Method and system for calculating distribution probability of composite flood disasters

A method and system for calculating the distribution probability of compound flood disasters construct a composite knowledge graph and use a prediction model to quantify disaster risks, enhancing flood control facility construction and mitigation.

CN119202916AActive Publication Date: 2024-12-27HOHAI UNIV +1
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Patent Information

Application Number
CN202411718876.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-28
Publication Date
2024-12-27
Estimated Expiration
2044-11-28

AI Technical Summary

Technical Problem

Current methods fail to quantitatively assess the distribution probability of compound flood disasters, neglecting concurrent and coupled disaster events, and lack effective construction of disaster prevention facilities due to incomplete disaster event knowledge graphs.

Method used

Construct a composite disaster knowledge graph based on disaster events and disaster-bearing bodies, extract relationship chains, determine correlation attributes, and use a trained disaster distribution probability prediction model to predict the probability of indirectly related disasters.

Benefits of technology

Provides a reliable reference for constructing and maintaining flood control facilities by quantitatively evaluating the distribution probability of compound flood disasters, minimizing harm.

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Abstract

The invention provides a composite flood disaster distribution probability calculation method and system, and relates to the technical field of disaster assessment, and the method comprises the steps: constructing a composite disaster knowledge map based on disasters in a preset time period before and after flood occurrence in a research region; extracting flood-related chains in the mapping knowledge domain to construct a composite flood disaster mapping knowledge domain; extracting upstream and downstream disaster events in the knowledge graph; determining correlation attributes of the upstream and downstream disaster events according to the occurrence probability of the upstream and downstream disaster events; obtaining a target disaster-inducing factor value, determining the value as sample data, and determining upstream and downstream disaster events with correlation attributes as label labeled sample data; training a model by using the labeled sample data to obtain a disaster distribution probability prediction model; and inputting the value of the target disaster-inducing factor into a disaster distribution probability prediction model for processing to obtain the distribution probability of various disasters belonging to the indirect related disasters. The method aims at quantitatively evaluating the occurrence probability distribution of the composite flood disasters in a specified area.
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Citation Information

Patent Citations

  • Flood type Natch disaster event knowledge graph construction method based on text mining

    CN114860960A

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    CN116776984A

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    CN118069864A

  • Method for assessing comprehensive risk of drought and flood disaster on apples

    US20230080168A1