Gyon form automatic identification and hydrodynamic analysis method based on submarine topography data

Abstract

The invention relates to the technical field of sedimentary reservoir research, and discloses a submarine topography data-based canyon form automatic identification and hydrodynamic analysis method, which comprises the following steps of: acquiring submarine topography data of a target canyon; obtaining a thalweg line according to the submarine topography data; according to the thalweg, canyon morphological parameter data are obtained; based on the canyon morphological parameter data, constructing an improved hydrodynamic model, and obtaining hydraulic parameter data; and integrating morphological parameter data and hydraulic parameter data of the canyon to realize turbidity current event reconstruction and deposition dynamics explanation of the target canyon. Through automation and standardization of the whole process, the core defects of low efficiency, high subjectivity, incomplete coverage, limited parameters and the like of a traditional method are effectively overcome, and the novel seabed canyon analysis method which is efficient, objective and comprehensive and can go deep into a power mechanism from the form is provided.

Description

Technical Field

[0001] This invention relates to the field of sedimentary reservoir research technology, and in particular to a method for automatic identification of canyon morphology and hydrodynamic analysis based on seafloor topographic data. Background Technology

[0002] Submarine canyons, as important material and energy transport channels in deep-water sedimentary systems, are crucial for understanding global carbon cycles, ecosystem succession, and hydrocarbon reservoir distribution. Traditional canyon morphology analysis methods, based on commercial seismic data interpretation software (such as Petrel and Landmark) and GIS software (such as ArcGIS and Global Mapper), primarily rely on manual interpretation and measurement, which presents the following problems: 1) The identification and extraction efficiency is low, making it difficult to apply to large-scale regional surveys. Because researchers need to manually set up and measure each analytical profile, the time required increases dramatically with the expansion of the study area. When dealing with vast study areas such as continental slopes, this method requires a huge investment of manpower and time, has poor scalability, and severely restricts the feasibility of conducting systematic, large-scale surveys of submarine canyons.

[0003] 2) The identification results are highly subjective, making consistency and repeatability difficult to guarantee. Existing methods, from canyon identification and profile location selection to parameter measurement, heavily rely on the operator's personal experience and subjective judgment at every stage. Different operators, and even the same operator at different times, may produce significantly different identification boundaries and parameter measurement results for the same canyon. This directly leads to a lack of objective and unified standards for research findings, resulting in poor comparability and repeatability between different studies.

[0004] 3) Insufficient coverage, easily overlooking atypical or small geomorphic units. Manual methods typically focus on measuring known, large canyons with prominent morphologies, lacking a mechanism for indiscriminate scanning of the entire study area. Therefore, canyons with atypical morphologies, small scale, or not yet documented in the literature are easily overlooked, leading to biased statistical results based on this method and failing to fully and accurately reflect the overall landscape of the submarine canyons in the study area.

[0005] 4) Limited morphological parameters are available, making it difficult to support in-depth feature analysis. Manual methods are limited by their operation and can typically only obtain a limited number of two-dimensional profile parameters (such as width and depth). For more complex three-dimensional morphological features of canyons, such as canyon wall slope, canyon volume, surface area, automatic tracking of flow paths, and precise calculation of tortuosity, it is difficult to extract them effectively and accurately in batches manually, thus limiting in-depth analysis of canyon morphological features and evolutionary processes.

[0006] The root cause of these shortcomings lies in the fact that the core processes of existing methods rely on "manual operation" rather than standardized automated algorithms based on geomorphological features. This invention aims to provide a more efficient, objective, and comprehensive solution to address these deficiencies. Summary of the Invention

[0007] This invention provides a method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data, in order to overcome the shortcomings of existing technologies.

[0008] This invention provides a method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data, comprising: Obtain the seabed topography data of the target canyon; The thalweg line is obtained based on seabed topographic data; Based on the thalweg line, the canyon morphology parameters are obtained; Based on canyon morphology parameter data, an improved hydrodynamic model was constructed, and hydraulic parameter data were obtained. By integrating canyon morphological and hydraulic parameter data, the reconstruction of turbidity current events and the interpretation of sedimentary dynamics in the target canyon can be achieved.

[0009] According to the present invention, an automatic canyon morphology identification and hydrodynamic analysis method based on seabed topographic data is provided, wherein obtaining the thalweg line based on the seabed topographic data includes: Based on seabed topographic data, deepwater points in canyons are identified by considering changes in topographic depth and slope, thus obtaining a set of deepwater points. The thalweg line is obtained by fitting a set of points in the thalweg.

[0010] According to the present invention, an automatic canyon morphology identification and hydrodynamic analysis method based on seabed topographic data is provided, wherein obtaining canyon morphology parameter data based on the thalweg line includes: A vertical cross-section is generated at fixed intervals along the thalweg line; For each vertical cross section, the slope analysis method is used to identify the boundary points of the two wings of the canyon, and combined with the deep-water point set, the canyon morphological parameter data of each vertical cross section is calculated. The canyon morphological parameter data includes any one of the following morphological parameters or any combination thereof: width, depth, width-to-depth ratio, and curvature. By combining the canyon morphological parameter data from all vertical cross sections, a sequence of canyon morphological parameters that continuously varies along the thalweg line is obtained.

[0011] This invention provides a method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data, with a width of... The definition is the horizontal distance between the two boundary points on either side of the canyon, and the depth is... The width-to-depth ratio is defined as the elevation difference between the deep-water point and the higher boundary point on either side of the canyon's boundary. The definition is width With depth The ratio ( ), curvature The definition is the actual length of the thalweg line in the current paragraph. Straight-line distance from the endpoint The ratio ( ).

[0012] According to the present invention, an automatic canyon morphology identification and hydrodynamic analysis method based on seabed topographic data is provided, wherein the hydrodynamic parameter data includes any one or any combination of the following: turbidity current velocity, bed shear stress, and sediment transport flux.

[0013] According to the present invention, an automatic canyon morphology identification and hydrodynamic analysis method based on seabed topographic data is provided, and the expression of the improved hydrodynamic model is as follows: , In the formula, For turbidity flow velocity, This is the converted density coefficient of the sediment. Acceleration due to gravity (m / s²) 2 ), The depth-average volume concentration of turbidity (vol.%). The fluid thickness (m) represents the full depth of the canyon. This is the tangent of the canyon slope θ; The coefficient of friction at the interface between the turbid current and seawater is denoted as . is the friction coefficient between the turbid flow and the substrate.

[0014] According to the present invention, an automatic canyon morphology identification and hydrodynamic analysis method based on seabed topographic data is provided, and the expression for the seabed shear stress is as follows: , In the formula, For the shear stress of the subbed, The density of seawater, This is the converted density coefficient of the sediment. Acceleration due to gravity (m / s²) 2 ), The depth-average volume concentration of turbidity (vol.%). The fluid thickness (m) is the full depth of the canyon (same as "the definition of depth H is the elevation difference between the deep channel point and the higher boundary point on the two sides of the canyon"). This is the tangent of the canyon slope θ.

[0015] According to the present invention, an automatic canyon morphology identification and hydrodynamic analysis method based on seabed topographic data is provided, and the expression for sediment transport flux is: , In the formula, For sediment transport flux, The depth-average volume concentration of turbidity (vol.%). The fluid thickness (m) represents the full depth of the canyon. For turbidity flow velocity, This represents the horizontal distance between the boundary points on both sides of the canyon.

[0016] This invention also provides an automatic canyon morphology identification and hydrodynamic analysis system based on seabed topographic data, comprising: The data acquisition module is used to acquire seabed topographic data of the target canyon. The fitting module is used to obtain the thalweg line based on seabed topography data. The first calculation module is used to obtain canyon morphological parameter data based on the thalweg line; The second calculation module is used to: construct an improved hydrodynamic model based on canyon morphology parameter data, and obtain hydraulic parameter data; The analysis module is used to integrate canyon morphological and hydraulic parameter data to reconstruct turbidity events and interpret sedimentary dynamics in the target canyon.

[0017] The present invention also provides an electronic device, including a processor and a memory storing a computer program, wherein the processor executes the computer program to implement any of the above-described methods for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data.

[0018] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described methods for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data.

[0019] The present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute any of the above-described methods for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data.

[0020] The present invention provides an automatic canyon morphology identification and hydrodynamic analysis method based on seabed topographic data, which has at least the following beneficial effects: This invention utilizes automated algorithms to automatically extract thalveolar lines, automatically generate cross sections, and perform batch calculations of morphological parameters. The processing speed of this invention is less affected by the data size, enabling efficient processing of seabed topographic data over large areas (such as the entire continental slope). This makes systematic and large-scale surveys of submarine canyons possible, overcoming the bottleneck of traditional methods that are difficult to scale due to the enormous manpower and time costs.

[0021] This invention, based on unified and quantified geomorphic feature identification standards (such as identifying thallopaths based on changes in terrain depth and slope, and identifying canyon boundaries using slope analysis), standardizes and proceduralizes the entire analysis process, minimizing biases introduced by different operators or individual experience and subjective judgment. It ensures that for the same data, different times or different research teams executing this invention can obtain highly consistent analysis results, greatly improving the objectivity, comparability, and reproducibility of research findings.

[0022] This invention enables unbiased and systematic scanning and analysis of the entire input seabed topographic data, independent of prior knowledge or researcher attentional bias. It can effectively identify not only large, prominent canyons but also, to an equal degree, discover and extract atypical, smaller, or previously undocumented seabed canyons, thereby obtaining a more complete and realistic statistical picture of regional canyon topography and avoiding statistical bias caused by human oversight.

[0023] This invention can acquire continuously varying two-dimensional profile morphological parameters along the thalweg (such as width, depth, width-to-depth ratio, and tortuosity), and accurately extract three-dimensional canyon morphological parameters (such as continuous depth H, slope S, and width W). An improved hydrodynamic model is then constructed to quantitatively calculate key hydraulic parameters (such as turbidity current velocity, bed shear stress, and sediment transport flux). This effectively overcomes the limitations of traditional manual methods that can only acquire limited static morphological parameters, providing multi-dimensional data support for in-depth analysis of canyon erosion-deposition dynamics, reconstruction of paleoturbidity current events, and understanding their correlation with global carbon cycles and hydrocarbon reservoir distribution.

[0024] This invention organically combines automated canyon morphology identification with quantitative hydrodynamic analysis, forming a complete technical chain of "data input → morphology extraction → model calculation → dynamic interpretation". Going beyond a static description of canyon morphology, this invention further utilizes morphological parameters to invert the hydrodynamic conditions during its formation and evolution, achieving a leap from "morphological description" to "process interpretation," providing a more insightful analytical tool for the study of the formation of submarine canyons, geological hazard assessment, and resource exploration. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0026] Figure 1 This is a flowchart illustrating a method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data, provided by the present invention.

[0027] Figure 2 This is a schematic diagram of the structure of an automatic canyon morphology identification and hydrodynamic analysis system based on seabed topographic data provided by the present invention.

[0028] Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, embodiments of this invention, and should not be construed as limiting the invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention. In the description of this invention, it should be understood that the terminology used is for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0030] Figure 1 This is a flowchart illustrating a method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data, as provided by the present invention. The executing entity of this method can be any applicable terminal-side device or network-side device, such as a canyon morphology identification and hydrodynamic analysis device based on seabed topographic data.

[0031] See Figure 1 The present invention provides a method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data, which may include: S110. Obtain the seabed topographic data of the target canyon.

[0032] In one embodiment, seafloor topographic data, such as DEM (Digital Elevation Model) format data or other raster or vector format topographic data, can be obtained from the three-dimensional seismic interpretation results of the target canyon.

[0033] S120. Based on the seabed topographic data, the thalweg line is obtained.

[0034] In one embodiment, S120 may include: Based on seabed topographic data, canyon deepwater points are identified by varying the depth and slope of the terrain, resulting in a deepwater point set. Specifically, the depth variation rate of each grid point along the slope direction can be calculated to find the deepest point of the local terrain and the location of the greatest slope change, automatically identifying canyon deepwater points. Curvature analysis is then used to filter out noise. In addition, manual import can be used to correct a small number of key nodes (such as confluence points of branches or areas of abrupt terrain changes), improving the accuracy of the deepwater point set. Based on the abyssal point set, a continuous and smooth abyssal line, along with its geometric path and length parameters, is obtained by fitting the line using equal arc length resampling and B-spline smoothing.

[0035] S130. Based on the thalweg line, obtain the canyon morphological parameter data.

[0036] In one embodiment, S130 may include: A vertical cross section is generated along the thalweg line at a fixed interval (80m in this embodiment, the interval is adjustable to take into account both terrain complexity and computational efficiency). Specifically, the direction of the vertical cross section is the normal of the tangent of the thalweg line at that location, ensuring that the vertical cross section is orthogonal to the canyon direction. For each vertical cross-section, the slope analysis method is used to identify the boundary points on both sides of the canyon (in this embodiment, the search starts from the thalweg point and proceeds to both sides, calculating the slope between adjacent points, and determining the location where the slope is first less than 2° (threshold adjustable) as the boundary point on both sides of the canyon). Combined with the thalweg point set, the canyon morphological parameter data for each vertical cross-section is calculated. The canyon morphological parameter data includes any one of the following morphological parameters or any combination thereof: width, depth, width-to-depth ratio, and curvature. Specifically, the width... The definition is the horizontal distance between the two boundary points on either side of the canyon, and the depth is... The width-to-depth ratio is defined as the elevation difference between the deep-water point and the higher boundary point on either side of the canyon's boundary. The definition is width With depth The ratio ( ), curvature The definition is the actual length of the thalweg line in the current paragraph. Straight-line distance from the endpoint The ratio ( ); By combining the canyon morphological parameter data from all vertical cross sections, a sequence of canyon morphological parameters that continuously varies along the thalweg is obtained, which is used to characterize the spatial variation of canyon morphology.

[0037] S140. Based on the canyon morphology parameter data, an improved hydrodynamic model is constructed, and hydraulic parameter data is obtained. The hydraulic parameter data includes any one or any combination of the following: turbidity flow velocity, bed shear stress, and sediment transport flux.

[0038] In one embodiment, S130 may include: The expression for the improved hydrodynamic model is: , In the formula, For turbidity flow velocity, For the converted density coefficient of sediments, this embodiment selects quartz at approximately 1.65. Acceleration due to gravity (m / s²) 2 ), The turbidity concentration is the depth-average volumetric concentration (vol.%), with an initial value of 0.2% based on in-situ observation data of turbidity flows globally (especially along passive continental margins). It is assumed that the turbidity concentration is inversely proportional to the canyon cross-sectional area, i.e., C0×A0=C1×A1. The fluid thickness (m) is the full depth of the canyon. In this embodiment, the total volume of sediment carried by the turbidity flow remains constant, meaning that the product of the turbidity flow concentration and the cross-sectional area of ​​the canyon is assumed to remain constant upstream and downstream. This is the tangent of the canyon slope θ; The coefficient of friction at the interface between turbid current and seawater is given by the empirical formula: Friction coefficient at the interface between turbidity current and seawater is corrected based on canyon slope. To adapt to the confinement effect of canyon topography on fluid flow, The friction coefficient between the turbid flow and the substrate ranges from 0.002 to 0.006, and is 0.005 in this embodiment.

[0039] The expression for the shear stress of the subbed is: , In the formula, For the shear stress of the subbed, For the density of seawater, this example uses 1040 kg / m³. 3 .

[0040] The expression for sediment transport flux is: , In the formula, For sediment transport flux, The depth-average volume concentration of turbidity (vol.%).

[0041] S150, by integrating canyon morphological and hydraulic parameter data, enables the reconstruction of turbidity current events and interpretation of sedimentary dynamics in the target canyon, which can be used for deep-sea oil and gas reservoir prediction, carbon cycle research, and seabed geological hazard assessment.

[0042] This invention provides an automatic canyon morphology identification and hydrodynamic analysis method based on seafloor topographic data. By integrating resampling, smoothing algorithms, and manual interactive correction, it significantly improves the accuracy of automatic thalweg line extraction. Employing automatic boundary identification technology based on fixed-spacing cross-section generation and slope threshold judgment, it achieves high-throughput and repeatable calculation of canyon morphology parameters, overcoming the shortcomings of traditional manual methods such as low efficiency, strong subjectivity, and poor scalability. Furthermore, this invention embeds the acquired canyon morphology parameters as key topographic constraint factors into classical hydrodynamic formulas for correction, constructing an improved hydrodynamic model directly coupled with topographic features. This effectively solves the problem of topographic constraint effects being ignored or simplified in traditional analysis, enabling quantitative calculation of key parameters such as turbidity current velocity, bed shear stress, and sediment transport flux. Ultimately, this invention forms a complete technical chain from data input, automatic morphology extraction, model calculation to dynamic process interpretation, achieving not only comprehensive identification of seafloor canyon systems but also supporting a fundamental leap from static morphological description to dynamic erosion-deposition process inversion, providing a powerful quantitative tool for deep-sea scientific research, geological hazard assessment, and oil and gas resource exploration.

[0043] The automatic canyon morphology identification and hydrodynamic analysis system based on seabed topography data provided by the present invention is described below. The automatic canyon morphology identification and hydrodynamic analysis system based on seabed topography data described below can be referred to in correspondence with the automatic canyon morphology identification and hydrodynamic analysis method based on seabed topography data described above.

[0044] See Figure 2 The present invention provides an automatic canyon morphology identification and hydrodynamic analysis system based on seabed topographic data, which may include: The data acquisition module is used to acquire seabed topographic data of the target canyon. The fitting module is used to obtain the thalweg line based on seabed topography data. The first calculation module is used to obtain canyon morphological parameter data based on the thalweg line; The second calculation module is used to: construct an improved hydrodynamic model based on canyon morphology parameter data, and obtain hydraulic parameter data; The analysis module is used to integrate canyon morphological and hydraulic parameter data to reconstruct turbidity events and interpret sedimentary dynamics in the target canyon.

[0045] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3As shown, the electronic device may include a processor 810, a communications interface 820, a memory 830, and a communication bus 840, wherein the processor 810, the communications interface 820, and the memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions in the memory 830 to execute the following steps: Obtain the seabed topography data of the target canyon; The thalweg line is obtained based on seabed topographic data; Based on the thalweg line, the canyon morphology parameters are obtained; Based on canyon morphology parameter data, an improved hydrodynamic model was constructed, and hydraulic parameter data were obtained. By integrating canyon morphological and hydraulic parameter data, the reconstruction of turbidity current events and the interpretation of sedimentary dynamics in the target canyon can be achieved.

[0046] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0047] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being able to be stored on a non-transitory computer-readable storage medium, and the computer program being executed by a processor, enabling the computer to perform the following steps: Obtain the seabed topography data of the target canyon; The thalweg line is obtained based on seabed topographic data; Based on the thalweg line, the canyon morphology parameters are obtained; Based on canyon morphology parameter data, an improved hydrodynamic model was constructed, and hydraulic parameter data were obtained. By integrating canyon morphological and hydraulic parameter data, the reconstruction of turbidity current events and the interpretation of sedimentary dynamics in the target canyon can be achieved.

[0048] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps: Obtain the seabed topography data of the target canyon; The thalweg line is obtained based on seabed topographic data; Based on the thalweg line, the canyon morphology parameters are obtained; Based on canyon morphology parameter data, an improved hydrodynamic model was constructed, and hydraulic parameter data were obtained. By integrating canyon morphological and hydraulic parameter data, the reconstruction of turbidity current events and the interpretation of sedimentary dynamics in the target canyon can be achieved.

[0049] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0050] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data, characterized in that, include: Obtain the seabed topography data of the target canyon; The thalweg line is obtained based on seabed topographic data; Based on the thalweg line, the canyon morphology parameters are obtained; Based on canyon morphology parameter data, an improved hydrodynamic model was constructed, and hydraulic parameter data were obtained. By integrating canyon morphological and hydraulic parameter data, the reconstruction of turbidity current events and the interpretation of sedimentary dynamics in the target canyon can be achieved.

2. The method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data according to claim 1, characterized in that, The process of obtaining the thalweg line based on seabed topographic data includes: Based on seabed topographic data, deepwater points in canyons are identified by considering changes in topographic depth and slope, thus obtaining a set of deepwater points. The thalweg line is obtained by fitting the thalweg point set.

3. The method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data according to claim 2, characterized in that, The canyon morphology parameter data obtained based on the thalweg line includes: A vertical cross-section is generated at fixed intervals along the thalweg line; For each vertical cross section, the slope analysis method is used to identify the boundary points of the two wings of the canyon, and combined with the deep-water point set, the canyon morphological parameter data of each vertical cross section is calculated. The canyon morphological parameter data includes any one of the following morphological parameters or any combination thereof: width, depth, width-to-depth ratio, and curvature. By combining the canyon morphological parameter data from all vertical cross sections, a sequence of canyon morphological parameters that continuously varies along the thalweg line is obtained.

4. The method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data according to claim 3, characterized in that, Width is defined as the horizontal distance between the boundary points on both sides of the canyon; depth is defined as the elevation difference between the thalweg point and the higher boundary point on one side of the canyon; width-to-depth ratio is defined as the ratio of width to depth; and curvature is defined as the ratio of the actual length of the thalweg line in the current segment to the straight-line distance to the endpoint.

5. The method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data according to claim 3, characterized in that, Hydraulic parameters include any one or any combination of the following: turbidity velocity, bed shear stress, and sediment transport flux; The expression for the improved hydrodynamic model is as follows: ， In the formula, For turbidity flow velocity, This is the converted density coefficient of the sediment. It is the acceleration due to gravity. The depth-average volume concentration of turbidity. For fluid thickness, Let be the tangent of the canyon slope θ. The coefficient of friction at the interface between the turbid current and seawater is denoted as . is the friction coefficient between the turbid flow and the substrate.

6. The method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data according to claim 5, characterized in that, The expression for the shear stress of the subbed is: ， In the formula, For the shear stress of the subbed, The density of seawater, This is the converted density coefficient of the sediment. It is the acceleration due to gravity. The depth-average volume concentration of turbidity. For fluid thickness, This is the tangent of the canyon slope.

7. The method for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data according to claim 5, characterized in that, The expression for sediment transport flux is: ， In the formula, For sediment transport flux, The depth-average volume concentration of turbidity. For fluid thickness, For turbidity flow velocity, This represents the horizontal distance between the boundary points on both sides of the canyon.

8. A system for automatic canyon morphology identification and hydrodynamic analysis based on seabed topographic data, characterized in that, include: The data acquisition module is used to acquire seabed topographic data of the target canyon. The fitting module is used to obtain the thalweg line based on seabed topography data. The first calculation module is used to obtain canyon morphological parameter data based on the thalweg line; The second calculation module is used to: construct an improved hydrodynamic model based on canyon morphology parameter data, and obtain hydraulic parameter data; The analysis module is used to integrate canyon morphological and hydraulic parameter data to reconstruct turbidity events and interpret sedimentary dynamics in the target canyon.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the automatic canyon morphology identification and hydrodynamic analysis method based on seabed topographic data as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the automatic canyon morphology identification and hydrodynamic analysis method based on seabed topographic data as described in any one of claims 1 to 7.

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