Unit 4.3 - Modelling Fate & Behaviour of HNS Spills

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The numerical modelling software (and associated source code) for fate and behaviour of chemical substances at sea is a challenging scientific aspect, usually not open and freely available for the public. MOHID model is an exception. MOHID Water Modelling System is a complex numerical lab used for several different water-related purposes, started by Prof. Ramiro Neves at Instituto Superior Técnico / Lisbon University (initially, only focused in hydrodynamic aspects). HNS spill model was recently developed and integrated in MOHID by Rodrigo Fernandes. This MOHID HNS model is the modelling engine behind MARINER platform. A reference regarding this model implementation can be found here:

Fernandes, Rodrigo (2014). A new modelling tool for chemical spill modellers and responders. 7th EUROGOOS Conference Proceedings. Lisbon, 28-30 October 2014.

The scientific aspects (algorithms, methods, assumptions, etc.) behind MOHID HNS spill model are detailed in the following technical manual / bibliographic review.

Click here for animation showing 3D chemical spill behaviour at sea, and its distribution under the different phases, from a floater-evaporater-dissolver.
Click here for animation showing atmospheric dispersion of a chlorine gas emission.

A short overview of MOHID HNS spill modelling system can be viewed below.

Interview with Prof. Ramiro Neves, creator of MOHID modelling system (interviewer: Rodrigo Fernandes - developer of MOHID HNS spill model):

- Video 1/4: "Fully automatic forecasting systems vs. in-house modellers. How do you see this?"

"Fully automatic forecasting systems vs. in-house modellers. How do you see this?"

- Video 2/4: "What is more important: the model, or the modeller?"

"What is more important: the model, or the modeller?"

- Video 3/4: "In what extent can we trust in mathematical models for water pollution response?"

"In what extent can we trust in mathematical models for water pollution response?"

- Video 4/4: "What are the main cautions we must have when using dispersion models?"

"What are the main cautions we must have when using dispersion models?"

(You can watch all the previous videos in a reproduction list here)