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Preliminary approach of oil spill model

A hindcasting with in situ data and numerical model in Balikpapan Bay, Indonesia

Bibliographic Data

ID22189684
AuthorsAndri Purwandani (0000-0002-7675-5069, Marine Conservation Institute), Wiwin Ambarwulan (0000-0002-5424-0152, National Research and Innovation Agency), Aninda Wisaksanti Rudiastuti (0000-0003-1360-4420, Marine Conservation Institute), I Wayan Nurjaya (0000-0002-1009-6080, Department of Fisheries), Widiatmaka Widiatmaka (0000-0001-8613-9561, IPB University), Rahmat Abbas (Universitas Muslim Nusantara Al Washliyah), Yudi Anantasena (National Science and Technology Development Agency), Djoko Nugroho (0000-0002-0350-7873, National Research and Innovation Agency), Yusuf Surachman Djajadihardja, Y Djajadihardja (0009-0008-3108-2172, National Research and Innovation Agency), Ety Parwati (GeoInformation (United Kingdom)), Maryani Hartuti (GeoInformation (United Kingdom)), Syarif Budhiman (0000-0002-0744-3838, GeoInformation (United Kingdom))
Year2025
Volume9
Issue1
Pages10173
Publication date2025-01-07
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd10173
OpenAlexW4406128179
LanguageEN
References cited2

Oil spills (OS) in waters can have major consequences for the ecosystem and adjacent natural resources. Therefore, recognizing the OS spread pattern is crucial for supporting decision-making in disaster management. On 31 March 2018, an OS occurred in Balikpapan Bay, Indonesia, due to a ship's anchor rupturing a seafloor crude oil petroleum pipe. The purpose of this study is to investigate the propagation of crude OS using coupled three-dimensional (3D) model from DHI MIKE software and remote sensing data from Sentinel-1 SAR (Synthetic Aperture Radar). MIKE3 FM predicts and simulates the 3D sea circulation, while MIKE OS models the path of oil's fate concentration. The OS model could identify the temporal and spatial distribution of OS concentration in subsurface layers. To validate the model, in situ observations were made of oil stranded on the shore. On 1 April 2018, at 21:50 UTC, Sentinel-1 SAR detected an OS on the sea surface covering 203.40 km2. The OS model measures 137.52 km2. Both methods resulted in a synergistic OS exposure of 314.23 km2. Wind dominantly influenced the OS propagation on the sea surface, as detected by the SAR image, while tidal currents primarily affected the oil movement within the subsurface simulated by the OS model. Thus, the two approaches underscored the importance of synergizing the DHI MIKE model with remote sensing data to comprehensively understand OS distribution in semi-enclosed waters like Balikpapan Bay detected by SAR

Bay · Climatology · Hindcast · Marine engineering · Oil spill · Engineering · Environmental Science · Geological and Geophysical Studies · Environmental Engineering · Geology · Oceanography

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