The strengthening of HGI-CGS’s research capabilities is established through coordinated and targeted programme of training, knowledge exchange and collaboration that encompass utilisation of cutting-edge research tools and techniques.
The project activities have already enabled HGI-CGS’s researchers to understand, interpret and visualise the geology in three dimensions.
The trainings and workshops have enabled testing of different methodologies to collect and prepare in-situ data, empowered implementation of modern methods into geological mapping, and provide digital capture of boreholes and other digital data. The development of a shallow 3D geological model for the Zagreb pilot area enabled more detailed simulation and prediction of groundwater flow for the same area. Shallow ground subsurface models, which now can be produced by HGI-CGS geologists, have many applications related to earth sciences/management and environmental protection.
Learning to develop deeper 3D geological models from available data through specific and advanced methodology/software enabled, already now, a more realistic view into deeper earth horizons, which is important for comprehension of the genesis of the area and definition of deeper geological structures. These data are essential while estimating deeper energy and mineral resources, but also in analysis of seismic activity. As a result of the conducted comprehensive training and close cooperation of GEUS and BGS-UKRI, with HGI-CGS experts have delivered initial 3D reservoir properties model covering greater Zagreb area.
The program of GeoTwinn training developed new groundwater flow and solute transport modelling skills and capabilities at HGI-CGS. For now, that is accomplished through enhancement of capabilities in automated calibration of groundwater flow models and time series analysis, but also through the courses on emerging contaminants and field training on their sampling techniques. Mentioned techniques will enable better management and exploitation of potable water resources from both porous and karstic reservoirs.
The modelling of fluids and heat flow is enhanced by understanding of principles of stochastic and numerical modelling methods. This develops new tools and possibilities for geothermal modelling, and can contribute considerably to an increased use of geothermal energy.
The specialised statistic course introduced the use of R package in geostatistic analysis with particular attention toward spatial analysis of landslide susceptibility and discontinuity orientation. These analyses are vital in definition and quantification of geohazards, mainly resulting from landsliding or rock-falling processes which are very frequent in Croatia. Statistical approach in time series analysis incorporated in the course, will provide a good tool for the analysis of karstic groundwater flow dynamics.
Nowadays very important part in geohazard research are remote sensing data (photogrammetry, laser scanning, satellite images, etc.). Training and developing techniques to stimulate novel geohazard identification facilitates improves geohazard management in order to combat the potential impacts of climate change and support sustainable development within safer environment.