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Comparison landslide-triggering rainfall threshold using satellite data: TRMM and GPM in South Bandung area
Nanda Pratama G.a, Suwarman R.a, Dewa Gede Agung Junnaedhi I.a, Riawan E.a, Anugrah A.b
a Department of Meteorology, Bandung Institute of Technology, Indonesia
b Non Government Organizations Garda Caah, 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]© Published under licence by IOP Publishing Ltd.The number of landslides events in Bandung ranked fourth in Indonesia. The landslide is affected not only by the geographical character, but also by the rainfall intensity and duration. Thus, the information of the threshold of landslide triggering rainfall is important to be obtained. This study is aim to determine the threshold of rainfall in South Bandung using rainfall data provided by TRMM and GPM satellites. The satellite data is corrected by ground-observation data in three sites. The empirical method used in this study performs the relationship between the rainfall intensity and duration to the landslide event and the threshold curve obtained by lowering the regression line intensity-duration (ID) to lowest point rainfall in causing the landslide. The relationship of rainfall ID for landslide threshold is expressed in I= 2.3 e(-0.03∗D) for TRMM data, while I= 7.20 e(-0.09∗D) for GPM data. The result shows that the GPM data better than TRMM data and the analysis of measurement data showed a pattern corresponding to the observed values.[/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]Analysis of measurements,Ground observations,observations,Rainfall intensity,Rainfall thresholds,Regression lines,Threshold,TRMM[/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]GPM,landslide,observations,rainfall trigger landslide,Threshold,TRMM[/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/10.1088/1755-1315/71/1/012003[/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]