After trajectory of oil spill or pollutant in general can be predicted, then I concerned on how to
estimate damaged cost corresponds to such hazardous event. That was why I chose that topic to do
in my Master’s thesis. There were two tasks in this project:
1. Oil spill simulation to identify affected regions
2. Damaged cost estimation for affected regions
As for first task, oil spill scenario was set up and run by using Mike software: module Mike 21 for
hydrodynamic simulation and then Mike 21/3 PA/SA (Particle Analysis / Spill Analysis) for oil spill
movement. As authority data was rare in this study, it was obtained from open data source such as
Google Earth, global tide, etc., and then processed before input to model.
As for second task, output of oil spill simulation was exported and visualized by GIS technique to
identify affected regions. Then, damaged cost coefficients on response, socioeconomics and
environment for each region was assigned base on their properties. The coefficients were obtained
by literature review. Finally, damaged cost caused by oil spill was calculated for each region and sum
it up to get total cost.
[Nguyen Thi Thai Hoa – Researcher at Institute for Environment and Resources (IER), HoChiMinh city, Vietnam - ngthaihoa@yahoo.com]

Master thesis 1 page summary_Thai Hoa

  • 1.
    After trajectory ofoil spill or pollutant in general can be predicted, then I concerned on how to estimate damaged cost corresponds to such hazardous event. That was why I chose that topic to do in my Master’s thesis. There were two tasks in this project: 1. Oil spill simulation to identify affected regions 2. Damaged cost estimation for affected regions As for first task, oil spill scenario was set up and run by using Mike software: module Mike 21 for hydrodynamic simulation and then Mike 21/3 PA/SA (Particle Analysis / Spill Analysis) for oil spill movement. As authority data was rare in this study, it was obtained from open data source such as Google Earth, global tide, etc., and then processed before input to model. As for second task, output of oil spill simulation was exported and visualized by GIS technique to identify affected regions. Then, damaged cost coefficients on response, socioeconomics and environment for each region was assigned base on their properties. The coefficients were obtained by literature review. Finally, damaged cost caused by oil spill was calculated for each region and sum it up to get total cost. [Nguyen Thi Thai Hoa – Researcher at Institute for Environment and Resources (IER), HoChiMinh city, Vietnam - ngthaihoa@yahoo.com]