Flood Risk Management Modelling in the River Ibar Catchment Area
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In this paper, there are presented the risk assessment modeling of all rivers in the River Ibar Catchment that have been flooding or have a potential for flooding of agriculture land, houses, roads, bridges, and other objects. For each river, those flooded or potentially flooded surfaces are presented by category of risk (high risk, medium risk, and low risk) as well as the causes of the flooding and recommendations for short term and long term activity protection against floods. All inputs for the flood risk assessment (water cycle analysis, lake-level prediction, evapotranspiration, climatic conditions) were simulated by using different modeling techniques. By analyzing the locations and vicinity of the human activities, it sets the river priority for intervention. This is enabled by the information presented through the Geographical Information System Elements (GIS) of the Water Framework Directive. Although the information presented by GIS depends on the availability of the spatial and field data, it is a valuable tool in risk assessment in determining the cumulative sensitivity of the specific region to the floods.
KeywordsFloods Evapotranspiration Evolutionary algorithm Sensorless estimation Neuro-fuzzy approach GIS
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