷స䜙䜜䛯◁䠄䝎䝇䝖䠅䛷そ䜟䜜䛶䛔䜛䠊⾲㠃䛻㝈䜙䛪䠈ⅆᫍ䛾኱Ẽ୰䛻䛿ᖖ䛻䝎䝇䝖䛜⯙䛔䠈᫬䛻䛿ᆅ⌫䛛䜙ᆅᙧ䛜ุู䛷䛝䛺䛔䜋䛹䛻䛺䜛. ୍᪉䠈䝎䝇䝖䛿ᖖ䛻኱Ẽ୰䜢ỿ㝆䛩䜛䠊኱Ẽ୰䜢ᖖ䛻䝎䝇䝖䛜⯙䛳䛶䛔䜛≧ែ䛻ಖ䛴䛻䛿䠈㏫䛻䠈⾲㠃䛛䜙኱Ẽ䜈䛾䝎䝇䝖䛾౪⤥䛜ᚲせ䛷䛒䜛䠊䛣䛾౪⤥䝯䜹䝙䝈䝮䛸䛧䛶䛴䜐䛨㢼䠄䝎䝇䝖䝕䝡䝹䠅䛜ᥦ᱌䛥䜜䛶䛔䜛䛜䠈䛭䛾ෆ㒊ᵓ㐀䛿࿘ᅇᶵ䛻䜘䜛⏬ീ䛛䜙䛿ุู䜟䛛䜙䛺䛔䠊䛭䛣䛷ᡃ䚻䛿䠈ⅆᫍ╔㝣ᶵᦚ㍕⏝䛾ᑠᆺLIDAR䜢㛤Ⓨ䛧䠈ⅆᫍᆅ⾲㠃䛛䜙䝎䝇䝖䝕䝡䝹䛾ᵓ㐀䜢ほ 䛩䜛䛣䛸䜢ィ⏬䛧䛶䛔䜛䠊䠄䠍䠅ᮏ◊✲䛷䛿䠈ྡྂᒇᕷ⛉Ꮫ㤋䛾༠ຊ䛾䜒䛸䠈䛂❳ᕳ䝷䝪䛃䛷స䜙䜜䜛ேᕤ❳ᕳ䜢䝎䝇䝖䝕䝡䝹䛻ぢ❧䛶䠈ᑠᆺ LED LIDAR 䜢⏝䛔䛯ᶍᨃほヨ㦂䜢⾜䛳䛯䠄ᅗ䠍䠅䠊䛂❳ᕳ䝷䝪䛃䛷䛿㧗䛥9m䠈ᖜ1m⛬ᗘ䠄㧗䛥䛻䜘䜛䠅䛾ேᕤ❳ᕳ䜢㉸㡢Ἴ䝭䝇䝖䛷Ⓨ⏕䛥䛫䛯Ỉ⁲䛷ྍど໬䛧䛶䛔䜛䠊ேᕤ❳ᕳ䛾䝃䜲䝈䛿䠈䛣䜜䜎䛷䛻ほ 䛥䜜䛶䛔䜛䝎䝇䝖䝕䝡䝹䠄ᖜᩘ10m䠅䜘䜚䛿ᑠ䛥䛟䠈䜎䛯Ⓨ⏕ሙᡤ䛿ᅛᐃ䛥䜜䛶䛔䜛䠊ヨ㦂䛷䛿LIDAR䛾ど⥺᪉ྥ䜢᣺䜛䛣䛸䛷䝎䝇䝖䝕䝡䝹䛜ど⥺䜢㏻㐣䛧䛯䛣䛸䜢ᶍᨃ䛩䜛䠊䛣䜜䛻䜘䛳䛶䠈ᑐ㇟䛜㐠ື䛧䛶䛔䛶䜒ᙧ≧䜢ほ 䛷䛝䜛䛣䛸䜢☜ㄆ䛩䜛䠊䠄䠎䠅௒ᅇ䛾ほ 䛻䜘䜚䠈❳ᕳ䛾䝃䜲䝈䛜LIDAR 䛾ほ 䛛䜙ồ䜎䜛䛣䛸䠈㤳᣺䜚ほ 䛻䜘䛳䛶❳ᕳ䛜ど⥺ୖ䛻ධ䛳䛶䛝䛯䛣䛸䜢᳨▱䛷䛝䜛䛣䛸䛜☜ㄆ䛷䛝䛯䠊䛧䛛䛧䠈❳ᕳ䛿⫗║䛷䜒ぢ䛘䜛䜋䛹⃰䛔䝭䝇䝖䛛䜙స䜙䜜䛶
ᅗ1 ほ ヨ㦂䛾ᵝᏊ䠊ዟ䛻ぢ䛔䜛䛯䜑䠈ṧᛕ䛺䛜䜙୰ኸ䛻䛒䜛䛿䛪䛾䛂┠䛃䜎䛷䛿᳨▱䛩䜛䛣䛸䛜䛷䛝䛘䜛䛾䛜ேᕤ❳ᕳ䛶䛔䛺䛔䠊䛣䜜䛿ほ 䝍䞊䝀䝑䝖䛾⏕ᡂ᪉ᘧ䜢ྵ䜑䠈௒ᚋ䛾᳨ウㄢ㢟䛷䛒䜛䠊䠄䠏䠅䛣䛾ヨ㦂䜢㏻䛨䛶䠈㧗᫬㛫䞉✵㛫ศゎ⬟䛾ᑠᆺ LED LIDAR 䛻䜘䜛
ほ 䛛䜙䠈ど⥺ୖ䜢㏻㐣䛩䜛䝎䝇䝖䝕䝡䝹䜢᳨▱䛩䜛஦䛜ྍ⬟䛷䛒䜛䛣䛸䛜☜ㄆ䛷䛝䛯䠊䛧䛛䛧௒ᅇ䛾ヨ㦂䛿᫬㛫䛜㝈䜙䜜䛶䛔䛯䛣䛸䜒䛒䜚䠈䝍䞊䝀䝑䝖䠄❳ᕳ䠅ഃ䛾䝟䝷䝯䝍䜢ኚ䛘䛯ヨ㦂䛿⾜䛖஦䛿䛷䛝䛺䛛䛳䛯䠊ྲྀᚓ䛥䜜䛯䝕䞊䝍䛿⌧ᅾゎᯒ୰䛷䛒䜛䠊ྠ᫬䛻⾜䛳䛯௚䛾ほ 䛛䜙❳ᕳ䜢ᵓᡂ䛩䜛䝭䝇䝖䛾⢏Ꮚ䝃䜲䝈䠈⛣ື㏿ᗘ䠈❳ᕳ䛾ኚᙧ㏿ᗘ➼䜢ồ䜑䠈௒ᅇྲྀᚓ䛥䜜䛯䝕䞊䝍䛸ẚ㍑䛩䜛䛣䛸䛷௒ᚋ䛾 LED LIDAR 䛾 ᅗ2 㤳᣺䜚ほ ᫬䛾䝅䜾䝘䝹ᙉᗘศᕸ䠊䛚䜘䛭10⛊㛫㝸䛷❳ᕳ䛛
㛤Ⓨ䛻䝣䜱䞊䝗䝞䝑䜽䛥䛫䛶䜖䛟ணᐃ䛷䛒䜛䠊䜙䛾䝅䜾䝘䝹䛜᳨▱䛷䛝䛶䛔䜛

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

௒ᅇᚓ䜙䜜䛯ほ 䝕䞊䝍䠈ほ 䛾䝜䜴䝝䜴䛿䠈䜎䛪䛿⌮Ꮫᡂᯝ䛸䛧䛶Ꮫ఍Ⓨ⾲䠈ㄽᩥⓎ⾲䛻⏝䛔䜛䠊௒ᅇほ䛻⏝䛔䛯 LED LIDAR 䜢䝧䞊䝇䛻䠈ⅆᫍ䛷䝎䝇䝖䝕䝡䝹䜢ほ 䛩䜛䛯䜑䛻ᚲせ䛺᮲௳䠄㏦ཷගຠ⋡䜔ほ⠊ᅖ䠈㔜㔞➼䠅䜢᳨ウ䛧䠈௒ᚋ䠈ⅆᫍ╔㝣ᶵ䜈䛾ᦚ㍕ᥦ᱌䛻䛴䛺䛢䛶䜖䛟ணᐃ䛷䛒䜛䠊― 71 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-30䛇P2017-2
䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅GOSAT䛸኱Ẽ㍺㏦䝰䝕䝹䜢⏝䛔䛯CO2䞉CH4⃰ᗘኚືゎᯒ䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Analysis of CO2 and CH4 concentration variations using GOSAT and a transport model䠄◊✲௦⾲⪅ྡ䠅 ୹⩚㻌 ὒ௓㻌 䠄Ẽ㇟ᗇẼ㇟◊✲ᡤ䠅Yosuke Niwa 㻌 䠄Meteorological Research Institute䠅䛆せ᪨䛇ᐊຠᯝ䜺䝇ほ ᢏ⾡⾨ᫍGOSAT䛻䜘䜛኱Ẽ୰䛾CO2ほ 䛿䚸䛭䛾ᗈ⠊ᅖ䛻䜟䛯䛳䛶ほ 䛩䜛≉ᛶ䛻䜘䜚䚸ᆅ⾲㠃䛻䛚䛡䜛CO2྾཰䞉᤼ฟ᥎ᐃ䛻䛸䛳䛶᭷⏝䛺䝕䞊䝍䛷䛒䜛䚹䜎䛯䚸GOSAT䛾⇕㉥እ䠄TIR䠅䝉䞁䝃䞊䛻䜘䜛኱Ẽ
CO2 ⃰ᗘ䛾㖄┤䝥䝻䝣䜯䜲䝹ほ 䛿䚸ᆅ⾲䛛䜙ୖ✵䜈䛾CO2 ㍺㏦㐣⛬䛾ゎᯒ䛻䛸䛳䛶䜒᭷⏝䛷䛒䜛䚹䛧䛛䛧䚸GOSAT䛾TIR䝉䞁䝃䞊䛻䜘䜛ほ 䛻䛿኱䛝䛺୙☜ᐃᛶ䛜Ꮡᅾ䛩䜛䚹ᮏ◊✲䛷䛿䚸≉䛻ᑐὶᅪୗ㒊䛛䜙୰㒊䛻䛛䛡䛶䛾㧗ᗘ㡿ᇦ䛻╔┠䛧䚸⯟✵ᶵ䛻䜘䜛ᐇほ 䝕䞊䝍䜢⏝䛔䛶GOSAT䛾TIR䝉䞁䝃䞊䛾ほ 䝕䞊䝍䛻Ꮡᅾ䛩䜛䝞䜲䜰䝇䛾ᐃ㔞ⓗ䛺ホ౯䜢⾜䛳䛯䚹䛭䛾⤖ᯝ䚸TIR䝕䞊䝍䛻䛿⣔⤫ⓗ䛺1-1.5%䛾㈇䝞䜲䜰䝇䛜Ꮡᅾ䛩䜛䛣䛸䛜ศ䛛䛳䛯䚹䛣䛾䝞䜲䜰䝇䛿኱Ẽ㍺㏦䝰䝕䝹NICAM-TM䛸䛾ẚ㍑䛻䜘䛳䛶䜒☜ㄆ䛥䜜䛯䚹

䛆Abstract䛇 The satellite GOSAT would provide valuable information of sources and sinks of CO2 at the earth
surface owing to its wide observation coverage. Furthermore, vertical profiles of atmospheric CO2
obtained by the TANSO-TIR sensor onboard GOSAT are useful to evaluate vertical transport ofCO2. However, there are significant uncertainties in the TIR data. This study has quantified thebiases of the TIR data with a focus on the lower- to mid-troposphere, using in-situ aircraft data. The
results indicate 1-1.5% negative biases, which is also confirmed by comparison with NICAM-TM.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

ᐊຠᯝ䜺䝇ほ ᢏ⾡⾨ᫍGOSAT䛻ᦚ㍕䛥䜜䛯⇕㉥እ䠄TIR䠅䝉䞁䝃䞊䛻䜘䜛኱ẼCO2⃰ᗘ䛾ほ ್䠄䝸䝖䝸䞊䝞䝹್䠅䛻䛿᭷ព䛺ㄗᕪ䛜Ꮡᅾ䛩䜛䚹䛭䛣䛷ᮏ◊✲䛷䛿䚸⢭ᗘ䛾㧗䛔⯟✵ᶵ䛻䜘䜛ᐇほ 䝕䞊䝍䜢⏝䛔
䛶TIR䝉䞁䝃䞊䛾䝸䝖䝸䞊䝞䝹್䛻Ꮡᅾ䛩䜛䝞䜲䜰䝇䛾ホ౯䜢⾜䛳䛯䚹䛣䛣䛷䚸⯟✵ᶵ䝕䞊䝍䛿Ẹ㛫⯟✵ᶵ䜢⏝䛔䛯 ᐊຠᯝ䜺䝇ほ 䝥䝻䝆䜵䜽䝖CONTRAIL䛻䜘䜛CO2㐃⥆ほ 䠄Machida et al., 2008; Sawa et al.,2012䠅䛻䜘䜛䜒䛾䜢⏝䛔䛯䚹䜎䛯䚸CONTRAIL䝕䞊䝍䛻䜘䛳䛶᭱㐺໬䛥䜜䛯኱Ẽ㍺㏦䝰䝕䝹NICAM-TM
䠄Niwa et al., 2011䠅䛻䜘䜛3ḟඖ⃰ᗘศᕸ䛸䛾ẚ㍑䜢䛸䛚䛧䛶䚸TIR䝕䞊䝍䛾䝞䜲䜰䝇್䛻ᑐ䛩䜛෌ホ౯䜢⾜䛳䛯䚹䠄䠍䠅 CONTRAIL䛻䜘䜛⯟✵ᶵほ 䝕䞊䝍䛸䛾ẚ㍑䛾⤖ᯝ䚸㻌 㻌 㻌 ᑐὶᅪୗ㒊䛛䜙୰㒊䛻䛚䛔䛶ᚓ䜙䜜䛯TIR䝉䞁䝃䞊䛾㻌 㻌 㻌 䝸䝖䝸䞊䝞䝹್䛻䛿1-1.5%䛾⣔⤫ⓗ䛺㈇䛾䝞䜲䜰䝇䛜㻌 㻌 㻌 Ꮡᅾ䛩䜛䛣䛸䛜䜟䛛䛳䛯䚹䜎䛯䚸䛣䛾䝞䜲䜰䝇䛿
541-398hPa䛻䛚䛔䛶᭱኱䛸䛺䜚䚸໭༙⌫୰⦋ᗘ䛷䛿㻌 㻌 㻌 ⛅䛛䜙෤䛻䛛䛡䛶䛾ᮇ㛫䜘䜚᫓䛛䜙ኟ䛻䛛䛡䛶䛾ᮇ㛫㻌 㻌 㻌 䛻኱䛝䛟䛺䜛䛣䛸䛜᫂䜙䛛䛸䛺䛳䛯䚹㻌㻌㻌䠄䠎䠅 ኱Ẽ㍺㏦䝰䝕䝹NICAM-TM䛻䜘䜛CO2⃰ᗘ䛾3ḟඖ㻌 㻌 㻌 䝕䞊䝍䛸䛾ẚ㍑䛾⤖ᯝ䚸䝞䜲䜰䝇⿵ṇ್䛜໭⦋㻠㻜ᗘ㻌㻌 㻌 㻌 䛛䜙㻢㻜ᗘ䛻䛛䛡䛶䛿ᴫ䛽ጇᙜ䛷䛒䜛䛣䛸䛜ศ䛛䛳䛯䚹㻌㻌 㻌 㻌 ୍᪉䚸ᑐὶᅪ୰㒊䛻䛚䛡䜛༡⦋㻞㻜ᗘ䛛䜙໭⦋㻞㻜ᗘ㻌㻌 㻌 㻌 䛻䛛䛡䛶䛾㡿ᇦ䛻䛴䛔䛶䛿䚸䝸䝖䝸䞊䝞䝹್䛸䝰䝕䝹್㻌㻌 㻌 㻌 䛸䛾ᕪ䛜⤒ᗘ᪉ྥ䛻኱䛝䛟␗䛺䛳䛶䛔䜛䛣䛸䛜ศ䛛䜚㻌㻌 㻌 㻌 䠄ᅗ㻝䠅䚸ᙜヱᆅᇦ䛷ᮾ༡䜰䝆䜰䛾䜏䜹䝞䞊䛩䜛⯟✵ᶵ㻌
2010ᖺ7᭶䛻䛚䛡䜛GOSAT䛾TIR䝉䞁䝃䞊㻌 㻌 㻌 䝕䞊䝍䛷䛿䚸䝞䜲䜰䝇⿵ṇ䛜୙༑ศ䛷䛒䜛䛣䛸䛜♧၀㻌 ᅗ1䛻䜘䜛䝸䝖䝸䞊䝞䝹್䛸኱Ẽ㍺㏦䝰䝕䝹
㻌 㻌 㻌 䛥䜜䛯䚹
NICAM-TM䛻䜘䜛CO ⃰ᗘィ⟬್䛸䛾ᕪ䚹ୖ
2ẁ䛿682hPa㠃䚸ୗẁ䛿314hPa㠃䚹

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

ᮏ◊✲䛷NICAM-TM䝰䝕䝹䜢⏝䛔䛶ホ౯䛧䛯GOSAT/TANSO-FTS䛾TIR䝞䞁䝗䛾CO2䝕䞊䝍䛾䝞䜲䜰䝇⿵ṇ್䛿GOSAT䛾䝕䞊䝍䝴䞊䝄䞊䛻බ㛤䛥䜜䛶䛚䜚䚸TIR䝞䞁䝗䛾CO2䝕䞊䝍䜢⏝䛔䛯◊✲䛻ά⏝䛥䜜䛶䛔䜛䚹䛥䜙䛻䚸ᮏ◊✲䛷ᚓ䜙䜜䛯TIR䝞䞁䝗䛾CO2䝕䞊䝍䛾䝕䞊䝍㉁䛾ホ౯⤖ᯝ䜢䜒䛸䛻䛧䛶䚸⃰ᗘᑟฟ䜰䝹䝂䝸䝈䝮䛾ᨵⰋ䛜ᅗ䜙䜜䜛䛣䛸䛜ᮇᚅ䛥䜜䜛䚹― 72 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-31䛇P2017-2
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅᥈ᰝᶵ䝸䝰䞊䝖䝉䞁䝅䞁䜾䝕䞊䝍䜢⏝䛔䛯ⅆᫍ኱Ẽ⎔ቃ䛾◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅A study on the Martian atmospheric environment using remote sensing data obtainedby Mars orbiter missions䠄◊✲௦⾲⪅ྡ䠅 㔝ཱྀ㻌 ඞ⾜㻌 䠄ዉⰋዪᏊ኱Ꮫ䠅
Katsuyuki Noguchi 㻌 䠄Nara Women’s University䠅䛆せ᪨䛇ᮏ◊✲䛷䛿䚸⡿ᅜ䛾ⅆᫍ᥈ᰝᶵMars Reconnaissance Orbiter䠄MRO䠅ᦚ㍕䛾㉥እศගィMars Climate
Sounder 䠄MCS䠅䛻䜘䜛ほ 䛛䜙ᚓ䜙䜜䛯Ẽ 䚸Ỉị㞼䚸䝎䝇䝖䛾ྛ≀⌮㔞䛾⤫ィⓗ䛺ゎᯒ䜢⾜䛺䛖䛣䛸䛷䚸䛭䜜䜙䛾┦஫స⏝䜢᫂䜙䛛䛻䛩䜛䛸ඹ䛻ⅆᫍẼ㇟䞉Ẽೃ䛻୚䛘䜛ᙳ㡪䜢ホ౯䛩䜛䛣䛸䜢┠ⓗ䛸䛩䜛䚹๓ᖺᗘ䜎䛷䛻䚸༡༙⌫䛾≉ᚩⓗ䛺ᆅᙧ䛾୍䛴䛷䛒䜛䝦䝷䝇┅ᆅ௜㏆䛻䛚䛔䛶Ẽ 䛾ୖ᪼䞉Ỉị㞼䛾ῶᑡ䞉䝎䝇䝖䛾ቑຍ䛸ゝ䛳䛯ഴྥ䛜ẖᖺ⌧䜜䛶䛔䜛䛣䛸䜢᫂䜙䛛䛻䛧䛯䚹௒ᖺᗘ䛿䚸ྛኚᩘ䛾ᮾす᪉ྥ䛾┦㛵ಀᩘ䜢ィ⟬䛧䛶䚸ᐃ㔞ⓗ䛺ホ౯䜢ᐇ᪋䛧䛯䚹䛆Abstract䛇 This study aims to reveal the nature of dust, clouds and thermal structures (temperature) and theirinteractions in the Martian atmosphere by statistical analyses of remote sensing data mainly obtained byMartian explorers’ data. We utilized the observational results obtained by Mars Climate Sounder (MCS)
onboard Mars Reconnaissance Orbiter (MRO), which was launched in 2005 by NASA. We calculated thecorrelation coefficients of longitudinal distributions of each pair of water ice clouds, dust and temperaturein the Martian atmosphere.

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ⅆᫍ䛿ᆅ⌫䛾୰ᒙ኱Ẽ䛻┦ᙜ䛩䜛⛬ᗘ䛾኱Ẽ䜢ᣢ䛳䛶䛔䜛䚹ᆅ⌫኱Ẽ䛷ᚓ䜙䜜䛯▱ぢ䜢ඖ䛻ⅆᫍ䛷ほ 䛥䜜䛯኱Ẽ⌧㇟䛾Ⓨ⏕䝯䜹䝙䝈䝮䜢ゎ᫂䛩䜛䛣䛸䛿䚸ᑗ᮶䛾↓ே䞉᭷ே᥈ᰝ䛻ᚲせ䛺ⅆᫍ኱Ẽ⎔ቃ䝕䞊䝍䛾ධᡭ䛻␃䜎䜙䛪䚸ᆅ⌫኱Ẽ䛷䛾▱ぢ䛜䛭䛾௚䛾ᝨᫍ䛻ᑐ䛧䛶䜒㏻⏝䛩䜛ᬑ㐢ⓗ䛺ἲ๎䛛䛹䛖䛛䜢ヨ䛩ୖ䛷䜒㔜せ䛷䛒䜛䚹ᮏ◊✲䛷䛿䚸⡿ᅜ䛾ⅆᫍ᥈ᰝᶵMars Reconnaissance Orbiter䠄MRO䠅ᦚ㍕䛾㉥እศගィ
Mars Climate Sounder 䠄MCS䠅䛻䜘䜛ほ 䛛䜙ᚓ䜙䜜䛯Ẽ 䚸Ỉị㞼䚸䝎䝇䝖䛾ྛ≀⌮㔞䛾⤫ィⓗ䛺ゎᯒ䜢⾜䛺䛖䛣䛸䛷䚸䛭䜜䜙䛾┦஫స⏝䜢᫂䜙䛛䛻䛩䜛䛸ඹ䛻ⅆᫍẼ㇟䞉Ẽೃ䛻୚䛘䜛ᙳ㡪䜢ホ౯䛩䜛䛣䛸䜢┠ⓗ䛸䛧䛶䛔䜛䚹௒ᖺᗘ䛿䚸1ⅆᫍᖺศ䛾䝕䞊䝍䜢㏣ຍ䛧䚸᪂䜰䝹䝂䝸䝈䝮䛻ᇶ䛵䛟䝕䞊䝍䜢౑⏝䛧䛶ゎᯒ䛧䛯䚹䠄䠍䠅䝎䝇䝖䚸Ẽ 䚸Ỉị㞼䛾䛔䛪䜜䛛䛾2ኚᩘ䛻ᑐ䛧䛶䚸⤒ᗘ᪉ྥ䛾┦㛵ಀᩘ䜢ィ⟬䛧䚸䛭䛾⦋ᗘ䠉㧗ᗘศᕸ䜢ゎᯒ䛧䜎䛧䛯䠄ᅗ䠍䠅䚹Ẽᅽ [Pa](㧗ᗘ)䝎䝇䝖 vs Ẽ䠄䠎䠅䝦䝷䝇┅ᆅ䛾䛒䜛⦋ᗘᖏ䠄༡⦋60䠉30ᗘ䠅௜㏆䛷䛿䚸䝎䝇䝖䛸Ẽ 䛻ṇ䛾┦㛵䚸Ỉị㞼䛸Ẽ 䛾㛫䛻㈇䛾┦㛵䛜ぢ䜙䜜䜎䛧䛯䚹ᚑ䛳䛶䚸䛂䝎䝇䝖䛾ቑຍ䛜Ẽ ୖ᪼䜢௓䛧䛶Ỉị㞼䛾ῶᑡ䜢ᘬ䛝㉳䛣䛩䛃䛸䛔䛖ゎ㔘䛸▩┪䛜䛺䛔䛣䛸䛜♧䛥䜜䜎䛧䛯䚹䠄䠏䠅୍᪉䚸䝎䝇䝖䛸Ỉị㞼䛜ṇ┦㛵䜢ᣢ䛴㡿ᇦ䛜᪂䛯䛻ぢ䛴䛛䜚䜎䛧䛯䚹䛣䛾䜘䛖䛺㡿ᇦ䛷䛿䚸䝎䝇䝖䛜จ⤖᰾䛾ᙺ๭䜢ᣢ䛴Ⅽ䛻䚸Ỉị㞼䛜ቑຍ䛧䛶䛔䜛ྍ⬟ᛶ䛜䛒䜚䜎䛩䚹Ỉị㞼 vs Ẽ䝎䝇䝖 vs Ỉị㞼⦋ᗘⅆᫍ኱Ẽ䛾Ỉị㞼䚸Ẽ䚸䝎䝇䝖

ᅗ1 䛾䛔䛪䜜䛛2ኚᩘ䛾⤒ᗘ᪉ྥ䛾
┦㛵ಀᩘ䚹

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ᡂᯝᒎ㛤䛾
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ᮏ◊✲䛷ᐃ㔞ⓗ䛻᫂䜙䛛䛻䛺䛳䛯ྛ≀⌮㔞䛾┦㛵䜢ඖ䛻䚸䛣䜜䜎䛷䛾ᡂᯝ䛸ే䛫䛶ᩘ್䝰䝕䝹䛸䛾ẚ㍑䛻
฼⏝䛩䜛஦䜢᳨ウ䛧䛶䛔䜎䛩䚹― 73 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-32䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅⾨ᫍ⏬ീฎ⌮䛾䛯䜑䛾ᨺᑕఏ㐩䝰䝕䝹䛾᳨ド㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Validation of Radiative Transfer Models for Satellite Image Processing䠄◊✲௦⾲⪅ྡ䠅 㣤಴㻌 ၿ࿴㻌 䠄ᘯ๓኱Ꮫ䞉⌮ᕤᏛ◊✲⛉䠅
Yoshikazu Iikura 㻌 䠄Hirosaki University 䞉Graduate School of Science and Technology䠅⾨ᫍ⏬ീ䛛䜙᭷⏝䛺᝟ሗ䜢ྲྀ䜚ฟ䛩䛻䛿䚸኱Ẽ䜔ᆅᙧ䛾ᙳ㡪䜢⿵ṇ䠄኱Ẽ䞉㝜ᙳ⿵ṇ䠅䛩䜛ᚲせ䛜䛒䜛䚹⿵ṇ䛾䛯䛆せ᪨䛇 䜑䚸䛔䛟䛴䛛䛾ᨺᑕఏ㐩䝰䝕䝹䛜㛤Ⓨ䞉බ㛤䛥䜜䛶䛔䜛䛜䚸ฟຊ䛩䜛኱Ẽ䝟䝷䝯䞊䝍䛾ᐃ⩏➼䛻㐪䛔䛜䛒䜚䚸฼⏝䛻䛿ὀព䛜ᚲせ䛷䛒䛳䛯䚹䜎䛯䚸⾨ᫍ⏬ീฎ⌮䛾䛯䜑䛻ᨺᑕఏ㐩䝰䝕䝹䛾ධฟຊ䜢ຠ⋡䜘䛟⾜䛖䛯䜑䛻䛿䛭䛾⮬ື໬䛜୙ྍḞ䛸䛺䜛䚹ᮏ◊✲䛷䛿䚸⾨ᫍ⏬ീฎ⌮䛾䛯䜑䛾ィ⟬ᶵ⎔ቃ䜢Docker䝁䞁䝔䝘䛸䛧䛶ᵓ⠏䛧䚸Docker Hub䛻බ㛤䛧䛯䚹䝁䞁䝔䝘䛿Linux䛰䛡䛷䛿䛺䛟Mac䜔Window䛷䜒฼⏝䛩䜛䛣䛸䛜䛷䛝䜛䚹
Atmospheric and illumination effects should be corrected when extracting useful information from

䛆Abstract䛇 satellite images. For this purpose, some radiative transfer codes (RTCs) could be utilized but cautions
are needed because of the difference in their definitions of the resulting atmospheric parameters.
Automatic processing is also needed for the efficient correction. In this research, computer environment
for satellite image processing are constructed as a Docker container and put in open source repository(Docker Hub), which are available not ony on Linux but also on Mac and Windows.

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⾨ᫍ⏬ീ䛛䜙᭷⏝䛺᝟ሗ䜢ྲྀ䜚ฟ䛩䛻䛿䚸኱Ẽ䜔ᆅᙧ䛾ᙳ㡪䜢⿵ṇ䛩䜛ᚲせ䛜䛒䜛䚹䛣䜜䜎䛷䛻䚸䛔䛟䛴䛛䛾ᨺᑕఏ㐩䝰䝕䝹䛜㛤Ⓨ䞉බ㛤䛥䜜䛶䛔䜛䛜䚸ฟຊ䛩䜛኱Ẽ䝟䝷䝯䞊䝍䛾ᐃ⩏➼䛻㐪䛔䛜䛒䜚䚸฼⏝䛻䛿ὀព䛜ᚲせ䛷䛒䛳䛯䚹䜎䛯䚸㉳అ䛾䛒䜛ᆅᙧ䛷㔜せ䛸䛺䜛ኳ✵ග䛾␗᪉ᛶ䛺䛹䛾ྲྀ䜚ᢅ䛔䛻䛴䛔䛶䛿䚸ᐇ䝕䞊䝍䛻䜘䜛᳨ド䜢ྲྀ䜚ධ䜜䜛ᚲせ䛜䛒䜛䚹㻌 ᮏ◊✲䛷䛿䚸௦⾲ⓗ䛺ᨺᑕఏ㐩䝰䝕䝹䛾ฟຊ㛫䛾ᩚྜᛶ䜢䝏䜵䝑䜽䛧䚸㐪䛔䛜䛒䜜䜀ྛ䝟䝷䝯䞊䝍䛾ᐃ⩏䛚䜘䜃ィ⟬᪉ᘧ䛻㋃䜏㎸䜣䛷ゎ᫂䜢⾜䛖䚹䛥䜙䛻䚸༓ⴥ኱Ꮫ䛷⾜䜟䜜䛶䛔䜛኱Ẽ䝟䝷䝯䞊䝍䛾ほ ⤖ᯝ䛸䛾ᩚྜᛶ䛻䛴䛔䛶䜒᳨ウ䜢ຍ䛘䚸䝰䝕䝹䛾ᨵၿ䛜ᚲせ䛛䛹䛖䛛䛾᳨ウ䜢⾜䛖䚹᫖ᖺᗘ䛻බ㛤䛧䛯⾨ᫍ⏬ീฎ⌮䝥䝻䜾䝷䝮䜢฼⏝䛩䜛䛻䛿኱Ẽ䛾ᨺᑕఏ㐩䜀䛛䜚䛷䛺䛟䚸⏬ീฎ⌮䚸ᩘ್ィ⟬䚸ᆅ⌮᝟ሗ䚸ᶵᲔᏛ⩦䛻㛵㐃䛩䜛䝷䜲䝤䝷䝸䛚䜘䜃䛭䜜䜙䜢ᐇ⿦䛩䜛䜸䝨䝺䞊䝔䜱䞁䜾䝅䝇䝔䝮䜔䝥䝻䜾䝷䝭䞁䜾ゝㄒ䛜ᚲせ䛸䛺䜛䚹䛧䛯䛜䛳䛶䚸⾨ᫍ⏬ീฎ⌮䛾◊✲⪅䛜ከᵝ䛺ィ⟬ᶵ⎔ቃ䛾䜒䛸䛷฼⏝䛩䜛䛻䛿䛛䛺䜚䛾ᅔ㞴䛜ண᝿䛥䜜䜛䚹䛣䛾ၥ㢟䛻ᑐ䛩䜛ゎỴ⟇䛸䛧䛶䚸ィ⟬ᶵ⎔ቃ䜢䝁䞁䝔䝘໬䛩䜛᪉ἲ䛜⪃䛘䜙䜜
䜛䚹OS䛸䛧䛶䛿Linux䜢฼⏝䛩䜛䛣䛸䛻䛺䜛䛜䚸᧯స䛩䜛ィ⟬ᶵ䛸䛧䛶䛿
Mac䠄ᅗ䠍䠅䜔Windows䜢౑䛖䛣䛸䛜䛷䛝䜛䚹ᇶᮏⓗ䛺฼⏝ἲ䛸䛧䛶䛿䚸ᅗ䠎䛻♧䛩䜘䛖䛻䝁䞁䝔䝘䜢䜲䝯䞊䝆䛛䜙⏕ᡂ(create)䛧䚸㉳ື(start)䛩䜛䚹
䝩䝇䝖ィ⟬ᶵ䛾➃ᮎୖ䛷ᑐヰⓗ䛻㉳ື䛧䠄䜸䝥䝅䝵䞁-it䠅䚸⎔ቃ䜢タᐃ䛧䚸䛭䜜䜢䜲䝯䞊䝆䛸䛧䛶ಖᏑ䛧(docker commit)䚸බ㛤䝸䝫䝆䝖䝸䛻䜰䝑䝥䝻䞊䝗(push)䛩䜛䛣䛸䜒䛷䛝䜛䚹䜲䝯䞊䝆䛿ᇶᮏ䛸䛺䜛䜲䝯䞊䝆䛛䜙䛾ኚ᭦䜢䛒䜙䛛䛨䜑䝣䜯䜲䝹(Dockerfile)䛻グ㏙䛧ᵓ⠏(build)䛩䜛䛣䛸䜒䛷䛝䜛䚹௨ୗ䛻౛䜢♧䛩䚹㻌 FROM ubuntu
㻌 WORKDIR /app
㻌 ADD app /app
㻌 RUN yum install –y make gcc-gfortran libgfortran㻌 RUN wget https://bootstrap.pypa.io/get-pip.py
㻌 RUN python get-pip.py && pip install numpy
㻌 WORKDIR source_6S
㻌 RUN make && make clean && mv sixsV2.1 /usr/bin
㻌 RUN rm -fr /app/source_6S

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Docker for Mac

6S⏝䛾䝁䞁䝔䝘䛾సᡂ」ᩘ䛾䝕䜱䝇䝖䝸䝡䝳䞊䝅䝵䞁䠄ubuntu,centOS,conda䠅䛻ᑐᛂ䛧䛯⾨ᫍ⏬ീฎ⌮䛸RTC⏝䛾Docker䜲䝯䞊䝆
䜢Docker Hub 䠄https://hub.docker.com/r/iikura/䠅䛻බ㛤䛧䛯䚹⾨ᫍ⏬ീฎ⌮⏝䛻䛴䛔䛶䛿Dockerfile䜢Github(https://github.com/y-iikura?tab=repositories)䛻බ㛤䛧䛯䛾䛷䝣䜯䜲䝹䛾సᡂ䛸䜲䝯䞊䝆䛾సᡂ䜢䜢䝸䞁䜽䛥䛫䜛䛣䛸䛜䛷䛝䜛䠄⮬ື໬䝡䝹䝗䠅䚹― 74 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-33䛇P2017-3
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅✵㛫䝕䞊䝍䛻ᇶ䛵䛔䛯ᮍ᮶ᆅᇦ䝕䝄䜲䞁⛉Ꮫ䛾ヨ⾜ⓗ᳨ウ㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Trial study of Future Regional Design Science based on spatial data䠄◊✲௦⾲⪅ྡ䠅 ᑠᯘ㻌 㐩᫂㻌 䠄༓ⴥ኱Ꮫ኱Ꮫ㝔䞉ᅬⱁᏛ◊✲⛉䠅
Tatsuaki Kobayashi 㻌 䠄Chiba University 䞉Graduate School of Horticulture 䠅䛆せ᪨䛇㻌 ༓ⴥ኱Ꮫ䛿ᅜ㝿䝥䝻䜾䝷䝮Future Earth䛻ຍ┕䛧䚸㣗䞉೺ᗣ䞉⎔ቃ䜢䜻䞊䝽䞊䝗䛸䛧䛶ᩍ⫱◊✲䜢㐍䜑䜛䛣䛸䛻䛺䛳䛯䚹ᮏ◊✲䛷䛿䚸ཎⓎ஦ᨾ䛻䜘䜛㑊㞴༊ᇦ䛜ゎ㝖䛥䜜䛯⚟ᓥ┴ᕝಛ⏫ᒣᮌᒇᆅ༊䜢䜿䞊䝇䝇䝍䝕䜱䛸䛧䛶䚸GIS䜢⏝䛔䛶ᗈ䛜䜚䛒䜛䝣䞊䝗䝇䜿䞊䝥䚸䝦䝹䝇䝇䜿䞊䝥䚸䜶䝁䝇䜿䞊䝥䜢⾲⌧䛧䚸ᑓ㛛ᐙ䛾ຊ䜢೉䜚䛺䛜䜙䚸ఫẸ䛜ᐙ᪘䛠䜛䜏䛷⎔ቃ䛻䛴䛔䛶⪃䛘䚸⮬ศ䛯䛱䛾ᨾ㒓෌⏕䜢䝕䝄䜲䞁䛩䜛♫఍ᡭἲ䛻䛴䛔䛶᳨ウ䛧䛯䚹䛆Abstract䛇 Chiba University joined the international program Future Earth and decided to pursue education
and research with food, health and environment as key words. In this study, GIS was used as a case study ofFukushima Prefecture Kawamata Town Yamakiya district where evacuation area due to nuclear accident was
released, expressing spread food scape, health scape and ecological scape, while borrowing the expert's
power, The resident considered about the environment with family membership and examined the social
method of designing their hometown revitalization.

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ཎⓎ஦ᨾ䛻䜘䜛㑊㞴༊ᇦ䛜ゎ㝖䛥䜜䛯⚟ᓥ┴ᕝಛ⏫ᒣᮌᒇᆅ༊䜢䜿䞊䝇䝇䝍䝕䜱䛸䛧䛶䚸GIS䜢⏝䛔䛶ᗈ䛜䜚䛒䜛䝣䞊䝗䝇䜿䞊䝥䚸䝦䝹䝇䝇䜿䞊䝥䚸䜶䝁䝇䜿䞊䝥䜢⾲⌧䛧䚸ᑓ㛛ᐙ䛾ຊ䜢೉䜚䛺䛜䜙䚸ఫẸ䛜ᐙ᪘䛠䜛䜏䛷⎔ቃ䛻䛴䛔䛶⪃䛘䚸⮬ศ䛯䛱䛾ᨾ㒓෌⏕䜢䝕䝄䜲䞁䛩䜛♫఍ᡭἲ䛻䛴䛔䛶᳨ウ䛧䛯䚹ᮏᖺ䛿䚸᳃ᯘ䛻䛴䛔䛶௒ᚋ䛾ᨺᑕ⥺⎔ቃ䜢ண 䛩䜛䛸䛸䜒䛻䚸GIS䝕䞊䝍䜢ᇶ♏䛻䛧䛯⌧≧䛾⿕᭚≧ἣ䛾᥎ᐃ䜢⾜䛳䛯䚹ᑐ㇟⪅
3ྡ䛾ᩜᆅ䜔㟈⅏๓ᚋ䛷䛾⾜ືኚ໬䛻㛵䛧䚸䜰䞁䜿䞊䝖䜔⪺䛝ྲྀ䜚䜢⾜䛳䛯䚹ᑐ㇟⪅䛾ᡤ᭷ᆅ䜢୰ᚰ䛻䚸䝩䝑䝖䝇䝫䝑䝖䝣䜯䜲䞁䝎䞊䜢⏝䛔䛶ᒃఫᆅ༊䛾✵㛫⥺㔞⋡䝬䝑䝥䜢సᡂ䛧䚸እ㒊⿕᭚㔞䜔ෆ㒊⿕᭚㔞䜢᥎ᐃ䛧䛯䚹䠄䠍䠅⌧ᅾ䛾⾜ື䝟䝍䞊䞁䛷ᒣ⳯㢮䜢ᖺ䛻୍ᅇ௨ୗ䛧䛛ᦤྲྀ䛧䛺䛔⏕ά䛻䛚䛔䛶䚸㏣ຍ⿕䜀䛟⥺㔞䛿䚸㛗ᮇ┠ᶆ䛸䛥䜜䛶䛔䜛ᖺ㛫1mઈ๓ᚋ䛾್䛸᥎ᐃ䛥䜜䛯䚹㟈⅏๓䛾䜘䛖䛻᳃ᯘ䛻㢖⦾䛻ฟධ䜚䛧䛯䜚䚸ᒣ⳯䞉䜻䝜䝁㢮䜢᪥ᖖⓗ䛻ᦤྲྀ䛩䜛ሙྜ䛿1mઈ䜢ୖᅇ䜛ྍ⬟ᛶ䛜䛒䜛䚹እ㒊⿕䜀䛟⥺㔞䛿㏣ຍ⿕䜀䛟⥺㔞䛾7๭௨ୖ䛷䛒䜚䚸⿕䜀䛟⥺㔞䛿እ㒊⿕䜀䛟䛻䜘䛳䛶䜒䛳䛸䜒኱䛝䛟ᕥྑ䛥䜜䚸ᨺᑕ⥺㜵ㆤ䛾䛯䜑䛻䛿䚸᪥㡭䛾⾜ື䝟䝍䞊䞁䛜᭱䜒㔜せ䛷䛒䜛䛣䛸䛜䜟䛛䛳䛯䚹䠄䠎䠅㟈⅏๓䛾䜘䛖䛻ಶே䛷᥇ྲྀ䜢䛩䜛ᒣ⳯䜔䜻䝜䝁㢮䜢ᦤྲྀ䛩䜛ሙྜ䚸ෆ㒊⿕䜀䛟䛾䝸䝇䜽䜒㧗䜎䜛䚹䛧䛛䛧䚸ᒣ⳯䞉䜻䝜䝁㢮䜢䜅䛟䜑䛯㣗஦䜢୍㣗ศྲྀ䜚ධ䜜䛯ሙྜ䛾ෆ㒊⿕䜀䛟⥺㔞䛾ቑຍ䛿䚸඲䛟㣗䜉䛺䛔ሙྜ䛻ẚ䜉䚸⣙ઈ䛸ᚤቑ䛷䛒䜛䛯䜑䚸ദ஦䛺䛹䛷᪪䜢ᴦ䛧䜐䛯䜑䛻䚸ᖺ䛻ᩘᅇ⛬ᗘྲྀ䜚ධ䜜䜛䛾䛷䛒䜜䛿䚸⿕䜀䛟䝸䝇䜽䛻኱䛝䛺ኚ໬䛿䛺䛔䛸⪃䛘䜙䜜䛯䚹䠄䠏䠅᳃ᯘෆ䛷䛾ᚠ⎔䛧䜔䛩䛔ᙧែ䛾Cs137䛸䚸ᶞᮌᮌ㒊䜔ᅵተ䛻୙ື໬䛥䜜䜛Cs137䛾ື䛝䜢ண 䛧䛯䚹䛔䛪䜜䛾ண 䛷䜒䚸௒ᚋ⣙30ᖺ䛿ᶞᮌᮌ㒊䛻䛚䛡䜛Cs137䛾୙ື໬䠙⵳✚䛜㐍⾜䛧䚸䛭䛾ᚋ䛿Cs137䛿≀⌮ⓗ༙ῶᮇ䛻ᚑ䛳䛶ῶᑡ䛩䜛䛸䛔䛖⤖ᯝ䛸䛺䛳䛯䚹௒ᅇ䛾⤖ᯝ䛛䜙䛿䚸௒ᚋ⣙30ᖺ䛿ᮦ䛾ởᰁ䛜㐍䜐䛯䜑䚸᳝Ⲗཎᮌ➼䛸䛧䛶ᮌᮦ䜢฼⏝䛩䜛䛾䛿ᙜศཝ䛧䛔䛸⪃䛘䜙䜜䜛䚹(4) 䛣䜜䜙䛾ᡂᯝ䜢ሗ࿌䛧䚸௒ᚋ䛾᚟⯆䛻ྥ䛡䛶᳨ウ䛩䜛⌧ᆅ䝽䞊䜽䝅䝵䝑䝥䜢㛤ദ䛧䛯䚹
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䝩䝑䝖䝇䝫䝑䝖䝣䜯䜲䞁䝎䞊䛻䜘䜛✵㛫⥺㔞䝬䝑䝥◊✲ᡂᯝ䛿䚸H30ᖺ3᭶䛻ᕝಛ⏫䛷⾜䜟䜜䛯◊✲ሗ࿌఍䛷⤂௓䛥䜜䚸㑊㞴ゎ㝖ᚋ䛾᚟⯆䛻ྥ䛡䛯ពぢ஺᥮䛜⾜䜟䜜䛯䚹௒ᚋ䚸䛣䛖䛧䛯᝟ሗ䛜᪥ᖖⓗ䛻ᚓ䜙䜜䛶䚸ఫẸ䛾೺ᗣ୙Ᏻ䜢ゎᾘ䛩䜛యไ䛾ᩚഛ䛻䛴䛔䛶䚸⏫
䛻ാ䛝䛛䛡䜛ணᐃ䛷䛒䜛䚹― 75 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-34䛇◊✲఍㻌 ◊✲఍䛂᳜⏕䝷䜲䝎䞊䛾ᬑཬ䜢䜑䛦䛧䛯䝝䞊䝗䜴䜵䜰䛸䜰䝹䝂䝸䝈䝮㛤Ⓨ䛃㻌 Workshop on “Instrumental and algorithm development for better application of vegetation lidars ”䠄◊✲௦⾲⪅ྡ䠅 ᳝ྡ 㐩㞝㻌 䠄༓ⴥ኱ᏛᕤᏛ◊✲㝔䞉⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊වົ䠅
Tatsuo Shiina 䠄Graduate School of Engineering / CEReS, Chiba University)䛆せ᪨䛇᳜⏕䛺䛹䝝䞊䝗䝍䞊䝀䝑䝖䜢ᑐ㇟䛸䛧䛯䝷䜲䝎䞊 ㊥ᢏ⾡䛾ά⏝䛜㐍䜣䛷䛔䜛䛜䚸⿦⨨㠃䚸䝕䞊䝍ゎᯒ䜰䝹䝂䝸䝈䝮㠃䛸䜒䚸◊✲⪅䛾せồ௙ᵝ䛻ᇶ䛵䛟ᨵⰋ䛾వᆅ䛜ከ䛟ṧ䛥䜜䛶䛔䜛䚹ᮏ◊✲఍䛷䛿䚸䝷䜲䝎䞊⿦⨨䛾㛤Ⓨ䝃䜲䝗䛸䚸᳜⏕䝷䜲䝎䞊ィ 䝃䜲䝗䛾୧䝏䞊䝮䛜༠ຊ䛧䚸䝷䜲䝎䞊䛻䜘䜛䝸䝰䞊䝖䝉䞁䝅䞁䜾ィ 䛾┠ⓗ䛻㐺䛧䛯䝝䞊䝗䜴䜵䜰䛸䜰䝹䝂䝸䝈䝮䛾㛤Ⓨ䛻䛴䛔䛶᳨ウ䜢⾜䛖䚹䛆Abstract䛇 Technology of lidar range finding is widely applied for hard target such as plant vegetation, while it canstand further improvements comes from developer’s needs on architecture and data analysis algorithm. In
this workshop, lidar developer and vegetation lidar users will cooperate and discuss the adequate system
and algorithm for the vegetation lidar remote sensing.

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᳜⏕䝷䜲䝎䞊◊✲䜢䝔䞊䝬䛸䛧䛶䚸䝷䜲䝎䞊㛤Ⓨ⪅䛺䜙䜃䛻᳜⏕䝷䜲䝎䞊䝴䞊䝄䞊䛾୧䝏䞊䝮䛛䜙Ⓨ⾲䛜⾜䛔䚸཮᪉䛾❧ሙ䛷᝟ሗ஺᥮䜢⾜䛖┠ⓗ䛷䚸ୗグ䛾䜘䛖䛻◊✲఍䜢㛤ദ䛧䛯䚹᪥ ᫬䠖 2017ᖺ12᭶19᪥䠄ⅆ䠅 13:00-16:30
ሙ ᡤ䠖 ༓ⴥ኱Ꮫ す༓ⴥ䜻䝱䞁䝟䝇⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊 ఍㆟ᐊ୺ ദ䠖 ༓ⴥ኱Ꮫ⎔ቃ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊
༠ ㈶䠖 ༓ⴥ኱Ꮫ Ꮫ⾡◊✲᥎㐍ᶵᵓ ⏘ᴗ㐃ᦠ◊✲᥎㐍䝇䝔䞊䝅䝵䞁ୗグ䛻♧䛩6௳䛾ㅮ₇䛜⾜䜟䜜䚸άⓎ䛺㉁␲䛜䛒䛳䛯䠄ཧຍ⪅䛿20ྡ䠅䚹•13:00͒㻌 㛤఍䛾㎡ 㻌 㻌㻌 㻌 㻌 㻌 㻌 ஂୡ ᏹ᫂(༓ⴥ኱Ꮫ CEReS)•13:10 㻌 ᆅୖ䝺䞊䝄䞊䛸 UAV-SfM 䛻䜘䜛᳃ᯘⅆ⅏ホ౯ἲ䛾☜❧ຍ⸨ 㢧(༓ⴥ኱ᏛᅬⱁᏛ◊✲⛉)•13:40͒ ᳃ᯘᵓ㐀ྲྀᚓ䛾䛯䜑䛾⡆᫆ᆺ LiDAR 䛻䜘䜛㏆᥋䝸䝰䞊䝖䝉䞁䝅䞁䜾Ლཎ ᗣྖ䚸ᮏከ ჆᫂(༓ⴥ኱Ꮫ CEReS)•14:10͒ Ᏹᐂ⏝䝷䜲䝎䞊䜢⏝䛔䛯᳜⏕ほ 䝭䝑䝅䝵䞁 MOLI㻌 ᐊᒸ ⣧ᖹ(JAXA)•14:40͒ ⾨ᫍ䝷䜲䝎䞊ICESat/GLAS 䜢฼⏝䛧䛯ᶞ㧗䛚䜘䜃᳃ᯘ䝞䜲䜸䝬䝇䛾ᗈᇦィᯘ ┿ᬛ (JAXA)•15:10 ఇ᠁•15:20 ᳜⏕⺯ග䝷䜲䝎䛾㛤Ⓨᩧ⸨ ಖ඾(ಙᕞ኱ᏛᏛ⾡◊✲㝔)•15:50 ኱Ẽ䞉䜺䝇ィ ⏝䝭䝙䝷䜲䝎䞊䛾ᦠᖏ໬䜈䛾ᣦ㔪᳝ྡ 㐩㞝(༓ⴥ኱ᏛᕤᏛ◊✲㝔)•16:30 㛢఍䛾㎡ 㻌 㻌㻌 㻌 㻌 ᳝ྡ 㐩㞝(༓ⴥ኱ᏛᕤᏛ◊✲㝔)͒ᮏ◊✲఍䛷䛿䚸䝷䜲䝎䞊⿦⨨䛾㛤Ⓨ䝃䜲䝗䛸䚸᳜⏕䝷䜲䝎䞊ィ 䝃䜲䝗䛾୧䝏䞊䝮䛜༠ຊ䛧䚸┠ⓗ䛻㐺䛧䛯䝝䞊䝗䜴䜵䜰䛸䜰䝹䝂䝸䝈䝮䛾㛤Ⓨ䛻䛴䛔䛶᳨ウ䜢⾜䛳䛯䚹⿦⨨㛤Ⓨ䛾❧ሙ䛛䜙䛿ᑠᆺ໬䜔᳜⏕䜢䝍䞊䝀䝑䝖䛩䜛㝿䛾ィ ᑐ㇟䛾㑅ᐃ䛸ホ౯䛜Ⓨ⾲䛥䜜䚸୍᪉䛾᳜⏕ィ 䝃䜲䝗䛾❧ሙ䛛䜙䛿ศゎ⬟䜔ィ ᪉ἲ䜈䛾ᥦ᱌䛸ฎ⌮᪉ἲ䛻㛵䛧䛶ሗ࿌䛜䛺䛥䜜䛯䚹ྠ䛨ሙ䛷཮᪉䛜㆟ㄽ䛷䛝䜛ሙ䛿ᑡ䛺䛟䚸཮᪉䛻䛸䛳䛶䚸䛸䛶䜒᭷ព⩏䛺㆟ㄽ䛜⾜䛘䛯䚹― 76 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-35䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅䜲䞁䝗䝛䝅䜰䞉䝞䝸䛻䛚䛡䜛⾨ᫍ䝕䞊䝍䜢⏝䛔䛯㎰ᴗ䞉ẼೃᏛⓗᖸ䜀䛴䛻㛵䛩䜛◊✲•㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Study on Agricultural and Climatological Drought㻌 using Satellite Data in Bali, Indonesia䠄◊✲௦⾲⪅ྡ䠅 ኱⃝㻌 㧗ᾈ㻌 䠄䜴䝎䝲䝘኱Ꮫ䞉ᾏὒ⛉Ꮫ䝸䝰䞊䝖䝉䞁䝅䞁䜾◊✲䝉䞁䝍䞊䠅
Takahiro Osawa 䠄Udayana University 䞉Center for Remote Sensing and Oceanography䠅䛆せ᪨䛇䜲䞁䝗䝛䝅䜰䛻䛚䛡䜛䜶䝹䝙䞊䝙䝵⌧㇟䛿䚸㎰ᴗ⏕⏘ᛶ䛾పୗ䛺䛹䛾㣗ᩱᏳ඲ಖ㞀䛻₯ᅾⓗ䛻ᙳ㡪䛧䚸㝆㞵㔞䛾ῶᑡ䛻䜘䜛ᖸ䜀䛴䜢ᘬ䛝㉳䛣䛧䛶䛔䜛䚹 2015ᖺ䜶䝹䝙䞊䝙䝵⌧㇟䛿䚸1997ᖺ௨᮶䚸㎰ᴗ䛻᭱䜒኱䛝䛺䝎䝯䞊䝆䜢୚䛘䛯䜶䝹䝙䞊䝙䝵⌧㇟䛾୍䛴䛷䛒䛳䛯䚹 ᮏ◊✲䛿䚸䝞䝸ᓥ䛻䛚䛡䜛㎰ᴗ䛸Ẽ㇟Ꮫⓗᖸ䜀䛴䛾῝้䛥䜢ุᐃ䛩䜛䛯䜑䚸䝸䝰䞊䝖䝉䞁䝅䞁䜾䝕䞊䝍䛻ᇶ䛵䛟᳜⏕ಖ೺ᣦᩘ䠄VHI䠅䛸ᶆ‽㝆Ỉᣦᩘ䠄SPI䠅䛜ィ⟬䛥䜜䛯䚹ᮏ◊✲䛿䚸䜶䝹䝙䞊䝙䝵⌧㇟䛸㠀䜶䝹䝙䞊䝙䝵⌧㇟㛫䛻䛚䛡䜛䝞䝸ᓥ䛾㎰ᴗ䛻䛚䛡䜛ẼೃᏛⓗ䛺ᖸ䜀䛴䛾᝟ሗ䜢ᥦ౪䛩䜛䛣䛸䛜ᮇᚅ䛥䜜䜛䚹
䛆Abstract䛇 El Niño could potentially affect the food security such as reducing agricultural productivity and causes
drought in Bali due to declining rainfall; The 2015 El Niño is likely to be one of the strongest El Niño
events since 1997 (Blunden & Arndt, 2016); To determine the severity of agriculture and climatologicaldrought in Bali, Vegetation Health Index (VHI) & Standardized Precipitation Index (SPI) based on remoteresearch
is isexpected
toto
providesensing data are calculated (Kogan, 2002; McKee et al., 1993); ThisThis
research
expectedprovideinformation of the spatial patterns of agriculture & climatological drought severity in Bali during El Niño
and non-El Niño event.

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◊✲䛾
ᡂᯝ

䜶䝹䝙䞊䝙䝵⌧㇟䛿䚸㎰ᴗ⏕⏘ᛶ䛾పୗ䛺䛹䛾㣗ᩱᏳ඲ಖ㞀䛻₯ᅾⓗ䛻ᙳ㡪䛧䚸㝆㞵㔞䛾ῶᑡ䛻䜘䜛䜲䞁䝗䝛䝅䜰䚸䝞䝸ᓥ䛾ᖸ䜀䛴䜢ᘬ䛝㉳䛣䛧䛶䛔䜛≧ἣ䛜ᮏ◊✲䛾⫼ᬒ䛸䛧䛶䛒䜛䚹ᮏ◊✲䛾┠ⓗ䛿, 䜲䞁䝗䝛䝅䜰䚸䝞䝸ᓥ䛾㎰ᴗ䛸Ẽ㇟Ꮫⓗᖸ䜀䛴䛾῝้䛥䜢ุᐃ䛩䜛஦䛷䛒䜛䚹䛣䛾䛯䜑䚸䝸䝰䞊䝖䝉䞁䝅䞁䜾䝕䞊䝍䛻ᇶ䛵䛟᳜⏕ಖ೺ᣦᩘ䠄VHI䠅䛸ᶆ‽㝆Ỉᣦᩘ䠄SPI䠅䛜ィ⟬᪉ἲ䜢᥇⏝䛧䚸䜶䝹䝙䞊䝙䝵⌧㇟䛸㠀䜶䝹䝙䞊䝙䝵⌧㇟䛾㛫䛻䚸䝞䝸ᓥ䛾㎰ᴗ䞉ẼೃᏛⓗ䛺ᖸ䜀䛴䛾῝้䛥䛾᝟ሗ䜢ᥦ౪䛩䜛䛣䛸䜢ᐇ᪋䛧䛯䚹䠄䠍䠅䝞䝸ᓥ䛾㎰ᴗ䛸Ẽ㇟Ꮫⓗᖸ䜀䛴䛾῝้䛥䜢ุᐃ䞉䜢㛤Ⓨ䛧䜎䛧䛯㻌 㻌 䠄ᅗ䠍䠅䚹䛣䜜䛻䜘䜚䚸䜶䝹䝙䞊䝙䝵⌧㇟䛸㠀䜶䝹䝙䞊䝙䝵⌧㇟䛾㻌 㻌 㛫䛻䚸䝞䝸ᓥ䛾㎰ᴗ䞉ẼೃᏛⓗ䛺ᖸ䜀䛴䛾῝้䛥䛾᝟ሗ䛜ྍ⬟㻌 㻌 䛸䛺䜚䜎䛩䚹䠄䠎䠅䜲䞁䝗䝛䝅䜰䛾ᖸ䜀䛴ศᯒ䛷䛿䚸MODIS䝕䞊䝍䛻ᇶ䛵䛟
VHI䠄Vegetation Health index) 䛾ᡭἲ䛾᪉䛜TRMM⾨ᫍ䝕䞊䝍䛻ᇶ䛵䛟SPI(Standardized Precipitation Index)䜘䜚஝⇱䛾⌧㇟㻌 㻌 㻌 䜢♧䛩᭷ຠ䛺ᡭἲ䛷䛒䜛䛣䛸䜢᫂䜙䛛䛻䛺䜚䜎䛧䛯䚹䠄䠏䠅䝸䝰䞊䝖䝉䞁䝅䞁䜾䝕䞊䝍䛻ᇶ䛵䛟᳜⏕೺ᗣᣦᩘ䠄VHI䠅䛸ᶆ‽㝆㻌 㻌 㻌 㞵ᣦᩘ䠄SPI䠅 ᢏ⾡䜢䝞䝸ᓥ䛻㐺ᛂ䛩䜛஦䜢☜❧䛧䜎䛧䛯䠄ᅗ䠎䠅䚹㻌 㻌 㻌 䛣䜜䛻䜘䜚䚸 䜶䝹䝙䞊䝙䝵⌧㇟䛸㠀䜶䝹䝙䞊䝙䝵⌧㇟䛾㛫䛻䚸㻌㻌 㻌 㻌 䝞䝸ᓥ䛾㎰ᴗ䞉ẼೃᏛⓗ䛺ᖸ䜀䛴䛾῝้䛥䛾᝟ሗ䜢ᥦ౪䛩䜛㻌 㻌 㻌 䛣䛸䛜ྍ⬟䛸䛺䜚䚸ᑗ᮶ⓗ䛻䜲䞁䝗䝛䝅䜰䛾௚䛾䜶䝸䜰䛻㐺ᛂ䛜㻌 㻌 㻌 ྍ⬟䛻䛺䜚䜎䛩䚹

ᅗ1
ᅗ1

ᅗ.1㻌 ィ⟬ᡭἲ䝅䝇䝔䝮

ᅗ22䠲䠤䠥ᡭἲ䛻䜘䜚᳜≀೺ᗣᣦᩘ䠄䠎䠌䠍䠐䠅

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

㛤Ⓨ䛧䛯ᡭἲ䛿䚸䝞䝸ᓥ䛾㎰ᴗ䞉ẼೃᏛⓗ䛺ᖸ䜀䛴䛾῝้䛥䛾᝟ሗ䛾◊✲䛻⏝䛔䜙䜜䛶䛔䜎䛩䚹ᮏᢏ⾡䛿䚸䜲䞁䝗䝛䝅䜰䛾䛭䛾௚䛾ᓥ䚻䛻㐺ᛂ䛜ྍ⬟䛻䛺䜚䜎䛩䚹― 77 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-36䛇 P2017-1
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅䝬䝹䝏䝇䝨䜽䝖䝹䜹䝯䝷䜢⏝䛔䛯UAV㎰ᴗ䝸䝰䞊䝖䝉䞁䝅䞁䜾㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Agricultural remote sensing using UAV and multi-spectral camera䠄◊✲௦⾲⪅ྡ䠅 ᑠⰼ࿴㻌 ᏹஅ䠄䝡䝆䝵䞁䝔䝑䜽䠅
Hiroyuki OBANAWA (VisionTech Inc.)䛆せ᪨䛇㎰ᴗศ㔝䛻䛚䛔䛶䚸᳜≀䜢㐺ษ䛻⟶⌮䞉᱂ᇵ䛩䜛䛯䜑䛻䛿䚸䜎䛪᳜≀⏕⫱䜔⑓⹸ᐖⓎ⏕䛾≧ἣ䛺䛹䚸ᵝ䚻䛺᳜≀≉ᛶ䜢ᢕᥱ䛩䜛ᚲせ䛜䛒䜛䚹ᚑ᮶䚸䛭䜜䜙䛾ほ 䛿⇍⦎⪅䛾⤒㦂䜔▱㆑䛻ᇶ䛵䛟⌧ᆅㄪᰝ䛻౫Ꮡ䛧䛶䛔䛯䛜䚸ேᡭ୙㊊䜔సᴗ䝁䝇䝖䛾⌮⏤䛻䜘䜚䚸ᗈ⠊ᅖ䜢ㄪᰝ䛩䜛䛣䛸䛿㞴䛧䛛䛳䛯䚹ᮏ◊✲䛷䛿䚸䛭䜜䜙䛾ㄢ㢟䜢ゎỴ䛩䜛᪉ἲ䛸䛧䛶㏆ᖺὀ┠䛥䜜䛶䛔䜛䚸ᑠᆺUAV䛻ᦚ㍕䛧䛯RGB䛚䜘䜃䝬䝹䝏䝇䝨䜽䝖䝹䜹䝯䝷䛻䜘䜛✵᧜䛚䜘䜃᳜≀≉ᛶデ᩿ᡭἲ䛾㐺⏝஦౛䜢ሗ࿌䛩䜛䚹䛆Abstract䛇 In the field of agriculture, monitoring of various conditions of the vegetation such as their growth ordisease is necessary to adequately manage and cultivate the plant. In the past, this monitoring has
depended on the field survey by experts based on their experience and knowledge. They could not,however, survey the wide field enough because of the short of hands or operating cost. In this study,
we report case studies of agricultural remote sensing using UAV and multi-spectral camera as amethod to overcome those problems.

䠍㻌 ᪥ᮏ䛾㎰ᴗ䛿䚸㎰ᴗ⪅䛾ῶᑡ䞉㧗㱋໬䚸Ẽೃኚື䜔␗ᖖẼ㇟䛻క䛖ရ㉁పୗ䚸ΰ㏞䛩䜛TPP䛾ᙳ㡪䛺䛹䚸ᵝ䚻䛺୙Ᏻせᅉ䚸ၥ㢟䜢ᢪ䛘䛶䛔䜛䚹௒ᚋ䛾㎰ᴗ⏕⏘ຊ䛾⥔ᣢ䞉ྥୖ䜢ᅗ䜛䛯䜑䛻䛿䚸ᚑ᮶䛾⇍⦎Ⴀ㎰⪅䛻䜘䜛⤒㦂䜔຺䛻౫Ꮡ䛧䛯ᡭἲ䛰䛡䛷䛿䛺䛟䚸᭱᪂䛾ᶵᮦ䜔ゎᯒᡭἲ䜢⏝䛔䛯䝸䝰䞊䝖䝉䞁䝅䞁䜾ᢏ⾡䜢⼥ྜ䛥䛫䚸䛣䜜䜎䛷䜘䜚䜒䛥䜙䛻ຠ⋡ⓗ䛛䛴㧗ᗘ໬䛥䜜䛯[⢭ᐦ㎰ᴗ]䛾ᑟධ䞉ᒎ㛤䛜ᮃ䜎䜜䜛䚹䝋䝸䝳䞊䝅䝵䞁䝒䞊䝹䛸䛧䛶䚸䛣䜜䜎䛷䛿୺䛻⾨ᫍ䝕䞊䝍䛜᳨ウ䞉฼⏝䛥䜜䛶䛝䛯䛜䚸䝕䞊䝍ྲྀᚓ䛾୙Ᏻᐃᛶ䠄㞼䛾ᙳ㡪䛺䛹䠅䚸✵㛫ศゎ⬟䛾ప䛥䚸㈝⏝ᑐຠᯝ䛾ぢ䛘㞴䛥䛺䛹䛜ཎᅉ䛷ᬑཬ䛜㐜䜜䛶䛔䜛䚹㻌 䛭䛣䛷ᮏ◊✲䛷䛿䚸䛭䜜䜙䛾ၥ㢟䜢ゎỴ䛩䜛䛯䜑䛻䚸㏆ᖺᵝ䚻䛺ศ㔝䛷ᛴ㏿䛻฼⏝䛜ᣑ኱䛧䛶䛔䜛ᑠᆺ
UAV䠄↓ே⯟✵ᶵ䚸䝗䝻䞊䞁䠅䚸䛚䜘䜃ᑠᆺUAVᦚ㍕┠ⓗ䛷タィ䛥䜜䛯㍍㔞䝁䞁䝟䜽䝖䛺䝬䝹䝏䝞䞁䝗䜹䝯䝷䜢⏝䛔䛶䚸Ỉ✄䜔ᑠ㯏䛸䛔䛳䛯୺せస≀䛾⏕⫱≧ἣ䜢ᐃ㔞໬䛧䚸㧗ゎീᗘ䚸㧗㢖ᗘ䚸ప䝁䝇䝖䛺㎰ᴗ䝸䝰䞊䝖䝉䞁䝅䞁䜾ᡭἲ䛾㛤Ⓨ䜢⾜䛳䛯䚹䠎(1) UAV䠄3DR SOLO䠅䚸RGB䜹䝯䝷䠄GoPro HERO4
Black䠅䚸䝬䝹䝏䝇䝨䜽䝖䝹䜹䝯䝷䠄RedEdge䠅䜢⏝䛔䛶✵᧜䛧䚸㔜」෗┿䜢SfMฎ⌮䠄PhotoScan Pro䠅䛩䜛䛣䛸䛷䚸Ỉ✄ᅡሙ䜢ᑐ㇟䛸䛧䛯㧗ゎീ䛛䛴㧗㢖ᗘ䛺ྍど⏬ീ䚸DSM䚸NDVI⏬ീ䛾ྲྀᚓ䛻ᡂຌ䛧䛯䠄ᅗ1䠅䚹

⫼ᬒ
┠ⓗ
᪉ἲ

◊✲䛾
ᡂᯝ

(2) ⲡ୔䛻㛵䛧䛶䚸UAVィ 䛻䜘䜛᥎ᐃ್䛸ᆅୖィ䛻䜘䜛ᐇ ್䜢ẚ㍑䛧䛯䛸䛣䜝䚸᥎ᐃ⢭ᗘ䛿㠀ᖖ䛻㧗䛛䛳䛯䠄R=0.99䠅䚹ᅗ2 ⲡ୔᥎ᐃ್䛸
ᐇ

䠏

್䛾ẚ㍑

(3) ྛ᫬ᮇ䛾NDVI䛸཰㔞䠄⢒⋞⡿㔜㔞䠅䛚䜘䜃㣗࿡䠄䝍䞁䝟䜽㉁ྵ㔞䠅䛾༢┦㛵㛵ಀ䜢ㄪ䜉䛯䛸䛣䜝䚸཰㔞䛻㛵䛧䛶䛿7᭶୰᪪䡚8᭶୰᪪䛻䛛䛡䛶┦㛵䛜㧗䛟
䠄R=0.7௨ୖ䠅䚸㣗࿡䛻㛵䛧䛶䛿9᭶୰᪪䛒䛯䜚䛜┦㛵
䛜㧗䛔䠄R=0.85䠅䛣䛸䛜ุ᫂䛧䛯䚹㻌 㛤Ⓨ䛧䛯ᡭἲ䛿䚸㎰ᴗ䠄⢭ᐦ㎰ᴗ䠅䜔ᯘᴗ䠄䝇䝬䞊䝖ᡂᯝᒎ㛤䛾 ᯘᴗ䠅䛺䛹䚸᳜⏕䜢ᑐ㇟䛸䛧䛯ྛ✀⏘ᴗ䛾ICT໬䜢㐍ᒎ䛥䛫䜛୺せᢏ⾡䛾୍䛴䛸䛧䛶䚸ά⏝䛚䜘䜃◊✲䛜≧ἣ㐍䜑䜙䜜䛶䛔䜛䚹

― 78 ―

ᅗ1 ✵᧜⏬ീฎ⌮⤖ᯝ

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-37䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Assessment of the distribution of radionucleides on volcanic islands: case study at Ooshima䠄◊✲௦⾲⪅ྡ䠅 䝂䝯䝇䞉䜽䝸䝇䝖䝣䜯䞊㻌 䠄⚄ᡞ኱Ꮫ & 䜺䝆䝱䝬䝎኱Ꮫ䠄䜲䞁䝗䝛䝅䜰䠅䠅
Christopher Gomez㻌 䠄Kobe University & Universitas Gadjah Mada䠅䛆Abstract䛇 Cesium radionucleides released by the Fukushima powerplant explosion after the 3.11 earthquake andtsunami created catastrophe but also a source of markers for geoscientists, as it has been the case forthe nuclear test fallout of the 1960s.
The volcanic Island of Izu Ooshima, located 350 KM South of Fukushima have also seen Cesium134
and 137 contamination, as attested by air dose-rate analysis which attested that 9/2011 doses were 3x
the one measured in 2005, with peak concentrations on the North-eastern side of the island exposed
towards Fukushima. The present research investigated whether a spatial distribution of theradionucleides could be found and whether an airborne platform was able to detect their presence.
Although ground measurement revealed the presence of local increased radiation levels, most of thesites only displayed background radiation values and the airborne platform could not detect theirpresence. The distribution of radioactive material has shown to have concentrated in vegetated areas ofthe volcanic caldera, which is also the area where water concentrates in a topographic pocket, also filledwith finer material than on the rest of the caldera.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

After a preliminary airborne survey of radionuclides fallout at Ooshima by a team of scientists, 6 years
later, the present contribution aimed to investigate any radioactivity remaining and how it was
distributed.
To do so, the experiment combined a conventional hand-held equipment experiment combined with a
UAV based imaging plate experiment, as well as ground-based imaging plate experiment at OoshimaIsland, south of Tokyo, where minor fallout are believed to have occurred 䠄ᅗ䠍-1&2䠅䚹

(1) There is no consistent trace in the environment ofvery high radioactive level spread over the volcano.
The area of the crater and where the 1986 eruption
occurred do not show any increased level ofradioactivity.
䠄䠎䠅 There are however a lot discrepancies in theradiation dose registered. Although most of themeasurements were between 0.012
sv/hr and
0.017 sv/hr, there are localized exceptions. First theforested area to the North of the cladera that has notbeen impacted by the 1986 eruption shows values
between 0.024 sv/hr and 0.173 sv/hr. The upper
value has been measured only once and could beconsidered as an outlier, but the measurements inforested soil litter have shown values typicallyranging between 0.03 sv/hr and 0.064 sv/hr.

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

(3) Radioactive doses measurement above >0.03
sv/hr are all related to soil and leaves littermeasurements in local topographic pools (few tensof centimeters) where water and particles tend toaccumulate. Otherwise, the values drop very rapidly.

ᅗ1 Location of the survey

ᅗ2 Results of the survey

The results of this short-term research emphasizes the fact that radionuclides distribution, from naturaland from anthropogenic sources are very variables in the environment, even at the meter scale andwithin the same bio-system. Consequently, radionuclide-based dating and geoscientific research has
to rethink the meaning of the presence or not of a marker in the sedimentary record. Absence orpresence of radionuclide markers is the sum of a wide variety of processes.

― 79 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍䠓㻌
䛆CJ17-38䛇୍⯡◊✲㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅㻌 ὶᇦ※㢌㒊䛻䛚䛔䛶ᅵ◁ືែ䛜㝆㞵䠉ὶฟ㛵ಀ䛻ཬ䜌䛩ᙳ㡪㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅㻌 Influence of sediment dynamics on rainfall-runoff relationship in head catchments䠄◊✲௦⾲⪅ྡ䠅 ᇼ⏣ ⣖ᩥ㻌 䠄ᮾி኱Ꮫ䠅
Norifumi Hotta 㻌 䠄The University of Tokyo䠅䛆せ᪨䛇ᮏ◊✲䛿䠈ᒣᆅὶᇦ※㢌㒊䛷⏕䛨䜛ᾐ㣗䞉ሁ✚䛾ᙳ㡪䛜㝆㞵䠉ὶฟ㛵ಀ䛻ཬ䜌䛩ᙳ㡪䜢᫂䜙䛛䛻䛩䜛䛣䛸䜢┠ⓗ䛸䛩䜛䠊Ᏻಸᕝୖὶ䛻఩⨨䛩䜛㟼ᒸ┴኱㇂ᔂ䛻䛚䛔䛶ᅵ▼ὶほ 䜢ᐇ᪋䛧䛯⤖ᯝ䠈䜲䝧䞁䝖୰䛻5mm/10ศ䛾㝆㞵ᙉᗘ䛻㐩䛧䛯䛸䛝䛻ὶᇦ※㢌㒊䛷ᑠつᶍ䛺ᅵ◁⛣ື䛜άⓎ䛻⏕䛨䜛䜘䛖䛻䛺䜚䠈䛭䜜䛜ୗὶ㒊䜎䛷ఏ᧛䛩䜛ሙྜ䛻つᶍ䛾኱䛝䛺ᅵ▼ὶ䛜Ⓨ⏕䛩䜛䛣䛸䛜᫂䜙䛛䛻䛺䛳䛯䠊ほ ⤖ᯝ䛻ᇶ䛵䛔䛶䠈ᅵ▼ὶⓎ⏕䜢⢭ᗘⰋ䛟ุู䛧䠈ᾐ㣗䞉ሁ✚䛻క䛖ᆅᙧ᮲௳䛾ኚ໬䜒⪃៖䛩䜛䛣䛸䛜䛷䛝䜛㝆㞵ᣦᶆ䜢ᥦ᱌䛩䜛䛣䛸䛜ฟ᮶䛯䠊

䛆Abstract䛇 This study aimed to clarify how erosion and deposition processes in headwater region affect rainfallrunoff relationship in a mountain watershed. Field observations of debris flow were carried out in the
Ohya landslide, a headwater small catchment of Abe River, and revealed that rainfall intensity of 5mm/10
min. triggered minor but active sediment supply in the upper torrent resulting in continuous debris-flowdischarge in the downstream area. Rainfall indices to identify the debris flow occurrence was successfully
derived based on the critical rainfall intensity, incorporating the effect of the erosion and deposition.

㸯 ᮏ◊✲䛿䠈䝣䝷䝑䝅䝳䞉䝣䝷䝑䝗䛻ぢ䜙䜜䜛䜘䛖䛺ᒣᆅὶᇦ䛻䛚䛡䜛ᛴ⃭䛺䝢䞊䜽ὶ㔞䛾ኚ໬䜢䠈㝆㞵䛰䛡䛷䛺䛟䠈ᅵ◁⛣ື䛻㉳ᅉ䛩䜛ሙ䛾᮲௳䛾ኚ໬䛛䜙ㄝ᫂䛩䜛䛣䛸䜢┠ⓗ䛸䛧䛯䠊㟼ᒸ┴኱㇂ᔂ䛻䛚䛔䛶ᅵ▼ὶほ 䠈

⫼ᬒ
┠ⓗ
᪉ἲ

ᆅᙧ 㔞䜢ᐇ᪋䛧䠈㝆㞵䝟䝍䞊䞁䛻䜘䜛ᅵ▼ὶⓎ⏕䛾᭷↓䛸ὶฟἼᙧ䛾㐪䛔䛻㛵䛧䛶䠈ᅵ◁⛣ື≧ἣ䜔ᆅᙧኚ໬䛸ẚ㍑䜢㏻䛧䛶䠈ᛴ⃭䛺ὶฟ䝢䞊䜽ᙧᡂ䛥䛾せᅉ䜢᳨ウ䛧䛯䠊䛭䛾䛖䛘䛷䠈ᅵ▼ὶⓎ⏕ண 䛾䛯䜑䛾㝆㞵ᣦᶆ䜢᪂䛯䛻ᥦ᱌䛧䠈⢭ᗘ䜔≉ᛶ䛾㐪䛔䛻䛴䛔䛶䠈᪤ 䛾㝆㞵ᣦᶆ䛸䛾ẚ㍑᳨ド䜢ᐇ᪋䛧䛯䠊

㸰
◊✲䛾
ᡂᯝ

ୖὶ

䠄䠍䠅ほ ⤖ᯝ䛛䜙䠈ྠ୍䜲䝧䞁䝖ෆ䛷㝆㞵ᙉᗘ䛜5mm/10ศ䜢㉸䛘䛯᫬㛫ᖏ䜢୰ᚰ䛻䠈᭱ୖὶ㒊䛷ᑠつᶍ䛺ᅵ◁⛣ື䛜」
ᩘⓎ⏕䛧䠄ᅗ1䠅䠈ୗὶ䜎䛷฿㐩䛩䜛ᅵ▼ὶ䛾ዎᶵ䛸䛺䜛䛣䛸䛜ศ䛛䛳䛯䠊୍᪉䛷䠈ྠ⛬ᗘ䛾㝆㞵䛷䜒ᅵ▼ὶ䛾つᶍ䛜䛥䜎䛦䜎䛷䛒䜛䛣䛸䜒᫂䜙䛛䛻䛺䛳䛯䠊ᅵ▼ὶ䛜ୗὶ㒊䜎䛷฿㐩䛧䛯ሙྜ䛻䛿䠈ᅵ▼ὶᡪ≧ᆅ䛾෌ᾐ㣗䛜⏕䛨䜛䛣䛸䛷䠈Ᏻಸᕝὶᇦෆ䛻ᅵ◁䛜౪⤥䛥䜜䜛䛣䛸䛜♧䛥䜜䛯䠊

10ศ㞵㔞

኱䛝䛺ẁἼ

ୗὶ

䠄䠎䠅5mm/10ศ䛸䛔䛖䠈◊✲ᑐ㇟ᆅ䛷Ⓨ⏕䛩䜛ᅵ▼ὶ䛻ᙉ䛟㛵ಀ䛩䜛㝆㞵ᙉᗘ䛻ᇶ䛵䛝䠈㝆㞵䛾㞟୰᫬㛫䛾つᶍ䜔ᅇᩘ䜢ᐃᘧ໬䛩䜛䛣䛸䛷᪂䛯䛺㝆㞵ᣦᶆ䜢ᥦ᱌䛧䛯䛸䛣䜝䠈ᚑ᮶䛾㝆㞵ᣦᶆ䛻ᑐ䛧䛶䛝䜟䜑䛶㧗䛔⢭ᗘ䛷ᅵ▼ὶ䛾Ⓨ⏕ண 䛜⾜䛘䜛䛣䛸䛜᫂䜙䛛䛻䛺䛳䛯䠄ᅗ2䠅䠊䜎䛯䠈ᅵ▼ὶ䛾⧞䜚㏉䛧䛻䜘䛳䛶⏕䛨䜛䛂ሙ䛾᮲௳䛃ኚ໬䛻ᑐᛂ䛧䛶䠈༴㝤㞵㔞䛾㜈್䜒ኚ໬䛩䜛䛣䛸䛜♧䛥䜜䛯䠊䛣䛾⤖ᯝ䛿䠈ᅵ◁౪⤥䛻㛵䜟䜛ሙ䛾᮲௳䛾ኚ໬䜢䝰䝙䝍䝸䞁䜽䛩䜛䛣䛸䛷䠈ᅵ▼ὶⓎ⏕䛾ண ⢭ᗘ䜢ྥୖ䛥䛫ᚓ䜛䛣䛸䜢ព࿡䛩䜛䛸⪃䛘䜙䜜䜛䠊ୖὶ䡚ୗὶ䜈䛾ᅵ▼ὶ䛾ఏ᧛

ᅗ1 㝆㞵䛸ὶᇦෆ䛾ᅵ◁⛣ື䛾ᑐᛂ

Ⓨ⏕᮲௳䛜ኚ໬

ᅵ▼ὶ䛾Ⓨ⏕䜢㧗⢭ᗘ䛷ุᐃ

ᅗ2 ᅵ▼ὶⓎ⏕䞉㠀Ⓨ⏕䛾ุᐃ

㸱
ᡂᯝᒎ㛤䛾
≧ἣ

ᚓ䜙䜜䛯ᡂᯝ䛿Ᏻಸᕝὶᇦ䜢⟶⌮䛩䜛㟼ᒸἙᕝ஦ົᡤ䛻ሗ࿌῭䜏䛷䛒䜛䠊䜎䛯䠈㏆᪥୰䛻ᢞ✏䜢⾜䛖ணᐃ䛷䛒䜛䠊

― 80 ―

CEReS ඹྠ฼⏝◊✲㻛◊✲ሗ࿌䠎䠌䠍㻣㻌
䛆CJ17-39䛇SP2017-3
㻌 䠄◊✲ㄢ㢟ྡ䠖࿴ᩥ䠅UAV䝸䝰䞊䝖䝉䞁䝅䞁䜾䛻䜘䜛⇕㉥እ䜹䝯䝷䜢⏝䛔䛯Ỉ✄䝰䝙䝍䝸䞁䜾㻌 䠄◊✲ㄢ㢟ྡ䠖ⱥᩥ䠅Rice monitoring using thermal infrared camera by UAV remote sensing䠄◊✲௦⾲⪅ྡ䠅 ⏣୰㻌 ᆂ㻌 䠄᪥ᮏᆅᅗ䝉䞁䝍䞊䠅
Kei Tanaka 㻌 䠄Japan Map Center䠅
䛆せ᪨䛇㏆ᖺ䚸ᑠᆺUAV䛾ᬑཬ䛻䜘䜚ಶே༢఩䛷Ỉ✄䝰䝙䝍䝸䞁䜾䜢⾜䛖䛣䛸䛜ྍ⬟䛸䛺䛳䛶䛝䛯䚹䛭䛣䛷䚸ᮏ◊✲䛿す᪥ᮏ䜢୰ᚰ䛻䜲䝛䛾㧗 Ⓩ⇍㞀ᐖ䛾Ⓨ⏕౛䛜ከ䛟ሗ࿌䛥䜜䛶䛔䜛ၥ㢟䜢UAV㏆᥋䝸䝰䞊䝖䝉䞁䝅䞁䜾䛻䜘䛳䛶䚸ᅡሙ඲య䛾 ᗘ⎔ቃ䜢ほ 䛧䚸䜲䝛䛾⏕⫱≧ἣ䛸䛾㛵ಀ䜢᫂䜙䛛䛻䛩䜛䛣䛸䛷䛒䜛䚹ᇸ⋢┴ᆏᡞᕷ໭㒊䛾Ỉ⏣䜢ヨ㦂䝃䜲䝖䛸䛧䚸✑ᥞᮇ䛻䛒䛯䜛䠔᭶䠒᪥10᫬~䠓᪥12᫬䛻䛛䛡䛶䜲䝛䛾⩌ⴠ⾲㠃 ᗘ䛾ほ 䜢⾜䛳䛯䚹䛭䛾⤖ᯝ䚸䜲䝛䛾⩌ⴠ⾲㠃 ᗘ䛿୍ᵝ䛷䛿䛺䛟䚸䜀䜙䛴䛝䜢䜒䛳䛶ศᕸ䛧䛶䛔䜛䛣䛸䛜䜟䛛䛳䛯䚹䜎䛯䚸䛣䛾䜀䜙䛴䛝䛿NDVI䛸ᑐᛂ䛧䛶䛚䜚䚸┦ᑐⓗ䛻⩌ⴠ⾲㠃 ᗘ䛾ప ᇦ䛷NDVI䛜㧗䛟䛺䜚䚸཯ᑐ䛻㧗 ᇦ䛷䛿NDVI䛜ప䛔್䜢♧䛩䛣䛸䛜᫂䜙䛛䛻䛺䛳䛯䚹䛆Abstract䛇 The purpose of this study is to observe the canopy temperature in paddy field using UAV (Unmanned
Aerial Vehicle) remote sensing. As a result, Canopy temperature in paddy field is not uniform, it was foundto be distributed with the variation. The variation corresponds with NDVI.NDVI increases in a lowtemperature range of canopy temperature, in the high temperature range of canopy temperature wasfound to exhibit NDVI is low.

䠍

⫼ᬒ
┠ⓗ
᪉ἲ

䠎
◊✲䛾
ᡂᯝ

2014ᖺ䛛䜙UAV䜢⏝䛔䛯Ỉ✄䝰䝙䝍䝸䞁䜾䜢㐌୍䛾㢖ᗘ䛷ᐇ᪋䛧䛶䛝䛯䠄⏣୰䞉㏆⸨ 2016䠅䚹䛣䜜䜎䛷䛾ᡂᯝ䛛䜙䚸ప㧗ᗘ䛛䜙᧜ᙳ䛩䜛UAV䛾䝰䝙䝍䝸䞁䜾䛿䚸䜲䝛䛾⏕⫱≧ἣ䜢⢭ᗘ䜘䛟ᢕᥱ䛩䜛䛣䛸䛜䛷䛝䜛䛣䛸䛜䜟䛛䛳䛯䚹䛭䛣䛷䚸ᮏ◊✲䛷䛿ୖグ䛾䝰䝙䝍䝸䞁䜾䛿ᘬ䛝⥆䛝ᐇ᪋䛧䚸䛥䜙䛻⇕㉥እ䜹䝯䝷䛻䜘䜛⩌ⴠ⾲㠃ᗘ䛾ほ 䜢㏣ຍ䛧䚸⏕⫱≧ἣ䛸 ᗘ⎔ቃ䛾㛵ಀ䜢ᢕᥱ䛩䜛䛣䛸䜢┠ⓗ䛸䛩䜛䚹䜲䝛䛾 ᗘ⎔ቃ䠄≉䛻ฟ✑᪥௨㝆䠅䛿䚸㧗 Ⓩ⇍㞀ᐖ䛻䜘䜛⋞⡿䛾ⓑᮍ⇍⢏໬䛻㛵ಀ䛧䛶䛔䜛䠄᳃⏣ 2009䠅䛯䜑䚸ୖ✵䛛䜙䛾䝰䝙䝍䝸䞁䜾䛻䜘䛳䛶 ᗘ⎔ቃ䜢ᙳ㡪䜢ホ౯䛧䛯䚹䜎䛯䚸NDVI䛸 ᗘ⎔ቃ䛾㛵ಀ䛛䜙䜲䝛䛾ගྜᡂ䚸⵨ᩓ䛻䛴䛔䛶䜒᳨ウ䜢⾜䛳䛯䚹
䠄䠍䠅ᑠᆺUAV䜢⏝䛔䛶Ỉ✄䛾⏕⫱≧ἣ䜢⢭☜䛻䝰䝙䝍䝸䞁䜾䛩䜛䛣䛸䛻ຍ䛘䛶䚸㧗㢖ᗘ䛾ᅇᩘ䛷⇕㉥እ䜹䝯䝷䛻䜘䜛䝰䝙䝍䝸䞁䜾䜢ᐇ᪋䛧䚸䜲䝛䛾⩌ⴠ⾲㠃 ᗘ䛾᫬㛫ኚ໬䜢ほ 䛧䛯䚹䛣䜜䛻䜘䜚䚸ᅡሙෆ䛾ᗘ⎔ቃ䛾䜀䜙䛴䛝䛾ᢕᥱ䛜ྍ⬟䛸䛺䛳䛯䚹䠄䠎䠅㧗 Ⓩ⇍㞀ᐖ䛻ᙳ㡪䛜䛒䜛䛸䛥䜜䛶䛔䜛ฟ✑᪥௨㝆䛷䚸䠎᫬㛫
䛾㛫㝸䛷NDVI䞉⇕㉥እ䛾㐃⥆ほ 䜢ᐇ᪋䛧䛯⤖ᯝ䚸䜲䝛䛾⩌ⴠ⾲㠃ᗘ䛾䝞䝷䛴䛝䛿NDV䛸᫂░䛺┦㛵䜢♧䛩䛣䛸䛜᫂䜙䛛䛻䛺䛳䛯䚹≉䛻䚸᪩ᮅ䜘䜚᪥୰䛾᫬㛫ᖏ䛷㧗䛔┦㛵䜢♧䛧䛯䚹䜎䛯䚸┦ᑐⓗ䛻䜲䝛䛾⩌ⴠ⾲㠃 ᗘ䛾ప ᇦ䛾ሙྜ䛿NDVI䛜㧗䛟䚸୍᪉䚸㧗 ᇦ䛾ሙྜ䛿NDVI䛜ప䛔ഴྥ䛸䛺䛳䛯䚹୧⪅䛾㛵ಀ䛛䜙䜲䝛䛾⵨ᩓ䛻䜘䜛 ᅗ1 ⇕㉥እ䜹䝯䝷ᦚ㍕UAV䛾㣕⾜䝹䞊䝖⇕䜶䝛䝹䜼䞊䛾⛣ື䛻䛴䛔䛶ᢕᥱ䛜ྍ⬟䛸䛺䛳䛯䚹䠄䠏䠅཰✭┤๓䛻䜲䝛䜢ᩘ⟠ᡤ䛛䜙䝃䞁䝥䝹䛧䚸䜲䝛䛾⩌ⴠ⾲㠃 ᗘ䛸⋞⡿㔜㔞ཬ䜃እほရ㉁䛻䛴䛔䛶䜒᳨ウ䛧䛯䚹ᅡሙ඲య䛾ᖹᆒ ᗘ䜘䜚㧗 䛻䛺䜛䛸䚸⋞⡿㔜㔞䛜⣙20%ῶᑡ䛧䚸཯ᑐ䛻ᖹᆒ䜘䜚ప䛾ሙྜ䛷䛿䚸⣙10%ቑຍ䛩䜛䛣䛸䛜䜟䛛䛳䛯䚹㧗 Ⓩ⇍㞀ᐖ䜈䛾ᑐᛂ䛸䛧䛶䚸ᩚ⢏Ṍྜ䜢㧗䜑䜛䛻䛿㏣⫧䜢ቑ㔞
(NDVI䜢㧗䜑䜛)䛩䜛䛣䛸䛜᭷ຠ䛷䛒䜛䚹䛧䛛䛧䚸㏣⫧䛿䝍䞁䝟䜽㉁ྵ᭷㔞䛜ቑຍ䛧䛶䛧䜎䛖䛯䜑䚸 㣗࿡䛜ⴠ䛱䛶䛧䜎䛖䚹䛣䜜䜙䛿䝖䝺䞊䝗䜸䝣䛾㛵ಀ䛾䛯䜑䚸㎰ᐙ䛾຺䜔⤒㦂䜢ྲྀ䜚ධ䜜䜛ᚲせ䛜䛒䜛䚹

䠏
ᡂᯝᒎ㛤䛾
≧ἣ

䜲䝛䛾⩌ⴠ⾲㠃

ᗘ䠄ᕥᅗ䠅䛸

ᅗ2 NDVI䠄ྑᅗ䠅12᫬᧜ᙳ⇕㉥እ䜹䝯䝷ᦚ㍕䛻䜘䜛䝗䝻䞊䞁Ỉ✄䝰䝙䝍䝸䞁䜾䛿䚸ᅡሙ༢఩䛷䛾⇕⎔ቃ䛾ᢕᥱ➼䛾◊✲䛻⏝䛔䜙䜜䛶䛔䜎䛩䚹

― 81 ―

㻾㼑㼜㼛㼞㼠㻌㼒㼛㼞㼙㻌㼒㼛㼞㻌㻯㻱㻾㼑㻿㻌㻻㼢㼑㼞㼟㼑㼍㼟㻌㻶㼛㼕㼚㼠㻌㻾㼑㼟㼑㼍㼞㼏㼔㻌㻼㼞㼛㼓㼞㼍㼙㻌㻞㻜㻝㻣㻌䛆 CJ17-40 䛇SP2017-1
Title of Joint Research: Seismo-ionospheric Precursors of the Total Electron Content Probed
Ground-based Receivers and Space-based Radio Occultation GNSS Observations
Name of Principal Investigator:
Jann-Yenq Liu (National Central University, Taiwan)㻌 㻌
In this study, we apply the global ionosphere map (GIM) of the total electron tent (TEC) and the tomography on
the TEC derived from dense ground-based GNSS receivers to examine the temporal and spatial SIPs (seismoionospheric precursors) associated with the 2011 M9.0 Tohoku earthquake. The temporal study suggests that
the SIP characteristic in Japan is the TEC enhances 1-3 days before large earthquakes. The spatial analysesof 1D in latitudinal TEC and 2D in latitude-longitude GIM confirm the temporal SIPs being associated with the
Tohoku earthquake. The 2D TEC/electron density and 3D electron density structures are used to understandpossible causal mechanisms of SIPs.

䠍

BackGround
Objective
Methodology

䠎Conclusions

The background of this study is that SIPs of the GNSS TEC associated with large earthquakes havebeen studying intensively. There are dense ground-based GNSS receivers and many earthquake
events, which provides us a good chance for studying to study SIPs in Japan. The objective of thisstudy is to utilize the GM TEC and the ground-based GNSS TEC to find the temporal and spatial SIPs
associated with the 2011 M9.0 Tohoku earthquake. The methodology of this study is to derivemeasurements of ground-based GNSS receivers to remote sense the ionospheric TEC. We further
apply the median base to detect temporal SIPs of the GIM TEC, and conduct the spatial analysis ofglobal search on the distribution of the SIPs to confirm and locate possible forthcoming earthquakes.
To further study the fine structure and dynamics of the observed SIPs, a dense network of groundbased GNSS receivers is needed. By applying the Residual Minimization Training Neural Network(RMTNN) tomographic approach on the TEC between the GNSS satellite and the network receivers,
three̺dimensional fine structure of the ionospheric electron density can be obtained.
Brief descriptions of three (at maximum) conclusions
Conclusion 1: When a detected anomaly meets the statisticalresult of characteristic of SIPs, the polarity of positive or negative,
local time, duration period, leading day, etc. of previous
earthquakes at the same region, it may be considered thetemporal SIP being detected.
Conclusion 2: The time series of the GNSS TEC can be used todetect temporal anomalies at a certain location, while the spatial
analysis on the SIP persistence and frequency can be used toconfirm locate possible forthcoming large earthquakes.
Conclusion 3:The SIPs of the Tohoku earthquake is the TEC
and/or the upper ionospheric electron density anomalously
significantly enhance over the epicenter 1-3 days before the
Figure 1. The distribution of the 30-day extreme
earthquake
maximum (the positive anomaly) at each lattice(Figure 1).
with various repeats (or occurrence frequency)

Figure 2. Differential images of RMTNN tomographic results on theanomalous day, DOY67 (March 8, 2011). Warm and cold colors indicate
increase and decrease of electron density against the 15 days backward
median model. The bottom image shows the map of Japan and a red starmeans the epicenter. Liu et al., (AGU Book Chapter 2018)䠏

Effect/Outcomeduring the 5 days period of 6-10 March 2011
(DOY 65-69; 5-1 days before the Tohoku
earthquake). The red star and the open stardenote the Tohoku earthquake and its
conjugate point, respectively. The dashed circle
with the radius R=100.43M=7,413 km stands forthe earthquake preparation area of thelithosphere. Liu et al. (AGU Book Chapter
2018)

The result of this study is applied to find the characteristic of large earthquakes in various area of theworld.
The developed method of this study is applied to construct 3D ionospheric tomography to understandthe structure and dynamics (Figure 2).

― 82 ―

㻾㼑㼜㼛㼞㼠㻌㼒㼛㼞㼙㻌㼒㼛㼞㻌㻯㻱㻾㼑㻿㻌㻻㼢㼑㼞㼟㼑㼍㼟㻌㻶㼛㼕㼚㼠㻌㻾㼑㼟㼑㼍㼞㼏㼔㻌㻼㼞㼛㼓㼞㼍㼙㻌㻞㻜㻝㻣㻌䛆Joint Research No. CI17-101䛇P2017-3
Title of Joint Research: Assessment of Land-use-change Patterns on Rice Production in Watershed Area
Case study in Badung District-Bali, Indonesia
Name of Principal Investigator:
Anak Agung Keswari Krisnandika 䠄Udayana University 䠅䛆Abstract䛇 (Approximately 100 words)
Time series data were collected from five sub districts covering 53 villages during 2008-2016 in Badung
Regency shows that rice productivity trend tend to decline during nine years of observation especially in 20142016. Variability of the data that observed from the coefficient of variance show majority of villages (69.81%)
had stable condition of rice productivity ranging from middle and high category. Other 30.19% villages werecategorized as unstable ranging from low to high productivity. Analysis using bi-plot revealed that there is no
significant correlation between rainfall in sub district and rice productivity, implying that water is available
throughout the year.

䠍

BackGround
Objective
Methodology

䠎Conclusions

The background of this study㻌 is to meet the human needed of rice without extend the riceproduction area in Badung Regency since this area is a tourism-based economy and also
potentially for rice production.
The objective of this study is to analyze of trends and stability of rice productivity in Badung
regency.
The methodology of this study is using statistical data to obtain coefficient of variance (C.V) fromrice productivity in Badung Regency. This C. V. then inputted to Arc.Gis software to represent
the stability of rice productivity in every village in Badung Regency.

Brief descriptions of three (at maximum) conclusions
Conclusion1
Result of the study found that the majority of villages (69.81%) in
Badung Regency had stable condition of rice productivity, ranging
from middle and high during nine years of observation. This condition
showed that Badung Regency to some extent were able to maintainstability of rice production.

Fig.1 Rice productivity trend

over 9 years in Badung
Regency

Conclusion 2
This study also found two villages (Sulangai and Kuta) in Badung
Regency that have rice productivity below than the national average.
These villages also included to unstable rice productivity area basedon its C.V. These villages need to be given more attention to improvetheir productivity.
Conclusion 3
There is no significant correlation between rice productivity andrainfall in Badung regency based on Biplot analysis, that’s meanwater avalibility and management in Bali still in good condition.
Thiese result also implies, there are other factors that cause
instability and low productivity of rice in some areas of Badung Fig.2
Regency.

䠏Effect/OutcomeRicestabilityandproductivity in Badung
Regency from 2008-2016

Implication of this study is to pay more attention to two sub districts in tourism area to improvetheir rice productivity such as implementation of good agricultural practices.

― 83 ―

㻾㼑㼜㼛㼞㼠㻌㼒㼛㼞㼙㻌㼒㼛㼞㻌㻯㻱㻾㼑㻿㻌㻻㼢㼑㼞㼟㼑㼍㼟㻌㻶㼛㼕㼚㼠㻌㻾㼑㼟㼑㼍㼞㼏㼔㻌㻼㼞㼛㼓㼞㼍㼙㻌㻞㻜㻝㻣㻌䛆Joint Research No. CI17-102 䛇SP2017-1
Title of Joint Research:3D Land Mapping and Land Deformation Monitoring Using Persistent Scatterer
Interferometry (PSI) ALOS PALSAR: Validated by Geodetic GPS and UAV

Name of Principal Investigator:
Pakhrur Razi1,2, J.T.S. Sumantyo2, Daniele Perissin3, Hiroaki Kuze2, Ming Yam Chua2 and Good F. Panggabean2
Universitas Negeri Padang, Indonesia. 2, JMRSL, CERES, Chiba University, Japan. 3, Perdue University, US䛆Abstract䛇
This paper presents a research work on land mapping and land deformation monitoring carried out using
persistent scatterer interferometry (PSI) synthetic aperture radar (SAR) technique at Kelok Sembilan bridge
region. In this paper, 13 ascending Advanced Land Observation Satellite Phased Array L-band Synthetic
Aperture Radar (ALOS PALSAR) scenes, taken from July 2007 to November 2010, were processed using PSISAR technique. Then, the land deformation analysis was performed in two of the critical landslide areas near
the Kelok Sembilan bridge. For validation purpose, the results were compared with in situ ground measurement
data obtained using both differential global positioning system technique, and 3-D photogrammetry techniquebased unmanned aerial vehicle. The land deformation analysis showed that both of the investigation areas are
suffering a severe land movement of approximately -100 mm every year.

䠍
BackGround

Land deformation problems such as landslides and land subsidence occurring at Kelok Sembilan
are frequently mainly due to its complex surface topography and geology formation. Over the
past three years, 110 landslide incidents were identied, 35 in 2015, 11 in 2016, and 64 on March
3, 2017 This research aims to map and monitor land deformation using PSI-SAR technique.

Objective

Then, the results from the PSI-SAR analysis were further validated using 3D orthophoto anddifferential GPS geodetic data. The methodology of this study is Persistent scatterer
Interferometric (PSI) Synthetic Aperture Radar technique. The technique employed by exploiting

Methodology

multi SAR images (slave) over the same area with different time respect to one master image
geometry.

䠎Conclusions

Brief descriptions of three (at maximum) conclusions
Conclusion1
From the PSI-SAR processing, temporal land
deformation information such as velocity anddisplacement were obtained. From the analysis, several
landslide areas were successfully identified. Thismethod could detect the accumulation of land
deformation in the study area, Kelok Sembilan area.
Conclusion 2
PSI-SAR technique can be used to map and monitor
land deformation, and it could be increased the accuracy
by combination with the geocoded land deformation
contour map that was overlaid by the 3D orthophoto of
the study area.

䠏Effect/OutcomeConclusion 3
The results from PSI-SAR analysis were validated using
the data collected from in situ ground truth measurementfrom both the Geodetic GPS instrument and 3D
photogrammetry technique. Hence PSI-SAR technique
can be used to map and monitor land deformation
precisely, and UAV-based 3D photogrammetry can beas an alternate validation tool for precision groundsurvey.

Fig.1 Interferogram Master-slave

Fig.2 Land Deformation Map(examples)
land deformation information then can be benecial to the local authorities as part of the scientificinformation in drafting/amending policies to minimize the impacts caused by landslides― 84 ―

㻾㼑㼜㼛㼞㼠㻌㼒㼛㼞㼙㻌㼒㼛㼞㻌㻯㻱㻾㼑㻿㻌㻻㼢㼑㼞㼟㼑㼍㼟㻌㻶㼛㼕㼚㼠㻌㻾㼑㼟㼑㼍㼞㼏㼔㻌㻼㼞㼛㼓㼞㼍㼙㻌㻞㻜㻝㻣㻌䛆Joint Research No. CI17-103 䛇P2017-3
㻌 Title of Joint Research: Generation of dense time series synthetic Landsat data throughblending Landsat and MODIS data using cloud-free pixels
Name of Principal Investigator:
Jin Chen㻌 䠄Faculty of Geographical Science,, Beijing Normal University䠅䛆Abstract䛇 (Approximately 100 words)
NDVI time series data with both high spatial and temporal resolution are required in many applications. Noneof current sensors provides such data. In the study, a new hybrid model (HysNDVI) is presented to blend thecoarse resolution data (MODIS) and the fine resolution data (Landsat). In HysNDVI, spatial information ofLandsat images and temporal information of MODIS images are combined by Bayesian Model Averaging
method. Moreover, HysNDVI can also use Landsat images partially contaminated by clouds. Experiments
show that the proposed method has robust performance under different situations.

䠍

BackGround
Objective
Methodology

The background of this study: NDVI time-series data are widely employed in ecosystem
dynamics monitoring and biosphere process modeling. The coarse spatial resolution of theavailable NDVI time-series products prevents them from capturing spatial details necessary formonitoring land cover and ecosystem changes.
The objective of this study: Producing NDVI time series data with both high spatial and temporal
resolution
The methodology of this study: The HysNDVI is first to generate the temporal and spatial
increments using unmixing analysis and Thin Plate Spline interpolation (TPS) method and then,to combine them through a Bayesian Model Averaging (BMA) method.

䠎Conclusions

Brief descriptions of three (at maximum) conclusions
Conclusion 1 : A novel fusion model, namely HysNDVI, for producing
high spatiotemporal resolution NDVI time series was developed.

Conclusion 2 : HysNDVI is more accurate than the other typical fusion
models including NDVI-LMGM, STARFM and FSDAF. The prediction
accuracy of HysNDVI is higher in both areas with great heterogeneity
and areas with land cover changes.

Fig.1 Flowchart of HysNDVI

Conclusion 3 : In HysNDVI, temporal prediction and spatial
interpolation are combined by BMA, producing a more accurateincrement. Besides, the application of partially contaminated finedata provides extra information of fine pixels which benefits thefusion process.

Fig.2 Landsat NDVI estimations by NDVI-LMGM
STARFM , FSDAF and HysNDVI䠏Effect/Outcome(examples)
The developed method is applied to produce NDVI time series data with both high spatial andtemporal resolution for ecosystem dynamics monitoring and biosphere process modeling.

― 85 ―

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― 86 ―

㻾㼑㼜㼛㼞㼠㻌㼒㼛㼞㼙㻌㼒㼛㼞㻌㻯㻱㻾㼑㻿㻌㻻㼢㼑㼞㼟㼑㼍㼟㻌㻶㼛㼕㼚㼠㻌㻾㼑㼟㼑㼍㼞㼏㼔㻌㻼㼞㼛㼓㼞㼍㼙㻌㻞㻜㻝㻣㻌䛆Joint Research No. CI17-108 䛇SP2017-1
㻌 Title of Joint Research: Application of space and ground technologies for disaster risk mitigation:
Multi-sensor Web for earthquake early detection.
Name of Principal Investigator:
Dimitar Ouzounov, Chapman University, CA ,USA㻌This proposal represents an innovative approach for integrating multi parameter sensor networks of preearthquake signal caused by increasing stress in the Earth’s crust prior to earthquakes. Latest observations
from space and ground have provided multiple evidences for detection of pre- earthquake signals and thelatest studies show their statistical significance, repeatability, and universality. The objective is thedevelopment of crosscutting Sensor web, which utilizes targeted sensor networks (global remote-sensing
satellite data, space plasma parameters from GPS/TEC, simultaneously with ground observations to detect
pre-earthquake phenomena) in order to achieve a forecast solution.

䠍

BackGround
Objective
Methodology

䠎Conclusions

The background of this study is based on the Lithosphere-Atmosphere- Ionosphere Coupling(Pulinets and Ouzounov, 2010), relating seismicity with the atmospheric /ionospheric signals is
one of the working model for the future Sensor Web system
The primary goal of our efforts will be focused on the validation of the atmospheric earthquake
signals to gain a better understanding of earthquake process and support future application inearthquake monitoring and forecasting
The methodology of this study is the development of crosscutting Sensor web, which utilizes
targeted sensor networks (global remote-sensing satellite data, space plasma parameters from
GPS/TEC, simultaneously with ground observations to detect pre-earthquake phenomena) inorder to achieve a novel solution
Brief descriptions of three (at maximum) conclusions
Conclusion1
Our initial results suggest that systematic use of multi-parameter
observations can be used for additional physical validation of
ntts
n
s..
pre-seismic processes associated with the major earthquake events.
Conclusion 2
Our preliminary results show correlation between theappearance of pre-earthquake transients anomalies inatmosphere and ionosphere (with a short time-lag, from hours
up to few days) and the occurrence of 2016 Kumamoto,Japan earthquake series.
Conclusion 3
Our initial prospective tests show that multi-parameter analysis
could reveal short-term pre-earthquake anomalies prior to
the largest earthquakes.
Fig.1

䠏

Effect/Outcome

The pre-earthquake effect sof M7 earthquake in Kumamoto, Japan seen with different observations; A. Time series of OLR night time
data for 2016 (red columns) for location near to the Kumamoto epicenter. OLR anomalies for 2015 with no major seismic activities(blue columns). Gray line is 2016 OLR daily values. Seismic events with M4.5+ (EMSC) for 2014 (bottom); B. Shake map (USGS) ; C.
30 days of dTEC mask for receiver GMSD centered to the day of earthquake - 04.16.2016; D -30 days integration graph for OLR,DTEC and ACP. With shaded areas – anomalous patterns, with white triangles – time mark of EQ occurrence.

Our products of long time series (OLR, GPS/TEC, plasma,) over several areas of validation in Japan.
help to justify the abnormal level of change over the expected time scale. The broader impact of thisproject includes advancing our knowledge of earthquake phenomena, towards multisensory
observations and data analysis . A detail summary of our approach will be subsequently published in a
new volume as part of the AGU Geophysical Monograph series and is intended to show the variety ofparameters seismic, atmospheric, and geochemical and the historical perspective of this research andcould bring this topic to a broader geosciences community.

― 87 ―

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― 89 ―

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― 90 ―

S/! Dpsefsp!Ī 3129ī
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― 91 ―

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;! Vmusbwjpmfu! Sbejbujpo! jo! uif! Bubdbnb! Eftfsu-! Boupojf! wbo!
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― 92 ―

ĪႨࣕಫ୽īĆ! ࡜েဿ຦ɈૢํĂJTCO:89.5.365.2723:.9! D4655Ă೔583ʲĜʐĪ෥ೲங๑3128༃22ॢ୸ཹĂ၂ଞćટರୌ૭ĂࢼුīĪႨഽ‫ݣ‬ცĆ໴৮ల઺ĆᥓນஶાīĆ! ණ࢝ࠫപɈளᅰ৭೻Ʌ࠲ɩɥ౦‫ޢ‬຦৐Ɉယ಑Ă࡜௣ॸ࢞ʦĜʠ൦345ਖĪ໲Ⴈ࡜௣ߔ‫ޏ‬3128༃21ॢ୸ཹĂʗʑʇʭʁĜʑ਒๱‫ˇݛ‬Ĝʅˋʈʈ˃ĜʯʹˋʨĜࢼුī
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― 93 ―

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― 94 ―

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Ć! Jdijj!L;!BtjbGmvy!vqebuft-!GMVYOFU!dpogfsfodf!3128-!Cfslfmfz-!VTB-!Kvof!3128― 95 ―

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ĪJTBS.6īĂຄࢶĂKbovbsz!3129― 96 ―

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Ć! Qsbof! N! Poh-! Opgfm! Mbhsptbt-! Ubutvp! Tijjob-! Ijspblj! Lv{f;! Ejvsobm! cfibwjps! pg! bfsptpm! fyujodujpo!
dpfggjdjfou!cbtfe!po!mjebs!boe!hspvoe!tbnqmjoh!jotusvnfoutĂ൦46‫˄ޑ‬ĜʎʓˋʏˋʈʏˋʵʐɾʸĂຄࢶ๬ழࣸ‫ۈ‬Ă3128༃Ǖॢ
Ć! ྅๜൥ࡦĂܼ୸ఒ‫ێ‬ᇾĂ࢏౦৘ცĂठঈᄼષĂPBT ၭɅɢɥ౺ߤࠞࣃ५ɅȤȫɥ DP3༏๱Ɉोപɂॳ௠Ă൦53‫ޑ‬๲ᄄ௶ၡߔʏˋʵʐɾʸĪહʜඇī3128༃Ǖॢ39໲ġ3:໲
Ć! ྅ೲ೑ሆĆᤁા෸ৠĆ࢏౦৘ცćC36! ‫ܒ‬౳‫ކ‬ജஐᆅɈȹɛɈोધ࡙ࠞࣃɈʋˋʞʢ‫ݛ‬Ă໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬ā൦74‫ޑ‬Īိ౰3:༃๱୑ࡠīߔ୹ਆ‫ޏܩ‬ĂઑႦ!ᅷ༔ߔ‫ܠ‬൥ߔĂ3128༃22ॢ
Ć! O/! Mbhsptbt! boe! I/! Lv{f;! Q83! Ipvsmz! usfoet! pg! ojhiuujnf! dmpve! dpwfs! pctfswbujpot! jo! Dijcb! vtjoh! b!
hspvoe.cbtfe! ejhjubm! dbnfsbĂ໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬ā൦74‫ޑ‬Īိ౰41༃๱୑ࡠīߔ୹ਆ‫ޏܩ‬Ăઑ
Ⴆ!ᅷ༔ߔ‫ܠ‬൥ߔĂ3128༃22ॢ
Ć! Qsbof! Nbsjfm! Poh-! Ubutvp! Tijjob-! Opgfm! Mbhsptbt-! boe! Ijspblj! Lv{f;! Q7:! Bfsptpm! Fyujodujpo! ofbs! uif!
Hspvoe!Mfwfm!Jowftujhbufe!cz!uif!QmboQptjujpo!Joejdbups!Mjebs-!Tmbou!Qbui!Mjebs!boe!Wjtjcjmjuz!NfufsĂ໲― 99 ―

Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬ā൦74‫ޑ‬Īိ౰42༃๱୑ࡠīߔ୹ਆ‫ޏܩ‬ĂઑႦ!ᅷ༔ߔ‫ܠ‬൥ߔĂ3128༃22ॢ
Ć! Ⴢ‫ୃࡹ܊‬ĂOpgfm! MbhsptbtĂඹ໘‫ܤ‬࿧Ă࢏౦৘ცĂʀɺ˅ʖ˃ˁɼʘĜ྘ोപɈȹɛɈ @ ʑʲʇʠ˃ယ‫ސ‬༑ˁɼʘĜɈ౿੼Ă൦54‫ ޑ‬TJDF ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸĪ୑ᅝঈī3129༃ǏॢǕ໲Ć! Poh!Qsbof!Nbsjfm-!Ubutvp!Tijjob-!Obpijsp!Nbobhp-!Ijspblj!Lv{f-!Ijsplj!Tfotiv-!Obpijup!Pupcf-!Hfpshf!
Ibtijnpup-! Qiztjdbm! Gfbuvsf! Efsjwbujpo! pg! Tjnvmbufe! Uxjtufs! vtjoh! 21dn4! MFE! Mjebs-! ൦54‫ ޑ‬TJDF ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸĪ୑ᅝঈī3129༃ǏॢǕ໲Ć! ʏʻʭʉʞɻ! ɺ˂ʭĂᓹā‫ږ‬ಈĂกშൿᅂĂ࢏౦৘ცĂˁˋʘʸ༲ଋ໘ɁɈྥ‫ޑ‬ಠ৉౺౰௸ॣɈ৽ઍĂ൦
54‫ ޑ‬TJDF ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸĪ୑ᅝঈī3129༃ǏॢǕ໲
Ć! Opgfm! Mbhsptbt! boe! Ijspblj! Lv{f-! Pctfswfe! sfmbujpotijq! cfuxffo! ojhiuujnf! dmpve! dpwfs! boe! hspvoe!
nfufpspmphjdbm!qbsbnfufst-!൦54‫ ޑ‬TJDF ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸĪ୑ᅝঈī3129༃ǏॢǕ໲Ć! ഝ๜०໩Ăᤁા෸ৠĂ࢏౦৘ცĂ๜ෂāᄬĂཆ࠾ᆏྷĂാᅣ৉ɬᆀᅙȱȹदᅶ˄ɓ˃ɁɈʑʗˋʡʂʭఆဘ
ॊ৉പฤĂ൦54‫ ޑ‬TJDF ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸĪ୑ᅝঈī3129༃ǏॢǕ໲Ć! ಹರථৠĂ൥งுৗĂ೐๜‫ݠ‬఑Ă࢏౦৘ცĂນ๜‫ދ‬་Ă࢔‫܊‬९ცĂ˄ĜʎĜᄾࡧʮ˄Ĝʇʘɾˋယ৉ၭɬᅙ
Ȟȹ൥࡜ෂʀɺ˅ʖ˃Ɉ˂ʺĜʠ౰ယယ಑଴ၭɅ৐ȫɀĂ൦54‫ ޑ‬TJDF ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸĪ୑ᅝঈī3129༃ǏॢǕ໲Ć! ഝ๜०໩Ăᤁા෸ৠĂႨ࠰਑ࡦĂഺ௄‫ݡ‬໖ાĂࢀഺॾ‫ێ‬Ăழ໤ᄽૂĂ࢏౦৘ცćാᅣ৉ɬᆀᅙȱȹदᅶ˄ʱ
˃ɁɈʑʗˋʡʂʭఆဘॊപฤĂ൦76‫ܾޑ‬ᅙဘᆅߔ‫୹ߔࡠ୽!ޏ‬ਆ‫ޏܩ‬Ăഁ‫ے‬๜൥ߔĂ3129༃ǏॢĪࣷນூྷī
Ć! Yjgboh! Xv-! Zbokvo! Tifo-! Bljijlp! Lpoepi;! Ftujnbujpo! pg! Xbufs! Dpotvnqujpo! pg! Xjoufs! Xifbu! jo! uif!
Opsui!Dijob!Qmbjo!Vtjoh!Sfnpuf!Tfotjoh!Ufdiopmphz-!KqHV.BHV!Kpjou!Nffujoh!3128ĂႷෟʹʛʓਡ੫
‫ࡼޏ‬௲Ă3128༃Ǒॢ
Ć! ࣷ ນ ூ ྷĂ ៤ā ࠀĂ ๜ ෂā ऱćVBW Ʌ ɢ ɥ ‫ ݻ‬൨ ‫ ސ‬ड़ ळ ˂ ʺ Ĝ ʠ ʓ ˋ ʏ ˋ ʈ Ɉ ై మĂKqHV.BHV! Kpjou!
Nffujoh!3128ĂႷෟʹʛʓਡ੫‫ࡼޏ‬௲Ă3128༃Ǒॢ
Ć! Ⴅ৮౱ୃĂ៤āࠀĂນഺᅝાĂࣷນூྷćۗᘧைᆔ‫ۊ‬ɅȤȫɥ඾೧࿹‫ݷ‬ᆲɈ੔ॳບĂKqHV.BHV! Kpjou!
Nffujoh!3128ĂႷෟʹʛʓਡ੫‫ࡼޏ‬௲Ă3128༃Ǒॢ
Ć! ɺɼʭʶ˃āʧ˂ʯĂߐā‫܉‬ସĂࣷນூྷćထౘ‫ܒ‬౳Ɉ૪ृᇙࠫപʟĜʗɅɢɥʨˋʈˁʟʏʽɈෳࡖ࠰‫ޠ‬࠹ೀဿ‫୸ॳݛ‬ĂKqHV.BHV!Kpjou!Nffujoh!3128ĂႷෟʹʛʓਡ੫‫ࡼޏ‬௲Ă3128༃Ǒॢ
Ć! Bljsb! Ibnb-! Lfj! Uboblb-! Butvtij! Npdij{vlj-! Ijspzvlj! Bsbj-! Uptijzvlj! Ijsbub-! Szvzb! Zbxbub-! Fvojdf!
Oevbuj-! Zbtvp! Utvsvplb-! Bljijlp! Lpoepi;! Ftujnbujpo! pg! Sjdf! Zjfme! Cbtfe! po! uif! Joufhsbujpo! pg! VBW!
Sfnpuf! Tfotjoh! boe! Tpmbs! Sbejbujpo! Ebub-! KqHV.BHV! Kpjou! Nffujoh! 3128ĂႷෟʹʛʓਡ੫‫ࡼޏ‬௲Ă
3128༃ǑॢĆ! ࣷນூྷć෰ߔ੫ॸ࢞ɈଌএɅȤȫɥ‫ݻ‬൨ĂKqHV.BHV!Kpjou!Nffujoh!3128ĂႷෟʹʛʓਡ੫‫ࡼޏ‬௲Ă3128༃
Ǒॢ
Ć! Xfj! Zboh-! Cvolfj! Nbutvtijub-! Ublfijlp! Gvlvtijnb-! Bljijlp! LpoepićSfnpuf! Ftujnbujpo! pg! Fvqipujd!
[pof! Efqui! gps! Uvscje! Jomboe! Xbufst;! B! Dbtf! Tuvez! jo! Mblf! Lbtvnjhbvsb-! Kbqbo-! KqHV.BHV! Kpjou!
Nffujoh!3128ĂႷෟʹʛʓਡ੫‫ࡼޏ‬௲Ă3128༃Ǒॢ
Ć! ೤࿳৮ቴࡢĆާᣢ‫ێ‬ᇾĆࣷນூྷćʺˋʌ˃ɅȤȫɥഐႨఆဘɈʭɿʦ˅ʐĜဿ຦ɂȷɈᅟۚĂ໲Ⴈණᆅߔ
‫ࡠ୑ޏ‬൥‫ޏ‬Ăજ୭൥ߔĂ3128༃ǕॢĆ! ៤āࠀĆ๜ෂāऱĆႊॢāຼĆป݊য়࿧ĆࣷນூྷćVBW ˂ʺĜʠʓˋʏˋʈɅɢɥ౉‫ے‬Ɉ౺‫ۋ‬Ɉ࿚ହູ౯
ʺʣʗ˂ˋʈĂ໲Ⴈණᆅߔ‫ࡠ୑ޏ‬൥‫ޏ‬Ăજ୭൥ߔĂ3128༃ǕॢĆ! ࠾‫ྰ࢏ۈ‬ાĆ൫āሆ࿧Ć໥๜āᆚĆ๜ഺ‫ݣ‬་ĆࣷນூྷĆ៤āࠀĆႥ৮౱ୃćۗᘧைᆔ‫ۊ‬Ɉඇ෿ɅȤȫɥ඾೧૵௺੼ᅙɅ࠲ȳɥ෮ੈĂ໲Ⴈණ‫ࡠ୑ޏߔ౉ݚ‬ਆ‫ޏܩ‬Ăৠ೐൥ߔĂ3128༃21ॢ
Ć! ៤āࠀĆ๜ෂāऱĆႊॢāຼĆป݊য়࿧ĆࣷນூྷćVBW ˂ʺĜʠʓˋʏˋʈɂ࡜௣ʟĜʗɈຕਗɅࡊȿȩ౉‫ے‬ɈେᆲȤɢɍʗˋʩʇ࠸ᄵᆲɈైฤĂ໲Ⴈଖణപᆲߔ‫ိޏ‬౰3:༃๱୑ࡠߔ୹ਆ‫ޏܩ‬Ăۧငીဦ‫࠵ޏݛ‬Ă
3128༃22ॢĆ! ೤࿳৮ቴࡢĆާᣢ‫ێ‬ᇾĆࣷນூྷćʺˋʌ˃ɅȤȫɥഐႨఆဘɈʭɿʦ˅ʐĜဿ຦ɂȷɈᅟۚĂ໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬൦74‫ޑ‬Īိ౰3:༃๱ī୑ࡠߔ୹൥‫ޏ‬Ăᅷ༔ߔ‫ܠ‬൥ߔĂ3128༃22ॢ
Ć! ៤āࠀĆ๜ෂāऱĆႊॢāຼĆป݊য়࿧ĆࣷນூྷćVBW ˂ʺĜʠʓˋʏˋʈɅࡊȿȩ౉‫ے‬Ɉ঎ဴʗˋʩʇ
࠸ᄵᆎైฤɂჍɈʈˁʭ‫ݛ‬Ă໲Ⴈණᆅߔ‫ޏ‬Ăຄࢶߔ॑൥ߔĂ3129༃Ǐॢ― 100 ―

Īˀʍʭɹʛʠ!ʞʠʁʋ!ʑ˂!ʑʶˋʞɻˀī
Ć! Kptbqibu!Ufuvlp!Tsj!Tvnbouzp;!Tzouifujd!Bqfsuvsf!Sbebs!pocpbse!Bjsdsbgu!gps!Ejtbtufs!Npojupsjoh!bu!
Joepoftjbo!Bsfb-!Tzouifujd!Bqfsuvsf!Sbebs!Xpsltipq-!Nbcft!UOJ.BVĂ3128༃ǐॢ
Ć! Kptbqibu! Ufuvlp! Tsj! Tvnbouzp;! Ejbtqpsb! Dpousjcvujpo! po! Joufsobujpobm! Bdbefnjd! boe! Sftfbsdi!
Bdujwjujft-! Dpmmbcpsbujpo! cfuxffo! Joepoftjbo! Fncbttz! Uplzp-! Dpotvmbuf! Hfofsbmf! Ptblb-! boe!
Vojwfstjubt!Joepoftjb-!Qvtbu!Tuvej!Kfqboh-!Vojwfstjubt!JoepoftjbĂ3128༃ǐॢ
Ć! Kptbqibu! Ufuvlp! Tsj! Tvnbouzp;! Joopwbujwf! Njdspxbwf! Sfnpuf! Tfotjoh;! Efwfmpqnfou! pg! Bewbodfe!
Njdsptbufmmjuf!TBS-!Vojwfstjubt!Joepoftjb-!Efqbsunfou!pg!Fmfdusjdbm!FohjoffsjohĂ3128༃ǐॢ
Ć! Kptbqibu!Ufuvlp!Tsj!Tvnbouzp;!Efwfmpqnfou!pg!Bewbodfe!Tzouifujd!Bqfsuvsf!Sbebs!pocpbs!Bjsdsbgu!
boe! Njdsptbufmmjuf! gps! Ejtbtufs! Npojupsjoh-! Hbekbi! Nbeb! Vojwfstjuz!ĪVHNī-! Gbdvmuz! pg! HfphsbqizĂ
3128༃Ǒॢ
Ć! Kptbqibu!Ufuvlp!Tsj!Tvnbouzp;!Ftubcmjti!uif!Tuboebse!Rvbmjuz!pg!Wpdbujpobm!Tdippm!Hsbevbuf!up!Gbdf!
uif! BTFBO! Rvbmjgjdbujpo! Tljmm! Dpnqfufodjft-! Joepoftjb! Obujpobm! Tljmm! Dpnqfujujpo! 3128! Joufsobujpobm!
Tfnjobs-!Vojwfstjubt!Tfcfmbt!NbsfuĂ3128༃Ǒॢ
Ć! Kptbqibu! Ufuvlp! Tsj! Tvnbouzp;! Tfotps! Ufdiopmphz-! Nbufsjbm! boe! Bqqmjdbujpo! pg! Tzouifujd! Bqfsuvsf!
-! Hfevoh!
Sbebs! up! Npojups! Joepoftjbo! Obuvsbm! Sftpvsdft-! Jotujuvu! Uflopmphj! Tfqvmvi! Tvsbcbzb!ĪJUTī
Qbtdb!Tbskbob!JUTĂ3128༃Ǖॢ
Ć! Kptbqibu!Ufuvlp!Tsj!Tvnbouzp;!Efwfmpqnfou!pg!Djsdvmbsmz!Qpmbsj{fe!Tzouifujd!Bqfsuvsf!Sbebs!pocpbse!
Njdsptbufmmjuf-! GHE! Qfslfncbohbo! Uflopmphj! Tbufmju! ej! Joepoftjb!ĪMbqbo! B2.B6ī-! Jotujuvu! Uflopmphj!
Tfqvmvi!Opqfncfs!ĪJUTī
Ă3128༃Ǖॢ
Ć! Kptbqibu!Ufuvlp!Tsj!Tvnbouzp;!Qfohfncbohbo!Uflopmphj!Tzouifujd!Bqfsuvsf!Sbebs!vouvl!Qfsubibobo!
Joepoftjb-!Vojwfstjubt!Tfcfmbt!Nbsfu!
ĪVOTī-!Efqbsunfou!pg!Fmfdusjdbm!FohjoffsjohĂ3128༃Ǖॢ
Ć! Kptbqibu! Ufuvlp! Tsj! Tvnbouzp;! Efwfmpqnfou! pg! Tzouifujd! Bqfsuvsf! Sbebs! pocpbse! Bjsdsbgu! boe!
Njdsptbufmmjuf-!Njojtusz!pg!Joufsobm!Bggbjst-!KJDB-!boe!KFUSPĂಫᅝ൥ߔĂ3128༃21ॢ
Ć! Kptbqibu! Ufuvlp! Tsj! Tvnbouzp;! Efwfmpqnfou! pg! Tzouifujd! Bqfsuvsf! Sbebs! pocpbse! Bjsdsbgu! boe!
ĪCQQUī-!Kblbsub!JoepoftjbĂ3128༃21ॢ
Njdsptbufmmjuf-!Cbebo!Qfohlbkjbo!ebo!Qfofmjujbo!Uflopmphj!
Ć! Kptbqibu! Ufuvlp! Tsj! Tvnbouzp;! Qfmvboh! ebo! Uboubohbo! tfcbhbj! Blbefnjtj! ej! Kfqboh-! Tfnjobs!
Npujwbtj! ebo! Xpsltipq-! Nfnjmji! zboh! Ufscbjl-! LNLJ! '! Lfevubbo! Cftbs! Joepoftjb! Uplzp-! Tflpmbi!
Sfqvcmjl!Joepoftjb!UplzpĂ3128༃21ॢ
Ć! ဦ‫ݎ‬ā஧Ă໧༜‫ࡩێ‬ĂKptbqibu!Ufuvlp!Tsj!Tvnbouzpćʕʭʠʋɺ DQV ɬᅙȞȹ DQ.TBS ‫ކ‬ജஐᆅʏʑʞʸĂ๝ા௶ၡฆఒߔ‫ ޏ‬GJJT ॸ࢞‫ޏ‬Ăື๿൥ߔ!৙ࣞ‫࠵ޏ‬ǎިʓʷʢĜଆĂ3128༃21ॢ
Ć! Kptbqibu! Ufuvlp! Tsj! Tvnbouzp;! Cfzpoe! uif! Tusbufhz! pg! Jnqspwjoh! uif! Fdpopnjd! Hspxui! cz!
uif! Ivnbo! Sftpvsdf! Nbobhfnfou-! Uif! 8! uif! Joufsobujpobm! Tznqptjvn! po! Vojwfstbm! Ofuxpsljoh!
Fnqpxfsnfou!Pshboj{bujpo!Tuvefout!ĪVOFPTī-!Jup!Joufsobujpobm!Sftfbsdi!Dfoufs-!Uplzp!VojwfstjuzĂ
3128༃22ॢ
Ć! Kptbqibu! Ufuvlp! Tsj! Tvnbouzp;! Bqqmjdbujpo! pg! Tzouifujd! Bqfsuvsf! Sbebs! pocpbse! Bjsdsbgu! boe!
Njdsptbufmmjuf!po!Ejtbtufs!Npojupsjoh-!Obujpobm!Dijbp!Uvoh!Vojwfstjuz-!Ubjxbo!ĪQspg!Ujbo!Zvbo!Tijiī-!
Efqbsunfou!pg!Djwjm!FohjoffsjohĂ3128༃23ॢĪી‫ۈ‬ሆలīĆ! ᇑᄄሆᆯĂ௄ྪো໩Ăટ੸ā൥Ăી‫ۈ‬ሆలĂ྅๿૨ᄽĂᚄટ็੖ćࠞ႘࣡ʜˋʡˁɂ႘࣡൥‫ݭ‬ರᆔ‫ۊ‬Ɉ౉ஃ
ࠞဿ຦!Ľ3113༃ġ3127༃Ăಥ࿉ॸ࢞൥‫ޏ‬Ă୥໲෨Ă3128༃Ǖॢ
Ć! ࣷນ‫ދ‬౮Ă髙ᄄ৘ૂĂી‫ۈ‬ሆలĂੂཀ๜ปćʀ˃ʣĜʣʿ໤ၫచ຦Ʌൎܾȱȹࣷ༃Ɉᆌ‫ ۊ‬DP3࢓େĆ༧୸भ৐ćණ௫Ć‫ܒ‬౳ࠫപɅࡊȿȞȹ‫ڽ‬Ʉɥʯ˅ʘʇʠɈഊ঱྘ߏĂ໲Ⴈ࡜௣ߔ‫ޏ‬3128༃๱୑ࡠ൥‫ޏ‬ĂઑႦĂ
3128༃21ॢĆ! ી‫ۈ‬ሆలĂఆટ‫ދ‬లĂᄢāᄽ໩Ăழᆹ୐ୃćBtjbGmvy ʟĜʗɂ‫ܒ‬౳ʟĜʗɅɢɥঢ়‫ۊ‬ᆌ‫ۊ‬ဘଋஃࠞɈైฤĂ໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬൦74‫ޑ‬Īိ౰3:༃๱୑ࡠīߔ୹ਆ‫ޏܩ‬Ă৮်Ă3128༃22ॢ
Ć! ી‫ۈ‬ሆలćʭˁʛʇʑࠫപᄀɂ‫ܒ‬౳ʟĜʗɬᆀᅙȱȹঢ়‫ۊ‬ʭˁʛʇʑॸ࢞Ɉএ௻ĂKbqboGmvy! 21ୈ༃ࡥ༄ୠ
‫ޏ‬ĂȾȩɊĂ3129༃ǎॢĆ! ી‫ۈ‬ሆలćKbqboGmvy ɂ˂ʺĜʠʓˋʏˋʈɈᄜߠĂ൦37‫!ޑ‬౺ॸʭʁĜˁʸĶۧහȥɣɈණ࢝ࠞࣃĆ੠ޮɈʺʣʗ˂ˋʈɂ˂ʑʇ࿎‫ݟ‬ķĂຄࢶĂ3129༃Ǐॢ― 101 ―

Ć! ી‫ۈ‬ሆలĂఆટ‫ދ‬లĂࣷນ‫ދ‬౮ćBtjbGmvy ʟĜʗɬᆀᅙȱȹঢ়‫ۊ‬ᆌ‫ ۊ‬DP3ʭˁʛʇʑɈైฤɂȷɈܾᅙĂ໲Ⴈ༔ࣞ࡜௣ߔ‫ޏ‬86ୈ༃ࡥ༄൥‫ޏ‬Ăဏ݊Ă3129༃ǏॢĪႨഽ‫ݣ‬ცī
Ć! Opsjlp! Tpzbnb-! Lboblp! Nvsbnbutv-!Npupnbtb!Ebjhp-! Lpkj! Lbkjxbsb-! Zptijblj! Ipoeb;!Opsjlp! Tpzbnb-!
Lboblp!Nvsbnbutv-!Npupnbtb!Ebjhp-!Lpkj!Lbkjxbsb-!Zptijblj!Ipoeb-!Ejggfsfodft!cfuxffo!offemf.mfbwft!
GPSFTU!boe!cspbe.mfbwft!Gpsftu!GSPN!QTfVEp!nvmuj!EJSFDUJPOBM!pctfswbujpo!ebub-!Joufsobujpobm!
Tznqptjvn!po!Sfnpuf!Tfotjoh!3128-!Obhpzb!Vojwfstjuz!Ijhbtijzbnb!DbnqvtĂ3128༃Ǒॢ
Ć! Uptijzvlj! LPCBZBTIJ-! Ijsptij! NVSBLBNJ-! Zptijblj! IPOEB-! Lpkj! LBKJXBSB-! Zvitblv! POP-! Nbtbp!
NPSJZBNB-!Ijeflj!LPCBZBTIJ-!Lfomp!OBTBIBSB-!Sjtb!NJZB[BLJ-!boe!Nbtbijsp!IPSJ;!Efwfmpqnfou!
pg!Mboe!Qspevdut!Vtjoh!THMJ!Ebub-!3128!Joufsobujpobm!Tznqptjvn!po!Tqbdf!Ufdiopmphz!boe!TdjfodfĂ
ɌɛȨɭʳĜ˃Ī‫ڈ‬࿂ॻ௄ટીīĂ3128༃ǒॢ
Ć! Nbtbijsp! IPSJ-! Ijsptij! NVSBLBNJ-! Sjtb! NJZB[BLJ-! Zptijblj! IPOEB-! Lfomp! OBTBIBSB-! Lpkj!
LBKJXBSB-! Ublbtij! Z/! OBLBKJNB-! Ijuptij! JSJF-! Njutvijsp! UPSBUBOJ-! Upsv! IJSBXBLF-! Ufsvp!
BPLJ;! HDPN.D! ebub! wbmjebujpo! qmbo! gps! mboe-! bunptqifsf-! pdfbo-! boe! dszptqifsf-! 3128! Joufsobujpobm!
Tznqptjvn!po!Tqbdf!Ufdiopmphz!boe!TdjfodfĂɌɛȨɭʳĜ˃Ī‫ڈ‬࿂ॻ௄ટીī
Ă3128༃ǒॢ
Ć! Ⴈഽ‫ݣ‬ცć‫ބ‬ȦਡɈණ࢝ࠫപɈளᅰो‫ކ‬Ʌ࠲ȳɥอ঒ . ‫୹ࡳߔݨ‬തჶĂ৊ާʏˋʵʐɾʸĶ‫ބ‬ȦਡɈ‫ܒ‬౺ණ࢝ࠫപो‫ކ‬ķĂ໲Ⴈߔ୹‫ࡼޏ‬Ăຄࢶ๬Ă3128༃ǓॢĆ
Ć! ழટౖ࿧Ăࣸાᆚ་Ă൥ვᆚᅂĂ๧ᵛຼૂĂကྪāଌĪຄ൥ණరॸīĆᄢ៛ৗୁĪĪ຾ī‫ޠ‬ᅖॸ࢞ާཡ࡙৭īીঈāࠌĪშগ‫ݎ‬൥ߔīĆႨഽ‫ݣ‬ცĪಫᅝ൥ߔī
ć3122༃ఛ༇ߕလ‫ݮ‬ষɈ૱௲ဿ‫ݛ‬ȥɣəɥᇊࢉ‫ݿ‬าĂ‫ݮ‬ટߔ‫ޏ‬3128༃๱୑ࡠ൥‫ޏ‬ĂछႨ൥ߔਥལ໤ʅʻˋʩʑ৙ߔင࿄ୈ༃ࡥ༄࠵Ć৙ߔငǎਖ࠵Ă3128༃Ǖॢ
Ć! ๜ෂࡦ൥ĂႨഽ‫ݣ‬ცĂߝঈয়શćණ௫ MjEBS ɂ VBW ɬᅙȞȹᆹ໘Ǐ૫ই๘दɬᅙȞȹᆹယ৭ഢʩˁʹĜʗɈෆ୸Ʌ࠲ȳɥॸ࢞Ă໲Ⴈଖణപᆲߔ‫ိޏ‬౰3:༃๱୑ࡠߔ୹ਆ‫ޏܩ‬Ăۧငીဦ‫࠵ޏݛ‬Īટ৏ॻī
Ă3128༃22ॢ
Ć! ๜ෂྰ෿ࡢĂႨഽ‫ݣ‬ცĂߝঈয়શćǏ૫ই๘दʟĜʗɬᅙȞȹ MjEBS!༜व੔এɅȾȞɀɈॸ࢞Ă໲Ⴈଖణപ
ᆲߔ‫ိޏ‬౰3:༃๱୑ࡠߔ୹ਆ‫ޏܩ‬Ăۧငીဦ‫!࠵ޏݛ‬Īટ৏ॻīĂ3128༃22ॢ
Ī樋৏ຼૂī
Ć! ඇ๜ީ‫ࡢڃ‬ൣĂ๜ෂჺఒĂ樋৏ຼૂĂ๜ෂॿ૭Ă௫৏ॿ૭Ă‫ڤ‬࿩໖෿ાć࣡඘ਏ౉࿎‫ݟ‬ɂ࡜௣‫ސ‬಑ɈȹɛɈ!
BQISPEJUF ɺ˃ʌ˂ʒʸɈ‫ޜ‬ᆯĽ BQISPEJUF.3௘‫ގ‬ĽĂ໲Ⴈ࡜௣ߔ‫ޏ‬3128༃๱୽ࡠ൥‫ޏ‬Ăਡᆏʂ˂ˋ
ʬʛʇࡥ༄ಆவ༃഍ਗʓˋʗĜĂ3128༃Ǒॢ
Ć! ඇ๜ީ‫ࡢڃ‬ൣĂഝ๜໤༜Ă๜ෂॿ૭Ă樋৏ຼૂćBQISPEJUF.3Ʌɢɥʈ˂ʛʡਏ౉ᆲ੼౰ɺ˃ʌ˂ʒʸ‫ޜ‬ᆯġ஑ࡖ౰‫ݪ‬ġĂ3128༃๱౉ဦĆ౉૝঍ߔ‫࢞ॸޏ‬ཡ࿍‫ޏ‬Ă႘ॽ৙ࣞ൥ߔĂ3128༃Ǖॢ
Ć! 樋৏ຼૂć˂ʺĜʠʓˋʏˋʈࡳ୹ɂ౉ဦ‫ߔݨ‬Ă໲Ⴈ౉ဦ‫ޏߔݨ‬ಡᆏ41ୈ༃ࡥ༄ߔ୹൥‫ޏ‬Ăວࡥ༄৊ާ˄
ʫʽĜʵʑʗĜʓʛʏʿˋĶୈ၃ߔ୹ယᄘȤɢɍࡳ୹ཡ๐ɂ౉ဦ‫ߔݨ‬ķĂआ൲൥ߔఠ൲ʅʻˋʩʑ231ୈ༃ɺʃʟʷĜʳĜ˃Ă3128༃21ॢ
Ć! ෂ๿āৗĂ਒௄ஶ৘Ăෂ๿‫܇‬૖Ăඹෂ‫܉‬௃Ăഺ๜०ષĂ਒ഺმᅂĂ࿩๜໩જྷĂழટ०৘Ă‫ڤ‬င൥‫ގ‬Ă樋৏ຼૂćBNBUFSBTT ໲ଗ௶ၡɈॸ࢞ߤᅙɈ௻࣍ɂმ࠰ߤᅙɈ઱೨əĂ໲Ⴈ࡜௣ߔ‫ޏ‬3128༃๱୑ࡠ൥‫ޏ‬Ă႘‫ັޠ‬൥ߔߔ୹ৄᆔ‫࠵ޏ‬Ă3128༃21ॢ
Ć! 樋 ৏ ຼ ૂĂ ඹ ෂ ‫ ܉‬௃Ă ෂ ๿ ‫ ܇‬૖Ă ෂ ๿ā ৗĂ ഺ ๜ ० ષĂ ‫ ڤ‬င ൥ ‫ގ‬Ă ఝ ๜ ౸ ࡩĂ ౧ ট ᅂ ാĂ ࣌ Ⴈ ག ဦĂ
Sbnblsjtiob! Ofnbojćಇો࡜௣‫ܒ‬౳दɢɤຩ୸ȯɦȹ BNBUFSBTT ໲ଗ௶ၡɈ౦‫ޢ‬๐ާ! Ľණ࢝ࠞࣃ௶ၡ
ʯˁʛʠʭʁĜʸ৭භైమʯ˅ʈˁʸࡊࠎɺʯ˂ GT ɅɢɥॳບĂ਱ষɈ๐ާĽĂ໲Ⴈ࡜௣ߔ‫ޏ‬3128༃๱୑ࡠ൥‫ޏ‬Ă႘‫ັޠ‬൥ߔߔ୹ৄᆔ‫࠵ޏ‬Ă3128༃21ॢ
Ć! ၹ຀৹‫ێ‬Ă樋৏ຼૂĂ୑ইဦ৮Ăഝ‫܊‬ৰྷćHQN!LvĆLb!˄ĜʘĜɅȤȫɥਏ౉ණ‫ູۊ‬౯྘ߏĂ໲Ⴈ࡜௣ߔ
‫ޏ‬3128༃๱୑ࡠ൥‫ޏ‬Ă႘‫ັޠ‬൥ߔߔ୹ৄᆔ‫࠵ޏ‬Ă3128༃21ॢ
Ć! ஜ࿩ሆధĂངᄢാᇾĂழᆹဦცĂ൩ᄘ࿢ცĂ樋৏ຼૂĂ਒ഺმᅂćʭɿĜʒʡɺ˄ɼ࡜௣˄ĜʘɅɢɥಓᅸ
‫܀‬Ɉજ૫ই࿍૲Ă໲Ⴈ࡜௣ߔ‫ޏ‬3128༃๱୑ࡠ൥‫ޏ‬Ă႘‫ັޠ‬൥ߔߔ୹ৄᆔ‫࠵ޏ‬Ă3128༃21ॢ
Ć! ஜ࿩ሆధĂངᄢാᇾĂழᆹဦცĂ൩ᄘ࿢ცĂ樋৏ຼૂĂ਒ഺმᅂĂ࠾‫࢏ݚ‬ఱćʭɿĜʒʡɺ˄ɼ࡜௣˄ĜʘɁࠫപȯɦȹ3127༃ǔॢǐ໲Ɉʄʑʠʭ˅ˋʠĂ໲Ⴈ࡜௣ߔ‫ޏ‬3128༃๱୑ࡠ൥‫ޏ‬Ă႘‫ັޠ‬൥ߔߔ୹ৄᆔ‫ޏ‬࠵Ă3128༃21ॢ
Ć! ஧ငāਛĂ樋৏ຼૂĂၹ຀৹‫ێ‬ćࣷ༃Ɉ‫݋‬໢༳۫ɅȤȫɥவ۫໲ഝ‫ݡ‬Ɉᅟۚ‫ސ‬಑Ă໲Ⴈ࡜௣ߔ‫ޏ‬3128༃๱୑ࡠ൥‫ޏ‬Ă႘‫ັޠ‬൥ߔߔ୹ৄᆔ‫࠵ޏ‬Ă3128༃21ॢ

― 102 ―

Ć! ᇑᄄয়ୃĂழදয়ാĂ‫ݭ‬ഺᅖိĂ൩ᄘ࿢ცĂ਒ഺმᅂĂ樋৏ຼૂĂழᆹဦცĂངᄢാᇾĂஜ࿩ሆధĂ঴ā৘ύĂੂນ਑૊Ă࠾‫࢏ݚ‬ఱĂᄚ๜൱ᄓćʷ˂༜‫˄܀‬ĜʘĜGBMDPO.J Ʌɢɥಫᅝ൥ߔ࿥ࣷɈ‫ࡖݤ‬ୠෂࠫപĂ໲Ⴈ൥࡜๝࡜ߔ‫ޏ‬൦:7‫࢞ॸޑ‬ཡ࿍‫ޏ‬Ăຄࢶᆅ‫ݨ‬൥ߔĂ3129༃ǍॢĆ! ఝ๜໲৐Ăᇑᄄয়ୃĂழදয়ാĂෂఝঢ়ാĂ൩ᄘ࿢ცĂ‫ݭ‬ഺᅖိĂෂ๜ᄽ་Ă൥ᄚৰൣĂ਒ഺმᅂĂ樋৏ຼૂĂழᆹဦცĂངᄢാᇾĂஜ࿩ሆధĂ࠾‫࢏ݚ‬ఱćʷ˂༜˄Ĝʘ! GBMDPO.J ɂ Y ʨˋʡʭɿĜʒʡɺ˄ɼ˄ĜʘɅɢɥ3127019013ɅಫᅝીɁཡ౺ȱȹಓᅸ‫܀‬ɈࠫപĂ໲Ⴈ൥࡜๝࡜ߔ‫ޏ‬൦:7‫࢞ॸޑ‬ཡ࿍‫ޏ‬Ăຄࢶᆅ‫ݨ‬൥ߔĂ3129༃ǍॢĆ! ঢ়౧მૂĂ樋৏ຼૂĂ୭āஶ‫ێ‬ĂટႨ୉ஶćɺʐɺʺˋʑĜˋ‫ۊ‬ɅȤȫɥɌɘɩɤǔਖਏ۫ైฤʯ˅ʘʇʠ
Ɉ౼๱ॳ௠ĂHTNbQ Ȥɢɍ‫ܒ‬౳ʏʷʽ˄Ĝʗਗວॸ࢞ୠ‫ޏ‬Ăშগ‫ݎ‬൥ߔĂ3129༃Ǐॢ
Ć! 樋৏ຼૂĂᄘ៛లષĂஜ࿩ሆధĂழᆹဦცĂ൩ᄘ࿢ცĂ਒ഺმᅂĂ࠾‫࢏ݚ‬ఱĂඹෂ‫܉‬௃Ăෂ๿āৗćɌɘɩɤǔਖɂʭɿĜʒʡɺ˄ɼ࡜௣˄Ĝʘວ૪ࠫപɅɢɥ3127༃ǔॢǐ໲Ɉႈ഍཰๿Ɂཡ౺ȱȹಓᅸ‫܀‬Ʌ࠲ȳɥૢᇉ‫ސ‬಑ĂHTNbQ Ȥɢɍ‫ܒ‬౳ʏʷʽ˄Ĝʗਗວॸ࢞ୠ‫ޏ‬Ăშগ‫ݎ‬൥ߔĂ3129༃ǏॢĪႨࣕಫ୽ī
Ć! 髙࣌ᄬ஝ĂႨࣕಫ୽Ă๜ഺ‫੼܉‬ĂHvobsej! TjhjuĂCbcb! Cbsvtć˂ʺĜʠʓˋʏˋʈʟĜʗɬᅙȞȹ౉‫ے‬ཆᅝড࿒Ɉ཯်Ă໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬൦74‫୹ߔޑ‬ਆ‫ޏܩ‬Ă໲ႨĂ3128༃22ॢ
Ć! ๲ੂ൱ັ ĂႨࣕಫ୽ Ă๜ഺ‫ ੼܉‬ĂHvobsej! TjhjuĂCbcb! CbsvtćTfoujofm.2ʟĜʗɬᅙȞȹ౉‫੼ے‬࿥૪ࡖɈ཯
်Ă໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬൦74‫୹ߔޑ‬ਆ‫ޏܩ‬Ă໲ႨĂ3128༃22ॢ
Ć! ႞ā‫ދ‬য়ĂႨ࠰਑ࡦĂႨࣕಫ୽ćʡ˅Ĝˋऋએ‫ކ‬ജɂ੼ဘʺʟ˃Ɉວ‫ݛ‬Ʌɢɥ౉‫ے‬Ɉ౺‫ۋ‬ȤɢɍେᆲɈైฤĂ໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬൦74‫୹ߔޑ‬ਆ‫ޏܩ‬Ă໲ႨĂ3128༃22ॢĪ໴৮ల઺ī
Ć! Jsjf-! I/;! Efqmpznfou! pg! uif! 5B[.NBYEPBT! tztufn! bu! Dijcb-! Kbqbo;! uif! qpufoujbm! up! jowftujhbuf! uif!
tqbujbm! joipnphfofjuz! pg! bunptqifsjd! dpnqpofout-! Xpsltipq! po! Bunptqifsjd! Sbejbujpo! boe! Sfnpuf!
Tfotjoh!3128Ăဏ๿ॻᄗႯनි࿔ൣĂ3128༃Ǖॢ
Ć! ࣸඇᄵਔĂ࠲ඇ਒ૂĂ࢔੸ሆড়Ăీນ०হĂඹඇဦ‫ێ‬Ă࢔ರ൱ణĂฤ‫܊‬ᄡ୉Ă໴৮ల઺Ă਒๿࢏ᅖć3127༃
୽ࡠ LPSVT.BR ࡖ࠰Ɉဏ৮๿ NBY.EPBT ࠫപćණ௫ĆED.9࡙Ć‫ܒ‬౳ࠫപȤɢɍ‫ߔݛ‬ᄪഗʺʟ˃ɂɈ OP3ຕਗ‫ސ‬಑Ă൥࡜‫ߔݛ‬ບሄ‫ޏ‬Ă਑ರॻ਒௄ીĂ3128༃21ॢ
Ć! ܼ﨑১ᄓĂ໴৮ల઺ćNBY.EPBT ɅɢȽɀࠫപȯɦȹࣻୋɈ໩બ‫ݛ‬ᆘ݉༏๱ဿ຦Ɉᅟۚ‫ސ‬಑Ă൥࡜‫ߔݛ‬ບሄ‫ޏ‬Ă਑ರॻ਒௄ીĂ3128༃21ॢ
Ć! Iprvf-!T/-!I/!Jsjf-!B/!Tijnj{v-!boe!B/!Ebnjboj;!NBY.EPBT!pctfswbujpot!pg!gpsnbmefizef!boe!hmzpybmĂ൥࡜‫ߔݛ‬ບሄ‫ޏ‬Ă਑ರॻ਒௄ીĂ3128༃21ॢ
Ć! Libusj-! Q/-! U/! Ibzbtblb-! I/! Jxbcvdij-! I/! Jsjf-! boe! U/! Ublbnvsb;! Bo! jnqspwfe! dmpve! qspqfsujft! sfusjfwbm!
nfuipe!gspn!uif!tlz!sbejpnfufsĂ໲Ⴈ࡜௣ߔ‫ޏ‬Ă႘‫ັޠ‬ઑႦીĂ3128༃21ॢ
Ć! Ebnjboj-! B/-! I/! Jsjf-! U/! Ipsjp-! U/! Ublbnvsb-! Q/! Libusj-! U/! Obhbp-! U/! Z/! Oblbkjnb-! boe! I/! Ublfoblb;!
Dpnqbsjtpo!cfuxffo!Ijnbxbsj.9!sbejbujpo!boe!bfsptpm!qspevdut!boe!TLZOFU!pctfswbujpot!jo!KbqboĂ
໲Ⴈ࡜௣ߔ‫ޏ‬Ă႘‫ັޠ‬ઑႦીĂ3128༃21ॢ
Ć! Jsjf-! I/-! Q/! Libusj-! U/! Ublbnvsb-! I/! Plbnpup-! B/! Ebnjboj-! U/! Ublbop-! U/! Z/! Oblbkjnb-! U/! Oblbkjnb-!
U/! Ojtij{bxb;! Wbmjebujpo! pg! HDPN.D! bunptqifsf! qspevdut! cz! TLZOFU-! Kpjou! QJ! Nffujoh! pg! Hmpcbm!
ĪUplzpīĂ3129༃Ǎॢ
Fowjsponfou!Pctfswbujpo!Njttjpo-!ULQ!Hbsefo!Djuz!
Ć! Jsjf-!I/;!Tubuvt!pg!qptu.mbvodi!bunptqifsf!hspvq!wbmjebujpo!qmbo-!Kpjou!QJ!Nffujoh!pg!Hmpcbm!Fowjsponfou!
Pctfswbujpo!Njttjpo-!ULQ!Hbsefo!Djuz!
ĪUplzpīĂ3129༃ǍॢĆ! ໴৮ల઺ć‫ܒ‬౳Ȥɢɍණ௫˂ʺĜʠʓˋʏˋʈȥɣ࿲ȥɍ௫ȦȽɀȧȹ൥࡜ࠞࣃɈএ௻Ă൥࡜ࠞࣃߔ‫࡞ࣷޏ‬ૅငāཱܾɂപฤင‫ޏ‬3129༃ਆ‫ޏܩ‬Ă൥ੳ࿬൥ੳીĂ3129༃ǏॢĪᥓນஶાī
Ć! ྲྀ෿ථ་ĂᥓນஶાĂ਱ీᆯ‫ێ‬ĂܶॽāसĂ࢏౦ࣝྷćHPTBU0UBOTP.GUT! UJS ʑʲʇʠ˃ɬᅙȞȹණ࿍ჶ‫ݗ‬๱࢒ɍණ࿍ჶଗ୸ᆎɈວ૪ైฤĂ໲Ⴈණ࢝ላ౳‫ߔݨ‬ᇦਗ3128൥‫ޏ‬ĂಫᅝĂ3128༃Ǒॢ
Ć! ཞ๜ࠌฆĂᥓນஶાĂඌ۩ᅖ‫ގ‬Ă਱ీᆯ‫ێ‬ĂܶॽāसĂࢀ๜ড়౺ćHPTBU0UBOTP.GUT! TXJS ʨˋʡĂUJS ʨˋʡ࢒ɍ OJDBN.UN Ɉ‫ݗ‬ଆৌ‫ݪ‬ʄʑ࡜෈ိࣧ༏๱ʟĜʗɈ྘ߏ‫ސ‬಑Ă໲Ⴈණ࢝ላ౳‫ߔݨ‬ᇦਗ3128൥
‫ޏ‬ĂಫᅝĂ3128༃Ǒॢ― 103 ―

Ć! ಹඇāᄵĂ਱ీᆯ‫ێ‬ĂᥓນஶાĂܶॽāसćHPTBU.UJS Ʌɢɥ൥࡜ෂɺˋʺʣɺ༏๱ယ࿫ɈైฤĂ໲Ⴈණ࢝ላ౳‫ߔݨ‬ᇦਗ3128൥‫ޏ‬ĂಫᅝĂ3128༃Ǒॢ
Ć! ཞ ๜ ࠌ ັĂ ᥓ ນ ஶ ાĂ ඌ ۩ ᅖ ‫ގ‬Ă ਱ ీ ᆯ ‫ێ‬Ă ܶ ॽā सĂ ࢀ ๜ ড় ౺ćHPTBU Ȥ ɢ ɍ ൥ ࡜ ᄪ ഗ ʺ ʟ ˃
OJDBN.UN Ɉ‫ݗ‬ଆৌ‫ݪ‬ʄʑ࡜෈ိࣧ༏๱Ɉ྘ߏ‫ސ‬಑Ă൦34‫ޑ‬൥࡜‫ߔݛ‬ບሄ‫ޏ‬Ă਑ರॻ਒௄ીĂ3128༃21ॢ
Ć! ழੲణহĂᥓນஶાćʨɼʂʶʑ༇ௌɅȤȫɥ‫ێ‬બ‫ݛ‬ඖ೧࢒ɍ໩બ‫ݛ‬ඖ೧Ɉ൥࡜ෂ༏๱ဿ຦Ɉ‫ސ‬಑Ă൦34‫ޑ‬൥࡜‫ߔݛ‬ບሄ‫ޏ‬Ă਑ರॻ਒௄ીĂ3128༃21ॢ
Ć! ટ๜ც९ĂᥓນஶાĂ਱ీᆯ‫ێ‬ĂܶॽāसĂ࢏౦ࣝྷćHPTBU0UBOTP.GUT!UJS ʨˋʡȥɣ DI5ວ‫ڮ‬ൌ྘ɬຩ୸ȳɥ૚əĂ൦34‫ޑ‬൥࡜‫ߔݛ‬ບሄ‫ޏ‬Ă਑ರॻ਒௄ીĂ3128༃21ॢ
Ć! ྲྀ෿ථ་ĂᥓນஶાĂܶॽāसĂ࢏౦ࣝྷĂ਱ీᆯ‫ێ‬ćHPTBU0UBOTP.GUT! UJS ʨˋʡʑʲʇʠ˃ȥɣɈණ࿍ჶ‫ݗ‬๱࢒ɍණ࿍ჶଗ୸ᆎɈວ૪ైฤɈ૚əĂ໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬൦74‫ޑ‬Īိ౰3:༃๱୑ࡠīߔ୹ਆ‫ޏܩ‬Ă႘‫ັޠ‬৮်ીĂ3128༃22ॢĪߝঈয়શī
Ć! Opsjlp! Tpzbnb-! Lboblp! Nvsbnbutv-!Npupnbtb!Ebjhp-! Lpkj!Lbkjxbsb-! Zptijblj! Ipoeb;!Opsjlp! Tpzbnb-!
Lboblp!Nvsbnbutv-!Npupnbtb!Ebjhp-!Lpkj!Lbkjxbsb-!Zptijblj!Ipoeb-!Ejggfsfodft!cfuxffo!offemf.mfbwft!
GPSFTU!boe!cspbe.mfbwft!Gpsftu!GSPN!QTfVEp!nvmuj!EJSFDUJPOBM!pctfswbujpo!ebub-!Joufsobujpobm!
Tznqptjvn!po!Sfnpuf!Tfotjoh!3128-!Obhpzb!Vojwfstjuz!Ijhbtijzbnb!DbnqvtĂ3128༃Ǒॢ
Ć! Uptijzvlj! LPCBZBTIJ-! Ijsptij! NVSBLBNJ-! Zptijblj! IPOEB-! Lpkj! LBKJXBSB-! Zvitblv! POP-! Nbtbp!
NPSJZBNB-!Ijeflj!LPCBZBTIJ-!Lfomp!OBTBIBSB-!Sjtb!NJZB[BLJ-!boe!Nbtbijsp!IPSJ;!Efwfmpqnfou!
pg!Mboe!Qspevdut!Vtjoh!THMJ!Ebub-!3128!Joufsobujpobm!Tznqptjvn!po!Tqbdf!Ufdiopmphz!boe!TdjfodfĂ
ɌɛȨɭʳĜ˃Ī‫ڈ‬࿂ॻ௄ટીīĂ3128༃ǒॢ
Ć! Nbtbijsp! IPSJ-! Ijsptij! NVSBLBNJ-! Sjtb! NJZB[BLJ-! Zptijblj! IPOEB-! Lfomp! OBTBIBSB-! Lpkj!
LBKJXBSB-! Ublbtij! Z/! OBLBKJNB-! Ijuptij! JSJF-! Njutvijsp! UPSBUBOJ-! Upsv! IJSBXBLF-! Ufsvp!
BPLJ;! HDPN.D! ebub! wbmjebujpo! qmbo! gps! mboe-! bunptqifsf-! pdfbo-! boe! dszptqifsf-! 3128! Joufsobujpobm!
Tznqptjvn!po!Tqbdf!Ufdiopmphz!boe!TdjfodfĂɌɛȨɭʳĜ˃Ī‫ڈ‬࿂ॻ௄ટીī
Ă3128༃ǒॢ
Ć! ழટౖ࿧Ăࣸાᆚ་Ă൥ვᆚᅂĂ๧ᵛຼૂĂကྪāଌĪຄ൥ණరॸīĆᄢ៛ৗୁĪĪ຾ī‫ޠ‬ᅖॸ࢞ާཡ࡙৭īĆીঈāࠌĪშগ‫ݎ‬൥ߔīĆႨഽ‫ݣ‬ცĪಫᅝ൥ߔī
ć3122༃ఛ༇ߕလ‫ݮ‬ষɈ૱௲ဿ‫ݛ‬ȥɣəɥᇊࢉ‫ݿ‬าĂ‫ݮ‬ટߔ‫ޏ‬3128༃๱୑ࡠ൥‫ޏ‬ĂछႨ൥ߔਥལ໤ʅʻˋʩʑ৙ߔင࿄ୈ༃ࡥ༄࠵Ć৙ߔငǎਖ࠵Ă3128༃Ǖॢ
Ć! ๜ෂࡦ൥ĂႨഽ‫ݣ‬ცĂߝঈয়શćණ௫ MjEBS ɂ VBW ɬᅙȞȹᆹ໘Ǐ૫ই๘दɬᅙȞȹᆹယ৭ഢʩˁʹĜʗɈෆ୸Ʌ࠲ȳɥॸ࢞Ă໲Ⴈଖణപᆲߔ‫ိޏ‬౰3:༃๱୑ࡠߔ୹ਆ‫ޏܩ‬Ăۧငીဦ‫!࠵ޏݛ‬Īટ৏ॻī
Ă3128༃22ॢ
Ć! ๜ෂྰ෿ࡢĂႨഽ‫ݣ‬ცĂߝঈয়શćǏ૫ই๘दʟĜʗɬᅙȞȹ MjEBS!༜व੔এɅȾȞɀɈॸ࢞Ă໲Ⴈଖణപ
ᆲߔ‫ိޏ‬౰3:༃๱୑ࡠߔ୹ਆ‫ޏܩ‬Ăۧငીဦ‫!࠵ޏݛ‬Īટ৏ॻī
Ă3128༃22ॢĪᅔā‫ڰ‬īĆ! ᅔā‫ڰ‬ćB!rvbtj.bobmzujdbm!npefm!gps!ftujnbujoh!Tfddij!efqui!
ĪTEī!jo!dmfbs!boe!uvscje!xbufs!cpejft!cbtfe!
po!NFSJT!ebubĂ൦જ‫ޑ‬೔ਡฤᆲ˂ʺĜʠʓˋʏˋʈߔ୹ʭʁĜˁʸĂCfkjoh-!Dijob-!3128༃ǓॢĆ! ᅔā‫ڰ‬ćWbmjebujoh!b!Hmpcbm!Tbufmmjuf!Qspevdu!pg!Gpsftu!Dbopqz!Ifjhiu!jo!Cpsfbm!Gpsftut!cz!Mjufsbuvsf!
Tvswfz-!Uif!74se!Bvuvno!Dpogfsfodf!pg!uif!Sfnpuf!Tfotjoh!Tpdjfuz!pg!Kbqbo-!Ipllbjep-!Kbqbo-!3128
༃22ॢĺိ౰3:༃๱Ɉॸ࢞‫ޏ‬Ă৊ާਆ੐Ăਆ‫ޏܩ‬ĂˇĜʇʏʿʛʯຑɈଌૈȤɢɍ༝ঁᅟಃ௻࣍Ļ
შā௔

ଌૈवൔ

ާ੓ࡖ࠰

ൎā௣

ઞ‫ݡ‬ౘ

ඐຎ

ယ৉ၪଗࡉ੮৫౷ॳບ‫ޏ‬ʅʛʇʂʭʷĜʞɻˋʈॸ࢞‫ޏ‬

31280 ǐ

ॸ࢞ଞ

23შ

໴৮ల઺

൦ǎ‫ޑ‬ယ৉ၪଗࡉ੮৫౷ॳບ‫ޏ‬ॸ࢞‫ޏ‬

31280 Ǔ

ॸ࢞ଞ

28შ

໴৮ల઺

EJBT ʏˋʵʐɾʸ3128ĶEJBT ɬߤᅙȱȹଜ‫ݻޏ‬൨ɈਞဎɅ
৐ȫɀ−႕੠Ć఍ᆧĆʀʥ˃ʆĜယᄘɈଲɤ೨ə−ķ

ʏˋʵʐ
ɾʸ

31280 Ǔ042

‫ཾێ‬

ᄝ211შ

樋৏ຼૂ

Ɍɘɩɤᆌ‫࢞ॸۊ‬ʈ˃ĜʯĆʅʛʇʂʭʷĜʞɻˋʈॸ࢞‫ޏ‬

31280 Ǔ042

ॸ࢞ଞ

26შ

市井和仁

― 104 ―

შā௔

ଌૈवൔ

ާ੓ࡖ࠰

ൎā௣

ઞ‫ݡ‬ౘ

ඐຎ

ʍɼʀˋʑĆʍʶĜĆʅʻˋʯൌঅߔ୔

31280 ǔ0 ǐ

‫ཾێ‬

71შ

Ⴈഽ‫ݣ‬ც
ߝঈয়શ

Dvssfou! Tubuvt! pg! Hsffoipvtf! Hbtft! Fnjttjpot! jo! Btjbo!
boe!Xpsme!Ufssftusjbm!Fdptztufntߔ‫ޏ‬ʓʛ
ʏʿˋ

31280 ǔ021

ॸ࢞ଞ

41შ

ࣷນ‫ދ‬౮

Gmvy! vqtdbmjoh;! Gmvy! ofuxpsl.cbtfe! dbscpo! gmvy! vqtdbmjoh!
gspn! dbopqjft! up! sfhjpobm! boe! hmpcbm! tdbmft! cz! sfnpuf!
tfotjoh!boe!npefmtߔ‫ޏ‬ʓʛ
ʏʿˋ

31280 ǔ029

ॸ࢞ଞ

91შ

ࣷນ‫ދ‬౮

‫ཾێ‬ଜචၭఱ໲Ⴈാᅣʀʥ˃ʆĜߔ‫ޏ‬āാᅣ৉ཡ๝င‫ !ޏ‬൦32‫ޑ‬ʓʷʢĜĂĶാᅣ৉ཡ๝Ɉ୅ᅟ౫সɂཡ๝ᅅപࡳ୹ķʓʷʢĜ

31280 ǔ039

ॸ࢞ଞ

81შ

樋৏ຼૂ

൦Ǐ‫ޑ‬ယ৉ၪଗࡉ੮৫౷ॳບ‫ޏ‬ॸ࢞‫ޏ‬

31280 Ǖ

ॸ࢞ଞ

24შ

໴৮ల઺

Xpsltipq! po! Bunptqifsjd! Sbejbujpo! boe! Sfnpuf! Tfotjoh!
3128

ˇĜʇ
ʏʿʛʯ

31280 Ǖ0 Ǎ

ॸ࢞ଞ
ߔ౺

41შ

໴৮ల઺

Ķ࣡඘ਏ౉࿎‫ݟ‬ɂ࡜௣‫ސ‬಑ɈȹɛɈ! BQISPEJUF.3! ɺ˃ʌ˂ʒʸɈ‫ޜ‬ᆯɈˇĜʇʏʿʛʯķ

ˇĜʇ
ʏʿʛʯ

31280 Ǖ022

ॸ࢞ଞ

55შ

樋৏ຼૂ
ၹ຀৹‫ێ‬

ĶʧɼʩĜʑʲʇʠ˃Ćʶ˃ʙʑʲʇʠ˃ʟĜʗɈोപɂદࣞ
ܾᅙķ

ॸ࢞‫ޏ‬

31280 Ǖ031

ॸ࢞ଞ

66შ

࢏౦৘ც

Uif!29ui!TBS!Jnbhf!Xpsltipq!Mbqbo

ˇĜʇ
ʏʿʛʯ

3128021026

ॸ࢞ଞ

Ǖშ

ˀʍʭɹʛʠ

ຕਗโᆌ‫ۊ‬५ॸ࢞ᇦᅵ‫ޏ‬Ķࣷ༃Ɉ࡜েဿ຦Ʌ཮Ƚȹ൥࡜ᆌჶഊ
঱੼ᅙɈဿ‫ݛ‬ķॸ࢞‫ޏ‬

3128021041

ॸ࢞ଞ

31შ

ࣷນ‫ދ‬౮

໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬ā൦74‫୹ߔޑ‬ਆ‫ޏܩ‬ɅȤȫɥĶᆌߔ‫ޏ‬‫ۊ‬౺ൔृॸ࢞ɅȤȫɥ˂ʺĜʠʓˋʏˋʈɈᄜߠķ်ູʓʛ
ʓʛʏʿˋ
ʏʿˋ

3128022032

ॸ࢞ଞ

ᄝ211შ

ી‫ۈ‬ሆల

Uif! 6ui! Tznqptjvn! po! Njdsptbufmmjuf! gps! Sfnpuf! Tfotjoh!
ĪTPNJSFT!3128ī
-!Uif!37ui!DFSfT!Joufsobujpobm!Tznqptjvn-!
boe! Uif! 3oe! Tznqptjvn! po! Joopwbujwf! Njdspxbwf! Sfnpuf!
Tfotjoh/!

ʏˋʵʐɾʸ3128022035

ॸ࢞ଞ

31შ

ˀʍʭɹʛʠ

൦ǐ‫ޑ‬ယ৉ၪଗࡉ੮৫౷ॳບ‫ޏ‬ॸ࢞‫ޏ‬

3128023

ॸ࢞ଞ

Ǖშ

໴৮ల઺

2tu!TBUSFQT!Xpsltipq
Ebnbhf!Bttfttnfou!gps!Bhsjdvmuvsbm!Jotvsbodf.Vujmj{bujpo!pg!
ufdiopmphz!.

ˇĜʇ
ʏʿʛʯ

31280230 ǐ

ॸ࢞ଞ
‫ཾێ‬

51შ

Ⴈࣕಫ୽

ఆ౺ĆʧĜʡʗĜʊʛʠˁɼʘĜɈ࿱࢒ɬᄆૄȱȹʕʭʠĆʧĜ
ʡާཡ

ॸ࢞‫ޏ‬

312802302:

ॸ࢞ଞ

23შ

กშൿᅂ
࢏౦৘ც

൥ఱȦߖȱɚ‫࣋ߔݨ‬ଆĶಫᅝɈऋʏ˂ĜʒϱķĶఱ৙‫ܒ‬౳ȥɣॽȢɥʈ˅Ĝʨ˃ʑʉĜ˃ɁɈఆ౺Ɉဿ‫ݛ‬ķ৊ާਆ੐

31290 Ǎ031

‫ཾێ‬

32შ

࢏౦৘ც

൥ఱȦߖȱɚ‫࣋ߔݨ‬ଆĶಫᅝɈऋʏ˂ĜʒϲķĶ੠ޮɬȞȥɅ਒౼๱Ɂࠫപȳɥȥćʶɼʇ˅༜˂ʺĜʠʓˋ
ʍɈާཡķ

৊ާਆ੐

31290 Ǎ038

‫ཾێ‬

25შ

ˀʍʭɹʛʠ

൥ఱȦߖȱɚ‫࣋ߔݨ‬ଆĶಫᅝɈऋʏ˂ĜʒϳķĶɌɘɩɤǔਖɈࠫപȥɣķ৊ާਆ੐31290 ǎ0 ǐ

‫ཾێ‬

44შ

ၹ຀৹‫ێ‬

KbqboGmvy21ୈ༃ࡥ༄ୠ‫ޏ‬ॸ࢞ୠ‫ޏ‬

31290 ǎ031

ॸ࢞ଞ

61შ

ી‫ۈ‬ሆల

ĶᅕęɄ଴ၭɁ࠲ຄɈĂ౦‫ޢ‬Ɉਏ౉ɬപɥķ

৊ާ
ਆ‫ޏܩ‬

31290 Ǐ0 Ǐ

‫ཾێ‬

42შ

樋৏ຼૂ
ၹ຀৹‫ێ‬
ঢ়౧მૂ― 105 ―

ĺఛဧऻ੪ĆʹʟɻɺၡັຑĻ໲ā࿥ऻ੪૛Ăၪഗࣟ 0 ྈ೨შ

31280 ǒ0 ǒಇ݊ఛဧപᆲɅʡ˅Ĝˋߤᅙāস๚௲ીĂმ࠰චൌɂॸ࢞ɒ

31280 ǒ022স๚௲ીᄜஒ৊ૺ Gbdfcppl
೔ਡ஑Ɉʡ˅Ĝˋപᆲॸ࢞ࢪ๘Ʌ

31280 ǒ023

OIL ʣʽĜʑ౦‫ޢ‬੕ழʇˁʑ˄ĜʘĜ‫ܒ‬౳ާཡ

31280 ǒ024໲Ⴈॄ੟ఛဧ
ಫᅝ൥Ă೧੮‫ޜ‬ᆯɁॎᆲ‫ݛ‬Ă౿੼ྣᅦȢȹழळ‫ܒ‬౳

31280 ǒ024໲ࠃ৙ࣞఛဧ
ಫᅝ൥ćණ࢝ࠫപᅙழळ‫ܒ‬౳Ĝ౦‫ޢ‬੕ழĆ੕ॎᆲɈᅟ೧ࡳ୹

31280 ǒ025

໘āāᅎ

ଲ੮ൎ௣ଞ

Ĩණ௫෮ੈɈȹɛɈ VBW ‫ۿ‬ᅙॸ࢞‫ޏ‬ĩĪႨഽஂ࣋ୂȦࠎૢෳĂߝঈਆુȦૢოࣟɬȾɂɛɥ໸‫ڷ‬චൌīȦĂʡ˅ĜˋĪVBWī
ɅɢɥപᆲĆ෮ੈɈଲɤ೨əɬࢼວཡ࿍ăႨഽ‫ݣ‬ც
ߝঈয়શǒॢ23໲ʯ˄ʑཡ࿍
Īಀಫᅝʅʻˋʩʑ௄ۤ‫࠵ޏ‬īĶ౦‫ޢ‬੕ழĆ੕ॎᆲɈ211lh ࢡழळ‫ܒ‬౳Ć຿༸ఛဧ˄ĜʘɈॸ࢞ʺʟ˃Ȧࠊ౰Ċķಫᅝ൥ćழळ‫ܒ‬౳ॎᆲ‫ݛ‬Ʌ౰োć౼๱৐௫Ăʋʑʠġ਒౼๱Īnn ġ dn ౼๱īɁ૵೓੠ޮɈ
ঌଌএɒ೐෗ɬࠫപġ

ˀʍʭɹʛʠ

31280 ǒ032

෥໲ఛဧಫᅝ൥ߔʈ˃Ĝʯć୭ȯĆʋʑʠ൥ဍঌāழळ‫ܒ‬౳ާཡ

31280 ǒ034

‫ߔݨ‬ఛဧ
ಫᅝ൥ćʑʶˋʞɻˀ࣋ୂɣāழळ‫ܒ‬౳຃੪ᅙɺˋ
ʞʢɬ൥ဍɅழळĆॎᆲ‫ݛ‬

31280 Ǖ0 ǒ

Boubsb-!Tvbsb!Tvsbcbzb-!Usjcvoofxtழळ‫ܒ‬౳!DQ.TBS!Mbqbodijcb.tbu

31280 Ǖ0 Ǖ

OIL ʑʲʏʻ˃! ǩǡǣǝāǟǮǥǯǥǯāࢨ൥ࡇ
࡙Ⅱā൦ǎୠĶ‫࡜௵ڽ‬௣ķɌɘɩɤǔਖ‫ݢ‬૗Ćಘެ‫ކ‬ജɈอࢷɂʟĜ
ʗತც

樋৏ຼૂ
ၹ຀৹‫ێ‬

31280 Ǖ028

OIL ʑʲʏʻ˃āਥ෦! ġ౦‫ޢ‬੕൥ā۲ࠆȩ࿤ૃࡼɈ‫ޠ‬ġɌɘɩɤǔਖ໲Ⴈ‫ۊ‬਒࿡๱ࠫപʟĜʗɈอࢷɂʟĜʗತც

樋৏ຼૂၹ຀৹‫ێ‬

3128021029

ಇ݊ఛဧჟఱਂऋ࡙ߤᅙȱപᆲā‫ۿ‬ᅙॸ࢞‫ޏ‬Ăস๚௲Ɂ૚অ
ྦ਄ჟఱਂऋ࡙ߤᅙȱപᆲā‫ۿ‬ᅙॸ࢞‫ޏ‬Ăস๚௲Ɂ૚অྦ਄

ˀʍʭɹʛʠ

31280230 Ǔદॄఛဧࡥૢ
ȱȧȯȞĪHDPN.DīɅ࠲ȳɥࡥଞತც‫ޏ‬ȱȧȯȞĪHDPN.DīɅ࠲ȳɥࡥଞತც‫ޏ‬ĪKBYB ຄࢶૢოஒīႨഽ‫ݣ‬ც

31290 Ǐ031૪ૢฆఒଜࣅȞʀ˃ʣĜʣʿɁഝ‫ݡ‬॰༄Łຄ໤ɺʐɺ DP3༧୸ᆲĽಫᅝ൥ɄɃ

31290 Ǐ031

31290 Ǐ031

31290 Ǐ037

31290 Ǐ038

OIL!OFXT!XFCĶ࡜েɈ૵೓ဿ຦Ȧ DP3༧୸ᅦ౫āಫᅝ൥ɄɃ෮ੈķǏॢ31໲ĨObuvsf! Dpnnvojdbujpotĩɒ!
Ɉሄဦऻ੪Ʌ཮Ƞʯ˄ʑཡ࿍
ಫᅝ൥ߔĆ‫ޠ‬ᅖॸ࢞ާཡ࡙৭Ćਡᆏࠞࣃॸ࢞ஒĆ࡜௣ॸ࢞ஒɅɢɥਗວ
ࡥଞ‫ॽޏ‬Īဦင‫ࡥߔݨ‬ଞ‫ॽޏ!ޏ‬ଆī໲Ⴈॄ੟ఛဧɾɿʮʣʽĜʑຄ໤ɺʐɺĂఝᆹཤੜɁɜ DP3ഝȢȴāʀ˃ʣĜ Ķ࡜েɈ૵೓ဿ຦ȦĂ൥ࡤჹఝᆹཤੜɅɢ
ʣʿȦ‫ࣗ܆‬ɥ໩બ‫ݛ‬ඖ೧Ɉ༧୸ɬഊ઒ȱȹএ௣ɬ౦
‫ޢ‬Ɂ஑ɛɀॳ୸Ċķ໲Ⴈॄ੟ఛဧ
ຄ໤ɺʐɺɈ౺ൔृɅɢɥ DP3༧୸ᆲȦଯȞʀ˃ʣĜʣʿএ௣ຄ໤ɺ DP3༧୸ᅦ౫
3111༃ൣɅঌவȱȹঈۚɬ‫ސ‬ცĂණ࢝‫ݗ‬ඤ‫ݛ‬এ௣Ɉᆅ‫ސ‬Ʌ৐ȫɀɈఛȹɄ
໲ࠃ৙ࣞఛဧ
ഫߙȥɤఝᆹཤੜɅɢɥ DP3༧୸ā࡜েဿ຦Ɂഊ઒āಫᅝ൥ɄɃ‫ސ‬ც

― 106 ―

ˀʍʭɹʛʠ

ࣷນ‫ދ‬౮
ી‫ۈ‬ሆల

\ǐ^āି௤Ćާཡଌಕຑ
5/2/āି௤
௤Ɉშ௔ć໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬োಕ௤ି ௤ ଞć࢏౦৘ცି௤ॢ໲ćိ౰3:༃Ǒॢ2:໲
ୂᅇචൌć!໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬ॸ࢞൨ᄆć˂ʺĜʠʓˋʏˋʈယᄘཡ๐ɈȹɛɈਇॷ
௤Ɉშ௔ćိ౰39༃๱໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬ሄဦ௤ି ௤ ଞćᅔā‫ڰ‬Ī௄‫ݚ‬ဦॄĂˁ˃ĜʸʧʶʡʐʻʀˁʣĂᅔā‫ڰ‬Ăྪટᅖ‫ێ‬Ăဏ๿ကྷīି௤ॢ໲ćိ౰3:༃Ǒॢ2:໲
ୂᅇචൌć!໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬ॸ࢞൨ᄆćNFSJT ʟĜʗɅɢɥ‫ۺˎހ‬Ɉʇ˅˅ʭɻ˃ǽ༏๱Ɉෳࡖʺʣʗ˂ˋʈ
௤Ɉშ௔ćJTST!3128!Tuvefou!Qbqfs!Bxbse
ି!௤!ଞćಶāᄬാĪག઺‫ݻ‬า೐ࡖǎ༃ćˀʍʭɹʛʠॸ࢞ଆஒമߔ౺īି௤ॢ໲ćိ౰3:༃Ǒॢ2:໲
ୂᅇචൌćJoufsobujpobm!Tznqptjvn!po!Sfnpuf!Tfotjoh!3128!
ĪJTST3128ī
ॸ࢞൨ᄆćHspvoe.cbtfe!Djsdvmbsmz!Qpmbsj{fe!TBS!Dbqbcjmjuz!up!b!Sjdf!Qifopmphz!Npojupsjoh௤Ɉშ௔ćJTST!3128!Tuvefou!Qbqfs!Bxbse
ି!௤!ଞćKbnsve!BnjoveejoĪག઺‫ݻ‬าষࡖǏ༃ć࢏౦ॸ࢞ଆஒമߔ౺īି௤ॢ໲ćိ౰3:༃Ǒॢ2:໲
ୂᅇචൌćJoufsobujpobm!Tznqptjvn!po!Sfnpuf!Tfotjoh!3128!ĪJTST3128ī
ॸ࢞൨ᄆćEfwfmpqnfou!pg!MFE.EPBT!tztufn!gps!pctfswjoh!bfsptpm!fyujodujpo!ofbs!uif!hspvoe!mfwfm
௤Ɉშ௔ć൦31‫ޑ‬ʀʑʲʛʇࠞࣃॸ࢞யᇋ௤
ି!௤!ଞćᅔā‫ڰ‬ି௤ॢ໲ćိ౰3:༃ǔॢ36໲ୂᅇචൌćʀʑʲʛʇ߰ૺ‫ޏ‬ଜॸ࢞൨ᄆć‫ܒ‬౳ʟĜʗɬᅙȞȹ႘ၫᆹɅȤȫɥᆹஸఆ౺ʨɼʂʶʑɈෳࡖဿ຦‫ސ‬಑௤Ɉშ௔ćಫᅝ൥ߔ3128༃๱ʈ˅Ĝʨ˃ʯ˅ʷʥˋʠॸ࢞ࡊࠎʏˋʵʐɾʸᄭ୐ཡ࿍௤
ି!௤!ଞć਒࣌‫ڟ‬਑ି௤ॢ໲ćိ౰3:༃22ॢǓ໲ୂᅇචൌćಫᅝ൥ߔʈ˅Ĝʨ˃ʯ˅ʷʥˋʠॸ࢞ࡊࠎ
ॸ࢞൨ᄆćਗ౰ާ৏˄Ĝʘᅙʹʛʏʽʩˁʴˁɺˋʞʢɬ຃੪ȱȹఱ৙‫ܒ‬౳Ɉާཡ௤Ɉშ௔ćॸ࢞‫ݨ‬௤āUif!Efboħ
t!Bxbse!gps!Bdbefnjd!Bdijfwfnfou!3128
ି!௤!ଞćಶāᄬാĪག઺‫ݻ‬า೐ࡖǎ༃ćˀʍʭɹʛʠॸ࢞ଆஒമߔ౺īି௤ॢ໲ćိ౰3:༃Ǐॢ38໲ୂᅇචൌćಫᅝ൥ߔ൥ߔۡᅃਗ‫ݨ࢞ॸߔݨ‬௤Ɉშ௔ćߔෳ௤Ī౰ಕᄭ୐௤īāPvutuboejoh!Fydfmmfodf!Bxbse
ି!௤!ଞćಶāᄬാĪག઺‫ݻ‬า೐ࡖǎ༃ćˀʍʭɹʛʠॸ࢞ଆஒമߔ౺īି௤ॢ໲ćိ౰3:༃Ǐॢ38໲ୂᅇචൌćಫᅝ൥ߔ

― 107 ―

5/3/āູࢮĪ୸ࡄෂ࠸ɚī୸ࡄྈਖćູࡄ3128.342853
୸!ࡄ!ଞć‫ۈ‬ഺఒࡹĂˀʍʭɹʛʠāʞʠʁʋāʑ˂āʑʶˋʞɻˀ
୸ࡄॣშć˄ĜʘȤɢɍ˄Ĝʘɬ຃੪ȱȹఱ৙‫ܒ‬౳Īழळਗ౰ާ৏˄Ĝʘᅙɺˋʞʢī
୸!ࡄ!໲ćိ౰3:༃23ॢǍ໲
5/4/āާཡଌಕຑ
౰‫ݪ‬ဘშćHPTBU.3຃੪ UBOTP.GUT.3༂ಘެʨˋʡɈ HIH ຩ୸ɺ˃ʌ˂ʒʸĪ˸ཹīɈާཡ࢒ɍʯ˅ʈˁʸʋĜʡ࢒ɍ࠲ᇦဦங
ॸ࢞ଞშćᥓນஶા
‫ ! ! ! ! ޱ‬ᅟćਡᆏࠞࣃॸ࢞ஒɁଌૈȳɥ HPTBU.3Ɉฤ௵ஐᆅᅙɈʯ˅ʈˁʸʋĜʡĪ˸ཹīɂʕʭʠɾɿɺತც
ங࢒ɍʕʭʠɾɿɺɼˋʗĜʭɿĜʑࡊஈஙɬਡᆏࠞࣃॸ࢞ஒɈ HPTBU3ʯ˅ʐɿʇʠɅ༐࿚ă౰‫ݪ‬ဘშćழळ‫ܒ‬౳຃੪ᅙ TBS ɺˋʞʢငȤɢɍ๝ા࡙ࡉင
ॸ࢞ଞშć‫ۈ‬ഺఒࡹĂˀʍʭɹʛʠāʞʠʁʋāʑ˂āʑʶˋʞɻˀ
‫ ! ! ! ! ޱ‬ᅟćழळ‫ܒ‬౳຃੪ᅙ TBS ɺˋʞʢငȤɢɍ๝ા࡙ࡉငɈழळ‫ݛ‬Ăॎᆲ‫ݛ‬Ăฝʋʑʠ‫ݛ‬ɈಡोĂ౿੼Ă૚অɬଌૈȱॸ࢞ʺʟ˃ɬࠊ౰ă౰‫ݪ‬ဘშćழळ TBS ‫ܒ‬౳ॸ࢞ଞშć‫ۈ‬ഺఒࡹ‫ ! ! ! ! ޱ‬ᅟćழळ TBS ‫ܒ‬౳Ɉ഍ਗʏʑʞʸಡोĂʏʑʞʸಡोɬଌૈȱĂழळ‫ݛ‬Ăॎᆲ‫ݛ‬Ăฝʋʑʠ‫ݛ‬ȱȹழळTBS ‫ܒ‬౳ʏʑʞʸɬ৭භă― 108 ―

\Ǒ^āਡ੫ৄᆔ
6/2āެਡఱିȫ໴ɦެ ਡ ఱ ᅰ ၸ ଞ Ɉ ି ໴ ɦ ௻ ࣍ެਡఱᅰၸଞ
્āāāāშ

ਡāಔ

ஒമ࡙࠲შ

ఊāშ

ᅰၸᄆโ

ି໴࣋ۙ
્āāშ

ࡖā࠰

Ukbizp!Ubnupnpɼˋʡʥʏɺ

ʑ˃ʼ൥ߔ

ॸ࢞ۙ

࿍ऽၸᄎ

ˀʍʭɹʛʠ

312806022

Ujhfs!Mjv

൤ሕ൤ሕਡ‫ۧݦ‬හʓˋʗĜʏʣɺॸ࢞ۙ

ࢼວॸ࢞ˀʍʭɹʛʠ

312806041

Tufwfo!Ibodpdl

ဴਡ

Efqbsunfou!pg!
Hfphsbqijdbm!Tdjfodft-! ࣋ୂVojwfstjuz!pg!Nbszmboe

ਡ੫ XT ઞ‫ݡ‬Ⴈഽ‫ݣ‬ც
ߝঈয়શ

312806037

Nzbu!Tv!NpoʷʻˋʶĜGpsftu!Efqbsunfou-!
Nzbonbs

ॸ࢞ۙਡ੫ XT ઞ‫ݡ‬Ⴈഽ‫ݣ‬ც
ߝঈয়શ

312806037

Sjdbve!Qijmjqqf

ʭˁˋʑʭˁˋʑ࡜௣ࣟ

௫ಌॸ࢞ۙ

ࢼວॸ࢞

ᥓນஶા

312806027ġ
312806035

Bmmfo!Tijf൤ሕ൤ሕਡ‫ۧݦ‬හʓˋʗĜ‫ܒ‬౳ާཡင
ෳࢼວॸ࢞ˀʍʭɹʛʠ

312807037ġ
312807039

Diji.Mj!Diboh൤ሕ൤ሕਡ‫ۧݦ‬හʓˋʗĜ

DC.TBSʯ˅ʐɿʇʠʶ
ʥʐʻĜࢼວॸ࢞ˀʍʭɹʛʠ

312807037ġ
312807039

Cps.Ibo!Xv൤ሕ൤ሕਡ‫ۧݦ‬හʓˋʗĜ

ॸ࢞ۙ

ࢼວॸ࢞

ˀʍʭɹʛʠ

312807037ġ
312807039

Dfmjb!Difo൤ሕ൤ሕਡ‫ۧݦ‬හʓˋʗĜ

ॸ࢞ۙ

ࢼວॸ࢞

ˀʍʭɹʛʠ

312807037ġ
312807039

Jxbo!Qsbnftuj!Boxbs

ɼˋʡʥʏɺ

ʨˋʡˋ৙‫ݨ‬൥ߔ൥ߔۡ౺Īୌ઺ǎ༃ī

࿍ऽၸᄎˀʍʭɹʛʠ

312807039

J!Ozpnbo!Sbejbsub

ɼˋʡʥʏɺ

‫ޠ‬ᅖॸ࢞ࠫപ࡙࠲

ஒෳ

ࢼວॸ࢞

ˀʍʭɹʛʠ

31280703:

Bszp!Ibohhpopɼˋʡʥʏɺ

‫ޠ‬ᅖ౉દௐ

൥ధɺʡʨɼ
ʎĜࢼວॸ࢞ˀʍʭɹʛʠ

31280703:

Boupo!Zveibobɼˋʡʥʏɺ

Vojwfstjubt!Bdinbe!
Ebimbo!Zphzblbsub!

ਆુ

࿍ऽၸᄎ

ˀʍʭɹʛʠ

312808039ġ
31280803:

Mjtb!Nbsjb!Tujfs

ʡɼʜ

Vojwfstjuz!pg!Wjfoobߔ౺ɼˋʗĜˋʏʛʯ

ˀʍʭɹʛʠ

312808042ġ
31280:09

JXBZBO!HFEF!
BTUBXB!LBSBOHɼˋʡʥʏɺ

Vebzbob!Vojwfstjuz

Mfduvsfsʭʁ˅Ĝɺʛʯॸୌ

Ⴈࣕಫ୽

312809042ġ
3128021041

Bdinbe!Nvojs

ɼˋʡʥʏɺ

ʨˋʡˋ৙‫ݨ‬൥ߔ

ਆુ

ࢼວॸ࢞

ˀʍʭɹʛʠ

31280:02:ġ
3128021026

Tvojm!Lvnbs!
Libehbsbj

ɼˋʡ

ৠ೐൥ߔ

ॸ࢞ۙ

ˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:023

Imb!UvoʷʻˋʶĜ

Nfufpspmphjdbm!
Ejwjtjpo-!Efqbsunfou!
pg!Nfufpspmphz!boe!
Izespmphz

Efqvuz!
EjsfdupsˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Wv!Qivpoh!ObnʱʠʢʸJotujuvuf!pg!
Xbufs!Sftpvsdft!
Qmboojoh-!Njojtusz!pg!
Bhsjdvmuvsf!boe!Svsbm!
Efwfmpqnfou

Izesbvmjd!
pg!Xbufs!
Rvbmjuz!
TqfdjbmjtuˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Nvibnnbe!Nbtppe

ʨˋʈˁʟ
ʏʽ

Cbohmbefti!Xbufs!
Efwfmpqnfou!Cpbse!

Fyfdvujwf!
Fohjoffs

ˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

LiboevʮĜʗˋ

Efqbsunfou!pg!Tqbujbm!
QiE!
Tdjfodft!Dvsujo!
Tuvefou
VojwfstjuzˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025― 109 ―

ެਡఱᅰၸଞ
્āāāāშ

ି໴࣋ۙ
્āāშ

ࡖā࠰

ਡāಔ

ஒമ࡙࠲შ

ఊāშ

ᅰၸᄆโ

Lbsuijlfzbo!
Nbuiftxbsbo

ʑ˂ˁˋʃJoufsobujpobm!Xbufs!
Nbobhfnfou!Jotujuvufག઺ॸ࢞ۙˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Sbuubob!Diijo

ʃˋʴʐɺ

ࢶ๬൥ߔ

ණ࢝ဘᆅߔ
࣋ଆ
ག઺ॸ࢞ۙ

ˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Gbj{bi!Dif!Sptʶ˄Ĝʏɺʶ˄Ĝʏɺ໲Ⴈਡ੫৙
‫ۡݨ‬ā

ਆુā௫ಌ
ॸ࢞ۙāā
Īག઺ī

ˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Ljncfsmj!Boof!N/!
Brvjop

ʭɻ˂ʬˋ

࡜௣ෝ

࡜௣ಮᄑۙ

ˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Hbofti!C/!Hpibjoɼˋʡɼˋʡ࡜௣ෝ༔ࣞ࡜௣
ഊඨင

௫ಌॸ࢞ࠋ

ˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Upgjhi!Tbbej

ɼˁˋʭĜʐʑʗˋ౉ັ๝ᆵ
৊ଜ

࡜௣ငෳ

ˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Tibjmmb!Svtujbob

ɼˋʡʥʏɺ

MBQBOĪɼˋʡʥʏɺ ൥ߔ౺āᆅਡᆏਂऋۧහॸ࢞ஒī!!!!!!! ߔငˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Qvsfwkbw!
Hpncpmvvefw

ʺˋʌ˃࡜௣Ć౉ဦߔĆࠞࣃ௶ၡॸ࢞ஒ࡜েဿ‫ݛ‬Ć૝঍ॸ࢞ෳˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Tibpxfj!Ojohෂਡ

Ifgfj!Vojwfstjuz!pg!
Ufdiopmphz

Bttpdjbuf!
Qspgfttps

ˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Nvibnnfe!Bcevm!
Cbtiffsɼˋʡ

Dpdijo!Vojwfstjuz!
Pg!Tdjfodf!boe!
Ufdiopmphzག઺ॸ࢞ۙˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Dibjxbu!
Fllbxbuqboju

ʗɼDjwjm!Fohjoffsjoh!
Efqbsunfou!Ljoh!
Npohlvuħ
t!Vojwfstjuz!
pg!Ufdiopmphz!
Uipocvsjஂ࣋ୂˇĜʇʏʿʛʯઞ‫ݡ‬

樋৏ຼૂ

31280:022ġ
31280:025

Bobl!Bhvoh!Lftxbsj!
Lsjtoboejlb

ɼˋʡʥʏɺ

ɾʘʼʢ൥ߔ

ਆુ

ࢼວॸ࢞
൅Ȼਗɩȵ

Ⴈࣕಫ୽

31280:029ġ
31280:034

BOBL!BHVOH!BZV!
NJSBI!BEJɼˋʡʥʏɺ

ɾʘʼʢ൥ߔ

࣋ୂ

ࢼວॸ࢞

Ⴈࣕಫ୽

31280:029ġ
31280:034

TBBE/!T!USBOZ

ɼˁʇɼˁʇ਒ຑ࣋‫ۋ‬ௐ

Ifbe!pg!
Njojtufsħ
t!
PggjdfʓˋʗĜॽߔ

‫݊ڤ‬೑ဦ

312802104

Sbinbo!M/!Nvitjoɼˁʇɼˁˋ൥઴࠵

Dpvotfmps!
Efqvuz!
Dijfg!pg!
NjttjpoʓˋʗĜॽߔ

‫݊ڤ‬೑ဦ

312802104

Ibtbo!Ti/!Nbkej

ɼˁʇ

Bm.Nvtubrcbm!
Vojwfstjuz!Dpmmfhf

EfboʓˋʗĜॽߔ

‫݊ڤ‬೑ဦ

312802104

Xbo!Npie!Objn!Cjo!
Xbo!Npieʶ˄Ĝʏɺ

Vojwfstjuj!Uflopmphj!
NBSB

Bttpdjbuf!
Qspgfttps

ʓˋʗĜॽߔ

‫݊ڤ‬೑ဦ

3128021027

Mbsbt!Uvstjmpxbujɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

Xpsltipq

ˀʍʭɹʛʠ

312802105ġ
3128021042

Tbsujlbɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

Xpsltipq

ˀʍʭɹʛʠ

312802105ġ
3128021042

Hjobmej!Bsj!Ovhspipɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

Xpsltipq

ˀʍʭɹʛʠ

312802105ġ
3128021042

Tpoj!Bvmjb!Sbibzv

ɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

Xpsltipq

ˀʍʭɹʛʠ

312802105ġ
3128021042

Kvnbszbujɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

Xpsltipq

ˀʍʭɹʛʠ

312802105ġ
3128021042

Ljn!Uv!Ixbo

࠴ਡ

ɺʐʽ൥ߔ

࣋ୂ

ࢼວॸ࢞

ˀʍʭɹʛʠ

3128021022― 110 ―

ି໴࣋ۙ
્āāშ

ࡖā࠰

ࢼວॸ࢞

ˀʍʭɹʛʠ

3128021028ġ
3128022022

ॸ࢞ۙ

ࢼວॸ࢞

ˀʍʭɹʛʠ

3128021028ġ
3128022022

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

ࢼວॸ࢞

ˀʍʭɹʛʠ

3128021028ġ
3128022022

ɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

ࢼວॸ࢞

ˀʍʭɹʛʠ

3128021028ġ
3128022022

Tpooz!E/!Ibstpopɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

ࢼວॸ࢞

ˀʍʭɹʛʠ

3128021028ġ
3128022022

Ob{nvm!Iprvf

ʨˋʈˁʟ
ʏʽ

ຕोࣟāຕो௶ၡ‫ݻ‬

ຕोࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Sftinb!Kftnjo

ʨˋʈˁʟ
ʏʽ

ຕोࣟāຕो௶ၡ‫ݻ‬

ຕोࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038[f!Upmp!Nbsl!Boupoz! ʃʹ˃Ĝˋॄ੟Ćࡅ‫࢒ކ‬ɍණ‫ާۊ‬ཡௐāණ‫ާۊ‬ཡ‫ݻ‬

௫ࢡૢოࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Ifsjujfs!Nvcxbob!
Lbmxb

ʋˋʌმ଱
ࢼሆਡ

ຕोࣟāʃʗˋʄୋૢ
ოஒఱ৏ଜ‫ޏ‬ຕो‫ݻ‬

‫ݻ‬ෳ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Opfmmb!Np{fmj!Lfoexb

ʋˋʌმ଱
ࢼሆਡ

ຕोࣟā‫ཾێ‬ຕो ¦ ဘ‫ૄݟ‬ౘ‫ݻ‬

ࡳ୹ʭ˄Ĝ
ʸˇĜʇඐ
ຎࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Gsbodjt!Pcfoh.Bev!

ʄĜʢຕोࣟāණ‫ݻۋ࣋ۊ‬‫ݻ‬ෳၒੂĆಮᄑࠋॸ࢞ଆॽߔˀʍʭɹʛʠ

3128021038

Zvojbsujɼˋʡʥʏɺ

ຕोࣟāယ಑Ćຕोင

ૢოࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Tbjg!Gbx{j!Bm.Bojɼˁʇෂܻຕोࣟāࠞࣃຕो‫ݻ‬௫‫ັ౉ݚ‬ඐຎ
ॸ࢞ଆॽߔ
௫ࢡಮᄑࠋ

ˀʍʭɹʛʠ

3128021038

Npibobe!Tbbej!
Bm.Pkbjmj

ɼˁʇࡅ‫࢒ކ‬ɍණ‫ާۊ‬ཡௐā๲ණᆀᅙ‫ݻ‬

௫ࢡ෮ੈࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Ob{jsb!Lfsjnbmjfwb!

ʅ˃ʆʑਡ‫ݦ‬ຕो‫ޏۙڳ‬ā૩റ‫ݢ‬༑ɄާཡĆࠞࣃຕो‫ݻ‬

௫ࢡಮᄑࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Mfplibn!
Epvbohqibdibo!

ˁʂʑࡅ‫ކ‬Ćຂ૝ௐāຕोࣟଜ‫ޏ‬ຕोင෮ੈާཡ‫ݻ‬

ಮᄑࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Tpvqibuub!
Obqibzwpoh!

ˁʂʑࡅ‫ކ‬Ćຂ૝ௐāࡅ‫ކ‬ငʶʇ˅ॄ੟ࠣᆅࡅ‫ݻކ‬

ಮᄑࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Wbjzblpof!Pvoobmpn

ˁʂʑʴĜ˂ʃʸʍɼॻຕो
ૢოஒ

ॸ࢞ۙ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Tv{jsb!Cjouj!Ebveʶ˄Ĝʏɺຕोࣟāఱ৏ຕो‫ݻ‬‫ݻ‬ෳၒੂ

ॸ࢞ଆॽߔˀʍʭɹʛʠ

3128021038

Xbo!Sbijgbi!Cjouj!
Xbo!Sbnmj

ʶ˄ĜʏɺຕोࣟāʍĜʫʑຕो‫ݻ‬‫ݻ‬ෳၒੂ

ॸ࢞ଆॽߔˀʍʭɹʛʠ

3128021038

Lijo!Zbebobs!PpʷʻˋʶĜࡅ‫ކ‬Ćੰოௐāෂܻຕ
ोࣟ

ૢოࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Zf!Objoh!IufuʷʻˋʶĜࡅ‫ކ‬Ćੰოௐāෂܻຕ
ोࣟ

ૢოࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Vbjob!Ljujpob

ʍʺɺຕोࣟāੰოຕोඐຎ

ଽಌૢოࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Kfssz!Tufqifo!
Pjlxbpʕ˅ʺˋஜ๿

ާཡࡅ‫ކ‬Ćૅ‫ܧ‬෮౲ௐࠠ૗Ć࿎‫ݻݟ‬

‫ݻ‬ෳ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Kptfqibu!Ohbwfmf!
Ublp!

ʕ˅ʺˋஜ๿

ੰოௐāຕोࣟ

ຕोࠋၒੂ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Ijcb!Bmufsbgj!
Hjtnbmmbi!Bcebmmbi

ʑĜʘˋਡ‫ݦ‬ఱ৏࿎ࡼ‫ޏ‬ఱ৏Ćާཡඐຎငᄑ

෮ੈࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

ෂܻຕोࣟāॄ੟ࣸᅃຕोࠣᆅ‫ݻ‬

ຕोॳੈࠋ
ၒੂ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

ެਡఱᅰၸଞ
્āāāāშ

ਡāಔஒമ࡙࠲შ

Spcfsuvt!Ifsv!
Usjibskboup

ɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

Ibssz!Tfquboup!

ɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋۧහࣟ

Bef!Qvusj!Tfquj!
Kbzbojɼˋʡʥʏɺ

Exjzboup

Nbsxb!Npibnfeopvs!
ʑĜʘˋ
Jttb!Npibnfeopvs!

ఊāშ― 111 ―

ᅰၸᄆโ

ି໴࣋ۙ
્āāშ

ࡖā࠰

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

ଽಌಮᄑࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

ຕोࣟā‫߆ݟ‬Ć࠲ಉ‫ݻ‬
ā

௫ࢡಮᄑࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

ຄʞɻʺĜ˃

ຕोࣟā଴ၭĆʟĜʗ
େୠ‫ݻ‬

஑ࢡಮᄑࠋ

ॸ࢞ଆॽߔ

ˀʍʭɹʛʠ

3128021038

Sbwjl!Lbstjejɼˋʡʥʏɺ

ʓʱˁʑʶ˄ʛʠ൥ߔ

ߔෳ

ࢾฤ෮ۗ

ˀʍʭɹʛʠ

312802203

Ubvgjr!bm!Nblnvoɼˋʡʥʏɺ

ʓʱˁʑʶ˄ʛʠ൥ߔ

ਡ੫ৄᆔ‫ݻ‬ෳࢾฤ෮ۗˀʍʭɹʛʠ

312802203

Sfwjub!Fsobxbuj

ɼˋʡʥʏɺ

ʓʱˁʑʶ˄ʛʠ൥ߔ

ਆુ஝଴

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

312802207

Mbsbt!Iboj!Opwjbouzɼˋʡʥʏɺ

ʓʱˁʑʶ˄ʛʠ൥ߔ

ॸ࢞ۙ

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

312802207

Ifsobxbo!Ibejɼˋʡʥʏɺ

ʓʱˁʑʶ˄ʛʠ൥ߔ

ॸ࢞ۙ

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

312802207

Joubo!Cbsfuub!Ovs!
Boojtbɼˋʡʥʏɺ

ʓʱˁʑʶ˄ʛʠ൥ߔ

ॸ࢞ۙ

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

312802207

Boej!Sbinboɼˋʡʥʏɺ

ʓʱˁʑʶ˄ʛʠ൥ߔ

ॸ࢞ۙ

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

312802207

Lbsujlb!Efxjɼˋʡʥʏɺ

ʟɻʵʥʌ˅൥ߔ

ॸ࢞ۙ

ࢼວॸ࢞

ˀʍʭɹʛʠ

3128022027ġ
3128023023

Qjohlbo!Qfhhz!FhbnɼˋʡʥʏɺʍʸĆˁʙʽˁˋʆ൥ߔ

ୌ઺‫ݻ‬า
ʯ˅ʈˁʸෳ

࿍ऽၸᄎˀʍʭɹʛʠ

3128022027

Bsuivs!I/!Uibncbt

ɼˋʡʥʏɺʍʸĆˁʙʽˁˋʆ൥ߔ

ߔ౺

࿍ऽၸᄎ

ˀʍʭɹʛʠ

3128022027

Gsfooz!G/G/!Lbjsvqbo

ɼˋʡʥʏɺʍʸĆˁʙʽˁˋʆ൥ߔ

ߔ౺

࿍ऽၸᄎ

ˀʍʭɹʛʠ

3128022027

Nbsjboj!S/H/P/!Tblvs

ɼˋʡʥʏɺʍʸĆˁʙʽˁˋʆ൥ߔ

ߔ౺

࿍ऽၸᄎ

ˀʍʭɹʛʠ

3128022027

Wjshjop!T/!NpojbhbɼˋʡʥʏɺʍʸĆˁʙʽˁˋʆ൥ߔ

ߔ౺

࿍ऽၸᄎ

ˀʍʭɹʛʠ

3128022027

Ufhvi!S/!Ibmbn

ɼˋʡʥʏɺʍʸĆˁʙʽˁˋʆ൥ߔ

ߔ౺

࿍ऽၸᄎ

ˀʍʭɹʛʠ

3128022027

Bmgpotf!Q/W/!SbnsjohɼˋʡʥʏɺʍʸĆˁʙʽˁˋʆ൥ߔ

ߔ౺

࿍ऽၸᄎ

ˀʍʭɹʛʠ

3128022027

Wjwb!T/!Tbdfuujb

ɼˋʡʥʏɺʍʸĆˁʙʽˁˋʆ൥ߔ

ߔ౺

࿍ऽၸᄎ

ˀʍʭɹʛʠ

3128022027

Sjtbu!JfohlfjɼˋʡʥʏɺʍʸĆˁʙʽˁˋʆ൥ߔ

ߔ౺

࿍ऽၸᄎ

ˀʍʭɹʛʠ

3128022027

Njdibfm!EjfoɼˋʡʥʏɺʍʸĆˁʙʽˁˋʆ൥ߔ

ߔ౺

࿍ऽၸᄎ

ˀʍʭɹʛʠ

3128022027

T!B!Obvmjuub!
Qbohhbcfbo

ɼˋʡʥʏɺ

ɼˋʡʥʏɺ൥ߔ໘
ಫᅝ൥ߔ JFD ʂʭɻʑ

ఊۙ

࿍ऽၸᄎ

ˀʍʭɹʛʠ

312802308

Sj{rj!J(bobuvt!
Tipmjibi

ɼˋʡʥʏɺ

ࢶ๬൥ߔߔ౺ɼˋʗĜˋʏʛʯ

ˀʍʭɹʛʠ

3128023024ġ
312903037

Wfcubtwjmjɼˋʡʥʏɺ

Vojwfstjubt!Cbohlb!
Cfmjuvoh!

ߔ౺

࿍ऽၸᄎ

ˀʍʭɹʛʠ

3128023025

Bmmfo!Tijf൤ሕ൤ሕਡ‫ۧݦ‬හʓˋʗĜ‫ܒ‬౳ާཡင
ෳॸ࢞൅ਗȵˀʍʭɹʛʠ

3128023029ġ
3128023031

Cps.Ibo!!Xv൤ሕ൤ሕਡ‫ۧݦ‬හʓˋʗĜ

ॸ࢞ۙ

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

3128023029ġ
3128023031

Dfmjb!Difo൤ሕ൤ሕਡ‫ۧݦ‬හʓˋʗĜ

ॸ࢞ۙ

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

3128023029ġ
3128023031

Bmbo!Mjo൤ሕ൤ሕਡ‫ۧݦ‬හʓˋʗĜ

ॸ࢞ۙ

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

3128023029ġ
3128023031

Hvobxbo!Tfuzp
Qsbcpxpɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ਂऋငᄑෳ

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

3128023032ġ
3128023034

Bsj!Tvhfoh!
Cvejzboubɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

3128023032ġ
3128023034

ެਡఱᅰၸଞ
્āāāāშ

ਡāಔஒമ࡙࠲შ

Ojmzvgbs!Tpcjspwob!
Livtfzopwb!!

ʗʐʅʑʗˋ

ຕोࣟāਡმॄ੟ोધʏʑʞʸĆੰოຕो‫ݻ‬ಮᄑࠋ

Bmmbzps!Tbjervmpwjdi!
Obtsjeejopw

ʗʐʅʑʗˋ

ຕोࣟāਡმॄ੟ोધʏʑʞʸĆੰოຕो‫ݻ‬

Tpijckpo!
Upkjcflpwjdi!Tbjqpw!

ʗʐʅʑʗˋ

Kbdpc!Eb!Dptubఊāშ― 112 ―

ᅰၸᄆโ

ି໴࣋ۙ
્āāშ

ࡖā࠰

ॸ࢞൅ਗȵ

ˀʍʭɹʛʠ

3128023032ġ
3128023034

࣋ୂ

ॸୌ

Ⴈࣕಫ୽

312902032ġ
312902039

ɾʘʼʢ൥ߔ

࣋ୂ

ॸୌ

Ⴈࣕಫ୽

312902032ġ
312902039

ɼˋʡʥʏɺ

ಀʐʻˇୋ༔౱င

ఆဘ‫ܖ‬࿒ࠣ
ᆅಮᄑࠋ

ॸୌ

Ⴈࣕಫ୽

312902032ġ
312902039

Hvobsej!Tjhju

ɼˋʡʥʏɺ

ಀʐʻˇୋ༔౱င

༔ࣞॸୌʓ
ˋʗĜ
ʠ˄ĜʢĜ

ॸୌ

Ⴈࣕಫ୽

312902032ġ
312902039

Ujub!Ovssptxjub!

ɼˋʡʥʏɺ

ಀʐʻˇୋ༔౱င

༔ࣞ૝঍င
ෳ

ॸୌ

Ⴈࣕಫ୽

312902032ġ
312902039

Cvej!Vupzp

ɼˋʡʥʏɺ

ಀʐʻˇୋ༔౱င

ఆဘ‫ܖ‬࿒ࠣ
ᆅಮᄑࠋ

ॸୌ

Ⴈࣕಫ୽

312902032ġ
312902039

Ebebo!Ijebzbu!

ɼˋʡʥʏɺ

ಀʐʻˇୋ༔౱င

఍ဘਢဘ‫ܠ‬
॑။ী
ʓˋʗĜෳ

ॸୌ

Ⴈࣕಫ୽

312902032ġ
312902039

Kppo!Ljn

࠴ਡʕɾ˃ਡᆏ൥ߔ࣋ୂࢼວॸ࢞ી‫ۈ‬ሆల

312902022ġ
312902023

Zff!Lvp!Tifoʶ˄Ĝʏɺʶ˃ʙʹʟɻɺ൥ߔ

ॸ࢞ۙ໴૚ˀʍʭɹʛʠ

31290308ġ
3129030:

BcevmāTzvlvs

ɼˋʡʥʏɺ

˂ɺɾɼʑˁʸ൥ߔਆુ໴૚ˀʍʭɹʛʠ

31290306ġ
312903021

Hvobxbo!Xjcjtpop!

ɼˋʡʥʏɺ

ɼˋʡʥʏɺ൥ߔ

ਆુ࿍ऽၸᄎˀʍʭɹʛʠ

312903027

Epej!Tvejbob

ɼˋʡʥʏɺ

ɼˋʡʥʏɺ൥ߔ

ਆુ࿍ऽၸᄎˀʍʭɹʛʠ

312903027

ZvmjbtijujɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsub࣋ۙ࿍ऽၸᄎˀʍʭɹʛʠ

312903034

Fmmz!Kbnbmjbi

ɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

Ibcjc

ɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

TibgbɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

SbeijɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

LibzjsbɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

BmzbɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

BoesbejufɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

JsgbopɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

SbtibɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

ObcjmbɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

IbzobɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

WsjmbɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

ެਡఱᅰၸଞ
્āāāāშ

ਡāಔ

ஒമ࡙࠲შ

ఊāშ

Bhvt!Bsjcpxp

ɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

ॸ࢞ۙ

Bobl!Bhvoh!Bzv!
Njsbi!Bejɼˋʡʥʏɺ

ɾʘʼʢ൥ߔ

J!H!B!B!Bncbsbxbuj!!! ɼˋʡʥʏɺ
Tjubsftnj!Efxbzboj― 113 ―

ᅰၸᄆโެਡఱᅰၸଞ
્āāāāშ

ਡāಔ

ஒമ࡙࠲შ

ఊāშ

ᅰၸᄆโ

ି໴࣋ۙ
્āāშ

ࡖā࠰

Ejlb

ɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

CbzvɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

BsjfɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

Hjfmcsbo

ɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

JsibnɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

Efcsb

ɼˋʡʥʏɺTNB!Bm.B{ibs!2!
Kblbsubߔ౺࿍ऽၸᄎˀʍʭɹʛʠ

312903034

Fwj{bm!Bcevm!Lbejs

ɼˋʡʥʏɺ

Vojwfstjubt!Jtmbn!Sjbv

Ejsfdups

ࢼວॸ࢞

໴৮ల઺

312903039ġ
31290405

Kjo!Difoෂਡ႘ࢶુཱྀ൥ߔ

࣋ୂਡ੫ࢼວᆀᅙĆ
ࢼວॸ࢞

ᅔā‫ڰ‬

312903037ġ
31290402

Rjboh!Mjෂਡ႘ࢶુཱྀ൥ߔ

࣋ୂਡ੫ࢼວᆀᅙĆ
ࢼວॸ࢞

ᅔā‫ڰ‬

312903037ġ
31290402

Fwj{bm!Bcevm!lbejsɼˋʡʥʏɺ

˂ɺɾĆɼʑˁʸ൥ߔ

ॸ࢞ۙ

࿍ऽၸᄎ

ˀʍʭɹʛʠ

31290402ġ
31290404

Befm!Tibmbcz

ʀʐʯʠObujpobm!Bvuipsjuz!
gps!Sfnpuf!Tfotjoh!
boe!Tqbdf!Tdjfodf๲ණᆀᅙငෳ

࿍ऽၸᄎˀʍʭɹʛʠ

31290406ġ
31290408

Npnpo!Tbejzbunpɼˋʡʥʏɺ

ɼˋʡʥʏɺਡᆏਂऋ
ۧහࣟ

௫ࢡॸ࢞ۙ

࿍ऽၸᄎ

ˀʍʭɹʛʠ

312904034

T/B/!Obvmjuub!
Qbohhbofbo!

ɼˋʡʥʏɺ

ɼˋʡʥʏɺ൥ߔ໘
JFD ʂʭɻʑ

ఊۙ൅ਗȵˀʍʭɹʛʠ

312904041

࣋ୂ

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

31290406ġ
312904024

࣋ୂ

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

31290406ġ
312904024

Ⴈࣕಫ୽

31290406ġ
312904024

Cbcb!Cbsvt

Mjmjl!Cvej!Qsbtfuzpɼˋʡʥʏɺ

ɼˋʡʥʏɺ

ʴʌĜ˃༔‫ݨ‬൥ߔʴʌĜ˃༔‫ݨ‬൥ߔ

Nvibnnbe!
Bsejbotzbiɼˋʡʥʏɺ

ʴʌĜ˃༔‫ݨ‬൥ߔ஝࣋

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Binbe!Kvobfejɼˋʡʥʏɺ

ʴʌĜ˃༔‫ݨ‬൥ߔ஝࣋

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

31290406ġ
312904024

஝࣋

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

31290406ġ
312904024

஝࣋

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

31290406ġ
312904024

ஂ࣋ୂ

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

31290406ġ
312904024

Cpfej!Ukbizpop

Tvszp!Xjzpop

Efez!Cvejnbo!Ibljn

ɼˋʡʥʏɺ

ɼˋʡʥʏɺ

ɼˋʡʥʏɺ

ʴʌĜ˃༔‫ݨ‬൥ߔʴʌĜ˃༔‫ݨ‬൥ߔʴʌĜ˃༔‫ݨ‬൥ߔ

― 114 ―

ެਡఱᅰၸଞ
્āāāāშਡāಔ

J!Nbef!Bopn!
Tvusjtob!Xjkbzbஒമ࡙࠲შɼˋʡʥʏɺ

ఊāშɾʘʼʢ൥ߔ

ି໴࣋ۙ
્āāშ

ᅰၸᄆโ

ࡖā࠰

࣋ୂ

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

31290406ġ
312904024

Ⴈࣕಫ୽

31290406ġ
312904024

J!Ozpnbo!Sbj

ɼˋʡʥʏɺ

ɾʘʼʢ൥ߔ

࣋ୂ

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬

J!Qvuv!Tvejbsub

ɼˋʡʥʏɺ

ɾʘʼʢ൥ߔ

ஂ࣋ୂ

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

31290406ġ
312904024

J!Lfuvu!Tvbebɼˋʡʥʏɺ

ɾʘʼʢ൥ߔ

ஂ࣋ୂ

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

31290406ġ
312904024

ਆુ

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

312904037ġ
312905021

ਆુ

Lopxmfehf!
Dp.Dsfbujpo!
qsphsbn!jo!
Kbqbo Ʌઞ‫ݡ‬Ⴈࣕಫ୽

312904037ġ
312905035

Tfuzbsej!Qsbujlb!
Nvmzb

ɼˋʡʥʏɺ

Bobl!Bhvoh!Lftxbsj!
ɼˋʡʥʏɺ
LsjtoboejlbʴʌĜ˃༔‫ݨ‬൥ߔɾʘʼʢ൥ߔ

6/3/ā࣋ۙɈ‫ެޠ‬๧ਂެ ਡ ୸ ෟ Ć‫ ॸ ެ ޠ‬ୌ
્āāშ

ਡāშ

ᅙāოāಪ

ࡖā࠰

ᅙāāāო

ˀʍʭɹʛʠ

ɼˋʡʥʏɺ

ϱʫʶʓʢʨˋʡˋૅଜ
ϲʩʘˋୋᆏ൥ߔϳSUWϴɼˋʡʥʏɺ൥ߔϵˁʮʧˋʨ
ʐʿୈ၃

312805025ġ
312805035

ϱTBSާཡɅȾȞɀ൅ਗȵϲਆ‫ܩ‬ϳʞ˄ʫଲ੮ϴਆ‫ܩ‬ϵɼˋʡʥʏɺ൥઴࠵࢒ɍɼ
ˋʡʥʏɺ൥ߔɂEjbtqpsbʯ
˅ʈˁʸɅȾȞɀ൅ਗȵ‫ৄྣ܄ۿ‬࿥ࣸˀʍʭɹʛʠ

ʶ˄ĜʏɺĂ
ɼˋʡʥʏɺ

ϱʑɼʑʄĜʟˋʳʞ˃ʇɺˁ˃ˋʯĜ˃ϲʄʐʻʶʘ൥
ߔϳʓʱˁʑʶ˄ʛʠ൥ߔ
ϴCijnbtfobʨˋʡˋૅଜ
ϵSUW!

312806023ġ
312806034

ϱJDNB3128Ʌɀਆ‫ܩ‬ϲϳਆ‫࢒ܩ‬ɍࢾฤ৫ȥɣߔ౺ି໴൅
ਗȵϴॸ࢞൅ਗȵϵʞ˄ʫେሃ‫ৄྣ܄ۿ‬࿥ࣸ‫݊ڤ‬ā೑ဦ

ဴਡʣʽĜˀĜʇୋਡᇦႨင

312806024ġ
312806029

TUJāGpsvn୸ಌĂࡊ෮ਆ‫ܩ‬ެოௐĜಪၫ࿹ඐ

ી‫ۈ‬āሆల

ʡɼʜʶʛʇʑʯˁˋʇ౺ဘණ࢝‫ݛ‬ߔॸ࢞ஒ!

312806026ġ
312806032

ॸ࢞ཡ࿍Ă൅ਗȵି൵ી‫ۈ‬Īࠞࣃௐāࠞࣃॸ࢞ஒī

ટ๜āც९ʭɻˋˁˋʡ

ʰ˃ʏˋʅ൥ߔ

31280706ġ
312807021ਡ੫ˇĜʇʏʿʛʯĪ24ui!
JXHHNTīઞ‫ݡ‬Ćཡ࿍ି൵ᥓນĪKBYBī໴৮āల઺ʭɻˋˁˋʡ

ϱʰ˃ʏˋʅ൥ߔ
ϲʭɻˋˁˋʡ࡜௣ॸ࢞ஒ

31280706ġ
312807022

ϱ!ਡ
! ੫ˇĜʇʏʿʛʯĪ24ui!
ਡᆏࠞࣃॸ࢞ஒĜ
JXHHNTī୸ಌϲ!H! PTBU!SBॸ࢞ൣ࿍ଞ‫ ޏ‬ಪၫ࿹ඐ
ࡼ୸ಌ

ᥓນāஶા

ʭɻˋˁˋʡ

ϱʰ˃ʏˋʅ൥ߔ
ϲʭɻˋˁˋʡ࡜௣ॸ࢞ஒ

31280706ġ
312807022

ϱ!ਡ
! ੫ˇĜʇʏʿʛʯĪ24ui!
JXHHNTīɅ୸ಌĆཡ࿍!ϲ!H! PTBU!SB!QJ!‫୸ࡼޏ‬ಌି൵ᥓນĪKBYBīી‫ۈ‬āሆల

ဴਡʃ˂ʭʁ˃ʣɺ൥ߔ

31280707ġ
312807022

GMVYOFUāDpogfsfodf3128ઞ‫ݡ‬Ćཡ࿍ି൵ી‫ۈ‬Īࠞࣃௐāࠞࣃॸ࢞ஒī

― 115 ―

ᅅāāધ

્āāშ

ਡāშ

ᅙāოāಪ

ࡖā࠰

ᅙāāāო

ᅅāāધ

ˀʍʭɹʛʠ

ʃʢʘ

Vojwfstjuͯ!ev!Rvͯcfd!ͥ!
Npousͯbm

31280702:ġ
312807036

Uif!22ui!Bewbodfe!TBS!
Xpsltipqઞ‫ݡ‬Ćཡ࿍‫ৄྣ܄ۿ‬࿥ࣸĪʈ˅Ĝʨ˃ʯ˅ʷ
ʥˋʠī

Ⴈࣕāಫ୽

ɼˋʡʥʏɺ

ϱʴʌĜ˃༔‫ݨ‬൥ߔϲಀʐʻˇୋ༔౱ငʠ˄Ĝʣˋʈʓˋ
ʗĜϳɾʘʼʢ൥ߔ

31280803ġ
31280809ʅʛʇʂʭʷĜʞɻˋʈĂএණࠫപ൅ਗȵ

ି൵ႨࣕĪKTUī਒࣌ā‫ڟ‬਑ʭˁˋʑ

Dpohsft!fu!Fyqptjujpo!ef!
Cpsefbvy

31280808ġ
312808025ߔ‫ޏ‬ઞ‫ݡ‬Ćཡ࿍‫ৄྣ܄ۿ‬࿥ࣸĪʈ˅Ĝʨ˃ʯ˅ʷ
ʥˋʠī

ᅔā‫ڰ‬

ෂਡ

႘ࢶુཱྀ൥ߔ

312808024ġ
312808027ਡ੫ʏˋʵʐɾʸઞ‫ݡ‬Ćཡ࿍ެင૝ࣸ−‫ॸߔݨ‬
࢞ྣၒ஝ࣸ

Ⴈࣕāಫ୽

ܑਡ

Vojwfstjuz!pg!Fejocvshi

312808026ġ
312808033

ߔ‫ޏ‬ઞ‫ݡ‬Ćཡ࿍ି൵ႨࣕĪKTUī‫ۈ‬ഺāఒࡹ

ဴਡ

Gpsu!Xpsui!Dpowfoujpo!
Dfoufs312808033ġ
312808041

ਡ੫ʏˋʵʐɾʸઞ‫ݡ‬Ćཡ࿍‫ৄྣ܄ۿ‬࿥ࣸႨഽā‫ݣ‬ცဴਡ

Gpsu!Xpsui!Dpowfoujpo!
Dfoufs312808034ġ
312808041

ਡ੫ʏˋʵʐɾʸઞ‫ݡ‬Ćཡ࿍ି൵ႨഽĪHDPNīી‫ۈ‬āሆల

ဴਡ

Gpsu!Xpsui!Dpowfoujpo!
Dfoufs312808036ġ
312808041

ਡ੫ʏˋʵʐɾʸઞ‫ݡ‬Ćཡ࿍ି൵KBYBĪHDPN.D2ī

Ⴈࣕāಫ୽ɼˋʡʥʏɺ

ಀʐʻˇୋCp!Kpjohqjdvoh!
Djifbୈ၃

312808038ġ
31280905এණ෮ੈĂେᆲപฤ

ି൵ႨࣕĪKTUīˀʍʭɹʛʠ

ɼˋʡʥʏɺ

ϱɼˋʡʥʏɺ൥ߔϲʐʻʃ˃ʗऋৱϳʶʃʛʍ˃ऋৱ

312808041ġ
312809027‫ৄྣ܄ۿ‬࿥ࣸʭˁɼʠʞʑʠĂ൅ਗȵĂஈĪʈ˅Ĝʨ˃ʯ˅ʷ
ྩ
ʥˋʠī

ᅔā‫ڰ‬

ʏˋʄʵĜ˃

Dpowfoujpo!Dfousf!.!
TVOUFD!Tjohbqpsf

31280906ġ
312809022

ߔ‫ޏ‬ઞ‫ݡ‬

ି൵KBYBĪHDPN.D2ī

ી‫ۈ‬āሆల

ʏˋʄʵĜ˃

Dpowfoujpo!Dfousf!.!
TVOUFD!Tjohbqpsf

31280907ġ
312809022

ߔ‫ޏ‬ઞ‫ݡ‬ି൵ી‫ۈ‬Īࠞࣃௐāࠞࣃॸ࢞ஒī

ࣷນā‫ދ‬౮ʏˋʄʵĜ˃

Dpowfoujpo!Dfousf!.!
TVOUFD!Tjohbqpsf

3128090:ġ
312809022

ߔ‫ޏ‬ઞ‫ݡ‬ି൵ી‫ۈ‬Īࠞࣃௐāࠞࣃॸ࢞ஒī

ࣷນā‫ދ‬౮ෂਡ

Cfjkjoh!Joufsobujpobm!
Dpowfoujpo!Dfoufs

312809027ġ
31280902:ߔ‫ޏ‬ઞ‫ݡ‬ି൵ી‫ۈ‬Īࠞࣃௐāࠞࣃॸ࢞ஒī

ࣷນā‫ދ‬౮ʑɼʑ

Dpohsftt!Dfousf!Lvstbbm!
Joufsmblfo

312809031ġ
312809038

ߔ‫ޏ‬ઞ‫ݡ‬ି൵ી‫ۈ‬Īࠞࣃௐāࠞࣃॸ࢞ஒī

ᥓນāஶાʑɼʑ

Dpohsftt!Dfousf!Lvstbbm!
Joufsmblfo

312809031ġ
312809039

ߔ‫ޏ‬Ă‫ࡼޏ‬ઞ‫ݡ‬ି൵ᥓນĪKBYBī

ᅔā‫ڰ‬

ෂਡ

Dijob!Obujpobm!Dpowfoujpo!
Dfoufs!
ĪDODDī

312809031ġ
312809035

ߔ‫ޏ‬ઞ‫ݡ‬

ି൵KBYBĪHDPN.D2ī

ી‫ۈ‬āሆల

ʑɼʑ

Dpohsftt!Dfousf!Lvstbbm!
Joufsmblfo

312809034ġ
312809038

ߔ‫ޏ‬ઞ‫ݡ‬ି൵ી‫ۈ‬Īࠞࣃௐāࠞࣃॸ࢞ஒī

ˀʍʭɹʛʠ

ɼˋʡʥʏɺ

ϱʐʿʈʐʻʃ˃ʗऋৱϲʓʯ˃ʭʦʲˋʱ˃৙‫ݨ‬൥ߔϳǨBQJOEPϴʓʱˁʑʶ
˄ʛʠ൥ߔ

312809035ġ
31280:021

ʭˁɼʠʞʑʠଌૈ

‫࡙ۿ‬īǣǬॸ࢞ࡊࠎʙʽɺʷˋʼʸɼˋʡʥʏɺ

ʐʿʈʐʻʃ˃ʗऋৱ

312809035ġ
31280:05

ʭˁɼʠʞʑʠଌૈ

‫࡙ۿ‬īǣǬॸ࢞ࡊࠎʘʷɺĜʣɺ˄ʛʍˋʡ˅

໤ɺʭ˂ʃ

Uif!Dbqf!Upxo!Joufsobujpobm! 312809037ġ
Dpowfoujpo!DfousfĪDUJDDī 31280:03ߔ‫ޏ‬ઞ‫ݡ‬ି൵ǟǮǡǯǰ
ĪKTUīી‫ۈ‬āሆల

໤ɺʭ˂ʃMbhppo!Cfbdi!Ipufm-!Dbqf!
Upxo

31280:027ġ
31280:035ߔ‫ޏ‬ઞ‫ݡ‬ಪၫ࿹ඐ−ਡ໘Ɉ
ॸ࡙࢞࠲ຑ

਒ഺāმᅂ

ʺˋʌ˃

ϱʺˋʌ˃ਡᆏ൥ߔϲʺˋʌ˃‫୹ࡳߔݨ‬൥ߔ

31280:029ġ
31280:035

ࠫപ࡙੮ɈʹˋʞʢˋʑĂ‫ି ڷ‬൵ǟǮǡǯǰ
ॽৄࠓ
ĪKTUī

໴৮āల઺

ʺˋʌ˃

ϱʺˋʌ˃ਡᆏ൥ߔϲʺˋʌ˃‫୹ࡳߔݨ‬൥ߔ

31280:02:ġ
31280:035

ࠫപ࡙੮ɈʹˋʞʢˋʑĂ‫ڷ‬ॽৄࠓ― 116 ―

ެင૝ࣸ−‫ॸߔݨ‬
࢞ྣၒ஝ࣸ

્āāშ

ਡāშ

ᅙāოāಪ

ࡖā࠰

Ⴈࣕāಫ୽

ɼˋʡʥʏɺ

ϱಀʐʻˇୋ༔౱ငʠ˄ĜʣˋʈʓˋʗĜϲJDBʐʻʃ˃ʗૢოஒϳʴʌĜ˃༔‫ݨ‬൥ߔ

312802102ġ
312802107

ʙ˂ϱDpowfoujpo!dfoufs!pg!uif!
Ipufm!Esfbnt!!efm!Ftusfdip
312802103ġ
ϲVojwfstjebe!ef!Tboujbhp!ef!
3128021025
DijmfĪʍˋʞɻɺʌ¦ʟ¦ʙ˄൥ߔīߔ‫ޏ‬Ă‫ࡼޏ‬Ɂਆ‫ܩ‬ʍˋʞɻɺʌ ¦ ʟ ¦!
ʙ˄൥ߔğି൵໴
৮ĪDSFTUīĽಪၫ࿹ඐˀʍʭɹʛʠ

ɼˋʡʥʏɺ

ϱHsboe!Joob!Nvbsb-!Ipufm!
boe!Dpowfoujpo!Dfoufs!
312802105ġ
ϲCvlju!ujohhj-!Lfmpl!Tfncjmbo! 3128021021
ϳɼˋʡʥʏɺ฽ඖණဌ࣓ෝ

ߔ‫ޏ‬ઞ‫ݡ‬Ăਆ‫ܩ‬Ă൅ਗȵʩʘˋୋᆏ൥ߔĽ
ಪၫ࿹ඐ

Ⴈࣕāಫ୽

ʣʽĜʐĜˁˋ
ʡ

Dmbvefmboet!dpogfsfodf!boe!
fyijcjujpodfoufs-!Ibnjmupo

3128021025ġߔ‫ޏ‬ઞ‫ݡ‬Ăཡ࿍
312802102:

ି൵ႨࣕĪKTUīႨࣕāಫ୽ɼˋʡʥʏɺ

ϱʴʌĜ˃༔‫ݨ‬൥ߔϲɾʘʼʢ൥ߔ

312802203ġ
312802208

TBUSFQTॸ࢞൅ਗȵି൵ႨࣕĪKJDB!TBUSFQTī‫ۈ‬ഺāఒࡹ

ဴਡ

Sfobjttbodf!Mbt!Wfhbt!Ipufm

312802208ġ
3128022024

ਡ੫ʏˋʵʐɾʸຑɅઞ‫ݡ‬‫ৄྣ܄ۿ‬࿥ࣸ

ᅔā‫ڰ‬

ෂਡ

ϱ௫‫ৄޠ‬ฆ൥ߔϲ໤ࢶණᆅঢ
ைॸ࢞ஒϳ‫ޠݭ‬൥ߔ

3128022023ġ
ॸ࢞൅ਗȵĂ‫ࡼޏ‬ઞ‫ݡ‬
312802202:

ެင૝ࣸ−‫ॸߔݨ‬࢞ྣၒ஝ࣸ‫݊ڤ‬ā೑ဦ

ɼˋʡʥʏɺ

Cftu!Xftufso!Qsfnjfs!Uif!
Ijwf!

3128022033ġ
ਡ੫ʏˋʵʐɾʸ൅ਗȵĂ୸ಌ
3128022036‫ৄྣ܄ۿ‬࿥ࣸ਒࣌ā‫ڟ‬਑ɼˋʡʥʏɺ

Cftu!Xftufso!Qsfnjfs!Uif!
Ijwf!

3128022034ġ ਡ੫ʏˋʵʐɾʸĂ൅ਗȵĂ
3128022036
ਆ‫ܩ‬Ă෮ੈ

‫ৄྣ܄ۿ‬࿥ࣸˀʍʭɹʛʠ

ɼˋʡʥʏɺ

ϱCftu!Xftufso!Qsfnjfs!
Uif!IjwfϲMBQBOϳ!ʫʶʓ
ʢʨˋʡˋૅଜϴɺʭʶʡĆʘʭˁˋ൥ߔϵʓʱˁʑʶ
˄ʛʠ൥ߔĂʍˋʆˁˋી໘!

3128022034ġ
ߔ‫ޏ‬ઞ‫ݡ‬Ăਆ‫ܩ‬Ă൅ਗȵ
312802303‫ৄྣ܄ۿ‬࿥ࣸી‫ۈ‬āሆల

࠴ਡʕɾ˃൥ߔ

3128022037ġ
ॸ࢞൅ਗȵ
312802203:

ಪၫ࿹ඐ−ਡެɈ
ॸ࡙࢞࠲ຑ

ᥓນāஶા

ʭˁˋʑ

ʭˁˋʑ࡜௣ࣟ

3128022038ġ ࢼວॸ࢞൅ਗȵĂག઺ߔ‫ڮ‬గ
312802304
ੈಪၫ࿹ඐ−ਡެɈ
ॸ࡙࢞࠲ຑ

Ⴈࣕāಫ୽

ɼˋʡʥʏɺ

ʴʌĜ˃༔‫ݨ‬൥ߔ

312802303ġ
312802307

TBUSFQTʯ˅ʐɿʇʠ
൅ਗȵĂKDDĂTdjfoujgjd!
Dpnnjuuff୸ಌି൵ႨࣕĪKJDB!TBUSFQTī࢏౦ā৘ცɼˋʡʥʏɺ

ʴʌĜ˃༔‫ݨ‬൥ߔ

312802304ġ
312802307

TBUSFQTʯ˅ʐɿʇʠ
൅ਗȵĂKDDĂTdjfoujgjd!
Dpnnjuuff୸ಌି൵ႨࣕĪKJDB!TBUSFQTīˀʍʭɹʛʠ

൤ሕ

Obujpobm!Obop!Efwjdf!
Mbcpsbupsjft

312802305ġ
312802307

Xpsltipq3128Ʌɀࡊ෮ਆ‫ܩ‬ಪၫ࿹ඐ−ਡެɈ
ॸ࡙࢞࠲ຑˀʍʭɹʛʠ

ɼˋʡʥʏɺ

ʶʃʛʍ˃ऋৱ

312802309ġ
3128023023

DʨˋʡTBSʭˁɼʠʞʑʠ
ɅȾȞɀ൅ਗȵ࢒ɍஈྩ‫࡙ۿ‬īǣǬॸ࢞ࡊ
ࠎ

໴৮āల઺

ဴਡ

Ofx!Psmfbot!Fsoftu!O/!Npsjbm! 3128023021ġ BHV!Gbmm!Nffujoh!3128ઞ‫ݡ‬Ć ެင૝ࣸ−‫ॸߔݨ‬
Dpowfoujpo!Dfoufs
3128023028
ཡ࿍
࢞ྣၒ஝ࣸ

ટ๜āც९

ဴਡ

Ofx!Psmfbot!Fsoftu!O/!Npsjbm! 3128023021ġ BHV!Gbmm!Nffujoh!3128ઞ‫ݡ‬Ćି൵ᥓນĪKBYBī
Dpowfoujpo!Dfoufs
3128023028
ཡ࿍ʦʭɿ˃¦ˁʌ
˅ʍʑE/Dဴਡ

Ofx!Psmfbot!Fsoftu!O/!Npsjbm! 3128023021ġ BHV!Gbmm!Nffujoh!3128ઞ‫ݡ‬Ćණ࢝࡜௣ृWM
Dpowfoujpo!Dfoufs
3128023029
ཡ࿍

Ⴈࣕāಫ୽

ဴਡ

Ofx!Psmfbot!Fsoftu!O/!Npsjbm! 3128023021ġ BHV!Gbmm!Nffujoh!3128ઞ‫ݡ‬Ćି൵ႨࣕĪKTUī
Dpowfoujpo!Dfoufs
3128023028
ཡ࿍

ᥓນāஶા

ဴਡ

Ofx!Psmfbot!Fsoftu!O/!Npsjbm! 3128023022ġ BHV!Gbmm!Nffujoh!3128ઞ‫ݡ‬Ćି൵ᥓນĪKBYBī
Dpowfoujpo!Dfoufs
3128023028
ཡ࿍

Ⴈࣕāಫ୽

ɼˋʡʥʏɺ

ϱʴʌĜ˃༔‫ݨ‬൥ߔϲಀʐʻˇୋ༔౱င

ʘʷɺĜʣɺ˄ʛʍˋʡ˅

31290208ġ
312902023― 117 ―

ᅙāāāო

ᅅāāધ

࡙ࡉʹˋʞʢˋʑĂ൅ਗȵĂ ି൵ႨࣕʅʛʇʂʭʷĜʞɻˋʈĪKJDB!TBUSFQTīॸ࢞൅ਗȵĪTBUSFQTʯ˅ ି൵ႨࣕʐɿʇʠīĪKJDB!TBUSFQTī

્āāშ

ਡāშ

ᅙāოāಪ

ࡖā࠰

ᅙāāāო

ᅅāāધ
ି൵ી‫ۈ‬Īࠞࣃௐāࠞࣃॸ࢞ஒī

ࣷນā‫ދ‬౮ʭˁˋʑ

Mbcpsbupsz!gps!Tdjfodft!pg!
Dmjnbuf!boe!Fowjsponfou

312903024ġ
31290402

ॸ࢞Ă൅ਗȵ

Ⴈࣕāಫ୽ɼˋʡʥʏɺ

ϱʴʌĜ˃༔‫ݨ‬൥ߔϲCpkpohqjdvohୈ၃ϳNfohxjୈ၃

312903028ġ
312903035

ॸ࢞൅ਗȵĪTBUSFQTʯ˅ ି൵ႨࣕʐɿʇʠīĪKJDB!TBUSFQTīી‫ۈ‬āሆల

ʦ˃ɾɿĜ˅Ĝʔˋʘ˃Ăʭɻˀ˃ʡʳʞ˃312903032ġ
312903038

JQCFT!QPMJDZNBLFST!
NFFUJOH!!ઞ‫!!ݡ‬ಪၫ࿹ඐ−ਡެɈ
ॸ࡙࢞࠲ຑʙʽɺʷˋʼʸɼˋʡʥʏɺ

ʶʛʃʍ˃ऋৱ

31290403ġ
31290402:

Dʨˋʡਗ౰ާ৏˄ĜʘĜʭˁɼʠʞʑʠ

ߔ੩UEīʈ˅Ĝʨ˃ʯ˅ʷʥˋʠॸ
࢞ࡊࠎ

Ⴈࣕāಫ୽

ဴਡ

ʲˋʏ˃ʱʣɺୋᆏ൥൥ߔ

312904029ġ
312904034

ॸ࢞൅ਗȵĪTBUSFQTʯ˅ʐɿʇʠīି൵ႨࣕĪKTUණ࢝ࡤჹ‫ݻ‬൨īી‫ۈ‬āሆల

࠴ਡʕɾ˃൥ߔ

312904037ġ
31290504࠴ਡ࡜௣ෝʯ˅ʐɿʇʠ൅ਗȵಪၫ࿹ඐ−ਡެɈ
ॸ࡙࢞࠲ຑ― 118 ―

Įǒ^ā࣋‫ߤۋ‬຦ಫᅝ൥ߔɁɉ3128༃ǐॢɅᆅߔृɂ৙ߔृ൥ߔۡȦ‫ޜ‬೨ȯɦ൥ߔۡᅃਗᆅ৙ߔ࿬Ȧඞ౺ȱɘȱȹăȭɦɘɁᆅߔॸ࢞‫ݨ‬ɂᅃਗ‫ݨ࢞ॸߔݨ‬ɅယȥɦɀஒമȱɀȞȹ DFSfT Ɉ࣋ۙɉĂණ࢝ࠞࣃ‫ߔݨ‬ಮ০Ć˂ʺĜʠʓˋʏˋ
ʈʋĜʑɅୠय़ȱĂࢾᆵȱɀߔ౺Ɉ࣋‫ۋ‬ɅȜȹɥȭɂȦɁȧɥᅕɅɄɤɘȱȹă
7/2/āਆࡹĪߔငĆ൥ߔۡī࿱၅࣋ᅤ๐ާ‫ݨ‬ᄆ!

ණ࢝ࠞࣃɂ˂ʺĜʠʓˋʏˋʈǝ

CEReS 教員分担࿱၅࣋ᅤ๐ާ‫ݨ‬ᄆ!

ණ࢝ࠞࣃɂ˂ʺĜʠʓˋʏˋʈǞ

DFSfT ࣋ۙယඐ࿱၅ಮᄑࡊೣ‫ݨ‬ᄆ!

ᆵߔࡊೣǍĪǏī

Ⴈഽ

ᆅߔင!ಮᄑ‫ݨ‬ᄆĪණ࢝‫ݨߔݨ‬īࠞࣃ˂ʺĜʠʓˋʏˋʈ‫ޱ‬ሄ . ǍࣷນĆႨࣕᆅߔင!ಮᄑ‫ݨ‬ᄆĪණ࢝‫ݨߔݨ‬ī!

ࠞࣃ˂ʺĜʠʓˋʏˋʈ‫ޱ‬ሄ . ǎ樋৏Ć໴৮ᆅߔင!ಮᄑ‫ݨ‬ᄆĪණ࢝‫ݨߔݨ‬ī!

൥࡜˂ʺĜʠʓˋʏˋʈ . Ǎ

樋৏

ᆅߔင!ಮᄑ‫ݨ‬ᄆĪණ࢝‫ݨߔݨ‬ī!

൥࡜˂ʺĜʠʓˋʏˋʈ . ǎ໴৮Ćᥓນᆅߔင!ಮᄑ‫ݨ‬ᄆĪණ࢝‫ݨߔݨ‬ī!

˂ʺĜʠʓˋʏˋʈ໴ᄑ

ࣷນ

ᆅߔင!ಮᄑ‫ݨ‬ᄆĪණ࢝‫ݨߔݨ‬ī!

˂ʺĜʠʓˋʏˋʈĆHJT ଌ୔Ⴈࣕ৙ߔင!ಮᄑ‫ݨ‬ᄆĪ௶ၡ‫ކ‬ജߔ‫ݨ‬ī!

๝૱༜ɂ৉

࢏౦Ć໴৮

৙ߔင!ಮᄑ‫ݨ‬ᄆĪ௶ၡ‫ކ‬ജߔ‫ݨ‬ī!

˂ʺʓˋ৙ߔ

࢏౦ĆˀʍʭɹʛʠĆᥓນ

৙ߔင!ಮᄑ‫ݨ‬ᄆĪ๬ીࠞࣃʏʑʞʸī!

ࠞࣃ˂ʺĜʠʓˋʏˋʈ

࢏౦ĆˀʍʭɹʛʠĆી‫ۈ‬ණ࢝ࠞࣃ‫ߔݨ‬ಮ০်ູਆࡹⅡ

࢏౦ĆࣷນĆˀʍʭɹʛʠĆ樋৏ණ࢝࿍೸ࠫപߔ

ࣷນĆႨࣕĆ樋৏ණ࢝ࠞࣃोപߔ

໴৮ĆߝঈĆᅔၪଗᆅሄࡊೣ

࢏౦ĆˀʍʭɹʛʠĆᥓນණ࢝ࠫപଜ‫ޏ‬ʏʑʞʸી‫ۈ‬ĆႨഽ

ණ‫ʺ˂ࣃࠞۊ‬Ĝʠʓˋʏˋʈ

ࣷນĆႨࣕ൥࡜˂ʺĜʠʓˋʏˋʈ໴৮Ćᥓນᆌ‫ۊ‬ఆ౺˂ʺĜʠʓˋʏˋʈ

ႨഽĆߝঈ౉ஃࠞ˂ʺĜʠʓˋʏˋʈ

樋৏Ćಈນ൱ᄓĪਡᆏࠞࣃॸīĆཆā॒ऀĪसᕸࡹ୶൥ߔī˂ʺĜʠʓˋʍ৙ߔ

࢏౦ĆˀʍʭɹʛʠĆᇑᄄĆ‫ۈ‬ഺࠫപʟĜʗ‫ސ‬಑ી‫ۈ‬Ćᅔ

˂ʺĜʠʓˋʏˋʈູሄⅠ࢏౦˂ʺĜʠʓˋʏˋʈູሄⅡࣷນ˂ʺĜʠʓˋʏˋʈູሄⅢˀʍʭɹʛʠ

˂ʺĜʠʓˋʏˋʈູሄⅣી‫ۈ‬ག઺೐ࡖ‫ݻ‬าĆག઺ষࡖ‫ݻ‬า!ಮᄑ‫ݨ‬ᄆࢼฆག઺೐ࡖ‫ݻ‬าĆག઺ষࡖ‫ݻ‬า!ಮᄑ‫ݨ‬ᄆ˂ʺĜʠʓˋʏˋʈʋĜʑག઺ষࡖ‫ݻ‬า!ಮᄑ‫ݨ‬ᄆ˂ʺĜʠʓˋʏˋʈʋĜʑĪ࿥ī࿱၅࣋‫࣋ۋ‬ᅤ๐ާ‫ݨ‬ᄆĶණ࢝ࠞࣃɂ˂ʺĜʠʓˋʏˋʈ BĂCķāDFSfT ࣋ۙǎʈ˃Ĝʯ౫ɅɢɥယඐɁȳă߂ਆࡹɈ‫ޱ‬ᅟɉ‫ݚڬ‬ɈɂȤɤɁȳăĪ3128༃๱ʏˁʨʑɢɤསౌīŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖ
Ķණ࢝ࠞࣃɂ˂ʺĜʠʓˋʏˋʈ Bķණ࢝Ɉᆌ‫ۊ‬ɅȤȫɥࠞࣃɅ࠲ȳɥਆࡹăණ࢝௫ɅɉఱȦၙɣȱɬ‫܄‬ɚȹȩȯɭɈණ‫ۊ‬ȦȜɤĂȷɦȸɦɈණ‫ۊ‬― 119 ―

ɉ഼Ɉණ‫ۊ‬ɂᅕęɄ࠲ब౯ɬභȧĂഊ঱Ʌ੼ᅙȱɄȦɣʈ˅Ĝʨ˃Ʉ౦‫ޢ‬ɬ৭౰ȱɀȞɘȳă‫ބ‬ęɈၙɣȱɬ࣒ȥȳᅟۚɉĂȭɈ࠲ब౯Ʌ࠲ɩɥᄎ൨ɁȳȦĂ൥ȧȩယȫɀ໩ȾɈᄎ൨ȦȜɤɘȳă‫ێ‬ȾɉĂʘɼʢʷʛʇɄණ࢝ʏʑʞʸɅ࠲ɩɥᄎ൨ɁȜɤĂ࡜েဿ຦Ă౺ൔृɞ౉ஃࠞɈဿ‫ݛ‬ĂɂȷɦɅ࠲ᇦȱȹ఍ᆮ౺દɈ૩റ౯ĂຑȦ࠸ɘɦɘȳăɜȠ‫ێ‬ȾɉĂଜ‫ޏ‬Ăॄ੟Ă౱૭ĂຑɈଜ‫ޏ‬ʏʑʞʸɈȜɤၫɅ࠲ɩɥᄎ൨ɁȜɤĂࠞࣃᄎ൨Ɉఱ࠰
โതჶɂȞȢɘȳăȭɈਆࡹɁɉ˂ʺĜʠʓˋʏˋʈɞණᆅ௶ၡʏʑʞʸɬᅙȞɀĂۧහɅ૗๘ɬ඲Ȟɀණ࢝ɬ኏ᤕȳɥȭɂɅɢɤĂʈ˅Ĝʨ˃Ʉଜ‫ޏ‬Ăණ‫ۊ‬ɂණ‫ۊ‬Ɉ࠲ब౯Ɉᆅ‫ސ‬ɬ૚əɘȳă!!
Ķණ࢝ࠞࣃɂ˂ʺĜʠʓˋʏˋʈ Cķ౺ჩɬ‫ڿ‬૩ȳɥණ࢝ࠞࣃɈএ੭ɬĂۧහɅ૗๘ɬ඲Ȟɀ኏ᤕȳɥȭɂɅɢɤĨɩȦȭɂ‫ݛ‬ĩȱɀനȢɥઽ౬ɬబɅȾȫɥȹɛɅĂ‫ܒ‬౳Ʌɢɥණ࢝ࠫപɈ଴ၭɂȷɦɅɢȽɀຶɣɦȹʟĜʗɈ‫ސ‬಑य़‫ݪ‬ɅȾȞɀ‫ސ‬ತȱĂࡼሄȱɘȳă൥࡜Ć౉ࠞࣃɄɃɅ்๘ɬ৺ɤĂۧහȥɣനȢȹএ੭Ɉණ࢝ɈઽɂĂၨȢɀȞɥᄎ൨ĂȤɢɍ੕ఛɈ˂
ʺĜʠʓˋʏˋʈࡳ୹ɞ‫ܒ‬౳ʟĜʗɈܾᅙɅȾȞɀࡼሄȱɘȳăਆࡹɁɉĂ੕ಪ඘Ɉ‫ݻ‬൨ɂ౰‫ݪ‬ɬࡼሄȱĂණ࢝ࠞࣃᄎ൨ɒɈᆅ‫ސ‬ɬఠɛɘȳăఱ࠰ߤ຦Ɉ߄൥ɉණ࢝ࠞࣃɅ൥ȧɄɼˋʩʇʠɬᅇȢɀȞɥȭɂȦცɣȥɂɄɤȾȾȜɤĂණ࢝โ૗ᄘɁࡼሄȳɥൔ๱ɬఀ౰ȱɘȳăŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖ
7/3/āሄဦ൨ᄆ௘‫ގ‬āိ౰3:༃๱Ɉ DFSfT ࣋ۙɈૄຩɅɢɥག઺Ɉߔ‫ڮ‬ଲຶଞɉǎშɁȱȹăୌ઺ሄဦ22შĂലࣞሄဦ25შɂɂɜɅĂȭȭɁ௘‫ގ‬ȱɘȳăɄȤĂ‫ێ‬ငɈၫɈག઺ሄဦᅟૉɉʣʽĜʑ˄ʗĜိ౰3:༃ǔॢਖĪOp/247īĂိ౰
41༃ǏॢਖĪOp/259īɅऻ੪ȱɀȤɤɘȳăĺག઺ሄဦĻ
ߔ౺્შćSjdib!CibuubsbjĪ˂ʙʻ!ʨʗˁɼīሄဦ൨ᄆćMboe!Tvctjefodf!Nbqqjoh!boe!Sjtl!Bttfttnfou!jo!Lbuinboev!Wbmmfz-!Ofqbm-!vtjoh!EJoTBS!boe!
HJT!UfdijrvftāāāāāE.JoTBS ɂ HJT ଴ၭɬᅙȞȹʥʩĜ˃ĂʃʠʶˋʒɅȤȫɥණྉ෺‫ݚ‬ʶʛʬˋʈɂ˂ʑʇ࿎‫ݟ‬ಮāā০ćᆅߔॸ࢞‫ݨ‬ණ࢝౺ჩ५‫ߔݨ‬ಮ০ණ࢝‫ߔݨ‬ʋĜʑߔāā‫ڮ‬ćག઺Īᆅߔīૄຩ࣋ۙćࣷນூྷ
ߔ౺્შćBtjg!BxbmvejoĪɺʏʭ!ɺˇ˃ʟɻˋīሄဦ൨ᄆćEfwfmpqnfou!pg!Xjefcboe!Djsdvmbsmz!Qpmbsj{fe!Boufoobt!gps!Sfnpuf!Tfotjoh!Njdsptbufmmjufāāāāā෰ழळ˂ʺĜʠʓˋʏˋʈ‫ܒ‬౳ᅙঢ়൑‫ܟۊ‬ှ༜ɺˋʞʢɈާཡ
ಮāā০ćᅃਗ‫௶ݨ࢞ॸߔݨ‬ၡ‫ߔݨ‬ಮ০ඪ༑௶ၡʋĜʑߔāā‫ڮ‬ćག઺Ī৙ߔīૄຩ࣋ۙćK/U/ ʑ˂!ʑʶˋʞɻˀ
ĺୌ઺ሄဦĻ
ಫᅝ൥ߔ൥ߔۡᆅߔॸ࢞‫ݨ‬ණ࢝౺ჩ५‫ߔݨ‬ಮ০ණ࢝‫ߔݨ‬ʋĜʑୌᆡ્āშॸ࢞‫ݻ‬൨შ

ߔā‫ڮ‬

ૄຩ࣋ۙ

஧ငāਛ

‫݋‬໢༳۫Ɉਏ౉ູ౯Ɉ࡜েߔโဿ຦ɂȷɈᅟۚɅ࠲ȳɥ‫ސ‬಑ୌ઺Īᆅߔī 樋口篤志࿝๜āఙᄓழळ VBW ɬᅙȞȹެᅰഐႨʢʄʀʜ˃ʦʊɼʠɾɈʩʛʙ߄൥ബ๱ɂᆔ଄ʺʣ
ʗ˂ˋʈୌ઺Īᆅߔī ࣷນூྷয়āުટණழᆔ‫ۊ‬ɅȤȫɥၪଗ౯ʓʏɾʸɈယ࿫ɂ૪࠰Ćऋ࠰ဿ‫ݛ‬ɅȾȞɀୌ઺Īᆅߔī ࣷນூྷ― 120 ―

୷ဩఱ‫ڠ‬ఱ‫֭ڠ‬ဏࣣ‫ૂشݪࡄڠش‬༭‫ࢲ୺ڠش‬౶ෝૂ༭΋ȜΑਘၭ્āშॸ࢞‫ݻ‬൨შ

ߔā‫ڮ‬

ૄຩ࣋ۙ

Ⴢ‫܊‬āࡹୃ!

ˁɼʘĜ྘Ɉപฤɬᄆૄȱȹ਒ʑʲʇʠ˃ယ‫ސ‬༑ˁɼʘĜɈ౿੼ୌ઺Ī৙ߔī ࢏౦৘ცཞ๜āࠌັ!

HPTBU ‫ܒ‬౳Ɉ඗༜ෳ࢒ɍ༂ಘެʨˋʡɈ໩બ‫ݛ‬ඖ೧࡜෈ိࣧ༏๱ʟĜʗɈ྘ߏ‫ސ‬಑ୌ઺Ī৙ߔī ᥓນஶાྲྀ෿āථ་!

HPTBU ‫ܒ‬౳Ɉ༂ಘެʨˋʡʑʲʇʠ˃ɬᅙȞȹණ࿍ჶʩˁʹĜʗຩ୸଴ၭɈ
ॳບୌ઺Ī৙ߔī ᥓນஶાLivevmnvs!
Vzbohb

Mboe! Efgpsnbujpo! Tuvez! vtjoh! Qfstjtufou! Tdbuufsfs! Joufsgfspnfusz;! Dbtf!
ୌ઺Ī৙ߔī ˀʍʭɹʛʠ
Tuvejft!pg!Uplzp!boe!Vmbbocbbubs!djuzಶāᄬാഽှ༜ਗ౰ާ৏˄ĜʘɈʟĜʗ‫ސ‬಑ɂȷɈܾᅙ

ୌ઺Ī৙ߔī ˀʍʭɹʛʠܼ﨑ā১ᄓ

NBY.EPBT ɅɢȽɀࠫപȯɦȹࣻୋɈ໩બ‫ݛ‬ᆘ݉༏๱ဿ຦Ɉᅟۚ‫ސ‬಑ୌ઺Ī৙ߔī ໴৮ల๲๜ෂāࡦ൥ఝᆹʺʟ˃ɬᅙȞȹఝᆹɈཱଗᆎɈైฤɂȷɈܾᅙ

ୌ઺Ī৙ߔī

Ⴈഽ‫ݣ‬ცߝঈয়શᄘ﨑āਂ௎ცɈ߄ઢ౯ȦဘൌɈఋඪߌɅᅇȢɥ‫ࣗ܆‬ୌ઺Ī৙ߔī

Ⴈഽ‫ݣ‬ც
ߝঈয়શĺലࣞሄဦĻ
ಫᅝ൥ߔᆅߔငණ࢝‫ݨߔݨ‬્āშॸ࢞‫ݻ‬൨შ

ߔā‫ڮ‬

ૄຩ࣋ۙ

ੂęᄄāᄭன

Mboetbu ‫ކ‬ജʟĜʗɈ‫ސ‬಑Ʌɢɥຄࢶሕ‫ݗ౉ޠ‬Ɉ૪ऋ࠰ယ࿫ɅȾȞɀߔ઺Īᆅߔī ࣷນூྷಫୣā‫܉‬

ಀʐʻˇୋɅȤȫɥ߿ࡖ੼౉‫ے‬Ɉେᆲైฤ

ߔ઺Īᆅߔī Ⴈࣕಫ୽႘ഺāਞୃɌɘɩɤǔਖɅɢɥ HPTBU ‫ܒ‬౳Ɉ‫཯܀‬ฤ౼๱Ɉॳ௠

ߔ઺Īᆅߔī ᥓນஶાᄘ៛āలષɌɘɩɤǔਖɂʭɿĜʒʡɺ˄ɼ࡜௣˄Ĝʘວ૪ࠫപɅɢɥಓᅸ‫܀‬໘Ɉဘᆅ‫ݿ‬าɈ૪࠰ဿ‫ݛ‬ߔ઺Īᆅߔī 樋৏ຼૂဴರā൥ණࣷ༃Ɉ໲ႨɅȤȫɥൎᆔ५໩બ‫ݛ‬඾೧ʃˁʸ༏๱Ɉʠ˄ˋʡ‫ސ‬಑ߔ઺Īᆅߔī ໴৮ల઺ಫᅝ൥ߔ৙ߔင௶ၡ‫ކ‬ജߔ‫ݨ‬્āშॸ࢞‫ݻ‬൨შ

ߔā‫ڮ‬

ૄຩ࣋ۙ

ᄑሊāᆚ

ණ௫ࠫപʟĜʗɂɌɘɩɤǔਖ‫ކ‬ജɬᅙȞȹ൥࡜ʀɺ˅ʖ˃৉ߔູ౯Ɉ‫ސ‬಑ߔ઺Ī৙ߔī ࢏౦৘ცࢀ๜āᄲఱ!

Ufssb0NPEJT ‫ކ‬ജʟʐʗ˃ඩɅɢɥ൥࡜ʀɺ˅ʖ˃৉ߔโৎȯɈైฤߔ઺Ī৙ߔī ࢏౦৘ც࢔Ⴈāާఱ࡙‫୔ߔޟ‬Ȥɢɍၪଗ๙ൿʋĜʡɅɢɥ‫ކ܀‬ജɈ‫ސ‬಑ߔ઺Ī৙ߔī ࢏౦৘ც‫ڤ‬ඇ‫ݎ‬āୃܳߒഀ੼˅ʴʛʠɅȤȫɥʓʅʽ˂ʞɻɈಊଯ౯Ʌ࠲ȳɥॸ࢞ߔ઺Ī৙ߔī ˀʍʭɹʛʠ

੦ᄘāᄽᆢʶɼʇ˅༜Ɉઢᅸູ౯Ʌ࠲ȳɥॸ࢞ߔ઺Ī৙ߔī ˀʍʭɹʛʠ

௄๜āᆌ‫ܟ‬ှ༜ TBS ɬ઴ᅙȱȹฝᄄɈࠫപ

ߔ઺Ī৙ߔī ˀʍʭɹʛʠ

ཆ෵ā১ാʯˁˋʠʅʻʦʬĜɺʢˁɼʎɬᅙȞȹ MBJ ोപɅȤȫɥไಜɄोപ๘ೊ൰Ʌ
࠲ȳɥॸ࢞ߔ઺Ī৙ߔī

Ⴈഽ‫ݣ‬ცߝঈয়શᆹāಁᄓᆹණɅȤȫɥණ௫˄ĜʎĜʑʅʻʢोപɈৌᆎ‫ݛ‬Ʌ࠲ȳɥॸ࢞ߔ઺Ī৙ߔī

Ⴈഽ‫ݣ‬ცߝঈয়શટ੸āථ་

VBW ຃੪ QBS ʓˋʍɬᅙȞȹ gBQBS ोപ଴ၭɅ࠲ȳɥࡊೣโॳບ

ߔ઺Ī৙ߔī

Ⴈഽ‫ݣ‬ც
ߝঈয়શ― 121 ―

7/4/āိ౰3:༃๱ߔ౺ౘ໘ᄟ
ိ౰41༃ǏॢǍ໲এ੭ലࣞᅅฤଞౘ
Īག઺ߔ‫ڮ‬ଲຶଞ࠸ɚī

੭ಔଞౘ

ਗāो

ག઺‫ݻ‬า
Ī‫ݚ‬ඦɉᆗߔ౺ī

1

4

4

3

33

35

ୌ઺‫ݻ‬า
Ī‫ݚ‬ඦɉᆗߔ౺ī

:

:

29

3

5

7

ߔင౺
Ī‫ݚ‬ඦɉᆗߔ౺ī

25

22+

36

1

+

Ǎ

2

4

4

38

35

ॸ࢞౺Īᆗߔ౺ī+഍āोိ౰3:༃๱ষࡖɢɤɈߔငǏ༃౺‫ݜ‬༯മ࠸ɚă― 122 ―

374

\Ǔ^āଜ‫ߤۋ࣋ޏ‬຦Ćଜ‫ޏ‬ਇॷ
āāā!Ī౺޲࣋‫ۋ‬Ćଜ‫ޏ‬ਇॷĆެင‫ۙڳ‬ɄɃīĪ࢏౦৘ცīĆ ‫ཾێ‬ଜචၭఱ໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬࿎ࡼۙĆ ৊‫ܗ‬ଜචၭఱोപ૵຦౫সߔ‫ʺ˂ޏ‬Ĝʠʓˋʏˋʈင‫ۙڳ܄ۿޏ‬Ć ˄Ĝʎ˄Ĝʘॸ࢞‫ۙڳ܄ۿޏ‬Ćࠎૢ‫ۙڳޏ‬Ć ຾ᆏ਄౱ၭఱ൥ߔ໴૚ʓˋʗĜ૚অࡅ‫ۙڳޏۙڳކ‬Ć ੹࣢ॻᆏ࿤຦݊਒ຑߔ৫ TTI ‫ૄ܄ۿ‬ຩ‫ۙڳ‬
Ć JTST3129‫ۙڳࡼޏ܄ۿ‬Ć JHBSTT312:೨ఉ‫ۙڳޏۙڳ‬ĪࣷນூྷīĆ ༔ഺो‫ޏߔކ‬ā࿎ࡼۙĆ ‫ཾێ‬ଜචၭఱ໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬ā࿎ࡼۙĆ ౉ဦĆ౉૝঍ߔ‫ޏ‬ā൦25ࡖᆅૢĆဋ‫ޏ‬ෳĆ ໲Ⴈ౉ဦ‫ޏߔݨ‬ā࿎ࡼۙĆ ໲Ⴈණᆅߔ‫ޏ‬āൣࡼۙĆ ৊‫ܗ‬ଜචၭఱ໲Ⴈණ࢝ላ౳‫ߔݨ‬ᇦਗāൣࡼۙĪණ࢝ఱ࠰५‫ߔݨ‬ʓʇʏʿˋī!
Ć ৊‫ܗ‬ଜචၭఱ໲Ⴈණ࢝ላ౳‫ߔݨ‬ᇦਗāʍɼʀˋʑʴĜʡĪණ࢝ఱ࠰५‫ߔݨ‬ʓʇʏʿˋīĆ ໲Ⴈߔ୹‫ࡼޏ‬āᇦ़‫!ۙޏ‬Ć ໲Ⴈߔ୹‫ࡼޏ‬āණ࢝ላ౳‫ ۙڳߔݨ‬JVHH ယ‫ ޏݨ‬JBIT ழ‫ޏۙڳ‬ā‫ۙڳ‬Ć ໲Ⴈߔ୹‫ࡼޏ‬āࠞࣃߔ‫ޏۙڳ‬Ćණ࢝ላ౳‫ۙڳߔݨ‬ਗວ JXE ယ‫ ޏݨ‬HMQ ழ‫ޏۙڳ‬ā‫ۙڳ‬Ć ಫᅝॻࠞࣃగࡼ‫ޏ‬āဋ‫ޏ‬ෳĆ ಫᅝॻࠞࣃగࡼ‫ޏ‬ā౉ࠞࣃင‫ޏ‬ā‫ۙڳ‬Ćင‫ޏ‬ෳ!
Ć ಫᅝॻࠞࣃగࡼ‫ޏ‬ā‫ݗ‬ಶင‫ޏ‬ā‫!ۙڳ‬Ć ಫᅝॻۗᘧை౉ஃࠞ०೔‫ࡼޏݛ‬ā‫!ۙڳ‬Ć ಫᅝॻࠞࣃ‫ࣗ܆‬࿎‫ޏۙڳݟ‬ā‫!ۙڳ‬Ć ಫᅝॻණଋࠞࣃൎ઄గࡼ‫ޏ‬ā‫ۙڳ‬Ć ਡ๲௶ၡ౲ྩɅबɥෂࡖโၫయॳບ‫ޏۙڳ‬ā‫ۙڳ‬Ć ိ౰3:༃๱๲ණᆂᇘ෮ੈࡅ‫ކ‬෮౲‫ޏۙڳ‬ā‫ۙڳ‬Ć ৊‫ੰܗ‬චၭఱāɂȠȧɟȠࠞࣃੰචāೊ৽‫ۙڳ‬Īˀʍʭɹʛʠ!ʞʠʁʋ!ʑ˂!ʑʶˋʞɻˀīĆ ʶ˄ĜʏɺĆVojwfstjuj!Uvolv!Bcevm!Sbinboāࢊۙ࣋ୂఱૢగੈۙĆ ʶ˄ĜʏɺĆVojwfstjuj!Qvusb!Nbmbztjbāག઺ሄဦߔငగੈۙĆ ɼˋʡĆJoejbo!Jotujuvuf!pg!Ufdiopmphz!Cpncbzāག઺ሄဦߔငగੈۙĆ ɼˋʡʥʏɺĆɼˋʡʥʏɺ൥ߔ৙ߔင๝࡜৙ߔ‫ݨ‬āBekvodu!Qspgfttps
Ć ɼˋʡʥʏɺĆɾʘʼʢ൥ߔ˂ʺĜʠʓˋʏˋʈ‫ޠ‬ᅖॸ࢞ʓˋʗĜāࢊۙ࣋ୂĆ ɼˋʡʥʏɺĆʨˋʡˋ৙‫ݨ‬൥ߔ˂ʺĜʠʓˋʏˋʈʓˋʗĜāʟĜʗʱĜʑငෳĆ ɼˋʡʥʏɺĆʨˋʡˋ৙‫ݨ‬൥ߔණᆅ৙ߔ‫ʺ˂ݨ‬Ĝʠʓˋʏˋʈॸ࢞ଆāࢊۙ࣋ۙĆૄຩ࣋ࠋĪʶɼʇ˅༜
˂ʺĜʠʓˋʏˋʈĆਗ౰ާ৏˄ĜʘīĆ ɼˋʡʥʏɺĆʨˋʡˋ৙‫ݨ‬൥ߔණଋ৙ߔ‫ݨ‬ණ࢝ဘᆅॸ࢞ଆāࢊۙ࣋ۙĪʶɼʇ˅༜˂ʺĜʠʓˋʏˋʈĆਗ౰ާ৏˄ĜʘīĆ ɼˋʡʥʏɺĆJotujuvu!Uflopmphj!Ufmlpnā৙ߔငୌ઺‫ݻ‬าሄဦߔငగੈۙ
― 123 ―Ć ۧහਂऋॸ࢞ާཡ࡙৭ĪKBYBī൦ǔࡖۧහ৙ߔ‫ۙڳޏۙڳ‬Ć ৊‫ੰܗ‬චၭఱੂນᅣਡ੫யߔੰචᆅૢĆ ๝ા௶ၡฆఒߔ‫ޏ‬ĪJFJDFīۧහĆਂ਄ʀ˄ʇʠ˅ʣʇʑॸ࢞‫!ޏ‬ಮᄑۙ
Ć Kpvsobm!pg!Vonboofe!Tztufn!Ufdiopmphz-!Uif!Joufsobujpobm!Tpdjfuz!pg!Joufmmjhfou!Vonboofe!Tztufn-!
Fejupsjbm!Cpbse!Nfncfs
Īી‫ۈ‬ሆలīĆ KbqboGmvy ဋ‫ۙڳ‬ෳĪġ3128༃23ॢīĂ‫ۙڳ‬ෳĪ3129༃ǍॢġīĆ BtjbGmvy ‫ޏۙڳ܄ۿ‬Ć Dppsejobujoh!Mfbe!Bvuips-!Dibqufs!3!pg!Hmpcbm!Bttfttnfou-!JQCFT!ĪUif!Joufshpwfsonfoubm!Tdjfodf.
Qpmjdz!Qmbugpsn!po!Cjpejwfstjuz!boe!Fdptztufn!Tfswjdft<!౺ဘഽᅕ౯࢒ɍ౺ൔृʍĜʫʑɅ࠲ȳɥ౱࿬࠰ʯˁʛʠʭʁĜʸīĆ ਡᆏॸ࢞ާཡၭఱਡᆏࠞࣃॸ࢞ஒāණ࢝ࠞࣃॸ࢞ʓˋʗĜāᇦ़ॸ࢞ʈ˃ĜʯෳĆ ຄࢶ৙ࣞ൥ߔāࠞࣃĆଜ‫ޏ‬ᆅ৙ߔۡāູჩ࣋ୂĆ ຄࢶ൥ߔā౺દࡳ୹ॸ࢞ஒāඹ໘ொॸ࢞ଆāॸ࢞ۙĪႨഽ‫ݣ‬ცī
Ć HPTBU0UBOTP!SB ೊฤĆ࿎‫ۙڳޏۙڳݟ‬Ć ۧහਂऋ‫ై୹ࡳߔݨ‬మ‫گ‬൵ྣగੈ࿎‫ޏݟ‬ಮᄑˇĜʅˋʈʈ˃Ĝʯ‫ۙڳ‬Ć ໲Ⴈߔ୹‫ࡼޏ‬ණ࢝ላ౳‫ޏۙڳߔݨ‬ණ࢝Ćላ౳५ယ‫ޏݨ‬ණ࢝ࠫപɈளᅰ৭೻Ʌ࠲ȳɥॳບழ‫ۙڳޏۙڳ‬ĆĶಇો‫ܒ‬౳ʟĜʗᆀᅙࡳ୹਷ඨ‫ޏ‬ķ‫ۙڳ‬ĆĶಇો‫ܒ‬౳ʟĜʗᆀᅙࡳ୹਷ඨ‫ޏ‬ķɌɘɩɤʟĜʗᆀߤᅙɈȹɛɈ੼ࣞʈ˃Ĝʯ‫ۙڳ‬Ć ණ࢝ࠞࣃဿ຦ࠫപʷʛʏʿˋĪHDPNī഍ਗ‫ۙڳޏۙڳ‬Ć ණ࢝ࠞࣃဿ຦ࠫപʷʛʏʿˋĪHDPNīTHMJ ᆀᅙˇĜʅˋʈʈ˃Ĝʯ‫ۙڳޏۙڳ‬āĆ ိ౰3:༃๱ NPMJ ॳບ‫ۙڳޏۙڳ‬āĆ ණ࢝ࠞࣃဿ຦ࠫപʷʛʏʿˋĪHDPNī൦ǒ‫࢞ॸޑ‬৊ၕ࿎‫ۙڳޏۙڳݟ‬Ć ိ౰3:༃๱൦‫ۧێ‬හࡳ୹ငᄑ໘င࿎‫ޏۙڳݟ‬࿎‫ۙڳݟ‬Ć 3128༃๱ຄ‫ޠ‬൥ߔ௶ၡࡳ୹ʓˋʗĜॸ࢞ۙĆ ˄ĜʎĜʑʅʻʢɬ຃੪ȱȹ VBW ɬᅙȞȹ৊ࢼപᆲɅ࠲ȳɥ෮ੈॳບ‫ۙڳޏۙڳ‬Ī樋৏ຼૂīĆ ౉ဦĆ౉૝঍ߔ‫ޏ‬āᆅૢĂ഍ო‫ۙڳ‬Ă୸ཹ၂ୠ‫ۙڳ‬Ī࠲ຄ৳ఒ‫ܛ‬ʈ˃Ĝʯ˂ĜʘīĆ ໲Ⴈ౉ဦ‫ޏߔݨ‬ā၂ୠ‫ۙڳ‬Ć ໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬āࡅ‫ۙڳކ‬ĪUG ൎܾʙĜʸဋʙĜʸෳīĂߔ‫ޏ‬Ɉၫ৐౯ɬ৽ȢɥʗʑʇʭʁĜʑ‫ۙڳ‬Ć ໲Ⴈණ࢝ላ౳‫ߔݨ‬ᇦਗā3129༃൥‫ޏ‬ʯ˅ʈˁʸ‫ۙڳ‬ෳĂʍɼʀˋʑʴĜʡĪ൥࡜౉५‫ߔݨ‬ʓʇʏʿˋīĆ ໲Ⴈߔ୹‫ࡼޏ‬āࠞࣃߔ‫ޏۙڳ‬Ćණ࢝ላ౳‫ޏۙڳߔݨ‬ਗວ!JHCQĆXDSQ ਗວယ‫ ޏݨ‬NBIBTSJ ழ‫ޏۙڳ‬ā‫ۙڳ‬Ć ຾ᆏ਄౱ၭఱ໲Ⴈߔ୹చ࣓‫ޏ‬ā‫ޏۙڳྣ࢞ॸߔݨ‬ಮᄑ‫ۙڳ‬Ć ࡜௣ෝĶಇો࡜௣ʟĜʗᆀᅙࡳ୹਷ඨ‫ޏ‬ķɌɘɩɤʟĜʗᆀߤᅙɈȹɛɈ੼ࣞʈ˃Ĝʯ‫ۙڳ‬Ć ਡᆏॸ࢞ާཡၭఱāۧහਂऋॸ࢞ާཡ࡙৭! QNN!Īਏ౉ࠫപʷʛʏʿˋīᆀᅙॳບ‫ޏۙڳ‬āষॅʷʛʏʿˋॳບယ‫ۙڳ!ޏݨ‬Ć ਡᆏॸ࢞ާཡၭఱāۧහਂऋॸ࢞ާཡ࡙৭!HDPN!THMJ!ᆀᅙˇĜʅˋʈʈ˃Ĝʯ‫ۙڳ‬āĆ ਡᆏ൥ߔၭఱāშগ‫ݎ‬൥ߔāۧහණ࢝ࠞࣃॸ࢞ஒāࢼວᆀᅙĆࢼວॸ࢞‫ۙڳޏۙڳ‬ā൥࡜ᆌ‫ޠۊ‬ᅖಮᄑ‫ۙڳ‬‫ۙڳޏ‬ෳĆ ਡᆏॸ࢞ާཡၭఱā௶ၡฆఒॸ࡙࢞৭ĪOJDUī!ࢾᆵॸ࢞ۙ
― 124 ―Ć ਡᆏ൥ߔၭఱāය༜൥ߔāྥ௵ࣦਆુĪ౺ჩࠞࣃ‫ݨ࢞ॸߔݨ‬ā൥ߔۡਆࡹĶ౉ဦ‫ູߔݨ‬်ਆࡹ!ⅠķɈඐຎīĪႨࣕಫ୽īĆ ဦင‫ߔݨ‬ௐā‫୹ࡳߔݨ‬Ćߔ୹గࡼ‫ޏ‬ಮᄑ‫ۙڳ‬Ć ‫ێ‬ଜī໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬Ćߔ୹‫ۙڳ‬Ī໴৮ల઺īĆ ຕਗโ࡜েʺʟ˃਒๱‫࢞ॸݛ‬ʯ˅ʈˁʸ! ඖ೧ஃࠞĆ࡜েࠐ๱ĆʞɻʛʬˋʈĆʀ˄ʹˋʠຑɈ‫ސ‬ც! ‫ڳ܄ۿ‬ۙ‫ۙڳޏ‬Ć ൦Ǐࡖਂऋ࡙Ʌɢɥණ࢝ࠞࣃࠫപైమ‫ۙڳޏۙڳ‬Ć KqHV.BHV!Kpjou!Nffujoh!൥࡜‫ߔݛ‬ʓʛʏʿˋ!ൣ࿍ʋˋʫĜʢĜĆ ൦21ࡖ!໲Ⴈ൥࡜‫ۙڳޏۙڳ܄ۿޏߔݛ‬Ć FbsuiDBSF ‫ۙڳޏۙڳ‬Ć ൦Ǖࡖ!໲Ⴈ൥࡜‫ۙڳޏۙڳ܄ۿޏߔݛ‬Ć ࡜েဿ຦ࠫപ‫ܒ‬౳ HDPN.D ʷʛʏʿˋĆ൥࡜ॳ௠˂ĜʘĜĆ ‫ݗ‬ଆৌ‫ݪ‬ʄʑࠫപࡳ୹‫ܒ‬౳ĪȞɐȧīHPTBU0UBOTP!SB ೊฤĆ࿎‫ۙڳޏۙڳݟ‬ĆĶಇો‫ܒ‬౳ʟĜʗᆀᅙࡳ୹਷ඨ‫ޏ‬ķɌɘɩɤʟĜʗᆀߤᅙɈȹɛɈ੼ࣞʈ˃Ĝʯ‫ۙڳ‬Ć Joufsobujpobm!TLZOFU!Dpnnjuuff
Ć ໲Ⴈߔ୹‫ !ޏۙڳߔࣃࠞ !ࡼޏ‬ණ࢝ላ౳‫ޏۙڳߔݨ‬ਗວ JHCQĆXDSQĆEJWFSTJUBT ਗວယ‫ ޏݨ‬JHBD ழ‫ۙڳ‬‫ۙڳޏ‬ĪᥓນஶાīĆ ໲Ⴈߔ୹‫ޏۙڳߔࣃࠞࡼޏ‬Ćණ࢝ላ౳‫ޏۙڳߔݨ‬ਗວ JHCQĆXDSQĆEJWFSTJUBT ਗວယ‫ ޏݨ‬JHBD ழ‫ۙڳ‬‫ޏ‬൦34ࡖ‫ۙڳ‬Ć ಫᅝॻࠞࣃ‫ࣗ܆‬࿎‫ۙڳޏۙڳݟ‬Ī൥࡜ယᄘīĆ ࠞࣃௐණ࢝ࠞࣃࣟĆ຾ᆏ਄౱ၭఱۧහਂऋॸ࢞ާཡ࡙৭Ć຾ᆏ਄౱ၭఱਡᆏࠞࣃॸ࢞ஒā‫ݗ‬ଆৌ‫ݪ‬ʄʑࠫപࡳ୹‫ܒ‬౳ǎळʍɼʀˋʑʙĜʸ‫ޏۙڳ‬ā‫ۙڳ‬Ć ࠞࣃௐණ࢝ࠞࣃࣟĆ຾ᆏ਄౱ၭఱۧහਂऋॸ࢞ާཡ࡙৭Ć຾ᆏ਄౱ၭఱਡᆏࠞࣃॸ࢞ஒā‫ݗ‬ଆৌ‫ݪ‬ʄʑࠫപࡳ୹‫ܒ‬౳ǎळʍɼʀˋʑʙĜʸ‫ޏۙڳ‬āॳ௠ˇĜʅˋʈʈ˃Ĝʯ˂ĜʘĜĆ ࡜௣ෝ࡜௣ॸ࢞ஒāࢊۙॸ࢞ۙĆ ഍ოௐĶǐ૫ইʍɼʨĜʏʞɻɈߤᅙɅ৐ȫȹʗʑʇʭʁĜʑķā‫ۙڳ‬Ć ໲Ⴈ൥࡜‫ޏߔݛ‬ā൥࡜ࠞࣃ‫ܒ‬౳ॳບ‫ޏۙڳ‬ā‫ۙڳ‬Ć ۧහȥɣɈ൥࡜ܸಹဘଋࠫപ BQPMMP ʷʛʏʿˋĆUJS ˂ĜʘĜĪߝঈয়શī
Ć 3128༃๱ຄ‫ޠ‬൥ߔ௶ၡࡳ୹ʓˋʗĜॸ࢞ۙĆ ိ౰3:༃๱ NPMJ ॳບ‫ۙڳޏۙڳ‬― 125 ―

\ǔ^āʓˋʗĜɈ਄ૢ
9/2/āʓˋʗĜ଱੓Ɉʏˋʵʐɾʸ
9/2/2/ā൦36‫ ޑ‬DFSfT ਡ੫ʏˋʵʐɾʸိ౰3:༃Ǒॢ37໲ĂႨߔ௄ۤ‫࠵ޏ‬Ʌɀ൦ǎ‫ ޑ‬Joufsobujpobm!Xpsltipq!po!Wfhfubujpo!Mjebs!boe!Bqqmjdbujpo!
gspn! Tqbdf Ȧۧහਂऋॸ࢞ާཡ࡙৭ĪKBYBī଱੓ĂDFSfT ࢼ੓ĪĶDFSfT ਡ੫ʏˋʵʐɾʸĨNPMJ ਡ੫ˇĜʇʏʿʛʯĩķɂȱɀާ੓īɅɢɤ੓ȯɦɘȱȹă઀༃Ī3127༃īǍॢɅࢶ๬൥ߔɅɀާ੓ȯɦȹ൦Ǎ‫ޑ‬ɅۜȧറȧĂਡ੫ۧහʑʞĜʏʿˋĪJTTīɅ ຃ ੪ ᅅ ฤ Ɉ KBYB Ɉ ఆ ౺ ˁ ɼ ʘ ĜNPMJ!ĪNvmuj.
gppuqsjou! Pctfswbujpo! Mjebs! boe! Jnbhfsī Ʌ ࠲ ȳɥሇ൨ȦෂఘɂɄɤɘȱȹăȭɈˇĜʇʏʿʛʯ
ɒɉ஽൒ਆ‫ܩ‬ଞɬ࠸ɛ56შɈઞ‫ݡ‬ଞȦȜɤĂNPMJ
ʟĜʗȦɜȹɣȳୃࠁ਒Ćʨɼʂʶʑ௶ၡɒɈࡖ൒
ɅȾȞɀĂᅕęɄယᄘɈॸ࢞ଞȥɣཡ࿍ȦȜɤɘȱȹăȭɈᅕાɉĂDFSfT ʣʽĜʑ˄ʗĜ3128༃ǑॢਖĪOp/249īɁɜ௘‫ގ‬ȱɀȞɘȳă
9/2/3/ā൦37‫ ޑ‬DFSfT ਡ੫ʏˋʵʐɾʸ൦Ǒ‫ޑ‬ழळ‫ܒ‬౳ʏˋʵʐɾʸĪTPNJSFT!3128ī
൦ǎ‫ޑ‬ಪ඘โʶɼʇ˅༜˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸĪಱᆒโ୭๘ॸ࢞ࣅ‫ݛ‬ʯ˅ʈˁʸīိ ౰3:༃22ॢ35໲ Ʌ ɼ ˋ ʡ ʥ ʏ ɺĆ ʐ ʻ ʃ ˃ ʗ Ʌ ɀĂ ൦ ǐ ‫ ޑ‬ɼ ˋ ʡ ʥ ʏ ɺ ණ ࢝ ࠫ പ ‫ ܒ‬౳ ʯ ˅ ʈ ˁ ʸĪJOBSTTBUīʭʁĜʃʑʈ˃ĜʯʟɻʑʃʛʏʿˋĪGHEīɂࢼ੓ȱɀĂ൦37‫ ޑ‬DFSfT ਡ੫ʏˋʵʐɾʸĪUif!37ui!DFSfT!Joufsobujpobm!TznqptjvnīĂ൦Ǒ‫ʺ˂ޑ‬Ĝʠʓˋʏˋʈᅙழळ‫ܒ‬౳ʏˋʵʐɾʸĪUif!6ui!
Tjnqptjvn! po! Njdsptbufmmjuf! gps! Sfnpuf! Tfotjoh!ĪTPNJSFT!3128īīĂ൦ǎ‫ޑ‬ಪ඘ʶɼʇ˅༜˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸĪUif!3oe!Tznqptjvn!po!Joopwbujwf!Njdspxbwf!Sfnpuf!Tfotjohīɬާ੓ȱɘȱȹăȭɈʏˋʵʐɾʸɁɉಫᅝ൥ߔɂɼˋʡʥʏɺۧහਂऋࣟĪMBQBOīɂɁࢼວާཡȯɦɀȞɥ211lh ࢡਗ౰ާ৏
˄Ĝʘ຃੪ழळ‫ܒ‬౳ĪMbqboDijcb.TbuīɈ TBS ʓˋʍɈॸ࢞ާཡɈమ෷ၡਠɬཡ࿍ȱɘȱȹăɘȹĂMBQBO
തɉɼˋʡʥʏɺɈழळ‫ܒ‬౳Ɉਡ੫ࢼວॸ࢞Ɉ˅Ĝʡʶʛʯɂழळ‫ܒ‬౳ TBS ᅙɈʨʑʏʑʞʸɈॸ࢞ާཡɈమ
෷ၡਠɬȱɘȱȹăȭɈʏˋʵʐɾʸɅɉĂ࠴ਡɈ LBJTU ɞɼˋʡʥʏɺɈ࠲बॸ࢞ଞ഍౬31შȦʟɻʑʃʛ
ʏʿˋɅ‫ݡ‬ɩɤĂளᅰɈழळ‫ܒ‬౳ɈܾᅙɄɃߤཡɅ‫ࠓৄॽڷ‬ȯɦɘȱȹă௢੧ɉĂDFSfT ʣʽĜʑ˄ʗĜ3129
༃ǍॢਖĪOp/257īɁ௘‫ގ‬ȱɀȞɘȳăާ‫ૺޏ‬ā‫݊ڤ‬ʓˋʗĜෳɈʑʬĜʙ߂࡙࠲Ɉൣ࿍ଞɂࡥ༄ଖణ

― 126 ―

9/2/4/ā൦31‫ ޑ‬DFSfT ࠞࣃ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸĪʂĜʄʢɼʎĜćDFSfT!ࢼວᆀᅙॸ࢞ైమ‫ޏۙڳ‬ī
ိ౰41༃ǎॢ26໲ಫᅝ൥ߔȫɞȧ‫࠵ޏ‬ɅȤȞɀĂ൦31‫ ޑ‬DFSfT ࠞࣃ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸɬާ੓ȱɘȱȹăȭɈʏˋʵʐɾʸɉĂࢼວᆀᅙॸ࢞ཡ࿍‫ޏ‬Ɉ‫ڮ‬඲࿥ȫɁႴ༃ଌૈȱɀȤɤĂʓˋʗĜȦైమȱɀȞɥಪ඘โ˂ʺĜʠʓˋʏˋʈʯ˅ʈˁʸĂණ࢝࿍೸௶ၡຕਗʯ˅ʈˁʸĂ‫ܒ‬౳ᆀᅙ਒๱‫ݛ‬ʯ˅ʈˁʸɅ࠲ᇦȱȹॸ࢞ཡ࿍Ī৏ຢ23ॣĂʵʑʗĜ36ॣīȦ਄ɩɦĂ76შɈઞ‫ݡ‬ଞɣȦ༂ఘɅࡼሄɬৄɩȱɘȱȹăȭɈᅕાɉĂ
DFSfT ʣʽĜʑ˄ʗĜ3129༃ǎॢਖĪOp/258īɁɜ௘‫ގ‬ȱɀȞɘȳăɘȹĂຎ໲Ɉཡ࿍൨ᄆȤɢɍʑˁɼʡ
ୠɬĶ൦31‫ ޑ‬DFSfT! ࠞࣃ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸ૝ᆧୠ +ķɂȱɀཡ਄ȱɀȞɘȳăʟʐʗ˃ཹɉ‫ݚ‬ࡥʍɼʠɢɤȮઞ௎ȩȺȯȞăĪ+ ૝ᆧୠćiuuq;00xxx/ds/dijcb.v/kq0Epdvnfout0tznqptjvnt0tznq31280STqsphsbn31.I3:/qegī

9/3/āġġਡ੫ʯ˅ʈˁʸĨGvuvsf!FbsuiĩɒɈଲɤ೨ə!

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Ī൦ǎ‫ޑ‬ಫᅝ൥ߔʭʽĜʙʻĜĆɺĜʑʏˋʵʐɾʸާ੓Ȥɢɍ਱༃๱Ɉଲɤ೨əī
DFSfT ɅȤȫɥਡ੫ʯ˅ʈˁʸʭʽĜʙʻĜĆɺĜʑĪGvuvsf! FbsuiīɒɈଲɤ೨əɜǎ༃ᄆɅɄɤĂߔ౺ɒɈ໻ඪ๱ɬ਒ɛɥȹɛĂ਱༃๱೐཰ɉǏ‫ޑ‬ɅɩȹɤʓˋʗĜෳɂߔ౺ɂɈʭʽĜʙʻĜĆɺĜʑɅ࠲ȳɥ‫ॽڷ‬ৄࠓ‫ޏ‬ɬ਄ȞɘȱȹĪDFSfT!ʣʽĜʑ˄ʗĜǐॢਖ Op/248ĂǓॢਖ Op/251ઞ௎īăš൦‫ޑێ‬ćǐॢާ੓
DFSfT Ɉ߂ॸ࢞ଆɈߔ౺ǍშȦ߂૵Ɉॸ࢞ɂĂȷɈෂɅॽ୸ȵɥʭʽĜʙʻĜĆɺĜʑโᅟ೧ɅȾȞɀɬཡ࿍ȱĂॸ࢞ɈႨଋโɄ‫ڷ‬ჍɞĂ಺੭โɄࠞࣃᄎ൨ɒɈਇॷɅȾȞɀଌࠐȳɥȭɂɁĂʑʞʛʯɺʛʯɅȾɄȬɥăš൦໩‫ޑ‬ćǒॢާ੓ʭʽĜʙʻĜĆɺĜʑਡ੫ૢოࣟ໲ႨʧʮɈჽᆀܑ་્ĂෳඇರႯા્
ɅɢɥĂਡ੫ૢოࣟɈᄜߠɞૢოࣟɈइൌโɄߤ຦ȤɢɍʭʽĜʙʻĜĆɺĜʑɅȤȫɥ໲ႨɈਇॷɄɃɅȾȞɀɈਆሇăš൦જ‫ޑ‬ćǓॢާ੓ʓˋʗĜෳɂી‫ୂ࣋ۈ‬ɢɤĂʭʽĜʙʻĜĆɺĜʑɈ‫ݻ‬൨Ɉଌ೉Ɉȹɛ
ɅɃɈɢȠɅ˅Ĝʃ˃Ʉॸ࢞ɬʈ˅Ĝʨ˃ɅȾɄȬɥȥɂȞȠȭɂɬ൨੮Ʌȱȹ˄ʇʙʻĜăɘȹĂ௫ࡥɈɢȠɄߔ౺ɬৄȢȹଲɤ೨əɬॄɀĂိ౰41༃ǎॢ26໲ɅĂಫᅝ൥ߔʭʽĜʙʻĜĆɺĜʑʏˋʵʐɾʸɬȫɞȧ‫࠵ޏ‬ɅȤȞɀާ੓ȱɘȱȹĪDFSfT!ʣʽĜʑ˄ʗĜǎॢਖĂOp/258ઞ௎īă਱‫ޑ‬ɈʏˋʵʐɾʸɉĂ঳೐ෂɈߔ౺ʭʁĜˁʸĂʵʑʗĜʓʛʏʿˋĂȷȱɀ঳ষɈࡊ෮ਆ‫ܩ‬Ȥɢɍʩʥ˃ບሄɈǐʓʛʏʿˋɁ৭౰ȱɘȱȹăߔ౺ʭʁĜˁʸɁɉǕშɈઞ‫ݡ‬ଞɬĂɘȹĂʵʑʗĜʓʛʏʿˋɉ41ॣɈ
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డਮȦȜɤĂȭɈɢȠɅ჎ᅰɈଜ‫ޏ‬ɬඐȠ൥ߔ౺ɬಓ࣡โɅଲɤਮɭȺȭɂɉĂ೔ਡɁ๐ާȯɦɀȞɥʭʽĜʙʻĜĆɺĜʑʯ˅ʈˁʸɈෂɁɜ෻ȱȩĂಫᅝ൥ߔ຾૵Ɉʯ˅ʈˁʸɂȞȢɘȳă঳ষɈࡊ෮ਆ‫ܩ‬ɁɉĂߔ୹‫ޢ‬Ȥɢɍદࣞ‫ޢ‬ȥɣਡ੫โɄʭʽĜʙʻĜĆɺĜʑᇦ़ߤ຦ɒɈइൌโɄଲɤ
೨əɅȾȞɀȤሇɬȞȹȺȧɘȱȹăɘȹĂʩʥ˃ʓʛʏʿˋɁɉĂࡊ෮ਆ‫ܩ‬ଞɅ‫ݡ‬ȢɀެငȥɣɈʩʥ˂ʑʠɜȮઞ‫ݡ‬ȞȹȺȧĂಫᅝ൥ߔʭʽĜʙʻĜĆɺĜʑʗʑʇʭʁĜʑଭ଴Ɉ‫ˋʹޏ‬ʨĜĪಫᅝ൥ߔ࣋
ۙīȦෂఘɂɄȽɀບሄɬ๐ާȱĂʭ˅ɺɈ෪୘Ɉ
ၫęȥɣɈȮ‫ॽڷ‬ɄɃߤཡɄࡼሄȦɄȯɦɘȱȹăā਱ষɜ਄౱ɞࡅࣞɄɃᅕęɄʓʇʗĜȦᇦ़ȱɀమɛɀɠȩȭɂȦྼᅟɂ৽ȢĂଲɤ೨ɭɁઞɤɘȳăߔ౺ʓʛʏʿˋɈᅕા

ʵʑʗĜʓʛʏʿˋ

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\Ǖ^ā଱ᅟॸ࢞ಡྩ
:/2/ā‫ܒ‬౳ʟĜʗିఒʏʑʞʸĪඐຎć樋৏ຼૂī
DFSfT!ɁିఒĆஐᆅȳɥ‫ܒ‬౳ĆʓˋʍɉĂɺˋʞʢɅɢɥ෸ಞିఒɉ!OPBB0BWISSĂෂਡɈಇો࡜௣‫ܒ‬౳!
GZ.3ĂˁˋʡˁɼˋଲຶĪɼˋʗĜʥʛʠଲຶīɁɉ໲ႨɈಇો࡜௣‫ܒ‬౳ NUTBU ʏ˂ĜʒĪɌɘɩɤǔਖಜɤൖȢষɜ NUTBU ঱ࠓʟĜʗɬଲຶĆஐᆅīĂɌɘɩɤǔਖĂɺʹ˂ʃಇો࡜௣‫ܒ‬౳ HPFT.FĂ.X ʏ˂ĜʒĂɄɣɍɅ Ufssb Ȥɢɍ Brvb ຃੪Ɉ NPEJT ຑɁȜɥăDFSfT ೯ಡ஑ࡖɢɤॅറโɅଌૈȯɦȹ OPBB0BWISSʟĜʗିఒɉĂɺˋʞʢʺĜʗĜɈॄ༃ᇚ‫ݛ‬Ʌɢɥିఒ‫ކ‬ജɈᇚ‫ݛ‬ĂିఒʏĜˋౘɈ൥ဍঌĂBWISS ɈଌଋโɄ୒᠅ĂɌɘɩɤǔਖɈ๨௲ɅɢɤĂ! 3128༃ǏॢɅക඲‫ૺێ‬Ɉ้ࢦ৙ૢɬ਄ȞĂିఒૢࣞɉ୒ᆡȱɀȞɥă
3129༃ǐॢএ੭ĂɺˋʞʢିఒȱɀȞɥ‫ܒ‬౳ɉ GZ.3ʏ˂ĜʒɈəɁȜɥă‫ିࢦݿ‬ఒĂɼˋʗĜʥʛʠଲຶʟĜʗɅ࠲ȱɀɉȭɦɘɁɂວᅕɅ৊ާȱɀȞɥăĆOPBB0BWISS ʏ˂Ĝʒ! Ī2::8༃ǐॢ26໲ିఒާ઻Ă3128༃Ǐॢ24໲ିఒക඲้ࢦīĆNUTBU ʏ˂Ĝʒ!

Ī3116༃ǒॢɢɤɺĜʃɼʮާ઻īĆɌɘɩɤǔਖ!

Ī3126༃Ǔॢɢɤ౷ૺ‫ۿ‬ᅙާ઻Ă‫ڬ‬೐ɈʞʑʠʟĜʗɜେሃȱɀȞɥȦĂᆀᅙɉ!
ঔɣɦɥīĆGZĪC0D0E0Fīʏ˂Ĝʒ! Ī2::9༃ǐॢɢɤ
!
GZ3.C ౘˎॢିఒĂ3118༃๱Ʌ GZ3.D ȥɣିఒĂ৊ާާ઻īĆHPFT.FĂ.X ʏ˂Ĝʒ!

Ī2::9༃ယɢɤɺĜʃɼʮȜɤīĆNPEJT!!!

Ī3115༃ǔॢɢɤ!
KBYB ିఒယɺĜʃɼʮާ઻Ă೔࢝࠲ᇦʯ˅ʘʇʠɉ Ufssb0
Brvb ާ઻૪ɢɤɺĜʃɼʮᄵɤī:/3/ā๝༜ჟࣗଆĪඐຎćK/U/ ʑ˂!ʑʶˋʞɻˀī
ိ౰31༃ǎॢ26໲Ʌࠞࣃ˂ʺĜʠʓˋʏˋʈॸ࢞ʓˋ
ʗĜʶɼʇ˅༜˂ʺĜʠʓˋʏˋʈॸ࢞ଆĪˀʍʭɹʛʠ
ॸ࢞ଆīɅࠊ౰ȱȹಡྩɉୈ༜ౘǍHI{ ȥɣ51HI{ ɘɁ઴ᅙ‫ݢ‬༑ɁĂਗ౰ާ৏˄ĜʘĪTBSīɬɉȲɛĂʶɼʇ˅༜
Ɉ๝༜๙ུɂઢᅸɈଌঅɄɃɅܾᅙȱɀȞɥăȭɈಡྩɈ
౥ၭɉဍ5/1n Ŀෳ7/7n Ŀ਒3/5n ɁĂɘȹ࢓େູ౯ɉ46!
eC ‫ڬ‬௫ɁȜɥăʶɼʇ˅༜˂ʺĜʠʓˋʏˋʈɅȤȫɥᅕęɄଌঅɬૅ
‫ܧ‬ȳɥȹɛɅĂʥʛʠˇĜʇɺʢˁɼʎĂʶɼʇ˅༜‫ޑ‬ᇭĆࡊྲྀ‫ݡ‬৙ക඲Ă਒౼๱‫ޑ‬๖൤ɄɃɜ౲ྩȱĂਗ౰ާ৏˄Ĝ

ూ:/3/ā๝༜ჟࣗଆ໘Ɉᅕા

ʘɈާཡɅྼᅟ࿤‫ݢ‬ज़Ʉʶɼʇ˅༜‫ޑ‬ᇭɂɺˋʞʢɬާཡ
ȳɥȹɛɅĂʺĜʹˋʠၭĪNpNī
Ăᄵঔᅟ೧ၭĪGFNīɄɃɬ઴ᅙȱȹ਒ୈ༜‫ޑ‬ᇭĆɺˋʞʢಡोᅙɈʕʭʠ
ɾɿɺɜ౲ྩȱɀȞɥăȭɦɣɈಡྩɉএ੭ྦ਄࡙Īჟఱྦ਄࡙ VBW ɬ࠸ɚīɂʶɼʇ˅‫ܒ‬౳຃੪ᅙɈਗ౰ާ৏˄ĜʘɈާཡɅ઴ᅙ
ȱɀȤɤĂɘȹĂຎʓˋʗĜɈ೔ਡࢼວᆀᅙࢼວॸ࢞ૈಡɁɜഽȞɅߤᅙȱĂ೔ਡɈॸ࢞ଞɂࢼວȱɀĂழळ‫ܒ‬౳ɬɉȲɛĂਗ౰ާ৏˄ĜʘĂʶɼʇ˅༜ၪଗोĆઢᅸोĂັᇭ๸य़ࠠ૗ʓˋʍɄɃɁȜɥʶɼʇ˅༜ɅȤȫɥᅕęɄʓˋʍɈާཡɅ઴ᅙȱɀȞɥă

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:/4/ā൥࡜ʟĜʗଲຶˁɼʘĜക඲Ī଱ඐຎć࢏౦৘ცīˁɼʘĜĪmjebsīɉĂ൥࡜ෂɅʩ˃ʑ˄ĜʎĜ৉ɬ௎ଗȱĂ൥࡜ෂɈઢᅸൌɁȜɥʀɺ˅ʖ˃ɞ‫܀‬ȥɣɈઢᅸ৉ɬႊܳࣖɁି৉ȱɀઢᅸൌɈ৉ߔູ౯ɞऋ࠰ယ࿫ɬोപȳɥക඲ɁȜɤĂ൥࡜ɬൎ௣ɂȳɥ˂ʺĜʠʓˋʏˋ
ʈɅȤȞɀࡊႨโɄोപക඲ɂɄȽɀȞɥăDFSfT ɁɉĂ൥࡜ࠞࣃယᄘɞ࡜௣ယᄘɄɃ࠲ᇦȳɥȯɘȰɘɄࢼວᆀᅙॸ࢞ଞɈᅟႊɅܾȢɣɦɥɢȠĂ੕ಪ඘ɈोപȦ‫ݢ‬༑ɁĂȥȾܾᅙཱྀ‫ڱ‬Ɉঢ়ȞˁɼʘĜȤɢɍȷɈ৫౷ᅙʏʑʞʸɬိ౰33༃๱ɅઌఛȱȹăȭɦɅɢɤĂDFSfT ɈǏȾɈෂ߇โɄॸ࢞ʯ˅ʈˁʸɈȠȻɈ‫ێ‬ȾɁȜɥĶಪ඘โ˂ʺĜʠʓˋʏˋʈʯ˅ʈˁʸķɅȤȞɀĂࢼວᆀᅙĆࢼວॸ࢞Ɉ਒๱‫ݛ‬Ȧɢɤ‫ݢ‬༑ɅɄȽȹă൥࡜ʟĜʗଲຶˁɼʘĜക඲ĪBunptqifsjd! Ebub! Dpmmfdujpo! Mjebs-! BEDMīɈക඲৭౰ɉĂઢᅸൌɈव௻ယ
࿫Ȧोപ‫ݢ‬༑Ʉഽ༜ෳोപക඲ɂĂჶโĆᆏൌโɄोപȦ‫ݢ‬༑Ʉ QQJ!
ĪQQJ ɉ Qmbo!Qptjujpo!Joejdbups ɈᆒīʺĜʡोപക඲ȦෂఘɂɄȽɀȞɥĪూ:/4/ ઞ௎īă‫ུݢ‬౯ɜ৽ᆞȱȹഽ༜ෳ৭౰ɈʋˋʵĜʥˋʠ‫ݛ‬ɬూɤĂ˄ĜʎĜക඲ɂႊܳࣖȦ‫ێ‬ൌĪʺʦʑʗʞɻʛʇīȤɢɍᆋɦȹĪʨɼʑʗʞɻʛʇī༯඲ɄɃĂഽᅕɄʣĜʒɅൎܾ‫ݢ‬༑Ʉʏʑʞʸ৭౰ɬੜᅙȱɀȞɥăວ૪ɅĂഽ༜ෳʥʭɿ˅ʹĜʗɄɃණ௫Ɉૅ‫ܧ‬പࡉɅɢɥණ௫ोപʟĜʗɈେୠɬ਄ȽɀĂฤᆲโȥȾఒᅲ౯Ɉ਒ȞˁɼʘĜఒਖ‫ސ‬಑ɬଌএȳɥȭɂȦ‫ݢ‬༑ɄʏʑʞʸɂɄȽɀȞɥă

ూ:/4/ā൥࡜ʟĜʗଲຶˁɼʘĜക඲ĪBEDMīBEDM Ɉණ௫പࡉငʟĜʗɉĂ‫ࡥݚ‬Ɉ VSM ȥɣઞ௎‫ݢ‬༑ɁȜɥăĪʟĜʗɬߔ‫ޏ‬ཡ࿍ɞሄဦɄɃɅ઴ᅙȯɦɥ௲ਗĂ࢏౦ॸ࢞ଆȜɀȮᇦᅵȩȺȯȞăī
iuuq;00xxx/ds/dijcb.v/kq0lv{f.mbc0npojups0npojups/qiq!
iuuq;00xxx/ds/dijcb.v/kq0lv{f.mbc0npojups0bedm/qiq!

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:/5/āၪଗࠫപʥʛʠˇĜʇૈಡĪTLZOFUīĪ଱ඐຎć໴৮ల઺īණ࢝࡜েɈဿ຦ɬᆅ‫ސ‬ȳɥȹɛĂʀɺ˅ʖ˃ɂʀɺ˅ʖ˃ɬ߇ɂȱɀ౰ෳȳɥ‫܀‬ɈࠫപʟĜʗɈଲຶɂ‫ސ‬಑ɉज़ȥȵɄȞăႨʓˋʗĜɁɉĂಇો࡜௣‫ܒ‬౳ɄɃ߂ହɈණ࢝ࠫപ‫ܒ‬౳ȥɣຶɣɦɥ‫܀‬Ăʀɺ˅ʖ˃௶ၡɈණ௫ॳ
௠ૈಡɂȱɀĂ໲Ⴈɬ࠸ɚຄɺʐɺɬෂఘɅ!TLZOFU ࠫപᄀĪಫᅝĂဏ৮๿Ă‫݋‬໢၃টგĂ࢔গ๿ĂෂਡਗྠĂʗɼĂʬʶɼ഼īɬ‫܄ۿ‬ȱĂȷɈʟĜʗ‫ސ‬಑ɬ਄ȽɀȞɥăȷɈ߇ɂɄɥ࡙੮ɉ tlz! sbejpnfufsĪ๏ऋɈၪଗ
ࡩ๱ယ࿫ɈोപīɁȜɤĂȭɈʟĜʗȥɣʀɺ˅ʖ˃Ɉ৉ߔʩˁʹĜʗĪ৉ߔโৎȯĂඍ‫ێ‬ઢᅸɺ˃ʱʡ഼īȦైฤɁȧɥăTLZOFU ɉĂਡ໘ެɈ࠲ᇦॸ࢞Ʌ࿤‫ݢ‬ज़Ʉණ௫ोപʟĜʗɬอࢷȱɀȤɤĂȷɈ‫ۿ‬ᅙɅȜȹȽɀɉ࠲ᇦॸ࢞ଞɂɈˇĜʇʏʿʛʯɞʏˋʵʐɾʸɬฤࡖโɅާ੓ȱɀȞɥă௫ćTLZOFU ɅȤȫɥၪଗࠫപക඲द
੆ć!!TLZOFU ࠫപᄀĪಫᅝĂဏ৮๿Ă‫݋‬໢၃টგĂ࢔গ๿ĂෂਡਗྠĂʗɼĂʬʶɼ഼ī:/6/āȷɈ഼ोപക඲ĂʕʭʠɾʀɺĪ࢏౦ॸ࢞ଆĆࣷນॸ࢞ଆĆˀʍʭɹʛʠॸ࢞ଆĆႨࣕॸ࢞ଆīĆ૓ެĂ‫ݢ‬૗Ăࣷಘެယ৉৉๱ोɂཱଗപฤക඲
ĆʧɼʩĜʑʲʇʠ˃ʃʹˁ
Ćʶɼʇ˅༜๙ུപฤʏʑʞʸĆ਒ୈ༜‫ޑ‬ᇭಡोʕʭʠ IGTTĆ਒ୈ༜‫ޑ‬ᇭಡोʕʭʠ JF4E
Ć਒ୈ༜‫ޑ‬ᇭಡोʕʭʠ Botpgu!EftjhofsĆऋ࠰௶ၡ‫ސ‬಑ʕʭʠ BsdHJTĆ‫ܒ‬౳‫ކ‬ജ‫ސ‬಑ FS!NbqqfsĂFOWJĂFSEBTĂQDJ ɄɃ― 131 ―

\21^āိ౰3:༃๱ोધ࡙ʟĜʗʱĜʑ଱ᅟࣞო
21/2/ā‫ޱ‬ᅟāိ౰3:Ī3128ī༃๱ɉȭɦɘɁɈʟĜʗʱĜʑ৊ާࣞოɈॅറȦ଱Ʉߤ຦ɁȜɥă‫ݡ‬ȢɀĂএ਄ɈʟĜʗʱĜʑʏʑʞʸĪMjovy ɬࡊႨɂȱȹ GPTT ɬߤᅙȱȹ! guq! ʟĜʗ৊ާīɈ൦‫ێ‬౦ൣĪDfouPT ǑृīɈ˂ʯ˄ĜʑɈʗɼʷˋʈĪPT ʍʵĜʠಜɦɞĂSBJE ᅎᆲȦழȯȩɄȽȹȹɛĂɞ๝ᆵ௉ྣᆲɬᅦȢɥȹɛīɂ୭ɄȽȹȹɛĂ˂ʯ˄Ĝʑ੼ࣞȦഽȩ໴ȽɀȞɥă‫ڏۿ‬ȩ SBJE ঠ௩ɂ୭ɄȽɀ˂ʯ˄ĜʑȱɀȞɥʉĜʑɜȜɥȦĂय़‫ݪ‬โɅိ౰3:༃๱ෂɅɕɖ‫ھ‬਄ɬȳɓȧʍĜʨɈ‫ھ‬਄ɉࠊᆡȱɀȞɥă
21/3/ā3128༃๱ोધ࡙ʟĜʗʱĜʑȤɢɍʟĜʗࠣᆅૅ‫ܧ‬ଆ଱ᅟࣞო
ฆ௵ࣞოĪǍშൌ౫īঢ়ၡࣞოĪૅ‫ܧ‬ଆɢɤǍშīŜ‫ިێ‬ʍĜʨଆĂD4ĂD5ʍĜʨᇆɈ௻ൔࠣᆅĂၡਠĂʀɺʋˋʭɻ˃ʗĂ‫ݗ‬๱ࠣᆅĂ࡙ࡉʏ˂ɺ˃ʢˋʨࠣᆅ

Ŝ‫ݎ‬௫ɺˋʞʢĪGZ.3FĂǡିఒɺˋʞʢī!ʙɿʛʇŜ߂ହʟĜʗʘɾˋ˅Ĝʡ௻࣍ʙɿʛʇĂज़ᅶʟĜʗɈ੔ஐᆅĂʟĜʗᆲɈʙɿʛʇ
Nfufptbu8ĂNTH204-5Ī3129༃ǎॢɢɤī଴຦ʘɾˋ˅ĜʡĂʯ˅ʘʇʠ੼౰ĂNTH3-4ʟĜʗɈʞĜʯŜ !

຿ə୸ȱĂ။ശʞĜʯɈࠆȧᄋȱ੼ࣞăHpft.SĪH27īఛࡤʘɾˋ˅ĜʡĪ3128༃23ॢɢɤīĂHQNĪ3128
༃23ॢɢɤīĂȷɈ഼࡜௣ʟĜʗɈʘɾˋ˅ĜʡŜʞĜʯʨʛʇɺʛʯĂMUP5ȥɣ MUP7ɒɈʟĜʗ‫ھ‬຦ŜʍĜʨĜ࡙ࡉɈఛ PT ɒɈʟĜʗ‫ھ‬਄Īhfpjogp-!rvjdlmpplt-!inxs238-!bnbufsbtt-!gzīŜʹĜ˃ʍĜʨࠣᆅĂॸ࢞ଆ NM ৩ఛĂఛࡤ NM ੼౰ĂɼˋʠˁʥʛʠࠣᆅŜ

XXX ʍĜʨʋˋʞˋʜɈ৩ఛĂxxx!၂ୠĂʣʽĜʑ˄ʗĜ၂ୠ
࿍21/2/āိ౰3:!
Ī3128ī
!༃๱௩ޮຑၡਠ༃āॢā໲௩ޮĆൎܾૢਐ

3128014038

tpsbnbnf ʟĜʗ໴ᆵพોā

3128015019

NUTBUćJ0P ʀˁĜā16i.28i ʟĜʗज़ᅶĪষၒ๎Ȝɤī
GZćʟĜʗज़ᅶĪʥʛʠʠˁʮ˃ĉī

3128015022

NPEJTćTfswfs ‫ھ‬਄Ī໴ൖī

3128015024

BNBUFSBTTćtfswfs ‫ھ‬਄Ī໴ൖī

3128015028

GZćSBJE ঠ௩

3128015039

GZćSBJE ঠ௩ৄࠓ3128016012

GZćSBJ ‫௵ڽ‬

3128016013

GZĂNUTBUĂBWISSćTfswfs ‫ھ‬਄ஈྩ

3128016019ā

XO ȥɣɈ NUTBU.ISJU!1561i ɢɤିఒพો

3128016026ā

BWISSćtfswfs!SBJE ‫௵ڽ‬Ɂ‫ۿ‬ᅙพોĪ16013ġɈ‫ھ‬਄ஈྩɁʟĜʗ๖ഗ੟ī

3128016029

໴৮ॸ tfswfs!SBJE ‫௵ڽ‬Īฆඪī
!

312801603:āാᅣ৉ཡ๝ക඲พોĪฆඪī

3128017013

D5ଆɅ൒࡙ಡ඲ȱɀȞȹࢤૺ VQT!33൤ɬ༥ࡘ

3128017015

rvjdlmppltćಇો‫ܒ‬౳˂ɺ˃ʗɼʸ‫ކ‬ജ࿍૲ʇ˅Ĝˋ tfswfs ‫ھ‬਄Ʌ৐ȫพોăNPEJT1:Ătpsbnbf ɜพો3128018014

໴৮ॸʍĜʨĜVQT ʨʛʞ˂Ĝฝ‫ݚ‬Īฆඪī

3128018022

xxxćQIQ6!vojotubmm ɅɢɤĂ࢏౦ॸ Xfc Ʌ‫ࣗ܆‬

3128018031.32

xxxćQIQ8ɬ jotubmm ȳɥȦ iuuqe ᇦ຦ࡧ຦ȵȴĂQIQ6Ʌᄋȳă࢏౦ॸ Xfc ‫ޑ‬ဌ

3128018037‫ݎ‬௫Ʌ౉ȹɘɤȦɁȧȹȹɛĂ฽ɬ༧தȱ༧౉ă

3128019018

BNBUFSBTTćVQT ʨʛʞ˂Ĝৄࠓ࿍૲ĂD2ʀɺʋˋʭɻ˃ʗĜ౸೽

3128019036

GZćtmpu23tfmfdu!ujnfpvuāʟɻʑʇৄࠓĂᄕ࠰ɢɤʟɻʑʇɺʇʓʑʀˁĜ

3128019039

GZ!tmpu6!tfmfdu!ujnfpvuāʟɻʑʇৄࠓāSBJE!J0P ʀˁĜ― 132 ―

༃āॢā໲

௩ޮĆൎܾૢਐ

312801903:‫ިێ‬ഋതʀɺʋˋୌᆅࠊᆡ

312801:012

GZćSBJE ୌဌ࿤༑ɈȹɛĂtfwfs!‫ۿ‬ᅙพોăఛʍĜʨɒɈ‫ھ‬਄ɬ‫ݡ‬ബ

312801:015

໴৮ॸ tfswfs!SBJE ‫௵ڽ‬Īฆඪī

312801:024

GZćఛ tfswfs ‫ھ‬਄ࠊᆡĪஐᆅĆ৊ާʍĜʫʑ੔ާī

312801:032

HPFTćSBJE!TESBN!FDD!Dpouspmmfs ʀˁĜĪᅕાॽī

3128021012

inxs938hs-dbmd.mpdbm!
ĪI19!hsjeefe!qspevdu ౺౰ोધ࡙īćIEE ǎȾಘˁˋʯĂIEE ৄࠓ

3128021016

I19!hsjeefe!qspevduć151341ȥɣஐᆅพોăാᅣ৉ཡ๝ക඲ĂୌᆅɅɢɤཡ๝ާ઻

3128021017

I19!hsjeefe!qspevdu ஐᆅć‫ޑ‬ဌ

3128021024

ो‫ކ‬พ๝ஈྩ

3128021026

ಀಫᅝණࣾो‫ކ‬พ๝

3128021026

NUTBUćSBJE ๝঍ঠ௩ɅɢɤᆏȻ௫ȦɣȴŨ NUTBU!tfswfs ‫ۿ‬ᅙพો!

312802102:.

HF-!HX-!I19Īqohīā25;31.26;23ज़ᅶʟĜʗ੔ஐᆅ

3128021035ā

22;41ɢɤɌɘɩɤʈ˂ʛʡʟĜʗ౺౰พોĪ2:3ʥʛʠˇĜʇɈ࿤ᆯ .inxs93:.suī˂ʮĜʠɅɢɤ‫ޑ‬ဌ

3128021036

I19Īqohī34;22;51.35;16;61੔ஐᆅ

3128021038

inxs238ĪNUTBUĂHNT ʏ˂Ĝʒī!tfswfsć࡙༑ާ઻

3128021041

Hbjb!tfswfs दࡧ຦ɅɢɤǍިʍĜʨଆෂܻင‫ݗ‬๱Ȧ௫ீĪ3:ŎŨ42Ŏī

3128022018

2G ʍĜʨଆෂܻငଆ‫ݗ‬Ȧ41ŎɅ௫ீăಲဇ࡙Ɉ༯඲ဿ৩Ɂ35ŎɅ‫ޜ‬೑ă

3128022019

inxs238ʟĜʗၒ୤Ănfufptbu ʞĜʯ໴‫ݷ‬ǓॢĽǕॢယĪNTH2-!3/4ī

3128022026

HPFTćSBJE!TESBN!FSSPSĪᅕાॽī

3128023012

2G ʍĜʨଆഋതʀɺʋˋɈʩˇĜฝ‫ݚ‬Ī‫ۿ‬ᅙʷʑɂɈȭɂīĂrvjdlmppltĪఛī࿤ᆯ DQV ʇĜˁĜৄࠓĂgjsnxbsf ৩ఛ3128023026ā

ఛ rvjdlmpplt ʥʛʠඣೀĂ੔ࡧ຦

3128023032

໴৮ॸʍĜʨĜVQT ʨʛʞ˂Ĝฝ‫ݚ‬Īฆඪī

3129012015

HPFTćSBJE!pwfs!wpmubhf Ɉ࿍૲Īᅕાॽī

3129012019

HPFT.FBTUćhwbs Ɉ༯ఒพોĪHPFT.SĂ3128023029ɢɤ౷ૺ‫ۿ‬ᅙɈȹɛī

3129012027

XXX!VQT ्ਠ‫ݙ‬

3129012036

2G ʍĜʨĜଆć༧࡜ࠣĪ༥༂ࠣīഝಡ৙ૢ

3129012037

getsćSBJE ʟɻʑʇᆀᅙᆲ:6ɒœ3129013013

GZ-!INXS238ć˅ʈ˅ĜʞĜʏʿˋɈୌ౷ĂD4ʶ˃ʙʟɻʑʯ˄ɼུ໴

3129013019

1542VUD ɢɤ GZ ʟĜʗพો!ȷɈষ੔ާ

312901301:

Ɍɘɩɤǔਖ။ଳɅɢɤǕਖɅಜൖĪǎ024!22;33;41KTU.3025!27;31KTUī

312901302:

HPFT27ĪHPFT.SīʟĜʗʍĜʨ࿤෮Ʌɢɤʘɾˋ˅ĜʡพોĂȷɈষ‫ޑ‬ဌ

312901401:

hpft4h.ftuĪHPFT.S ൎܾīćʥʛʠˇĜʇඣೀ

3129014023

hpft4h.ftuĪHPFT.S ൎܾīć੔ࡧ຦ȱɀɜ‫ޑ‬ဌȵȴ

3129014031

NTH4ćsbqjetdbo ɒ‫ھ‬਄ăNTH5౷ૺ‫ۿ‬ᅙĪ3032ɢɤʟĜʗอࢷާ઻ī

3129014034

hpft4h.ftĪHPFT.S ൎܾīćtfswfs ʶʏˋʧĜʡɈ໴ൖɅɢɤൎܾă

21/4/āိ౰3:Ī3128ī༃๱ʟĜʗʘɾˋ˅Ĝʡଌಕāိ౰3:Ī3128ī༃๱ʟĜʗʘɾˋ˅Ĝʡଌಕɉ‫ݚڬ‬ɈฆɤɁȜɥăູɅိ౰3:༃๱ɉʍĜʨ‫ھ‬਄Ăʠˁʮ˃ɅɢɥʍĜʨพોȦഽȩᄵɤĂʟĜʗʘɾˋ˅Ĝʡ˅ʈɬ౷ȱȩୠोȱಜɦɀȞɄȞɂȭɧȦȜɥȹɛĂຕोඩɉଌ੫ɢɤவɄɛɂɄȽɀȞɥ‫ݢ‬༑౯Ȧ਒ȞȦĂౘɈഽȩȦɌɘɩɤǔਖ࠲बɁȜɥȹɛĂଌಕඩɅ൥ȧɄ‫܆‬ࣗɉᅇȢɀȞɄȞɂૃɩɦɥă― 133 ―

࿍21/3/ā3128༃๱ʟĜʗʘɾˋ˅Ĝʡଌಕ‫ܒ‬౳ğʓˋʍĜშ
OPBB0BWISSߔ໘ʘɾˋ˅Ĝʡߔެʘɾˋ˅Ĝʡ઀༃྘āߔ໘ğߔެĪœī329-739

1/12

0

21/7:

Ufssb!Brvb0NPEJT

43-381:67-514:949/52

0

2:33/18

HNT6-!HPFT:

566-554

252-3772295/860

2:2/53

NUTBU

2-617-372

2-218-913

335/98

0

58/64

GZ3

2-72:-157

614-545:95/::

0

2::/:7

3

225

1

0

65/92

HPFT.F-!.X

2-2:2-256

234-98695/:5

0415/28ණᆅ௶ၡຑ

8-869-:47

2-:67-:44

37:/620253/:2

USNN-!HQN

2-7:8-9782-325-2:6

79:/560379/88ၪଗʯ˅ʘʇʠ

4-9:4-736

27-231-333

317/7:

0277/:4Ɍɘɩɤǔਖ

41-287-:65

26-:16-25:

8:/27

0

217/93

഍ो59-442-662

49-159-132

216/:30

23:/:

Nfufptbu-!NTH― 134 ―

\22^ā!!ိ౰3:༃๱ DFSfT ʣʽĜʒ˄ʗĜʰʛʡˁɼˋȤɢɍʣʽĜʑ˂˂Ĝʑ!
Īiuuq;00xxx/ds/dijcb.v/kq0kbqboftf0ofxt/iunmī
ş!Ofxtmfuufs!Op/248Īཡ਄3128༃ǐॢī൥ߔۡ‫ޜ‬೨Ă˂ʺĜʠʓˋʏˋʈʋĜʑಡᆏāġʈ˅Ĝʨ˃Ʉ૗๘ɬ૩ȽȹߔɍɈ௲ɂȱɀġ
Gvuvsf!Fbsui!၇ࣅ‫ޏ‬āġʓˋʗĜෳɂߔ౺ɂɈ‫ޏࠓৄॽڷ‬ġఛ໸ఊۙɈ௘‫ގ‬ćી‫ۈ‬ሆల࣋ୂĂࣷນ‫ދ‬౮ູ໸஝࣋
ɺʃʟʷʛʇĆ˂ˋʇĆɾɻĜʇࡅ‫ކ‬āġĶɌɘɩɤǔਖȦ჏ȵɥ!ʭ˃ʃˁĜɈ౦‫ޢ‬ķġ
ş!Ofxtmfuufs!Op/249Īཡ਄3128༃Ǒॢī‫݊ڤ‬ʓˋʗĜෳĂʣʽĜˀĜʇਡᇦႨငɁਆ‫ܩ‬āġ TUJ!Gpsvn!3128!bu!VOIR!jo!Ofx!Zpsl ġ
JTST3128Ăშগ‫ݎ‬൥ߔɅɀާ੓āġ࢏౦৘ც࣋ୂĂ໲Ⴈ˂ʺĜʠʓˋʏˋʈߔ‫ޏ‬ĪSTTKīɢɤোಕ௤ġ
DFSfT ਡ੫ʏˋʵʐɾʸĶNPMJ ਡ੫ˇĜʇʏʿʛʯķާ੓
ိ౰3:༃๱ߔ౺ɂ࣋ۙɈൎჶૺĪఛఱ॒࠙‫ޏ‬īާ੓
ş!Ofxtmfuufs!Op/24:Īཡ਄3128༃ǒॢī
GMVYOFU!Dpogfsfodf!3128ઞ‫ݡ‬ၡਠ!ġ BtjbGmvy ൣ࿍ɂȱɀĂʃ˂ʭʁ˃ʣɺ൥ߔʨĜʇ˄Ĝ৫Ʌɀཡ࿍ġ౦‫ޢ‬੕ழĆ੕ॎᆲɈ211ҹࢡழळ‫ܒ‬౳Ć˄ĜʘɈॸ࢞ʺʟ˃Ȧࠊ౰Ċ!
āġ਒౼๱Īnn ġ dn ౼๱īɁ૵೓੠ޮɈ೐෗ɬࠫപġఛ໸ఊۙɈ௘‫ގ‬ćˁʌ˅ʍʑāʦʭɿ˃āູ໸஝࣋
ş!Ofxtmfuufs!Op/251Īཡ਄3128༃Ǔॢī
JHBSTT!3128ઞ‫ݡ‬ၡਠ
Gvuvsf!Fbsui!ʓˋʗĜෳɂߔ౺ɂɈ‫ޏࠓৄॽڷ‬ĪǐġǓॢɈɘɂɛī
ş!Ofxtmfuufs!Op/252Īཡ਄3128༃ǔॢī൦21‫ޑ‬໩બ‫ݛ‬ඖ೧ਡ੫‫ࡼޏ‬Ʌɀ౰‫ݪ‬ཡ࿍āġࣷນູ໸஝࣋ɣɈॸ࢞౰‫ݪ‬Ȧ৏ຢཡ࿍ɅೊɊɦɥġߔ‫ڮ‬ଲຶȤɛɁɂȠȮȰȞɘȳ
ş!Ofxtmfuufs!Op/253Īཡ਄3128༃ǕॢīDĆY ʨˋʡਗ౰ާ৏˄Ĝʘ຃੪ਂऋ࡙ଌঅ!āġშ࿥ȫɀĂIjopupsjʷʛʏʿˋĂɼˋʡʥʏɺɁႨ߆ʑʗĜʠġ
൦25‫ޑ‬ɺʐɺĆʂʓɺʣɺණ࢝‫ާޏߔߔݨ‬੓āġᅔູ໸஝࣋Ăࣷນູ໸஝࣋ɣȦਡ੫ʓʛʏʿˋɬ଱੓ġɺʐɺණ‫ۊ‬Ɉॸ࢞ଞɬ஽ȞɀˇĜʇʏʿʛʯɬާ੓!
āġ۫ᆲोʟĜʗɬᅙȞȹ‫ޜ‬ᆯळɺ˃ʌ˂ʒʸĪBQISPEJUF.3īɈଌ୔ġ
ş!Ofxtmfuufs!Op/254Īཡ਄3128༃21ॢī
DFSfT ࢼວᆀᅙॸ࢞‫ާޏ‬੓āġʧɼʩĜʑʲʇʠ˃Ćʶ˃ʙʑʲʇʠ˃ʟĜʗɈोപɂદܾࣞᅙġ୽ࡠɈ൥ߔۡ˂ʺĜʠʓˋʏˋʈʋĜʑɈୂࣞ௘‫ގ‬ဦင‫ߔݨ‬ௐ!ߔ୹࡙࠲‫ݻ‬Ɉ DFSfT ૗ઍɼˋʡʥʏɺȥɣॸ࢞ଞᅰၸĂDFSfT Ʌɀॸୌāġ൥࡜˂ʺĜʠʓˋʏˋʈĂਗ౰ާ৏˄Ĝʘॸୌଌૈġಫᅝ൥੥ɅȤȫɥ DFSfT ʨˋʡɈ‫ܩ‬೵
ş!Ofxtmfuufs!Op/255Īཡ਄3128༃22ॢīɼˋʡʥʏɺɈ෰๶༝ਡ‫ۙࡼޏ‬චᅰ໲āġဦင‫ߔݨ‬ௐၸᄎȤɢɍॸ࢞এ௲Ɉଌൔɂȱɀ DFSfT ɬ૗ઍġ႘‫ັޠ‬Ɉᅷ༔ߔ‫ܠ‬൥ߔɁ˂ʺĜʠʓˋʏˋʈߔ‫ާޏ‬੓
― 135 ―!

ş!Ofxtmfuufs!Op/256Īཡ਄3128༃23ॢī࡜েဿ຦ࠫപ‫ܒ‬౳ĶȱȧȯȞķĪHDPN.Dī൅Ȼ௫Ȭ౰ো!
āġႨഽஂ࣋ୂɬɉȲɛĂDFSfT ɢɤഽȩɈ࣋ۙȦॸ࢞Ʌઞ‫ݡ‬ġࢼວᆀᅙॸ࢞‫ާޏ‬੓āġĶఆ౺ĆʧĜʡʗĜʊʛʠˁɼʘĜɈ࿱࢒ɬɛȰȱȹʕʭʠĆʧĜʡާཡķġ
DFSfT ɢɤȤඪɣȵ!ಫᅝી‫ߔݨ‬ʭɿʑʗ3128Ʌ DFSfT ࣋ۙǏშ๨ඡࠞࣃ˂ʺĜʠʓˋʏˋʈʏˋʵʐɾʸȤɢɍಫᅝ൥ߔ Gvuvsf!Fbsui ʏˋʵʐɾʸާ੓
DFSfT ‫ཾێ‬৊ާਆ‫ާޏܩ‬੓
ş!Ofxtmfuufs!Op/257Īཡ਄3129༃Ǎॢīી‫ୂ࣋ۈ‬ĂKbqboGmvy ‫ۙڳ‬ෳɅ୊໸
DFSfT ਡ੫ʏˋʵʐɾʸާ੓āġɼˋʡʥʏɺĆʐʻʃ˃ʗɅɀਗວʏˋʵʐɾʸġࠂ༜୙ᅰĂ໲Ⴈ‫ޠ‬തɁ൥ಥĂ࠲ຄɁɜಓಥāġ DFSfT!ZpvUvcf ৊ૺʙʻˋʥ˃ɢɤġ
ş!Ofxtmfuufs!Op/258Īཡ਄3129༃ǎॢī൦ǎ‫ޑ‬ಫᅝ൥ߔʭʽĜʙʻĜĆɺĜʑʏˋʵʐɾʸާ੓āġࡅࣞɂߔ౺ɬߤ຦Ʌଲɤਮɚġ൦31‫ʺ˂ࣃࠞޑ‬Ĝʠʓˋʏˋʈʏˋʵʐɾʸާ੓ಫᅝી‫ߔݨ‬ʭɿʑʗ3128Ķ൥ఱȦߖȱɚ‫࣋ߔݨ‬ଆķ
ş!Ofxtmfuufs!Op/259Īཡ਄3129༃Ǐॢī
DFSfT!‫ཾێ‬৐ȫ৊ާਆ‫ާޏܩ‬੓āġĶᅕęɄ଴ၭɁ࠲ຄɈĂ౦‫ޢ‬Ɉਏ౉ɬപɥķġ൦22‫ ޑ‬WM!ਆ୔‫ޏ‬ĂWM ࢾࡼ‫ޏ‬Ȧშগ‫ݎ‬൥ߔɁާ੓āġ YSBJO ˄ĜʘʟĜʗɈ‫ސ‬಑ġߔ‫ڮ‬ଲຶȤɛɁɂȠȮȰȞɘȳŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖŖ
ɟġŏŦŸŴųŦŭŦŢŴŦġŏŰįĹȪอ࣐ĳıĲĸා˒࠮ȇဠռඅහ੩‫ޗ‬ȫ‫ܒ‬౳ࠫപȥɣᆹஸఆ౺Ȧʺʣʗ˂ˋʈ‫ݢ‬༑ɅĊāġ CSEG ʟĜʗɬᅙȞȹ႘ၫᆹɈᆹஸ OEWJ Ɉʶʛʬˋʈġ
ş!Ofxtsfmfbtf!Op/:Īཡ਄3129༃ǎॢćી‫ۈ‬ሆల࣋ୂī࡙‫୔ߔޟ‬ɂ‫ܒ‬౳ࠫപʟĜʗɬऄ઴ȱȹᆌ‫ ۊ‬DP3࢓େ༧୸ᆲɈైฤ
āġණ࢝ࠫപʫʛʈʟĜʗɬᅙȞȹʟĜʗʍɼʀˋʑɅɢɥණ࢝‫ݗ‬ඤ‫ݛ‬ᄎ൨ɒɈਇॷġ
ş!Ofxtsfmfbtf!Op/21Īཡ਄3129༃Ǐॢćࣷນ‫ދ‬౮ູ໸஝࣋ī࡜েɈ૵೓ဿ຦Ȧ൥ࡤჹఝᆹཤੜɅɢɥ໩બ‫ݛ‬ඖ೧Ɉ༧୸ɬഊ઒ȱȹএ௣ɬ౦‫ޢ‬Ɂ஑ɛɀॳ୸Ċ
ā!!ġຄ໤ɺʐɺɈ౺ൔृɅɢɥ DP3༧୸ᆲȦ3111༃ൣɅঌவȱȹঈۚɬ‫ސ‬ცĂණ࢝‫ݗ‬ඤ‫ݛ‬এ௣Ɉᆅ‫ސ‬Ʌ৐ȫɀఛȹɄഫߙȥɤġ
ş!Ofxtsfmfbtf!Op/22Īཡ਄3129༃Ǐॢćˀʍʭɹʛʠॸ࢞ଆī౦‫ޢ‬஑Ăਂऋ࡙຃੪‫ܟ‬ှ༜ਗ౰ާ৏˄ĜʘĪDQ.TBSīɈ‫ކ‬ജଲຶɅ౰োĊāġɢɤ೏ცĆ਒౼๱ɅࠞࣃĂ੠ޮĂɼˋʭˁɬࠫപ‫ݢ‬༑ɅɄɥġ― 136 ―

Į23įā೨ఉĆ‫܄ۿ‬ĆఱૢĆᅅધ
23/2/āʓˋʗĜɈ৭౰Īိ౰41༃Ǐॢএ੭īʓˋʗĜෳāāā‫݊ڤ‬ā೑ဦ˂ʺĜʠʓˋʏˋʈࡊྉॸ࢞ᆴ‫ۊ‬˂ʺĜʠʓˋʏˋʈထਗॸ࢞ᆴ‫ۊ‬࣋āୂāāāKptbqibu!Ufuvlp!Tsj!Tvnbouzp࣋āୂāāāી‫ۈ‬āሆలஂ࣋ୂāāāႨഽā‫ݣ‬ცஂ࣋ୂāāā໴৮āల઺ਆāુāāāߝঈāয়શ࣋āୂāāā࢏౦ā৘ც࣋āୂāāāࣷນāூྷஂ࣋ୂāāāႨࣕāಫ୽‫ܒ‬౳ʟĜʗஐᆅଆଆෳĆஂ࣋ୂāāā樋৏āຼૂஂ࣋ୂāāāāāāᥓນāஶા

23/3/āఊۙშၛĪိ౰41༃Ǐॢএ੭ī
࣋ۙ೨ఉ
ఊāშ

ྩā৽

ູ໸࣋ୂ

‫݊ڤ‬ā೑ဦ

ʓˋʗĜෳ

࣋ୂ

࢏౦ā৘ც

ဋʓˋʗĜෳ

࣋ୂી‫ۈ‬āሆల

࣋ୂ

ࣷນāூྷ

ā

࣋ୂ

Kptbqibu!Ufuvlp!Tsj!Tvnbouzp

ā

ஂ࣋ୂ

໴৮āల઺

ā

ஂ࣋ୂ

ᥓນāஶા

ஂ࣋ୂ

樋৏āຼૂ

ā

ஂ࣋ୂ

Ⴈࣕāಫ୽

ā

ஂ࣋ୂ

Ⴈഽā‫ݣ‬ც

ā

ਆુ

ߝঈāয়શ

ā

+

൩ᄘā࿢ც

৙ߔॸ࢞ۡ

࣋ୂ +

ટ੸āဦᅂ

৙ߔॸ࢞ۡ

+

ဎငāਞა

ᆅߔॸ࢞ۡ

กშāൿᅂ

৙ߔॸ࢞ۡ

࣋ୂ
࣋ୂ

ஂ࣋ୂ +
+

‫ݡ‬ນā঄

‫ݨ࢞ॸߔ॑ܠ‬

ູ໸஝࣋

ᅔā‫ڰ‬

ā

ູ໸஝࣋

Bmfttboesp!Ebnjboj

ā

ູ໸஝࣋

‫ۈ‬ഺāఒࡹāູ໸஝࣋ࣷນā‫ދ‬౮āູ໸஝࣋

Divb!Njoh!Zbn

ູ໸஝࣋Mbhsptbt!Opgfm!Efmb!Dsv{

ູ໸஝࣋

ટ๜āც९

ູ໸ॸ࢞ۙ

݊Ⴈāৰ

ູ໸ॸ࢞ۙ

ၹ຀ā৹‫ێ‬

ā

ູ໸ॸ࢞ۙ

࣌Ⴈā୻ூ

ā

ູ໸ॸ࢞ۙ

ঢ়౧āმૂ

ࢊۙ࣋ୂ

༣ဓāሆᅂ

ਡᆏࠞࣃॸ࢞ஒ

ྥ௵ࣦਆુĪࢊۙஂ࣋ୂī๜ෂāॿ૭ࢶ๬൥ߔ႕੠ॸ࢞ஒ

ྥ௵ࣦਆુĪࢊۙஂ࣋ୂīඹෂā‫܉‬௃ۧහਂऋॸ࢞ާཡ࡙৭

ྥ௵ࣦਆુĪࢊۙஂ࣋ୂī႞ā‫ދ‬য়

ຄ႘৙ࣞ൥ߔ

ਆુĪॸ࡙࢞࠲ॸ࢞ۙī਒࣌ā‫ڟ‬਑

ā

஝࣋

+

્āშ

ɉ१ო࣋ۙ

― 137 ―

ā

ૢო೨ఉ
ఊāშ

્āშ

ྩā৽

ૢოʓˋʗĜෳ๲‫ݎ‬ā౷஧

৙ߔृૢოʓˋʗĜ

ಮᄑۙ

ሆ๜āਔ

৙ߔृૢოʓˋʗĜ‫ཾێ‬ఊۙ

ੂນāᄯྰ৙ߔृૢოʓˋʗĜູ໸ಮᄑఊۙ

ழ៛āܑ૭

ā

ૢოၒੂۙ

ಫᅝāణ࢕

ā

ૢოၒੂۙ

࣌Ⴈā‫ྰݠ‬ૢოၒੂۙ௄ঈā໖෿ા

āૢოၒੂۙ௄Ⴈāषᆅા

ā

ૢოၒੂۙ

ကతāሆા

ૢოၒੂۙ

‫ڭ‬ນā‫ݠ‬ા

ā

ૢოၒੂۙ

෿๜ā‫ݠ‬ા

ā

ૢოၒੂۙ

ိᄘāəȯ

ā

ૢოၒੂۙ

࢔Ⴈāಫഁ

ࡳ୹ၒੂۙ

ಆᄄāੂषા

ࡳ୹ၒੂۙ

ۧ๜āᄙ౺

ࡳ୹ၒੂۙ

‫ݡ‬ນā௕ા

ࡳ୹ၒੂۙழ౟౺āဦ‫ݙ‬

ࡳ୹ၒੂۙ

छರāᄡൣ

ࡳ୹ၒੂۙ

ᆏಒāਗ਼

ࡳ୹ၒੂۙ

ᆹāਂ൥

ࡳ୹ၒੂۙ

ᆹāᄲ‫ގ‬

ā

23/4/āࢪ๘‫ޏۙڳ܄ۿ‬ိ౰3:༃๱āಫᅝ൥ߔࠞࣃ˂ʺĜʠʓˋʏˋʈॸ࢞ʓˋʗĜࢪ๘‫ۙڳޏۙڳ܄ۿ‬შၛ
ိ౰41༃Ǐॢ42໲এ੭
ᄜāఊ

્āშ

ஒമĆఊშ

‫ۙڳ‬ෳ

ਥ࠾āᤁ঵!

൥ߔۡ৙ߔॸ࢞ۡĪ࣋ୂī

‫ڳ‬āۙ

྅ഺā২!

ಫᅝॻࠞࣃॸ࢞ʓˋʗĜĪ଱໸௫ಌॸ࢞ۙī

‫ڳ‬āۙ

௫๜āག

შগ‫ݎ‬൥ߔĪშᅈ࣋ୂī!

‫ڳ‬āۙ

ୣāც౷

ຄࢶ൥ߔʍʑʞɼʢʫ˂ʞɻߔॸ࡙࢞৭Īშᅈ࣋ୂĆູ໸࣋ୂī

‫ڳ‬āۙ

ෳඇರāࣧ

ਡ๲࠵൥ߔဦߔငĪ࣋ୂī

‫ڳ‬āۙ

༳ࠍᄘā২

ຄࢶ৙ࣞ൥ߔĪშᅈ࣋ୂī

‫ڳ‬āۙ

ટႨāಇ࿧

ۧහਂऋॸ࢞ާཡ࡙৭Īᆅૢī

‫ڳ‬āۙ

ဎငāਞა

൥ߔۡᆅߔॸ࢞ۡĪ࣋ୂī‫ڳ‬āۙ‫݊ڤ‬ā೑ဦ

ࠞࣃ˂ʺĜʠʓˋʏˋʈċॸ࢞ʓˋʗĜĪʓˋʗĜෳī!

‫ڳ‬āۙ

࢏౦ā৘ც

ࠞࣃ˂ʺĜʠʓˋʏˋʈċॸ࢞ʓˋʗĜĪဋʓˋʗĜෳĆ࣋ୂī

‫ڳ‬āۙ

ࣷນāூྷ

ࠞࣃ˂ʺĜʠʓˋʏˋʈċॸ࢞ʓˋʗĜĪ࣋ୂī― 138 ―

23/5/āߔ໘߂ହ‫ۙڳޏۙڳ‬ȤɢɍʓˋʗĜ໘‫ޏۙڳ‬໹଼ĳĺාഽȁ‫ڠ‬ඤ‫ڎ‬ਅտ֥ٛտ֥
‫ޏۙڳ‬ຑშ

‫ۙڳ‬ఊშ

્āშ႕੠ࡇ࡙ൎ઄ଆ

ଆۙࣷນāூྷਡ੫ಱᆒႨင!ਡ੫ಱᆒଆ

ଆۙ

Kptbqibu!Ufuvlp!Tsj!Tvnbouzpߔ୹ॸ࢞ైమ࡙৭āॸ࢞ૅ‫ކࡅܧ‬င‫ޏ‬

৭౰ۙ

ࣷນāூྷ

ߔ୹ॸ࢞ైమ࡙৭āଭ଴ॸ࢞ଞ‫ۋ‬౰ငᄑʞʣʽɺʠˁʛʇగੈĆ࿎‫ݟ‬င‫ޏ‬

৭౰ۙ

࢏౦ā৘ც

ߔ୹ॸ࢞ైమ࡙৭āߔ୹૝ᆧငᄑ
ߔ୹૝ᆧಮᄑင‫ޏ‬৭౰ۙી‫ۈ‬āሆల

ঢ়ၡಱᆒଆāঢ়ၡైమಮᄑင‫ޏ‬

৭౰ۙ

໴৮āల઺

‫ۙڳ‬

ᥓນāஶા

ʾʣʛʠࠞࣃಗ໸ଞĪॸ࢞ງīᥓນāஶાʾʣʛʠࠞࣃಗ໸ଞĪࢼວງĆଌঅງī

Kptbqibu!Ufuvlp!Tsj!Tvnbouzpʾʣʛʠࠞࣃಗ໸ଞĪ৙ߔृ഍ਗງ9Gīࣷນāூྷௐʀʥ˂ĜʘĜ‫ࡼޏ‬ௐʀʥ˂ĜʘĜߝঈāয়શʧˁʑʹˋʠഊඨۙ

ʧˁʑʹˋʠഊඨۙ

Ⴈࣕāಫ୽ငࣟ௶ၡ။ীࠣᆅಗ໸ଞ

‫݊ڤ‬ā೑ဦ

ငࣟ௶ၡ။ীࠣᆅଞ

࢏౦ā৘ცʋˋʯˁɼɺˋʑైమಗ໸ଞ

‫݊ڤ‬ā೑ဦ

ʋˋʯˁɼɺˋʑైమဋಗ໸ଞ

࢏౦ā৘ცॸ࢞ᆷᆅ࣋‫ۋ‬ಗ໸ଞ‫݊ڤ‬ā೑ဦ

ࠞࣃ JTP ଌ਄‫ޏۙڳ‬௶ၡ‫ڤ‬೔ࠣᆅൌ౫

ʋˋʯˁɼɺˋʑࠣᆅ
ॸ࢞ᆷᆅ࣋‫ۋ‬ိ౰3:༃๱āʓˋʗĜ໘ā‫ޏۙڳ‬შ࢒ɍ‫ۙڳ‬შ‫ޏۙڳ‬შ

‫ۙڳ‬ෳ

‫ڳ‬āۙ

ᅅધ‫ޏۙڳ‬࢏౦ā৘ცࣷນāூྷĂKptbqibu!Ufuvlp!Tsj!TvnbouzpĂ樋৏āຼૂࢼວᆀᅙॸ࢞ైమ‫ޏۙڳ‬Ⴈࣕāಫ୽Ⴈഽā‫ݣ‬ცĂKptbqibu!Ufuvlp!Tsj!TvnbouzpĂી‫ۈ‬āሆలঢ়ၡ‫ޏۙڳ‬Kptbqibu!Ufuvlp!
Tsj!TvnbouzpᥓນāஶાĂ໴৮āల઺ૈಡ‫ޏۙڳ‬ࣷນāூྷႨഽā‫ݣ‬ცĂᥓນāஶાोધ࡙࢒ɍʟĜʗʱĜʑ‫ޏۙڳ‬樋৏āຼૂࣷນāூྷĂߝঈāয়શĂᥓນāஶા࣋‫ޏۙڳۋ‬ࣷນāூྷߝঈāয়શĂKptbqibu!Ufuvlp!Tsj!TvnbouzpĂ樋৏āຼૂ୊ఊĆߔ౺ૅ‫ۙڳޏۙڳܧ‬໴৮āల઺ෂࡖो‫ైކ‬మ‫ޏۙڳ‬‫݊ڤ‬ā೑ဦ

ಮ໸࣋ۙ૵জ๘ॳ ¦ ࿎‫ޏۙڳݟ‬‫݊ڤ‬ā೑ဦ

ಮ໸࣋ۙļૢოʓˋʗĜෳߔ୹ైమࡅ‫ކ‬ழ‫ޏۙڳ‬ી‫ۈ‬āሆల

ʓˋʗĜෳĂᅅધ‫ۙڳ‬ෳĂঢ়ၡ‫ۙڳ‬ෳĂʓˋʗĜૅ‫ܧ‬ʈ˃Ĝʯʈ˃Ĝʯ˂ĜʘĜ― 139 ―

23/6/āᅅધိ౰3:༃๱ā੕୒ᅅધૢāਐᅅધߗĪ‫ܟ‬ī‫ৄྣ܄ۿ‬࿥ࣸྩā৽

23:-429-111

࣋‫ྣॄ࢞ॸۋ‬95-922-111

ʈ˅Ĝʨ˃ʯ˅ʷʥˋʠॸ࢞ࡊࠎ

25-661-111

೔ਡࢼວᆀᅙĆࢼວଌૈ37-868-111

ၭఱ‫ߤ܄ۿ‬౯‫ྣॄܧૅݛ‬611-111ߔෳ੩ᆲॄྣ

4-311-111

ެင૝ࣸ

322-822-748‫ྣ࢞ॸߔݨ‬ၒ஝ࣸ

24-231-111 ೐༃๱ट‫ܛ‬ယɬ࠸ɚି൵ॸ࢞ॄྣ

251-:39-388 ੔‫ڳ‬൵ယɬ࠸ɚ

ࢼວॸ࢞ॄྣ

6-4:1-681

ି൵ૢࣞॄྣ

25-291-692

ࡍ࿽ࣸॄྣ

29-669-:92 ೐༃๱ट‫ܛ‬ယɬ࠸ɚၒ஝ࣸຑॄྣ

6-872-:29ॸ࢞࠲ᇦॄྣ

23-182-421

ॸ࢞࠲ᇦॄྣĪ೔ߔࢼฆຑॄྣī2-811-111

ૈಡಡྩྣၒ஝ࣸૢࣞॄྣຑ

1

ਗāो

452-13:-748

Ŧಮ໸࣋ۙĂ௵ࣦૢოఊۙɈఱॣྣĂ࢒ɍ൥ߔႨငૅ‫ܧ‬ɈఱॣྣĪʟĜʗɺĜʃɼʮࣞოɅबɥູ໸ယīɉ࠸ɘɄȞă― 140 ―

23/7/āެင૝ࣸ‫ێ‬ᅿĪ࠰ಞॄྣ࠸ɚ༃๱ඍ‫ڮ‬Ɉ༯ယĆऴᄝߗĂȹȺȱயߔࡍ࿽ࣸĂၒ஝ࣸຑɉྥऻ੪ī
ॸ࢞ହᄆ

ॸ࢞ʞĜʶ

ି໴࣋ۙ

ࣸߗ

‫ྣ࢞ॸߔݨ‬ၒ஝ࣸ෣ಱโၴ‫࢞ॸވ‬ĪఛࡤīɌɘɩɤǔğǕਖɅɢɥ඗ୁჩ࡜েܸಹဘଋʂʖˋ༏๱Ɉ ᥓນāஶા਒ߊ๱ຩ୸

3-::1-111!

ࡊྉॸ࢞ĪǟīāĪॅറīɌɘɩɤǔਖʀɺ˅ʖ˃ʟĜʗɈਡ੫ණ௫˂ʺĜʠʓˋʏ ໴৮āల઺ˋʈࠫപᄀɅɢɥ਒ߊ๱ॳ௠

2-541-111!

ࡊྉॸ࢞ĪTīĪယඐଞīĪॅറīഽ༜ෳˁɼʘĜɂ‫ߔݛ‬ᄪഗʺʟ˃ɬຕਗȱȹʀɺ˅ʖ˃Ǒ ໴৮āల઺૫ইວ‫ݛ‬Ʌ࠲ȳɥಪຩโॸ࢞
āॸ࢞ൣ࿍ଞćۭᄘ‫ڭ‬෿ૂĪࣻୋ൥ߔī2-411-111ࡊྉॸ࢞ĪǝīĪယඐଞī ႘ɺʭ˂ʃ߿ഇණ‫ۊ‬ɅȤȫɥ૩റ‫ݢ‬༑Ʉණ‫౉ݚ‬ᆀᅙʏʑʞ ࣷນāூྷ
Īఛࡤī
ʸɈ৭භ
āॸ࢞ൣ࿍ଞć࠾੸Ȣɤ໖Ī௫ථ൥ߔī2-541-111ࡊྉॸ࢞ĪǝīĪယඐଞī ࢳᇆཽఇ࡙৭Ʌ࢒ɖȳණ࢝‫ݗ‬ඤ‫ݛ‬Ć࡜েဿ຦‫ࣗ܆‬Ɉഁࡖ् ࣷນāூྷĪॅറī‫ૄޚ‬࿈Ɉ৭භɅ৐ȫɀāॸ࢞ൣ࿍ଞćʑʠ˃ʑʶˋ!D/B/!Īຄࢶ‫ޠ‬ᅖ൥ߔī

761-111ࡊྉॸ࢞ĪǝīĪယඐଞī ʀɺ˅ʖ˃ණ௫˂ʺĜʠʓˋʏˋʈࠫപᄀɅɢɥౘඩʺʟ ໴৮āల઺Īॅറī˃Ɉ࡜েဿ຦ᅅപɈ਒๱‫ݛ‬āॸ࢞ൣ࿍ଞćඹഺ୻ྷĪࣻୋ൥ߔī

4-257-111ࡊྉॸ࢞ĪǞīĪယඐଞī ࡜েဿ຦࢒ɍଜ‫ॄޏ‬੟ʏʢ˂ʂɬ৽ᆞȱȹঢ়‫ݭۊ‬ರཷᅼ˂ ࣷນāூྷĪॅറīʑʇᅅപʺʟ˃ާཡ
āॸ࢞ൣ࿍ଞćߐā‫܉‬ସĪ๲ᄄॸ࢞ஒī2-385-111ࡊྉॸ࢞ĪǞīĪယඐଞī ‫ܒ‬౳ࠫപɂၪଗ๙ൿʺʟ˃Ʌɢɥ೔࢝ఆ౺Ɉ৉ਗ౰ߤ౯ૄ ી‫ۈ‬āሆలĪॅറī࿈Ɉ૪ऋ࠰ယ࿫ູ౯Ɉᆅ‫ސ‬ᅔā‫ڰ‬āॸ࢞ൣ࿍ଞćழᆹ୐ୃĪ‫ޠ‬ᅖॸ࢞ާཡ࡙৭īࣷນā‫ދ‬౮

4:1-111ࡊྉॸ࢞ĪǞīĪယඐଞī ‫ܒ‬౳຃੪ɺʇʞɻʮĆʩʛʏʮʓˋʍĜʟĜʗɈထਗᆀᅙ ໴৮āల઺ĪॅറīɅɢɥ೔࢝ʀɺ˅ʖ˃‫ސ‬಑āॸ࢞ൣ࿍ଞćಀ៛ථცĪਡᆏࠞࣃॸ࢞ஒī826-111ࡊྉॸ࢞ĪǞīĪယඐଞī ࡜েဿ຦࢒ɍଜ‫ॄޏ‬੟ʏʢ˂ʂɬ৽ᆞȱȹঢ়‫ݭۊ‬ರཷᅼ˂ ࣷນāூྷʑʇᅅപʺʟ˃ާཡ
Īॅറīāॸ࢞ൣ࿍ଞćߐā‫܉‬ସĪ๲ᄄॸ࢞ஒī2-385-111ࡊྉॸ࢞ĪǞīĪယඐଞī ఛ˂ʺĜʠʓˋʏˋʈ଴ၭɅɢɥ೔࢝ঢை‫ێ‬૫౺દᆲɈైฤ
Īॅറīāॸ࢞ൣ࿍ଞć௄‫ݚ‬ဦॄĪය༜൥ߔī2-411-111

ᅔā‫ڰ‬

696-111
4:1-111ࡊྉॸ࢞ĪǟīĪယඐଞī ˂ʺĜʠʓˋʏˋʈࠫപɅɢɥᆊટᆹɈൣ࿍โɄୃହɈ཯ Ⴈഽā‫ݣ‬ცĪఛࡤī်ɂယ࿫‫ۊ‬Ɉණూ‫ݛ‬଴ၭɈާཡ
āॸ࢞ൣ࿍ଞć‫ۈ܊‬āఒĪ‫ޠ‬ᅖॸ࢞ާཡ࡙৭ī

4:1-111ࡊྉॸ࢞ĪǟīĪယඐଞī ഽණ๘ວ૪˂ʺĜʠʓˋʏˋʈࠫപɅɢɥ๬ી५Ɉ൥࡜ࠞ ໴৮āల઺Īఛࡤīࣃ຦ൔɈ‫ސ‬ცāॸ࢞ൣ࿍ଞć਒๿࢏ᅖĪဏ݊൥ߔī

4:1-111ࡊྉॸ࢞ĪǟīĪယඐଞī ණवȦఆ౺Ɉယ࿫ɞ౺દ౯ɒɜȹɣȳ‫ࣗ܆‬Ɉ‫ސ‬಑ĂȷɈఆ ᅔā‫ڰ‬Īఛࡤī౺ʏʷʽ˄ĜʗĜɒɈຩ໴āॸ࢞ൣ࿍ଞćੂນā‫܊‬Ī‫ޠ‬ᅖॸ࢞ާཡ࡙৭ī631-111ࡊྉॸ࢞ĪǟīĪယඐଞī ౺ߤࠞࣃ५ɅȤȫɥ DP3༏๱Ɉණ‫ۊ‬౯ɅශᄆȱȹఛȹɄᆶ ࢏౦ā৘ცණ࿎‫ૄݟ‬࿈Ɉอ‫ڨ‬Īॅറīāॸ࢞ൣ࿍ଞćठঈᄼષĪ‫ۓ‬௱൥ߔī

371-111― 141 ―ି൵ॸ࢞
KTUāDSFTUFNT ɈȹɛɈ໲ଗʟĜʗিੇ࿎‫ݟ‬ණ௫ʏʑʞʸɈ৭භ໴৮āల઺28-664-:11

KBYBāHDPN!SB൥࡜ၒ౷੟əᆌ‫ཱۊ‬ଗᆎॳ௠ၫၭɈާཡĂ࢒ɍĂᅝჶಓૄ Ⴈഽā‫ݣ‬ცౘĆ৉ਗ౰ᄵৌၪଗ࢓େᆎైฤɺ˃ʌ˂ʒʸɈާཡ

:-576-111

KBYBāHDPN!SBʈ˅Ĝʨ˃ණ௫ʨɼʂʶʑైฤĂఆ౺ˁʭʥʑૄౘȤɢɍ ߝঈāয়શ౉ʑʠ˄ʑभ৐ૄౘɺ˃ʌ˂ʒʸɈާཡɂॳ௠

9-611-111!

KBYBāHPTBU༂ಘެယ৉ʟĜʗɅɢɥ໩બ‫ݛ‬ඖ೧Ȥɢɍʹʗˋຩ୸ɺ˃ ᥓນāஶાʌ˂ʒʸɈ਒๱‫ݛ‬ĪȷɈǏī

22-111-111!

ৠ೐൥ߔğࠞࣃௐĆ഍ਗ ‫ܒ‬౳Ć੔‫ސ‬಑ʟĜʗɬ઴ᅙȱȹɺ˃ʌ˂ʒʸ‫ޜ‬ᆯණ࢝ࠞࣃߔॸ࢞ஒ੔‫ڳ‬൵

篤志9-155-111

KTU!!TBUSFQT఍ᆧ‫ڤ‬೔။௩ɬᄆૄȱȹ࡜েဿ຦ไܾ઄ɂȱɀɈ༔ࣞ။ঃ Ⴈࣕāಫ୽ɅȤȫɥഹޮ࿎‫ݟ‬଴ၭɈ৭භɂଜ‫ޏ‬ଌക

31-:18-:11!

KJDB!!TBUSFQT఍ᆧ‫ڤ‬೔။௩ɬᄆૄȱȹ࡜েဿ຦ไܾ઄ɂȱɀɈ༔ࣞ။ঃ Ⴈࣕāಫ୽ɅȤȫɥഹޮ࿎‫ݟ‬଴ၭɈ৭භɂଜ‫ޏ‬ଌക

77-149-256!

KBYB

HDPN.D0THMJ ࡐ‫ݝ‬࿈ฤஐᆅĂ࢒ɍʂ˃ʕၒ౷ɺ˃ʌ˂ʒ Ⴈഽā‫ݣ‬ცʸɈ‫ڿ‬૩‫ีޜ‬3-861-111

KBNTUFD0KBYB ੔‫ڳ‬൵

HDPN.D2ᅝ ჶ ಓ ૄ ౘĆ ৉ ਗ ౰ ᄵ ৌ ၪ ଗ ࢓ େ ᆎĪMBJ0 ᅔā‫ڰ‬
GBQBSīɂ஋‫ێ‬૫౺દᆲĪOQQīʯ˅ʘʇʠɺ˃ʌ˂ʒʸɈ৭භĪॸ࢞ʯ˅ʘʇʠī2-611-111

樋口ਡᆏࠞࣃॸğࠞࣃௐĆ഍ਗ ‫ݗ‬ଆৌ‫ݪ‬ʄʑɈ࢓༧୸ᆲࠠ૗Ʌ৐ȫȹຕਗळࠫപ‫ސ‬಑ʏʑ 市井ණ࢝ࠞࣃߔॸ࢞ஒ੔‫ڳ‬൵ ʞʸɈߊᆏ

和仁22-531-111

KBYB

TLZOFU ණ௫˂ʺĜʠʓˋʏˋʈࠫപᄀɅɢɥ HDPN.D ໴৮āల઺൥࡜ʯ˅ʘʇʠɈॳ௠

3-3:6-111!

KBYB

ಇો࡜௣‫ܒ‬౳दɬᅙȞȹ਒૪࠰ယ‫ސ‬༑ਏ౉࠲ᇦᅟ೧Ɉෆ୸ 樋口Ȥɢɍ HTNbQ ɒɈไᅙ篤志

4-1:9-488!

໲Ⴈჟೀ߰ૺ‫ޏ‬ଜ‫ܒ‬౳Ă˄ĜʘĂණ௫ࠫപɅɢɥൎᆔ‫܀‬ཡ౺Ɉࠫപ

樋৏āຼૂ

531-111!

໲Ⴈჟೀ߰ૺ‫ޏ‬ଜਗ౰ާ৏˄ĜʘĪTBSīʏʑʞʸĆTBS ‫ކ‬ജఒਖஐᆅʕ ˀʍʭɹʛʠ
ʭʠɈާཡɂȷɈܾᅙ

ࢼວॸ࢞જྐྵ๝࡙Ī߰ī௶ၡࡳ୹ ဇोപˁɼʘɬᅙȞȹʀɺ˅ʖ˃ૻ်࡙༑Ʌ࠲ȳɥॸ࢞഍ਗॸ࢞ஒ

531-111!

࢏౦ā৘ც

2-111-111!

Īਡīঈાᆵॸ࢞ާཡ࡙৭ ˄ĜʎĜ৉Ɉઢᅸɬᆀᅙȱȹၪଗ༑ᆲोപࡳ୹Ʌ࠲ȳɥॸ࢞ ࢏౦ā৘ცĽି൵ૢࣞ൥ᅣ໲બ߰ૺ‫ޏ‬ଜ˄ĜʎĜယ৉Ʌɢɥວ‫ڮ‬ൌယ಑Ʌ࠲ȳɥࡳ୹โૄຩ

࢏౦ā৘ც

611-111൤ ሕ ਡ ‫ ۧ ݦ‬හ ʓ ˋ ʗ Ĝ ൤ሕਡ‫ۧݦ‬හʓˋʗĜĪOTQPīᅙਂऋ࡙຃੪ǟʨˋʡਗ ˀʍʭɹʛʠ
ĪOTQPī
౰ާ৏˄ĜʘĪDC.TBSīɈާཡ8-644-968৊‫ੰܗ‬චၭఱණ࢝ࠞࣃಱ ိ౰3:༃๱౺ဘഽᅕ౯࢒ɍ౺ൔृʍĜʫʑɅ࠲ȳɥ‫ ߔݨ‬ી‫ۈ‬āሆలᆒॸ࡙࢞࠲โඪॽɅबɥ෮ੈࣞოɈȠȻĶJQCFT ຕߣଃ྾ଞࡳ୹โၒ
஝ଞ༯඲ķࣞო

991-111!

― 142 ―

千葉大学環境リモートセンシング研究センター
平成 29（2017）年度 年報（第 23 号）

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