Landslide Susceptibility Analysis in Janghung Using Spatial Relationships between Landslide and Geospatial Information
11
0
0
전체 글
(2)
(3) . . . . .
(4) . . . Landslide Susceptibility Analysis in Janghung Using Spatial Relationships between Landslide and Geospatial Information Saro Lee1*, Kwang-Hoon Chi1, No-Wook Park1 and Jin-Soo Shin2 1. National Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources, Daejeon 305-350, Korea 2 Chung-Ang Aerosurvey Co., Seoul 110-100, Korea. The purpose of this study is to analyze the landslide susceptibility, containing the process, which reveals spatial relationships between landslides and geospatial data sets, which occurred in Janghung area in 1998. Landslide locations were detected from remotely sensed image and field survey and topography, soil, forest, and land use data sets were constructed as a spatial database in GIS. As the landslide occurrence factors, slope, aspect, curvature and type of topography, texture, material, drainage and effective thickness of soil, type, age, diameter and density of wood and land use were used. To extract the relationship between landslides and geospatial database, likelihood ratio was calculated and compared with the result of Yongin area. Also, the landslide susceptibility index was calculated by summation of the likelihood ratio and the landslide susceptibility map was generated using the index. As a result, it is expected that spatial relationships between landslides and geospatial database is helpful to explain the characteristics of landslide and the landslide susceptibility map is used to reduce associated hazards, and to plan land use and construction.. landslide, susceptibility, geospatial information, GIS, Janghung.
(5) !"#$ % "&'( )*+ '$ ,- ./ 012 345 67 89 :; <=>(? @ ! +$AB$C D EF G4 H E $IJK9 L=>- DJK M. NO EFJK EP EF QR EF ST UV EW G4JK G4 3X X H Y9 $I=>- 5 !"#$ %Z [\9 $I=] "&'( ^_=>(? I`
(6) a5 \b9 =>- cde Zf [\9 $I=]
(7) gh i R9 <=>- a 5 5 Yj %k$ , !"#9 ^_l R ,m(? $n a5 o; pM . MTq rEs Zt u vJK $Iw R , x$ D !"# d"#yCz . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ; * ! < <=> $ 4?" 5# @ ! A8B '9 6 5# @C D# 5# E " DA FGH I> C JKL 7> M N OP4 QR S 4: 4 TU!V " WXY Z[> ; QR\4 ]3 ^_ Z[K `a4 89 ': 4 0 40H b,c de& 4 . ! "# $% & ' ( ) *+" ,) -! ./)0 10 $23 40 5# 6 74 $89 ': . . . . . . .
(8) . *Corresponding author: [email protected]. . . . . . . .
(9) 4 &8Br : st H fg2 7> fg " hiY Z [4 j H $E" k l H ^_ M 4" f\> M mn! oP pk ; YP j\4 q Zr4 ! " 4 ' M W! ] : st pk WuH vw" x,! < { ¡¢ £A3 W! < ¤ D#V Q& y l C 1KYz0 P42{ |&% & 'z Y ! #¥: 6 ¦Y \ 3 ,}\ l ~ |8B PD ~89 Z[ D#V ^_ § C # H 'z3 yH" ! " Z[4 j M" f\ Z[W" Y> ¨ QR2: 4 ': +V $E" ~ +V © !V H ^_ M H 4 j23 M N OP" hWC " f\ Z[ l 4C # \ Z[2 ª: <TE> « - ./)! "# & ' 4: \ Z[ D#V )Yz0 7> $ ,K ¬ <0 2ª: © $W fg R Z[2 r 23 4C " ®V W I4 )Yz0 $ z0 $W fg ^_ M C DAC D\¡TW v ¯C # mn2ªz3 #r : ;9 ^_ M C 4P2 $W fg4 ' ^_ M C x Yz0 \ Z[ &2K D M ,!V (4 °40 2ª: ;9 . . . . . . . . . . . . . . . . . . . . . . . Flow chart of the study..
(10)
(11) $DAH ^_ M 4" f±C )O Ô p0 ! #¥: C 4P2 Yz0 mn2 H fg ^_ C 2K D2 ª9 mn C z0 H ^_ QR fg ya &.2ª: &. GÕ y M 4" f±C #[2ª: : E!" Y Ö0;× 4P2 M (4 °4 P j\ ¤²2K D2 « P !V $ 0 2ª: y0V C Z[ 40H b,c H O³ &AC yØx ? ÀÙ" W uÚ &AÄ Z[ &2ª: ;9 ´µz0 4 )O 9GÛ ¹\2ª: 4Ü{ ¹\ &AÄ9 C G¶ ·2 \ Z[2ªz3 ; GÛ0¾ , ¸D ÝÞ ß WC ¸z0 ¹\2ª: ¹\2ª: , " KàKC ¸D ¸4 áA ¢ ^^ *âã : ÝÞ" ,) ä Kåz0 æ" äz0 ç . &è ,¸" éê *âÀ3 º" ä E ¬E> ET ,K º1» z0 ç&è ,¸" ëè > , ¼[¸ ½¾H ¬¸ ¿¾ " ¾ V¾H 1À¸ ¸" ìí *âã: îTy0 ¾C ÁÂ2 E43 Y ÃÄTz0 Å, îT0¾ îT _ï îT ,ð îT ¿D DA: ¡ð îT ñC 2ª: îT _ï * 4 E!V « ÆÇ ,K ¿¾! ÀÈ . ò" _ïC îT ,ð *ò - îT ¡ð *ò" &ó îT ñ *ò" ñC ^^ /)! "# 7> $2ª: 0 ô²º0¾ ² ² 2 7> S_H É $2 Ê5#C | *âã: 6 º õ& ²º Gw oh²ö ²º C ¹ Ëz3 w5# Ì: ¯ « Æ K 4 E! <# ) $ \2ª: ²> ²º | ]K! "# Zï 4 DA ÍÎ &2ª: 4C D2 $ 4 3 Gw ²º4 B÷ øTz0¾ \8Ë C õ& ù" õ& C oh²ö> ²º" oh¶ ? M#T Ï> H ¡T 4P2 DAC Yz0 k2ª úC > ²º4 ZÁ E" ^^ *â ¡T Zï2 ² : ;9 D\¡T 4P2 k $ ã: ´µz0 DA" ~\ ÐÑ2K D2 S} $ 4PC ¹\2 (4 °4C 2ª: E" vÒC &2 DAC ¹\2ª y" ,) © E> ½Åû" M" üýø : ¹\W BÓ 43 }þ29 <¾Z ÿ´øz0 4B 'K ! 92 : GÕ y" M#T D GIS data layers. A kC D# P8Ë "( ¡T" #T ' 4. ' 4. + ,. . !" # !$
(12) " . . . 1"5 .. . 2 . . . . #'. . . 63/. . . . . . . . . . . . . . . . . #'. . % &'% () &*. . +) &,+*(+) &,%*. . . . . . . . . . . . . . . . . %. #'. . ). . . . . . . . "(. -./012. . . 3.. . . . !15612 2/. . . +'. . . Type Landslide location data. Data set Landslide location. Topographic data. Slope Aspect Curvature. Forest data. Topographic type Wood type Wood diameter Wood age Wood density. Soil data. Soil Soil Soil Soil. Land use data. Land use map. texture drainage material effective thickness.
(13) Landslide location map draped over shaded relief map..
(14) Ô 0 \2ªz3 E" p & E" 4C Yz0 ¾^ *â & ' 4 ': )O : &è ; \!V" 0 0 4: $ j\4 æ "£23 : ¹&è
(15) $ j\4 > "£: © !V )OC ±2K D2 0 M (4 °4" ^ 1} Yz0
(16) &2K D#V :æ 0 & ZÁC *âÀ ±Z%Ä C ¹\ ? ^ R " D > _ï0 W I> 4 QR2{ : ) ^ M ! "# s 4 " & 'z3 £" $ oò! < ¸Y Oi 2ª: ;9 K $ H Å ¯2!V B ^ 1}" D > _ï0 E ¦ !V & ': 4: 4 $2 > E" ¸Y Oi l ! K ¶B $ W $ E" ¸Y Oi ^^ ±2 )O M H" f\> $ > $2 C 2ª: 4Ü{ ± ^ 1}" D > > EW M H" f±H 4 8Br _ï0 ± )OC 40H b,c ! : 4 Yz0 Äv2K D2 ) "# Z[ P E! < WC Âú Z[2 H M H" f\ :æW I4 OC P2ª: )O B÷ 4 s \!V B* O³ Z[2ª: ~Þ! < B ~Þ" O0 "8 ( . " ,)! YP% ,) :æW ! 7> ¡¢ 1 R " 2 I4 Äv & ': BÓ B* s M " \ + * Y R ( © !V &AÄ9GÛ 9 \ !V" )O " f±0 0¾ mn , ¸D ÝÞW ² ¾ ¯¾ ~Þ" O0 Äv: $ º0¾ mn _ïC 92ª: © E ¬" ,) ,^ W $2 > !V M. " & 4C ¯¾ ~Þ" O0 Äv2{ 4 &è $~Þ )O { *â : ^ M ! "# s 4 " z3 st 4T!V 10 $ z0 *â & ': 2! 4 ¯¾ ~Þ" O z3 )O 6 : ]{ *â* 4 ,^ 4 \ *âÀ ( 'BV $EW £$ T!V 74 $2ª: P E" ,) , ^4 &è !2{ )O ä4 2 ªz3 4T!V )O ") { * â : 40H b,c 6 74 $% & ' ,^4 <ô 4T z0 f #8Ë ( ¬E!V ' 4T!V 7 . '4. ' 4. ,%. . . . %, . . . . . . . . 8 89. . . . .
(17) . . . . . . . 7 4(. . ,. . 1. 1. . . 7. 7. . +. . . . ,. . '. . . . . . . . . . . ,. . . . . '. . A Venn diagram summarizing the spatial overlap relationships between the map pattern B and the landslide pattern A (modified from Bonham-Carter, 1994).. . Empirical frequency distribution with respect to slope..
(18)
(19) . . Likelihood ratio of slope layer.. Empirical frequency distribution with respect to curvature.. Empirical frequency distribution with respect to aspect.. Likelihood ratio of curvature layer.. : EYz0 ,- ð, E4 ¯* ±Ý ß! "# . " ¢z0 /2 , ^W ¸4 V0 f8B *â & 'K ! ½û ¸4 01 E!V *â & ': S W fg4 ' W 2P ß H f4 ' 323 H ¸D! < f± : EW" O³ · QR2:9 ÐÑ: ÝÞ" ,) $ EW $2 > E!V" ~ÞZÁ u" O4 ºT 49 ': )O ÝÞ4 !V L" D!V : q ä *âÀB 4 D! V 10 $ z0 *â : ¬E" )O ÝÞ4 ìì E öz 0 <5z0 *â ( < 0 ÝÞ4 æ ¾Z4 º ¾Z : T<Yz0 ä4 · q ºT 49 ' ( Yz0 . /) ,¸4 éê%&è ù · 74 é6Å* & 'K ! · $% z0 $^: P E" ,) ÝÞ 4 æ" ä!V ä4 ¹0&è )O 2ª9 ëè ,¸!V ä4 < Yz0 ¹{ *â : 4 W0 ë ,¸4 ëè 4 C $7 :9 Ñ & 8 z0 ÐÑ: . . . . +. . . . Likelihood ratio of aspect layer.. . 4 $2K ¹ z0 Z[8Ë: 4 ºT > > ,!V . /) $% & ': "£2 4: ¸D" ,) Å ½Å ½ ½V û!V 10 $2ª ( 4 Yz0 $> Yz0 ¸ D0 ¯M 4! " ²$À" 2&" DA K ø" %ü. &$" $'40 # ¸ D ½¢ " () ¿¢" : 7:+ W ²*. wyD+ÿ H ¾8 ºT4: ; * P E" ,) 4H <0 ¿ ¿Åû4 ) O z3 ½û ½Vû4 )O { *â . . % ). . . . . . . . . . . . . . . (. . . . . . . . . . . . . .
(20) . . Empirical frequency distribution with respect to topography.. Likelihood ratio of soil texture layer.. ®z0 )O { *â : ¸ YU> ²C Á ²> )O { *â : Yz0 ø À ù" 4Å4 ?9 @& 6 A 4B ,) 74 $23 \Z! + ý)! "# Áü8 / *â* $! ]{ ¡¢ £A{ : de& © E" W ²º | ]KH fg z0 ÐÑ 8 ( ø[ Á ²º" ,) ²º | 4" BÞ4 V ù 74 o2u* Cá{ % & ' BV )O > z0 ÐÑ: P E" ,) ç4 7> º² D 7> º² l º² ß!V )O { *â z3 º² . . . . . . . Likelihood ratio of topography layer.. _ï" ,) Î!V 10 $ z0 *â ( 4 P E " WH A23 _ï ,^W ñ9 fg4 'z:0 ,^! + 4 W * â :9 ë & ': . . . . . .
(21) . H ²ºW" f±C ,- K D2 ² ²º õ& ²º Gw oh ²öW" f±C Yz 0 Z[2ª: ²" ,) ø;²!V )O ]{ *â z3 ø[<n =Y² . . . . . . . . . + . .
(22) Empirical frequency distribution with respect to soil texture.. Empirical frequency distribution with respect to soil drainage.. Likelihood ratio of soil drainage layer..
(23)
(24) l º² ß!V )O { *â : 4 W ¬EW A: ²º õ&" ,) õ& ") º/ ,)!V )O > z0 *â : Yz0 . /) õ& D &è ù" C- ¯2 ²º4 ù 74 ÁÂ2 4 0 # )O 0 ( P E" , ) õ& D &è )O !4 { *â : Empirical frequency distribution with respect to ²º Gw" ,) \ø EY$ soil effective thickness. !V )O { *â z3 \ø (Y l =Y$!V )O { *â : P E" ,) ÿ´ø l ÿø EY$!V )O { *â z3 ÝM l 2\ FY$ (Y $ ß4 )O { *â : ² () ? ¢? ! · # 4 Y4* © !V ~Þä4 ¹{ *â*V 4! < f± QR z0 y: oh ²ö" ,) S} ²º ¶ úH :á* S} ²º ¶úC % & ' y Likelihood ratio of soil effective thickness layer. 8B oh ²ö ²º ¶úH O§:9 ÐÑ29 4P2ª: Z[ W oh ²ö4 G&è )O { *â : 4 . /) ²º$4 Hz¸ I ù4 Áü8B ù õn2K ¦! () j\4 09 <0 ²º$4 ¶J)¸ ù 7 4 o% & '9 6 ± ù õn2:0 ; K () j\4 YB 4 WC å:9 ÐÑ : P E" ,) ¬EW ´L 0 oh ² ö4 G&è )O { *â : . . . ,. . '. . . . % ). . . . . . . . . . . . . . . . . . H îT fg R z0 îT ¡ð ,ð l ñH" f±C Z[2ª: îT" ,) M*òN!V )O { *â z3 OP&QhN ROQ N l K:*òN ß!V { *â : 4 . . . . Empirical frequency distribution with respect to soil material.. . . . Likelihood ratio of soil material layer..
(25) Empirical frequency distribution with respect to wood type..
(26) . .
(27) Likelihood ratio of wood type layer.
(28) Empirical frequency distribution with respect to wood age..
(29)
(30) Empirical frequency distribution with respect to wood diameter.
(31) Likelihood ratio of wood age layer.. ý:9 ÐÑ: +V . /) T9" 4! ù" Â& jN l [" N" 40 # T9 Y&è )O q z0 Ð Ñ: ¡ð" ,) ¡ð4 Y&è )O { *â ( 4 W P E" WH A: ¡ð!V ¡ð> «$ *ò" o Oi4 4T ¡ð> «$ * ò" o Oi4 4T ¡ð> «$ *ò " o Oi4 4T ¡ð> «$ *ò" o Oi4 4T ¡ð> «$ *ò" o Oi4 4T ,)! #¥: 4 *ò" *4! + R& Z}#1 ĸ Y9 ' . H X" / 4 *V . /) ù " Â& jN l [" N" 4C o\ z 0 ÐÑ: 4 40 #V ¡ð4 Y&è )O { *âÓ z0 ÐÑ: ñ" ,) ñ ¹> E : > E!V )O { *â : . Yz0 ñ &è )O 0 ( © E" W <8 ºT 4 ( P E" ,) ´L WC 1Ë: ) . . , ' .
(32) Likelihood ratio of wood diameter layer.. . . ':. W P E" WH A23 Yz0 RP &N!V · 7> $:9 9 W S, H < 0 A2 W4: ,ð" ,) A& E4 ,ê E : )O { *â : A& T 9 U, £ " *ò" o Oi4 42 49 ,ê> T9 U,4 £ " *ò" o Oi4 42 ,)4: Yz0 ,ð 4 &è $& VBW vTW A 2ªz3 P E" WH A2ª: 4 *ò " T9 &è *ò ]9 6 X 74 / 8B ' ( &$4 ĸ Y9 'BV R& Z} 29 X! "# ¹PW ɹPz0 ²" ýC . %. . +. . % 84. . ':. %;% 84. ':. . . . . ':. ':. ':. (. . +. ,. '. ':. (. (+. +(,. ,('. . . . % ). . . .
(33)
(34) . .
(35) Empirical frequency distribution with respect to wood density..
(36) Likelihood ratio of land use layer..
(37) Likelihood ratio of wood density layer.. ^ 1}" D > _ï! < )OC ± :æ )O" \ & C ±2ª: \ & 40 H ! "# }* 4P2 A 1fYz0 1 9 G¶ 0 I{ 1B ^ 1} " )O" ä _Yz0 Äv2K D2 & W I4 ±2ª: . . !#. !
(38)
(39) 8 9
(40) <. . . ! . / .
(41). . . . . Σ!". !=. . ^ R " D > _ï )O & & 4P2 ± \ & ! }2ª: ;9 ± \ &" K_ $ `Ê2 jN Yz 0 Äv2K D2 }* m jN ±2ª: m. jN ±2K D2 \ & ä" T<Y ®D C ±2 0 ä wZï2 ; D! ÁÂ8 K_ $ DA" a &C ±2 T<Y Oi ±2ª: T<Y ® DC P% ,) ^ D E ¦ !V 2 Oi4 IK ! V0 O³2K! &Æ23 : GÛ P2 ± WH O³% & ': m jN {8¸ \ & > ,) ®D > ¾Zz0 ç&è 74 $8Ëæ ~ % & ': . !" #. . . . +. .
(42) . 88 . . 2 . .
(43) Empirical frequency distribution with respect to land use.. *+ &_> hW Y> &_4BV ñ 0 i4 > 4 0]K ! 40H b,c : E y! < Z[ 4 R: . . . . H ²4PW" f±C ,- ¸ N!V )O { *â*9 * < ^ Ç ß" ®z0 E!V )O 0 ºT ª: 4 10 ! V $2ª9 W fg2 , > E ! #¥8K 4+9 ÐÑ: . . . . . . :. . . . . . +. . . . . $. . . © !V ,K ¬E <Tz0 2 M H H" f\ Z[ &2ª: ) D\¡TW v¯C # DAC ÍÎ .
(44) . . Landslide susceptibility map using likelihood ratio.
(45) Relationship between landslide susceptibility index rank and landslides. Landslides. Landslide susceptibility rank. cell count. portion (cell count/3084, %). 0%-10% 11%-20% 21%-30% 31%-40% 41%-50% 51%-60% 61%-70% 71%-80% 81%-90% 91%-100%. 23 67 98 217 207 248 367 480 589 788. 0.75 2.17 3.18 7.04 6.71 8.04 11.90 15.56 19.10 25.55. total. 3084. 100.00. Portion of landslides with respect to landslide susceptibility index rank. . . . 29 ô²º îT ß x,!V (4 °40 2ª: KV $ R , ¸D ÝÞ ß> !V ² Gw õ& oh²ö ß> ² º!V îT ,ð ¡ð ñ ß> îT!V ø T> ²4P> ¡T Zï2 mn2ª: 4Ü{ (4 °4C 4P2 )OC 4P2 H" f\ Z[2ª #'. #'. #'. . . . . . . . . . . . . !
(46) 2/. . z3 K Z[ P E" Z[WH O³C 2 ª: ;9 ± )OC 4P2 \ &C ±2 \C ¹\2ª: M H H" f\ Z[ W ¬ E" W P E" WH ¸D ß }þ29 < 0 A2 ºT ª: y" ,) ¸, 4T ,) ¸D ½¢ ,) ÝÞ4 æ ,) $~Þ )O : ²ºy" ,) õ& D&è oh²ö4 G&è )O : ;9 îTy" ,) &_4 M*ò ,) ,ðW ¡ð 4 &è )O { *â : ;b(. . . . . . . . . . . . . . . . . .
(47)
(48) ¸D!V P EW <" ºT4 *â z3 Y e:¸ f M! îT ñ" ,) ñ > ,)! )O
(49) l ! K % & ' z0 $^: { *â ( 4 ¾Z! <#V : E" y Z[4 R8 ¾Z4: \ ¹\W K_ $y |}~ ]
(50) I`
(51) ¦ C P2 ¹\ _" m. ä {I0 ! #¥8 (
(52) D#V â¥\ ¤ R
(53) r @ - 'I.5 !"#9 $I p \b eib . W. 4 QR2: 4 WC z0 fg 1}a! <#V : E $ .
(54) d"#yCz
(55) $I s H 'I ib { l : M " &
(56) l
(57) . W" â¥\ ¤! < e8Br % $
(58) ! +$AB$C9 $I 4: I`
(59) iJ0 P © C # H M M" f±C
(60) r `5 p % ÍÎ% & 'Ëz3 n W Z[! 0ib {. .
(61) " [_ Yz0 OP8K D#V ¦ <Tz0 EP"TK.0 $ E! <# YP l Z[4 4Br 2
(62) ! " #$# 3 Z[! R ¾Z 2 # " #! ##% & '' ( ) $ y" ~ DA 4 c+r % 4: * & ++ ,
(63) )++ ' $ & ! Sd 9#T ¡T" ð4 ~<e! + & '# " '&#' & -& ) ! . / 0 # 1 2
(64) ! R y K_ $DA ¡T #V ~2{ & ' z0 K<: © 3 & 4 5
(65) # !' '$# # " '&#' & #*#! + ' $ $ 4 .1 ' ' ! P ²º îT ß" M $ ##
(66) 4£ ¦ <Tz0 <¾Z 8B ' T 4K ! M H $W" f\! < 0ejR T` . . . 4 . .
(67) 8 . >
(68) . . . . . . . . .
(69)
관련 문서
