SIMULATION OF 3D TRAJECTORY MODEL AT AMBON BAY
Ambon Bay is divided into two parts, i.e. Outer Ambon Bay (OAB) and Inner Ambon Bay (IAB) which separated by 10 m sill. The existence of the sill causes OAB and IAB have different waters dynamics. Generally, waters dynamics at Ambon Bay was influenced by upwelling process at Banda Sea on southeast m...
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id-itb.:756112023-08-03T15:52:38ZSIMULATION OF 3D TRAJECTORY MODEL AT AMBON BAY Nurfitri, Suliskania Ilmu kebumian Indonesia Theses Ambon Bay, trajectory model, water mass exchange, tidal upwelling INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/75611 Ambon Bay is divided into two parts, i.e. Outer Ambon Bay (OAB) and Inner Ambon Bay (IAB) which separated by 10 m sill. The existence of the sill causes OAB and IAB have different waters dynamics. Generally, waters dynamics at Ambon Bay was influenced by upwelling process at Banda Sea on southeast monsoon. On that period, the water mass change at Ambon Bay occured by tidal upwelling which is carried out the water mass at deep layer of OAB to surface and enter the IAB. The water mass change by tidal upwelling can be studied using 3 Dimensions (3D) trajectory model simulations. The model was simulated with three scenarios, i.e. simulation for 1 tidal cycle, 1 month, and 5 months. The numerical trajectory model results can represent the pathline when flood and ebb tide with mean error 2.32% due to analytical results. The numerical model results also show that the particles dominantly moved to OAB rather than IAB on 1 day tidal cycle. In every months during southeast monsoon (June – October) there are also a lifting some of the particles from 50 – 170 m depth which rise up to surface and enter the IAB. The most shallow of the lifting particle was happened at June which only from 50 m depth, indicating the start of upwelling, whereas the deepest was happened at August from 170 m depth which is the peak of upwelling. The surface particles at IAB dominantly moved to OAB at flood and ebb tide which the particles that located near the sill would be difficult to exit the IAB. It shows that the water circulation at IAB tend to be isolated. The results of 5 months (June – October 2008) model simulation show that 53.44% of the particles suspended at east side of the bay, 39.69% at west side, and 6.87% at sill after 3.5 months. text |
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Ilmu kebumian Nurfitri, Suliskania SIMULATION OF 3D TRAJECTORY MODEL AT AMBON BAY |
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Ambon Bay is divided into two parts, i.e. Outer Ambon Bay (OAB) and Inner Ambon Bay (IAB) which separated by 10 m sill. The existence of the sill causes OAB and IAB have different waters dynamics. Generally, waters dynamics at Ambon Bay was influenced by upwelling process at Banda Sea on southeast monsoon. On that period, the water mass change at Ambon Bay occured by tidal upwelling which is carried out the water mass at deep layer of OAB to surface and enter the IAB. The water mass change by tidal upwelling can be studied using 3 Dimensions (3D) trajectory model simulations. The model was simulated with three scenarios, i.e. simulation for 1 tidal cycle, 1 month, and 5 months. The numerical trajectory model results can represent the pathline when flood and ebb tide with mean error 2.32% due to analytical results. The numerical model results also show that the particles dominantly moved to OAB rather than IAB on 1 day tidal cycle. In every months during southeast monsoon (June – October) there are also a lifting some of the particles from 50 – 170 m depth which rise up to surface and enter the IAB. The most shallow of the lifting particle was happened at June which only from 50 m depth, indicating the start of upwelling, whereas the deepest was happened at August from 170 m depth which is the peak of upwelling. The surface particles at IAB dominantly moved to OAB at flood and ebb tide which the particles that located near the sill would be difficult to exit the IAB. It shows that the water circulation at IAB tend to be isolated. The results of 5 months (June – October 2008) model simulation show that 53.44% of the particles suspended at east side of the bay, 39.69% at west side, and 6.87% at sill after 3.5 months. |
format |
Theses |
author |
Nurfitri, Suliskania |
author_facet |
Nurfitri, Suliskania |
author_sort |
Nurfitri, Suliskania |
title |
SIMULATION OF 3D TRAJECTORY MODEL AT AMBON BAY |
title_short |
SIMULATION OF 3D TRAJECTORY MODEL AT AMBON BAY |
title_full |
SIMULATION OF 3D TRAJECTORY MODEL AT AMBON BAY |
title_fullStr |
SIMULATION OF 3D TRAJECTORY MODEL AT AMBON BAY |
title_full_unstemmed |
SIMULATION OF 3D TRAJECTORY MODEL AT AMBON BAY |
title_sort |
simulation of 3d trajectory model at ambon bay |
url |
https://digilib.itb.ac.id/gdl/view/75611 |
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1822007734134898688 |