Tsunami warning systems
Facilitator: So, [Marianne], I understand that you're studying tsunami warning systems. Tell me about that.
Marianne: Well, we did write a paper as a class in 2009 led by our lecturer, Dr Layna Groen. The objective of our research was to maximise the warning potential in some of the coastal regions in the Mediterranean region. We were very inspired by the fact that there is currently no tsunami warning system in place, so it did give the project a sense of importance.
Facilitator: We've all seen that tsunamis can really be devastating. Can you tell me a little bit more about how they form?
Marianne: A tsunami forms as a series of water waves and this is caused by a large displacement in the body of the water. Common causes of this can be things such as underwater volcanoes, earthquakes and landslides. So as the large water waves get closer and closer to a shoreline, the speed and the height of the wave keep getting larger and larger, so you can only imagine how devastating the effects can be if a proper tsunami warning system wasn’t in place.
Facilitator: So, specifically, what did your research involve?
Marianne: It involved looking at current data in the Mediterranean, analysing that data and the outcome being if we needed to add any more warning buoys in the Mediterranean in order to give an effective warning to the population.
Facilitator: How do you study them? I mean, surely you're not out there on a surfboard?
Marianne: I wish we were, but the way we did it, we had to calculate a warning potential value and that’s how many people are effectively warned. The way we did that, we had to calculate three times. The times were the time taken for a tsunami to travel from its generation point to the population centre and the time taken for it to travel from its generation point to the detector and then the time taken for the detector to transmit this data to a warning centre and for the population to react.
Facilitator: So am I right in thinking that specifically what you're doing is using statistics to predict tsunamis?
Marianne: That’s right. We used a lot of statistics and mathematics in our model, and the model we used to calculate the warning potential had a lot of mathematical formulas in it. So it is very reassuring in a way to have a calculation predict whether or not we would put a certain buoy in a specific location. I, myself, didn’t realise how versatile mathematics and statistics could be. It is spread across various disciplines and to use it so applied in this research was quite amazing to see the outcome.
Facilitator: What did you discover?
Marianne: It did take a whole six months to finish the project from collecting the data, analysing the methods and just bringing everything together, creating our model. In the end we did find that, if we placed a few tsunami warning buoys and sea level monitoring stations in different locations around the Mediterranean, it did end up that we'd get a pretty good outcome on the warning potential. So effectively, we can be saving lives, which is a great feeling.
We had our paper published in an international journal, which felt amazing for all of us and as undergraduate students we definitely don’t expect to get a publication from our degree but that was definitely a very big upside to the project.
2 December 2013
Marianne Menictas's third year undergraduate research project was to maximise the warning potential in the Mediterranean coastal regions. This was extremely inspiring because there was currently no tsunami warning system in place.
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