Name: Fernando Túlio Camilo Barreto
Type: PhD thesis
Publication date: 02/08/2019
Advisor:

Namesort descending Role
Julio Tomás Aquije Chacaltana Advisor *

Examining board:

Namesort descending Role
Diogo Costa Buarque Internal Examiner *
Edmilson Costa Teixeira Internal Examiner *
Fernando Pellon de Miranda External Examiner *
Julio Tomás Aquije Chacaltana Advisor *
Roger Matsumoto Moreira External Examiner *
Valdir Innocentini Co advisor *

Summary: The consequence associated with oil spills in water bodies goes beyond
the dreadful environmental damages, causing a great economical loss and
health issues for the population. To minimize its damage, the application of
computational models that predict the evolution of oil slicks is a powerful
supporting tool in the mitigation of oil spill accidents. In this thesis we constructed
an open source three dimensional oil spill fate and transport model (available at
https://github.com/fernandotcbarreto/SYMOS-model), employing state-of-art
parametrizations for the physical-chemical processes undergone by the oil, and
the lagrangian parcel method to resolve the advection and turbulent diffusion of
the slick. To overcome the unpredictable nature of oil spills we implemented a
probabilistic method that simulates a great number of scenarios under different
meteoceanographic conditions, from which were calculated statistical parameters
that allow a thorough description of the impacts by the oil slick.The transport
and the four physical-chemical weathering processes implemented in the model,
evaporation, emulsification, dissolution, and vertical dispersion (entrainment),
were validated against measured and theoretical data, giving good correlations.
After the validation of the model, it was applied to a study case in the Espírito
Santo - Vitória bay system (SEIV), a region with intense port activities, to
evaluated the sensibility of the study region to oil spills. For this evaluation, were
performed probabilistic and continuous simulations for hypothetical spills in two
locations of intense traffic of vessels, the entrance of Vitória bay (Vitória bay spill)
and near Tubarão port (Tubarão port spill). The simulations were reproduced for a
period of summer and winter to account for the seasonal variability in the analysis.
For the Vitória bay spill, the statistical maps showed a small variability between
summer and winter, with the most affected areas situated in the entrance of the
Vitória bay and in the nearby Espírito Santo bay. This case was highly controlled
by the tidal regime, with the slick dynamics reproducing the ebb dominance of
the local current system. For the Tubarão port spill, on the contrary, there was
a great variability between summer and winter. For summer, it was observed a
clear tendency for the spill to propagate towards Camburi beach, and for winter all
deterministic cases showed a transport outwards of the SEIV. For the continuous
case the worst scenario for the study region was the Tubarão port spill in summer,
since a great area of the SEIV and all extension of the Camburi beach was
affected by the spill.
Keywords: Oil spill. Computational modelling. Lagrangian parcels. Probabilistic
simulation.

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