47 results about "Debris flow" patented technology

The invention discloses a plateau mountain road disaster identification method and system based on multi-source remote sensing image restoration and super-resolution reconstruction. The method comprises the following steps: acquiring and preprocessing a multi-source remote sensing image of a plateau mountain region, and extracting landform measurement parameters based on a digital elevation model; a super-resolution reconstruction network fusing deformable convolution and Transform is constructed, and a low-resolution image is reconstructed by using constraint training of a composite loss function containing geomorphic measurement parameters; performing feature extraction and adaptive weighted fusion on the preprocessed image and the reconstructed high-resolution image; based on the fused image, utilizing a multi-task deep learning model to identify landslide, debris flow and roadbed subsidence disasters along the highway; and carrying out morphological optimization and boundary refinement under GIS constraint on an identification result, and outputting a disaster thematic map. According to the invention, the precision and reliability of road disaster identification in a complex terrain environment are effectively improved.

The present application discloses a method for measuring impact force of debris flow and application, and a design method for barrier energy dissipation pile array. The method for measuring vertical impact force of debris flow measures the tangential velocity of debris flow at the impact point to measure the vertical impact force distribution of debris flow on the impact point. Further, the design method for pile array simplifies the free section of energy dissipation pile as a cantilever beam, which generates a bending resistance when impacted by debris flow, and the bending resistance continuously works to dissipate the impact kinetic energy of debris flow. According to the motion characteristics of debris flow, the impact time and distance parameters are further derived to solve the problems of measuring and designing the stability parameters of single energy dissipation pile, the energy dissipation parameters of barrier energy dissipation pile array, and the number parameters of barrier energy dissipation pile array. The present application also provides the application of each measuring and designing method. The present application provides a more scientific and perfect solution for the energy dissipation design of barrier energy dissipation pile array to resist the impact damage of rockfall and debris flow caused by landslide disaster.

The invention discloses a geological disaster real-time monitoring system based on the Internet of Things, and relates to the technical field of geological disaster intelligent early warning. Original data such as earth surface displacement, rainfall and earth sound signals are acquired through a multi-source sensing acquisition module; the edge intelligent processing module extracts disturbance characteristics and calculates disturbance entropy and an energy index; constructing a regional topological graph by using a graph neural network, and predicting a propagation path and a risk probability of an induction factor; fusing meteorological prediction and topographic factors to construct a multi-dimensional mapping model, and identifying a disaster development trend; judging whether a critical state is entered or not based on a causal reasoning map and triggering early warning; the sampling frequency and the communication priority of the sensor are dynamically adjusted in combination with the historical anomaly similarity, and resource optimization configuration is achieved; the system has the advantages of high recognition precision, high response speed, low energy consumption and high deployment adaptability, and is suitable for intelligent monitoring and early warning of geological disasters such as landslide and debris flow.

The invention discloses a method, a system, a storage medium and equipment for determining the occurrence time and frequency of debris flow in an unmanned area based on the size of lichen, and relates to the technical field of geological disaster monitoring and dating, and the method comprises the steps of S1, condition setting, S2, lichen data acquisition, S3, lichen growth rate fitting, and S4, time and frequency determination. The method is characterized in that the exposure time of lichens is calculated according to the average diameter of ground clothes and the actual growth rate of the lichens in combination with the initial diameter of the lichens, the occurrence time of debris flow is determined according to the exposure time of the ground clothes, and the occurrence frequency of the debris flow is obtained according to the occurrence time of the debris flow. The technical problem that the time and frequency of debris flow events in depopulated areas are difficult to determine is effectively solved.

The invention discloses a green recovery ecological restoration method for a mine goaf, and relates to the technical field of ecological restoration. Rock surface treatment is firstly carried out, the exposed rock surface of a mine is cleaned, and broken stones are prevented from falling off during construction; then, regreening planting is carried out, and seedling transplanting is carried out on the reconditioned rock surface; and then vegetation maintenance is carried out, the planted seedlings and the sown grass seeds are maintained, and the vegetation can root and germinate. According to the method, through vegetation reconstruction and ecological restoration, surface coverage is rapidly restored, water and soil loss is reduced, geological disaster risks such as landslide and debris flow are effectively restrained, and the life and property safety of the mining area and surrounding residents is prevented from being threatened; the hyperaccumulator can also be used for purifying soil heavy metal pollution, and is matched with vegetation to adsorb dust and regulate microclimate, so that the regional air quality and ecological environment are remarkably improved; meanwhile, the regreening mining area can be transformed into an ecological park, a carbon sink forest or an agricultural base, and the land value is increased.

The invention discloses a debris flow susceptibility evaluation method considering a whole starting process condition. The debris flow susceptibility evaluation method comprises the following steps: acquiring a remote sensing satellite image of a research area; the excess terrain volume, the InSAR erosion volume and the historical landslide source volume of the area are calculated firstly, and then a comprehensive source supply index is calculated in a fusion mode; calculating a river power index SPI and a daily maximum precipitation amount of the research area, and performing normalization processing on grids of the river power index and the daily maximum precipitation amount by a minimum value and maximum value synthesis method; performing weighted stacking on the two normalized factor layers to obtain a rainfall trigger index; calculating a transportation connectivity index; and carrying out three-dimensional joint probability modeling and susceptibility index calculation. According to the method, objective and accurate evaluation of the debris flow susceptibility is realized through quantitative description of the debris flow forming process and non-parametric probability modeling.

The invention relates to the field of geological disaster recognition, in particular to a road slope landslide debris flow disaster recognition method, device and equipment and a medium. According to the invention, through the high-spatial-resolution optical remote sensing image of the highway slope in the alpine and valley region and DEM data in the same region, deep fusion of spectral features of the optical image and DEM elevation features is realized through the cross-modal cycle fusion module, and texture damage and earth surface deformation information of landslide debris flow can be captured at the same time. Meanwhile, when the optical image is seriously covered by cloud snow, the DEM data branch can be used as an independent data source for identification, and continuity and stability of identification work are guaranteed. According to the method, two kinds of remote sensing data with different modes and information complementation are organically combined, the accuracy of landslide debris flow geological disaster recognition is improved, the requirement for rapid general survey of disaster points along highways and major engineering areas in alpine and valley areas can be met, the manual workload can be reduced, and the working efficiency is improved.

The invention discloses a Reynolds number-based turbulence burst period correction silt entrainment calculation method, system and device and a storage medium, and belongs to the technical field of mountain disasters, and the method comprises the steps: obtaining a Reynolds number linear scaling law of a turbulence period; obtaining a corrected dimensionless sediment flux model; based on the Reynolds number linear scaling law of the turbulence period and the corrected dimensionless sediment flux model, obtaining a new turbulence burst sediment carrying model, and thus obtaining a sediment carrying flux value. By analyzing coupling characteristics of turbulence periods and Reynolds numbers under different flow states, a clear linear mixed scale relation between a dimensionless form and Re is revealed, the physical effect of the outer layer convection scale and the inner layer skin friction can be reflected at the same time, and a new correction method is provided based on the mixed scale relation. And on the basis, a new turbulent flow outbreak sand carrying model suitable for a full flow state is constructed, and continuous transition from sand carrying water flow to debris flow is achieved.

The application provides a bionic root type anchoring-flexible debris flow blocking combined device and method, relates to the technical field of geological disaster prevention engineering, and the combined device comprises a flexible blocking net, a shallow bionic plate root stabilizing layer, a middle bionic main root anchoring layer and a deep bionic rootlet reinforcing layer. The bionic resistance increasing design is formed through the shallow bionic plate root stabilizing layer, the middle bionic main root anchoring layer and the deep bionic rootlet reinforcing layer. When impacted by debris flow, the anchoring force is changed from traditional single-point stress to large-range rock-soil body cooperative stress through the construction of the three-dimensional space anchoring network of the bionic resistance increasing design, the device has outstanding blocking effect and self stability and reliability, has outstanding disaster prevention effect on mountainous soft foundation or loose stratum debris flow even in long-term operation, and solves the technical problem of poor anchoring system reliability in the prior art.

The application provides a method for determining whether a shale reservoir is a deep-water sandy muddy debris flow deposit. The method determines whether the target shale reservoir is a deep-water sandy muddy debris flow deposit by determining whether the target shale reservoir has characteristics 1, 2 and 3; wherein characteristic 1 is that coarse-grained material is suspended in fine-grained material; characteristic 2 is that there are partially long strip-shaped shallow-water interstitial materials arranged in a bedding manner in some areas, and there are partially long strip-shaped shallow-water interstitial materials not arranged in a bedding manner in some areas; wherein the bedding manner refers to an angle of not more than 10° with the stratum; and characteristic 3 is that there are a terrestrial subsystem, a shallow-water subsystem and a deep-water subsystem; wherein if there is coarse-grained terrestrial quartz, the terrestrial subsystem exists; if there is coarse-grained interstitial material, the shallow-water subsystem exists; and if there is muddy biological silica and an organic clay complex with a honeycomb-shaped organic pore, the deep-water subsystem exists.

The utility model discloses a geological disaster landslide gravel blocking device which comprises a slope surface, a pouring surface is fixed at the top end of the slope surface, a fixing structure is fixed inside one side of the pouring surface, the fixing structure comprises reinforcing steel bars, anti-skid lines, a pouring layer, a fixing metal net and a gasket, and a weight box is fixed inside one side of the pouring surface. The holes are formed in the slope surface, the multiple sets of steel bars are installed, the pouring layer is filled between the slope surface and the steel bars for further fixing, the fixing metal net is laid on the outer side of the slope surface, the steel bars are fixed through the gaskets and the fixing nuts, and finally the pouring surfaces are poured to form a whole. The structure of a pouring face can be more stable through the fixed metal net, when landslide and gravel occur, the stability of the pouring face can be guaranteed through the steel bars, the situation that the whole installation position is pulled up due to soil loosening is avoided, and therefore the purpose that the geological disaster landslide gravel arresting device can be prevented from falling off integrally is achieved.

This invention belongs to the field of geological engineering and natural disaster simulation technology, and relates to an experimental device and method for simulating the disaster chain from a high-altitude, long-distance landslide in a cold region to a flood. The device includes a support mechanism, an acceleration mechanism, a loading vehicle, a motion mechanism, a freezing mechanism, a water tank, a water spraying mechanism, and a monitoring mechanism. The freezing and water spraying mechanisms simulate the low temperature and rainfall environment of a cold region; the acceleration mechanism drives the loading vehicle to simulate the initiation of a high-altitude landslide; the landslide mass scrapes and encases moist frozen soil samples in the motion mechanism, evolving into a debris flow under continuous water spraying; the debris flow rushes into the water tank and accumulates to form a simulated landslide dam, simulating the process of blocking a river; subsequently, under the action of upstream water, the dam collapses, triggering a simulated downstream flood. This invention can simulate and monitor the entire disaster chain of a high-altitude, long-distance landslide in a cold region – debris flow – river blockage – flood, providing an effective physical simulation technology for disaster risk assessment and prevention.

The invention provides a debris flow shoveling and scraping device capable of flexibly adjusting angles and path lengths and a monitoring method, and belongs to the technical field of geological disaster monitoring. The device comprises a first sliding groove connected with a material box, a second sliding groove with a shoveling and scraping section with the length flexible and adjustable and a stacking platform, a material in the shoveling and scraping section is a composite material layer, and an optical fiber is arranged on the lower middle portion of the composite material layer and used for monitoring vibration signals. The structure of the rotating shaft of the two sections of sliding grooves is improved, and the combination of the oblique angle frame and the glass extending lap joint is designed, so that the two sections of sliding grooves can independently adjust the angle and do not interfere with each other; a unified trigger signal is sent to a data acquisition instrument and a high-speed camera while a valve is controlled to be opened, a flow depth peak value observed by the high-speed camera is aligned with a first peak value of ultrasonic flow depth, and a unified time axis is obtained; and the synchronism of the motion shooting time of the debris flow, the base stress monitoring time and the vibration signal monitoring time is realized.

The invention relates to the technical field of water conservancy projects, particularly provides a calculation method, medium and system for the debris flow reduction rate of a wedge-shaped beam type grating dam, and aims to solve the technical problem that a traditional model for predicting the debris flow peak flow reduction rate is not suitable for a novel optimization structure. A wedge-shaped beam type grating dam structure is provided, five key control factors including the volume weight, the scale, the channel gradient, the relative opening width and the wedge-shaped structure angle of debris flow are systematically considered through a water tank test, and an experience and theory dual-calculation model is constructed. According to the method, nondimensionalization processing is carried out on control factors, an accurate peak flow reduction rate prediction model is established, and the problem that parameter consideration of a traditional method is insufficient is solved. Test data verification shows that the model prediction result is reliable, the accuracy of debris flow peak flow regulation and control effect evaluation is remarkably improved, and a scientific basis and a practical tool are provided for disaster risk prevention and control and prevention and control engineering design of major projects in mountainous areas.

The present application relates to the technical field of hydraulic engineering, and specifically provides a wedge-shaped beam type grid dam debris flow flow reduction rate calculation method, medium and system, aiming to solve the technical problem that the traditional model for predicting the peak flow reduction rate of debris flow is not suitable for new optimized structures. A wedge-shaped beam type grid dam structure is proposed, and through a flume test, five key control factors, including debris flow bulk density, scale, channel slope, relative opening width and wedge structure angle, are systematically considered to build an empirical and theoretical double calculation model. This method establishes a precise peak flow reduction rate prediction model by dimensionless processing of the control factors, solving the problem of insufficient parameter consideration in traditional methods. Test data verification shows that the model prediction results are reliable, significantly improving the accuracy of the evaluation of the peak flow regulation effect of debris flow, and providing a scientific basis and practical tool for disaster risk prevention and control and prevention engineering design of major projects in mountainous areas.

The application provides a kind of glacier mud-rock flow dynamic risk early warning method and system based on seismic signal, belongs to natural disaster warning technical field, first constructs the response chain of seismic signal glacier, obtains the information such as the propagation path of seismic signal, the response order of each circle of glacier and the response characteristic transmission relationship, then analyzes the risk evolution node in response chain information, accurately determines the key nodes such as response trigger, energy accumulation and diffusion start, forms the glacier mud-rock flow risk evolution node set, then links the glacier mud-rock flow risk evolution node set with the topographic features of glacier area, generates the dynamic risk evolution path that can reflect the dynamic development process of glacier mud-rock flow, generates the dynamic risk warning content containing detailed warning information based on this dynamic risk evolution path, finally reversely associates the on-site response data to the response chain construction process, realizes the optimization update of the response chain information of seismic signal glacier, effectively improves the early warning ability to glacier mud-rock flow disaster.

The invention provides a river blockage prediction method and device and a storage medium, and the method comprises the steps: obtaining debris flow data, river data and moraine object data related to a target river, thereby determining a target volume factor, a dynamic coupling factor, an included angle cooperation factor, a moraine object impact factor and a shear strength factor, and inputting the factors into a pre-trained, verified and screened river blocking prediction model, and outputting a target predicted river blocking result. According to the method, the key influence dimensions of river plugging can be comprehensively covered, the model is constructed based on sample data and is verified and optimized, the scientificity and accuracy of prediction are improved, and reliable support can be provided for geological disaster risk zoning and early warning.

The invention provides a drainage structure design method for a debris side slope and a drainage structure, and relates to the technical field of geological disaster prevention and control, the method comprises the following steps: investigating a target side slope, and obtaining and determining gradient information of the target side slope, form information of side slope furrowing, and grain composition information and mechanical property information of slope debris; based on the gradient information, the form information, the grain composition information and the mechanical property information, calling a ladder pool structure design model pre-constructed through a debris flow interception test, and determining design parameters of a ladder pool; checking the stability of the ladder pool structure under the action of the high-sand-content runoff according to the design parameters and the root reinforcement parameters of the preselected slope protection plants; when the checking calculation result meets a preset safety threshold value, the design parameters are used for implementing drainage structure engineering of the target slope. By means of the technical scheme, the sustainability, the long-term effect and the ecological friendliness of debris slope treatment engineering can be enhanced.

The invention provides a terrain deflection collision type landslide debris flow motion evaluation method and system, and relates to the technical field of geological disaster dynamics modeling. The method comprises the steps of obtaining to-be-evaluated area DEM data and landslide DEM data, and performing data preprocessing on the landslide DEM data according to the to-be-evaluated area DEM data to obtain slip mass DEM processing data; according to the DEM data of the to-be-evaluated area and the DEM processing data of the sliding body, carrying out acceleration stress analysis processing on the sliding body to obtain acceleration data of the sliding body; establishing a terrain deflection collision model by adopting the acceleration data of the sliding body, and updating the movement of the sliding body by utilizing the terrain deflection collision model under the conditions of momentum conservation and mass conservation to obtain movement evaluation data of the sliding body; and taking the motion evaluation data of the sliding bodies corresponding to all the sliding bodies as a terrain deflection collision type landslide debris flow motion evaluation result. On the basis, the prediction precision of the landslide debris flow motion behavior is remarkably improved.

This invention provides a synergistic method for soil-rock and ecological disaster mitigation and flow control resilience in debris flows, comprising the following steps: Step 1: Conducting on-site surveys and parameter collection in the watershed to obtain the topographic features, sediment source distribution, and hydrological information of the debris flow watershed; Step 2: Designing the geometric dimensions of the main structure based on particle size distribution and topographic features; Step 3: Designing the main structure for graded flow mitigation and drainage; Step 4: Identifying the ecological species in the watershed and surrounding environment, and conducting ecological design in conjunction with the main structure configuration; Step 5: Conducting flume physical model tests to calculate the energy dissipation rate and flow control capacity of the main structure configuration method and technology for debris flow disaster mitigation and flow control; Step 6: Based on the test results, constructing a three-dimensional fish-scale flume model, and conducting numerical simulations on debris flow scenarios of different scales, particle sizes, and rainfall conditions to correct and optimize the soil-rock and ecological synergistic configuration mode. This application proposes a synergistic method for rock-soil-ecological disaster mitigation and flow control resilience for debris flows in watersheds. This method can disperse the mainstream impact energy of debris flows to form local backflow, thereby controlling the flow direction of debris flows to avoid buildings and people. It organically combines graded flow mitigation and drainage of rock and soil structures with ecological materials and vegetation measures, thereby improving the adaptive recovery capacity of the resilience control system and the ecological diversity of the watershed, and realizing the sustainable and comprehensive management of debris flows.

The present application relates to the field of geological disaster identification, and particularly relates to a highway slope landslide debris flow disaster identification method, device, equipment and medium. The present application realizes deep fusion of spectral features of optical images and DEM elevation features through a cross-modal cycle fusion module by using high spatial resolution optical remote sensing images of high mountain and canyon area highway slope and DEM data of the same area, and can simultaneously capture texture damage and surface deformation information of landslide debris flow. Meanwhile, when the optical image is seriously covered by cloud and snow, the DEM data branch can be used as an independent data source for identification, ensuring the continuity and stability of the identification work. The present application organically combines two different modal and information complementary remote sensing data, improves the accuracy of landslide debris flow geological disaster identification, can meet the demand of rapid survey of disaster points along the highway in the high mountain and canyon area and major engineering area, can reduce the human workload, and improve the work efficiency.

The invention relates to the technical field of real-time monitoring, in particular to a bridge debris flow impact force real-time monitoring system which comprises a waveform screening module, an impact recognition module, an impact offset module, a fatigue evolution module and an instability early warning module. According to the method, the time interval and the amplitude rise ratio of the adjacent peak values in the stress response sequence are subjected to double-ratio judgment, so that interference of background disturbance on impact signal calibration is avoided, and the accuracy of identifying the number of chipping impact can be improved by means of cross confirmation of the impact distribution density and the vibration data; time correlation analysis is carried out in combination with a strain release curve slope change point, real-time quantitative analysis of a structure bearing capacity loss trend is realized, and spatial hot area early warning marking can be carried out on a pier area before the structure yields by tracking a loss rate slope change trend and identifying a critical growth interval; and the response processing precision before disaster caused by sudden debris impact is improved.

The application provides an ice-rock avalanche debris flow silo effect physical model test device and method based on a cirque terrain, and belongs to the field of debris flow disaster simulation. The device comprises a chute with a predetermined inclination angle with the ground; the upper flow passage of the chute is provided with solid side walls on both sides, and the lower part is provided with suspended side rods on both sides, forming a rectangular hollow; a rectangular steel frame is symmetrically embedded in the rectangular hollow on both sides; the height of the rectangular steel frame is lower than the height of the rectangular hollow, and a plurality of horizontal guide rail walls perpendicular to the side rods and parallel to the short sides are arranged in the rectangular steel frame; a spacer with the same height as the gap is arranged at the intersection of the horizontal guide rail wall and the side rod, and a guide rail roller is arranged on the lower side of the spacer, so that the horizontal guide rail wall can move horizontally perpendicular to the side rod along the guide rail roller; side erosion samples are symmetrically arranged on the upper part of the chute and the top of the rectangular steel frame, forming a variable-angle funnel-shaped side erosion channel. The application effectively improves the simulation authenticity and accuracy of the ice-rock avalanche debris flow under the cirque terrain.

The invention belongs to the technical field of geological engineering and natural disaster simulation tests, and relates to a test device and method for simulating a high-position remote landslide to flood disaster chain in a cold region. The device comprises a supporting mechanism, an accelerating mechanism, a charging vehicle, a moving mechanism, a freezing mechanism, a water tank, a water spraying mechanism and a monitoring mechanism. The freezing mechanism and the watering mechanism are used for simulating a low-temperature and rainfall environment of a cold region; the acceleration mechanism drives the charging car to simulate starting of a high-position landslide; the sliding body shovels, scrapes and wraps a wet frozen soil sample in the movement mechanism, and evolves into a debris flow under continuous water spraying; the debris flow rushes into the water tank and then is stacked to form a simulated barrier dam, and the river blocking process is simulated; then, the dam body breaks under the action of upstream incoming water, and simulated downstream flood is triggered. The device can simulate and monitor the whole process of the high-level remote landslide-debris flow-river blocking-flood disaster chain in the cold region, and provides an effective physical simulation technical means for disaster risk evaluation and prevention and control.

The invention relates to the technical field of geological disaster monitoring and early warning, and discloses a debris flow geological disaster early warning and monitoring system, which comprises a data preprocessing module for collecting and preprocessing original monitoring data; extracting space information of the monitoring points, and calculating a space distance between the monitoring points; the weight distribution module is used for carrying out feature learning and weight distribution of multi-modal features; the feature fusion module is used for extracting statistical features and time sequence features and carrying out feature fusion; the risk assessment module performs disaster situation intelligent perception and risk quantitative assessment; the propagation analysis module is used for analyzing a space cooperation relationship between the monitoring points and a disaster propagation rule; the early warning processing module generates an early warning decision and processes the early warning decision in real time; the feedback optimization module is used for performing verification feedback, identifying problem monitoring points and performing optimization; according to the invention, intelligent fusion and adaptive weight distribution of multi-source heterogeneous data are realized by fusing a multi-modal deep learning network architecture of a debris flow physical evolution mechanism.

The application discloses a multi-source geological disaster risk evaluation method, and relates to the technical field of geological disaster risk evaluation. The method first acquires initial geological disaster risk data, geological disaster cleaning data, geological disaster compression data and geological disaster risk key data; then extracts first to fourth geological disaster hidden danger weight features corresponding to the four types of data, determines hidden danger weight values through comparison results of the first feature and the second feature and the fourth feature and the third feature, so as to quantify the loss degree of the risk features in the data compression process; and finally splices and fuses the geological disaster compression data and the geological disaster risk key data according to the hidden danger weight values, to generate a geological disaster risk evaluation result. The application can effectively supplement the lost risk features of the compressed data, improve the multi-source geological disaster data fusion precision and the evaluation result accuracy, and is suitable for fine risk evaluation of geological disasters such as debris flow.

This invention provides a comprehensive water conservancy method for flood control, drought relief, and flood storage by constructing dams at the source of mountain gullies throughout a complete water system. The method includes the following steps: S1. Within a complete water system, small intercepting dams are constructed throughout all mountain gullies, valleys, streams, and capillary runoff channels in the upstream mountains to intercept, retain, and regulate mountain torrents and rainwater at the source, dispersing flood peaks and slowing confluence. S2. For situations where the intercepted water volume in smaller tributaries is less than 100,000 cubic meters, multiple simple intercepting dams are constructed in the main gully. The density of these dams is one per kilometer. These simple dams provide multi-stage interception and water storage of the main gully flow, compensating for the insufficient water storage capacity of the smaller tributaries. This invention constructs a source flood storage structure by coordinating dam construction in all mountain gullies and the main gully. While achieving flood control and drought relief, it also provides ecological protection functions such as intercepting sediment, reducing soil erosion, stabilizing mountains, and preventing landslides and debris flows.

The invention provides a mechanism deep learning dual-drive flow-slip disaster numerical simulation system, and relates to the technical field of geological disaster numerical simulation. The system integrates a physical mechanism model and a deep learning method. Based on a high-resolution DEM (Digital Elevation Model), by introducing a rock-soil type self-adaptive substrate entrainment mechanism, utilizing a shallow water wave equation to accurately calculate the terrain elevation, the flow direction, the flow velocity and the accumulation thickness of the first two time steps; and then taking the obtained multivariable field as four-channel input, and driving a CNN-GRU coupling network to perform rolling prediction. According to the method, the final accumulation form, the influence range and the dynamic evolution process can be quickly obtained only through a small amount of initial mechanism calculation, the simulation efficiency is remarkably improved on the premise of ensuring physical rationality, and the defects that a traditional pure mechanism model is long in calculation time consumption and a pure data driving model is physically distorted are overcome; the method is suitable for rapid risk assessment and emergency decision support of flow slip disasters such as landslide and debris flow.

The invention belongs to the technical field of information, and particularly discloses a debris flow source multi-scale quantitative identification method, which comprises the following steps: grouping regional spatial feature parameters to obtain a scale division threshold set; carrying out macroscopic grid division and determining a total resource amount estimation value in each unit; for the over-threshold unit, analyzing a channel and slope intersection in combination with a terrain model so as to locate potential key resource coordinates; scanning the slope accumulation bodies by using an image recognition algorithm, recognizing monomers meeting starting conditions, judging that the volume and the position of each accumulation body meet the starting conditions, and obtaining a microscopic resource detail data set; and finally, multi-level data are fused, and a consistency resource total amount evaluation result is obtained through interpolation and cyclic verification. And mapping information at macroscopic, mesoscopic and microscopic levels by using the conversion matrix, and judging that the mapped data meets the supply relationship requirement to obtain a multi-scale resource identification model. The method can effectively improve the precision and integrity of mineral resource identification in complex mountainous areas.

The invention discloses a debris flow forecasting method, system and device driven by multi-source observation data and a storage medium, and belongs to the technical field of mountain disaster monitoring and early warning and numerical simulation, and the method comprises the steps: obtaining multi-source observation data with a unified spatial resolution; obtaining a lattice rainfall field; obtaining a snow melting flux field; obtaining vegetation canopy interception and effective rainfall; obtaining an infiltration rate; and based on the effective rainfall, the snow melting flux field and the infiltration rate, and in combination with a depth average solid-liquid two-phase model, obtaining a debris flow whole process evolution result. According to the invention, a local heavy rainfall extreme value can be effectively captured, and misjudgment of a trigger area caused by'uniform rainfall hypothesis' is reduced; the'interception-infiltration 'hydrological process and the'depth average solid-liquid two-phase model' debris flow dynamic process are subjected to cascade coupling, the whole process calculation from meteorological forcing to erosion and deposition / accumulation influence is realized, and emergency decision making is facilitated; the method is suitable for mountainous areas with inconvenient traffic, sparse population and high risk.