Development of the information-modeling system for flood prediction at large rivers in Siberia

The paper gives the description of some components of the information-modeling system developed to predict floods. The scales and formats of the required cartographic information are analyzed. The composition and structure of the problem-oriented database for data storage and processing in the information-modeling systems is presented. The database designed as a “star” schema based on DBMS PostgreSQL is proposed. Tools for the construction of interactive maps of flood zones with the use of standard service of Google maps have been created. The maps allow to identify flood zones at various probability of exceedance, to get the information on areas and details of the flooded territories as well as to make science-based decisions on flood protection.