19 results about "Preferential flow" patented technology

The invention discloses a landfill well group optimization layout method based on permeability coefficient field inversion, relates to the field of well group optimization layout, and aims to utilize a finite element forward model to couple observation water level data and perform dimension reduction processing on grid nodes through characteristic decomposition. The technical core is that a bimodal distribution nonlinear mapping mechanism is introduced, and a low-dimensional parameter vector obtained by inversion is reconstructed into a high-resolution permeability coefficient field with clear space information of a fracture domain and a matrix domain. And according to the physical field distribution, a potential poor wetting area is positioned by identifying the position of a preferential flow channel and a hydraulic response blind area caused by the preferential flow channel. And based on the spatial relationship between the geometric centroids of the blind areas and the heterogeneous flow field, performing targeted correction and encryption on the initial well group coordinates. In this way, the technical problem that in the prior art, precise well spacing cannot be conducted according to the complex structure in the landfill is effectively solved.

The invention relates to a soil priority flow and influence factor real-time evaluation method and system, and relates to the technical field of soil monitoring, and the method comprises the steps: obtaining a priority flow region, image information, climate information and soil monitoring information of a target soil region at the current moment; determining a potential priority flow risk area in a target soil area based on the priority flow area and soil monitoring information; on the basis of the image information, crop information of the potential priority flow risk area is determined, and the crop information comprises crop types, coverage conditions and crop growth vigor; and based on the prediction time, the crop information, the climate information and the soil monitoring information of the potential priority flow risk area, determining a soil priority flow formation probability, a flow speed and an influence area range of the potential priority flow risk area. The method has the advantages that the risk of the potential risk area of the priority flow can be evaluated more comprehensively, and the planting layout of crops is reasonably arranged.

The application discloses an ion type rare earth ore in-situ leaching intelligent mining system, which comprises a liquid injection mechanism, a plurality of second flow meters, a plurality of flow control valves, an acoustic emission assembly and a controller. The liquid injection mechanism comprises a liquid injection main pipe and a plurality of liquid injection branch pipes, one end of the plurality of liquid injection branch pipes is communicated with the liquid injection main pipe, the other end of the plurality of liquid injection branch pipes is respectively arranged in a corresponding liquid injection hole, and the liquid injection branch pipe is provided with the second flow meter and the flow control valve. The acoustic emission assembly comprises a plurality of acoustic emission probes and an acoustic emission device, wherein the plurality of acoustic emission probes are arranged on the mine in a preset arrangement strategy, and the plurality of acoustic emission probes are connected with the acoustic emission device. The controller is connected with the liquid injection mechanism, the second flow meter, the flow control valve and the acoustic emission device. Thus, the leaching liquid can be uniformly distributed in the mine during the ion type rare earth mining process, the accidents such as landslides and collapses caused by preferential flow are avoided, and the life safety of personnel is ensured.

The invention relates to the technical field, in particular to a soil priority flow degree measuring and evaluating method based on an intelligent sensing element, in the method, by extracting the moisture content variable amplitude in a sensing node response sequence and combining the node space angle difference, a marking structure with the sudden change direction is constructed, dynamic spatialization expression of the local water potential is effectively achieved, and the measuring accuracy of the soil priority flow degree is improved. The modeling operation of the node connection relation is combined with the path directivity information, the continuity expression ability of the jump response is improved, the segmentation identification of the path spatial form is realized, and through the scoring mechanism constructed by the amplitude peak value extraction and path frequency statistics, the method has the advantages of high efficiency and high reliability. According to the method, the spatial analysis precision, the time process coherence and the jump path judgment accuracy are integrally improved, so that the identification of the preferential flow path in the soil body has a higher automation level, a standardized and stable judgment result can be formed, and moisture migration risk assessment and resource regulation and control strategy output under multiple scenes are supported.

A variety of methods and apparatus are disclosed, including, in one embodiment, a bailer to collect debris from a wellbore, the bailer including a passive check valve to provide preferential flow through an annular path over a central path of the bailer with the flow of debris-laden fluid and filtered fluid in an uphole direction through the bailer and provide preferential flow through the central path over the annular path with the flow of fluid in the downhole direction.

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.

The invention relates to the technical field of soil moisture movement, in particular to a soil priority flow analysis method, device and equipment, a medium and a product, and the method comprises the following steps: obtaining a dyeing profile image of a target soil area; wherein the target soil area is dyed with a fluorescent pigment solution; performing color correction and binarization processing on the dyed profile image to obtain an optimized image; identifying a gray value of each pixel in the optimized image; and based on the gray value, analyzing the soil priority flow condition of the target soil area. The target soil area is dyed through the fluorescent pigment solution, the movement speed of fluorescent pigment molecules and water molecules in the soil is equivalent, the phenomenon that water and a dyeing agent are separated is avoided, the method is harmless to the soil body, the color is bright, the tinting strength is high, the dosage is small, the performance is stable, and the price is low; typical spatial distribution characteristics of macropore flow development can be revealed.

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.

The invention is suitable for the field of drip irrigation equipment, and provides a microgravity variable irrigation emitter and an irrigation method thereof.The microgravity variable irrigation emitter is characterized in that firstly, water flow enters a flow channel part through a water inlet of the irrigation emitter, disturbance is formed on the water flow of the flow channel part through a side wall micro-protrusion structure, water flow energy dissipation is increased, and under an ultra-low pressure water head (0.5-1 m), namely by means of the small position height difference of a water source, water flow energy dissipation is increased; traditional power energy is not needed, and long-distance laying of the irrigation emitter can be achieved; the preferential flow channel structure of the microgravity irrigation emitter does not have a low-speed area, so that the anti-blocking performance is greatly improved, and the dependence of a drip irrigation system on water source filtration is reduced; besides, different working pressures are adopted, application of various scenes such as irrigation, salt pressing and underground drip irrigation can be achieved, and the problems that a traditional irrigation emitter and a drip irrigation belt cannot be effectively applied under the condition that traditional power energy is limited and the water quality is complex in a rainwater collection and supplementary irrigation area in China are solved.

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.

The invention discloses a water and soil loss simulation method and system under the action of surface runoff-soil priority flow in a coal mining subsidence area, and belongs to the technical field of ecological environment simulation in a coal mining area. The method comprises the following steps: collecting multi-dimensional data of the subsidence area, preprocessing the collected multi-dimensional data, and establishing an associated database; establishing a subsidence area landform and fracture dynamic evolution model based on the association database; rainfall scenes of different stages are established based on the association database; performing surface runoff and soil priority flow coupling simulation through the coupling model; a simulation result is verified, and model correction and parameter adjustment are carried out on landform simulation errors and priority flow simulation errors respectively; the simulation result is visually displayed, and a standardized simulation report is generated and output; according to the method, the water and soil loss mechanism of the coal mining subsidence area can be comprehensively analyzed, key indexes such as the surface runoff and the soil erosion modulus are accurately obtained, and a scientific basis is provided for formulating ecological restoration and prevention and control strategies.

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 belongs to the technical field of micro-interface dynamics research, and relates to a method and system for realizing prediction of micro two-phase interface imbibition behavior of porous media, comprising: obtaining a pore network composed of pores and throats according to a target porous medium; calculating the flow rate of injected two-phase fluid at the throat; calculating the fluid flow rate under the main interface displacement mode and the wetting mode displacement mode respectively according to the flow rate of injected two-phase fluid at the throat; determining the displacement mode of the two-phase fluid interface according to the fluid flow rate ratio under the two displacement modes; calculating the corresponding flow resistance at the throat according to the displacement mode of the two-phase fluid interface; updating the motion control equation of the two-phase fluid according to the flow resistance, thereby completing the prediction of the micro two-phase interface imbibition behavior of the porous medium. The present application clearly defines the preferential flow path and dynamic evolution mode of different types of interfaces in the displacement process in the complex pore structure of the porous medium, and realizes accurate discrimination of the fluid interface type under transient conditions.

The present application relates to a kind of identification method of dominant percolation channel, belong to oilfield development technical field.The present application first describes the basic geological characteristics of reservoir according to the geological element influencing dominant percolation channel;According to the historical well pattern adjustment data, determine injection-production well pattern, different well group injection-production effect direction parameter value obtained from historical production situation;Then, according to the reservoir engineering method, determine the water passing multiple and permeability in injection-production effect direction;Comprehensive production dynamic monitoring data further analyzes the water passing multiple in different injection-production direction, and determines the lower limit value of physical property and water passing multiple in different level dominant percolation channel;Finally, delineate different level dominant percolation channel, realize the identification of dominant percolation channel.The present application integrates dynamic and static data, overcomes the traditional dynamic monitoring data-based dominant channel identification, improves the precision of dominant percolation channel prediction.

The invention provides a biochar deep construction technology and equipment, and belongs to the field of planting. The biochar deep construction technology comprises the steps of application area selection, biochar selection and biochar application. Biochar is deeply applied in an application area, the biochar at least forms an isolation layer in a preferential flow intense development layer of the application area, a fertilization and irrigation area is scientifically selected as the application area, and the biochar accurately forms the isolation layer in the preferential flow intense development layer of the application area. Nutrient loss is reduced from four aspects of physical barrier, chemical adsorption, microbial immobilization and soil structure improvement, and non-point source pollution is prevented and controlled. The biochar deep application equipment is used for forming the biochar isolation layer, and is simple in structure and convenient to use.

The invention relates to the technical field of mining engineering, environmental geotechnical engineering and water and soil conservation, and particularly discloses a coal mining subsidence area water and soil loss similar simulation device and experimental method.The coal mining subsidence area water and soil loss similar simulation device comprises a support and an experimental box, the experimental box is installed on the support, an experimental soil body is arranged in the experimental box, and a subsidence crack simulation system is arranged in the experimental soil body; the top of the experiment box is matched with a rainfall system; the subsidence fracture simulation system comprises a middle box body arranged in the middle of the experiment box, the middle box body is embedded in an experiment soil body of the experiment box, an experiment soil body is also arranged in the middle box body, and one or more fracture plates are embedded in the middle box body in a matched mode. The method can physically reproduce a complete erosion path of'surface runoff collection-fracture preferential flow-lateral matrix infiltration 'of the subsidence area, and accurately quantify the effect of the fracture in acceleration of water and soil loss.

The invention discloses a bionic-driven soil infiltration process simulation optimization method, which comprises the following steps: preprocessing and standardizing multi-source data, and enabling a root system voxel unit to correspond to a hydraulic response of a specific time step through a time-space registration unified coordinate system; a model architecture fusing root system features and infiltration dynamics is constructed, and a cross-modal fusion cross attention mechanism module realizes bidirectional mapping of spatial features and time features and embeds physical constraints; training and optimizing the model by adopting a staged course learning strategy, adjusting the learning rate through a physical perception optimizer, and improving the generalization ability of the model in combination with importance sampling and adversarial training; and outputting a priority flow prediction result based on the trained model, and analyzing the prediction result from microcosmic, mesoscopic and macroscopic scales through an interpreter. Therefore, the method has the advantages of high prediction precision, strong applicability, low parameter acquisition cost, introduction of a dynamic mechanism, physical rationality and the like.

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.