Deformation in indonesia.docx

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No Authors (years) Title 1 Joshi K. Catherine, Vineet K. Gahalaut, Vipul K. Sahu (2005) Constraints on rupture of the December 26, 2004, Sumatra earthquake from far-field GPS observations Scope of study :  Use of GPS station : 9.  Area : surrounding the epicenter of the December 26, 2004, Sumatra earthquake  Purpose : To infer coseismic displacements at 9 GPS sites, To analyzed GPS data from far-field sites to see the effect of the eart hquake and to provide constraints on the rupture and slip on it .  Estimated coseismic horizontal displacements at all these sites by estimating the change in the north and east coordinates averaged over 4 days before and 4 days after the earthquake.  Software : GAMIT/GLOBK  Computation of displacement : elastic dislocation formula  Width of rupture : 100 km, justified from the observed subsidence and uplift in the A ndaman region  used homogenous half space model to analyze the far-field GPS data 2 Hasanuddin Z. Abidin, Heri Andreas, Teruyuki Kato, Takeo Ito, Irwan Meilano, Fumiaki Kimata, Danny H. Natawidjaya And Hery Harjono (2009) Crustal Deformation Studies In Java (Indonesia) Using Gps Scope of study :  Software : bernese  Use of GPS station : 20  study the activities of three active faults in West Java region (Cimandiri, Lembang and Baribis), java island.  Inter-seismic deformation of Lembang, Cimandiri and Baribis faults are derived from the position displacements as estimated from consecutive GPS surveys. More than two campaigns have been conducted, then the average displacement rates were estimated.  Fault geometry is built using okada model and genetic algorithm. 3 Manabu Hashimoto, Nithiwatthn Choosakul, Michio Hashizume, Shuzo Takemoto, Hiroshi Takiguchi, Yoichi Fukuda, and Kunio Fujimori (2006) Crustal deformations associated with the great Sumatra-Andaman earthquake deduced from continuous GPS observation Scope of study :  Use of GPS station : 22 IGS and 4 local station  Software : barnese  Remove scatter from daily position using spatial filter technique proposed by Wdowski.  Fitted the following function for time dependent afterslip derive d from the experiment of rock friction by Marone  Afterslip model for postseismic displacements

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No Authors (years) Title

1 Joshi K. Catherine,

Vineet K. Gahalaut,

Vipul K. Sahu (2005)

Constraints on rupture of the December 26, 2004, Sumatra earthquake from far-field

GPS observations

Scope of study :

  Use of GPS station : 9.

  Area : surrounding the epicenter of the December 26, 2004, Sumatra earthquake

  Purpose : To infer coseismic displacements at 9 GPS sites, To analyzed GPS data from far-field sites to see theeffect of the earthquake and to provide constraints on the rupture and slip on it.

  Estimated coseismic horizontal displacements at all these sites by estimating the change in the north and east

coordinates averaged over 4 days before and 4 days after the earthquake.

  Software : GAMIT/GLOBK

  Computation of displacement : elastic dislocation formula

  Width of rupture : 100 km, justified from the observed subsidence and uplift in the Andaman region

  used homogenous half space model to analyze the far-field GPS data

2 Hasanuddin Z. Abidin,

Heri Andreas,

Teruyuki Kato,Takeo Ito, Irwan

Meilano, Fumiaki

Kimata,

Danny H. Natawidjaya 

And Hery Harjono

(2009)

Crustal Deformation Studies In Java (Indonesia) Using Gps

Scope of study :

  Software : bernese

  Use of GPS station : 20

  study the activities of three active

faults in West Java region (Cimandiri, Lembang and Baribis), java island.  Inter-seismic deformation of Lembang, Cimandiri and Baribis faults are derived from the position

displacements as estimated from consecutive GPS surveys. More than two campaigns have been conducted,

then the average displacement rates were estimated.

  Fault geometry is built using okada model and genetic algorithm.

3 Manabu Hashimoto,

Nithiwatthn

Choosakul, Michio

Hashizume, Shuzo

Takemoto, Hiroshi

Takiguchi,

Yoichi Fukuda, andKunio Fujimori (2006)

Crustal deformations associated with the great Sumatra-Andaman earthquake

deduced from continuous GPS observation

Scope of study :

  Use of GPS station : 22 IGS and 4 local station

  Software : barnese

  Remove scatter from daily position using spatial filter technique proposed by Wdowski.

  Fitted the following function for time dependent afterslip derived from the experiment of rock friction by

Marone

  Afterslip model for postseismic displacements

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  Slip distribution is resolve by adopting a multi segment model with uniform slip to reduce number of 

parameters.

  find slips on segments by fitting observed displacements with the following smoothness condition on slips :

4 Y. Bock, L.

Prawirodirdjo, J. F.

Genrich, C. W.

Stevens, R. McCaffrey,

C. Subarya, S. S. O.

Puntodewo, and E.

Calais (2003)

Crustal motion in Indonesia from Global Positioning System measurements

Scope of the study :

  Software : GAMIT/GLOBK

  Compute strain rates within element of triangular mesh with node at GPS stations

  To quantify the regional motions relative to the major tectonic plates, we estimate rotation parameters for

the Eurasia, Australia, and Pacific plates

5 Paul Tregoning, Kurt

Lambeck, Art Stolz,

Peter Morgan, Simon

C. McClusky,

Peter van der Beek,

Herbert McQueen,

Russell J. Jackson,

Rodney P. Little,Alex

Laing, and Brian

Murphy

Estimation of current plate motions in Papua New Guinea

from Global Positioning System observations

Scope of Study :

  Used of GPS station : 20

  Software : GAMIT/GLOBK  the velocity estimates were computed from a deterministic Kalman filter solution in which the full covariance

matrix was used (using GLOBK)

  Comparing those velocities with the No-Net-Rotation-NUVEL-1A (NNR1A) global plate motion model [DeMets

et al ., 1994]

 6 Andrea Walpersdorf,

Claude Rangin and C.

Subarya and P.

Manurung

Monitoring of the palu-koro Fault (Sulawesi) by GPS 

Scope of Study :

  Software : GAMIT/GLOBK  Calculate fault from gps data processing using parameter that show at bellier et al, 1988

  Simple Model deformation to analyze vector field and detect outlier is using (savage and burford, 1973).

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