Research Field 5

Mathematical models for water quality management and hypothesis testing

Ecological modelling: from cells to ecosystems.

We develop and use both statistical and mechanistic models to better understand the functioning of hydrobiological systems. We employ models across all scales and levels of complexity. Applications range from the inference of physiological parameters from lab data to the long-term simulation of river and lake ecology.

Methods

Data management and statistical analysis: data bases, linear and nonlinear statistical models, multivariate analysis, time series and AI approaches
Simulation of dynamic systems: ordinary and partial differential equations and individual-based models
Method development: effective implementation of dynamic models in R, Fortran and C/C++, parameter identification and scenario analysis

Selected projects

2018 - 2021	Drinking water reservoirs in a changing climate: Mechanistic simulations of water quality as a contribution to the management strategy more information
2020 - 2023	Joint BMBF project KlimaKonform, sub-project B4, drinking water, floods, droughts model scenarios as a discussion basis for better understanding of regional and supra-regional management of multi-purpose dams
2016 - 2020	Modeling of microbial transport and plasmid transfer processes
ongoing	Development of open source software for ecological modelling, R packages growthrates, simecol, and rodeo, contributions to deSolve, FME, and others