Sediment Analysis using AI techniques
Posted by:
Koen Wildemeersch
Date: March 05, 2014 12:01AM
Hi all,
I have this question about a the following research topic we are tackling in Flanders hydraulics research institute (Flemish Government, Belgium): we have gathered a lot of sediment concentration measurements along the Scheldt River (Belgium) as well as the dredging dumps that took place in the river Scheldt.
We’ve collected this data for four years 2008-2012. The sediment measurements were made at a very high resolution: every 10 minutes. For the dredging dumps we have only the day the dumping took place as well as the quantity. This data is available at different locations in the Scheldt and thus would allow us to find a tempo-spatial relation between sediment and dump.
My question goes as follows: How would you tackle the problem? We would start off with a correlation analysis and would than consider performing a regression analysis (ANN, SVR) to predict sediment concentration as function of tide, season, … and dump quantity. The idea we have is to use an train an autoregressive model. Would you agree?
One issue is that a lot of dumps take place during that 4 year. So it’s a very complex relation that is observed.
I hope I managed to explain the scope of the work in a way that is easy to understand for you. I would have preferred to add a figure, but as far as I know this is not possible.
Anyway do not hesitate to contact me for further info. All input is very much appreciated.
Kind regards,
Koen