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REPORT OF SUPERVISED PRACTICUM

GEOGRAPHIC INFORMATIONSYSTEM

LANDSLIDE POTENTIAL HAZARD MAPPING

Assistant: Bowo Susio! S"Si"! M"T"

B#:

Dian A#u La$asati

%&&'()*+,*'PMU'-),./

GEO0INFORMATION FOR SPATIAL PLANNING AND DISASTER

RIS1 MANAGEMENT

FACULTY OF GEOGRAPHY

GAD2AH MADA UNIVERSITY

1


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YOGYA1ARTA

),&&

A" S3o45 A$5a

The study area location at a little part of Kulon Progo Regency

covering Girimulyo district.

B" Mat5$ia

1) Elevation Countour

Source !igital Topographical "ndonesia #ap$ Scale of 1%&$'''

(aosurtanal

%) Geological #ap

Source Geological #ap of *ogyaarta Sheet$ Scale of 11''$'''

+) Girimulyo ,dministration (oundary

Source !igital Topographical "ndonesia #ap$ Scale of 1%&$'''(aosurtanal

-) anduse #ap

Source !igital Topographical "ndonesia #ap$ Scale of 1%&$'''

(aosurtanal

&) Soil #ap

Source Spatial Planning a/oratory$ 0aculty of Geography$ G#

2) ,verage ,nnual Rainfall Station !ataSource PSP"CS$ 0aculty of Geography$ G#

%

Kalimantan

Island

Hindia Ocean

Sumatera

Island Java Sea


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3) E4siting andslide !ata in Girimulyo

P$o35ssin6 Too:

,rcG"S !estop 5.+

C" M5t7o8s

a" Lan8si85 Ha9a$8 Pa$a5t5$s

!etermination of landslide ha6ard considers several parameters

that have in7uence to landslide ha6ard occurence. There are 2

landslide ha6ard determination parameters

&" So45Slope is the level steepness represented in morphology. "n

general$ the greater level of slopes$ the further increase the

lielihood of landslides in an area. "t is also associated 8ith the force

of gravity pulling masses of roc from top to /ottom. 9igher level of

slope 8ill /e more easily attracted to the /ottom resulting in the

occurrence of landslides. The steeper of slope in the area$ the more

potential of landslides occurence.

So45 S5nsi;it#Bina$

#

Ranery lo8

sensitive

1 &1

1& : %&

<o8 sensitive

1 &%

%& : +&

<#edium sensitive

1 &+

+& : -&

<

9igh sensitive1 &

-

? -& <>ery high

sensitive

1 &&

#odi@ed from >an Auidam and Cancelado B15;&)$ Sugalang and Kholidin B15;5)$

orosuproDo B155%) and PS(,:G# B%''1) in #ohammad B%''+)$ Paimin and Suresno

B%''3)$ and =ugroho et. al B%''5).

)" T#45 o= Soi

and is the result of roc 8eathering$ 8ith large sand or clay

content$ have 8ea resistance 8hich has lo8 value of cohesion Bc)

and inside angle of shear B). "n the rainy season$ the soil

+


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resistance decrease 8ith increasing 8ater content in the soil. The

decrease is due to the soil volume e4pansion due to 8ater content.

Fualitatively$ the resilience of the soil can /e analy6ed through the

varia/le soil te4ture. Fualitative value of the land as a factor

contri/uting to the landslide occurence that is measured /ased on

the te4ture.

T#45 o= Soi S5nsi;it#Bina$

#

Ranery lo8

sensitive

' '1

Clay loam$ Silty loam atosol$

Kam/isolo8 sensitive

1 -%

Sandy loam$ Silty clay loam

#editeran

#edium

sensitive

1 -+

Sandy clay ,ndosol$ Grumusol$

Podsol9igh sensitive

1 --

Clay$ Sand Regosol$ itosol$

Ren6ina

>ery high

sensitive

1 -&

#odi@ed from 0letcher and Gei// B155')$ orosuproDo B155%) and PS(,:G# B%''1) in

#ohammad B%''+)$ =ugroho et. al B%''5)$ and Sulistiarto B%'1').

(" Lan8us5

anduse can increase the /urden that is /orned /y the lithology.

"f the /urden /orned is greater than the strength of lithology$ there

8ill occur landslide. >egetation also aects the level of slope

sta/ility. Some vegetation can increase the sta/ility of the slope

/ecause the roots can /ind the roc mass maing it more compact.

(ut some ind of vegetations that have 8ea roots can actually

reduce the level of slope sta/ility 8hich may impact on the

landslides occurrence. Too tightly crops planting can result in heavy

on the slopes so increasing the driving force of land on the slopes.

Lan8us5 %),>/

Lan8us5 S5nsi;it#Bina$

#

Ran


5/18

0ieldRice 0ield >ery high

sensitive

1 +&

#odi@ed from Paimin and Suresno B%''3) and Pur8anto and Suharyadi B%''5)

*" Rain=a Int5nsit#

Rainfall is one of the determinants of the level of potential

landslide ha6ard in the study area. "f value of rainfall is high$ it can

/e ascertained that the region is a region 8hich has the highest

potential for landslides. (asically$ to @nd out the potential danger of

landslides used daily rainfall data$ /ut data is hard to @nd then it is

used the average annual rainfall calculated /ased on its intensity.(ecause the average annual rainfall eect is not too signi@cant to

the occurrence of landslides$ it is given a value of 1&ery high

sensitive

1 %&

#odi@ed from Paimin and Suresno B%''3)$ Pur8anto and Suharyadi

B%''5)$ and Sulistiarto B%'1')

?" G5oo6#

Geology related to type of roc. The 8eather roc material is not

massive and not sta/le$ so 8ith little in7uence of the movement

8ill cause shift in position or landslides occurence. The more

massive the roc 8ithout any cracs or fractures$ the more

resistant to 8eathering processes. "t means that the rate of

8eathering of rocs getting smaller so the landslide suscepti/ility

&


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levels also getting smaller. Thus$ the physical condition of rocs is

one of the factors causing the occurrence of landslides.

G5oo6# %&,>/

G5oo6# S5nsi;it#Bina

$#

Ran


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Soi T#45"i6 @

Lan8us5"i6 @

Rain=a"i6 @

G5oo6i3a"i6 @

2. Ranking Model

3


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, raning model 8ill produce several states that depictpotentially good ha/itat areas that raned relative to each other.

So45"i6

Soi T#45"i6

Lan8us5"i6

Rain=a"i6

G5oo6i3a"i6

3. Rating Model

ses a consistent scale 8ith more than t8o states tocharacteri6e the ha/itat Bsimple average). , simple average

;

' and &

' and -

' and +

' and %

' and 1


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rating model uses a consistent scale. Each ha/itat parameter isgiven a value /ased on this scale. The @nal map depicts ha/itatsuita/ility /ased on the average of all ha/itat parameters.

So45"i6 Soi T#45"i6 Lan8us5"i6 Rain=a"i6

G5oo6i3a"i6

?

5


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*" Lan8si85 Ha9a$8 Possiiit#

&" Muti;a$iat5 Ana#sisEsitin6 Lan8si85"i6

1'

Si6natu$5

Lan8si85


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)" Lan8si85 Pa$a5t5$ Ana#sis

11

R53assi=

Coin5


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TABEL

&" So45

1%

No

Lan8si85P$oaiitas

So45 F$5u5n3#P5$35nta65

%>/

1

1;&&+

':;< 13;5 5$2-

;:1&< +5%1 %1$1+

1&:%&< -11% %%$12

%&:+&< -%5- %+$1-

+&:-&< +&32 15$%3

?-&< ;21 -$2-

%

525&

':;< ;;2 5$1- ;:1&< %%+5 %+$'5

1&:%&< %;5+ %5$;-

%&:+&< %'%; %'$5%

+&:-&< ;;& 5$1+

?-&< 32- 3$;;

+

1;'&3

':;< &'- %$35

;:1&< 15%- 1'$22

1&:%&< +&;3 15$;2

%&:+&< &&12 +'$&&

+&:-&< -;%' %2$25 ?-&< 13'2 5$-&

-

12'-;

':;< 15' 1$1;

;:1&< 3'1 -$+3

1&:%&< 1;&% 11$&-

%&:+&< -&%& %;$%'

+&:-&< 2512 -+$1'

?-&< 1;2- 11$2%

&

+2-+

':;< 1%; +$&1

;:1&< +%' ;$3;

1&:%&< -55 1+$3' %&:+&< 3&' %'$&5

+&:-&< 5-+ %&$;5

?-&< 1''+ %3$&+


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)" T#45 Soi

NoLan8si85

P$oaiitasSoiT#45

F$5u5n3#

P5$35nta65

1

1;&&+

Regosol ;;1+ -3$&'

Grumusol +;%3 %'$2+

atosol &51+ +1$;3

%

525&

Regosol 115 1$%+

Grumusol 1'1% 1'$--

atosol ;&2- ;;$++

+1;'&3

Regosol 1%5 '$31

Grumusol -5' %$31

atosol 13-+; 52$&3

-

12'-;

Regosol 1-- '$5'

Grumusol 15- 1$%1

atosol 1&31' 53$;5

&

+2-+

Regosol -1 1$1+

Grumusol -3 1$%5

atosol +&&& 53$&;

(" Lan8us5

NoLan8si85P$oaiitas

Lan8us5F$5u5n3#

P5$35nta65 %>/

1

1;&&+

Settlement -12& %%$-&

S,,9 "R"G,S" 2+ '$+-

S,,9 T,!,99J,= 3;5 -$%&

GR,SS ,=! 35%' -%$25

G,R!E= &-'% %5$1%

(S9 &2 '$+'

GR,SS 2& '$+&

,TER 5+ '$&'

% 525& Settlement 23+ 2$5-

S,,9 "R"G,S" ' '$''

S,,9 T,!,99J,= -5' &$'&

TEG,,= -1'; -%$+3

KE(= -+2' --$53

(EK,RSE#,K -+ '$-- R#PT 1& '$1&

1+


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,"R T,,R 2 '$'2

+

1;'&3

Settlement 1%+5 2$;2

S,,9 "R"G,S" ' '$''

S,,9 T,!,99J,= +-2 1$5%

TEG,,= &2'+ +1$'+

KE(= 1'23% &5$1'

(EK,RSE#,K 1;& 1$'%

R#PT 1' '$'2

,"R T,,R % '$'1

-

12'-;

Settlement 1'&' 2$&-

S,,9 "R"G,S" ' '$''

S,,9 T,!,9

9J,= 3& '$-3 TEG,,= +512 %-$-'

KE(= 1'51- 2;$'1

(EK,RSE#,K ;% '$&1

R#PT 11 '$'3

,"R T,,R ' '$''

&

+2-+

Settlement +%5 5$'+

S,,9 "R"G,S" ' '$''

S,,9 T,!,99J,= & '$1-

TEG,,= 1251 -2$-% KE(= 12'; --$1-

(EK,RSE#,K 1' '$%3

R#PT ' '$''

,"R T,,R ' '$''

*" Rain=a Int5nsit#

NoLan8si85P$oaiitas

Rain=aInt5nsit#

F$5u5n3#

P5$35nta65 %>/

11;&&+

1&'':%'''mm 13-;' 5-$%%

%''':%&''mm 1'3+ &$3;

%525&

1&'':%'''mm 5-'2 53$'%

%''':%&''mm %;5 %$5;

+1;'&3

1&'':%'''mm 12'%- ;;$3-

%''':%&''mm %'++ 11$%2

- 12'-; 1&'':%'''mm

5;'- 21$'5

1-


15/18

%''':%&''mm 2%-- +;$51

& +2-+

1&'':

%'''mm ;1+ %%$+%

%''':%&''mm %;+' 33$2;

&. G5oo6#

NoLan8si85

P$oaiitasG5oo6#

F$5u5n3#

P5$35nta65 %>/

1

1;&&+

"ntrusive rocs B#iocene) %-- 1$+%

Clastical limestone B#iocene:Pliocene) 12& '$;5

Reefal limestone B#iocene:Pliocene) 2;% +$2;

Colluvial deposits BFuaternary) %&% 1$+2

Sedimentary rocs BEocene) 1'-5 &$2&

,ndesitic volcanics BHligo:#iocene) 12121 ;3$11

%

525&

"ntrusive rocs B#iocene) 15 '$%'

Clastical limestone B#iocene:Pliocene) ' '$''

Reefal limestone B#iocene:Pliocene) 3+& 3$&;

Colluvial deposits BFuaternary) -% '$-+

Sedimentary rocs BEocene) %12 %$%+

,ndesitic volcanics BHligo:#iocene) ;2;+ ;5$&2

+

1;'&3

"ntrusive rocs B#iocene) + '$'%


Reefal limestone B#iocene:Pliocene) +&+& 15$&;

Colluvial deposits BFuaternary) 3 '$'-

Sedimentary rocs BEocene) 1'1 '$&2

,ndesitic volcanics BHligo:#iocene) 1--11 35$;1

- 12'-; "ntrusive rocs B#iocene) 1 '$'1


Reefal limestone B#iocene:Pliocene) +;'5 %+$3-

Colluvial deposits BFuaternary) & '$'+

Sedimentary rocs BEocene) +% '$%' ,ndesitic volcanics BHligo: 1%%'1 32$'+

1&


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#iocene)

&

+2-+

"ntrusive rocs B#iocene) ' '$''

Clastical limestone B#iocene:

Pliocene) ' '$''

Reefal limestone B#iocene:Pliocene) +-2 5$&'

Colluvial deposits BFuaternary) ' '$''

Sedimentary rocs BEocene) 3 '$15

,ndesitic volcanics BHligo:#iocene) +%5' 5'$+1

REFERENCE

ESRI ArcGIS Desktop Web Help.

Mohammad, Mustapa Ali. 200. !a"ia# $o#a !ere#ta#a#, %i#&kat 'aha(a da# Resiko

Geraka# %a#ah 'erdasarka# )e#&&u#aa# *aha# u#tuk )ermukima#, )ersa+aha#,

da# ala# terhadap R%RW !abupate# !ulo#pro&o. Graduate Thesis. Semara#&-

Graduate )ro&ram o /rba# Deelopme#t E#&i#eeri#&, /1DI).

1u&roho, eri Ardia# et. al. 200. )emetaa# Daerah Ra+a# *o#&sor de#&a#)e#&i#deraa# auh da# Sistem I#ormasi Geo&rais. Undergraduate Thesis.

Suraba(a- Geomatic E#&i#eeri#&, I%S.

)aimi# a#d Sukres#o. 2003. Aplikasi )ema#aata# Data !arakteristik DAS u#tuk

Miti&asi 'e#ca#a 'a#"ir da# %a#ah *o#&sor. Paper . akarta- 'alitba#&, 4orestr(

Mi#istr(.

)ur+a#to, %auik Her( a#d Suhar(adi. 200. Landslide Risk Spatial Modelling using

Geographical Information System. 5o&(akarta- 4acult( o Geo&raph(, /GM.

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Respati, 5o&i Sakt(a# et.al. 200. A#alisis GIS terhadap Geraka# %a#ah di Girimul(o,

!ulo#pro&o, D.I. 5o&(akarta da# !a"ia# 4aktor64aktor )e#&o#trol#(a. Journal .

5o&(akarta- Geolo&ical E#&i#eeri#& Departme#t, /GM.

Sulistiarto, 'a&us. 2070. Studi %e#ta#& Ide#tiikasi *o#&sor de#&a# Me#&&u#aka# 8itra

*a#dsat da# AS%ER. Undergraduate Thesis. Suraba(a- Geomatic E#&i#eeri#&, I%S.

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