An automatic parameter calibration method and system for a surface water-groundwater coupling model

By fusing multi-dimensional data, identifying and matching disturbances in a surface water-groundwater coupling model, a dynamic constraint network is constructed, which solves the problem of inaccurate parameter calibration in existing technologies and achieves efficient optimization of steady-state response feature matching and parameter adjustment.

CN122133083AActive Publication Date: 2026-06-02CHINA UNIV OF GEOSCIENCES (WUHAN)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA UNIV OF GEOSCIENCES (WUHAN)
Filing Date
2026-05-06
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing methods for calibrating parameters in surface water-groundwater coupled models fail to effectively integrate multi-dimensional measured data with simulation output data, cannot identify unstable response characteristics, resulting in inaccurate parameter matching, inability to construct dynamic constraint networks, inability to locate key transmission parameter nodes, and inability to optimize parameter adjustment schemes.

Method used

By fusing multi-dimensional measured observation sequences with model simulation output sequences, coupled hydrological data entities are constructed. Perturbations are applied to identify unstable response characteristics, and unstable responses are filtered out to form perturbation-free steady-state data entities. These entities are then matched with a multi-mode parameter response template library to generate a hierarchical set of model parameter feature clusters. A dynamic constraint network is constructed, and synchronous optimization and cross-validation are performed to locate key transmission parameter nodes and optimize parameter adjustment schemes.

Benefits of technology

It achieves steady-state response feature matching of multi-dimensional data, removes non-steady-state interference, and generates parameter adjustment instructions that are adapted to the coupled system, thereby improving the accuracy and efficiency of parameter calibration and conforming to the actual operating state of the coupled hydrological system.

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Abstract

This invention relates to the field of hydrological model parameter calibration technology, specifically to an automatic parameter calibration method and system for a surface water-groundwater coupled model. The method includes: acquiring multi-dimensional measured and model simulation output sequences of the surface water and groundwater subsystems; fusing and constructing coupled hydrological data entities containing time-varying and spatial distribution characteristics; separating unstable response features based on spatiotemporal deviations after applying perturbation; filtering out these features to form a de-perturbed steady-state data entity and matching it with a multi-mode parameter response template library; generating a hierarchical model parameter feature cluster set through adaptive structural decomposition; constructing a dynamic constraint network for surface water and groundwater parameters; obtaining a preliminary adjustment scheme through synchronous optimization and cross-validation; locating key transmission and boundary interaction parameter nodes; optimizing the scheme path; and generating the final parameter calibration instruction sequence. This method eliminates non-steady-state data interference, adapts to the parameter correlation characteristics of the coupled system, and achieves adaptive and precise execution of parameter calibration.
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