Method and device for evaluating influence of debris flow on river scouring and silting evolution

By obtaining and analyzing relevant data on rivers and debris flow processes, determining water-sand boundary conditions and limiting the initial parameters of the prediction model, predicting the impact of debris flow on rivers, the problem of failure to effectively evaluate the impact of debris flow on river silt evolution in the existing technology, and scientific guidance on river protection and development is achieved.

CN115270445BActive Publication Date: 2025-06-10CHINA INST OF WATER RESOURCES & HYDROPOWER RES +2
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Patent Information

Application Number
CN202210845967.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-07-18
Publication Date
2025-06-10
Estimated Expiration
2042-07-18

AI Technical Summary

Technical Problem

The existing technology has failed to effectively evaluate the impact of mudslides on the evolution of silt in mountainous rivers, resulting in insufficient guidance on river protection and development.

Method used

By obtaining the first data required to model the river section and the second data required for generalization of the debris flow process, the water-sand boundary conditions for the debris flow inflow are determined, and the initial parameters of the pre-established prediction model are defined based on these conditions, and the changes in the sand content and riverbed elevation of the river section in the target time period before and after the debris flow outbreak are finally predicted.

Benefits of technology

Accurate assessment of the impact of mudslides on river silt evolution has been achieved, and scientific guidance on river protection and development has been provided.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the present application provides a method and device for evaluating the impact of debris flow on the erosion and deposition evolution of a river. The method for evaluating the impact of debris flow on the erosion and deposition evolution of a river includes: obtaining the first data required for the modeling river section and the second data required for the generalization of the debris flow process, determining the water-sediment boundary conditions for the confluence of the debris flow according to the first data and the second data, limiting the initial parameters of a pre-established prediction model in combination with the water-sediment boundary conditions, and finally predicting the change in sediment concentration and the change in riverbed elevation of the river section in the target time period before and after the debris flow outbreak according to the pre-established prediction model, so as to accurately evaluate the impact of the debris flow on the erosion and deposition evolution of the river.
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Description

Technical Field

[0001] The present application relates to the technical field of water conservancy engineering, and particularly relates to a method and device for evaluating the influence of debris flow on the erosion and deposition evolution of rivers. Background Art

[0002] Debris flow is a special fluid between sediment-laden flow and landslide, and often occurs in tributaries or branches of mountain rivers. The occurrence of debris flow on both banks of mountain rivers may lead to an increase in the sediment concentration of the river flow, as well as an elevation of the riverbed elevation near the debris flow gully mouth, and even block the river channel to varying degrees, thereby affecting the erosion and deposition evolution process of the river. Therefore, accurately evaluating the influence of debris flow on the erosion and deposition evolution of mountain rivers is of great significance for guiding the protection and development of mountain rivers. Summary of the Invention

[0003] In view of the above problems, the present application provides a method and device for evaluating the influence of debris flow on the erosion and deposition evolution of rivers, so as to at least solve the problem that the influence of debris flow on the erosion and deposition evolution of rivers is not considered in the related art.

[0004] In a first aspect, an embodiment of the present application provides a method for evaluating the influence of debris flow on the erosion and deposition evolution of rivers, including: obtaining first data required for the modeling river reach and second data required for the generalization of the debris flow process; determining the water-sediment boundary conditions for the confluence of the debris flow based on the first data and the second data; defining the initial parameters of a pre-established prediction model based on the water-sediment boundary conditions; predicting the change in sediment concentration and the change in riverbed elevation of the river reach during the target time period before and after the occurrence of the debris flow based on the pre-established prediction model.

[0005] In combination with the first aspect, in some embodiments, the determining the water-sediment boundary conditions for the confluence of the debris flow based on the first data and the second data includes: confirming the peak flow and duration of the debris flow based on the first data or the second data; confirming the generalization model of the debris flow process based on the second data; confirming the target generalization process of the debris flow based on the peak flow, duration, and generalization model; and confirming the water-sediment boundary conditions based on the target generalization process.

[0006] In combination with the first aspect, in some embodiments, the method further includes: establishing a prediction model, including:

[0007] establishing a river reach model based on the first data and the generalization model; dividing the river reach model into model grids corresponding to the calculation range, and determining the confluence section of the debris flow gully corresponding to the model grids to establish a prediction model.

[0008] In combination with the first aspect, in some embodiments, predicting the change in sediment concentration and riverbed elevation in the target time period before and after the debris flow outbreak based on the pre-established prediction model includes: calculating the initial values of each node in the model grid of the prediction model before the debris flow outbreak and the end values in the target time period after the debris flow outbreak based on a river simulation solver; and confirming the change in sediment concentration and riverbed elevation in the river reach based on the initial values and the end values.

[0009] In combination with the first aspect, in some embodiments, confirming the peak discharge and duration of the debris flow based on the first data or the second data includes: determining whether there is debris flow process data in the second data; in the case of determining that there is debris flow process data in the second data, confirming the peak discharge and duration of the debris flow based on the debris flow process data; and in the case of determining that there is no debris flow process data in the second data, confirming the peak discharge and duration of the debris flow based on the first data.

[0010] In combination with the first aspect, in some embodiments, confirming the peak discharge and duration of the debris flow based on the first data includes: calculating the peak discharge of the debris flow by the morphological survey method based on the first data using a first calculation formula or calculating the peak discharge of the debris flow by the storm flood method based on the first data using a second calculation formula. The first calculation formula is:

[0011] Q c =W c V c ;

[0012] The second calculation formula is:

[0013]

[0014] where Q c is the peak discharge of the debris flow; W c is the cross-sectional area of the debris flow; V c is the average cross-sectional velocity of the debris flow; is the sediment correction coefficient of the debris flow, Q P is the design flow of the storm flood with a frequency of P, D c is the blockage coefficient of the debris flow.

[0015] In combination with the first aspect, in some embodiments, confirming the water-sediment boundary conditions based on the target generalization process includes: calculating the sediment concentration of the inflowing water using a third calculation formula based on the target generalization process. The third calculation formula is:

[0016]

[0017] where S d is the sediment concentration of the water flowing into the river where the debris flow occurs, γd is the unit weight of debris flow fluid, γ s is the unit weight of solids, γ w is the unit weight of water, S d is the sediment concentration of the water flow where the debris flow converges.

[0018] In a second aspect, an embodiment of the present application provides a device for evaluating the impact of debris flow on the scouring and silting evolution of a river, including: an acquisition module for acquiring first data required for a modeling river reach and second data required for generalizing the debris flow process. A determination module for determining the water-sediment boundary conditions of the debris flow convergence based on the first data and the second data. A limitation module for limiting the initial parameters of a pre-established prediction model based on the water-sediment boundary conditions. A prediction module for predicting the change in sediment concentration and the change in riverbed elevation of the river reach during a target time period before and after the debris flow outbreak based on the pre-established prediction model.

[0019] In a third aspect, an embodiment of the present application provides an electronic device, which includes: at least one processor and a memory; the processor is used to execute a computer program stored in the memory to implement the method for evaluating the impact of debris flow on the scouring and silting evolution of a river as introduced in any implementation manner of the first aspect.

[0020] In a fourth aspect, an embodiment of the present application provides a computer storage medium, which stores one or more programs, and the one or more programs can be executed by the electronic device as introduced in the third aspect to implement the method for evaluating the impact of debris flow on the scouring and silting evolution of a river as introduced in any implementation manner of the first aspect.

[0021] A method and device for evaluating the impact of debris flow on the scouring and silting evolution of a river provided by an embodiment of the present application, by acquiring first data required for a modeling river reach and second data required for generalizing the debris flow process, determining the water-sediment boundary conditions of the debris flow convergence according to the first data and the second data, combining the water-sediment boundary conditions to limit the initial parameters of a pre-established prediction model, and finally predicting the change in sediment concentration and the change in riverbed elevation of the river reach during a target time period before and after the debris flow outbreak according to the pre-established prediction model, so as to accurately evaluate the impact of debris flow on the scouring and silting evolution of the river.

[0022] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present application will be described in more detail below based on embodiments with reference to the drawings.

[0024] Figure 1Shows a schematic flowchart of a method for evaluating the impact of debris flow on the erosion and deposition evolution of a river proposed in an embodiment of the present application;

[0025] Figure 2 Shows a schematic flowchart of a process in step S120 of a method for evaluating the impact of debris flow on the erosion and deposition evolution of a river proposed in an embodiment of the present application;

[0026] Figure 3 Shows another schematic flowchart of a method for evaluating the impact of debris flow on the erosion and deposition evolution of a river proposed in an embodiment of the present application;

[0027] Figure 4 Shows a schematic flowchart of a process in step S140 of a method for evaluating the impact of debris flow on the erosion and deposition evolution of a river proposed in an embodiment of the present application;

[0028] Figure 5 Shows a structural block diagram of a device for evaluating the impact of debris flow on the erosion and deposition evolution of a river proposed in an embodiment of the present application;

[0029] Figure 6 Shows a schematic diagram of the generalized process line of debris flow discharge proposed in an embodiment of the present application;

[0030] Figure 7 Shows a comparison chart of the sediment concentration distribution in the river section before and after the debris flow outbreak proposed in an embodiment of the present application;

[0031] Figure 8 Shows a comparison chart of the erosion and deposition distribution in the river section before and after the debris flow outbreak proposed in an embodiment of the present application;

[0032] Figure 9 Shows a structural block diagram of an electronic device for executing the method for evaluating the impact of debris flow on the erosion and deposition evolution of a river according to an embodiment of the present application proposed in an embodiment of the present application;

[0033] Figure 10 Shows a computer-readable storage medium for storing or carrying out the method for evaluating the impact of debris flow on the erosion and deposition evolution of a river according to an embodiment of the present application proposed in an embodiment of the present application. Detailed implementation manners

[0034] To make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings. The illustrative embodiments and descriptions thereof of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0035] In the related art, research on the impact of debris flows on mountain rivers at home and abroad mainly focuses on the problem of debris flow blocking rivers. For example, relevant experiments on the influencing factors of debris flow blocking rivers are carried out, and discriminant formulas for the possibility of debris flow causing river blockage are proposed. The method proposed in this application is mainly applied to the numerical simulation process of the impact of debris flows on the erosion and deposition evolution of mountain rivers.

[0036] In view of the above problems, the applicant proposes a method and device for evaluating the impact of debris flows on river erosion and deposition evolution according to the embodiments of this application. By obtaining the first data required for the modeling river section and the second data required for the generalization of the debris flow process, and determining the water-sediment boundary conditions for the inflow of debris flow based on the above information, and inputting the water-sediment boundary conditions as the limiting conditions of a pre-established prediction model, and then predicting through the prediction model, so as to realize the evaluation of the change in sediment concentration in the river caused by the outbreak of debris flow and the evaluation of the change in riverbed elevation caused by the outbreak of debris flow. Among them, the method for evaluating the impact of debris flows on river erosion and deposition evolution will be described in detail in the subsequent embodiments.

[0037] The following introduces the application scenarios of the method for evaluating the impact of debris flows on river erosion and deposition evolution provided in the embodiments of this application:

[0038] One method for evaluating the impact of debris flows on river erosion and deposition evolution provided in the embodiments of this application can be applied to, for example, Figure 5 the device 500 and the electronic device 200 for evaluating the impact of debris flows on river erosion and deposition evolution as shown in Figure 9 ). The electronic device 200 can be one or more. The electronic device 200 can be intelligent terminals such as computers and mobile phones. The embodiments of this application do not make specific limitations on this.

[0039] The following will specifically describe the embodiments of this application with reference to the drawings.

[0040] Please refer to Figure 1 , Figure 1 which is a schematic flow chart of a method for evaluating the impact of debris flows on river erosion and deposition evolution provided in the embodiments of this application. The method may include steps S110 to S140.

[0041] Step S110: Obtain the first data required for the modeling river section and the second data required for the generalization of the debris flow process.

[0042] In the embodiments of this application, the first data may be basic data such as water-sediment and terrain required for river simulation, and the second data is the data required for the generalization of the debris flow process. Among them, the first data and the second data can be obtained through pre-surveying and researching.

[0043] Step S120: Determine the water-sediment boundary conditions for the inflow of debris flow based on the first data and the second data.

[0044] In the embodiments of the present application, the water-sediment boundary conditions of debris flow confluence can be confirmed based on the first data and the second data. Among them, the water-sediment boundary conditions can be directly obtained from the above data or calculated through the above data.

[0045] Step S130: Define the initial parameters of the pre-established prediction model based on the water-sediment boundary conditions.

[0046] In the embodiments of the present application, the water-sediment boundary conditions can be input into the prediction model as the defined input conditions of the prediction model. After being defined by the water-sediment boundary conditions, the initial parameters of the river reach prediction model in the prediction model are adjusted, that is, the initial situation of the river reach.

[0047] Step S140: Predict the change in sediment concentration and the change in riverbed elevation of the river reach during the target time period before and after the debris flow outbreak based on the pre-established prediction model.

[0048] In the embodiments of the present application, the prediction model with the water-sediment boundary conditions defined as the limiting conditions can more accurately estimate the changes in the sediment concentration of the river and the sediment concentration of the downstream river water flow after the debris flow outbreak at the corresponding river reach location, and then determine the change in the sediment concentration of the river reach and the change in the riverbed elevation during the corresponding target time period. Among them, the target time period can be the time preset by the user on the electronic device. Exemplarily, it can be set several hours later, several months, several years later, etc. Of course, it can also be a certain real-time time point.

[0049] In this embodiment, the water-sediment boundary conditions of debris flow confluence are determined based on the basic data of the pre-obtained modeling river reach and the second data of the debris flow process generalization, so as to accurately evaluate the long-term impact of debris flow on the river, and confirm the change in sediment concentration and the change in riverbed elevation of the river reach during the target time period under the influence of debris flow.

[0050] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of one of the steps S120 in a method for evaluating the impact of debris flow on the erosion and deposition evolution of a river in the present application. The method may include steps S210 to S240.

[0051] Step S210: Confirm the peak flow and duration of the debris flow based on the first data or the second data.

[0052] In the embodiments of the present application, the peak flow and duration of the debris flow can be calculated through the collected basic data or the second data required for the generalization of the debris flow process.

[0053] Step S220: Confirm the generalization model of the debris flow process based on the second data.

[0054] In the embodiments of the present application, the corresponding debris flow discharge generalization process line schematic diagram as shown in Figure 6 can be obtained through the second data.

[0055] Step S230: Confirm the target generalization process of the debris flow based on the peak discharge, duration, and generalization model.

[0056] In the embodiments of the present application, considering that the river scouring and silting evolution is a long-term process, the peak debris flow discharge can be obtained by obtaining the peak discharge, duration, and the Figure 6 together with the target generalization process under the current conditions.

[0057] Step S240: Confirm the water-sediment boundary conditions based on the target generalization process.

[0058] In this embodiment, according to the peak discharge, duration of the debris flow, and the above-mentioned debris flow discharge generalization process line schematic diagram, the debris flow process can be generalized, and this process is used as the water flow boundary condition for the debris flow to enter the confluence.

[0059] Please refer to Figure 3 , Figure 3 which is another process schematic diagram in a method for evaluating the impact of debris flow on river scouring and silting evolution. The method for evaluating the impact of debris flow on river scouring and silting evolution includes establishing a prediction model, and establishing the prediction model can include Step S310 to Step S320.

[0060] Step S310: Establish a river reach model based on the first data and the generalization model.

[0061] In the embodiments of the present application, an initial river reach model is established through basic water-sediment, terrain, and other first data and the generalization model.

[0062] Step S320: Divide the river reach model into model grids corresponding to the calculation range, and determine the confluence section corresponding to the debris flow gully mouth on the model grid to establish the prediction model.

[0063] In the embodiments of the present application, the river reach model can be divided into multiple model grids, and an inlet section is set at the debris flow gully mouth of the confluent river. Among them, the setting of the debris flow gully mouth can be obtained according to the preliminary data survey, and the grid division can be carried out using software such as SMS and Pointwise.

[0064] In this embodiment, after the basic data preparation is completed, the prediction model is determined by dividing the model grids of the river reach model, which is convenient for statistical subsequent processing of the information changes of each grid to obtain the changes of the nodes in each grid, and is convenient for subsequent analysis and evaluation of the impact of debris flow on the scouring and silting evolution of mountain rivers.

[0065] Please refer to Figure 4 ,Figure 4 It is a schematic flow diagram in step S140 of a method for evaluating the impact of debris flow on the erosion and deposition evolution of a river. Based on a pre-established prediction model, the sediment content change and riverbed elevation change of the river section in the target time period before and after the debris flow outbreak can be predicted, which may include steps S410 to S420.

[0066] Step S410: Calculate the initial values of each node in the model grid of the prediction model before the debris flow outbreak and the end values in the target time period after the debris flow outbreak based on the river simulation solver.

[0067] In the embodiment of the present application, the river water and sediment model solver is composed of a water flow motion equation set, a suspended sediment transport equation, a bed load transport equation set, and a riverbed deformation calculation formula, which belongs to the prior art of simulating river erosion and deposition evolution data in this field, and the present application will not elaborate on this.

[0068] Step S420: Confirm the sediment content change and riverbed elevation change of the river section based on the initial value and the end value.

[0069] In the embodiment, the target time period may refer to a time point in the generalization of the debris flow process. Before and after the outbreak, the data of each node in the model grid of the corresponding prediction model change. The erosion and deposition evolution situation of the corresponding conditions at each position in the river section, that is, the sediment content and riverbed elevation change situation, is estimated through the initial value before the outbreak and the end value after the outbreak.

[0070] Considering the actual situation, in the suddenness of debris flow, it is very difficult to obtain the process data of debris flow in the corresponding area.

[0071] In some embodiments, step S210 may further include steps S212 to S216.

[0072] Step S212: Determine whether there is debris flow process data in the second data.

[0073] Step S214: When it is determined that there is debris flow process data in the second data, confirm the peak flow and duration of the debris flow based on the debris flow process data.

[0074] Step S216: When it is determined that there is no debris flow process data in the second data, confirm the peak flow and duration of the debris flow based on the data of the first data.

[0075] In the embodiments of the present application, since there is a small probability of debris flow process data in the corresponding area, when there is debris flow process data in the corresponding area, the debris flow process data can be directly obtained. That is, the process data can also be regarded as the basic data stored in the first data. Therefore, the peak flow and duration of the debris flow can be directly obtained through the first data. When the debris flow process data is available in the second data, the peak flow and duration of the debris flow can be directly calculated through the debris flow process data.

[0076] In some embodiments, step S210 further includes: confirming the peak flow and duration of the debris flow based on the first data, including: calculating the peak flow of the debris flow by using the morphological investigation method based on the first data through the first calculation formula or calculating the peak flow of the debris flow by using the rainstorm-flood method based on the first data through the second calculation formula. Among them, the first calculation formula is:

[0077] Q c =W c V c ;

[0078] The second calculation formula is:

[0079]

[0080] Among them, Q c is the peak flow of the debris flow, m 3 / s; W c is the cross-sectional area of the debris flow, m 2 ; V c is the average cross-sectional velocity of the debris flow, m / s; is the sediment correction coefficient of the debris flow, which can be determined by looking up the table according to the specification [1] ; Q P is the design flow of the rainstorm flood with a frequency of P (the debris flow has the same frequency and occurs synchronously with the rainstorm), m 3 / s; D c is the blockage coefficient of the debris flow, generally taking values from 1.0 to 3.0. When the debris flow channel is blocked particularly severely, it can take values from 3.1 to 5.0.

[0081] In the embodiments of the present application, basic data such as water and sediment, terrain, etc. required for river simulation, and data required for debris flow process generalization are collected. The peak flow Q c of the debris flow is calculated by using the above calculation formula, and the duration T of the debris flow is determined.

[0082] In some embodiments, step S210 further includes: calculating the sediment concentration of the inflowing water by using the third calculation formula based on the target generalization process. Among them, the third calculation formula is:

[0083]

[0084] Among them, S d is the sediment concentration of the water flow of the debris flow flowing into the river, kg / m 3 ; γ d is the unit weight of the debris flow fluid, kg / m 3 , which can be determined according to the specification [1] ; γ s is the unit weight of the solid, which can be taken as 2650 kg / m 3 ; γ w is the unit weight of water, which can be taken as 1000 kg / m 3 . S d is the sediment concentration of the water flow of the debris flow flowing into the river.

[0085] It should be noted that in the embodiment of the present application, in order to evaluate the long-term impact of the debris flow on the river, a long series of erosion and deposition simulation calculations of the river are carried out. The peak flow of the debris flow is converted into an annual average value according to the outbreak frequency, and the generalized process of the debris flow flow is superimposed on the boundary conditions of a certain period (which can be determined according to the local debris flow outbreak historical data) during the flood season of each year for simulation calculation. In order to analyze the short-term response of the sediment concentration and riverbed elevation of the river before and after the debris flow outbreak, extreme condition simulation calculations are carried out. Considering the short time of a debris flow process and the lagging evolution impact of the debris flow in the river, the extreme condition simulation can be calculated for 7-10 days, and the generalized process of the debris flow flow can be superimposed on the boundary conditions of a certain period on the second day for simulation calculation.

[0086] The present application also provides an implementation manner for evaluating the influence example of the debris flow on the erosion and deposition evolution of the river. Exemplarily, taking a mountainous river section as an example, 50-year return period debris flows break out in 4 debris flow gullies in the evaluation river section. In order to study the short-term response of the sediment concentration and riverbed elevation of the river section. The specific implementation steps include:

[0087] Step S1: Collect the topographic data of the simulated river section, the water and sediment data at the model inlet, the data required for the generalization of the debris flow process on both banks, etc., to obtain the water and sediment boundary conditions for the confluence of 4 debris flow gullies. Since there is no debris flow process data in this area, the duration of a debris flow process is taken as T = 2 hours. As Figure 7 and Figure 8 shown, determine debris flows 1#-4# respectively. The peak flows of the debris flows are calculated by the rainstorm-flood method to be 44 m 3 / s, 119 m 3 / s, 69 m 3 / s and 91 m 3 / s respectively. The sediment concentrations of the water flows of debris flows 1#-4# flowing into the river are calculated to be 34.10 kg / m 3 , 34.07 kg / m 3 , 34.11 kg / m 3and 34.06 kg / m 3 。Thus, according to Figure 1 the generalized flow processes of 4 debris flow gullies can be obtained and used as the boundary conditions for the confluence of the debris flow gullies.

[0088] Step S2: Divide the pre-established model into model grids, and set the confluence cross-sections at the outlets of the 4 debris flow gullies of the confluent river, which can be specifically determined according to the previous survey situation.

[0089] Step S3: Use a river simulation solver to perform simulation calculations to obtain the data change conditions of each node of the model grid.

[0090] Step S4: Then set the corresponding color gamut depth conditions for the obtained data for calibration, and further evaluate the changes in the sediment concentration and riverbed elevation of the river section before and after the debris flow outbreak, so as to realize the research on the changes in the sediment concentration and riverbed elevation of the river section.

[0091] From Figure 7 it can be seen that after the debris flow outbreak, the sediment concentration of the river flow near the gully mouth increases significantly, and directly causes the change of the sediment concentration of the downstream river flow. From Figure 8 it can be seen that after the debris flow outbreak, obvious siltation occurs in the river section near the gully mouth. After the debris flow outbreak, the increase in the sediment concentration of the river flow near the gully mouth and the rise of the riverbed elevation will both have an impact on the erosion and deposition evolution of the river. In addition, the implementation steps of the numerical simulation of the long-term impact of the debris flow on the river are similar to the above short-term impact assessment, and the present application will not elaborate on it.

[0092] Please refer to Figure 5 , Figure 5 which is the structural block diagram of a device for evaluating the impact of debris flow on the erosion and deposition evolution of a river provided by the present application. The device 500 for evaluating the impact of debris flow on the erosion and deposition evolution of a river includes: an acquisition module 510, a confirmation module 520, a limitation module 530, and a prediction module 540, where:

[0093] The acquisition module 510 is used to acquire the first data required for the modeling river section and the second data required for the generalization of the debris flow process.

[0094] The confirmation module 520 is used to determine the water and sediment boundary conditions for the confluence of the debris flow based on the first data and the second data.

[0095] The limitation module 530 is used to limit the initial parameters of the pre-established prediction model based on the water and sediment boundary conditions.

[0096] The prediction module 540 is used to predict the changes in the sediment concentration and riverbed elevation of the river section in the target time period before and after the debris flow outbreak based on the pre-established prediction model.

[0097] It should be noted that the device embodiments in this application correspond to the foregoing method embodiments. For the specific principles in the device embodiments, reference may be made to the content in the foregoing method embodiments, which will not be elaborated here.

[0098] In several embodiments provided in this embodiment, the coupling between modules may be electrical, mechanical, or other forms of coupling.

[0099] In addition, in each embodiment of the present invention, each functional module may be integrated in a processing module, or each module may exist physically alone, or two or more modules may be integrated in one module. The above integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0100] Please refer to Figure 9 , Figure 9 FIG. is a structural block diagram of an electronic device 200 that can execute the method for evaluating the influence of debris flow on the erosion and deposition evolution of a river provided in the embodiments of this application. The electronic device 200 may be a smart phone, a tablet computer, a computer, a portable computer, or other devices.

[0101] The electronic device 200 further includes a processor 202 and a memory 204. Among them, the memory 204 stores a program that can execute the content in the foregoing embodiments, and the processor 202 can execute the program stored in the memory 204.

[0102] Among them, the processor 202 may include one or more cores for processing data and a message matrix unit. The processor 202 connects various parts within the entire electronic device 200 through various interfaces and circuits. By running or executing instructions, programs, code sets, or instruction sets stored in the memory 204, and by invoking the data stored in the memory 204, it performs various functions of the electronic device 200 and processes data. Optionally, the processor 202 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 202 may integrate a combination of one or several of a central processing unit (CPU), a graphics processing unit (GPU), and a modem decoder, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the displayed content; the modem is used to process wireless communication. It can be understood that the above-mentioned modem decoder may not be integrated into the processor and may be implemented separately through a communication chip.

[0103] The memory 204 may include a random access memory (RAM) and may also include a read-only memory. The memory 204 can be used to store instructions, programs, code, code sets, or instruction sets. The memory 204 may include a program storage area and a data storage area. The program storage area may store instructions for implementing the operating system, instructions for implementing at least one function (such as instructions for the user to obtain a random number), instructions for implementing the following various method embodiments, etc. The data storage area may also store data created during the use of the terminal (such as random numbers), etc.

[0104] The electronic device 200 may further include a network module and a screen. The network module is used to receive and send electromagnetic waves, realize the mutual conversion between electromagnetic waves and electrical signals, so as to communicate with a communication network or other devices, such as communicating with an audio playback device. The network module may include various existing circuit elements for performing these functions, such as antennas, radio frequency transceivers, digital signal processors, encryption / decryption chips, subscriber identity module (SIM) cards, memories, and so on. The network module can communicate with various networks such as the Internet, enterprise intranets, wireless networks or communicate with other devices through a wireless network. The above-mentioned wireless network may include a cellular phone network, a wireless local area network or a metropolitan area network. The screen can display interface content and perform data interaction.

[0105] Please refer to Figure 10 , Figure 10 FIG. shows a structural block diagram of a computer-readable storage medium provided by an embodiment of the present application. Program code 610 is stored in the computer-readable storage medium 600, and the program code 610 can be called by a processor to execute the method described in the above method embodiment.

[0106] The computer-readable storage medium 600 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM, a hard disk or a ROM. Optionally, the computer-readable storage medium includes a non-transitory computer-readable storage medium. The computer-readable storage medium 600 has a storage space for the program code 610 that executes any method step in the above method. These program codes 610 can be read out from or written into one or more computer program products. The program code 610 can be compressed in an appropriate form, for example.

[0107] The embodiment of the present application also provides a computer program product or a computer program. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in the computer-readable storage medium 600. The processor of the computer device reads the computer instructions from the computer-readable storage medium 600, and the processor 202 executes the computer instructions, so that the computer device executes the method for evaluating the impact of debris flow on the erosion and deposition evolution of rivers described in the above various optional implementation manners.

[0108] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements 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 application.

Claims

1. A method for evaluating the impact of debris flow on the erosion and deposition evolution of a river, characterized in that, the method comprises: obtaining the first data required for the modeling reach and the second data required for the generalization of the debris flow process; determining the sediment-water boundary conditions for the confluence of the debris flow based on the first data and the second data; limiting the initial parameters of a pre-established prediction model based on the sediment-water boundary conditions; predicting the changes in sediment concentration and riverbed elevation in the reach during the target time period before and after the debris flow outbreak based on the pre-established prediction model; the determining the sediment-water boundary conditions for the confluence of the debris flow based on the first data and the second data includes: confirming the peak flow and duration of the debris flow based on the first data or the second data; confirming the generalization model of the debris flow process based on the second data; confirming the target generalization process of the debris flow based on the peak flow, duration and generalization model; confirming the sediment-water boundary conditions based on the target generalization process; the method further comprises: establishing a prediction model, including: establishing a reach model based on the first data and the generalization model; dividing the reach model into model grids corresponding to the calculation range and determining the confluence section corresponding to the debris flow gully mouth on the model grids to establish a prediction model; the confirming the peak flow and duration of the debris flow based on the first data or the second data includes: determining whether there is debris flow process data in the second data; when it is determined that there is debris flow process data in the second data, confirming the peak flow and duration of the debris flow based on the debris flow process data; when it is determined that there is no debris flow process data in the second data, confirming the peak flow and duration of the debris flow based on the first data.

2. The method according to claim 1, characterized in that, the predicting the changes in sediment concentration and riverbed elevation in the reach during the target time period before and after the debris flow outbreak based on the pre-established prediction model includes: calculating the initial values of each node in the model grids in the prediction model before the debris flow outbreak and the end values during the target time period after the debris flow outbreak based on a river simulation solver; confirming the changes in sediment concentration and riverbed elevation in the reach based on the initial values and the end values.

3. The method according to claim 1, characterized in that, the confirming the peak flow and duration of the debris flow based on the first data includes: calculating the peak flow of the debris flow by using the morphological investigation method through a first calculation formula based on the first data or calculating the peak flow of the debris flow by using the storm flood method through a second calculation formula based on the first data, wherein the first calculation formula is: ; The second calculation formula is: ; Among them, is the peak flow of debris flow; is the cross-sectional area of debris flow; is the average cross-sectional velocity of debris flow; is the sediment correction coefficient of debris flow, is the design flow of rainstorm flood with a frequency of P, is the blockage coefficient of debris flow.

4. The method according to claim 1, characterized in that, the confirming the sediment-water boundary conditions based on the target generalization process includes: calculating the sediment concentration of the inflowing water based on the target generalization process by using a third calculation formula, wherein the third calculation formula is: ; Among them, is the sediment concentration of the water flow when the debris flow converges into the river, is the unit weight of the debris flow fluid, is the unit weight of the solid, is the unit weight of water.

5. An apparatus for evaluating the impact of debris flow on the erosion and deposition evolution of a river, characterized in that, the apparatus comprises: an obtaining module, configured to obtain the first data required for the modeling reach and the second data required for the generalization of the debris flow process; A determination module, configured to determine the water-sediment boundary conditions of debris flow confluence based on the first data and the second data; A limitation module, configured to limit the initial parameters of a pre-established prediction model based on the water-sediment boundary conditions; A prediction module, configured to predict the changes in sediment concentration and riverbed elevation in a target time period before and after debris flow outbreak based on the pre-established prediction model; The determination module is configured to: Confirm the peak flow and duration of debris flow based on the first data or the second data; Confirm the generalized model of the debris flow process based on the second data; Confirm the target generalized process of debris flow based on the peak flow, duration and generalized model; Confirm the water-sediment boundary conditions based on the target generalized process; The device is further configured to establish a prediction model, including: Establish a river reach model based on the first data and the generalized model; Divide the river reach model into model grids corresponding to the calculation range, and determine the confluence section corresponding to the debris flow gully mouth on the model grids, so as to establish a prediction model; The determination module is further configured to: Determine whether there is debris flow process data in the second data; When it is determined that there is debris flow process data in the second data, confirm the peak flow and duration of debris flow based on the debris flow process data; When it is determined that there is no debris flow process data in the second data, confirm the peak flow and duration of debris flow based on the first data.

6. An electronic device, characterized in that, it includes: One or more processors; A memory; One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute the method for evaluating the impact of debris flow on river erosion and deposition evolution according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, the computer-readable storage medium stores program codes, and the program codes can be called by one or more processors to execute the method for evaluating the impact of debris flow on river erosion and deposition evolution according to any one of claims 1-4.

Citation Information

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