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Active tectonic deformation in Java, Indonesia inferred from a GPS-derived strain rate
a Global Geophysics Research Group, Faculty of Mining and Petroleum Engineering, Bandung Institute of Technology, 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 Elsevier LtdWe investigated the active tectonic deformation in Java using Global Positioning System (GPS) velocity data from 2008 to 2013. We calculated strain rate and estimate that, in general, Java experiences a large strain rate (> 1 microstrain/yr) with an extensional strain (∼5 microstrain/yr) associated with the ongoing postseismic deformation of the 2006 Java tsunami earthquake. A large compressional dilatation rate fault zone ( 1 microstrain/yr) was estimated along the Wongsorejo and the Montong faults in East Java, and the Lasem fault in Central Java. We show that our strain rate estimation is able to identify active tectonic regions in Java.[/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][/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]Crustal deformation,Dilatation rate,Faults in Java,Maximum shear-strain rate,Strain rate[/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]We are particularly indebted to anonymous reviewer and the Associate Editor Volker Klemann for their thorough reviews and thoughtful comments which resulted in considerable improvement of this manuscript. The authors would also like to thank Irwan Meilano for very helpful comments on an earlier draft of this manuscript. We are grateful to BMKG for providing seismicity data and BIG for maintaining GPS network. This study was partially supported by 2017 the World Class University Research Fund of Bandung Institute of Technology for National Postdoctoral Researcher . Figures were generated using GMT software ( Wessel and Smith, 1998 ).[/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/10.1016/j.jog.2019.01.004[/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]