76 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 provides an intelligent debris flow early warning method and system based on a physical model and an algorithm, and belongs to the technical field of geological disaster monitoring, and the method comprises the steps: S1, carrying out an indoor soil physical mechanics test, building a physical model, and carrying out the parameter calibration of the physical model through combining a stability criterion equation of a rainfall infiltration-matrix suction coupling effect; s2, simulating different conditions, and generating and outputting debris flow occurrence process data under different working conditions by the physical model; s3, taking the generation process data and the real-time monitoring data as input, constructing a two-channel input network, and training a correction model to obtain corrected response data; s4, on the basis of an SHAP interpretability framework, constructing a Bayesian probability early warning model driven by multi-source heterogeneous data; and S5, triggering real-time early warning of the early warning platform according to the debris flow real-time occurrence probability of the monitoring point, and constructing a mapping relation between soil deformation and critical parameters through dynamic simulation of a physical model on a soil mechanical behavior.

The invention discloses a method for calculating rainfall infiltration recharge groundwater under a variable burial depth scene, which comprises the following steps of: analyzing the comprehensive influence of rainfall and pre-rainfall groundwater burial depth on groundwater recharge groundwater, and constructing a corresponding segmented scene; constructing a rainfall infiltration phreatic water supply total amount model under a variable burial depth scene; constructing a distribution model of the total rainfall infiltration phreatic water replenishment amount; calibration of distribution model parameters; and the total amount model parameters are calibrated and substituted into a rainfall infiltration phreatic water replenishment total amount model for simulation, and the rainfall infiltration replenishment phreatic water amount is obtained. According to the method, the phreatic water supply amount is calculated by using the underground water burial depth and the rainfall data, the dynamic influence of the change of the underground water burial depth on the rainfall infiltration supply effect and the lag distribution effect of the rainfall infiltration supply phreatic water process are considered, and the problem that the after-rain infiltration supply amount is underestimated is effectively solved; and the method has a considerable practical application value for simulation of the phreatic water replenishment amount in a short period of time.

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 a landslide disaster-causing effect analysis method considering three-dimensional stability and finite difference, which comprises the following steps: calculating underground water level change under event rainfall in real time through FSLAM, interacting with a stability analysis module, and realizing closed-loop feedback of rainfall infiltration-stability coefficient-motion simulation; and the stability coefficient serves as a strength reduction factor input by Massflow to dynamically adjust material parameters, and full-chain analysis from instability judgment to motion simulation is achieved. By using high-resolution DEM data, the search range of the sliding surface can be dynamically defined, and the sliding surface is a three-dimensional sliding surface, so that modeling of a non-circular surface is supported, and irregular geometrical shapes can be accurately captured. The method overcomes the limitation of simplification of landslide geometry and soil mass mechanical characteristics in traditional two-dimensional analysis, more accurately captures complex mechanical behaviors in the landslide instability process, and improves the reliability of stability calculation.

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 belongs to the technical field of loess humidification deformation measurement, and provides a slope protection plant selection method and system based on rainfall infiltration simulation analysis, a rainfall capacity and infiltration depth relational expression is obtained through a simulation test, and a structure correction coefficient is introduced into the relational expression; the structure correction coefficient is a ratio of the infiltration depth determined by considering the void ratio of the soil body to the infiltration depth determined by not considering the void ratio of the soil body under the same infiltration depth; when the slope protection plants are selected, the infiltration depth, the infiltration lower interface and the like can be directly and quickly determined according to the rainfall and the relational expression of the rainfall and the infiltration depth, and powerful reference is provided for selection of the protection plants; the introduction of the structure correction coefficient realizes the consideration of the water absorption of soil particles through a simple calculation method, improves the accuracy of the relationship between the rainfall and the infiltration depth, and is beneficial to the accurate determination of the type of the protection plant.

The invention discloses a reservoir dispatching method for guaranteeing stability of a reservoir bank slope. The reservoir dispatching method comprises the following steps of collecting various data related to a small reservoir; evaluating the stability of the bank slope of the small reservoir; setting different risk scenes and carrying out risk prediction; formulating a reservoir scheduling scheme according to a risk analysis result; and dynamically adjusting the reservoir scheduling scheme according to the monitoring data. According to the method, the slope stability analysis model comprehensively considering various factors such as water level change and rainfall infiltration is established, the stability condition of the reservoir bank slope under different scheduling schemes can be evaluated more accurately, in the reservoir scheduling process, the maximization of a certain target is not pursued purely any more, and the stability of the reservoir bank slope is improved. Multiple targets such as slope stability, flood control benefits and power generation benefits are considered as a whole, an advanced multi-target optimization algorithm is applied, an optimal balance point among the targets is found, and a scientific and reasonable reservoir dispatching scheme which can guarantee stability of a reservoir bank slope and can also take the flood control benefits, the power generation benefits and the like into consideration is formulated.

The present invention discloses a calculation method for the rainfall infiltration recharge amount of phreatic water under the condition of variable buried depth, including: analyzing the comprehensive influence of rainfall amount and the pre-rain groundwater buried depth on the total phreatic water recharge amount, and constructing corresponding segmented scenarios; constructing a model for the total rainfall infiltration phreatic water recharge amount under the condition of variable buried depth; constructing a distribution model for the total rainfall infiltration phreatic water recharge amount; calibrating the parameters of the distribution model; calibrating the parameters of the total amount model, and substituting them into the rainfall infiltration phreatic water recharge amount model to simulate the rainfall infiltration recharge amount of phreatic water. This method calculates the phreatic water recharge amount by using the groundwater buried depth and rainfall data, considers the dynamic influence of the change in groundwater buried depth on the rainfall infiltration recharge effect and the lag distribution effect of the rainfall infiltration recharge process of phreatic water, effectively solves the problem of underestimation of the post-rain infiltration recharge amount, and has quite practical application value for the simulation of the phreatic water recharge amount in a short time period.

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.

The invention provides a waterlogging prediction method based on a behavior thermodynamic diagram and infiltration dynamic modeling, and the method comprises the steps: firstly dividing a space region based on topographic data, extracting a surface type, a soil attribute and vegetation information, and constructing an infiltration capacity model which can be dynamically adjusted along with rainfall and time; then combining the surface temperature and meteorological data to establish an evaporation model considering the urban heat island effect; further generating a behavior thermodynamic diagram by using the crowd trajectory data, and extracting a behavior feedback factor reflecting an abnormal movement mode; according to the method, rainfall, infiltration, evaporation, drainage capacity, behavior feedback factors and the like are fused, a machine learning model used for predicting the waterlogging probability of each region is constructed, a loss function is optimized by introducing a weight mechanism of the behavior feedback factors, and the response sensitivity of the model to a risk region is improved. The method gives consideration to the physical mechanism and social behavior characteristics, and improves the accuracy and timeliness of waterlogging prediction in a complex urban environment.

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.

The present invention discloses a comprehensive test platform for simulating shallow tunnel diseases, comprising: a test foundation pit, which is a dug cuboid foundation pit with an open upper part; a geotechnical similar material filled in the test foundation pit, and its upper surface is inclined; a tunnel similar model excavated in the middle of the geotechnical similar material and arranged along the length direction of the test foundation pit; a water pipe array at the bottom of the foundation pit, which includes multiple groups of water pipes laid side by side at the bottom of the test foundation pit, wherein its outlet end is used to introduce water into the test foundation pit and overflow into the geotechnical similar material; a water supply system connected to the inlet end of the water pipe array at the bottom of the foundation pit for supplying water to the water pipe array at the bottom of the foundation pit and adjusting the water level height on one side of the tunnel similar model in the test foundation pit; a drainage system for draining the water in the test foundation pit from the other side of the tunnel similar model. This comprehensive test platform realizes the consideration of the influence of rainfall infiltration, inclined groundwater level, eccentric load effect, and local surface load on the tunnel lining.

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 present invention discloses a method, device and electronic device for predicting the influence of rainfall infiltration on slope stability. The method comprises: constructing a first slope model through water level monitoring data and initial construction values; calculating the gravity and first pore pressure of the actual slope based on the initial construction values, and clearing the initial displacement field of the first slope model to obtain a second slope model; detecting the second pore pressure of the second slope model through a pressure probe, and setting a rainfall infiltration boundary condition on the second slope model based on the second pore pressure; taking the second pore pressure as the external stress of the stress field, and taking the volume strain as the source term of the seepage field for bidirectional coupling; calculating the plastic strain of the second slope model in the rainfall infiltration boundary process based on the initial construction values, and determining that the actual slope is in the first state when the plastic strain calculation no longer converges. The method can more accurately predict the influence of rainfall infiltration on slope stability, and can be applied to the field of predicting the influence of rainfall on slope stability.

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 present invention discloses an experimental device and method for simulating the swelling and shrinkage deformation of soil under the dynamic water saturation of wet-dry cycles and rainfall infiltration. The device includes a specimen cylinder, and the specimen is arranged inside the specimen cylinder; the loading end of the axial compression loading assembly is arranged above the specimen cylinder to apply axial compression to the specimen; the wet-dry cycle assembly is arranged outside the specimen cylinder to conduct wet-dry cycle tests on the specimen; the wet-dry cycle assembly includes a heating cylinder, which is sleeved outside the specimen cylinder, and a water storage cavity is formed between the two; the air outlet of the hot air source is communicated with the inside of the bottom end of the specimen cylinder to conduct dynamic hot air drying on the specimen; the water outlet end of the water circulation and water conservation device is communicated with the inside of the bottom end of the specimen cylinder, and the water inlet end of the water circulation and water conservation device is communicated with the top end of the heating cylinder. Water flows in from the bottom of the specimen cylinder to conduct dynamic water saturation on the specimen, then flows out from the top of the specimen cylinder and enters the water storage cavity, and then flows back through the pipeline connecting the heating cylinder and the water circulation and water conservation device, realizing dynamic water absorption by water flow and dehumidification by ventilation.

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 present invention relates to a typhoon rainstorm landslide warning method considering extreme rainfall and environmental variables. For the first time, the influence of different rainfall return periods is considered in landslide risk warning, and the coupling analysis of the topographic factors (DEM) of landslides and the time probability (return period) of rainfall is carried out. Based on the physical model FSLAM model, the influence of both antecedent rainfall and extreme rainfall on landslide stability is considered. The response sensitivity of grids to two different conditions of antecedent rainfall and extreme rainfall is analyzed based on the landslide risk judgment matrix, and the influence of unconditionally stable and unconditionally unstable regions is considered, so as to realize landslide warning considering rainfall infiltration on multiple time scales. It can carry out regional-scale landslide risk warning more reasonably and effectively, and play a certain guiding role in the disaster prevention and mitigation work of typhoon rainstorm-induced landslides.

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.