The bio-economic model calculates optimal weed control strategies for cultivation of silage maize in North-Rhine-Westphalia and can be used to simulate agri-environmental policy scenarios such as a glyphosate ban. The model can be used to assess changes in the Energy Output and the Load of the used pesticides under different scenarios. The model is described in detail in the following article: Böcker, T., Britz, W., Möhring, N., Finger, R. (2019). "An economic and environmental assessment...
ROMS+NPZD model data: turbulent and mesoscale contribution to the transport of organic carbon in the Canary Upwelling SystemElisa Lovecchio
NetCDF files containing the data produced by the model ROMS+NPZD using the Atlantic telescopic grid. Files contain: the results of the Reynolds decmposition fo the 3D organic carbon fluxes into mean and turbulent fluxes, the results of the structure-based eddy and filament decomposition of the3D organic carbon fluxes, the 2-day mean output of the total organic carbon concentration and its turbulent deviation from the mean and of SST and SSH.
Models used in 'Free Surface Water Flows - Modeling, Simulation and Control' developed in Matlab/Simulink R2016b.
Source files of models used in ' Free Surface Water Flow - Modeling, Simulation and Control ' developed in Scilab/Xcos v. 5.4.1
Bio-economic model on weed control in cultivation of wheat: Herbicide free wheat production in Switzerland (HerbiFree)Thomas Böcker & Robert Finger
Strategies to prevent and control pest pressure are required to efficiently produce high quality food products. However, the use of pesticides is associated with potential risks to humans and the environment, motivating policy actions in Switzerland and other European countries. Especially the widespread use of herbicides is increasingly criticised. The goal of this work to investigate the implications of a ban or a voluntary removal of i) specific pesticides (such as glyphosate) as well as...
The Alpine Land-Use Allocation Model (ALUAM) is a spatially explicit, agent-based land-use model. The model is calibrated and validated for the Visp region, an inner-alpine mountain area in Switzerland. ALUAM had been used in various scientific case studies addressing climate change, ecosystem service provision and policy evaluation.
Modeling output data used in publication \"Potential influence of overpressurized gas on the induced seismicity in the St. Gallen deep geothermal project (Switzerland)\"Dominik Zbinden
Coupled multi-phase hydro-mechanical numerical modeling
The stochastic dynamic optimization model documented in here simulates decisions of an arable farm with respect to long-term investment based on a compound American option. The implemented application is an investment in short-rotation coppice (SRC). SRC uses fast-growing trees that, once they are set-up, are coppiced several times and finally cleared-up. Time and scale of SRC introduction, intermediate harvest quantities, and final reconversion are flexible and constitute decision variables along with cropping shares for competing...
Supplementary data 3D Traction Force Microscopy: Additional datasets for the 3D Traction Force Microscopy Simulation and Evaluation PlatformClaude Nicolas Holenstein
ANSYS Inc.; MATLAB
Regional Ocean Modeling System (ROMS) + Biogeochemical Elemental Cycling (BEC) model
This excel file allows to calculate the GRID score for a deep geothermal system as described in Wiemer et. al (2017), Good Practice” Guide for Managing Induced Seismicity in Deep Geothermal Energy Projects in Switzerland, https://doi.org/10.3929/ethz-b-000254161
The bio-economic model calculates optimal weed control strategies for cultivation of silage maize in North-Rhine-Westphalia and can be used to simulate agri-environmental policy scenarios such as a glyphosate ban. The model is described in detail in the following article: Böcker, T., Britz, W., Finger, R. (2017). Modelling the effects of a glyphosate ban on weed management in silage maize production. Ecological Economic.
Linear Programming Language LPL 6.17 CPLEX Solver