31 results about "Glacier" patented technology

The invention provides a glacier dynamic early warning method and system, and the method comprises the steps: enabling a core agent to adjust a base sliding coefficient of a target model according to the melt water amount of a target glacier body in a past observation time period through employing the capability of an agent AI for learning a complex mode from data and the preciseness of an ice flow model in dynamics deduction, and achieving the dynamic early warning of the glacier. And the target model carries out deduction prediction based on climate forecast data on the basis of the adjusted base sliding coefficient so as to generate a prediction change result of the target glacier body in a prediction time period, and the accuracy and robustness of the prediction change result are guaranteed by accurately setting the base sliding coefficient under the condition that the two modes are combined. The risk assessment model obtains an instability index of the target glacier body in the prediction time period according to the prediction change result; and the risk assessment model triggers early warning when the instability index exceeds a corresponding dynamic threshold value, so that accurate implementation of early warning is ensured.

This invention relates to the field of glacier monitoring technology, specifically to a mountain glacier displacement monitoring system. The mountain glacier displacement monitoring system includes a drone body, a positioning module, a mounting module, a data control platform, and at least one monitoring probe. The drone body, positioning module, mounting module, and monitoring probe are all electrically connected to the data control platform. The positioning module is connected to the drone body. The mounting module is used for deploying or retrieving the monitoring probe. This mountain glacier displacement monitoring system has strong environmental adaptability and enables probe retrieval, thereby reducing deployment and usage costs and operational risks.

The invention discloses a self-adaptive homogeneous pixel offset tracking glacier time sequence monitoring method and system, and belongs to the technical field of image processing, and the method comprises the steps: obtaining a plurality of groups of dual-time-phase SAR image pairs of a glacier; performing image recognition on the dual-time-phase SAR image pair, and outputting a binary segmentation result of a glacier change boundary; a binary segmentation result is used as mask input of pixel offset tracking, and a self-adaptive homogeneous pixel matching window is constructed by distinguishing a changing area and a non-changing area in a pixel offset tracking window, so that matching windows of master and slave images of a dual-time-phase SAR image pair only contain homogeneous pixels with the same changing characteristics as a central pixel, and the matching windows of the master and slave images of the dual-time-phase SAR image pair only contain homogeneous pixels with the same changing characteristics as the central pixel. Normalization matching is carried out; and when the local SNR of the homogeneous pixel matching window is smaller than a preset signal-to-noise ratio threshold value, performing offset calculation by adaptively adjusting the size of the window in the row and column directions, and outputting LOS-direction and azimuth-direction two-dimensional timing sequence offset results. According to the method, the glacier change detection accuracy and the deformation calculation precision can be comprehensively improved.

This application provides a system, method, equipment, and medium for optimizing glacier protection during highway construction and operation. The assessment and avoidance module acquires geographic environmental data and generates glacier protection zoning, highway alignment schemes, and optimized engineering schemes through glacier change models and spatial analysis algorithms. Pollution control, heat mitigation, and ecological restoration modules generate corresponding prevention, mitigation, and restoration instructions based on the glacier protection zoning or the aforementioned schemes. The monitoring and control module integrates multi-source monitoring data and instruction execution data to generate implementation effectiveness evaluation results and optimization instructions, which are then distributed to the corresponding modules. Each execution module adjusts subsequent instructions according to the optimization instructions to achieve dynamic optimization of glacier protection during highway construction and operation. Using this method, various disturbances to glaciers caused by highway construction and operation can be accurately and efficiently reduced, continuously improving glacier protection effectiveness and providing a reference for ecological protection and sustainable development of major infrastructure construction in glacier areas.

The application relates to the field of tunnel underpass glacier evaluation, a tunnel underpass glacier stability state evaluation system, a monitoring period of a subzone is set, frost heaving pressure analysis is carried out on each monitoring subzone divided by a tunnel structure, key monitoring subzones and non-key monitoring subzones are screened out, the spatial positioning of each key monitoring subzone and non-key monitoring subzone in the tunnel structure is extracted, adjacent non-key monitoring subzones are screened out, the frost heaving pressure interference of the key monitoring subzone on the adjacent non-key monitoring subzone is analyzed, the probability that the adjacent non-key monitoring subzone evolves into a key monitoring subzone is evaluated, and high-probability evolution non-key monitoring subzones are determined. Limited monitoring resources can be concentrated on the high-probability evolution non-key monitoring subzones, blind dispersion and waste of resources in low-risk areas are avoided, early risk warning signals can be sent, relevant personnel are reminded to pay attention to the frost heaving pressure change conditions of the areas, and construction personnel are timely informed to take corresponding measures.

This invention discloses a method for identifying stony glaciers based on machine learning. The method comprises the following steps: S1: Interpreting different geomorphic features on stony glacier optical images to obtain identification results; S2: Enhancing the reliability of different types of stony glaciers using the InSAR method to obtain vector data of residual and complete stony glaciers; S3: Slicing images based on the vector data, masking non-stony glacier areas to obtain images with only stony glacier features, and cleaning noisy data; S4: Importing the InSAR-enhanced dataset into RF, SVM, LR, DT, KNN, and ResNet models for training, obtaining the accuracy of different machine learning models in identifying stony glaciers, and obtaining the optimal machine learning model. The method proposed in this invention overcomes the problems of low efficiency and high subjectivity in existing stony glacier state classification, thus achieving automatic classification of complete and residual states of stony glaciers. Furthermore, this method can compensate for the lack of complete and residual state attributes in many existing stony glacier catalogs.

The invention relates to the technical field of radar detection, in particular to a glacier detection system and method. The system comprises a signal generation module used for alternately repeating complementary code elements with a preset time width to generate a pseudo-random coded signal with a preset code length, and performing square wave modulation on the pseudo-random coded signal according to a carrier square wave period to obtain a radio frequency signal, the preset time width being an integer multiple of the carrier square wave period, and the preset time width being an integer multiple of the carrier square wave period; the preset code length is integer power of two; the signal transmitting module is used for processing the radio frequency signal to obtain a transmitting signal and transmitting the transmitting signal to the glacier; the signal receiving module is used for receiving an echo signal of the glacier to the transmitted signal and carrying out digital signal processing on the echo signal to obtain a digital echo signal; the signal analysis module is used for analyzing the digital echo signal to obtain a glacier structure, and the glacier structure comprises at least one of the glacier thickness, the glacier terrain and the ice layer structure.

1. Name of the product in this design: Shoe Sole (Glacier Lava). 2. Purpose of this design: This design is used to make shoe soles. 3. The key design features of this product are the combination of shape and color. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The design for which protection is sought includes color.

This invention discloses a method for extracting GNSS vertical deformation signals based on multi-source load correction and CME filtering. It constructs a load correction model for common-mode error filtering and applies non-tidal atmospheric, oceanic, and hydrological load effects. Through a five-step collaborative process—constructing a standardized GNSS time-series dataset, performing multi-source load hierarchical correction, optimizing CME filtering, dynamically adapting a noise model, and extracting and estimating vertical velocity—the method quantifies the spatial heterogeneity of GNSS vertical time-series nonlinear signals, background noise, and vertical velocity. By combining the correction derived from GRACE with CME filtering, this invention enables the quantification of the spatial heterogeneity of GNSS vertical time-series nonlinear signals, background noise, and vertical velocity, accurately depicting tectonic signals within complex suture zones of glaciers and plateaus.

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 application belongs to the technical field of regional hydrological numerical simulation, and particularly relates to a runoff simulation method, system and application of a loose coupling hydrological model based on glacier and non-glacier partitioning. The method firstly divides the glacier area and the non-glacier area based on the glacier inventory data and the snow cover product, performs grid processing by using a digital elevation model, then respectively uses a VIC model and a DETIM model to simulate the hydrological process of the non-glacier area and the glacier area, realizes differential modeling, and obtains the total runoff simulation process of the basin by fusing the results. The application solves the problems of poor model expansibility and high reuse difficulty in traditional integrated modeling through a loose coupling framework, improves the simulation accuracy and deployment efficiency, and is suitable for water resource assessment and climate response research in alpine mountainous areas.

The application discloses a time-varying glacier degree-day factor calculation method suitable for plateau areas, and the method comprises the following steps: step 1, multi-source data collection and processing; step 2, key driving factor screening; step 3, dynamic relationship model establishment; and step 4, time-varying glacier degree-day factor calculation. The method couples albedo and solar radiation, establishes the physical connection between the degree-day factor and the net radiation, realizes the dynamic calculation of the glacier degree-day factor, significantly improves the precision of glacier ablation simulation and prediction, effectively solves the applicability problem in the complex underlying surface area, reduces the data acquisition threshold and cost of large-scale application, and provides more accurate data support for water resource management and disaster warning.

The invention discloses an automatic glacier extraction method suitable for a multi-modal remote sensing image. The method comprises the steps of obtaining multi-modal remote sensing image data and performing data processing; calculating normalized index data, and fusing the normalized index data with the multiband data and the DEM data; carrying out labeling, carrying out cutting and data enhancement processing on a fused image and label data of the multi-channel multi-mode remote sensing image data, and carrying out data division; a multi-mode semantic segmentation framework of a four-branch encoder-decoder structure is constructed; and training and verifying the deep semantic segmentation model to obtain an automatic glacier extraction model. According to the embodiment of the invention, a multi-modal feature collaborative expression and hierarchical fusion mechanism is constructed, the complementary advantages of different remote sensing data are brought into full play, meanwhile, information interference among modals is effectively inhibited, the precision, robustness and generalization ability of glacier extraction in the complex cold and cold mountainous area are improved, and high-precision automatic identification and boundary extraction of glacier targets are realized.

The application relates to the technical field of geographic information processing, and discloses a glacier flow line extraction method based on terrain intervention. A digital elevation model and glacier polygon contour data of a target glacier are acquired and subjected to mask processing, a boundary grid node set is screened to determine a potential glacier source point set and a glacier terminal point; contour line distribution and an auxiliary gradient scalar are calculated, a high-value overlapping area is taken to generate a limited terrain intervention mask patch; a basic cost tracking grid is generated based on the shortest distance from a grid point of an elevation grid in the glacier boundary to the glacier boundary and relative elevation; the patch is used to replace a corresponding position of the tracking grid to generate a composite constraint cost grid; the potential glacier source point set is used as a starting point, the glacier terminal point is used as an end point, and an initial flow line network is extracted in the composite constraint cost grid through optimization; after being subjected to smoothing and dimension reduction and redundant branches are removed, glacier flow line data are output. The application can avoid flow line penetration and remove redundant branches, and the extraction precision is improved.

This invention discloses a method for calculating the sub-satellite point based on the SGP4 orbital model, relating to the field of satellite navigation and orbit prediction technology. The polar spherical projector of this invention eliminates longitude jumps in latitude >75°, ensuring continuous trajectory output for scenarios such as polar scientific expeditions and glacier monitoring. By directly mapping three-dimensional radial information to generate latitude, it avoids the iterative convergence problem of the ellipsoidal model, ensuring natural symmetry of the North and South Poles coordinates and continuous longitude domain. Second-order differential compensation of the mean anomaly angle, combined with dynamic correction of the Earth's rotational angular velocity, strictly aligns the UTC timestamp with the orbital position. It suppresses the cumulative error generated by traditional linear interpolation at perigee. It enhances adaptability to complex perturbation environments; atmospheric drag vectorization compensation captures real-time aerodynamic direction through relative velocity cross terms, combined with continuous processing of the density index model, significantly improving the orbital attenuation prediction accuracy of low-Earth orbit satellites during geomagnetic storms.

The application discloses a kind of based on deep learning's ice glacier area ground surface water resource distribution image extraction method, belong to ground surface water resource image extraction field, including steps: obtaining the multispectral remote sensing image and digital elevation model data covering ice glacier area, data pre-processing is carried out;YOLOv12 instance segmentation model including main network, neck network and detection head is built, and improved YOLOv12 segmentation model is constructed;Model training and optimization are carried out;ground surface water resource is segmented and extracted by the segmented model after optimization;after segmentation is completed, finally the distribution map of the optimized multi-class ground surface water resource is generated.The application is based on the improved YOLOv12 network architecture, through the fusion vision, convolution block attention module and space to depth convolution technology, the ground surface water resource in ice glacier area in remote sensing image is comprehensively and automatically extracted, effectively deal with ice and snow high reflection, ice crack, stone ice glacier complex texture and edge fuzzy problem, improve segmentation precision.

This invention provides a remote sensing method for identifying seasonal changes in glaciers, relating to the field of radar remote sensing image processing technology. The method includes: S1: acquiring remote sensing images of glaciers in different seasons within the study area, forming a remote sensing image set; S2: preprocessing the remote sensing image set to obtain a preprocessed remote sensing image set, and then performing data registration on the preprocessed remote sensing image set to obtain a registered remote sensing image set; S3: performing image adjustment, boundary extraction, and seasonal inversion on the registered remote sensing image set to obtain a set of glacier boundary parameters; S4: analyzing the glacier boundary parameter set through STL decomposition to obtain the results of seasonal changes in the glacier. This invention introduces seasonal analysis into glacier analysis, considering the influence of various factors on the data, thus improving the stability of identifying seasonal changes in glaciers.

The application discloses a glacier or ice edge landform remote sensing base map construction method and equipment, and the method comprises the steps of taking an image location map as a basic processing unit, screening remote sensing images according to preset conditions for each location map of a glacier or ice edge landform distribution area, and labeling an interpretability score for each image based on snow cover, cloud cover and cloud shadow cover; determining a main image for each location map according to the interpretability score, if the location map has only one image or the main image has met the direct interpretation requirement, no auxiliary image needs to be specified, otherwise at least one selected auxiliary image is determined; for the area affected by cloud and cloud shadow in the main image, the pixels corresponding to the cloud-free area in the auxiliary image are selected for inlay replacement to generate a cloud-removed main image of the location map; and the cloud-removed main images generated for all the location maps are inlaid and spliced to form an image base map for remote sensing information extraction covering the entire glacier or ice edge landform distribution area.

This invention provides a method and technical framework for inverting bottom water pressure of mountain glaciers based on remote sensing observation, including: Step 1, obtaining preprocessed monthly-scale glacier surface elevation dataset and monthly-scale glacier surface velocity dataset, and bedrock surface elevation of the target mountain glacier for the target time period; Step 2, updating the geometric parameters of the target mountain glacier monthly within the target time period; Step 3, obtaining the mechanical parameters of the target mountain glacier monthly within the target time period based on the IGM model; Step 4, obtaining the bed surface roughness; Step 5, constructing a bottom water pressure calculation formula for the target mountain glacier based on the regularized Coulomb friction law; Step 6, obtaining the bottom water pressure dataset of the target mountain glacier within the target time period; Step 7, obtaining and displaying the spatiotemporal distribution map of bottom water pressure of the target mountain glacier within the target time period. This invention can efficiently, stably, and in a standardized manner invert the bottom water pressure of mountain glaciers.

The invention provides a tunnel blasting flue gas cooling and dust removing device and method using low-temperature glacier melt water, and belongs to the technical field of tunnel engineering environmental protection and glacier area safety. The tunnel blasting flue gas cooling and dust removing device and method utilizing the low-temperature glacier melt water comprises a cooling and dust removing body and further comprises a flue gas collecting assembly, the flue gas collecting assembly comprises a flue gas collecting hood arranged at a tunnel portal and a flue gas inlet pipeline connected with the flue gas collecting hood, and the flue gas collecting assembly is used for collecting high-temperature flue gas generated by tunnel blasting; the melt water pumping assembly comprises a water pump, a melt water pipeline and a filter, one end of the melt water pipeline is connected with a glacier melt water source, and the other end of the melt water pipeline sequentially passes through the water pump and the filter and then is connected into the cooling and dedusting main body. By arranging the flue gas collecting assembly and the melt water extracting assembly, natural low-temperature melt water in the glacier area is directly utilized, additional refrigeration equipment is not needed, the temperature of the treated flue gas is close to the glacier environment temperature, local melting of the glacier caused by high-temperature flue gas is avoided, and the stability of the glacier is protected.

The present application relates to the field of three-dimensional motion vector measurement, and particularly relates to a glacier three-dimensional motion vector measurement method based on low-altitude oblique photography of a UAV. The content includes: collecting multi-angle image data to obtain a multi-temporal original observation set; preprocessing the multi-temporal original observation set to obtain a preprocessed observation set; determining a three-dimensional point set based on the preprocessed observation set; introducing a geometric-reflection coupling consistency matching algorithm based on the preprocessed observation set to register three-dimensional points in the three-dimensional point set and determine matching points in the next phase; and obtaining a glacier three-dimensional motion vector based on the three-dimensional points in the current phase and the matching points in the next phase. The present application solves the problems of unstable cross-temporal three-dimensional corresponding point matching, large matching error, and space reference drift between multi-temporal point clouds in a low-texture and strong-reflection environment of a glacier, which leads to inaccurate calculation of a glacier three-dimensional motion vector.

The invention relates to the technical field of temperature distribution monitoring, and provides a glacier internal temperature distribution monitoring system based on a temperature chain sensor, which comprises a ground penetrating radar, a micro base station, a central processing module and a wireless temperature chain sensing module. And summarizing coordinate temperature chains output by the wireless temperature chain sensing module into glacier three-dimensional temperature point cloud, optimizing the three-dimensional Gaussian radial basis fusion global polynomial interpolation model by using an interpolation parameter genetic algorithm to obtain a target adjustable parameter group, and inputting the target adjustable parameter group into the three-dimensional Gaussian radial basis fusion global polynomial interpolation model to obtain the glacier three-dimensional temperature point cloud. After a target adjustable parameter group is obtained by the three-dimensional Gaussian radial basis fusion global polynomial interpolation model, interpolation is carried out on the glacier three-dimensional temperature point cloud to generate a target glacier three-dimensional temperature model; according to the invention, the grey system theory, the ground penetrating radar feature extraction technology and the distributed sensor technology are combined to realize real-time monitoring of glacier internal temperature distribution.

The present application relates to the technical field of electric digital data processing, and especially relates to a watershed glacier change information reliability evaluation method and system based on big data, which comprises the following steps: obtaining an annotated and sorted target region glacier standard form atlas; performing segmentation on the standard form atlas to obtain a training set, a first test set and a second test set; uploading the training set and the first test set to hierarchical iterative model training to obtain a type 1 evaluation model; uploading the training set and the second test set to hierarchical iterative model training to obtain a type 2 evaluation model; fusing the type 1 evaluation model and the type 2 evaluation model to obtain a reliability evaluation model; and performing reliability evaluation on the watershed glacier change information according to the reliability evaluation model. The present application realizes reliability evaluation on the watershed glacier change information.

This invention provides a method for detecting the reserves of mountain glaciers, relating to the field of glacier reserve detection technology. The method includes: acquiring multi-source remote sensing data of a target glacier region and performing collaborative preprocessing on the multi-source remote sensing data to obtain glacier boundary information and ice surface velocity field; based on a glacier dynamics physical model, fusing the glacier boundary information and ice surface velocity field, and calculating the glacier thickness distribution using an improved thickness inversion model; calculating the total glacier volume through spatial integration based on the glacier thickness distribution and glacier boundary information, and converting this to the total glacier reserve by combining the average density of the glacier ice; verifying the inverted glacier thickness distribution using measured thickness data independent of the modeling data, and optimizing the model parameters based on the verification results. This invention, through the deep fusion and verification optimization closed loop of multi-source remote sensing data and an improved glacier dynamics physical model, enables efficient and accurate detection of mountain glacier reserves.

This application relates to the field of geographic information processing technology and discloses a method for extracting streamlines in glaciers based on terrain intervention. The method involves acquiring a digital elevation model and polygonal outline data of the target glacier, performing masking, and selecting a set of boundary grid nodes to determine the potential glacier source points and glacier terminus points. Contour line distribution and auxiliary gradient scalars are calculated, and high-value overlapping areas are used to generate a restrictive terrain intervention mask patch. A basic cost tracking grid is generated based on the shortest distance and relative elevation from grid points within the glacier boundary's internal elevation raster to the glacier boundary. This patch replaces the corresponding position of the tracking grid, generating a composite constrained cost grid. Using the potential glacier source point set as the starting point and the glacier terminus as the ending point, an initial streamline network is optimally extracted from the composite constrained cost grid. After smoothing dimensionality reduction and removing redundant branches, the streamline data in the glacier is output. This invention avoids streamlines crossing obstacles and removes redundant branches, improving extraction accuracy.

The invention discloses a portable drill rod assembled rotary-impact ultrasonic drilling tool system, which belongs to the technical field of high-altitude mountain glacier drilling equipment and comprises a T-shaped grip, at least one assembled drill rod and a rotary power module which are sequentially and detachably connected from top to bottom. The ice core sampling drill bit or the combined impact power module and the rock core sampling drill bit are selected according to a drilling object; a cable bundle is arranged in the T-shaped grip, the assembled drill rod, the rotary power module and the impact power module in a penetrating manner, and the cable bundle comprises a motor driving cable and a piezoelectric driving cable which are respectively used for supplying power to a motor in the rotary power module and transmitting signals to a piezoelectric transducer in the impact power module; the system is powered by an outdoor mobile power supply and is controlled by a controller. The novel drilling system can adapt to the extreme environment of high-altitude mountain glacier, has efficient and low-consumption drilling capacity, and can realize continuous transmission of underground power and signals.

The field of the invention is surface albedo modification which applies to modifying the surface of areas of the earth to increase albedo. The invention relates to a means of preserving and restoring glaciers that are shrinking or receding due to climate change. Global warming has led to widespread shrinking of the cryosphere, with mass loss from ice sheets and glaciers. The shrinking of the cryosphere is accelerated by the ice-albedo feedback loop. The invention is a method of modifying the surface of a glacier by covering portions of it with highly reflective granules to increase albedo and reduce the melting of the glacier due to solar radiation. The invention may be used to preserve or restore glaciers and ice sheets that are melting due to climate change.

This invention relates to the field of measuring instrument technology, and in particular to a simple, extendable glacier surface height measuring pole. To address the problem of insufficient grip on the base plate, the following technology is employed: An improved support frame is provided at the lower end of the first pole. The improved support frame contains a limiting device and a gripping device. The limiting device secures the first pole to the improved support frame, while the gripping device ensures the improved support frame is stably placed on the glacier ground. The improved support frame simultaneously controls the opening and closing of both the limiting device and the gripping device. The advantages are: the limiting device and the gripping device work together with the improved support frame; the limiting device secures the first pole to the improved support frame, and the gripping device ensures the improved support frame is stably placed on the glacier ground. The improved support frame simultaneously controls the opening and closing of both the limiting device and the gripping device. The user only needs to rotate the pole to achieve this, making it convenient for operation in extreme weather conditions.

The invention relates to the field of three-dimensional motion vector measurement, in particular to a glacier three-dimensional motion vector measurement method based on unmanned aerial vehicle low-altitude oblique photography. The method comprises the following steps: acquiring multi-angle image data to obtain a multi-temporal original observation set; preprocessing the multi-temporal original observation set to obtain a preprocessed observation set; determining a three-dimensional point set based on the preprocessed observation set; based on the preprocessed observation set, introducing a geometry-reflection coupling consistency matching algorithm, carrying out registration on three-dimensional points in the three-dimensional point set, and determining a matching point of a next time phase; and obtaining a glacier three-dimensional motion vector based on the three-dimensional point of the current time phase and the matching point of the next time phase. The problems that in the glacier low-texture and strong-reflection environment, cross-temporal three-dimensional corresponding point matching is unstable, the matching error is large, and space reference drift exists between multi-temporal point clouds, so that glacier three-dimensional motion vector calculation is inaccurate are solved.

The invention provides a glacier debris flow dynamic risk early warning method and system based on a seismic signal, and belongs to the technical field of natural disaster early warning. Firstly, a glacier response chain of the seismic signal is constructed, and information such as a seismic signal propagation path, a glacier circle layer response sequence and a response characteristic transfer relation is acquired; analyzing risk evolution nodes in the response chain information, accurately determining key nodes of response triggering, energy accumulation, diffusion starting and the like to form a glacier debris flow risk evolution node set, and then linking the glacier debris flow risk evolution node set with the glacier region topographic features to obtain a glacier debris flow risk evolution node set; the method comprises the following steps: generating a dynamic risk evolution path capable of reflecting the dynamic development process of glacier debris flow, generating dynamic risk early warning content containing detailed early warning information based on the dynamic risk evolution path, and finally reversely associating field response data to a response chain construction process to realize optimization and updating of glacier response chain information of seismic signals. And the early warning capability for glacier debris flow disasters is effectively improved.