Just wanted to let you know that I have added the presentation and abstract from the dwf2020 meeting on the webpage. Furthermore, I found an accepted abstract lying on my computer from last year. It was presented last year (2019) at the ‘sewer processes and networks’ in Aalborg. I mainly wrote the two page abstract as a conclusion on a small project I participated in with some good people at the consultancy company Niras. The project revolved around sewage pipe failures. We wanted to see whether we could establish a classification relationship between broken pipes and different pipe features such as age, material etc. Since I was only working as a subcontractor, my name could not put as the main author (company policy). Instead, Mads Paulsen ended up as the first author and also presented the findings at the conference. Made perfect sense since he handled the majority of the modelling. Had quite a bit of fun doing this project actually, and it presented a quite good case for applying machine learning. This is definitely not always the case even though it is being pushed heavily these days. It turned out that we indeed (maybe unsurprisingly) where able to predict some correlation between broken pipes and our proposes features. The abstract link is in the research archive as well.
Long time no see. Just gotten the news that I have an abstract accepted at the danish water forum 2020. I’ll be talking about our (me and some GEUS colleagues ) new proposed framework for joint stochastic simulation of redox conditions and geological architectures. The overall goal of the research project (Mapfield) is a better description of the subsurface for targeted N-retention management. Hope to see some familiar faces there and looking forward to some criticism (hopefully constructive).
More on the project here: www.mapfield.dk
More on the conference here: http://www.danishwaterforum.dk/Research/Annual_Meeting_2020/Annual_announcement2020.html