[vc_empty_space][vc_empty_space]
Separation method of anomaly source: The time-lapse microgravity data
Supriyadia, Santoso D.b, Gunawan W.b, Sarkowic, Gunawan D.d
a Earth Physics Laboratory, Physics Department, Universitas Negeri Semarang, Semarang, 50229, Indonesia
b Geophysics Engineering, Institut Teknologi, Bandung, Indonesia
c Geophysics Engineering, Universitas Lampung, Indonesia
d Center for Research, Development of Marine and Coastal Resource, 14430, 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]© 2017 Author(s).The time-lapse microgravity anomaly survey was performed in the purpose of searching the subsurface targets to discover an anomaly caused by the survey target. To isolate the source of the anomaly, an existing filter was generally used. For this certain purpose, the filter must be constructed in a way it can receive less than the maximum results. One problem is the source of the unwanted anomaly still attached to the preliminary data. As it is known, the source of time-lapse microgravity anomaly caused by the subsidence and fluid dynamics is idencated by the increases and decreases in groundwater levels. Therefore, the survey should minimize one of these anomalies sources by adjusting the filter field conditions. In this study, the constructed filter is referred as the MBF (Model Based Filter), this filter was constructed with attention-dimensional parameter source of the anomaly.[/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][/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/10.1063/1.4991266[/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]