Performance of nonlinear time series models to simulate synthetic groundwater table time series from an unsaturated zone model

Transfer function noise (TFN) modelling is a form of time series analysis which regularly uses the recharge as a stress to explain the groundwater table fluctuations. Often the recharge flux is estimated as a linear combination of the precipitation and the (potential) evaporation. However, this is a simplification of the actual hydrological...

Mode coupling in nanomechanical string resonators: Towards Fermi-Pasta-Ulam-Tsingou mechanics

In the early years of numerical simulation methods, Fermi, Pasta, Ulam and Tsingou (FPUT) discovered that an undamped, weakly nonlinear equation describing the motion of a chain of masses and springs could show complex dynamics. Integration of these equations froma n initial displacement in the formof the fundamental mode resulted in significant...

Relating groundwater heads to stream discharge by using machine learning techniques: A case study in subcatchment Chaamse Beken

Waterschap Brabantse Delta (WBD) has the intention to implement measures that enhance the baseflow. Baseflow consists of the groundwater flow and a small part of the interflow. During dry periods, streams are dependent on the baseflow. Enhancing the baseflow has a proper effect on the ecologically relevant quality of waters, and is therefore...

Goodness for Heinz Beanz and Pasta

This project was commissioned by H.J. Heinz, more specifically the Beans & Pasta department at the R&D centre in Nijmegen. Heinz is a multinational food company with many number one brands in their portfolio and always looking for opportunities to grow and improve. Heinz has a strong and wide portfolio for both products. Heinz offers the...