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Extreme ocean wave which occurred in Indonesia’s region can disturb human’s seas activities moreover can cause accident of ship with a lot of victim. The risk can be decreased by understanding the wind field as the generator force of ocean wave and also understanding the wave field characteris...

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Main Author: RAMADHAN (NIM: 12910035), HANI
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/18592
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:18592
spelling id-itb.:185922017-09-27T11:47:23Z#TITLE_ALTERNATIVE# RAMADHAN (NIM: 12910035), HANI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/18592 Extreme ocean wave which occurred in Indonesia’s region can disturb human’s seas activities moreover can cause accident of ship with a lot of victim. The risk can be decreased by understanding the wind field as the generator force of ocean wave and also understanding the wave field characteristics, so that seas activities can be premeditated by considering the ocean wave characteristics in the region. <br /> <br /> <br /> <br /> <br /> <br /> <br /> The object of this study was located in coordinate 90o E - 120o E and 23o S - 20o N which surrounds eastern Indian Ocean, Java Sea, South China Sea, and Andaman Sea. The alteration of wind field whether in the direction or the speed will affect the ocean wave seasonal or interannual variability. Various interannual phenomenons such as IODM (Indian Ocean Dipole Mode) and ENSO (El Nino Southern Oscillation) interact with monsoon which cause interannual ocean wave variability in the study object. <br /> <br /> <br /> <br /> <br /> <br /> <br /> The analysis of ocean wave variabilities was conducted using 36 month of wave spectrum model SWAN (Simulatin Waves Nearshore) simulation result. The model inputs consisted of wind field data from CCMP (Cross Calibrated Multi Purpossed) and bathymetric data from GEBCO (Global Bathymetric Chart of Oceans). Verification of model using buoy data from Seawatch project BPPT (Badan Pengkajian dan Penerapan Teknologi) and altimeter satellite TOPEX indicated well enough model result. <br /> <br /> <br /> <br /> <br /> <br /> <br /> EOF (Empirical Orthogonal Functions) analysis produces 6 modes that represents 95% of total variance that influence the wave height variability in the entire model domain. Mode 1 was dominated by annual monsoon and has spacial dominant contribution in South China Sea and Indian Ocean. Java Sea was dominated by Mode 2 that controlled by six monthly monsoon. ENSO effect in Mode 1 was identified in South China Sea, whereas IODM effect was identified in Mode 1 at Indian Ocean and in Mode 2 at Java Sea text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Extreme ocean wave which occurred in Indonesia’s region can disturb human’s seas activities moreover can cause accident of ship with a lot of victim. The risk can be decreased by understanding the wind field as the generator force of ocean wave and also understanding the wave field characteristics, so that seas activities can be premeditated by considering the ocean wave characteristics in the region. <br /> <br /> <br /> <br /> <br /> <br /> <br /> The object of this study was located in coordinate 90o E - 120o E and 23o S - 20o N which surrounds eastern Indian Ocean, Java Sea, South China Sea, and Andaman Sea. The alteration of wind field whether in the direction or the speed will affect the ocean wave seasonal or interannual variability. Various interannual phenomenons such as IODM (Indian Ocean Dipole Mode) and ENSO (El Nino Southern Oscillation) interact with monsoon which cause interannual ocean wave variability in the study object. <br /> <br /> <br /> <br /> <br /> <br /> <br /> The analysis of ocean wave variabilities was conducted using 36 month of wave spectrum model SWAN (Simulatin Waves Nearshore) simulation result. The model inputs consisted of wind field data from CCMP (Cross Calibrated Multi Purpossed) and bathymetric data from GEBCO (Global Bathymetric Chart of Oceans). Verification of model using buoy data from Seawatch project BPPT (Badan Pengkajian dan Penerapan Teknologi) and altimeter satellite TOPEX indicated well enough model result. <br /> <br /> <br /> <br /> <br /> <br /> <br /> EOF (Empirical Orthogonal Functions) analysis produces 6 modes that represents 95% of total variance that influence the wave height variability in the entire model domain. Mode 1 was dominated by annual monsoon and has spacial dominant contribution in South China Sea and Indian Ocean. Java Sea was dominated by Mode 2 that controlled by six monthly monsoon. ENSO effect in Mode 1 was identified in South China Sea, whereas IODM effect was identified in Mode 1 at Indian Ocean and in Mode 2 at Java Sea
format Final Project
author RAMADHAN (NIM: 12910035), HANI
spellingShingle RAMADHAN (NIM: 12910035), HANI
#TITLE_ALTERNATIVE#
author_facet RAMADHAN (NIM: 12910035), HANI
author_sort RAMADHAN (NIM: 12910035), HANI
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/18592
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