engleski

METHODOLOGY FOR DEVELOPMENT OF THE HYDROLOGICAL MODEL IN SMALL CATCHMENT

In this paper detailed methodology for hydrological model development based on artificial neural network (ANN) application in small catchments is going to be presented. The motivation for this paper is coming from the established lack of precise steps in methodology for hydrological model development that are based on application of ANN. The implementation of the artificial neural network rainfall-runoff model in a small catchment Slani potok was a base for determination of the precise methodology steps.

early warning system, hydrological model, artificial neural network, implementation methodology

The research for this paper was conducted within the bilateral international Croatian-Japanese project “Risk identification and Land-Use Planning for Disaster Mitigation of Landslides and Floods in Croatia”, as well as a part of the scientific project “Water resources hydrology and floods and mud flow risks identification in the karstic area” financed by the University of Rijeka.