Abstract

The study carried out an evaluation of various deployment policies to reduce emergency response times and achieve balance and evaluated the performance of reallocation strategy based on emergency management flood disasters and preparation for support as an ongoing process that the city manages. Response time is an important factor for identifying and presenting strategies derived from the model to deal when disasters occur. Geographical modeling systems take advantage of big digital data to manage emergency operations and rapid response to provide a digital city. Using Deductive inductive approach to preparing flood disaster management, it focused on achieving its goal of preventing developing of disasters and reducing their effects when occur.

The proposed model for conducting flood analysis presented by simplifying a hydrodynamic module that accurately simulates the process of flood inundation, a risk assessment module using historical data on rainfall. The study highlighted the total extent of urban areas affected by the flood 638 km2, or 27.82% of the total study area. The impact became clear quickly and with a high-risk 119 km2 or 5.18% of the study area. The alert levels, their spatial reference and the details of the proposed emergency procedures were determined to highlight the critical areas in the study area, and to represent the emergency scenario to display the road network and buildings that abandoned noting the decline of the urban area that affects even in the event of slight weather conditions.

Keywords

Emergency operations management, flood simulation, response time, risk assessment, modeling.

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