Underground water organic pollution source inversion method based on hyper-heuristic homotopy algorithm

Abstract

The invention relates to an underground water organic pollution source inversion method based on a hyper-heuristic-homotopy algorithm, and the method comprises the following steps: building an underground water organic pollution multiphase flow migration numerical model according to observation data, and determining to-be-inverted pollution source characteristics, aquifer parameters and the value range of each variable in the model; preparing a training sample set; training a single machine learning substitution model of the multiphase flow numerical model; establishing a combined intelligent substitution model; establishing a non-linear programming optimization model for pollution source characteristic and aquifer parameter inversion identification, and coupling the integrated learning intelligent substitution model into the non-linear programming optimization model; solving the optimization model by using a hyper-heuristic homotopy algorithm, and carrying out inversion identification on a to-be-solved pollution source characteristic value and a to-be-solved aquifer parameter value; according to the method, the problem of underground water organic pollution source and multiphase flow migration parameter inversion can be solved, and a technical guarantee is provided for accurate simulation and prediction of spatial and temporal distribution of organic pollutants in underground water.

Description

technical field [0001] The invention relates to the technical field of groundwater numerical simulation inverse problems, in particular to a groundwater organic pollution source inversion method based on a hyperheuristic-homotopy algorithm. Background technique [0002] Organic pollutants have the characteristics of low water solubility, high toxicity and high interfacial tension. After entering the groundwater system, they will accumulate and stay at the top or bottom of the aquifer (the location of accumulation depends on the density of the pollutants being less than or greater than that of water). During the process, it is continuously dissolved and released into the water, causing serious and lasting pollution. In the actual remediation process of organic pollution, it is often faced with the difficulties of low pollutant removal rate, long time-consuming remediation process and high remediation cost. Therefore, it is particularly important to formulate a reasonable and...

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Problems solved by technology

[0003] However, groundwater is buried in the underground rock-soil medium, and groundwater pollution usually has the characteristics of concealment and discovery lag, resulting in people's lack of understanding and grasp of the status of groundwater pollution sources, and the migration process of organic pollutants in the groundwater system involves Many key parameters are difficult to obtain directly through current measurement methods

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