Floods are one of the most frequent natural disasters and cause considerable economic, ecological and social damage. The identification and classification of flood-prone areas is therefore an important part of hydrological monitoring. Identifying flood-prone areas can be defined by hydraulic modelling or other empirical methods. In this study, we have combined both approaches, as the results of empirical methods are often overestimated and the results of hydraulic modelling underestimated. Furthermore, robust empirical modelling methods are more suitable in karst areas. In this work, we first identified 6 factors that influence flooding and ranked them according to their relative importance using the AHP method. The methodology is based on data and information with a minimum of subjectivity of multi-criteria analysis. It also incorporates opinions and knowledge about the criteria and their weighting and provides a framework of knowledge for spatial decision-makers. In the selected area, the Rašica river basin, we have identified areas with high and very high flood risk, which represent 14% of the basin, but do not pose a significant risk to property or infrastructure due to the rationality of human interventions in the perimeter space.
|
