55 results about "Dam break" patented technology

The invention discloses a water conservancy facility full-period informatization management method and system based on digital twinning, and relates to the technical field of water conservancy informatization management, and the method comprises the steps: collecting water conservancy facility data, constructing a water conservancy facility digital twinning model, constructing an interactive structure body through employing three-dimensional geometric modeling, topological coding, material attribute and operation state fields, and constructing a water conservancy facility digital twinning model. Node mapping, attribute inheritance and time evolution rules are established; on-site progress, quality and deviation data are collected through a construction period sensing device, a state-driven mapping mechanism is designed, various data are dynamically mapped to a digital twin model of the water conservancy facility, and a structure-environment collaborative sensing mechanism is constructed in an operation stage; based on the digital twinborn model data of the water conservancy facility, a risk identification model is established, and the dam break risk, gate clamping stagnation, pump station failure and channel clogging are predicted. According to the method, linkage of water conservancy facility multi-source sensing, digital twin mapping and risk identification is realized, and the operation safety monitoring precision and the regulation and control efficiency are improved.

The invention discloses a dynamic topology mapping and GPU heterogeneous flood coupling model real-time early warning method, and solves the problems of inflexible coupling of a one-dimensional model and a two-dimensional model, low calculation efficiency, poor dynamic response capability and the like in traditional flood simulation. A dynamic topology mapping mechanism is introduced to respond to emergencies such as dike burst and overflow in real time, the calculation efficiency is remarkably improved by utilizing a GPU heterogeneous parallel architecture, rapid and accurate simulation of the whole process of flood formation, evolution and submerging is achieved, reliable technical support is provided for flood control dispatching and emergency decision making, and the method is suitable for large-scale popularization and application. The method comprises the following steps: constructing a two-dimensional hydrodynamic model based on an unstructured grid, establishing a dynamic topology mapping mechanism and realizing GPU parallel numerical calculation; a two-dimensional model lateral connection coupling mechanism is constructed, dam overtopping flow is calculated in real time, and breach flow dynamic calculation of an improved DAMBRK method is carried out; multi-target parameter calibration, multi-dimensional model verification and one-two-dimensional model GPU collaborative parallel computing are realized.

The invention provides a tailing pond dam break whole process simulation method and system, and the method comprises the steps: building a three-dimensional geological grid model according to the earth surface point cloud data of a target region in cooperation with drilling data, and solving an initial ground stress field through a virtual mass method and setting a stress unbalance rate condition; in the landslide simulation stage, mountain fracture process simulation is carried out based on an initial ground stress field and landslide impact force, and a fracture area boundary and pore water pressure distribution are obtained; when the displacement of the dam body in the disaster response suddenly changes or the stress exceeds a threshold value, a dam break simulation stage of the deformation failure area is started; in a dam break simulation stage, simulating a sand flow movement path based on the boundary of the destroyed area and topographic data; and finally, generating a disaster-forming path map, a stacking thickness cloud map and an influence range thermodynamic cloud map based on the mud and sand flow movement path. Limitations of a traditional method are broken through, full-process high-precision efficient simulation of deformation, damage, burst and disaster formation of tailing pond dam break is achieved for the first time, and quantitative prevention and control bases are provided for high-risk scenes.

The invention provides a quantitative risk assessment method and system for an ice rock collapse-river blockage-dam break flood disaster chain. The method comprises the following steps: acquiring an ice rock collapse risk grade index by adopting a BP neural network improved by an Adam optimizer; if the ice rock collapse occurs, correcting and calculating an ice rock collapse movement path based on a D8 algorithm in combination with a rock-soil friction coefficient, correcting the volume in real time through an erosion-accumulation dynamic balance model, and constructing a river blocking risk grade index in combination with the river entering volume and speed; the stability of the dam body is evaluated through a dynamic catchment area model and a Sigmoid function, and the dam break risk is calculated in combination with the ratio of the volume to the area; and if the dam break disaster does not occur in the barrier dam, integrating the ice rock collapse risk grade, the river blocking risk grade and the dam break risk grade index, and evaluating the comprehensive risk of the disaster chain. According to the method, disaster prediction of each stage is realized through neural network improvement, path optimization analysis and variance tracking change, and comprehensive risks are evaluated through multi-element coupling.

The invention discloses a tailing pond multi-dimensional data fusion-based disaster hidden danger identification and early warning method, and relates to the related field of disaster hidden danger identification and early warning, and the method comprises the steps: carrying out the data fusion of a multi-dimensional data set, generating a multi-dimensional data fusion result, carrying out the quick deduction of a plurality of environment parameters and the multi-dimensional data fusion result, and carrying out the early warning of the disaster hidden danger. Constructing a tailings pond catastrophe influence assessment mathematical model to perform risk assessment on the tailings pond, generating a plurality of risk levels, analyzing tailings pond dam break trigger criteria, generating a plurality of trigger indexes of the tailings pond to perform sensitivity analysis, determining a disaster trigger sensitivity coefficient and the plurality of risk levels to perform disaster hidden danger identification, and determining the disaster trigger sensitivity coefficient. And generating a disaster early warning signal and combining with the multi-dimensional data set to carry out disaster warning, and formulating emergency response measures to carry out emergency response on the disaster hidden danger of the tailings pond. The technical problems of real-time analysis and comprehensive evaluation of tailings pond data are solved, and the technical effects of improving the recognition accuracy of hidden danger and effectively performing early warning response are achieved.

The invention provides a geological disaster identification method based on seismic wave dynamics and kinematics characteristics, the geological disaster is mountain torrent or debris flow, and the method comprises the following steps: collecting seismic signals in a geological disaster potential risk area; the seismic signals are preprocessed; extracting early warning parameters from the pre-processed seismic signal, wherein the early warning parameters comprise a long and short time window energy ratio, a time-frequency spectrum parameter, a power spectrum density and a seismic signal duration; establishing an earthquake prediction model of the single-measuring-point geological disaster according to the extracted early warning parameters; fusing the earthquake prediction models of the geological disasters at multiple measuring points, and judging whether the earthquake signals are earthquake signals triggered by the geological disasters or not; and when it is judged that the seismic signal is triggered by the geological disaster flow, real-time early warning information issuing is carried out on the downstream risk area. The method can be applied to monitoring and early warning of geological disasters caused by artificial or natural activities such as mountain torrents, dam break, landslides, collapse and the like, and has wide engineering technology application and scientific research prospects.

The invention provides a three-dimensional lithium battery mine visualization system based on digital twinning, and the system comprises a physical sensing layer which is disposed at a lithium battery mine site, and comprises a plurality of sensor networks used for collecting geologic bodies, production equipment, environment parameters, personnel positions, and vehicle states; and the data interaction layer comprises a data integration platform and an edge computing node, and is used for carrying out cleaning, fusion, protocol conversion and edge side preliminary analysis on the multi-source heterogeneous data uploaded by the physical sensing layer, and uploading the multi-source heterogeneous data to a cloud. By integrating the slope monitoring sensor and the professional analysis model, real-time evaluation and advanced early warning of the slope stability and the tailing pond safety are achieved, major accidents such as collapse and dam break are effectively prevented, meanwhile, the harmful element diffusion model is utilized, and the safety of the tailing pond is improved. Migration paths of fluoride dust, radioactive substances and potential leakage pollutants in the atmosphere and the water system are dynamically simulated, accurate decision support is provided for environmental risk emergency response, and the influence on surrounding ecology is reduced to the maximum extent.

The application discloses a soil-rock dam reinforcing and enhancing structure for preventing over-standard overflow dam break and a construction method thereof. The structure comprises a soil-rock dam filling body, a vertical anti-seepage core wall arranged in the soil-rock dam filling body, and a composite high-strength fiber three-dimensional membrane arranged on the surface of the dam slope after regulation. The membrane body is unfolded along the slope surface and is reinforced by a pressing plate type fixing anchor bolt and a fiber membrane three-dimensional rivet. The row-to-row spacing of the fixing anchor bolt is 20-50 cm, so that the composite membrane is tightly attached to the dam body. The rigid structure and the flexible protection material are organically combined, the dam body's erosion resistance and durability are significantly improved while the flood discharge capacity is ensured, the construction method is simple, the cost is low, and the method is suitable for flood control reinforcement and safe operation of various soil-rock dams.

The invention discloses a dam break possibility prediction method. A target dam and an associated water area are divided into a plurality of evaluation areas based on a first preset rule; collecting earth surface displacement data and foundation permeability data for the dam part of each evaluation area, and synchronously collecting historical hydrological data and real-time hydrological data for the water area part of each evaluation area; fusing the earth surface displacement data and the foundation permeability data as physical elements of the assessment areas, fusing the historical hydrological data and the real-time hydrological data as hydrological elements of the assessment areas, performing multi-source coupling calculation on the physical elements and the hydrological elements, and outputting dynamic risk factors corresponding to the assessment areas; determining a globally unified target risk threshold value based on the structure limit parameters and the dam break case statistical characteristics; and searching the shortest risk conduction path meeting the critical slope constraint through a graph theory algorithm. According to the method, the risk conduction intensity of the adjacent areas is quantified by establishing the chain topology network, and the most easily-burst path is identified by combining the critical slope constraint.

The invention relates to the field of mine geologic modeling, in particular to a dynamic geologic modeling method and system based on self-adaptive updating of multi-source heterogeneous data. The method comprises the steps that a tailings pond state feature data set is acquired, and a time-space lag prediction model is constructed through a machine learning method according to the tailings pond state feature data set; a tailing pond operation plan information set is obtained, and based on the tailing pond operation plan information set and the current ore pulp liquid level state, a time-space lag prediction model is utilized to predict a pore water pressure change information set in the tailing dam in the future period; and dynamically evaluating the stability of the tailing dam according to the pore water pressure change information set, and outputting stability early warning information. In the mine geologic modeling process, timely configuration of emergency resources and accurate control of prevention and control opportunities are achieved, and linkage dam body instability and disastrous dam break accidents are further reduced.

The proposed method and system for dam-break flood emergency evacuation route planning based on an improved NSGA-III integrates dam-break flood simulation, evacuation point and refuge point selection, multi-objective optimization, and heuristic strategies. This method can achieve efficient evacuation route optimization for groups of people with different priorities under extreme dam-break scenarios, thereby improving overall evacuation efficiency and priority. By conducting two-dimensional unsteady flow dam-break simulation in HEC-RAS and combining the scientific selection and prioritization of evacuation points and refuge points using the ArcGIS Pro platform, an evacuation optimization model that adapts to the spatial distribution characteristics of flood risk is constructed.

The application relates to the field of mine geological modeling, in particular to a dynamic geological modeling method and system based on adaptive updating of multi-source heterogeneous data. The method comprises the following steps: acquiring tailing pond state feature data set, constructing a time-space lag prediction model through a machine learning method according to the tailing pond state feature data set; acquiring a tailing pond operation plan information set, predicting a pore water pressure change information set inside a tailing dam in a future period of time by using the time-space lag prediction model based on the tailing pond operation plan information set and a current ore pulp liquid level state; and performing dynamic evaluation of tailing dam stability according to the pore water pressure change information set and outputting stability early warning information. In the mine geological modeling process, timely allocation of emergency resources and accurate grasp of prevention and control time are realized, and chain instability of dam body and disastrous dam break accidents are reduced.

Embodiments of the present application disclose a reservoir over-standard flood inundation risk zoning method, device and equipment, by determining the reservoir siltation influence probability factor and the reservoir dam break influence probability factor under the siltation condition, the reservoir siltation influence probability factor and the reservoir dam break influence probability factor are used to calibrate the reservoir inundation comprehensive risk degree of siltation-dam break double influence probability under the over-standard flood condition, and the K-means clustering algorithm is used to cluster and analyze the reservoir inundation comprehensive risk degree of each grid calculation unit, and finally the flood risk grade is determined. The technical problem of low accuracy of prediction and zoning of flood inundation risk in the prior art for the reservoir area with high sediment concentration and weak dredging capacity is solved, and a scientific basis and certain technical support are provided for reservoir flood inundation risk assessment and disaster prevention and mitigation planning in high sediment concentration basin areas.

The invention discloses a rule and case dual-driven dam overtopping and dam break emergency evacuation decision knowledge recommendation method and system. The method comprises the following steps: constructing a heterogeneous domain knowledge graph including flood prevention regulations, emergency plan rules and historical dam overtopping and dam break disaster cases; acquiring real-time water and rain condition time sequence data and a disaster-affected area risk grid image generated by calculation of a hydrodynamic model, and generating a digital instance of a current disaster scene in combination with static engineering parameters input by a user; inputting the digital instance into a rule reasoning track and a case reasoning track at the same time for reasoning to obtain a double-track reasoning result; performing fusion judgment on double-track reasoning results, and outputting a forced evacuation instruction or generating a suggestion scheme based on a constructed game income matrix; generating a comprehensive decision report containing personnel transfer suggestions, regulation basis and similar case reference based on the result of fusion judgment; according to the invention, the accuracy and effectiveness of case recommendation are improved, and the reliability of the system under extreme disasters is improved.

The invention relates to a river levee dam break flood prediction method and device, and belongs to the technical field of flood prediction, and the method comprises the steps: predicting the future boundary data of a river channel through employing a historical rainfall-river channel boundary fitting algorithm according to the forecast rainfall of a weather bureau, and carrying out the prediction of the river levee dam break flood based on the future boundary data of the river channel and a one-dimensional hydrodynamic coupling mathematical model; predicting a future river section water level and a future river section flow; based on the future river section water level and the future river section flow, determining the water depth and the flow velocity of a coupling interface by combining a discontinuous interface algorithm; the water depth and the flow velocity of the coupling interface are used as boundary conditions to act on the two-dimensional hydrodynamic coupling mathematical model, and a momentum flux correction method is combined to predict the future ground flood level, so that the problems of unbalanced still water and unstable prediction during flood level prediction are solved, and the flood level prediction accuracy is improved.

The invention relates to the technical field of tailing pond infiltration line detection, and particularly discloses a direct-reading visual artificial intelligence detection device for a tailing pond infiltration line, two sides of a top plate are rotatably connected with supporting parts, the side surface of the top plate is fixedly connected with a gradienter, and the bottom of the top plate is fixedly connected with a blocking part. According to the direct-reading visual artificial intelligence detection device for the tailing pond infiltration line, the detection mechanism is arranged, the detection piece is lowered through the infiltration line detection pipe and can buzz after making contact with the water surface, and after receiving an alarm, detection personnel detect the situation through the video detection piece and directly read infiltration line burial depth data according to a scale cable; the accuracy of manual detection data of the tailing dam infiltration line is ensured, accurate comparison and analysis of online monitoring data of the infiltration line are facilitated, effective and accurate operation of an online monitoring device of the infiltration line is ensured, the stability of a dam body is kept, and dam break accidents are completely eradicated.

The invention discloses a cascade dam group risk chain transfer effect diagnosis method, which comprises the following steps: counting distribution characteristics of upstream and downstream dam reservoir water levels and downstream dam material parameter failure risk influence factors, and training a deep neural network of adjacent cascade dam break flood routing; randomly sampling upstream and downstream dam reservoir water levels, calculating a breach flow hydrograph, and solving the highest dam front water level after the downstream dam is influenced by upstream dam break flood; selecting a failure mode according to the dam type characteristics of the downstream dam, constructing a structure limit state function under a fixed value load, and solving the failure risk rate of the downstream dam before and after the influence of the upstream dam break flood; and executing repeated sampling calculation to obtain risk transfer coefficients under a plurality of upstream and downstream reservoir water level combinations, and calculating a mean value to obtain a final risk transfer coefficient. The method breaks through the limitation of the traditional overtopping failure criterion, and has higher universality and higher accuracy.

The application provides a tailing pond seepage sensitivity analysis and dam break early warning method based on fissure characteristics, acquires collection images of a tailing pond dam body based on a computer vision technology, analyzes and processes the collection images, determines joint fissure regions and joint fissure characteristics, realizes accurate acquisition of tailing pond joint fissure characteristics, provides accurate data basis for tailing pond seepage sensitivity, determines the saturation surface distribution and the hydraulic gradient distribution of the tailing pond dam body based on the joint fissure regions and the joint fissure characteristics, performs seepage sensitivity analysis and calculation on the tailing pond dam body, obtains seepage calculation results, performs dam break judgment on each type of result based on standard results, performs early warning and reminding according to the dam break judgment, realizes accurate analysis and early warning of the stability of the tailing pond, and ensures the safety of the tailing pond.

The present invention proposes a multimodal tailings dam break digital twin emergency simulation and decision optimization method. First, a high-precision three-dimensional scenario model is constructed. Based on the finite element model, the high-precision three-dimensional tailings dam model is simulated and calculated to obtain the dam body stress-strain field. Based on ANSYS+reinforcement learning, the dam body stress-strain field and the current environmental status are used to predict the dam break probability distribution map. Based on the dam break probability distribution map and resource distribution data, a rescue scheduling plan is generated. Then, a dynamic virtual simulation scene is built for exercises, and the rescue scheduling plan is verified and optimized based on the exercise record data to obtain the final rescue scheduling plan. The present invention uses the ANSYS+reinforcement learning hybrid engine to enhance the simulation accuracy, realize dam break path prediction, optimal resource scheduling and plan self-optimization closed loop, and solves the problems of traditional technology data fusion distortion, simulation rigidity, decision lag and other problems. It is particularly suitable for variable working conditions such as sudden changes in the tailings dam seepage field and extreme weather.

The invention provides a tailing pond emergency supervision Internet of Things large model system and method. The system comprises an emergency supervision and management platform, and the emergency supervision and management platform is configured to determine a plurality of local strain data of the tailings pond based on optical fiber signals obtained through distributed optical fibers and spatial resolution of the distributed optical fibers; determining the rainfall response amount of the tailing pond based on water level information acquired by a sensor arranged in the tailing pond; based on the multiple local strain data, determining tailing stability data at the current moment and the future moment; determining a target time point and an excretion parameter corresponding to the target time point based on the rainfall response amount and the tailing stability data; and based on the drainage parameters, the multiple drainage wells are controlled to open drainage valves at the target time point for drainage. Through the system, the drainage parameters of the drainage well in the tailing pond can be reasonably determined and controlled, the risks of dam break and landslide of the tailing pond are reduced, and the safety of downstream urban residents is guaranteed.

The invention belongs to the technical field of water conservancy projects, and discloses an earth and rockfill dam protection system and a protection method thereof. The earth and rockfill dam protection system comprises a roof protection structure, a protection structure and an energy dissipation structure, the roof protection structure is arranged at the top of the earth and rockfill dam, and the two ends of the roof protection structure extend by a preset length along the slope surfaces of the two sides in the thickness direction of the earth and rockfill dam. The protection structure is located on the slope surface of the downstream slope, the head end of the protection structure is spliced with the end of the roof protection structure, and the tail end extends to the dam foot of the earth and rockfill dam. The protection structure comprises a supporting layer, a drainage layer and a reinforcing layer which are sequentially stacked. The side, deviating from the drainage layer, of the supporting layer is stacked on the slope face of the downstream slope, the drainage layer is provided with permeation gaps, and the reinforcing layer can reinforce the structural strength of the earth and rockfill dam body. The energy dissipation structure is arranged at the dam foot of the earth and rockfill dam and spliced with the tail end of the protection structure. By arranging the protection system on the earth and rockfill dam, the dam body can be fully reinforced, the seepage line of the dam body is prevented from rising, the anti-scouring stability of the dam body is guaranteed, and the dam body is prevented from collapsing and breaking.

The utility model belongs to the technical field of flood control dam frameworks, and particularly relates to a framework structure for reinforcing a flood control dam, which comprises the flood control dam, a hard foundation and a plurality of slope beams, the slope beams are arranged on one side of an upstream face of the flood control dam, and two ends of each slope beam are respectively fixed on the top of an upper ground pile and the top of a lower ground pile. The bottom ends of the upper ground piles and the bottom ends of the lower ground piles penetrate through the flood control dam and extend into the hard foundation, the lower ground piles are located below the upper ground piles, one set of stainless steel cable inhaul cables are arranged between every two adjacent slope beams, and the two ends of one set of stainless steel cable inhaul cables are connected with the two slope beams through inhaul cable fixing buckles correspondingly. The steel pipe clamping sleeve is fixed to one set of stainless steel cable inhaul cables and used for laying a plurality of steel pipes, the steel pipe clamping sleeve is of a preset framework structure and serves as a support of flood control equipment, the situation that a flood control dam is further eroded by local dangerous cases such as leakage and piping can be prevented, water pressure of the dam is dispersed through the ground piles, and the situation that the dangerous cases expand and consequently the dam breaks is avoided; and further flood prevention and emergency rescue measures can be conveniently implemented.

The invention discloses a technical method for quickly evaluating the dam break submerging risk of a silt dam, which comprises the following steps of: extracting a dam control drainage basin area, a dam crest elevation and a current water level-reservoir capacity curve of the silt dam according to a current topographic map, and determining the position of a downstream residential area of the silt dam; determining the amount of water contained in the reservoir area during dam break of the silt dam, the corresponding frequency of dam break of the silt dam and the water depth in front of the dam before dam break; according to the dam front water depth before dam break, the maximum flow at the dam site during dam break is calculated; calculating the maximum flow of the residential area; calculating the submerging water level h1 of the residential area; calculating the submerging water depth of the residential area according to the submerging water level of the residential area; and calculating the submerging risk degree of the downstream residential area caused by dam break. According to the method, the judgment efficiency of the outburst risk of the silt dam under the extreme rainfall condition is improved, the required data is simple, the calculation method is simple and convenient, and the method is suitable for risk assessment of engineering facilities such as silt dams which are large in quantity and lack of engineering data.

The invention discloses a method for quantitatively evaluating the risk of overtopping and dam break of a tailing pond induced by rainstorm. Comprising the steps of intelligent data acquisition; constructing a dam break probability model; constructing a dam break loss evaluation model; constructing a dam break vulnerability evaluation model; and constructing an intelligent dam break risk assessment model. Starting from the unique perspective of spatial variability of the tailing material, the spatial variation characteristic of the tailing material is accurately described by applying a random field theory. On the basis, a machine learning algorithm is fused, and efficient calculation of the slope failure probability is achieved; loss possibly caused by dam break is accurately evaluated by constructing a tailing pond dam break model; and an intelligent risk assessment result is provided by combining the failure probability of dam break, the actual loss and the vulnerability of the tailings pond. According to the method, the dam break risk assessment efficiency of the tailings pond is improved, the comprehensiveness of assessment is realized, and a more advanced and perfect assessment means is provided for related fields.

The application discloses a green dam dismantling device and method, which comprises a pipeline, a hole sealing component, a pressurizing component and a power supply component. The pipeline comprises a pipe body, a conveying pipe, a wire and a filling material. The wire is provided with an electrode at the tail end. A hole is drilled on the dam body, and the pipeline is installed in the hole. The pressurizing component is connected with the hole through the conveying pipe, and fluid is injected into the hole through the conveying pipe, so that the dam body is cracked by the pressure of the fluid. The power supply component is connected with the electrode through the wire, and the power supply component supplies power to the electrode. The fluid flows into the cracks of the dam body, and the electrification of the fluid can accelerate the corrosion of the dam body, so that the dam body loses the cementation performance and the integrity of the dam body is damaged. The green dam dismantling device has the advantages of small dismantling risk, no need of dense hole distribution, no noise and dust pollution, and safety and high efficiency.

The embodiment of the invention discloses a reservoir over-standard flood inundation risk zoning method, device and equipment, and the method comprises the steps: determining a reservoir siltation influence probability factor and a reservoir dam break influence probability factor under a siltation condition; and on the basis of the reservoir siltation influence probability factor and the reservoir dam break influence probability factor, calibrating a reservoir inundation comprehensive risk degree of the siltation-dam break dual influence probability under the condition of the over-standard flood, and performing clustering analysis on the reservoir inundation comprehensive risk degree of each grid calculation unit by using a K-mean clustering algorithm to finally determine a flood risk level. The technical problem that in the prior art, the prediction zoning accuracy of the flood inundation risk of the reservoir area with the high sediment content and the weak desilting capacity is low is solved, and a scientific basis and a certain technical support are provided for reservoir flood inundation risk assessment and disaster prevention and reduction planning in the high sediment content basin area.

The invention discloses an earth and rockfill dam reservoir area landslide surge dam break flood risk calculation method. The method comprises the steps that the conventional overtopping dam break flood peak flow and flood peak duration of an earth and rockfill dam are calculated; collecting landslide mass information of the earth and rockfill dam reservoir area, wherein the landslide mass information comprises but is not limited to landslide mass volume, height and position information; calculating a flood peak flow amplification coefficient, and calculating a flood peak duration amplification coefficient; multiplying the peak flood flow amplification coefficient by the conventional overtopping dam break peak flood flow of the earth and rockfill dam to obtain the dam break peak flood flow of the earth and rockfill dam under the action of the landslide surge; and multiplying the flood peak duration amplification coefficient by the conventional overtopping dam break flood peak duration of the earth and rockfill dam to obtain the dam break flood peak duration of the earth and rockfill dam under the action of the landslide surge. According to the method, a multi-factor associated disaster amplification effect evaluation model is established, a repeated conventional physical model test can be avoided, and disaster prediction requirements of reservoirs of different scales can be met.

The invention provides a landslide surge impact pontoon disaster chain estimation method and system, and relates to the technical field of disaster chain estimation, and the method comprises the steps: carrying out the coordinate pairing of a digital elevation model (DEM) generated by a satellite remote sensing image and aerial survey data with geological drilling monitoring data, and obtaining the three-dimensional terrain information and rock-soil physical property parameters of a research area; multi-level numerical simulation is adopted in the links of surge propagation, flood inundation, structural impact and the like, a whole-process closed-loop monitoring and early warning system of landslide-surge-structural impact-dam fracture-downstream flood is formed, wave propagation is accurately solved by means of a Boussinesq equation, the dam bearing capacity is dynamically matched with outburst simulation, and the early warning accuracy is improved. And the Morison rule impact evaluation is carried out on a target structure such as a pontoon or a wharf, so that the downstream submerging range, the maximum impact force and the structure safety state can be obtained in real time and are intuitively presented in a risk level map layer form.

The invention is suitable for the technical field of tailing dam risk prediction, and particularly relates to a tailing dam stability evaluation and dam break risk prediction method, which comprises the following steps: S1, establishing a tailing dam displacement prediction model, analyzing historical displacement data, constructing a shadow equation and a time response function, generating a vertical settlement displacement prediction sequence, and calculating a vertical settlement displacement prediction model; error checking is carried out; s2, calculating the normalized weight of each influence index, forming an index weight matrix, calculating the grey correlation degree of each factor, obtaining an overall grey effect measurement value in combination with the index weight, and dividing the safety state of the tailing dam; and S3, determining a risk level by integrating the evaluation system and risk early warning and combining the prediction model and a gray effect measurement method. According to the method, the improved Verhulst model is adopted, the shadow equation and the time response function are combined, the parameters are optimized through the least square method, the vertical settlement displacement of the tailing dam can be predicted more accurately, and the displacement prediction precision is improved.

The application provides a kind of method and device suitable for the rapid evaluation of regional silt dam breaching disaster risk, relating to flood disaster warning technical field, comprising: building detection is carried out to digital orthographic image to obtain house outline data, and mapping model of light brightness inversion population is constructed based on night light remote sensing data, combined with house outline data and mapping model, hazard-bearing body data containing house location and population information is generated;Based on digital surface model, the main discharge path is determined, the flood buffer corridor is established along the main discharge path, and the flood influence area is determined based on the elevation difference of each topographic point in the flood buffer corridor relative to the main discharge path;The breaching disaster risk assessment information of the target silt dam is determined.The method and device provided by the application realize the automatic and rapid completion of the breaching risk screening work of a large number of silt dams in the regional scale;Significantly improve the evaluation efficiency and coverage, reduce the evaluation cost.