A new economic losses evaluation information system has been developed for monitoring severe rainfall and flooding disasters in cities. The data mining method, econometric regression model and input-output model are implemented in the system, on the basis of multi-source data such as hourly rainfall, geographical conditions, historical and real-time disaster information, socioeconomic data, and defense countermeasure. Combined with the weather forecast information, this system can report the real-time direct and indirect economic losses incurred by urban heavy rainfall and flooding disasters, automatically generate defense countermeasure reports for typical rainstorm and flooding points, and provide the spatial distribution of disasters. Finally, the system is conducive to improving the ability to manage disaster emergencies and eventually reducing the economic losses from the disaster.