A method for inverting groundwater solute transport parameters considering mixing effects

By constructing a groundwater solute transport model that considers the mixing effect and deriving analytical solutions using the Green's function method, the problems of insufficient simulation accuracy and computational efficiency in existing technologies are solved, achieving high-precision and simple parameter inversion, which is suitable for the prediction and treatment of groundwater pollutants.

CN116227107BActive Publication Date: 2026-05-26CHINA UNIV OF GEOSCIENCES (WUHAN)

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA UNIV OF GEOSCIENCES (WUHAN)
Filing Date
2022-09-08
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing groundwater solute transport models have shortcomings in terms of simulation accuracy and computational efficiency, especially the neglect of mixing effects, which leads to low simulation accuracy and computational complexity, as well as the low computational efficiency of existing analytical models.

Method used

By collecting time-series tracer concentration data, we constructed boundary and initial conditions that consider the mixing effect, derived analytical solutions using the Green's function method, wrote a program to perform numerical calculations, and obtained key parameters through inversion.

Benefits of technology

It improves the accuracy of groundwater solute transport simulation, simplifies the calculation process, and is applicable to the prediction and treatment of pollutant migration and transformation processes in engineering applications.

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Abstract

This application discloses an inversion method for groundwater solute transport parameters considering mixing effects. The method incorporates mixing effects when constructing the mathematical model of groundwater solute transport and employs the Green's function method to obtain analytical solutions, significantly improving the simulation accuracy of groundwater solute transport and simplifying the calculation process. This method can be used to invert and set key parameters in groundwater solute transport models, solving the parameter identification problem in numerical simulations of groundwater solute transport. Due to its computational simplicity, this method is easier to apply in engineering projects compared to existing methods, providing technical support for the prediction, assessment, and remediation of groundwater pollutant migration and transformation processes in engineering applications.
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