A method of assessing ploughing down

By using multi-mode assessment and hydro-hydrodynamic coupling models, the problems of climate model uncertainty and lack of differentiated management in existing flood prediction and assessment are solved. This enables refined description and differentiated management of watershed inundation range and water depth, supporting watershed flood control, disaster reduction and agricultural adaptation planning.

CN122175136APending Publication Date: 2026-06-09INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
Filing Date
2026-02-04
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing flood forecasting and assessment methods suffer from high uncertainty in climate model selection, making it difficult to accurately describe the inundation range and water depth. They also lack differentiated management strategies and cannot meet the needs of refined management for watershed agricultural production safety and flood control and disaster reduction.

Method used

The optimal precipitation prediction model is selected through multi-mode evaluation, the precipitation sequence is corrected, the inundation situation is simulated using a hydrological-hydrodynamic coupling model, and farmland inundation risk zones are generated based on a hierarchical index system to formulate differentiated management strategies.

Benefits of technology

It improves the reliability of precipitation input data, enables more refined descriptions of watershed inundation range and water depth, and allows for the formation of targeted management strategies, supporting watershed flood control, disaster reduction, and agricultural adaptation planning.

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Abstract

This invention discloses a method for assessing farmland inundation. The method includes: evaluating multiple precipitation prediction models based on precipitation indices, and selecting the optimal model from among them; correcting the precipitation sequence of the optimal model, extracting extreme precipitation sequences, analyzing precipitation data based on the extreme precipitation sequences, and inputting the precipitation data into a preset hydrological-hydrodynamic coupling model; overlaying the inundation results output by the hydrological-hydrodynamic coupling model with pre-stored farmland spatial data to identify farmland inundation units and clarify the farmland inundation situation; classifying the farmland inundation situation based on a preset hierarchical index system to generate farmland inundation risk zones; and forming differentiated management strategies based on different farmland inundation risk zones. The technical solution of this application can conduct accurate quantitative assessments of watershed flood inundation and farmland exposure under multiple scenarios, providing scientific support for watershed flood control and disaster reduction and agricultural adaptability planning.
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