A method for predicting urban flooding disasters based on satellite infrared brightness temperature and precipitation data

By combining satellite infrared brightness temperature and precipitation data, the life stages of MCSs are automatically identified, solving the problem of accurate classification in existing technologies and realizing closed-loop support for accurate prediction of urban flood disasters and disaster prevention decision-making throughout the entire process.

CN121903331BActive Publication Date: 2026-05-26NANJING UNIV OF INFORMATION SCI & TECH
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Patent Information

Application Number
CN202610378885.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-03-26
Publication Date
2026-05-26
Estimated Expiration
2046-03-26

AI Technical Summary

Technical Problem

Existing technologies are insufficient for the automated and precise segmentation of the life stages of mesoscale convective systems (MCSs), and the identification results are disconnected from urban flood disaster prediction, failing to meet the requirements of urban disaster prevention and mitigation for precision, timeliness, and practicality.

Method used

By combining satellite infrared brightness temperature and precipitation data, differentiated curve slope critical thresholds are constructed to automatically identify the development, maturity and dissipation stages of MCSs. The stage division results are then deeply coupled with urban underlying surface characteristics and waterlogging models to quantify and output core waterlogging indicators such as water depth and inundation range, achieving a closed-loop support for the entire process from meteorological monitoring to disaster prevention practice.

Benefits of technology

It has achieved precise and automated identification of MCSs life stages, improved the accuracy of flood disaster prediction and the timeliness of disaster prevention decisions, reduced the risk of delayed early warning and inadequate response measures, and enhanced the effectiveness of urban flood disaster response.

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Abstract

This invention discloses a method for predicting urban flood disasters based on satellite infrared brightness temperature and precipitation data. The method includes: combining satellite infrared brightness temperature and precipitation data to identify relevant data of complete lifecycle MCSs (Multi-Category System Components); extracting and filtering CCS area evolution data; determining the optimal value of the sensitivity coefficient; fitting the relationship function between CCS area and time, determining the most vigorous development time as the center point, determining the slope critical threshold based on the sensitivity coefficient, and finding boundary points to divide the development, maturity, and dissipation stages; finally, integrating urban underlying surface characteristics and a waterlogging model to quantitatively predict the level of urban flood disasters and push emergency response measures, optimizing the prediction results and response plans through a dynamic feedback mechanism. This invention can accurately capture the essential characteristics of each stage of MCSs, and based on the capture results, achieve full-process automation from meteorological monitoring to flood prediction and emergency response.
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