Decision-support system for water availability estimation

The management of water resources, their allocation and use is mainly directed by the policy at the strategic scale. In that way, the different sector interests can be coordinated, as well as principles of sustainable water use and goals of environmental conservation can be ensured. However, even the decision making at the strategic scale (i.e. at the level of the entire country) requires reliable information that provides sufficient support for decision makers in planning the further use of water resources. Accordingly, at the initiative of the decision maker (Ministry of the Environment and Spatial Planning of the Republic of Slovenia) the researchers at the Institute for Water of the Republic of Slovenia have developed a decision support system for water availability estimation in Slovenia. A multi-criteria approach was used, combining scientific approach in estimating the available water amounts (discharge in ungauged locations) and coordinated approach in setting the criteria, indicating the vulnerability of the environment according to specific locations and the attractiveness of that locations in terms of water use. The scientific aspect was used for the establishment of the methodology for the estimation of discharge in ungauged locations. Different machine learning and data mining techniques were tested, however Top kriging (Skøien et al., 2006) method was selected as the most accurate for assessment of the discharge across the country’s catchments, larger than 10 km². Estimated characteristic discharges were then revised according to the environmental needs to evaluate the amounts of water available for further use. However, the selection of the criteria was performed through interdisciplinary collaboration with experts and decision makers from various fields. During settling of the selected criteria, the importance of cooperation was shown. Our initial list of the criteria was not sufficient, as some of the aspects were addressed differently or overlooked. It should also be taken into account that representatives of different fields determined the different importance of the included criteria.

Acknowledgement: The development of the decision-support system was financed by the Ministry of the Environment and Spatial Planning of the Republic of Slovenia through the Institute’s annual work programme for years 2020 – 2023.