Abstract
The emergence of new technologies, such as blockchain, Big Data, etc., provides fundamentally new opportunities for the formation of distributed databases necessary for assessing and managing hydrological risks in urbanized areas. At the same time, the use of the most modern technologies is based on adequate modeling and forecasting of hydrological processes, which, in the context of climatic changes and poorly predicted meteorological events for the long term, require close attention and understanding. The article deals with the tasks of risk assessment and prevention of damage from hazardous hydrological processes (rainfall floods, floods, mudflows, etc.) in framework of the Smart City Concept. Natural and anthropogenic factors of floods, methods of risk assessment and risk management in flooded areas are discussed. The issues of hazardous hydrological processes predictability and damage assessment are discussed. Sufficiency and effectiveness of the decisions made in the field of minimizing the negative impact of water, sufficiency of forces and means to ensure population safety and economic facilities are assessed on the example of the Kuban River basin.
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More From: IOP Conference Series: Earth and Environmental Science
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