Personnel, traffic and economy oriented multi-dimensional flood risk assessment method and system

By combining multi-source data analysis and hydrodynamic models with complex network theory and intelligent algorithms, flood spatiotemporal evolution data is generated, which solves the shortcomings of traditional flood disaster assessment methods in multi-dimensional risk assessment and realizes accurate risk calculation and decision support for personnel, transportation and economy.

CN121638684BActive Publication Date: 2026-06-02NANJING HYDRAULIC RES INST
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Patent Information

Application Number
CN202610141543.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-02-02
Publication Date
2026-06-02
Estimated Expiration
2046-02-02

AI Technical Summary

Technical Problem

Traditional flood disaster assessment methods cannot comprehensively assess the multi-dimensional risks to people, transportation, and the economy. They neglect the vulnerability of different socioeconomic groups, the connectivity analysis of transportation networks, and the complex economic impacts. Furthermore, they fail to fully consider the dynamic evolution of floods and their spatiotemporal impacts on various dimensions.

Method used

By acquiring multi-source basic geographic data, using hydrodynamic models to generate spatiotemporal flood evolution data, and combining complex network theory and intelligent algorithms, risk indices of personnel, transportation, and economy are analyzed to conduct multi-dimensional fusion evaluation and generate multi-dimensional comprehensive flood risk assessment results.

Benefits of technology

It enables multi-dimensional risk assessment of flood disasters, provides accurate risk calculation and decision support, and can dynamically reflect the interaction between flood evolution and personnel evacuation, supporting flood control command and emergency rescue.

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Abstract

The application discloses a multi-dimensional flood risk assessment method and system for personnel, traffic and economy. The method comprises the following steps: acquiring multi-source data, generating flood space-time evolution data through hydrodynamic simulation; constructing a time-dependent traffic network driven by flood dynamics, wherein the road traffic capacity dynamically decays with the water dynamic parameters; based on the space-time racing mechanism, calculating the time difference between the dangerous arrival time of personnel and the shortest evacuation time, constructing the evacuation time margin and the evacuation success probability model, dynamically correcting the static personnel exposure risk, and obtaining the personnel safety risk index; combining the physical state decay and asset exposure characteristics, respectively calculating the traffic operation and economic loss risk indexes, and performing multi-dimensional fusion evaluation. The application solves the problem that the traditional static assessment ignores the dynamic interaction between flood evolution and personnel evacuation, realizes the accurate calculation of the personnel trapped probability and the marginal contribution of key road sections, and provides scientific decision support for flood control command and emergency rescue.
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