Reservoir sediment deposition amount prediction method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention relates to the technical field of water conservancy projects, and discloses a reservoir sediment deposition amount prediction method and device, electronic equipment and a storage medium. Wherein the reservoir factors comprise sediment density, damming height in front of a dam, sediment settling velocity, reservoir capacity, reservoir entering flow, reservoir exiting flow, water surface gradient, sediment coming coefficient and reservoir entering sediment amount; and obtaining a predicted value of the reservoir sediment deposition amount according to a pre-established first corresponding relation between the reservoir factor and the reservoir sediment deposition amount and the given value of the reservoir factor. According to the method and the device, multiple reservoir factors are considered, so that the accuracy of predicting the sediment deposition amount of the reservoir is improved.

Description

Technical Field

[0001] The invention relates to the technical field of water conservancy engineering, and in particular to a method, a device, an electronic device and a storage medium for predicting the sediment deposition amount of a reservoir. Background Art

[0002] Reservoirs have multiple functions such as flood control, drought resistance, power generation, and irrigation, and play an important role in the development of human society. After the construction of a reservoir in a river, the water depth increases and the flow rate decreases, resulting in a decrease in the sediment carrying capacity of the water body. The suspended sediment and bedload in the water body are easily settled in the water body, causing siltation in the reservoir. my country has many silt-rich rivers, and the amount of sediment entering the reservoir is large, resulting in a large amount of siltation in the reservoir. Every year, a large amount of storage capacity is lost due to siltation, which affects the comprehensive benefits of the reservoir. At the same time, the siltation of the river channel in the reservoir area is likely to cause the elevation of the reservoir area to rise, increasing the flood control burden of the downstream river channel. Therefore, accurate prediction of the amount of siltation in the reservoir is an issue that must be considered in the construction and operation management of the reservoir.

[0003] In the prior art, there are many methods for calculating reservoir sedimentation, most of which are based on existing measured data, such as the cross-section method, sediment transport balance method, etc., which can only calculate the actual storage capacity changes and cannot predict the reservoir sedimentation. In addition, there are many factors affecting the reservoir sedimentation. The prediction method based on the reservoir water and sediment model is difficult to clarify the impact of various factors on the reservoir sedimentation. The calculation process is complicated, time-consuming, and inconvenient to apply. Summary of the invention

[0004] The object of the present invention is to provide a method, device, electronic equipment and storage medium for predicting reservoir sedimentation, so as to improve the accuracy of reservoir sedimentation prediction.

[0005] In a first aspect, the present application provides a method for predicting reservoir sedimentation, comprising:

[0006] Obtain given values ​​of reservoir factors, where reservoir factors include sediment density, water backwater height in front of the dam, sediment settling velocity, reservoir capacity, inflow, outflow, water surface gradient, sediment coefficient and inflow sediment volume;

[0007] According to the pre-established first corresponding relationship between the reservoir factor and the reservoir sedimentation amount and the given value of the reservoir factor, the predicted value of the reservoir sedimentation amount is obtained, wherein the first corresponding relationship is:

[0008]

[0009]

[0010] Where W is the sediment accumulation amount of the reservoir, ρ sis the sediment density, ΔH is the water backwater height in front of the dam, ω is the sediment settling velocity, V is the reservoir capacity, Q0 is the inflow, Q is the outflow, J is the water surface gradient, α is the sediment coefficient, W0 is the inflow sediment, S0 is the inflow sediment content, and T is the calculation time of the inflow sediment.

[0011] Optionally, the method further comprises:

[0012] collecting the reservoir factors;

[0013] A first corresponding relationship between the reservoir factor and the amount of silt deposited in the reservoir is established.

[0014] Optionally, obtaining the sediment coefficient in the reservoir factor includes:

[0015] Obtaining the suspended matter content of the water body at the reservoir inlet and the inlet flow;

[0016] The ratio between the suspended matter content of the water body and the inflow flow is calculated to obtain the sediment coefficient.

[0017] Optionally, obtaining the sediment settling velocity in the reservoir factor includes:

[0018] Obtaining sediment gradation data, sediment density and water temperature at a reservoir inlet;

[0019] According to the sediment gradation data, a median particle size is obtained;

[0020] Obtaining the kinematic viscosity of the water according to a second corresponding relationship between the water temperature and the kinematic viscosity of the water and the water temperature;

[0021] The sediment settling velocity is obtained according to the sediment density, the median particle size, the kinematic viscosity of the water, the density of the water, the gravitational acceleration and a third corresponding relationship, wherein the third corresponding relationship is a corresponding relationship between the sediment density, the median particle size, the kinematic viscosity of the water, the density of the water, the gravitational acceleration and the sediment settling velocity.

[0022] Optionally, the third correspondence relationship includes a first sub-correspondence relationship;

[0023] When the median particle size is within a first threshold range, the sediment settling velocity is obtained according to the sediment density, the median particle size, the kinematic viscosity of the water, the density of the water, the gravitational acceleration, and the first sub-corresponding relationship.

[0024] Optionally, the first sub-correspondence relationship is:

[0025]

[0026] Where, ω is the sediment settling velocity, ρ s is the density of the sediment, ρ is the density of the water, g is the gravitational acceleration, d is the median particle size, and ν is the kinematic viscosity of the water.

[0027] Optionally, the third correspondence relationship also includes a second sub-correspondence relationship;

[0028] When the median particle size is within a second threshold range, the sediment settling velocity is obtained according to the sediment density, the median particle size, the kinematic viscosity of the water, the density of the water, the gravitational acceleration and the second sub-correspondence relationship.

[0029] Optionally, the second sub-correspondence relationship is:

[0030]

[0031]

[0032] Among them, S a To judge the sinking speed, It is the particle size determination number.

[0033] In a second aspect, the present application also provides a reservoir sedimentation prediction device, comprising:

[0034] The acquisition module is used to obtain the given values ​​of reservoir factors, wherein the reservoir factors include sediment density, water backwater height in front of the dam, sediment settling velocity, reservoir capacity, inflow, outflow, water surface gradient, sediment coefficient and inflow sediment volume;

[0035] The processing module is used to obtain a predicted value of the reservoir sedimentation amount according to a pre-established first corresponding relationship between a reservoir factor and a reservoir sedimentation amount and a given value of the reservoir factor, wherein the first corresponding relationship is:

[0036]

[0037] Where W is the sediment accumulation amount of the reservoir, ρ s is the sediment density, ΔH is the water backwater height in front of the dam, ω is the sediment settling velocity, V is the reservoir capacity, Q0 is the inflow, Q is the outflow, J is the water surface gradient, α is the sediment coefficient, W0 is the inflow sediment, S0 is the inflow sediment content, and T is the calculation time of the inflow sediment.

[0038] In a third aspect, the present application further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the reservoir sediment deposition prediction method as described in the first aspect is implemented.

[0039] In a fourth aspect, the present application further provides a storage medium storing a computer program, and when the storage medium is executed by one or more processors, the reservoir sedimentation prediction method as described in the first aspect is implemented.

[0040] The method, device, electronic device and storage medium for predicting the amount of sediment deposition in a reservoir provided by the present application obtain the given values ​​of the reservoir factors input by the user through the input device, wherein the reservoir factors include sediment density, water backwater height in front of the dam, sediment settling velocity, reservoir capacity, inflow, outflow, water surface gradient, sediment coefficient and inflow sediment amount; according to the first corresponding relationship between the reservoir factors and the amount of sediment deposition in the reservoir established in advance and the given values ​​of the reservoir factors, the predicted value of the amount of sediment deposition in the reservoir is obtained. In the present application, by considering a variety of reservoir factors, the accuracy of the prediction of the amount of sediment deposition in the reservoir is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] One or more embodiments are exemplarily described by the pictures in the corresponding drawings, and these exemplary descriptions do not constitute limitations on the embodiments.

[0042] Figure 1 A schematic diagram of a flow chart of a reservoir sedimentation prediction method provided in an embodiment of the present application;

[0043] Figure 2 A schematic diagram of a flow chart of a method for obtaining a sand coefficient provided in an embodiment of the present application;

[0044] Figure 3 A schematic diagram of a flow chart of a method for obtaining sediment settling velocity provided in an embodiment of the present application;

[0045] Figure 4 A schematic diagram of the structure of a reservoir sediment deposition prediction device provided by an embodiment of the present invention;

[0046] Figure 5 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the present application, many technical details are proposed in order to enable the reader to better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present application can also be implemented. The division of the following embodiments is for the convenience of description, and the specific implementation of the present application should not be construed as any limitation, and the various embodiments can be combined and referenced with each other under the premise of no contradiction.

[0048] According to the principle of sediment balance, the amount of sediment deposited in a reservoir is the difference between the amount of sediment entering the reservoir and the amount of sediment leaving the reservoir. Under the condition that the sediment conditions remain unchanged, how to transport the sediment entering the reservoir out of the reservoir is the key to reducing the amount of sediment deposited, and the key to increasing the amount of sediment leaving the reservoir is during the flood season. The amount of sediment entering the reservoir during the flood season is large, especially during floods when the amount of water coming in is large and the amount of sediment is high. The total amount of sediment entering the reservoir is much higher than that during other periods. The best way to reduce the sediment deposited in the reservoir is to use the flood process during the flood season to discharge the sediment from the reservoir area with the help of water conservancy. This application plan focuses on predicting the amount of sediment deposited in the reservoir during the flood season. In actual application, by using the reservoir sediment deposit prediction method provided by this application, by predicting the sediment deposited amount of different scheduling plans under actual water and sediment conditions, and then formulating a reasonable sediment scheduling plan in combination with flood control requirements, it is possible to effectively reduce costs and increase the effective storage capacity of the reservoir.

[0049] It should be noted that the defects in the solutions in the above prior art are the results obtained by the inventor after practice and careful research. Therefore, the discovery process of the above problems and the solutions proposed by the embodiments of the present invention for the above problems below should all be the contributions made by the inventor to the present invention in the process of the present invention. Below, the reservoir sediment deposition prediction method, system, storage medium and electronic device provided by the embodiments of the present invention are described in detail.

[0050] Embodiment 1:

[0051] This embodiment provides a method for predicting the amount of sediment deposition in a reservoir. Figure 1 The flow chart of a reservoir sediment discharge method provided in the embodiment of the present application is as follows. It should be noted that the reservoir sediment deposition prediction method provided in the embodiment of the present application is not based on Figure 1 The specific order below is not limited. It should be understood that in other embodiments, the order of some steps in the reservoir sedimentation prediction method provided by the embodiment of the present invention can be interchanged according to actual needs, or some steps can be omitted or deleted. Figure 1 The specific processes involved are described, such as Figure 1 As shown, the method includes:

[0052] Step S110: Collect reservoir factors.

[0053] Among them, reservoir factors include sediment density, water backwater height in front of the dam, sediment settling velocity, reservoir capacity, inflow, outflow, water surface gradient, sediment coefficient and inflow sediment volume.

[0054] Among them, the water surface gradient is the difference in water surface elevation per unit horizontal distance along the direction of water flow, and the water surface gradient is similar to the slope.

[0055] Step S120: establishing a first corresponding relationship between reservoir factors and reservoir siltation amount.

[0056] Optionally, the first correspondence is as follows:

[0057]

[0058] Where W is the amount of sediment deposited in the reservoir, ρ s is the sediment density, ΔH is the water backwater height in front of the dam, ω is the sediment settling velocity, V is the reservoir capacity, Q0 is the inflow, Q is the outflow, J is the water surface gradient, α is the sediment coefficient, W0 is the inflow sediment, S0 is the inflow sediment content, and T is the calculation time of the inflow sediment.

[0059] Step S130: Obtain a given value of the reservoir factor.

[0060] The user inputs the given value of the reservoir factor through the input device, or pre-sets the given value of the reservoir factor through the input device. The given value of the reservoir factor is the reservoir factor value formed after each factor in the above-mentioned reservoir factor is assigned a given value.

[0061] Step S140: Obtain a predicted value of the reservoir siltation amount according to a pre-established first corresponding relationship between the reservoir factor and the reservoir siltation amount and a given value of the reservoir factor.

[0062] After the given values ​​of reservoir factors are set, the predicted value of reservoir sedimentation is obtained by controlling the reservoir sedimentation amount, sediment density, water height in front of the dam, sediment settling velocity, reservoir capacity, inflow, outflow, water surface gradient, sediment coefficient and inflow sediment amount in formulas (1) and (2) to the corresponding given values, thereby achieving accurate prediction of reservoir sedimentation amount.

[0063] In the present embodiment, a method for predicting the amount of sediment deposition in a reservoir is provided, which collects reservoir factors, wherein the reservoir factors include sediment density, water backwater height in front of the dam, sediment settling speed, reservoir capacity, inflow, outflow, water surface gradient, sediment coefficient and inflow sediment; pre-establishes a first correspondence between the reservoir factors and the amount of sediment deposition in the reservoir; obtains a given value of the reservoir factor input by the user through an input device; and obtains a predicted value of the amount of sediment deposition in the reservoir according to the pre-established first correspondence between the reservoir factors and the amount of sediment deposition in the reservoir and the given value of the reservoir factors. In the present application, a variety of reservoir factors are collected, and the influence of a variety of reservoir factors on the amount of sediment deposition in the reservoir is fully considered, thereby improving the prediction accuracy of the amount of sediment deposition in the reservoir and reducing the operation and maintenance cost of the reservoir; by measuring the reservoir parameters of the reservoir in the flood season, it is ensured that the calculated amount of sediment deposition in the reservoir can reflect the sediment deposition status of the current reservoir, thereby ensuring the accuracy of the prediction of the amount of sediment deposition in the reservoir in the flood season.

[0064] Embodiment 2

[0065] Based on the first embodiment, for the sediment coefficient in the reservoir factor, Figure 2 A schematic diagram of a method for obtaining a sand coefficient provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, step S110 may include:

[0066] Sub-step S111, obtaining the suspended matter content of the water body at the reservoir inlet and the inflow flow.

[0067] Alternatively, the suspended matter content in the water can be measured after taking water from a hydrological station at the entrance of the reservoir.

[0068] Sub-step S112: Calculate the ratio between the suspended matter content in the water body and the inflow flow rate to obtain the sediment coefficient.

[0069] It can be understood that the sediment coefficient represents the amount of sediment content per unit outflow.

[0070] Embodiment 3

[0071] Based on the first embodiment, for the sediment settling speed in the reservoir factor, Figure 3 A schematic diagram of a method for obtaining sediment settling velocity provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, step S110 may include:

[0072] Sub-step S113, obtaining sediment gradation data, sediment density and water temperature at the reservoir inlet.

[0073] Optionally, the water temperature at the tail end of the reservoir is measured by a temperature sensor.

[0074] Sub-step S114: obtaining the median particle size according to the sediment gradation data.

[0075] The sediment gradation data characterizes the distribution of each particle size of sediment particles. The sediment gradation data can be a sediment distribution curve, specifically, with the particle size as the abscissa and the percentage of the weight of sediment smaller than the particle size in the total weight of the sediment as the ordinate.

[0076] On the sediment gradation curve, the sediment weight corresponding to the median particle size accounts for 50% of the total sediment weight.

[0077] Sub-step S115, obtaining the kinematic viscosity of water according to the second corresponding relationship between the water temperature and the kinematic viscosity of water and the water temperature.

[0078] When water flows, the property of internal friction between water molecules is called the kinematic viscosity of water, and the kinematic viscosity is related to temperature. The second corresponding relationship between water temperature and kinematic viscosity of water can be a mapping table.

[0079] Sub-step S116, obtaining sediment settling velocity according to sediment density, median particle size, kinematic viscosity of water, density of water, gravitational acceleration and a third corresponding relationship, wherein the third corresponding relationship is the corresponding relationship between sediment density, median particle size, kinematic viscosity of water, density of water, gravitational acceleration and sediment settling velocity.

[0080] In one embodiment, the third correspondence includes a first sub-correspondence, and when the median particle size is within a first threshold range, for example, the first threshold range is [0, 0.062 mm), sub-step S116 may include:

[0081] Sub-step S116-a, obtaining sediment settling velocity according to sediment density, median particle size, kinematic viscosity of water, density of water, gravitational acceleration and the first sub-corresponding relationship.

[0082] The first sub-correspondence is:

[0083]

[0084] Among them, ω is the sediment settling velocity, ρ s is the density of sediment, ρ is the density of water (1 g / cubic centimeter), g is the acceleration of gravity (9.8 Newton / kilogram), d is the median particle size, and ν is the kinematic viscosity of water.

[0085] In another embodiment, the third correspondence further includes a second sub-correspondence, and when the median particle size is within a second threshold range, for example, the second threshold range is [0.062 mm, 2 mm], sub-step S116 may include:

[0086] Sub-step S116-b, obtaining sediment settling velocity according to sediment density, median particle size, kinematic viscosity of water, density of water, gravitational acceleration and the second sub-corresponding relationship.

[0087] The second sub-correspondence is:

[0088]

[0089] Among them, S a To judge the sinking speed, It is the particle size determination number.

[0090] Compared with the prior art, the reservoir sedimentation prediction method provided by this application is based on the basic principles of hydraulics and river dynamics and the principle of dimensional balance, and proposes a reservoir sedimentation prediction technology that comprehensively considers various factors, comprehensively considers the influence of water and sand elements on the reservoir sedimentation, and proposes a calculation formula structure and calculation method for the short-term reservoir sedimentation. In actual application scenarios, a reservoir sedimentation curve or table can be made according to the calculation formula, and the water level, storage capacity, flow rate and other factors that need to be controlled by the reservoir when the reservoir sedimentation volume is fixed can be calculated by looking up the curve or table, so that a reasonable reservoir scheduling plan can be formulated to increase the amount of sediment discharged from the reservoir at a relatively low cost, increase the reservoir storage capacity, and increase the service life of the reservoir, providing technical support for ensuring the normal function of the reservoir, with broad application prospects and significant social and economic benefits.

[0091] Embodiment 4

[0092] This embodiment provides a reservoir sedimentation prediction device. Figure 4 A schematic diagram of a reservoir sedimentation prediction device provided by an embodiment of the present invention is shown in FIG. Figure 4 As shown, the device includes: an acquisition module 210 and a processing module 220.

[0093] The acquisition module 210 is used to obtain the given values ​​of the reservoir factors, wherein the reservoir factors include sediment density, water backwater height in front of the dam, sediment settling velocity, reservoir capacity, inflow, outflow, water surface gradient, sediment coefficient and inflow sediment volume;

[0094] It can be understood that the acquisition module 210 is used to execute the above step S130.

[0095] The processing module 220 is used to obtain a predicted value of the reservoir sedimentation amount according to a pre-established first corresponding relationship between the reservoir factor and the reservoir sedimentation amount and a given value of the reservoir factor, wherein the first corresponding relationship is:

[0096]

[0097] Where W is the sediment accumulation amount of the reservoir, ρ s is the sediment density, ΔH is the water backwater height in front of the dam, ω is the sediment settling velocity, V is the reservoir capacity, Q0 is the inflow, Q is the outflow, J is the water surface gradient, α is the sediment coefficient, W0 is the inflow sediment, S0 is the inflow sediment content, and T is the calculation time of the inflow sediment.

[0098] It can be understood that the processing module 220 is used to execute the above step S140.

[0099] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the acquisition module 210 can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0100] In one embodiment, the reservoir sedimentation prediction device further comprises:

[0101] The relationship building module is used to collect reservoir factors and establish the first corresponding relationship between reservoir factors and reservoir sedimentation amount.

[0102] It can be understood that the relationship building module is used to execute the above steps S110 to S120.

[0103] In one embodiment, when obtaining the sediment inflow coefficient in the reservoir factor, the acquisition module 210 can be specifically used to obtain the suspended matter content of the water body at the reservoir inlet and the inflow flow; calculate the ratio between the suspended matter content of the water body and the inflow flow to obtain the sediment inflow coefficient.

[0104] In one embodiment, the above-mentioned acquisition module 210 can be specifically used to obtain the sediment grading data, sediment density and water temperature at the entrance of the reservoir when obtaining the sediment settling velocity in the reservoir factors; obtain the median particle size based on the sediment grading data; obtain the kinematic viscosity of water based on the second corresponding relationship between water temperature and the kinematic viscosity of water and the water temperature; obtain the sediment settling velocity based on the sediment density, the median particle size, the kinematic viscosity of water, the density of water, the acceleration of gravity and the third corresponding relationship, wherein the third corresponding relationship is the corresponding relationship between the sediment density, the median particle size, the kinematic viscosity of water, the density of water, the acceleration of gravity and the sediment settling velocity.

[0105] It is worth mentioning that all modules involved in this embodiment are logic modules. In practical applications, a logic unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of this application, this embodiment does not introduce units that are not closely related to solving the technical problems proposed by this application, but this does not mean that there are no other units in this embodiment.

[0106] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the above-mentioned module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0107] Embodiment five:

[0108] Another embodiment of the present application relates to an electronic device, such as Figure 5 As shown, it includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can implement the above method steps.

[0109] Among them, the memory and the processor are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors and memories together. The bus can also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor.

[0110] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory can be used to store data used by the processor when performing operations.

[0111] The processor may include, but is not limited to, one or more processors or microprocessors, etc. Each processor may be an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components to execute the methods in the above embodiments.

[0112] Embodiment 6

[0113] Another embodiment of the present application relates to a computer-readable storage medium storing a computer program, which implements the above method steps when executed by a processor.

[0114] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as: ROM), random access memory (Random Access Memory, referred to as: RAM), disk or optical disk and other media that can store program codes.

[0115] Those skilled in the art will appreciate that the above embodiments are specific embodiments for implementing the present application, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present application.

Claims

1. A method for predicting reservoir sedimentation, characterized in that: include: Obtain given values ​​of reservoir factors, where reservoir factors include sediment density, water backwater height in front of the dam, sediment settling velocity, reservoir capacity, inflow, outflow, water surface gradient, sediment coefficient and inflow sediment volume; According to the pre-established first corresponding relationship between the reservoir factor and the reservoir sedimentation amount and the given value of the reservoir factor, the predicted value of the reservoir sedimentation amount is obtained, wherein the first corresponding relationship is: Where W is the sediment accumulation amount of the reservoir, ρ s is the sediment density, ΔH is the water backwater height in front of the dam, ω is the sediment settling velocity, V is the reservoir capacity, Q0 is the inflow, Q is the outflow, J is the water surface gradient, α is the sediment coefficient, W0 is the inflow sediment, S0 is the inflow sediment content, and T is the calculation time of the inflow sediment.

2. The reservoir sedimentation prediction method according to claim 1, characterized in that: The method further comprises: collecting the reservoir factors; A first corresponding relationship between the reservoir factor and the amount of silt deposited in the reservoir is established.

3. The reservoir sedimentation prediction method according to claim 1, characterized in that: Obtaining the sediment coefficient in the reservoir factor includes: Obtaining the suspended matter content of the water body at the reservoir inlet and the inlet flow; The ratio between the suspended matter content of the water body and the inflow flow is calculated to obtain the sediment coefficient.

4. The reservoir sedimentation prediction method according to claim 1, characterized in that: Obtaining the sediment settling velocity in the reservoir factor includes: Obtaining sediment gradation data, sediment density and water temperature at a reservoir inlet; According to the sediment gradation data, a median particle size is obtained; Obtaining the kinematic viscosity of the water according to a second corresponding relationship between the water temperature and the kinematic viscosity of the water and the water temperature; The sediment settling velocity is obtained according to the sediment density, the median particle size, the kinematic viscosity of the water, the density of the water, the gravitational acceleration and a third corresponding relationship, wherein the third corresponding relationship is a corresponding relationship between the sediment density, the median particle size, the kinematic viscosity of the water, the density of the water, the gravitational acceleration and the sediment settling velocity.

5. The reservoir sedimentation prediction method according to claim 4, characterized in that: The third correspondence relationship includes the first sub-correspondence relationship; When the median particle size is within a first threshold range, the sediment settling velocity is obtained according to the sediment density, the median particle size, the kinematic viscosity of the water, the density of the water, the gravitational acceleration, and the first sub-corresponding relationship.

6. The reservoir sedimentation prediction method according to claim 5, characterized in that: The first sub-correspondence relationship is: Where, ω is the sediment settling velocity, ρ s is the density of the sediment, ρ is the density of the water, g is the gravitational acceleration, d is the median particle size, and ν is the kinematic viscosity of the water.

7. The reservoir sedimentation prediction method according to claim 6, characterized in that: The third correspondence relationship also includes a second sub-correspondence relationship; When the median particle size is within a second threshold range, the sediment settling velocity is obtained according to the sediment density, the median particle size, the kinematic viscosity of the water, the density of the water, the gravitational acceleration and the second sub-correspondence relationship.

8. The reservoir sedimentation prediction method according to claim 7, characterized in that: The second sub-correspondence relationship is: Among them, S a To judge the sinking speed, It is the particle size determination number.

9. A reservoir sedimentation prediction device, characterized in that: include: The acquisition module is used to obtain the given values ​​of reservoir factors, wherein the reservoir factors include sediment density, water backwater height in front of the dam, sediment settling velocity, reservoir capacity, inflow, outflow, water surface gradient, sediment coefficient and inflow sediment volume; The processing module is used to obtain a predicted value of the reservoir sedimentation amount according to a pre-established first corresponding relationship between a reservoir factor and a reservoir sedimentation amount and a given value of the reservoir factor, wherein the first corresponding relationship is: Where W is the sediment accumulation amount of the reservoir, ρ s is the sediment density, ΔH is the water backwater height in front of the dam, ω is the sediment settling velocity, V is the reservoir capacity, Q0 is the inflow, Q is the outflow, J is the water surface gradient, α is the sediment coefficient, W0 is the inflow sediment, S0 is the inflow sediment content, and T is the calculation time of the inflow sediment.

10. A storage medium, characterized in that: The storage medium stores a computer program, and when the storage medium is executed by one or more processors, the method for predicting reservoir sediment deposition amount as described in any one of claims 1 to 8 is implemented.

11. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method for predicting the amount of sediment deposition in a reservoir as claimed in any one of claims 1 to 8 is implemented.

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