Soutenance de thèse de Budhi Gunadharma Gautama : « Oil-Spill Monitoring in Indonesia »

Vendredi 01.12.2017
Horaires :
De 10:00 à 12:00

Adresse :

IMT Atlantique, campus de Brest - Petit amphithéâtre

Indonesia as the biggest archipelago has a major threat coming from oil spill. 
Due to the increasing concerns of environment protection for sustainable development, the government of Indonesia in cooperation with government of France developed an ocean observation system with one of its pilot applications is oil spills monitoring. This system is integrated in the operational oceanography systems within the project of Infrastructure Development of Space Oceanography (INDESO).

The context of this thesis is in the frame of INDESO project particularly in the monitoring of oil spill in the Indonesian seas. Within the context above, this thesis propose new methodologies and analyses. This thesis involved two main contributions. The first contribution addressed the retrieval of oil spill drift parameters from a joint analysis of SAR observations of an oil spill and of outputs of a Lagrangian oil spill transport model. We applied the proposed methodology on the most famous oil spill accident in Indonesia, the Montara case.

The second contribution was the global assessment of oil spill risk in Indonesia. We focused on the 11 Indonesia Fisheries Management Area to support the sustainability development of marine and fisheries. In this analysis we proposed methodology that considered the oil spill from different source and their impacts not only to the environment, but also from social and economic perspectives. For the assessment of vulnerability of Marine Protected Areas to oil spill pollution, we also exploited the oil spill trajectory model. In the first part of this thesis, we estimate oil spill drift parameters. The proposed framework exploited a Lagrangian oil spill transport model such that the simulated oil spill drift could match a SAR-based observation of an oil spill. In the considered 2D Lagrangian model there were two dominant factors, i.e. wind and surface current. To confirm the origin of the oil spill detected on a given date through a SAR observation, we performed simulations with various leakage starting dates, leakage durations, and different values of wind and current weighing coefficients. We developed a novel framework for the assimilation of these oil leakage parameters from a SAR-derived detection of an oil spill. This framework states this assimilation as the minimization of a level-set representations of the SAR-derived oil spill detection and of 2D transport model simulations. We illustrated its relevance on the Montara oil spill case study. The second part of this thesis addressed the assessment of the vulnerability of Indonesian sea areas to oil spill pollution.
The focus was given to Fisheries Management Areas as a means to provide synoptic analysis over the entire Indonesian maritime territory. Using different information from many institutional reports, we collected and analyzed the potential source of oil spill in each FMA. Each FMA has specific characteristics in terms environmental and socioeconomic features. We assessed the oil spill risk in each FMA based on all these factors.

The result of this study can be used in the mitigation planning to reduce the negative impacts of oil spill.

Publié le 30.11.2017
Dim Lun Mar Mer Jeu Ven Sam
 
 
 
 
 
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