MINIMIZATION OF INTEGRAL RISK OF EMERGENCY ON THE EXAMPLE OF BLYZNYUKIVSKYI DISTRICT OF KHARKIV REGION

Abstract

Optimization of fire equipment and fire departments is perhaps one of the main problems today in the State Emergency Service of Ukraine. Given the reform of the civil protection service, the redistribution of forces and resources, there is a need to create new fire and rescue units. The choice of the place of their new deployment should be scientifically substantiated and highly efficient in the operation of forces and means of civil protection. That is why there is such a task as identifying additional fire depots, taking into account the reduction of the integrated risk of emergencies or dangerous events. At the same time, the Strategy for Reforming the Civil Protection Service envisages the introduction of a man-made and fire safety management system based on a risk-oriented approach. Therefore, the urgent task is to identify parameters that affect the magnitude of integrated risk, building models and methods of risk management, forecasting the level of risk for further development of sound recommendations for the deployment of new fire and rescue units to reduce the risk of emergency (dangerous event) territory.

The purpose of the article is to minimize the risk of emergencies (dangerous events) on the example of Blyznyukivskyi district of Kharkiv region by increasing the number of fire stations.

The paper shows the inverse relationship between the coverage ratio of the region and the time of arrival to an emergency (dangerous event). the minimization of the integral risk of emergencies (dangerous events) was realized by increasing the number of fire depots on the example of Blyzniukivskyi district of Kharkiv region. Departure areas are shown on a real map in Google Maps. Departure areas of rescue units are convex polygons, the vertices of which depend on the road network. As a result of the increase from one fire station to four, the response time to the fire will be reduced by 51%, and the corresponding emergency risk will be reduced by 72%.

Keywords: Integral Risk of Emergency, Coverage Ratio, Time of Arrival, Coverage Area, Rescue Unit, Fire Depot.