Method and apparatus for simulating the rapid transport of sediment due to dam discharge.

Abstract

The present invention provides a method and apparatus for simulating rapid sediment transport due to dam release. The method for simulating rapid sediment transport due to dam release includes the steps of: acquiring a dam discharge and a downstream water level; determining a superdiffusion coefficient of a one-dimensional spatial fractional-order advection-diffusion equation based on the discharge, the downstream water level, and a pre-established superdiffusion coefficient library, where the one-dimensional spatial fractional-order advection-diffusion equation includes a spatial fractional derivative diffusion term; and constructing a rapid sediment transport path after dam release based on the superdiffusion coefficient and the one-dimensional spatial fractional-order advection-diffusion equation, where the rapid transport path is intended to represent the rapid sediment transport process after dam release. According to the present invention, by simulating the sediment diffusion phenomenon using the spatial fractional derivative diffusion term, the rapid sediment transport process during dam release can be accurately described.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of computers, and more particularly, to a method and apparatus for simulating the rapid transportation of sediment by dam discharge.

Background Art

[0002] When a dam discharges water, the hydraulic elements change dramatically over time, resulting in a rapid flood wave. The turbulent fluctuations of the water body caused by the rapid flood wave occur suddenly, greatly affecting the movement state of the particles in the water body, and usually showing a rapid transportation phenomenon. At present, most of the dam groups improve the overall sediment discharge level through joint scheduling, thereby extending the life of the dam. Whether the sediment transport process is accurately simulated is very important for the joint scheduling of dam groups.

[0003] In the prior art, the water flow and sedimentation process of a dam is usually simulated using a one-dimensional advection-diffusion equation. This model cannot describe the rapid sediment transport process caused by the sudden occurrence of turbulent fluctuations, which is disadvantageous for the joint scheduling of dam sediment.

Summary of the Invention

Problems to be Solved by the Invention

[0004] In order to accurately simulate the rapid sediment transport process of a dam, the present invention proposes a method and apparatus for simulating the rapid sediment transport by dam discharge.

Means for Solving the Problems

[0005] In a first aspect, the present invention provides A method for simulating the rapid transportation of sediment by dam discharge, comprising Obtaining the discharge flow rate of the dam and the downstream water level; A step of determining the superdiffusion coefficient of a one-dimensional spatial fractional order advection-diffusion equation based on discharge flow rate, downstream water level, and a pre-established superdiffusion coefficient library, wherein the one-dimensional spatial fractional order advection-diffusion equation includes a spatial fractional order derivative diffusion term, The present invention provides a method comprising the steps of constructing a rapid transport route for sediment after dam discharge based on a superdiffusion coefficient and a one-dimensional spatial fractional order advection-diffusion equation, wherein the rapid transport route is intended to represent the rapid transport process of sediment after dam discharge.

[0006] By utilizing the memory and inheritance properties of spatial fractional derivative diffusion terms, the above method describes the hyperdiffusion phenomenon of sediment movement that changes with time and space, simulates the sediment concentration and the time it takes for the sand peak to reach a predetermined location at different positions during dam discharge, accurately describes the rapid transport process of sediment during dam discharge, provides a basis for scheduling dam sediment, and reduces the complexity of simulation calculations by adopting a one-dimensional advection-diffusion equation, thereby improving simulation efficiency.

[0007] Combining the first embodiment, in the first embodiment of the first embodiment, the superdiffusion coefficient library is established based on the historical discharge flow rate and historical downstream water level at each operating condition, as well as the one-dimensional spatial fractional order advection-diffusion equation. The steps include obtaining the historical discharge flow rate and historical downstream water level under each operating condition, The steps include: deriving the hyperdiffusion coefficient for each operating condition based on the hierarchical discharge flow rate and hierarchical downstream water level for each operating condition, and the one-dimensional spatial fractional order advection-diffusion equation; The process includes the step of establishing a superdiffusion coefficient library based on the superdiffusion coefficients under various operating conditions.

[0008] By combining the first embodiment or the first embodiment of the first embodiment, in the second embodiment of the first embodiment, Based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation, the step of constructing a rapid transport route for sediment after dam discharge is: The steps include determining the sediment concentration at a given location at different time points after dam discharge, based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation, This includes the step of constructing a rapid transport route for sediment after dam discharge, based on sediment concentration.

[0009] Combining the first embodiment, in the third embodiment of the first embodiment, the one-dimensional spatial fractional order advection-diffusion equation is as follows:

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[0010] By combining the third embodiment of the first embodiment, in the fourth embodiment of the first embodiment, the spatial fractional derivative diffusion term is as follows:

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[0011] In a second aspect, the present invention is a device for simulating the rapid transport of sediment due to dam discharge, An acquisition module for obtaining the dam's discharge volume and downstream water level, A determination module for determining the superdiffusion coefficient of a one-dimensional spatial fractional order advection-diffusion equation based on discharge flow rate, downstream water level, and a pre-established superdiffusion coefficient library, wherein the one-dimensional spatial fractional order advection-diffusion equation includes a spatial fractional order derivative diffusion term. The present invention provides a construction module for constructing a rapid transport route for sediment after dam discharge, based on a superdiffusion coefficient and a one-dimensional spatial fractional order advection-diffusion equation, wherein the rapid transport route represents the rapid transport process of sediment after dam discharge, and further provides an apparatus including the construction module.

[0012] The above-described apparatus utilizes the memory and inheritance properties of spatial fractional derivative diffusion terms to describe the hyperdiffusion phenomenon of sediment movement that changes with time and space, simulates sediment concentration at different locations during dam discharge and the time it takes for the sand peak to reach a predetermined location, accurately describes the rapid transport process of sediment during dam discharge, provides a basis for scheduling dam sediment, and reduces the complexity of simulation calculations by adopting a one-dimensional advection-diffusion equation, thereby increasing simulation efficiency.

[0013] Combining the second embodiment, in the first embodiment of the second embodiment, the superdiffusion coefficient library of the determination module is established based on the historical discharge flow rate and historical downstream water level at each operating condition, as well as the one-dimensional spatial fractional order advection-diffusion equation. An acquisition submodule for obtaining historical discharge flow rate and historical downstream water level under each operating condition, A derivation submodule for deriving the superdiffusion coefficient for each operating condition, based on the historical discharge flow rate and historical downstream water level under each operating condition, as well as the one-dimensional spatial fractional order of advection-diffusion equation, Includes an establishment submodule for establishing a superdiffusion coefficient library based on the superdiffusion coefficient under each operating condition.

[0014] In the second embodiment of the second embodiment, by combining the second embodiment or the first embodiment of the second embodiment, the construction module is: A determination submodule for determining sediment concentration at a given location at different time points after dam discharge, based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation, It includes a construction submodule for constructing a rapid transport route for sediment after dam discharge, based on sediment concentration.

[0015] In a third aspect, the present invention further provides a computer device including a memory and a processor, where the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the steps of a method for simulating rapid sediment transport by dam release in the first aspect or any embodiment of the first aspect.

[0016] In a fourth aspect, the present invention further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, realizes the steps of a method for simulating rapid sediment transport by dam release in the first aspect or any embodiment of the first aspect.

Brief Description of the Drawings

[0017] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly describes the drawings that need to be used in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without creative efforts. [Figure 1] It is a flowchart of a method for simulating rapid sediment transport by dam release proposed based on one exemplary embodiment. [Figure 2] In one example, it is a diagram comparing the simulation results of the method for simulating rapid sediment transport by dam release proposed in the embodiments of the present invention with the simulation results of the simulation method without a superdiffusion term. [Figure 3] It is a structural schematic diagram of an apparatus for simulating rapid sediment transport by dam release proposed based on one exemplary embodiment. [Figure 4] It is a schematic diagram of the hardware configuration of a computer device proposed based on one exemplary embodiment. [Modes for carrying out the invention]

[0018] The technical solutions of the present invention will be described clearly and completely below with reference to the drawings.

[0019] The technical features of each embodiment of the present invention described below may be combined with each other, as long as they do not contradict each other.

[0020] In nature, many diffusion phenomena exist, such as the movement of pollutants in soil, groundwater permeation, and turbulence. These diffusion phenomena do not satisfy the classical Fick law of gradient diffusion and are called "anomalous" diffusion. Anomalous diffusion processes are essentially processes with temporal memory and spatial nonlocality, and because the definition of the integer derivative limit is local, the integer-order diffusion equation cannot accurately describe this type of anomalous diffusion process. It has been proven that spatial fractional derivatives can accurately describe physical processes with memory, inheritance, and path-dependent properties.

[0021] To accurately simulate the rapid transport process of sediment in dams, the present invention proposes a method, apparatus, computer equipment, and medium for simulating the rapid transport of sediment due to dam discharge.

[0022] Figure 1 is a flowchart of a method for simulating the rapid transport of sediment by dam discharge, based on one exemplary embodiment. As shown in Figure 1, the method includes the following steps S101 to S103.

[0023] Step S101: Obtain the dam's discharge volume and downstream water level.

[0024] Specifically, the discharge volume includes the discharge velocity and sediment content upstream of the dam.

[0025] Step S102: Based on the discharge flow rate, downstream water level, and a pre-established library of superdiffusion coefficients, the superdiffusion coefficients of the one-dimensional spatial fractional order advection-diffusion equation are determined, and the one-dimensional spatial fractional order advection-diffusion equation includes a spatial fractional order derivative diffusion term.

[0026] Specifically, when the dam's discharge rate and the downstream water level differ, the hyperdiffusion coefficients of the corresponding one-dimensional spatial fractional order advection-diffusion equations will also differ. The hyperdiffusion coefficient library consists of hyperdiffusion coefficients corresponding to different discharge rates and downstream water levels. Depending on the current dam discharge rate and downstream water level conditions, identical or similar hyperdiffusion coefficients can be found in the hyperdiffusion coefficient library.

[0027] Step S103: Based on the hyperdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation, a rapid transport route for sediment after dam discharge is constructed, and this rapid transport route represents the rapid transport process of sediment after dam discharge.

[0028] For example, the finite difference method can be used to solve the fractional-order advection-diffusion equation in one-dimensional space and simulate the rapid transport process of sediment under these conditions.

[0029] In rapid transport routes, sediment moves rapidly due to the sudden flood waves after dam discharge. The sediment movement process after dam discharge is a hyperdiffusion phenomenon, and classical one-dimensional advection-diffusion equations cannot accurately describe this hyperdiffusion phenomenon, that is, they cannot accurately describe the rapid transport process of sediment. According to the method provided in the embodiment of the present invention, by utilizing the memory and inheritance properties of spatial fractional derivative diffusion terms, the hyperdiffusion phenomenon of sediment movement that changes with time and space can be described, and by simulating the sediment concentration at different locations during dam discharge and the time it takes for the sand peak to reach a predetermined location, the rapid transport process of sediment during dam discharge can be accurately described, providing a basis for scheduling dam sediment, and by adopting one-dimensional advection-diffusion equations, the complexity of the simulation calculation can be reduced and the simulation efficiency can be increased.

[0030] In one example, in step S102 above, the superdiffusion coefficient library is established based on the historical discharge flow rate and historical downstream water level under each operating condition, as well as the one-dimensional spatial fractional order advection-diffusion equation, and specifically includes the following steps.

[0031] First, acquire the historical discharge flow rate and historical downstream water level under each operating condition. Next, based on the historical discharge flow rate and historical downstream water level under each operating condition, as well as the one-dimensional spatial fractional order of advection-diffusion equation, we derive the superdiffusion coefficient under each operating condition. Finally, a library of superdiffusion coefficients is established based on the superdiffusion coefficients under each operating condition.

[0032] In one example, the step of constructing a rapid transport route for sediment after dam discharge in step S103 described above is as follows:

[0033] First, the sediment concentration at a given location at different time points after dam discharge is determined based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation.

[0034] Specifically, the designated location can be set as needed, and may be a cross-section near the downstream dam, or any point of interest from the upstream to the middle of the downstream section of the dam.

[0035] Next, based on the sediment concentration, a rapid transport route for sediment after dam discharge will be constructed.

[0036] Specifically, by obtaining sediment concentrations at predetermined locations at different times, it is possible to obtain the change in sediment concentration from upstream to downstream of the dam during dam discharge, that is, the rapid transport process of sediment during dam discharge.

[0037] For example, the fractional order advection-diffusion equation in one-dimensional space can be expressed as follows:

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[0038] In one possible embodiment, the spatial fractional derivative diffusion term is as follows:

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[0039] In one example, a dam area without operating conditions such as lateral sand-containing flow and riverbank collapse is selected, and multiple monitoring stations are installed near the upstream dam at the tail end of the dam. These stations monitor the discharge flow rate and sand content data of the upstream dam in real time and collect relevant historical data.

[0040] Given the short sediment scheduling time and the relatively balanced state of dam erosion and deposition, the net exchange between suspended and bedloaded sediment is ignored, and factors such as lateral sand-containing flows and riverbank collapse are not considered. A one-dimensional model of sediment transport under the corresponding discharge operating conditions is constructed. The control equations are as follows:

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[0041] Figure 2 compares the simulation results of a method for simulating the rapid transport of sediment due to dam discharge proposed in an embodiment of the present invention with those obtained using a simulation method without a hyperdiffusion term. At the initial time of dam discharge, the sediment exhibits a rapidly transporting motion; that is, the sediment concentration changes rapidly at the initial time of dam discharge. As shown in Figure 2, by employing the simulation method proposed in an embodiment of the present invention, the rapid sediment transport process near the initial time of discharge from the upstream dam can be accurately grasped. The sediment concentration changes quickly, meaning that a small amount of sediment reaches a predetermined position downstream near the initial time. However, in the simulation results obtained using a diffusion model without a hyperdiffusion term, the sediment concentration is zero near the initial time. However, in the actual process, a small amount of sediment exists near the initial time of dam discharge. Therefore, the diffusion model without a hyperdiffusion term could not describe the rapid transport of sediment at the initial time. On the other hand, the width of the sand peak simulated using this method is wider than the width of the sand peak simulated using a diffusion model without a superdiffusion term, and the width of the sand peak represents the duration of sediment concentrations higher than a preset sediment concentration. When scheduling sediment in downstream dams, the duration of sediment scheduling is usually determined by the width of the sand peak of the sediment; that is, the duration of sediment scheduling corresponds to this sand peak process. Therefore, when performing sediment scheduling for sand peaks simulated based on embodiments of the present invention, the scheduling time becomes relatively long, and the sediment is discharged as completely as possible.

[0042] Based on the same inventive concept, embodiments of the present invention further provide a device for simulating the rapid transport of sediment by dam discharge, which, as shown in Figure 3, includes an acquisition module 301, a determination module 302, and a construction module 303.

[0043] The acquisition module 301 is for acquiring the dam's discharge flow rate and the downstream water level. For details, please refer to the description of step S101 in the above embodiment, as it will not be repeated here.

[0044] The determination module 302 is for determining the superdiffusion coefficients of the one-dimensional spatial fractional order advection-diffusion equation based on the discharge flow rate, downstream water level, and a pre-established superdiffusion coefficient library, the one-dimensional spatial fractional order advection-diffusion equation including a spatial fractional order derivative diffusion term. For details, please refer to the description of step S102 in the above embodiment, which will not be repeated here.

[0045] The construction module 303 is for constructing a rapid transport channel for sediment after dam discharge, based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation. The rapid transport channel represents the rapid transport process of sediment after dam discharge. For details, please refer to the description of step S103 in the above embodiment, which will not be repeated here.

[0046] In one example, the ultradiffusion coefficient library of the determination module 302 is established based on the historical discharge flow rate and historical downstream water level at each operating condition, as well as the one-dimensional spatial fractional order advection-diffusion equation, and the determination module 302 includes an acquisition submodule, a derivation submodule, and an establishment submodule.

[0047] The acquisition submodule is for acquiring historical discharge flow rates and historical downstream water levels under each operating condition. For details, please refer to the description of the embodiment above, as it will not be repeated here.

[0048] The acquisition submodule is used to derive the hyperdiffusion coefficient for each operating condition based on the historical discharge flow rate and historical downstream water level for each operating condition, as well as the one-dimensional spatial fractional order advection-diffusion equation. For details, please refer to the description of the embodiment above, as it will not be repeated here.

[0049] The establishment submodule is for establishing a superdiffusion coefficient library based on the superdiffusion coefficients under each operating condition. Details should be referred to in the description of the above examples and will not be repeated here.

[0050] In one example, the construction module 303 includes a decision submodule and a construction submodule.

[0051] The determination submodule is for determining the sediment concentration at a given location at different time points after dam discharge, based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation. For details, please refer to the description of the embodiment above, as it will not be repeated here.

[0052] The construction submodule is designed to construct a rapid transport route for sediment after dam discharge, based on sediment concentration. For details, please refer to the description of the above example; a repetition of this description will not be provided here.

[0053] For example, the fractional advection-diffusion equation in one-dimensional space for the device is as follows:

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[0054] In a further example, the spatial fractional derivative diffusion term of the device is as follows:

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[0055] The specific limitations and beneficial effects of the above-described apparatus will not be repeated here, as they can be seen in reference to the limitations of the method for simulating the rapid transport of sediment by dam discharge described above. Each of the above modules can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules may be built into the processor of the computer equipment in hardware form, or independently thereof, or may be stored in the memory of the computer equipment in software form so that the processor can easily call and execute the operations corresponding to each of the above modules.

[0056] Figure 4 is a schematic diagram of the hardware configuration of a computer device proposed based on one exemplary embodiment. As shown in Figure 4, the device includes one or more processors 410 and memory 420 including persistent memory, volatile memory, and a hard disk, with one processor 410 being illustrated in Figure 4. The device may further include an input device 430 and an output device 440.

[0057] The processor 410, memory 420, input device 430, and output device 440 may be connected by a bus or other means, and Figure 4 illustrates a connection via a bus.

[0058] The processor 410 may be a Central Processing Unit (CPU). The processor 410 may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips. The general-purpose processor may be a microprocessor, or this general-purpose processor may be any conventional processor.

[0059] Memory 420 can be used as a non-temporary computer-readable storage medium, including persistent memory, volatile memory, and hard disk, to store non-temporary software programs, non-temporary computer-executable programs and modules, such as program instructions / modules corresponding to the method for simulating the rapid transport of sediment during dam discharge in the embodiment of the present application. The processor 410 executes various functional applications and data processing of the server by executing the non-temporary software programs, instructions and modules stored in memory 420, that is, to realize any of the methods for simulating the rapid transport of sediment due to dam discharge described above.

[0060] The memory 420 may include an operating system, a program storage area capable of storing application programs required for at least one function, and a data storage area capable of storing data used as needed. Furthermore, the memory 420 may include high-speed random-access memory and non-temporary memory such as at least one magnetic disk memory device, flash memory device, or other non-temporary solid-state memory device. In some embodiments, the memory 420 optionally includes memory located remotely from a processor 410 that can be connected to a data processing device via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0061] The input device 430 can receive input numerical or character information and generate signal inputs related to user settings and function control. The output device 440 may include a display device such as a display.

[0062] One or more modules are stored in memory 420 and, when executed by one or more processors 410, perform the method shown in Figure 1.

[0063] The above-described product can perform the method according to the embodiment of the present invention and has a functional module and beneficial effects corresponding to the method of execution. For technical details not described in detail in this embodiment, refer specifically to the relevant description in the embodiment shown in Figure 1.

[0064] Embodiments of the present invention further provide a non-temporary computer storage medium that stores computer-executable instructions capable of performing the simulation method in any of the above-described embodiment of the method. Here, the storage medium may be a magnetic disk, an optical disk, read-only memory (ROM), random access memory (RAM), flash memory, a hard disk drive (HDD), or a solid-state drive (SSD), and the storage medium may further include combinations of the above types of memory.

Claims

1. A method for simulating the rapid transport of sediment due to dam discharge, applicable to a device for simulating the rapid transport of sediment due to dam discharge, the device being implemented by computer equipment including a processor and memory, the memory storing computer instructions, and the processor executing the computer instructions to perform the following method steps: Steps include obtaining the dam's discharge volume and the downstream water level, A step of determining the superdiffusion coefficient of a one-dimensional spatial fractional order advection-diffusion equation based on the discharge flow rate, the downstream water level, and a pre-established superdiffusion coefficient library, wherein the one-dimensional spatial fractional order advection-diffusion equation includes a spatial fractional order derivative diffusion term. A method comprising the step of constructing a rapid transport route for sediment after dam discharge based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation, wherein the rapid transport route is for representing the rapid transport process of sediment after dam discharge.

2. The aforementioned ultradiffusion coefficient library is established based on the historical discharge flow rate and historical downstream water level under each operating condition, as well as the one-dimensional spatial fractional order advection-diffusion equation. The steps include obtaining the historical discharge flow rate and historical downstream water level under each operating condition, The steps include: deriving the superdiffusion coefficient for each operating condition based on the historical discharge flow rate and historical downstream water level for each operating condition, and the one-dimensional spatial fractional order advection-diffusion equation; The method according to claim 1, comprising the step of establishing a superdiffusion coefficient library based on the superdiffusion coefficients under each operating condition.

3. The step of constructing a rapid transport route for sediment after dam discharge, based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation, The steps include determining the sediment concentration at a predetermined location at different time points after dam discharge, based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation, The method according to claim 1 or 2, characterized by comprising the step of constructing a rapid transport route for sediment after dam discharge based on the sediment concentration.

4. The one-dimensional spatial fractional order advection-diffusion equation is as follows: [Math 1] Here, u is the average flow velocity across the cross-section, C is the sediment concentration in the water body, t is time, x is the position along the direction of water flow, D is the superdiffusion coefficient, v is the amount of lateral sediment inflow per unit time, and w is the net exchange between suspended sediment and bedload sediment. [Math 2] The method according to claim 1, characterized in that is the spatial fractional derivative diffusion term, α is the order of the spatial fractional derivative, b is the position of the discharge dam, and RL represents the Riemann-Liouville integral.

5. The spatial fractional derivative diffusion term is as follows: [Math 3] The method according to claim 4, characterized in that, here, b is the position of the discharge dam, x is the position along the direction of water flow, α is the order of the fractional order, t is time, and RL represents the Riemann-Liouville integral.

6. This device simulates the rapid transport of sediment due to dam discharge. An acquisition module for obtaining the dam's discharge volume and downstream water level, A determination module for determining the superdiffusion coefficient of a one-dimensional spatial fractional order advection-diffusion equation based on the discharge flow rate, the downstream water level, and a pre-established superdiffusion coefficient library, wherein the one-dimensional spatial fractional order advection-diffusion equation includes a spatial fractional order derivative diffusion term, and the determination module comprises: An apparatus comprising a construction module for constructing a rapid transport route for sediment after dam discharge, based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation, wherein the rapid transport route is a construction module for representing the rapid transport process of sediment after dam discharge.

7. The ultradiffusion coefficient library of the determination module is established based on the historical discharge flow rate and historical downstream water level under each operating condition, as well as the one-dimensional spatial fractional order advection-diffusion equation. An acquisition submodule for obtaining historical discharge flow rate and historical downstream water level under each operating condition, A derivation submodule for deriving the superdiffusion coefficient for each operating condition, based on the historical discharge flow rate and historical downstream water level under each operating condition, and the one-dimensional spatial fractional order advection-diffusion equation, The apparatus according to claim 6, further comprising an establishment submodule for establishing the superdiffusion coefficient library based on the superdiffusion coefficient under each operating condition.

8. The aforementioned construction module is A determination submodule for determining the sediment concentration at a predetermined location at different time points after dam discharge, based on the superdiffusion coefficient and the one-dimensional spatial fractional order advection-diffusion equation, The apparatus according to claim 6 or 7, characterized by including a construction submodule for constructing a rapid transport route for sediment after dam discharge based on the sediment concentration.

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