Geo-spatial Analysis for Prediction of River Floods

Due to the serious climate change, severe weather conditions constantly change the environment’s phenomena. Floods turned out to be one of the most devastating catastrophes for Europe's population, economy and environment during the past decades. In this paper we are using geographic information systems (GIS) as a modeling tool for the prediction and prevention of such effects. We provide an emulation of geographic processes or phenomena of the real world problems by employing the geo-spatial analysis for two-dimensional models. The developed data model depicts spatial variations of the expectations about the analyzed data. Because the input is of a fine quality, the result, the representation model provides helpful information for interpretation and forecasting the behavior of natural phenomena. The intention of this paper was to develop two-dimensional model for the rivers’ water flow. With the spatial modeling of the hydrologic system we reconnect the systems dynamics modeling, modular simulation, data processing and visualization. Our hydrologic model uses ESRI ArcMap data model for water resources in ArcGIS as a core platform. The hydrologic process modeled for the purpose of this paper was the flooding of the areas around the drainage of river Brajcinska. These floods are simulated by the increase of the river flow above the boundary level of Q=15m/s and by the additional demand that the delineation of the land surface terrain is less than 0.03%. With the developed model, the sections of the river flow with highest probability of flooding can be selected, and also the probable flooding terrain around the river flow can be