91 results about "Soil properties" patented technology

The invention relates to a soil microorganism recovery index processing method and system and electronic equipment. The method comprises the following steps: collecting a soil sample in a gradient sample area, and measuring soil microbiological indexes and soil attributes; taking the soil microorganism indexes as a mother sequence, taking the soil attributes as subsequences, calculating correlation coefficients and correlation degrees between the subsequences and the mother sequence, and determining key soil attributes influencing soil microorganism recovery; determining a weight value of the key soil attribute; based on the numerical values of the key soil attributes in the original ecological reference area and the damaged unrepaired area, combining the weight values of the key soil attributes, and adopting an improved soil restoration index model to calculate and obtain a soil microorganism restoration index; the technical problem that in existing mining area ecological restoration evaluation, an original ecological system is not used as a benchmark, and the soil microorganism restoration degree cannot be quantitatively represented is solved, and the technical effect of achieving objective, comparable and quantifiable accurate evaluation of the soil ecological function restoration degree is achieved.

The invention discloses a soil attribute high-precision mapping method and system for optimizing the sampling number by fusing an air-ground imaging hyperspectral technology, and belongs to the technical field of soil monitoring. The method comprises the following steps: collecting and preprocessing a regional unmanned aerial vehicle hyperspectral image; collecting a sample point soil sample and obtaining ground imaging hyperspectral data of the sample point soil sample; screening and optimizing a sample point subset based on ground imaging hyperspectral data, measuring the available phosphorus content and training a prediction model; segmenting and extracting a soil region in the unmanned aerial vehicle image by combining a vegetation index and a maximum between-cluster variance method; and carrying out wave band alignment and reflectivity correction on the ground imaging hyperspectrum and the unmanned aerial vehicle soil spectrum, complementing corrected unmanned aerial vehicle hyperspectral data, and inputting the corrected unmanned aerial vehicle hyperspectral data into a soil available phosphorus prediction model to carry out inversion mapping. The problems that ground imaging data coverage is insufficient and unmanned aerial vehicle data is easily affected by the environment are solved, and key technical support is provided for intelligent agriculture and accurate soil nutrient management.

The invention relates to an automatic control system and method for the ground angle of a rake lip of a trailing suction hopper dredger, the system comprises a rake arm / rake head hydraulic cylinder sensor, a data collecting and processing unit and monitoring software, and the rake arm / rake head hydraulic cylinder sensor is used for obtaining rake arm posture and rake lip hydraulic cylinder stroke information; the data collecting and processing unit is used for collecting sensor data, calculating the actual value of the current ground angle of the rake lip in real time, judging the deviation between the actual value and the current target ground angle, and if the deviation exceeds a preset tolerance threshold value, generating a rake lip angle control output signal and transmitting the rake lip angle control output signal to the rake lip angle hydraulic executing mechanism. The current ground angle of the rake lip is adjusted to be the target ground angle in real time; and the monitoring software is used for visually displaying the system state and supporting parameter configuration and remote access. Under the conditions of different construction areas, different digging depths and different soil properties, the rake lip is always kept within a set angle range, so that the rake head can break soil more favorably, and the construction efficiency and the operation stability of a ship are effectively improved.

The invention discloses a negative pressure screw anchor horizontal ultimate bearing capacity prediction method, and relates to the technical field of geotechnical engineering, and the method comprises the following steps: generating a construction resistance energy feature vector by using penetration time sequence data, inverting a soil body improvement factor through an energy-soil property mapping model, and correcting undisturbed soil parameters; and calculating and superposing the resistance of each subitem based on the correction parameter and the geometric parameter to obtain a predicted value. The method is used for solving the problem that an existing prediction method neglects the influence of construction disturbance on soil parameter remodeling, and consequently the bearing capacity prediction precision is insufficient.

The utility model relates to the technical field of hydraulic engineering, in particular to a foundation detection device for hydraulic engineering, which comprises a bottom plate and a sampling device, the upper surface of the bottom plate is fixedly connected with an assembly frame, the upper surface of the assembly frame is fixedly connected with a servo motor, the driving end of the servo motor is fixedly connected with a pneumatic rod, and the lower surface of the pneumatic rod is fixedly connected with a ground drilling rod. The lower surface of the bottom plate is rotatably connected with a round wheel, the sampling device is arranged on the surface of the bottom plate, the sampling device comprises a cylinder, and the cylinder is fixedly connected with the bottom plate. According to the utility model, when the earth drilling rod drills underground and then resets, the soft hairs timely scrape off the adhered soil, so that the sample collection is more complete, and the soil leakage loss is reduced; the original stratum information of the sample is retained to the maximum extent, reliable materials are provided for accurate analysis of the soil property of the foundation of the water conservancy project, the collected sample can be quickly and properly stored, the sample is prevented from being interfered by the external environment, the sample state is kept stable, and the subsequent long-time and high-precision detection requirement is met.

The present application relates to the technical field of ecological restoration, in particular to a new ecological substrate for ecological restoration of river bank slope and its preparation method and application. The raw materials of the new ecological substrate include planting soil, basalt fiber, nano-silicon dioxide and cement. The preparation method comprises the following steps: taking the planting soil, crushing, air-drying and then passing through a 2mm sieve; mixing and stirring the sieved planting soil, basalt fiber, nano-silicon dioxide and cement to obtain a solid mixture, then adding water to the solid mixture until the water content is 18.5-19.5%, and stirring uniformly to obtain the new ecological substrate. The new ecological substrate can greatly improve the strength of the soil, improve the toughness of the soil and enhance the anti-cracking property of the soil body, reduce the dependence on cement, and reduce carbon emissions. On the other hand, the substrate has a certain gain effect on plant growth, which can significantly promote the adjustment of soil properties and hydrological environment, and also has a positive effect on carbon sequestration.

This invention provides a method and apparatus for collecting earthworm burrow wall soil. The method includes collecting raw soil, adjusting the particle composition of the raw soil to obtain culture soil. A mesh screen is laid in a culture pot, and the culture soil is placed inside the mesh screen. Earthworms are placed in the culture soil, and the culture pot is placed in an incubator. The environmental parameters in the incubator are adjusted to allow the earthworms to construct burrows within the culture soil. A preset time is checked; if so, the culture soil is removed, and the burrow wall soil is peeled off. The culture soil balances plasticity and permeability to meet the needs of earthworm growth and burrow building during long-term cultivation. By adjusting the temperature, humidity, and light intensity in the incubator, the earthworms can fully construct burrows while maintaining stable burrow wall soil properties. A hard, pointed spoon is used to precisely peel off the burrow wall soil, ensuring that the burrow wall soil sample is free from cross-contamination and structurally intact.

The application discloses a soil property data layered database construction method, which comprises the following steps: collecting soil monitoring data and related data of a preset area, and preprocessing the soil monitoring data and the related data; calculating water and soil loss risk contribution degree depth weight based on soil erosion mechanism, acquiring texture continuity clustering weight according to continuous runs, judging and obtaining loss risk factors by parallel multi-conflict and conflict resolution through the water and soil loss risk contribution degree depth weight and the texture continuity clustering weight; calculating texture transfer entropy of different depths, determining that the current depth is a mutation point when the texture transfer entropy of two continuous depth points is greater than a mutation threshold, and adaptively optimizing layer section boundaries according to the mutation point to obtain layer section adjustment boundaries; and constructing a three-region interactive soil property data layered database according to the loss risk factors and the layer section adjustment boundaries, and outputting a target database.

This invention relates to the field of soil attribute prediction technology, and discloses a method and system for predicting soil attributes based on multi-source environmental and remote sensing data. The method includes: acquiring soil environmental and remote sensing image data of a target area, unifying and standardizing the spatiotemporal resolution to generate a standardized dataset; obtaining a feature matrix after fusion and dimensionality reduction, and using random forest and gradient boosting tree to conduct feature analysis and fitness assessment to determine an initial prediction model combination; adjusting weight parameters and feature mapping to form an adaptive prediction model; performing attribute prediction and combining anomaly detection and error correction to generate a prediction dataset; obtaining optimized distribution data through distribution calibration, spatial smoothing, and residual optimization; constructing and validating an attribute distribution map; and finally generating basic data for soil management strategies through confidence interval evaluation and data fusion. This method can solve the problem of insufficient prediction accuracy under complex working conditions.

The invention discloses a big-data-based cadmium accumulation character analysis method for multiflower kidney beans, and relates to the technical field of accumulation character analysis, and the method comprises the steps: collecting soil properties, environment information, multi-year grain cadmium and management records by taking a land parcel as a unit, constructing a land parcel safety index and an environment behavior feature vector, and dividing safety environment types; establishing a cadmium transmission meta-model in each safety environment type, and extracting a cadmium transmission fingerprint of the variety to obtain an inherent hazard baseline of the variety and a management controllable margin; calculating a safety margin, a safety yield, a safety profit and a multi-metal index based on the above results, setting a risk budget, and determining a safety domain and a minimum management adjustment amount; the safety characters are compared with agricultural land soil pollution risk management and control standards and food, green, organic and low-cadmium-accumulation variety guide rules, multi-year planting plans of land parcels, farmers and areas are formed, and safe utilization and income coordination of the multiflower kidney beans are achieved.

The invention relates to the technical field of fruit and vegetable cultivation, and provides a water chestnut fertilization influence analysis method based on principal component analysis, which comprises the following steps: setting a plurality of field trials for different nitrogen, phosphorus and potassium fertilization level treatment; measuring plant growth indexes, yield indexes, corm quality indexes and soil physicochemical property indexes of the treated water chestnuts; performing principal component analysis on the measured multiple indexes, and extracting principal components of which the characteristic values are greater than 1; calculating comprehensive scores of the processing according to the scores of the principal components and sorting the comprehensive scores; according to the comprehensive score, evaluating the comprehensive influence of different fertilization treatments on the growth, yield, quality and soil properties of the water chestnuts, and screening out an optimal fertilization combination. According to the method, the matching of medium-low nitrogen and phosphorus and medium-high potassium is clear, so that high yield and high quality are guaranteed, soil acidification can be effectively relieved, excessive consumption of nutrients is avoided, synergism of fertilizer saving, efficiency improvement, soil health and quality improvement is realized, and data support and quantitative decision basis are provided for scientific fertilization of the water chestnuts.

A soil property estimation device includes: captured image acquisition processor circuitry configured to acquire a captured image that is an image generated by capturing an image of a target region including soil in a state of shear failure caused by excavation of the soil; and soil property estimation processor circuitry configured to extract a failure region caused by the shear failure based on the captured image and to estimate a soil property that is a property of the soil based on the extracted failure region.

The invention discloses an intelligent prediction method for the remediation efficiency of acid-base obstacle soil based on machine learning. The intelligent prediction method mainly comprises the steps of subcritical carbon material directional preparation, soil acid-base obstacle simulation, remediation control and prediction model construction. The subcritical carbon material directional preparation comprises temperature setting, temperature rising, pressure stabilizing and cooling processes, the soil acid-base obstacle simulation comprises acidified soil simulation and salinized soil simulation, remediation control is carried out in the simulated acid-base obstacle soil, a comprehensive database containing subcritical carbon material parameters, soil properties and remediation effects is established, and the subcritical carbon material remediation method is applied to soil remediation. The model construction comprises subcritical carbon material classification, soil data acquisition, machine learning prediction and a restoration scheme generation module. The method overcomes the defects that a traditional method depends on experience trial and error and is low in precision and single in scheme, intelligent prediction of the remediation efficiency of the acid-base obstacle soil is achieved, and a scientific basis is provided for soil remediation engineering.

The invention discloses a water conservation evaluation system and method based on ecological protection engineering, and relates to the technical field of water conservation evaluation, the system comprises an information acquisition module, an analysis and calculation module, an evaluation module and a database, grid division is performed on a monitoring drainage basin to obtain drainage basin units, and monitoring moments are set; the rainfall, land utilization type, potential evapotranspiration and soil attribute information of each drainage basin unit are collected at each monitoring moment, the monitoring drainage basin is divided into a marked area and each ecological engineering area, the water conservation amount of each drainage basin unit is calculated according to monitored data for the marked area, and the water conservation amount of each ecological engineering protection area is calculated according to the monitored data for each ecological engineering protection area. According to the method, the influence of each ecological protection project on soil is analyzed, the water conservation amount of each drainage basin unit is calculated according to the analysis result, and the change characteristics of the water conservation amount are obtained through Sen + M-K trend analysis, so that the calculation accuracy and effectiveness of the monitoring drainage basin water conservation amount are guaranteed, the calculation cost is reduced, and the ecological protection project can be monitored for a long time.

Sensor device (1) for in-situ soil analysis, comprising: a sensor assembly comprising one or more sensors that are individually or cumulatively configured for the simultaneous in-situ measurement of an absorption spectrum in a spectral range NIR-VIS-UV extending from NIR to UV and of at least one of the following soil properties of a soil to be analyzed (11) and for the provision of corresponding respective measurement data: (a) Impedance spectrum (b) temperature (c) acidic or basic character; wherein the distance defined between any two sensors of the sensor assembly with respect to their respective measuring quantity sensors does not exceed a value of 10 cm, wherein the sensor assembly for in-situ acquisition of an absorption spectrum of the soil to be analyzed (11) includes an absorption spectrometer assembly (5) which has: at least two MEMS absorption spectrometers (26a, 26b) whose spectral coverage differs at least for partial regions of the electromagnetic spectrum, so that cumulatively an absorption spectrum of the soil (11) to be analyzed can be acquired by the entirety of the MEMS absorption spectrometers (26a, 26b), which has components in the NIR, VIS and UV regions, wherein the absorption spectrometer assembly (5) further comprises a movable shutter device (28) configured to temporarily retract an aperture into a spatial region defined between the absorption spectrometers and the measurement surface, wherein a calibration reference (29) for calibrating at least one of the absorption spectrometers is arranged on the side of the aperture facing the absorption spectrometers.

The application relates to the technical field of fertilizer groove backfilling, and particularly discloses a fertilizer groove backfilling construction method based on MICP technology. The fertilizer groove backfilling construction method based on MICP technology comprises the following steps: soil property determination: determining the maximum dry density p dmax of the soil, the optimal water content w, preparing a microbial slurry and a cementing solution, preparing backfill soil by adding the cementing solution into the soil, backfill construction: backfilling the fertilizer groove with the backfill soil by 300-400 mm, then spraying the microbial slurry on the surface of the backfill soil, continuing to backfill the fertilizer groove and spraying the microbial slurry after the microbial slurry penetrates to the bottom of the backfill soil, and repeating the above operation until the fertilizer groove is backfilled completely. The fertilizer groove backfilling construction method based on MICP technology has the advantages of low construction cost, simple construction method and high backfill compactness.

The invention relates to the technical field of soil improvement, in particular to a method for improving the quality and productivity of cultivated land by improving a soil micro food web. According to the method, the influence of soil properties, soil quality, soil micro food webs and corn yield is studied through straw smashing and deep returning to the field and straw particle deep returning to the field, and the result shows that nematode communities are remarkably affected by different straw returning modes, fungus channels are enhanced through straw particle deep returning treatment, and the corn yield is improved. The energy flow between the fungal-feeding nematodes and the omnivorous / predatory nematodes is increased, so that the content of organic carbon and mineral combined organic carbon in soil is remarkably increased, the straw particles influence the soil nematodes by directly adjusting microbial communities, finally, the soil quality and the crop yield are improved, the soil quality is improved by 37.5% through straw particle deep-returning treatment, and the crop yield is increased by 37.5% through straw particle deep-returning treatment. And the crop yield is improved by 11%.

The invention provides a microbial circulating grouting foundation reinforcement system and method based on multi-source information fusion and artificial intelligence feedback. The reinforcement system comprises a sensing module, a decision control module and an execution module. The sensing module collects multi-dimensional physical and chemical field data representing microbial reaction states and soil body properties in real time through a multi-source sensor network, and the decision control module analyzes the data collected by the multi-source sensor network, issues a control instruction, controls working parameters of an electromagnetic valve and a metering pump of the execution module in real time, and achieves control over grouting reinforcement. According to the method, on-demand generation of calcium carbonate precipitates in a three-dimensional space is achieved through real-time sensing and feedback control, the problem of uneven reinforcement is fundamentally solved, and the engineering quality is remarkably improved; through real-time intervention on key indexes such as pH and ion concentration, the biochemical reaction is always maintained in an optimal active window, the inhibition effect of by-products is avoided, and the reaction efficiency and the material utilization rate are improved.

One or more information maps are obtained by an agricultural system. The one or more information maps map one or more characteristic values at different geographic locations in a worksite. An in-situ sensor detects a soil property value as a ground engaging machine operates at the worksite. A predictive map generator generates a predictive map that predicts a predictive soil property value at different geographic locations in the worksite based on a relationship between the values in the one or more information maps and the soil property value detected by the in-situ sensor. The predictive map can be output and used in automated ground engaging machine control.

The invention discloses an enhanced individual prediction soil mapping method and a related device, and relates to the technical field of soil mapping, and the method comprises the steps: employing a random forest model to calculate the importance of each environment variable to a target soil attribute based on an alternative environment variable set of a target region; key environment variables are screened out according to importance, and the weight of each key environment variable is calculated; calculating an environment distance between each soil sampling point and the to-be-predicted point based on the environment variable value and the weight, and determining an environment similarity through an exponential function; standardizing the spatial geographic coordinates of each soil sampling point and the to-be-predicted point; euclidean distances among the standardized coordinates are used as spatial distances, and spatial proximity is determined through an exponential function; determining comprehensive similarity according to the environment similarity and the spatial proximity; and based on the comprehensive similarity, selecting N soil sampling points most similar to the to-be-predicted point, and calculating a soil attribute estimated value of the to-be-predicted point according to the weighted average of the soil attribute measured values of the N soil sampling points.

The present application belongs to the technical field of soil spectrum detection and agricultural informatization, and discloses a multi-modal spectrum soil property estimation method based on task priori gated distillation. Visible-near infrared reflectance spectrum, X-ray fluorescence spectrum and laser-induced breakdown spectrum of the same sample are obtained, and after pretreatment, teacher soft labels and intermediate features are generated by PLS, SF-PLS and GR chemometric teacher models; the student network extracts modal features through three one-dimensional convolution branches, adopts GeM / TopK aggregation, Dirichlet task gating and double expert prediction modules for fusion and regression, and is jointly trained by output distillation, feature distillation, true value regression and gating regularization. In the inference stage, only the student network is deployed for clay, organic matter, cation exchange capacity, pH, base saturation and extractable phosphorus, potassium, calcium and magnesium estimation.

The invention relates to the technical field of landslide simulation, and discloses a landslide digital twinborn framework construction method, which comprises the following steps: carrying out analog simulation on slope instability conditions of different soil properties and different gradients, forming a digital twinborn body construction foundation, constructing a three-dimensional scene substrate, and fusing an instability threshold value and a rainfall field to form a landslide digital twinborn body. And constructing a three-dimensional visual scene of the landslide, and carrying out visual monitoring and early warning on the landslide process. The framework technology constructed by the method supports dynamic updating and response of measured data, and can provide theoretical technical support for accurate prediction and intelligent early warning of the landslide process. The technology has a function of updating physical attributes of the earth surface in real time, can realize visualization of the whole process of the landslide, provides a theoretical basis for landslide prevention and control decision, realizes real-time monitoring of areas where the landslide easily occurs, saves a lot of manpower and material resources compared with traditional monitoring, and has important significance for intelligent monitoring and management of the landslide.

The present application belongs to the technical field of shield tunnel construction, and discloses a shield tunnel deformation overrun correction pile group and a correction method. The correction method comprises the following steps: 1) using a high-pressure jet grouting method to inject grout into the soil layer outside a single pipe segment of the deformation overrun shield tunnel to form a pile column on the outer circumferential surface of the pipe segment. The grouting pressure in the grouting process acts on the pipe segment through the soil layer outside the pipe segment, thereby generating a correction pressure for correcting the deformation of the deformation overrun pipe segment. The correction pressure acting on the pipe segment is adjusted by adjusting the grouting pressure and / or the back pressure. 2) repeating step 1) until the correction of all deformation overrun pipe segments of the shield tunnel is completed. The present application forms a radial pile column outside the tunnel by using a high-pressure jet grouting process, improves the soil properties around the tunnel, and controls the size of the correction force by controlling the back pressure in the jet grouting process, thereby achieving accurate correction of the deformation overrun shield tunnel and effectively ensuring the operation safety of the shield tunnel.

The invention relates to a terrapin for installing a pipe foundation and works by sandwiching soil for final pin placement. The terrapin is a system used to strengthen unconfined soil layers. The terrapin dramatically reduces the potential for project site disruption by creating a sandwich of the soil layers to strengthen the soil properties during pin placement and installing a casing.

This invention relates to the field of tunnel engineering and discloses a method, system, terminal, and storage medium for predicting the deformation of adjacent tunnels. The method includes: acquiring the soil properties and basic model of the tunnel construction site; setting the parameters of the basic model according to the soil properties to obtain an initial prediction model; calibrating the initial prediction model using an optimization algorithm to obtain a standard prediction model; predicting the tunnel deformation using the standard prediction model to obtain a predicted deformation; calculating the support axial force value based on the predicted deformation using the standard prediction model to obtain a target support axial force value; and obtaining construction instructions based on the target support axial force value and applying them to tunnel construction. This invention predicts tunnel deformation using a standard prediction model, calculates the target support axial force value based on the predicted deformation, and applies the target support axial force value to tunnel construction, enabling timely monitoring of whether tunnel deformation exceeds limits and allowing for remedial measures.

The application relates to the technical field of soil detection, in particular to a soil property inversion method and system based on spectral technology, which solves the technical problem of low precision in soil property inversion when soil spectrum data is collected in a fixed time window in the prior art. The method comprises the following steps: acquiring high-spectral remote sensing time series data of a target area; determining a vegetation contribution coefficient of a spectrum signal in a pixel to vegetation change based on the change of the spectrum of each pixel in the high-spectral remote sensing time series data with time; calculating soil spectrum purity on each time window of the time series data according to the vegetation contribution coefficient and the offset change of soil spectrum in the same period between different years; determining the best dynamic time window for soil property inversion according to the time series change of the soil spectrum purity; and performing inversion on soil properties based on the high-spectral remote sensing time series data in the best dynamic time window.

The application discloses a kind of degenerative farmland soil organic matter three-dimensional mapping methods of fusing remote sensing, near-ground sensing and historical data, it is related to digital soil mapping technical field, the method is based on INLA-SPDE three-dimensional model framework, fusing remote sensing, near-ground sensing and historical data realizes high-precision three-dimensional mapping, steps are as follows: collecting soil profile different depth organic matter data and near-sensing visible near-infrared reflectance spectrum data in each sampling point of study area, then screening and organic matter significantly related visible near-infrared reflectance spectrum characteristic band, collect and integrate historical data, and complete standardization processing to remote sensing, near-ground sensing data;Divide modeling set and verification set, determine the triangular grid parameter based on semi-variogram and construct SPDE model;Near-sensing, remote sensing data are used as covariant and are incorporated into INLA-SPDE three-dimensional model, generate soil organic matter three-dimensional spatial distribution map after model fitting and quantify uncertainty.The application overcomes the problem that traditional method cannot accurately simulate the vertical variation of soil properties, realizes the high-precision, high-efficiency three-dimensional mapping of regional scale soil organic matter in horizontal and vertical dimensions.

The application discloses a kind of contour cloud-based earth-rock dam impervious soil evaluation method, to solve the problems of time-consuming and insufficient accuracy in determining useful soil distribution range and soil reserves in the prior art, comprising the following steps: obtaining the geometric characteristics and physical parameters of soil yard;Based on the geometric characteristics, a three-dimensional geological model of the soil yard is constructed;The soil property test sampling point coordinates and physical parameters are imported into the three-dimensional geological model to form a point set;Based on the point set attribute interpolation, the attribute values of all grid cells in the soil layer area are obtained;Based on the attribute values of the grid cells, an attribute contour cloud is generated;Filter the grid cells with attribute values meeting the engineering requirements and establish the corresponding area;Calculate the volume of the soil in the area with attribute values meeting the engineering requirements.The application visualizes the soil properties and distribution through three-dimensional software, facilitating statistical analysis of soil properties, and enables quick and accurate determination of the distribution range and reserves of useful soil in the soil yard.

The invention discloses a material and method for repairing and reinforcing rock-soil ruins by in-situ excitation of indigenous microorganism mineralization, and belongs to the technical field of building material and cultural heritage protection. The method comprises the following steps: detecting and analyzing a soil sample to determine inherent key mineralized microbial flora types and soil properties of the soil sample; a specific activation solution is prepared according to the formula and applied in a grouting, spraying or building and repairing mode according to different diseases, and meanwhile, a suitable environment is built to activate and enrich the indigenous key flora; then, cementing liquid is injected into the soil in a permeating mode, activated flora is induced to be subjected to mineralization reaction to generate calcium carbonate sediment, and reinforcement and remediation are achieved; temperature and humidity maintenance needs to be carried out in the process and later period. The used materials are the activating liquid and the cementing liquid. The ruin local microorganisms are directly activated and utilized, the defect of introduction of exogenous bacteria is avoided, and the method has the advantages of uniform restoration, ecological compatibility, environment friendliness and high applicability and conforms to the minimum intervention principle of cultural relic protection.

Disclosed are method and a numerical three-dimensional dam breach model that calculate the dam break hydrograph for a homogeneous or zoned soil dam along with the visualized three-dimensional dam-breaching process and removed soil graph, wherein the failure mode can be overtopping failure, wind-generated wave overtopping failure, piping failure, or static liquefaction failure; wherein the dam can be breached at one location or multiple locations; and wherein elevations of the dam's crests and bottoms and soil properties at all stations along the dam's centerline are modeled. The topographic information surrounding the dam is pulled out from USGS DEM as a domain of the outer two-dimensional Shallow Water Equations grids that controls the hydraulic boundary conditions. Clear water scouring to different soils with different construction compaction efforts are calculated using corresponding erosion formulae. Force / moment equilibrium of soil blocks is analyzed, and instable soil blocks are removed.