Abstract. Understanding the characteristics of the ocean wave in Indonesian Seas particularly in western Indonesian Seas is crucial to establish secured marine activities in addition to construct well-built marine infrastructures. Three-years-data (July 1996 -1999) simulated from Simulating Waves Nearshore (SWAN) model were used to analyze the ocean wave characteristics and variabilities in eastern Indian Ocean, Java Sea, and South China Sea. The interannual or seasonal variability of the significant wave height is affected by the alteration of wind speed and direction. Interactions between Indian Ocean Dipole Mode (IODM), El Niño Southern Oscillation (ENSO) and monsoon result in interannual ocean wave variability in the study areas. Empirical Orthogonal Functions (EOF) analysis produces 6 modes 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 spatial dominant contribution in South China Sea effected by ENSO and Indian Ocean influenced by IODM. Java Sea was influenced by Mode 2 which is controlled by semi-annual monsoon and IODM. A positive (negative) IODM strengthens (weakens) the winds speed in Java Sea during the East (West) season and hence contributes to Mode 2 in increasing (decreasing) the significant wave in Java Sea.
The Arafura Sea is a relatively shallow water basin (less than 200 m) which is subjected to monsoonal winds and affected by the Banda Sea circulation. During the southeast monsoon (May to September) there is evidence of upwelling in this region which is indicated by the cooler SST (Sea Surface Temperature) and elevated chlorophyll concentration, especially at the coast of Papua (northern Arafura Sea). In order to address the origin of the upwelled waters masses, a numerical study using Lagrangian particles was utilized. The model was run backward in time to trace the trajectory of the particles arriving at the northern Arafura Sea, particularly in the upper 50 meters. Each particle was traced backward for three months with the arrival date August 31, 2014, as it is representative for an upwelling month. By this experiment we can identify the origin of the particles on June 1, including their depth, which arrive in the northern Arafura Sea. The daily velocity fields of the 3-D model HAMSOM (HAMburg Shelf Ocean Model) application to the Banda and Arafura Sea for 2014 were used to force the Lagrangian particle-tracking experiment. In general, 76.2% (62%) of particles arriving in 2.5 m (22.5 m) depth, originated from the upper 50 m of the Ceram and Banda Sea. In addition, particles originating from the depth interval 50-100 m contribute 19.6% (26.8%) to the number of particles arriving in 2.5 m (22.5 m) depth. On the other hand, for particles arriving in 47.5 meter depth 46% are originating from the upper 50 m of the southeastern Arafura Sea and 42% from a depth below 100 m of the eastern Banda Sea.
Abstract. Major national and international ship traffic routes pass through the western part of Java Sea. Due to this reason, this area is vulnerable to oil spills from ships and offshore exploration. One of the most vulnerable areas to oil pollutant is the MPA (Marine Protected Area) of the Seribu Islands, particularly the region around Pari Island. The current study was part of IndoNACE (Indonesian seas Numerical Assessment of the Coastal Environment) project and aimed to assess the coastal vulnerability towards oil spill using a Geographic Information System (GIS). In this frame, a spatial analysis was conducted by overlaying coastline map, bathymetry map, and ecosystem distribution map. The overlay method was referred to the Environmental Sensitivity Index Guidelines created by NOAA (National Oceanic and Atmospheric Administration). The preliminary results showed that 38%, 24%, and 38% of Pari Island coastline were high, moderate, and low vulnerable towards oil spill pollution, respectively. The low and moderate vulnerable areas were located at the outer reef crest and inner lagoon. Meanwhile, the high vulnerable area was located at the vegetated shoreline which dominated by mangrove. Due to its biological value and its role in the environment, the vegetated area should receive priority protection against oil pollution.
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