Interactive Model Simulations
Disclaimer
This server is set up for communicating models between partners of ongoing projects. The simulations are primarily intended for testing, discussion and teaching. Occasional use by guests is allowed as long as server load remains within reasonable limits. The service will be available for limited time. In case of questions, please consult our official website at http://tu-dresden.de/hydrobiologie .
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Accessibility
This server is under reconstruction, offering a subset of tools currently used for ongoing teaching activities. We are working on improving accsessibility and aim to revise legacy tools successively, depending on demand. Please see accessibility / Barrierefreiheit for details and contact us in case of suggestions.
Simulation Models
- Logistic growth: a discrete solution creates period doubling chaos, while the continuous solution reaches a stable equilibrium.
- Resource limited Lotka-Volterra: change parameters of a three-compartment predator-prey model with resource S, producer P and consumer K.
- SEIR model: a simple demo of the main principle of models used in the COVID-19 crisis.
- One box lake model with 3 phytoplankton groups: Simulation of the pelagic food-web of a shallow lake. A simplified interface allows interactive exploration.
- webLAB Wastewater treatment plant model: a web-based teaching implementation of the ASM3 model with 3 reactors (in English and German).
- Hydrophysical Simulation of Reservoir Management Alternatives
Teaching Apps
- Exploration of DWD Weather and Climate Data
- Lake Profile Plotter: plot vertical lake profile data
- Trend test app: simple trend test for teaching purposes
- Autocorrelation app: demonstrates principle of autocorrelation
Technology
The models and apps are implemented in R and Gnu Fortran using the R package rodeo for code generation, package deSolve for numerical integration of the differential equations, and package shiny and the Shiny Server for the web interface.
All main components, the models and parts of the data are free and open source software, available from RStudio, github/dkneis, github/tpetzoldt, R-Forge and CRAN.
David Kneis, Johannes Feldbauer and Thomas Petzoldt, 2023-09-18