4 results about "Retardation factor" patented technology

The invention relates to the technical field of pollution detection, in particular to a pollution assessment method, system, equipment and medium for a refuse landfill, and the method comprises the following steps: firstly, obtaining full-spectrum induced polarization data of the landfill to construct a stratum electrochemical attribute model; resolving a retardation factor distribution field by using the physical and chemical parameters of the pollution carrier and the model; constructing a Darcy velocity field in combination with hydrogeological parameters, and generating a pollution carrier migration velocity field through retardation factor correction; and finally, streamline tracing simulation is executed based on the velocity field, so that a target monitoring well coordinate and a risk early warning level are output. The technical problems that the dominant flow channel of the structural fracture is difficult to identify under the complex geology and evaluation distortion is caused by non-synchronous migration caused by the interface electrochemical action of the micro-nano carrier in the traditional method are solved; accurate positioning of the hidden leakage channel and accurate prediction of the penetration time are achieved, and the early warning capacity and the management and control efficiency of landfill environment risks are remarkably improved.

This invention provides a method, system, and storage medium for optimizing parameters of a pyrite denitrification biological filter, relating to the field of water treatment technology. The method mainly includes: acquiring and standardizing basic data to form a dataset; calculating the suspended solids removal rate under different operating conditions, monitoring changes in filter layer porosity, and constructing a dataset of filtration performance indicators; determining key parameters such as the retardation factor, and constructing a calculation model of pressure and water quality cycles varying with filter layer thickness, combined with preset critical conditions; simultaneously establishing the models to derive the expression for the optimal critical filter layer thickness and the calculation relationship for the optimal operating cycle when water quality and pressure cycles are equal; and substituting actual operating parameters to output optimized operating parameters. This invention systematically solves the problems of subjective parameter settings and insufficient resource utilization in traditional methods, accurately locking the filter's operational equilibrium point, ensuring stable effluent quality, avoiding resource waste, adapting to different scenarios, eliminating the need for repeated experiments, significantly reducing commissioning costs, and improving the flexibility and efficiency of engineering applications.

This invention relates to the field of machine learning technology, specifically to an artificial intelligence-based method and system for identifying groundwater pollution sources. The method includes the following steps: acquiring concentration data and hydrological parameters to calculate spatial connectivity vectors; performing differential processing to generate node representations; filtering concentration sequences based on retardation factors to generate time segments and performing reverse ordering; fusing transfer representations and reverse-order segments to generate spatiotemporal aggregated content; and generating aggregated coordinates based on the spatiotemporal aggregated content for distance filtering to obtain results. In this invention, by acquiring three-dimensional coordinates and multi-source hydrological data, graph structure construction and matrix differential processing are performed to deeply analyze the intrinsic correlation of the hydrodynamic network. Sequences are filtered by retardation factors and integrated in reverse order to generate time segments. Aggregated content of spatiotemporal decay trajectories is constructed by fusing diffusion features. Reverse mapping is performed according to the dissipation law to locate the source, avoiding local misinterpretations caused by numerical fitting and effectively improving the accuracy and efficiency of tracing the source of solute leakage in the groundwater layer.

A non-equilibrium mass transfer model 79 This invention relates to a method for predicting the migration of selenium (Se) in granite fractures and its application, falling within the field of radionuclide migration prediction technology. By coupling the convection-dispersion equation with a two-point kinetic adsorption model and introducing key parameters such as the retardation factor, dispersion coefficient, and kinetic rate constant, this invention achieves the prediction of selenium migration in granite fractures. 79 A precise description of the nonequilibrium migration process of Se under complex hydrochemical conditions is presented. The model incorporates nonlinear least squares method for parameter inversion, significantly improving the fitting accuracy and mechanism analysis capability for the "breakthrough-plateau-tail" characteristics in the breakthrough curve. Validation demonstrates high stability and reliability under various hydrochemical conditions and effective extrapolation to 10-10. 3 -10 5 Predicting long-term migration behavior on an annual timescale provides insights for deep geological disposal environments of high-level radioactive waste. 79 Se's long-term migration risk assessment provides an efficient and interpretable analytical tool.