Dam building and site selection optimized layout method, system, equipment, medium and product for channel silt dam in semi-arid region

Abstract

The invention discloses a semi-arid region channel silt dam building site selection optimization layout method, system and device, a medium and a product, and relates to the field of engineering site selection layout, and the method comprises the steps: obtaining channel basic data of a semi-arid region target channel; determining a dam site suitability evaluation index according to the channel basic data; grading and quantifying each dam site suitability evaluation index, determining a corresponding weight, and constructing a dam site suitability evaluation index system; dividing the target channel to obtain a plurality of channel sections; evaluating each channel section by using a dam site suitability evaluation index system; determining a potential dam site according to the evaluation result; according to the potential dam site, a multi-objective optimization model considering the sand blocking benefit, the silt area, the dam body stability and the engineering investment is established; and according to the multi-objective optimization model, a dam site layout scheme of the silt dam is determined. According to the method, the accuracy, rationality and overall benefits of dam building and site selection of the channel silt dam in the semi-arid region can be improved.

Description

Technical Field

[0001] The present application relates to the field of engineering site selection and layout, and in particular to a method, system, equipment, medium and product for optimizing the site selection and layout of a ditch silt dam in a semi-arid area. Background Art

[0002] Semi-arid regions are among the most severely affected by soil erosion, with strong gully erosion. Warp dams, as an effective soil and water conservation measure, play a vital role in retaining silt, reducing sediment inflow into the Yellow River, and improving the regional ecological environment.

[0003] However, the current site selection process for check dams in semi-arid regions presents several challenges. Firstly, a comprehensive site selection approach that considers multiple factors, including channel topography, soil characteristics, hydrological conditions, and surrounding land use, has been lacking. This has led to some dam sites being chosen inappropriately, resulting in difficulties ensuring dam stability and poor land reclamation effectiveness. Secondly, the lack of a systematic optimized layout plan has prevented effective synergy between check dams, hindering their overall effectiveness.

[0004] Therefore, based on the above problems, there is an urgent need to provide a method for optimizing the site selection and layout of gully check dams in semi-arid areas. Summary of the Invention

[0005] The purpose of this application is to provide a method, system, equipment, medium and product for optimizing the site selection layout of ditch silt dams in semi-arid areas, which can improve the accuracy, rationality and overall benefits of the site selection of ditch silt dams in semi-arid areas.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for optimizing the site selection and layout of a ditch silt dam in a semi-arid region. The method comprises:

[0008] Obtaining basic channel data of a target channel in a semi-arid area; the basic channel data includes topographic data, soil data, hydrological data, and surrounding land use status data;

[0009] Determine dam site suitability evaluation indicators based on channel basic data; quantify and grade each dam site suitability evaluation indicator, determine the corresponding weight, and construct a dam site suitability evaluation indicator system; the dam site suitability evaluation indicators include: terrain condition indicators, soil condition indicators, hydrological condition indicators, and land use indicators;

[0010] Dividing the target channel to obtain multiple channel segments;

[0011] Use the dam site suitability evaluation index system to evaluate each channel section and determine the potential dam site based on the evaluation results;

[0012] Based on the potential dam site, a multi-objective optimization model is established that takes into account sediment retention benefits, siltation area, dam stability, and project investment;

[0013] Based on the multi-objective optimization model, the dam site layout plan of the silt dam is determined.

[0014] Optionally, each dam site suitability evaluation index is graded and quantified, and corresponding weights are determined to construct a dam site suitability evaluation index system, specifically including:

[0015] The analytic hierarchy process or expert scoring method is used to determine the weight corresponding to each graded and quantified dam site suitability evaluation index.

[0016] Optionally, dividing the target channel to obtain multiple channel segments specifically includes:

[0017] The target channel is divided into multiple channel segments using geographic information system technology.

[0018] Optionally, each channel section can be evaluated using a dam site suitability evaluation index system, including:

[0019] Using the formula Determine the evaluation results corresponding to each channel section;

[0020] Among them, S is the comprehensive score of dam site suitability and is used as the evaluation result, w i is the weight of the suitability evaluation index of the i-th dam site, x i is the quantitative value of the i-th dam site suitability evaluation index, and n is the number of dam site suitability evaluation indexes.

[0021] Optionally, the multi-objective optimization model specifically includes:

[0022] Using the formula Determine the sediment interception benefit objective function Q s Among them, Q in,t is the inflow during period t, Q out,t is the outflow during period t, λ is the sedimentation coefficient, T is the total period, and e is the natural logarithm;

[0023] Using the formula Determine the objective function A of silted land area yudi ;W(h) is the sedimentation width corresponding to different dam heights h, and H is the total dam height;

[0024] Using the formula C=C base +C height ·h+C lenghtL determines the project investment objective function C; where C base As the basic cost, C height is the unit height cost, C lenght is the cost per unit length, L is the total length;

[0025] Using the formula Determine the dam spacing constraints and use the formula Determine the dam height constraint; where D is the dam spacing, Q is the design flow, g is the acceleration of gravity, A is the cross-sectional area of ​​the water flow, ΔS is the longitudinal slope, and H max is the maximum elevation of the terrain, μ is the safety factor, and θ is the channel slope.

[0026] Optionally, a dam site layout plan for the check dam is determined based on a multi-objective optimization model, specifically including:

[0027] Based on the multi-objective optimization model, a genetic algorithm or a particle swarm optimization algorithm is used to determine the dam site layout plan of the silt dam; the dam site layout plan includes the specific location, height and type of the dam site of each silt dam.

[0028] In a second aspect, the present application provides a system for optimizing the site selection and layout of ditch silt dams in semi-arid areas. The system comprises:

[0029] A data acquisition module is used to acquire basic channel data of a target channel in a semi-arid area; the basic channel data includes topographic data, soil data, hydrological data, and surrounding land use status data;

[0030] An indicator system construction module is used to determine dam site suitability evaluation indicators based on channel basic data; each dam site suitability evaluation indicator is graded and quantified, and the corresponding weight is determined to construct a dam site suitability evaluation indicator system; the dam site suitability evaluation indicators include: terrain condition indicators, soil condition indicators, hydrological condition indicators, and land use indicators;

[0031] A channel division module is used to divide the target channel into multiple channel segments;

[0032] The potential dam site determination module is used to evaluate each channel section using the dam site suitability evaluation index system and determine the potential dam site based on the evaluation results;

[0033] A multi-objective optimization model building module is used to establish a multi-objective optimization model based on potential dam sites, taking into account sediment retention benefits, siltation area, dam stability, and project investment;

[0034] The dam site layout scheme determination module is used to determine the dam site layout scheme of the silt dam based on the multi-objective optimization model.

[0035] In a third aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for optimizing the site selection and layout of channel silt dams in semi-arid areas.

[0036] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for optimizing the site selection and layout of channel silt dams in semi-arid areas.

[0037] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the method for optimizing the site selection and layout of channel silt dams in semi-arid areas.

[0038] According to the specific embodiments provided in this application, this application has the following technical effects:

[0039] The present application provides a method, system, equipment, medium and product for optimizing the site selection and layout of silt dams in semi-arid areas, establishes a dam site suitability evaluation index system for target channels in semi-arid areas, then divides the target channels into sections, and determines potential dam sites based on the dam site suitability evaluation index system; then, based on the potential dam sites, establishes a multi-objective optimization model that considers sediment retention benefits, siltation area, dam body stability and project investment, and determines the dam site layout plan of the silt dam through the multi-objective optimization model, and then considers sediment retention benefits, siltation area, dam body stability and project investment. The present application can improve the scientificity and rationality of dam site selection, achieve the optimized layout of silt dam groups, improve the overall soil and water conservation benefits, effectively reduce soil erosion, and promote ecological environment improvement and sustainable development in semi-arid areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0041] Figure 1 This is a flow chart of a method for optimizing the site selection and layout of channel silt dams in semi-arid areas in one embodiment of the present application. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0043] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0044] In an exemplary embodiment, Figure 1 As shown, a method for optimizing the site selection and layout of channel check dams in semi-arid areas is provided, which includes the following S101 to S106.

[0045] S101, obtaining basic channel data of a target channel in a semi-arid area; the basic channel data includes: topographic data, soil data, hydrological data, and surrounding land use status data;

[0046] Among them, topographic data includes information such as the longitudinal profile, cross-section, and slope of the channel; topographic data is obtained through high-precision topographic mapping and drone remote sensing mapping; soil data includes soil type, soil texture, soil erosion modulus, etc.; and soil data is collected by field sampling analysis combined with soil database query methods; hydrological data includes runoff, peak flow, sediment content, etc.; and hydrological data is obtained through hydrological monitoring station data and basin hydrological model simulation calculations; surrounding land use status data includes the distribution of cultivated land, grassland, forest land, etc.; and is obtained through land use survey data and satellite image interpretation;

[0047] Furthermore, the channel basic data of the target channel in the semi-arid area is processed to obtain a channel basic information database.

[0048] The resolution of topographic data should be no less than 1:5000 to ensure that the details of the gully topography can be accurately reflected; the distribution of soil sampling points should be representative, with no less than 3 sampling points per square kilometer; the time series of hydrological data should be no less than 10 years to accurately analyze the hydrological characteristics.

[0049] S102: Determine dam site suitability evaluation indicators based on the channel basic data; quantify and classify each dam site suitability evaluation indicator, determine the corresponding weight, and construct a dam site suitability evaluation indicator system; the dam site suitability evaluation indicators include: terrain condition indicators (such as channel width, depth, gradient, etc.), soil condition indicators (such as soil shear strength, permeability coefficient, etc.), hydrological condition indicators (such as runoff coefficient, flood frequency, etc.), and land use indicators (such as land use type and area ratio upstream and downstream of the dam site);

[0050] The suitability evaluation index of each dam site is graded and quantified. For example, the channel gradient is divided into five levels: gentle, relatively gentle, medium, relatively steep, and steep, and different scores are assigned to each level. The graded and quantified standards are shown in Table 1.

[0051] Table 1

[0052]

[0053] As a specific example, the analytic hierarchy process (AHP) or expert scoring method is used to determine the weights corresponding to each graded and quantified dam site suitability evaluation indicator, and to create a judgment matrix. When determining indicator weights using the AHP method, the consistency ratio of the judgment matrix should be less than 0.1 to ensure the rationality of the weight determination. For the expert scoring method, at least five experts in fields such as soil and water conservation, hydraulic engineering, and geographic information should be invited to provide scoring.

[0054] Specifically, the 1-9 scale method is used when constructing the judgment matrix. The importance comparison standard between indicators is: 1 means equal importance; 3 means indicator i is significantly more important than indicator j; 5 means indicator i is extremely more important than indicator j; recursive multiple relationship (such as 7 = 5 + 2); the process of calculating indicator weights is:

[0055] (1) Write the judgment matrix M;

[0056] (2) Calculate the eigenvector V = (v1, v2, ..., v n );

[0057] (3) Normalized weight W = V / Σv i ;

[0058] (4) Calculate the consistency index CI = (λ weight max-n) / (n-1);

[0059] (5) Calculate CR = CI / RI (RI is the random consistency index);

[0060] CR<0.1 is required to ensure the validity of the matrix.

[0061] S103, dividing the target channel to obtain multiple channel segments;

[0062] Specifically, the ditch is divided into several sections using geographic information system (GIS) technology to obtain multiple ditch sections. When using GIS technology for evaluation and calculation, the grid unit size should be determined according to the actual situation of the ditch, generally not larger than 10m×10m, to improve the evaluation accuracy.

[0063] S104, evaluating each channel section using the dam site suitability evaluation index system; and determining a potential dam site based on the evaluation results;

[0064] Using the formula Determine the evaluation results corresponding to each channel section;

[0065] Among them, S is the comprehensive score of dam site suitability and is used as the evaluation result, w i is the weight of the suitability evaluation index of the i-th dam site, x i is the quantitative value of the i-th dam site suitability evaluation index, and n is the number of dam site suitability evaluation indexes. Based on the evaluation results, channel sections suitable for dam construction are selected as potential dam sites.

[0066] S105. Based on the potential dam site, a multi-objective optimization model should be established that takes into account sediment retention benefits, siltation area, dam stability, and project investment. The calculation of the sediment retention benefit objective function in the multi-objective optimization model should consider the sediment retention effect under flood conditions of different frequencies. The dam stability objective function should be constructed using mature theories such as the limit equilibrium method.

[0067] Using the formula Determine the sediment interception benefit objective function Q s Among them, Q in,t is the inflow during period t, Q out,t is the outflow in period t, λ is the sedimentation coefficient (selected from 0.05 to 0.15), T is the total period, and e is the natural logarithm. The sediment interception benefit objective function can be calculated based on the sediment transport volume upstream and downstream of the dam site;

[0068] Using the formula Determine the objective function A of silted land area yudi Where W(h) is the sedimentation width corresponding to different dam heights h, calculated by the Manning formula: n manning is the Manning coefficient, S goudao is the channel slope, H is the total dam height; the objective function of siltation area takes into account factors such as dam height and channel width.

[0069] The project investment objective function involves the dam construction quantity, material cost, etc. Using the formula C = C base +C height ·h+C lenght L determines the project investment objective function C; where C baseAs the basic cost, C height is the unit height cost, C lenght is the unit length cost, L is the total length; the dam stability objective function is related to the dam site topography and soil conditions;

[0070] At the same time, constraints are set for the multi-objective optimization model, such as dam spacing constraints (to ensure the synergistic effect of upstream and downstream dams without affecting flood safety), dam height constraints (to determine the reasonable dam height range based on terrain and engineering requirements), and land use constraints (to avoid damage to important ecological land and basic farmland).

[0071] Using the formula Determine the dam spacing constraints and use the formula Determine the dam height constraint; where D is the dam spacing, Q is the design flow, and g is the acceleration of gravity, g = 9.8 m / s 2 , A is the cross-sectional area of ​​water flow, ΔS is the longitudinal slope, H max is the maximum elevation of the terrain, μ is the safety factor, and θ is the channel slope.

[0072] The land use constraint is that no dam shall be built within 200m outside the boundary line of the basic farmland protection zone.

[0073] S106: Determine a dam site layout plan for the silt dam based on the multi-objective optimization model.

[0074] Based on the multi-objective optimization model, an intelligent optimization algorithm (genetic algorithm or particle swarm optimization algorithm) is used to determine the dam site layout plan of the silt dam; the dam site layout plan is the specific location, dam height and dam type of each silt dam.

[0075] The intelligent optimization algorithm shall be iterated no less than 100 times to ensure the convergence and accuracy of the optimization results; after obtaining the optimized layout plan, field investigation and demonstration shall be carried out, and necessary adjustments shall be made according to the actual situation.

[0076] Based on the same inventive concept, embodiments of the present application also provide a system for optimizing the location and layout of ditch check dams in semi-arid regions, which is used to implement the aforementioned method for optimizing the location and layout of ditch check dams in semi-arid regions. The solution provided by this system is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the system for optimizing the location and layout of ditch check dams in semi-arid regions provided below can be found in the aforementioned method for optimizing the location and layout of ditch check dams in semi-arid regions, and will not be further elaborated here.

[0077] In an exemplary embodiment, a system for optimizing the site selection and layout of channel check dams in semi-arid areas is provided, comprising:

[0078] A data acquisition module is used to acquire basic channel data of a target channel in a semi-arid area; the basic channel data includes topographic data, soil data, hydrological data, and surrounding land use status data;

[0079] An indicator system construction module is used to determine dam site suitability evaluation indicators based on channel basic data; each dam site suitability evaluation indicator is graded and quantified, and the corresponding weight is determined to construct a dam site suitability evaluation indicator system; the dam site suitability evaluation indicators include: terrain condition indicators, soil condition indicators, hydrological condition indicators, and land use indicators;

[0080] A channel division module is used to divide the target channel into multiple channel segments;

[0081] The potential dam site determination module is used to evaluate each channel section using the dam site suitability evaluation index system and determine the potential dam site based on the evaluation results;

[0082] A multi-objective optimization model building module is used to establish a multi-objective optimization model based on potential dam sites, taking into account sediment retention benefits, siltation area, dam stability, and project investment;

[0083] The dam site layout scheme determination module is used to determine the dam site layout scheme of the silt dam based on the multi-objective optimization model.

[0084] In an exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, a memory, an input / output (I / O) interface, and a communication interface. The processor, memory, and I / O interface are connected via a system bus, and the communication interface is connected to the system bus via the I / O interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The I / O interface of the computer device is configured to exchange information between the processor and an external device. The communication interface of the computer device is configured to communicate with an external terminal via a network connection. When executed by the processor, the computer program implements a method for optimizing the site selection and layout of channel check dams in semi-arid regions.

[0085] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0086] In an exemplary embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0087] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0088] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0089] The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may include, but are not limited to, general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic units, data processing logic units based on quantum computing, and the like.

[0090] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0091] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this specification.

[0092] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for optimizing the site selection and layout of a gully silt dam in a semi-arid area, characterized in that: The method for optimizing the site selection and layout of gully check dams in semi-arid areas includes: Obtaining basic channel data of a target channel in a semi-arid area; the basic channel data includes topographic data, soil data, hydrological data, and surrounding land use status data; Determine dam site suitability evaluation indicators based on channel basic data; quantify and grade each dam site suitability evaluation indicator, determine the corresponding weight, and construct a dam site suitability evaluation indicator system; the dam site suitability evaluation indicators include: terrain condition indicators, soil condition indicators, hydrological condition indicators, and land use indicators; Dividing the target channel to obtain multiple channel segments; Use the dam site suitability evaluation index system to evaluate each channel section and determine the potential dam site based on the evaluation results; Based on the potential dam site, a multi-objective optimization model is established that takes into account sediment retention benefits, siltation area, dam stability, and project investment; Based on the multi-objective optimization model, the dam site layout plan of the silt dam is determined.

2. The method for optimizing the site selection and layout of channel silt dams in semi-arid areas according to claim 1, characterized in that: Each dam site suitability evaluation index is graded and quantified, and the corresponding weight is determined to construct a dam site suitability evaluation index system, which specifically includes: The analytic hierarchy process or expert scoring method is used to determine the weight corresponding to each graded and quantified dam site suitability evaluation index.

3. The method for optimizing the site selection and layout of channel silt dams in semi-arid areas according to claim 1, characterized in that: The target channel is divided into multiple channel segments, specifically including: The target channel is divided into multiple channel segments using geographic information system technology.

4. The method for optimizing the site selection and layout of channel silt dams in semi-arid areas according to claim 1, characterized in that: Each channel section is evaluated using the dam site suitability evaluation index system, including: Using the formula Determine the evaluation results corresponding to each channel section; Among them, S is the comprehensive score of dam site suitability and is used as the evaluation result, w i is the weight of the suitability evaluation index of the i-th dam site, x i is the quantitative value of the i-th dam site suitability evaluation index, and n is the number of dam site suitability evaluation indexes.

5. The method for optimizing the site selection and layout of channel silt dams in semi-arid areas according to claim 1, characterized in that: The multi-objective optimization model specifically includes: Using the formula Determine the sediment interception benefit objective function Q s Among them, Q in,t is the inflow during period t, Q out,t is the outflow during period t, λ is the sedimentation coefficient, T is the total period, and e is the natural logarithm; Using the formula Determine the objective function A of silted land area yudi ;W(h) is the sedimentation width corresponding to different dam heights h, and H is the total dam height; Using the formula C=C base +C height ·h+C lenght L determines the project investment objective function C; where C base As the basic cost, C height is the unit height cost, C lenght is the cost per unit length, L is the total length; Using the formula Determine the dam spacing constraints and use the formula Determine the dam height constraint; where D is the dam spacing, Q is the design flow, g is the acceleration of gravity, A is the cross-sectional area of ​​the water flow, ΔS is the longitudinal slope, and H max is the maximum elevation of the terrain, μ is the safety factor, and θ is the channel slope.

6. The method for optimizing the site selection and layout of channel silt dams in semi-arid areas according to claim 1, characterized in that: The dam site layout plan of the check dam is determined based on the multi-objective optimization model, including: Based on the multi-objective optimization model, a genetic algorithm or a particle swarm optimization algorithm is used to determine the dam site layout plan of the silt dam; the dam site layout plan includes the specific location, height and type of the dam site of each silt dam.

7. A system for optimizing the site selection and layout of channel silt dams in semi-arid areas, characterized by: The system for optimizing the site selection and layout of gully check dams in semi-arid areas includes: A data acquisition module is used to acquire basic channel data of a target channel in a semi-arid area; the basic channel data includes topographic data, soil data, hydrological data, and surrounding land use status data; An indicator system construction module is used to determine dam site suitability evaluation indicators based on channel basic data; each dam site suitability evaluation indicator is graded and quantified, and the corresponding weight is determined to construct a dam site suitability evaluation indicator system; the dam site suitability evaluation indicators include: terrain condition indicators, soil condition indicators, hydrological condition indicators, and land use indicators; A channel division module is used to divide the target channel into multiple channel segments; The potential dam site determination module is used to evaluate each channel section using the dam site suitability evaluation index system and determine the potential dam site based on the evaluation results; A multi-objective optimization model building module is used to establish a multi-objective optimization model based on potential dam sites, taking into account sediment retention benefits, siltation area, dam stability, and project investment; The dam site layout scheme determination module is used to determine the dam site layout scheme of the silt dam based on the multi-objective optimization model.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for optimizing the site selection and layout of channel silt dams in semi-arid areas according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for optimizing the site selection and layout of channel check dams in semi-arid areas according to any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for optimizing the site selection and layout of channel check dams in semi-arid areas according to any one of claims 1 to 6 is implemented.

Images