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Vertical deformation analysis in Banda Arc deduced from GPS time series data 2008-2013
Rahmadani S.a, Meilano I.a, Sarsito D.A.a, Susilob
a Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, Indonesia
b Indonesian Geospatial Information Agency (BIG), Nanggewer Mekar, Cibinong, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 Published under licence by IOP Publishing Ltd.Banda arc is a product of complex interactions between the Eurasian, Australian, Pacific and Philippine Sea plates. As a result of this tectonic interaction, the Banda arc has undergone significant deformation of the crust, both in the horizontal and vertical directions. In this study, we performed a time-series data analysis of displacement in vertical components. A total of 16 permanents GPS observations from 2008 to 2013 were collected and analysed in this study. The GPS sites spread around the Banda arc area from Bali island in the south to Ambon in the north. This is the first research on vertical deformation analysis carried out in this area. The results of this study show that 3 GPS sites experience a subsidence, which are BANI, CAMB and CTOA, while the 13 others experience an uplift mechanism. The spatial pattern of vertical deformation obtained from this research will provide insight about tectonic conditions and can then be used as a basis for conducting seismic hazard analysis in the Banda arc.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Gps time,Philippine seas,Seismic hazard analysis,Spatial patterns,Time series data analysis,Vertical component,Vertical deformation,Vertical direction[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1088/1755-1315/389/1/012046[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]