Environmental impact assessments, for example, impacts of industrial discharges, impacts of changes in land use, and impacts of changes in agricultural practices on surface water quality.
Analysis of the potential effects of BMPs in watersheds.
Estimation of critical load (e.g. Total Maximum Daily Load, TMDL) for lakes and reservoirs based on state-of-the-art models.
Analysis of potential conservation effects (e.g. biomanipulation, sediment removal, phosphorus flocculation and capping, and re-planting of vegetation) on lakes and reservoirs.
Short-term (weeks) and seasonal (months) forecasting of watershed hydrology, lake and reservoir water quality.
Integration of real-time sensor data into WaterWebTools.com.
Development and application of long-term and short-term model scenarios for both research and management purposes.
Assessment of long-term climate impacts on lakes, reservoirs and watersheds.
Assessment of the impacts of extreme weather events on lakes, reservoirs and watersheds.
Application of state-of-the-art 1D and 3D coupled hydrodynamic-ecological models for lakes and reservoirs.
Application of state-of-the-art eco-hydrological watershed models.
Adaptation of models to local case based on local data.
Scenario analysis based on the specific needs of our clients.
Service packages that can include model and scenario support.
Implementation of IoT-based sensor systems for real-time monitoring.
Integration of real-time sensor data into WaterWebTools.com for visualizations and modeling.
Analysis and advanced visualizations of large data sets.
Application of data-mining and machine-learning approaches tailored to client needs.
Software and model developments tailored to the needs of our clients.
Participation as a partner or as a subcontractor in R&D projects.
Application and further development of ecological models for watersheds, lakes and reservoirs.
Development of web- or QGIS-based platforms for dissimilation of research outcomes.
Basic Python introduction.
Data analysis and applied statistics in Python.
Introduction to QGIS for geographical data analysis.
Introduction to environmental modelling (e.g. based on Python).
Applied environmental modelling (e.g. with hands-on exercises on the application of SWAT and WET).