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All Journal Journal of Marine and Aquatic Sciences
I Dewa Nyoman Nurweda Putra
Program Studi Ilmu Kelautan, Fakultas Kelautan Dan Perikanan, Universitas Udayana, Jl. Raya Kampus Unud, Badung, Bali
Earth & Planetary Sciences

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Deteksi Pola Sebaran Tumpahan Minyak (Oil Spill) Menggunakan Citra Sentinel-1A di Perairan Karawang Fernanda Nadia Damayanti; I Dewa Nyoman Nurweda Putra; I Wayan Nuarsa; Maryani Hartuti
Journal of Marine and Aquatic Sciences Vol 8 No 2 (2022)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2022.v08.i02.p06

Abstract

In recent years, oil spill accidents very often occur due to the development of sea transportation and oil exploitation. Increased exploitation of oil resources is a concern for oil spills that are very harmful to marine ecosystems. On July 12 2019, there was a well kick in the well reactivation YYA-1 owned by PT. Pertamina Hulu Energi work area Offshore North West Java (ONWJ) in Karawang Sea. The oil spill were spread up to Banten and continued to spread widely. Remote sensing is one of the methods that can be used to detect and monitor the oil spill by quickly viewing the location and spill points, and the pace and direction of the oil that can be utilized for cleaning. This research aims to determine the detection of oil spill using Sentinel-1A imagery and to determine oil spill patterns in Karawang Sea before spills occur until the well YYA-1 was closed that was on October 7 2019. This detection is done with adaptive threshold algorithm through Sentinel applications platform (SNAP). The results showed that oil spill has a trajectory spread pattern at the beginning of the spill which occur on July 18 2019. After July 18th, the spread pattern turned random and interrupted the spreading process. The spread has an estimated spread area of 145.85 km2. The spread of oil spill moved towards the northwest to the west approaching the coast and further away from the source of the spill, to Pandjang Island, Banten.
Pemetaan Tingkat Kerawanan Bencana Tsunami di Pesisir Barat Daya Provinsi Banten Elizabeth Anastasya; I Dewa Nyoman Nurweda Putra; IGB Sila Dharma
Journal of Marine and Aquatic Sciences Vol 8 No 1 (2022)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2022.v08.i01.p10

Abstract

Indonesia is one of the countries that has a high level of natural disasters in the world because of Indonesia's location and geographical position in the rings of fire. One of the most vulnerable disasters in Indonesia is earthquakes, volcanic eruptions to tsunami waves (Mukhtasor , 2007). Based on data from the BNPB on December 22 2018, there was a tsunami disaster in the southwest coast of Banten to the coast of Lampung caused by the eruption of Mount Anak Krakatau. The purpose of this study are to create tsunami hazard map on the southwest coast of Banten Province by using a Geographic Information System (GIS) and then identify which areas are in a very vulnerable class. This research was conducted in February 2020 until May 2020. The analytical method used was descriptive analysis, map overlay analysis, and qualitative analysis. The stages include the preparation of maps and supporting data using the help of Global Mapper 8.0 software, the determination of influential parameters, analysis of tsunami prone areas based on the parameters that affect, and determination of tsunami prone areas. The process of determining tsunami-prone areas is done through a process of weighting and scoring of influential parameters, then overlapping with the help of ArcGis 10.7 software to get a map of the level of tsunami hazard. The factors in this study that affect tsunami hazard are land height, land protection, distance from the tsunami source, coastline shape, and the presence of barrier islands. The total area classified as very vulnerable is around 19,94 km2 on the southwest coast of Banten Province. This indicates the need for disaster management through crisis management and risk management based on more valid research.
Korelasi indeks keanekaragaman dan kerapatan tegakan dengan simpanan karbon mangrove Estuari Perancak Casamira Gitta Prasetyo; I Dewa Nyoman Nurweda Putra; I Nyoman Giri Putra
Journal of Marine and Aquatic Sciences Vol 8 No 2 (2022)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2022.v08.i02.p08

Abstract

Land use change is a huge threat for mangrove ecosystems,which are known for their high carbon sequestration and storage capacity.Vegetation restoration efforts are often undertaken, but fail to restore optimal ecosystem carbon sequestration. The mangrove forest of Perancak Estuary with a history of restoration project was made the subject of this research. The objectives include: (i) estimation of mangrove biomass and sediment carbon stock; (ii) comparison of restored, mixed and natural mangroves’ total carbon stock; (iii) correlational analysis between stand density and diversity indices with ecosystem carbon stock. Nine sampling points were determined within three mangrove categories (mixed, natural, restored). Stand characteristics and diameter at breast height (DBH) were measured to allometrically estimate biomass carbon. Sediment carbon was analyzed with Loss on Ignition (LOI) method. Correlational analysis was done with Pearson’s correlation coefficient. Total ecosystem carbon stock is 4472,93 tonnes ha-1 (biomass C: 4046,31 tonnes ha-1; sediment C: 426,62 tonnes ha-1). Highest carbon stock value was found on restored mangroves due to high contribution of sediment C offsetting its low biomass C. Lowest carbon stock value was found on natural mangroves due to decreased root biomass production and increased decomposition due to change in tidal regimes. There is a strong positive correlation between stand density and biomass carbon. Simpson index of diversity has a stronger (though non significant) correlation with biomass carbon than Shannon-Wiener index.
Co-Authors Casamira Gitta Prasetyo Elizabeth Anastasya Fernanda Nadia Damayanti I Gusti Bagus Sila Dharma I Nyoman Giri Putra I Wayan Nuarsa Maryani Hartuti