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Extremes of residual water levels in the West of Java Sea, Indonesia
Poerbandonoa, Handoko E.Y.b, Adytia D.c
a Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, 40132, Indonesia
b Geomatics Engineering, Faculty of Civil Engineering and Planning, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia
c School of Computing, Telkom University, Bandung, 40257, 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]© 2018 Author(s).This paper discusses extreme magnitudes of residual water levels and their probabilistic behaviors. The study area is situated in the west of Java Sea, NW of Java Island. The discussion relies on recent two decades’ Sea Surface Height (SSH) from two offshore points of observation in the west of Java Sea and Water Level (WL) from a tide station in Tanjung Priok port of Jakarta. The dataset of SSH is obtained by satellite altimetry on 10-day basis observation, while WL is recorded on hourly basis. Residuals are extracted from SSH and WL by removing their mean values (i.e. Mean Sea Surface, Mean Sea Level) and the tide. They range within the order of sub-meters. These count already for at least one-third of the tidal amplitude in the region. To these residuals, their mean and extreme patterns are explored. The chances of positive residuals are at least tripled with respect to the negative ones. The nearshore point, i.e. Tanjung Priok, experiences a greater magnitude of residuals than those in the offshore area. Here, we apply Generalized Extreme Value (GEV) and Generalized Pareto Distribution (GPD) methods respectively for Block Maxima/Minima (BM) and Peak Over Threshold (POT) samplings of residuals. It is found that, the extreme positive and negative residuals at 100-year return period are within less than ±1 m in Tanjung Priok and just less than half-meter in the offshore area. While higher residuals are observed during the East monsoon in the offshore area, Tanjung Priok experiences higher residuals during the West monsoon. This is thought due to the prevailing wave fields, which are governed by the monsoonal winds.[/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/10.1063/1.5047366[/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]