59 results about "Rainfall infiltration" patented technology

The invention discloses a slope rainfall infiltration stability dynamic evaluation and landslide prediction method. The method comprises the following steps: constructing a numerical model coupling rainfall infiltration and slope stress field response; integrating multi-source data, and updating model boundary conditions in real time; performing dynamic stability evaluation based on a local safety coefficient method; and training a landslide prediction model and realizing intelligent early warning identification. The seepage-stress-strength three-field coupling numerical model is provided, the physical response process of the unsaturated soil body is dynamically simulated, the precursor mechanism of rainfall-induced landslide can be truly restored, and prediction scientificity and accuracy are improved; remote sensing topographic data, soil property survey parameters and real-time meteorological monitoring information are integrated, model boundary conditions and initial states are dynamically updated through a system interface, real-time response to environmental changes is achieved, and simulation reliability is improved; a local safety coefficient evaluation mechanism is introduced, and a continuous weak region discrimination algorithm is combined, so that space identification and time sequence tracking of a potential slip region and a damage zone are realized, and the slope stability analysis refinement level is improved.

The invention provides a landslide prediction method and system based on big data analysis, and relates to the technical field of big data analysis, and the method comprises the following steps: obtaining multi-source geological data of a target region, constructing a three-dimensional geological model, and dividing slope units; calculating an initial safety coefficient of each slope unit by adopting a limit equilibrium method and Monte Carlo simulation; acquiring real-time monitoring data, establishing an inverse analysis optimization model, and inverting and calibrating physical and mechanical parameters; updating calibration parameters to the model, coupling rainfall infiltration and underground water seepage simulation, dynamically updating a pore water pressure field, and calculating a real-time dynamic safety coefficient; and according to a comparison result of the dynamic safety coefficient and a preset threshold value, determining the stable state of the slope and sending out corresponding early warning. According to the method, through multi-source data fusion, parameter dynamic inversion calibration and real-time hydrological and mechanical coupling simulation, accurate and dynamic evaluation and graded early warning of slope stability are realized, and the accuracy and timeliness of landslide prediction are remarkably improved.

The invention relates to the technical field of geotechnical engineering safety monitoring and evaluation, in particular to a soft rock slope stability dynamic evaluation method which comprises the following steps: S1, acquiring slope environment parameters, construction parameters and geological basic parameters; s2, through simulation of the whole rainfall infiltration process, the spatio-temporal evolution characteristics of pore water pressure in a slope rock stratum are quantified, the aging relation between soil shear strength degradation caused by rainwater and slope displacement is analyzed, and a slope instability threshold calculation model is established; and S3, analyzing the monitored deformation and displacement cumulative effect of the slope and the migration characteristics of the rock stratum slip plane under the load action of the construction vehicle, and constructing a rock stratum instability risk assessment model based on the construction parameters. By comprehensively considering the influence of environmental parameters, construction parameters and geological basic parameters on the slope stability, dynamic evaluation and graded early warning of the slope stability are realized, a construction scheme can be pre-evaluated, and a construction reference is provided for safety management and control of a soft rock slope project.

The invention discloses an urban scale rainfall absorption and vegetation configuration collaborative optimization evaluation method, which belongs to the field of urban rainfall flood management optimization, and comprises the steps of performing integration and rainfall event identification on basic data of an urban region; physical mechanism inference is carried out by constructing multiple physical gating such as energy consistency, wet surface dissipation and geometric radiation sensitivity, and underlying surface hydrological response characteristics are obtained; constructing and solving a robust optimization model in combination with the underlying surface hydrological response characteristics and a preset planning target, and determining an optimal vegetation configuration scheme; and carrying out back substitution on the optimal vegetation configuration scheme to carry out closed-loop check and effect evaluation. According to the method, the hydrological response characteristics of the urban underlying surface can be accurately quantified, the vegetation configuration scheme with the definite achievement probability and the controllable risk is formulated under the uncertain condition, and the scientificity and the reliability of urban water resource toughness planning are improved.

The invention relates to the technical field of foundation pit dewatering, in particular to a foundation pit dewatering dynamic optimization method and system based on intelligent regulation and control. The method comprises the following steps: performing dynamic filtering processing on real-time water level data to obtain a water level prediction deviation; dynamically correcting the permeability coefficient through pore water pressure to obtain dynamic geological parameters; combining the water level prediction deviation, the dynamic geological parameters and rainfall infiltration replenishment to obtain rainfall demand characteristics; calculating a safety efficiency tradeoff coefficient according to the rainfall efficiency and the risk coefficient; and based on the rainfall demand characteristics and the safety efficiency tradeoff coefficient, using an improved particle swarm optimization algorithm to solve a dynamic rainfall scheme. Through multi-source data dynamic feature extraction, scene adaptive weight optimization and multi-dimensional risk coupling evaluation, high-precision control of the water level is realized, the safety risk and energy consumption are reduced, multiple scenes such as soft soil and sandy soil are adapted, and an effective scheme is provided for intelligent regulation and control of foundation pit dewatering.

The invention provides an anchoring slope landslide instability risk evaluation method under a rainfall condition, and belongs to the technical field of geotechnical engineering and geological disaster prevention and control, and the method comprises the steps: constructing a theoretical calculation formula of a multilayer rock-soil body anchoring slope stability coefficient under a rainfall infiltration effect based on a segmented slip plane method; based on a Monte Carlo probability analysis framework, introducing a reliability index, and establishing a slope reliability integrated evaluation model; acquiring soil body, rainfall, support and geometric parameter data of the side slope; defining various parameters as random variables, and performing large-scale sampling calculation based on the theoretical formula; counting probability distribution of the stability coefficient, and solving a reliability index and a failure probability; establishing a risk monitoring criterion, and judging whether each index exceeds a permissible value or not; and implementing risk dynamic early warning based on a judgment result. According to the method, an integrated evaluation technology system for the reliability of the anchored side slope under rainfall suitable for the multi-layer rock-soil body is constructed, and efficient quantification of the reliability of the side slope under the multi-parameter coupling effect is achieved.

The invention provides a method for preventing and controlling nitrogen and phosphorus loss of sandy and dry cultivated land based on EICP root reinforcement and relates to the field of soil ecological protection and agricultural pollution prevention and control. According to the method, a three-dimensional prevention and control system is formed from the two dimensions of surface layer film covering protection and deep root system soil fixation through the synergistic effect of EICP film covering and local plant root system three-dimensional reinforcement, wind erosion and water erosion are effectively resisted, the soil nitrogen and phosphorus loss rate of the large-gradient sandy and dry cultivated land is remarkably reduced, and meanwhile the soil desertification process is slowed down; the EICP film covering layer has good water permeability and moisture retention, nitrogen and phosphorus loss can be prevented, rainfall infiltration and soil moisture conservation can be guaranteed, and the germination rate and the growth speed of crops are increased; according to the method, local crop root system reinforcement is selected, the original planting structure is not disturbed, the economic benefit of cultivated land yield per mu is guaranteed, a harmless means of combining microorganisms, geotechnical engineering and agricultural planting is adopted, external pollution sources are not introduced, original basic characteristics of soil are not damaged, and the requirement for ecological protection of the Yellow River basin is met.

The invention relates to the technical field of geological disaster monitoring, in particular to a rock collapse accumulation body debris flow tendency intelligent evaluation system and method based on multi-parameter coupling. The method comprises the following steps: acquiring geological structure data of a rock collapse accumulation body; performing potential unconsolidated formation analysis according to the geological structure data to obtain potential unconsolidated formation data; performing rainfall infiltration analysis according to the potential unconsolidated formation data to obtain infiltration rate data; determining the water content state of the accumulation body according to the infiltration rate data; performing stability analysis according to the water-containing state of the accumulation body to obtain accumulation body stability data; identifying a potential sliding section based on the accumulation body stability data; detecting flow energy according to the potential sliding section to obtain sliding power data; and performing hydrological confluence analysis according to the geological structure data to obtain hydrological confluence data. According to the method, the accuracy of identifying and evaluating the debris flow tendency of the rock collapse accumulation body is improved based on a geological disaster monitoring technology.

The invention relates to the field of specific calculation models, and discloses a natural regulation type salinized soil desalination simulation and multi-objective optimization configuration method, which comprises the following steps of: 1, data acquisition and earlier stage processing; 2, constructing a water and salt migration model; step 3, simulation analysis and scheme optimization; 4, carrying out substitution model training and multi-objective optimization; the final scheme is directly used for guiding engineering implementation, and specifically comprises the steps of determining the terrain adjustment amplitude, the position and depth of a drainage ditch, the micro-topographic relief scale, the earth filling and digging volume and shallow guide and drainage path configuration. The method has the beneficial effects that the natural drainage capacity of regional underground water can be remarkably improved, the effect that evaporation drives salt to move upwards is weakened, the rainfall infiltration capacity is improved, and the natural leaching effect is enhanced. The method is suitable for areas such as mud flats, salt pans and natural reserves where artificial engineering measures are not suitable to be taken, and has the advantages of low cost, high stability, ecological friendliness and the like.

This invention provides an indoor testing device and method for the surface impermeability and erosion resistance of ecological slope protection. It includes a slope simulation device with a rainfall simulation device mounted above it. The slope simulation device comprises an inclined soil-rock bearing device and a slope soil-rock layer, on which a vegetation layer is arranged. The slope simulation device is supported by a slope adjustment device. The erosion material collection device includes a mud-water collection tank, a collection trough, and a collection container. The mud-water collection tank collects surface runoff and erosion material from the vegetation layer; the collection trough collects seepage water between the vegetation layer and the slope soil-rock layer; and the collection container collects mud-water that has infiltrated below the slope soil-rock layer. This invention considers the runoff at the interface between the substrate and the slope, comprehensively analyzes the infiltration patterns of rainfall on the slope, and provides data and basis for numerical simulation and analysis processes. It provides a more accurate quantitative evaluation of the impermeability and erosion resistance of vegetation, and is more rigorous than existing testing methods.

The application discloses a landslide danger assessment method under rainfall conditions and relates to the technical field of landslide disaster early warning, and comprises the following steps: a multi-source sensing monitoring network is constructed, surface deformation data, deep state data and environmental parameter data of a landslide body are collected in real time, based on the data monitored by the multi-source sensing monitoring network, an abnormality detection algorithm is used to identify precursor events before landslides, and the precursor events are classified into micro-disturbance events, significant abnormality events, pre-landslide precursor events and landslide occurrence events. According to the application, a segmented state transition equation is constructed based on the three-stage theory of creep, the initial creep, constant-speed creep and accelerated creep stages are automatically identified by means of the stability coefficient and displacement acceleration, and evolution modes such as exponential decay, rainfall driving and exponential growth are respectively adopted, so that the whole process from rainfall infiltration to instability can be accurately described, and the early warning accuracy is improved.

The invention relates to the technical field of slope engineering and hydrogeological models, in particular to a method and system for defining a rainfall infiltration dynamic boundary of a rare earth slope liquid injection well and a medium. According to the method, a traditional single-factor judgment criterion is broken through by analyzing the mutual relation between the minimum rainfall duration of the slope surface accumulated water of the rare earth slope and factors such as rainfall intensity, slope gradient and soil initial moisture content and determining an influence value functional equation of each factor and through an information integration mode of factor multiplication, and the method is more accurate and reliable. A universal quantification tool is provided for dynamic conversion of the infiltration boundary in a complex geological environment; a least square method is introduced, a control equation of slope surface accumulated water minimum rainfall duration and rainfall intensity based on a specific slope is constructed, and the problem that an existing model cannot accurately achieve dynamic implementation conversion of liquid injection well rainfall infiltration boundaries under different rainfall conditions is solved. And the accuracy and the applicability of the rare earth slope seepage model on moisture transmission prediction under the rainfall condition are effectively improved.

The present application relates to the technical field of rainfall seepage physical simulation, and particularly relates to a rainfall seepage physical simulation experiment platform and an experiment method, comprising a base, a photogrammetry point, a Perspex baffle, a platform frame, a similar simulation coal rock stratum, a seepage monitor, a computer, a second plastic water pipe, a wastewater tank, a camera, a moisture sensor and a filter assembly, and the top outer wall of the base is fixedly connected with the platform frame; the present application is simple in experiment work, convenient in operation, high in practicability and safety, and accurate in obtained data, is suitable for a coal seam mining simulation experiment process under rainfall conditions, can obtain physical parameters such as a migration law of overburden rock, a development law of mining fissure and rainfall seepage characteristics in a coal seam mining process under rainfall seepage conditions; simulation experiment data is monitored in real time through a three-dimensional photogrammetry system and a coal rock stratum seepage monitoring system, the influence of other factors on the similar simulation experiment data is reduced, and the stability and accuracy of the data are ensured.

The embodiment of the invention provides a tailing dam rainfall infiltration model test system and method under the freezing and thawing cycle effect, and relates to the technical field of tailing dam stability detection. The system comprises a pressure bearing box, an environment control device, a rainfall infiltration device and an intelligent monitoring device. Wherein a tailing dam model is arranged in the pressure-bearing box, the environment control device is communicated with the internal space of the pressure-bearing box, and environment parameters such as the test temperature, the test air pressure and the test oxygen concentration of the internal space of the pressure-bearing box can be adjusted. The rainfall infiltration device can simulate different rainfall phenomena according to meteorological data. The intelligent monitoring device can collect monitoring data through the sensor group and generate a test result for evaluating the stability of the tailing dam through the data processing unit. The system can simulate a low-pressure and low-oxygen environment and a freeze-thaw cycle phenomenon in a high-cold and high-altitude area, can realize dynamic process simulation of a tailing dam model under freeze-thaw cycle and rainfall conditions, and improves the accuracy of a test result.

The invention relates to the technical field of water and soil simulation analysis, and discloses a slope infiltration and stability analysis method, a medium and equipment. According to the method, seepage characteristics and a fractal theory are introduced, a GA model is improved, a new slope rainfall infiltration model is provided, the model is combined with groundwater distribution to establish a slope initial moisture content distribution model, a runoff-seepage coupling effect is introduced, and the influence of slope surface accumulated water on the infiltration rate is dynamically analyzed; the Mohr-Coulomb intensity criterion is optimized based on the saturated zone seepage effect and the fractal theory, the improved infiltration model is applied to limited slope stability analysis, and the limitation that a traditional model is only suitable for an infinite long slope is broken through; by comprehensively considering factors such as soil particle size characteristics, slope surface runoff, gradient, rainfall intensity and underground water level, the safety coefficient of each point position in the slope can be accurately calculated, and the accuracy of infiltration process description and the reliability of slope stability analysis under the heavy rainfall working condition are remarkably improved.

This application relates to the field of geotechnical engineering technology, specifically disclosing a tailings testing system and a tailings testing method. The tailings testing system includes: a tailings simulation device comprising at least three layers arranged vertically in sequence; an environmental simulation control device for applying time-series superimposed freeze-thaw cycle loads and rainfall infiltration loads to the tailings simulation device; and a detection device comprising a mechanical detection module, a heat-water-phase change detection module, and a chemical detection module. The mechanical detection module is located outside the tailings simulation device and is used to collect mechanical response data of the tailings simulation device. The heat-water-phase change detection module is embedded within the layered structure and is used to collect temperature data, pore water pressure data, and ice-water phase change data of the layered structure under freeze-thaw cycle loads and rainfall infiltration loads. The chemical detection module is located at the bottom of the tailings simulation device and is used to collect chemical characteristic data of the leachate after filtration through at least three layers of the layered structure.

The application relates to the technical field of water and soil simulation analysis, and discloses a slope infiltration and stability analysis method, medium and equipment. The method improves a GA model by introducing seepage characteristics and fractal theory, a new slope rainfall infiltration model is proposed, the model establishes a slope body initial water content distribution model in combination with underground water distribution, and the runoff-seepage coupling effect is taken into account to dynamically analyze the influence of slope surface water on the infiltration rate; the Mohr-Coulomb strength criterion is optimized based on the saturated zone seepage action and fractal theory, the improved infiltration model is applied to finite slope stability analysis, and the limitation that the traditional model is only applicable to infinite long slopes is broken; by comprehensively considering factors such as soil particle size characteristics, slope surface runoff, slope, rainfall intensity and underground water level, the safety factors of each point in the slope body can be accurately calculated, and the accuracy of the description of the infiltration process under the condition of heavy rainfall and the reliability of the slope stability analysis are significantly improved.

The invention discloses a sand vegetation coverage and hydrological parameter relationship determination system, which belongs to the technical field of ecological hydrological monitoring, and comprises a vegetation coverage measurement module, a soil moisture monitoring module, a rainfall infiltration monitoring module, a surface runoff monitoring module and a relationship analysis module, the vegetation coverage measurement module adopts a multispectral imaging technology to realize real-time automatic measurement, the soil moisture monitoring module adopts a distributed sensor array to realize multi-point multi-depth monitoring, the rainfall infiltration monitoring module determines infiltration rate based on dynamic change of soil moisture content, and the surface runoff monitoring module quantitatively measures runoff volume. The relation analysis module integrates data of all the modules to establish a vegetation-hydrological mutual feedback model, comprehensive continuous monitoring and quantitative analysis of the vegetation-hydrological process of the sand land are achieved, and a scientific basis is provided for ecological restoration effect evaluation and water and soil conservation engineering optimization.

The application is a landslide disaster-causing effect analysis method considering three-dimensional stability and finite difference, through FSLAM real-time calculation of groundwater level change under event rainfall, interaction with the stability analysis module, realizing closed-loop feedback of rainfall infiltration-stability coefficient-motion simulation; taking the stability coefficient as the strength reduction factor of Massflow input to dynamically adjust the material parameters, realizing full-chain analysis from instability judgment to motion simulation. Through the use of high-resolution DEM data, the sliding surface search range can be dynamically defined, supporting the modeling of non-circular surfaces and accurately capturing irregular geometric shapes. The limitations of simplifying the landslide geometry and soil mechanical properties in traditional two-dimensional analysis are overcome, the complex mechanical behavior in the landslide instability process is more accurately captured, and the reliability of stability calculation is improved.

The invention discloses a model test device and test method for simulating pavement collapse caused by rainfall infiltration, and the device comprises a bearing module, a rainfall regulation and control module, a particle collection module and a parameter monitoring module, so as to guarantee the operability and accuracy of the test. Wherein the rainfall regulation and control module controls the rainfall flow through a booster pump, a water inlet valve and a flow meter so as to trigger piping; the particle collecting module collects lost particles in a layered mode according to the depth, and the loss rule of the particles with different depths and particle sizes can be accurately analyzed by combining dyeing treatment on foundation soil particles in advance. The device is simple in structure and convenient to operate, the whole process that rainfall infiltration causes piping and causes pavement collapse can be effectively simulated, and the device can be used for researching the piping mechanism and the reinforcing effect of the reinforced embankment by laying the reinforced bodies at different heights of the embankment.

This invention discloses a water-soil synergistic pollutant migration perspective simulation chamber, comprising: a perspective simulation chamber main body, a hydraulic boundary simulation system, a sampling system, and an environmental simulation system; the perspective simulation chamber main body is equipped with a top cover; the interior of the perspective simulation chamber main body forms an accommodating space for filling simulated soil layers; the hydraulic boundary simulation system is connected to the perspective simulation chamber main body and is used to simulate groundwater seepage driven by water level difference, precipitation recharge driven by top infiltration, and discharge processes driven by extraction, either separately or simultaneously; the sampling system is located on the front side of the perspective simulation chamber main body for collecting water samples inside the chamber; the environmental simulation system is located on the rear side of the perspective simulation chamber main body for simulating different geothermal environments. This invention can simultaneously or alternately simulate the dynamic synergistic effects of rainfall infiltration, groundwater level fluctuations, and artificial extraction on pollutant migration, thereby improving the realism of the simulation experiment.

The invention provides a landslide motion simulation method considering terrain reconstruction, and solves the logic contradiction of the traditional method for simulating the initial motion by using the landslide terrain. The method comprises the following steps: acquiring high-precision terrain, volume, geological parameters and rainfall data after landslide; the landslide terrain is used as a starting point, and the landslide terrain is restored through volume conservation, reasonable flow direction and flow and rock-soil body strength adaptive constraint iterative correction; based on a reconstructed terrain, coupling rainfall infiltration, a pore water pressure evolution model and a material point method, a landslide movement process is positively simulated, and information such as speed, acceleration and accumulation depth is inversed. According to the invention, initial condition errors are eliminated from the source, the simulation precision is high, and a scientific tool is provided for landslide mechanism research and disaster prevention and control.

The invention discloses a multi-source index fused underground water ecological threshold grading dynamic early warning method. The method comprises the following steps: constructing an early warning index system including landform, aeration zone lithology, rainfall infiltration supply intensity, underground water level burial depth and TDS (Total Dissolved Solids); dividing the value range of the early warning index into continuous warning levels and assigning values; constructing a judgment matrix, determining a relative weight corresponding to the early warning index, determining a GWES, and carrying out early warning classification on the GWES; and setting a plurality of future early warning scenes to carry out early warning evaluation. According to the multi-source fusion early warning index system, the limitation of traditional single index evaluation is broken through; the GWES is determined through standardized assignment and index weight, so that the relative importance of each early warning index in an ecological system is reflected, the objectivity and ecological correlation of early warning grading are remarkably improved, the subjectivity of manual division is overcome, the data space heterogeneity feature is fully reserved, and the early warning grading efficiency is improved. And the early warning result can reflect the overall trend and the local difference.

This invention discloses a method for predicting extreme rainfall runoff and infiltration by fusing confluence calculation and neural networks. The method includes: constructing a two-way coupling mechanism between surface runoff and soil infiltration processes; dynamically allocating rainfall through runoff over-infiltration determination; feeding the runoff results as source terms to a GPU parallel confluence calculation framework; dynamically feeding soil moisture back to infiltration capacity calculation; and iteratively solving the water balance equation using an implicit or semi-implicit scheme. This method achieves dynamic coupling and collaborative simulation of multiple water cycle processes under a unified framework, solving the problems of separation between surface water dynamics and infiltration models, non-conservation of mass, and insufficient physical consistency under extreme conditions in traditional methods.

The application discloses a landslide sliding simulation method for real-time change of rock-soil body parameters under rainfall infiltration, and comprises the following steps: a particle discrete element method (DEM) landslide model is established, rock-soil body parameters and boundary conditions are set, static force balance calculation is carried out to obtain an initial state of the landslide; grid division is carried out, seepage calculation grids are established, initial water content and seepage parameters in the fluid grids are valued, and the grids are grouped according to the particles; the boundary conditions of the landslide model are set to simulate rainfall infiltration, and the water content in the fluid grids is stored at a fixed time interval; the stored grid water content is called to modify the rock-soil body parameters in the grids in real time, and whether the landslide slides at the rainfall moment is calculated and obtained; if the landslide does not slide, the water content stored in the grids at the next moment is called to modify the rock-soil body parameters, and the landslide is re-solved and judged; if the landslide slides, additional solving calculation is carried out to obtain the movement of the landslide after sliding and the final accumulation form. The application realizes the simulation of the space-time change characteristics of the water content of the rock-soil landslide under the rainfall infiltration, realizes the simulation of the sliding duration of the landslide, the movement of the landslide after sliding and the final accumulation form after sliding under the rainfall, and overcomes the defects that the rock-soil body parameters are fixed and unchanged in the previous research on the rainfall infiltration landslide movement process.

The invention provides a variable-gradient multifunctional rainfall infiltration and confluence production simulation experiment device and method, and relates to the technical field of hydrological experiments, the variable-gradient multifunctional rainfall infiltration and confluence production simulation experiment device comprises a sand box, a water separation pore plate is arranged in the sand box, so that the inner space of the sand box is divided into a front water collection tank and a rear sample tank, and a water flow partition plate is arranged in the middle of the water collection tank; an upper water hole is formed in the position, above the water flow partition plate, of the water separation hole plate, and a lower water hole is formed in the position, below the water flow partition plate, of the water separation hole plate; a rainfall simulation system; a gradient adjusting system; soil water content sensors are respectively arranged on the side surfaces of the sample tank, and two first flow meters are respectively arranged at the upper water outlet and the lower water outlet. The device and the method have the beneficial effects that supersurface runoff and underground runoff are effectively and reliably distinguished, then the infiltration process can be observed according to monitoring data of each soil water content sensor, and refined simulation of key hydrological processes such as infiltration dynamics of different gradients, runoff production, convergence and conversion and the like can be realized.

The invention relates to the technical field of free surface seepage, and discloses a free surface seepage global iterative solution method and system based on an immersive boundary method. The method comprises the following steps: acquiring seepage data such as dam seepage, slope rainfall infiltration and underground water coupling; generating a global computing grid, managing grid encryption / decryption, and recording node coordinates and a topological relation; outputting a water head / pressure field; the geometric accuracy of the free surface is maintained based on the real-time updating of the free surface position of the water head field; processing the constraint of a solid boundary on seepage, and converting a boundary condition into a global unified source item; carrying out global iteration; iterative convergence is judged, and the time step length is adjusted; analyzing the free surface seepage, comparing a global iteration result with an analysis result, and if a comparison result is greater than a preset error value, performing readjustment; and if the error value is smaller than the preset error value, outputting the free surface dynamic evolution video. According to the method, the calculation cost is reduced through global iteration and self-adaptive step length optimization, and efficiency and stability are both considered.

The application discloses a sand land vegetation coverage degree and hydrological parameter relationship measuring system and belongs to the technical field of ecological hydrological monitoring. The system comprises a vegetation coverage degree measuring module, a soil moisture monitoring module, a rainfall infiltration monitoring module, a surface runoff monitoring module and a relationship analysis module. The vegetation coverage degree measuring module realizes real-time automatic measurement by adopting a multispectral imaging technology. The soil moisture monitoring module realizes multipoint and multi-depth monitoring by adopting a distributed sensor array. The rainfall infiltration monitoring module determines an infiltration rate based on dynamic changes of soil moisture content. The surface runoff monitoring module quantitatively measures runoff. The relationship analysis module integrates data of all modules to establish a vegetation-hydrology mutual feedback model. The application realizes comprehensive and continuous monitoring and quantitative analysis of the sand land vegetation-hydrology process, and provides a scientific basis for ecological restoration effect evaluation and water and soil conservation engineering optimization.

The invention discloses a slope simulation test device considering a rainfall infiltration effect, relates to the technical field of slope simulation test devices, and aims to solve the problem of insufficient water seepage data acquisition precision in the slope simulation test device, the slope simulation test device comprises a simulation frame, the bottom end of the simulation frame is fixedly connected with a moving frame, and the top end of the simulation frame is provided with a spray head; a deep water seepage detection assembly is arranged in the simulation frame, the deep water seepage detection assembly comprises a soil seepage needle cylinder, the soil seepage needle cylinder is located in the simulation frame, a soil moisture sensor is arranged in the soil seepage needle cylinder, and a sliding groove hole is formed in the outer side of the soil seepage needle cylinder. The slope simulation test device considering the rainfall infiltration effect has the technical effects that the soil penetration depth of the soil infiltration needle cylinder is displayed in real time, the seepage amount of rainwater at different depths is detected in combination with the soil moisture sensor, seepage data of the slope at different depths can be accurately obtained, and an accurate basis is provided for experimental analysis.

The present application belongs to the technical field of geotechnical engineering test equipment, and relates to an instrument capable of simulating rainfall infiltration slope shear failure and a working method thereof. The instrument comprises a lower shear box and an upper shear box, the lower shear box is in communication with the inside of the upper shear box, the upper shear box is connected with the output end of a shear loading component, an axial loading component is arranged in the upper shear box, the lower shear box and the upper shear box are both communicated with a water supply device, an axial LVDT sensor, a shear LVDT sensor, a plurality of moisture sensors and a plurality of matric suction sensors are arranged, and the moisture sensors, the matric suction sensors, the axial LVDT sensor and the shear LVDT sensor are all connected with a data acquisition system. The present application can simulate the soil strength deterioration caused by the change of groundwater level and the slope shear failure caused by the change of effective stress, can carry out the creep shear failure and the experiment of effective stress reduction, and can realize the shear of the slope surface with different angles. The experimental data are comprehensive, and the conclusion is reliable.