Did you know that we can estimate the flow in tidal rivers and estuaries based solely on the water levels at several stations?
In our new paper “Regression-based machine learning approaches for estimating discharge from water levels in microtidal rivers”, published in the Journal of Hydrology, we explore how machine learning can make this possible.
This work, carried out by PhD student Anna Maria Mihel together with Nino Krvavica and Jonatan Lerga, solves a complex inverse problem using non-stationary machine learning models to reconstruct discharges in the Neretva River.
We are now much closer to understanding the hydrodynamics of the Neretva River estuary and its vulnerability to flooding and salt intrusion.
Check out the full paper here.
