6 results about "Preferential flow" patented technology

The application provides a test pit with a function of preventing preferential flow caused by a side wall gap, comprising a test pit wall and a soil layer, the test pit wall forms an accommodation space, and the soil layer is arranged in the accommodation space, characterized in that at least one anti-seepage member is arranged on the inner side of the test pit wall, each anti-seepage member comprises a vertical flange arranged close to the inner side wall of the test pit wall, a horizontal flange extending towards the center of the test pit, and a flexible anti-seepage film connecting the vertical flange and the horizontal flange, the horizontal flange can be bent relative to the vertical flange to form a folded state or an unfolded state, and the anti-seepage member is arranged in the shallow soil layer close to the soil surface. The application prevents the preferential flow caused by the side wall gap by arranging the anti-seepage member.

This invention discloses a numerical analysis method for fluid-structure interaction (FSI) of unsaturated slopes under free drainage conditions, belonging to the field of numerical analysis technology for slope engineering. The method includes: constructing an unsaturated multi-source parameter model of the slope region; building a dynamic boundary model with hysteresis response and gradual release characteristics based on boundary element water content, water potential gradient, and rainfall input information; jointly updating the internal water content gradient, local structural changes, and permeability coefficient field of the slope; correcting the seepage direction through a path enhancement factor; and identifying local preferential flow channels and seepage concentration areas. Iterative solutions are then obtained through adaptive time step adjustment, residual convergence control, and anomaly element correction strategies. This method improves the physical consistency of the free drainage boundary description, enhances the ability to identify preferential flow channels and local seepage concentration areas, and improves the computational stability and engineering applicability of FSI analysis of unsaturated slopes.

This invention provides a method for identifying the preferential flow path of microplastics in groundwater, relating to the field of groundwater pollution monitoring. The method includes: marking microplastic particles with an organotantalum compound via bulk embedding; adding the microplastic particles to a groundwater simulation solution to prepare a tracer suspension; introducing the tracer suspension into a groundwater simulation system and conducting a preferential flow tracer experiment; setting sampling points at different spatial locations within the groundwater simulation system and collecting water samples from each sampling point; quantitatively analyzing the tracer signals of the water samples from each sampling point to obtain the organotantalum compound content at each sampling point; and determining the preferential flow path of the microplastics in the groundwater simulation system based on the organotantalum compound content at each sampling point. This method addresses the technical problem of the lack of existing technologies for systematically identifying the preferential flow path of microplastics in groundwater systems based on particle tracer signals.

This invention discloses a three-dimensional quantification method for subsurface lateral preferential flow in arid and hot valleys based on GPR (Geophysical Permeability Reduction) detection and SSIM (Spatial Infiltration Model) analysis. It integrates time-delayed GPR scanning with artificial infiltration experiments and applies SSIM analysis to depict LPF (Limited Placement Flow) path activation, network structure evolution, and humid zone distribution in a three-dimensional manner. This method achieves, for the first time, three-dimensional non-destructive quantification of the dynamics of the LPF network on arid and hot valley slopes. The established hydrogeophysical data acquisition and post-processing workflow provides a crucial and transferable research method for quantitatively analyzing the interaction between structural connectivity and process connectivity in slope runoff generation and confluence. This method overcomes the limitations of traditional two-dimensional slope LPF analysis by quantitatively characterizing the spatiotemporal dynamics of subsurface three-dimensional connectivity. It provides direct support for improving the water cycle mechanism in arid and hot valleys and improving hydrological models based on physical mechanisms, and provides a scientific basis for sustainable management decisions in water conservation areas of arid and hot valleys under climate change conditions.

This application relates to a high-precision magnetic imaging method, apparatus, equipment, and medium for underground dominant flow channels. The method includes: responding to the need for high-precision magnetic imaging of underground dominant flow channels, preparing a magnetotactic bacterial tracer fluid and constructing a target medium model; based on an underground flow field magnetic detection platform, controlling the injection of the magnetotactic bacterial tracer fluid into the target medium model and collecting magnetic field data throughout the seepage process; processing the magnetic field data using a geophysical inversion algorithm to obtain a magnetic parameter matrix; based on the relationship between penetrating magnetic signal characteristics, metal shielding coefficient, fluid shear rate, and macroscopic flow velocity, inverting the magnetic parameter matrix into a flow velocity vector field matrix; and obtaining the imaging results of the underground dominant flow channel based on the target medium model and the flow velocity vector field matrix. This solves the problems in related technologies, such as the inability to penetrate metal shielding structures, susceptibility to solid particle blockage, restricted transport, environmental background noise interference, and the inability to eliminate static background effects.

The present application relates to the technical field of saline soil improvement and monitoring, and specifically discloses a method for detecting and analyzing the effect of salt leaching of a coastal severe saline soil salt-blocking layer, which comprises: an intelligent sensing system deployed based on a research area, a distributed soil conductivity sensing array in the intelligent sensing system being used to obtain the spatial distribution of soil conductivity above the salt-blocking layer, an initial background field of salt leaching effect being constructed, and a potential failure area being located; an improved normalized difference water index and salt index spatial fusion algorithm being combined, image features of preferential flow paths being located by image recognition, and a failure area of the salt-blocking layer, i.e., a locally damaged or unevenly laid area, being determined; and high-density conductivity data above the salt-blocking layer being obtained by the distributed soil conductivity sensing array, an initial background field of salt leaching effect being constructed in combination with spatial interpolation and abnormal threshold extraction, and an abnormally high conductivity area being accurately identified, so that the defect that a traditional overall sampling cannot locate a local failure area is overcome, and a clear spatial direction is provided for repair.