About Matthijs Lemans
As a specialist in operational management at Deltares, Matthijs Lemans is closely involved in the development and implementation of real-time water information and forecasting systems. In these projects, he works closely together with experts from various hydro-meteorological authorities and hydro power companies, including those in the United States, Canada, Spain and the Netherlands. Matthijs not only advises on the technical development of these Delft-FEWS applications, but also on their use by operators and the institutional embedding of the applications within the prevailing operating procedures of the client.
In 2007, Matthijs successfully completed his Master's degree in Water Resources Management at Delft University of Technology with a thesis on the application of real-time control techniques to large water systems. He then worked for the National Institute for Freshwater and Wastewater (RIZA), where he provided support to various projects on climate change, river analyses and flood forecasting. Since 2008, Matthijs has been working at Deltares, and from 2012 to 2017 also at Deltares USA Inc, on numerous applications of the Delft-FEWS software, mainly in the field of Early Warning for government agencies and reservoir optimization for energy companies.
Matthijs is also member of the Crisis Advisory Group of the Water Managment Center Netherlands (WMCN) Rivieren van Rijkswaterstaat.
Working experience
Deltares
Senior Advisor/Researcher Operational Water Management
2017-presentDeltares
Senior Hydrologist
2012-2016Deltares
Advisor/Researcher Operational Water Management
2008-2012
Publications
Developing a real-time data and modelling framework for operational flood inundation forecasting in Australia, Hydrology Water and Resources Symposium (HWRS 2022).
de Kleermaeker et al (2022)Operational 2D waterdepth prediction using echo sounder data of inland ships, River Flow Conference 2020.
Van der Mark, Lemans (2020)Water quality forecasting at 16 weirs in the four major river basins of Korea in an OpenDA environment, Hydroinformatics Conference 2012
Loos et al (2012)