Sediment content monitoring method, device, medium and equipment

Abstract

The invention discloses a sediment content monitoring method and device, a medium and equipment, and relates to the field of water conservancy. The method comprises the following steps: constructing an initial sediment content calculation model; the initial sediment content calculation model comprises a nonlinear relational expression between the total weight of water and sediment and the sediment content under different rainfall types; optimizing a coefficient of a nonlinear relational expression in the initial sediment content calculation model until the initial sediment content calculation model meets a convergence condition, and determining the initial sediment content calculation model meeting the convergence condition as a sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the test value of the sediment content per unit volume is minimum; and according to the water and sediment volume, the rainfall type, the total water and sediment weight and the sediment content calculation model of the to-be-monitored area, determining a unit volume sediment content monitoring value of the to-be-monitored area. The method can improve the monitoring precision of the sediment content.

Description

Technical Field

[0001] The present invention relates to the field of water conservancy, and particularly to a method, device, medium and equipment for monitoring sediment content. Background Art

[0002] Currently, in the process of hydrological and soil erosion monitoring, the weight of sediment contained in a unit volume is usually used to measure the severity of soil erosion. The higher the sediment content, the more serious the soil erosion problem. The determination of sediment content usually uses an automatic sampling and measuring device to take samples and weigh them, that is, the sediment is introduced into the water-sediment bucket of the sediment automatic monitor through a water diversion pipe, and the electronic scale in the monitor automatically weighs. According to the relationship between the total weight of water and sediment and the sediment content built into the measuring device, the sediment content is calculated, and the calculation result of the sediment content is sent to the receiving-end server through the Internet of Things.

[0003] The existing automatic sampling and measuring device determines the relationship between the sediment content and the total weight of water and sediment by the weighing method. The experimental results show that there is a linear relationship between the sediment content and the total weight of water and sediment, and the parameters of this linear relationship are written into the device chip. The weighing method is used to calibrate the relationship between the total weight of water and sediment and the sediment content in the device for measuring sediment content, and this linear relationship is solidified in the device. This method for measuring sediment content has low accuracy in practical applications. The main reason is that different types of soil, soil thickness, rock composition, rainfall, rainfall intensity, flood peak flow, etc. all have an impact on the sediment content, resulting in a large error in the determination result of the sediment content.

[0004] Therefore, there is an urgent need for a method to improve the monitoring accuracy of sediment content. Summary of the Invention

[0005] Based on this, in view of the above technical problems, it is necessary to provide a method, device, medium and equipment for monitoring sediment content. This method can improve the monitoring accuracy of sediment content.

[0006] The present invention adopts the following technical solutions: The present invention provides a method for monitoring sediment content, including: Constructing an initial sediment content calculation model; the initial sediment content calculation model includes a non-linear relationship between the total weight of water and sediment and the sediment content under different rainfall types; Optimizing the coefficients of the non-linear relationship in the initial sediment content calculation model until the initial sediment content calculation model meets the convergence condition, and determining the initial sediment content calculation model that meets the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the measured value of the sediment content per unit volume is the smallest; the calculated value of the sediment content per unit volume is determined according to the initial sediment content calculation model; the measured value of the sediment content per unit volume is determined by the weighing method; Determine the monitored value of sediment content per unit volume in the area to be monitored according to the water and sediment volume, rainfall type, total water and sediment weight, and sediment content calculation model in the area to be monitored.

[0007] Preferably, the construction process of the initial sediment content calculation model specifically includes: Conduct multiple weighing method tests for the study area under different rainfall types, and analyze the results of the multiple weighing method tests to determine that the total water and sediment weight and sediment content have a non-linear relationship under different rainfall types; Construct an initial sediment content calculation model according to the non-linear relationship.

[0008] Preferably, the initial sediment content calculation model is: P i =d i w + k i ; Wherein, P i is the sediment content corresponding to the i th rainfall type, i = 1, 2,..., n ; n is the number of rainfall types, k i is the constant corresponding to the i th rainfall type, w is the total water and sediment weight monitored each time in the water and sediment bucket of the monitoring device, d i is the calibration coefficient related to the specific gravity of the soil in the study area corresponding to the i th rainfall type.

[0009] Preferably, determining the monitored value of sediment content per unit volume in the area to be monitored according to the water and sediment volume, rainfall type, total water and sediment weight, and sediment content calculation model in the area to be monitored specifically includes: Obtain the sediment content calculation function corresponding to the rainfall type from the sediment content calculation model; Substitute the total water and sediment weight into the sediment content calculation function to obtain the sediment content in the area to be monitored; Determine the ratio of the sediment content in the area to be monitored to the water and sediment volume as the monitored value of sediment content per unit volume in the area to be monitored.

[0010] Preferably, the rainfall types include first-intensity rainfall, second-intensity rainfall, third-intensity rainfall, and fourth-intensity rainfall; the surface runoff carried by the first-intensity rainfall is low-specific gravity substances mainly composed of humus on the soil surface; the surface runoff carried by the second-intensity rainfall is soil; the surface runoff carried by the third-intensity rainfall is a mixture of soil and coarse sand; the surface runoff carried by the fourth-intensity rainfall is coarse sand and gravel.

[0011] The present invention provides a device for predicting sediment content, comprising: A construction module, configured to construct an initial sediment content calculation model; the initial sediment content calculation model includes a non-linear relationship between the total weight of water and sediment and the sediment content under different rainfall types; An optimization module, configured to optimize the coefficients of the non-linear relationship in the initial sediment content calculation model until the initial sediment content calculation model meets the convergence condition, and determine the initial sediment content calculation model that meets the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the measured value of the sediment content per unit volume is minimized; the calculated value of the sediment content per unit volume is determined according to the initial sediment content calculation model; the measured value of the sediment content per unit volume is determined by the weighing method; A determination module, configured to determine the monitored value of the sediment content per unit volume in the area to be monitored according to the water and sediment volume, rainfall type, total weight of water and sediment, and sediment content calculation model in the area to be monitored.

[0012] The present invention provides a computer-readable storage medium, and the storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned method for predicting sediment content is implemented.

[0013] The present invention provides a computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the above-mentioned method for predicting sediment content is implemented.

[0014] The above-mentioned at least one technical solution adopted by the present invention can achieve the following beneficial effects: Construct an initial sediment content calculation model, which is determined according to the test results of multiple tests to fit the actual hydrology and soil erosion process; optimize the coefficients of the non-linear relationship in the initial sediment content calculation model until the initial sediment content calculation model meets the convergence condition, and determine the initial sediment content calculation model that meets the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the measured value of the sediment content per unit volume is the smallest; the calculated value of the sediment content per unit volume is determined according to the initial sediment content calculation model; the measured value of the sediment content per unit volume is determined by the weighing method, and the initial coefficients of the piecewise function in the initial sediment content calculation model are determined by the weighing method, and the initial coefficients of the non-linear relationship are calibrated until the error is the smallest, so that the monitoring accuracy of the model is relatively high; determine the measured value of the sediment content per unit volume of the area to be monitored according to the water and sediment volume, rainfall type, total water and sediment weight and sediment content calculation model of the area to be monitored. This method can improve the accuracy of sediment content monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The drawings described herein are used to provide a further understanding of the present invention and form a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 FIG. is a schematic diagram of determining sediment content by the weighing method provided by the present invention; Figure 2 FIG. is a schematic flow chart of a monitoring method for sediment content provided by the present invention; Figure 3 FIG. is a schematic diagram of monitoring sediment content by the weighing method provided by the present invention; Figure 4 FIG. is a schematic diagram of a monitoring device for sediment content provided by the present invention; Figure 5 FIG. is a schematic diagram of a computer device for implementing a prediction method for sediment content provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0017] Devices such as desktop computers, servers, and laptop computers that can execute the solutions of the present invention. For the sake of convenience of description, only the server will be used as the execution subject for description below.

[0018] Figure 1 This is a schematic diagram of determining sediment content by the weighing method provided by the present invention. In the equipment for measuring sediment content by the weighing method, a linear function is used to calibrate the relationship between the total weight of water and sediment and the sediment content, and this linear relationship is solidified in the equipment. The accuracy of this method for measuring sediment content is relatively low in practical applications. The main reason is that different types of soil, soil thickness, rock composition, rainfall, rainfall intensity, peak flood discharge, etc. all have an impact on the sediment content, resulting in a large error in the measured sediment content.

[0019] The following will, in conjunction with the accompanying drawings, detail the technical solutions provided by the various embodiments of the present invention.

[0020] Figure 2 This is a schematic diagram of the process for a method of monitoring sediment content in the present invention, which specifically includes the following steps: S201: Construct an initial sediment content calculation model; the initial sediment content calculation model includes a non - linear relationship formula between the total weight of water and sediment and the sediment content under different rainfall types.

[0021] In an exemplary embodiment, the construction process of the initial sediment content calculation model specifically includes: conducting multiple weighing method tests for the research area under different rainfall types, and analyzing the results of the multiple weighing method tests to determine that the relationship between the total weight of water and sediment and the sediment content is non - linear under different rainfall types; constructing the initial sediment content calculation model according to the non - linear relationship.

[0022] In an exemplary embodiment, the rainfall types include first - intensity rainfall, second - intensity rainfall, third - intensity rainfall, and fourth - intensity rainfall; the surface runoff carried by the first - intensity rainfall is mainly low - specific - gravity substances dominated by humus on the soil surface; the surface runoff carried by the second - intensity rainfall is soil; the surface runoff carried by the third - intensity rainfall is a mixture of soil and coarse sand; the surface runoff carried by the fourth - intensity rainfall is coarse sand and gravel.

[0023] Specifically, under natural conditions, runoff will occur when the rainfall exceeds the soil infiltration capacity. The soil infiltration capacity is closely related to the soil thickness, porosity, initial soil moisture content, specific gravity of soil components, parent material and its rock composition, etc. The runoff volume is closely related to soil type, rainfall amount, rainfall intensity, rainfall duration, terrain slope, slope length, vegetation coverage, etc. Affected by the above factors, when the rainfall amount and rainfall intensity in the same area are less than a certain threshold, the surface runoff carries low-specific gravity substances mainly composed of humus on the soil surface from the start of runoff. The sediment-carrying ratio of different soil types is about 1.3 - 1.6 T / W3, corresponding to the first-intensity rainfall, and this time period is denoted as t0 - t1 (set as T1); as the rainfall continues, the runoff volume continues to increase, and the runoff scouring force increases accordingly. Within a certain threshold range, the surface runoff carries soil, and the sediment-carrying ratio of different soil types is about 1.6 - 1.9 T / W3, corresponding to the second-intensity rainfall, and this time period is denoted as t1 - t2 (set as T2); as the rainfall continues, the runoff converges into small floods, and the scouring force further increases. Within a certain threshold range, the surface runoff carries a mixture of soil and coarse sand, and the sediment-carrying ratio of different soil types is about 1.9 - 2.5 T / W3, corresponding to the third-intensity rainfall, and this time period is denoted as t2 - t3 (set as T3); as the rainfall continues, the runoff develops into floods, and the scouring force increases rapidly. Within a certain threshold range, the surface runoff carries coarse sand and gravel, and the sediment-carrying ratio of different soil types is about 2.5 - 2.8 T / W3, corresponding to the fourth-intensity rainfall, and this time period is denoted as t3 - t4 (set as T4); when the flood subsides, as the scouring force decreases, the sediment with a large specific gravity gradually deposits, and the sediment carried in the water is approximately close to the ratio in the first time period, corresponding to the fifth-intensity rainfall, and this time period is denoted as t4 - t5 (set as T5). Due to the different material compositions of sediment under different rainfall types, even if the same volume of sediment is contained in the same water-sediment volume, the sediment content is different.

[0024] The durations of the first-intensity rainfall, second-intensity rainfall, third-intensity rainfall, and fourth-intensity rainfall are determined according to in-situ tests on-site.

[0025] For the same test area, multiple tests are conducted respectively under the first-intensity rainfall, second-intensity rainfall, third-intensity rainfall, and fourth-intensity rainfall types. The results of multiple tests are analyzed to obtain analysis conclusions, and an initial sediment content calculation model is constructed based on the analysis conclusions. The calculation model of the initial sediment content is a piecewise function, and the initial sediment content calculation model is shown in formula (1): P i =d i w + k i (1); Wherein, Pi is the sediment content corresponding to the i th rainfall type, i = 1, 2, ..., n ; n is the number of rainfall types, k i is the constant corresponding to the i th rainfall type, w is the total weight of water and sediment in the water-sediment bucket of the monitoring device for each monitoring, d i is the calibration coefficient related to the specific gravity of the i th rainfall type of the soil in the study area.

[0026] S202: Optimize the coefficients of the non-linear relationship in the initial sediment content calculation model until the initial sediment content calculation model meets the convergence condition, and determine the initial sediment content calculation model that meets the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the measured value of the sediment content per unit volume is minimized; the calculated value of the sediment content per unit volume is determined according to the initial sediment content calculation model; the measured value of the sediment content per unit volume is determined by the weighing method.

[0027] Specifically, in hydrology and soil erosion monitoring, an automatic sampling and measuring device for sediment content is commonly used for experiments. The principle of the automatic sampling and measuring device is sampling and weighing, that is, using a water diversion pipe to introduce the sediment-laden water into the water-sediment bucket of the sediment automatic monitor, and the electronic scale in the monitor automatically weighs. According to the relationship between the total weight of water and sediment in the water-sediment bucket built into the automatic sampling and measuring device and the sediment content, the sediment content is calculated, and the sediment content result is sent to the receiving end server through the Internet of Things.

[0028] The calculation method of sediment mass is shown in formula (2): W 泥 = W - W 水 = W - V 水 · ρ 水 = W - (V - V 泥 ) (2); Among them, W 泥 is the sediment mass, W is the total mass of the sediment sample, W 水 is the mass of water in the sediment sample, V 水 is the volume of water in the sediment sample, ρ 水 is the density of water, V is the total volume of the sediment sample, V 泥 is the volume of sediment in the sediment sample.

[0029] The calculation method of water density is shown in formula (3): ρ 水 =W -V · ρ 水 + W 泥 / d (3); Wherein, ρ 水 is the density of water, W is the total mass of the sediment sample, W 泥 is the sediment mass, d is the calibration coefficient related to the soil specific gravity in the control area of the monitoring station.

[0030] The calculation method of sediment mass is shown in formula (4): W 泥 =[ ( W -V · ρ 水 ) · d ] / (d -1) (4); Wherein, W 泥 is the sediment mass, W is the total mass of the sediment sample, V is the total volume of the sediment sample, ρ 水 is the density of water, d is the calibration coefficient related to the soil specific gravity in the control area of the monitoring station.

[0031] The calculation method of sediment content is shown in formula (5): P = ( W -V · ρ 水 ) · d / (d -1)·V (5); Wherein, P is the sediment content, W is the total mass of the sediment sample, V is the total volume of the sediment sample, ρ 水 is the density of water, d is the calibration coefficient related to the soil specific gravity in the control area of the monitoring station.

[0032] To calculate the sediment content (P), it is necessary to know the total mass of the sediment sample (W), the total volume of the sediment sample (V), and the calibration coefficient related to the soil specific gravity in the control area of the monitoring station (d). The total mass of the sediment sample is accurately measured by a high-precision balance. Therefore, the sediment content in the water-sediment sample is mainly determined by the volume of the water-sediment sample and the sediment specific gravity.

[0033] Specifically, the present invention determines the initial coefficients in the initial sediment content calculation model under different rainfall types by the weighing method. In the same basin, due to different rainfall intensities and terrains during the rainfall process, the sediment specific gravity varies at different time periods. Through research, it is found that the sediment content is a piecewise function, basically divided into 5 segments. The duration of each segment needs to be determined by in-situ tests on-site. Since the soil geological conditions are different in different regions, the length of the time period is different at each measuring station. The relationship between the sediment content, the soil specific gravity, and the total weight of water and sediment is as Figure 3 shown, and the model is as Figure 3 shown.

[0034] Specifically, substitute the total weight of water and sediment and the measurement time into the initial sediment content calculation model to obtain the calculated value of the sediment content. Determine the calculated value of the sediment content per unit volume as the ratio of the calculated value of the sediment content to the volume of water and sediment. Determine the actual value of the sediment content per unit volume by the weighing method. Calculate the error between the calculated value and the actual value.

[0035] Specifically, in order to reduce the error in step S103, conduct weighing tests on multiple sediment samples under different rainfall types respectively. The specific number of tests is set according to engineering practice, and predict the sediment content of the sediment samples according to the initial sediment content calculation model. Compare the results of the weighing tests with the predicted values of the initial sediment content calculation model, and calculate the error between the results of the weighing tests and the predicted values of the initial sediment content calculation model. Calibrate the initial coefficients to reduce the error. The coefficient corresponding to the minimum error is the final coefficient, and determine the sediment content calculation model according to the final coefficient.

[0036] S203: Determine the monitored value of the sediment content per unit volume in the area to be monitored according to the volume of water and sediment, rainfall type, total weight of water and sediment, and sediment content calculation model in the area to be monitored.

[0037] In an exemplary embodiment, determine the monitored value of the sediment content per unit volume in the area to be monitored according to the volume of water and sediment, rainfall type, total weight of water and sediment, and sediment content calculation model in the area to be monitored, specifically including: obtain the sediment content calculation function corresponding to the rainfall type from the sediment content calculation model; substitute the total weight of water and sediment into the sediment content calculation function to obtain the sediment content in the area to be monitored; determine the ratio of the sediment content in the area to be monitored to the volume of water and sediment as the monitored value of the sediment content per unit volume in the area to be monitored.

[0038] Specifically, if the time period to be predicted is within the time period corresponding to the first-intensity rainfall type, then use the first linear function in the sediment content calculation model to calculate the sediment content. Input the water and sediment mass in the area to be predicted into the first linear function to obtain the sediment content, and determine the ratio of the sediment content to the sediment volume in the area to be predicted as the predicted value of the sediment content per unit volume in the area to be predicted.

[0039] When applying a method for predicting sediment content provided by the present invention, it is not necessary to execute according to the Figure 2 sequence of each step shown. The specific execution sequence of each step can be determined as needed, and the present invention places no restrictions thereon.

[0040] The above is a method for monitoring sediment content provided by one or more embodiments of the present invention. Based on the same idea, the present invention also provides a corresponding device for monitoring sediment content, as Figure 2 shown.

[0041] Figure 4 A schematic diagram of a device for monitoring sediment content provided by the present invention includes: A construction module 401 for constructing an initial sediment content calculation model; the initial sediment content calculation model includes a non-linear relationship between the total weight of water and sediment and the sediment content under different rainfall types.

[0042] An optimization module 402 for optimizing the coefficients of the non-linear relationship in the initial sediment content calculation model until the initial sediment content calculation model meets the convergence condition, and determining the initial sediment content calculation model that meets the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the measured value of the sediment content per unit volume is minimized; the calculated value of the sediment content per unit volume is determined according to the initial sediment content calculation model; the measured value of the sediment content per unit volume is determined by the weighing method.

[0043] A determination module 403 for determining the measured value of the sediment content per unit volume of the area to be monitored according to the water and sediment volume, rainfall type, total weight of water and sediment, and sediment content calculation model of the area to be monitored.

[0044] For the specific limitations on a device for predicting sediment content, reference can be made to the limitations on a method for predicting sediment content in the above text, which will not be elaborated here. Each module in the above device for predicting sediment content can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of a computer device in hardware form or be independent of it, or can be stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0045] The present invention also provides a computer-readable storage medium storing a computer program, which can be used to execute the Figure 1 method for predicting sediment content provided above.

[0046] The present invention also provides Figure 5 a schematic diagram of the structure of a computer device as shown, as Figure 5As shown, at the hardware level, the computer device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory. Of course, it may also include other hardware required for other services. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it to implement the above Figure 1 prediction method for sediment content provided.

[0047] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0048] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope recorded by the present invention.

Claims

1. A method for monitoring sediment content, characterized in that, Including: Construct an initial sediment content calculation model; the initial sediment content calculation model includes a non-linear relationship between the total water and sediment weight and the sediment content under different rainfall types; Optimize the coefficients of the non-linear relationship in the initial sediment content calculation model until the initial sediment content calculation model meets the convergence condition, and determine the initial sediment content calculation model that meets the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the measured value of the sediment content per unit volume is the smallest; the calculated value of the sediment content per unit volume is determined according to the initial sediment content calculation model; the measured value of the sediment content per unit volume is determined according to the weighing method; According to the water and sediment volume, rainfall type, total water and sediment weight of the area to be monitored and the sediment content calculation model, determine the monitored value of the sediment content per unit volume of the area to be monitored.

2. The method according to claim 1, wherein The construction process of the initial sediment content calculation model specifically includes: Conduct multiple weighing method experiments for the study area under different rainfall types, and analyze the results of multiple weighing method experiments to determine that there is a non-linear relationship between the total water and sediment weight and the sediment content under different rainfall types; Construct an initial sediment content calculation model according to the non-linear relationship.

3. The method according to claim 1, characterized in that, The initial sediment content calculation model is: P i =d i w + k i； wherein, P i is the sediment content corresponding to the i th rainfall type, i = 1, 2,..., n ; n is the number of rainfall types, k i is the constant corresponding to the i th rainfall type, w is the total weight of water and sediment in the water-sediment bucket of the monitoring device for each monitoring, d i is the calibration coefficient related to the specific gravity corresponding to the i th rainfall type of the soil in the study area.

4. The method according to claim 1, characterized in that, The step of determining the monitored value of the sediment content per unit volume of the area to be monitored according to the water and sediment volume, rainfall type, total water and sediment weight of the area to be monitored and the sediment content calculation model specifically includes: Obtain the sediment content calculation function corresponding to the rainfall type from the sediment content calculation model; Substitute the total water and sediment weight into the sediment content calculation function to obtain the sediment content of the area to be monitored; Determine the ratio of the sediment content of the area to be monitored to the water and sediment volume as the monitored value of the sediment content per unit volume of the area to be monitored.

5. The method according to claim 1, wherein The rainfall types include the first intensity rainfall, the second intensity rainfall, the third intensity rainfall, and the fourth intensity rainfall; the surface runoff carried by the first intensity rainfall is low-specific gravity substances mainly composed of humus on the soil surface; the surface runoff carried by the second intensity rainfall is soil; the surface runoff carried by the third intensity rainfall is a mixture of soil and coarse sand; the surface runoff carried by the fourth intensity rainfall is coarse sand and gravel.

6. A monitoring device for sediment content, characterized in that, Including: A construction module for constructing an initial sediment content calculation model; the initial sediment content calculation model includes a non-linear relationship between the total water and sediment weight and the sediment content under different rainfall types; An optimization module for optimizing the coefficients of the non-linear relationship in the initial sediment content calculation model until the initial sediment content calculation model meets the convergence condition, and determining the initial sediment content calculation model that meets the convergence condition as the sediment content calculation model; the convergence condition is that the error between the calculated value of the sediment content per unit volume and the measured value of the sediment content per unit volume is the smallest; the calculated value of the sediment content per unit volume is determined according to the initial sediment content calculation model; the measured value of the sediment content per unit volume is determined according to the weighing method; A determination module, configured to determine a monitoring value of sediment content per unit volume of a to-be-monitored area according to the water and sediment volume, rainfall type, total water and sediment weight, and the sediment content calculation model of the to-be-monitored area.

7. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

8. A computer device, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the method according to any one of claims 1 to 5 is implemented.

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