Slope vegetation recovery matched planting method and system after disturbance of hydropower engineering

Abstract

The invention relates to the technical field of vegetation restoration, in particular to a slope vegetation restoration matched planting method and system after disturbance of hydropower engineering. The method comprises the following steps: setting a plurality of vegetation restoration matching planting schemes based on matching planting scheme factors, and recording test data of the vegetation restoration matching planting schemes; constructing a vegetation recovery evaluation system, and based on the test data, utilizing the vegetation recovery evaluation system to evaluate the vegetation recovery matched planting scheme; the evaluation result is analyzed, and the collaborative importance among the matched planting scheme factors in all the vegetation recovery matched planting schemes is obtained; and performing scheme simulation according to the vegetation recovery matched planting scheme to obtain a plurality of vegetation recovery simulated matched planting schemes, and obtaining an optimal vegetation recovery matched planting scheme in combination with the collaborative importance and the vegetation recovery simulated matched planting schemes. According to the method, the problem of efficiently obtaining a slope vegetation recovery matched planting scheme is solved, and the development of hydropower engineering disturbance slope restoration work is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of vegetation restoration, and particularly relates to a method and system for restoring and planting slope vegetation after disturbance by hydropower projects. Background Art

[0002] Vegetation is an important type in the ecosystem and has important ecological functions such as maintaining biodiversity, maintaining the earth's water cycle and gas balance. People have begun to take various measures to restore vegetation, and the main measure is to establish artificial near-natural plant communities. However, establishing artificial near-natural plant communities requires a slope vegetation restoration and planting plan suitable for the actual situation. Therefore, for the slopes disturbed by hydropower projects, how to carry out vegetation planting is an urgent problem to be solved at present.

[0003] The disturbance of hydropower projects refers to various impacts and changes on the natural environment and social environment during the construction and operation of hydropower projects. During the construction of hydropower projects, significant disturbance impacts will be imposed on slopes, mainly including: Vegetation degradation. During project construction, earth and stone material extraction, etc., cause the vegetation and soil on the slope surface to be stripped, destroying the original vegetation and its growth environment.

[0004] Destruction of species diversity. After the vegetation and soil are damaged, the community structure becomes single, thereby destroying the species diversity.

[0005] Accelerated soil erosion and landslides. The disturbed slopes lack the nutrients required for plant growth, and it is difficult for the community itself to restore the original vegetation, resulting in further degradation of the ecological environment, such as causing a large number of landslides and soil erosion.

[0006] Landscape damage. Infrastructure construction destroys the integrity of the regional landscape, and site occupation and building construction destroy the coordination of the landscape. Summary of the Invention

[0007] In view of the deficiencies of the existing methods and the requirements of practical applications, on the one hand, the present invention provides a method for restoring and planting slope vegetation after disturbance by hydropower projects, including the following steps: Set multiple vegetation restoration and planting plans based on planting plan factors, and record the test data of the vegetation restoration and planting plans; construct a vegetation restoration evaluation system, and based on the test data, evaluate the vegetation restoration and planting plans using the vegetation restoration evaluation system; analyze the evaluation results to obtain the collaborative importance among the planting plan factors in each vegetation restoration and planting plan; perform plan simulation according to the vegetation restoration and planting plans to obtain multiple vegetation restoration simulation planting plans, and combine the collaborative importance and the vegetation restoration simulation planting plans to obtain the optimal vegetation restoration and planting plan.

[0008] By analyzing the test data of a small number of actual vegetation restoration planting schemes, the present invention obtains the collaborative importance among the planting scheme factors in the vegetation restoration planting scheme, and then screens the optimal scheme in the vegetation restoration simulation planting scheme according to the collaborative importance, solving the problem of efficiently obtaining the slope vegetation restoration planting scheme, being able to select plants suitable for growing on the disturbed slopes of hydropower projects to accelerate the slope succession process, providing important theoretical basis and technical guidance for the vegetation restoration and reconstruction and ecological function improvement of the disturbed slopes of hydropower projects in alpine and arid environments, and further being beneficial to maintaining the stability of natural vegetation and establishing a stable artificial vegetation community.

[0009] Optionally, the construction of the vegetation restoration evaluation system includes the following steps: Establish an evaluation function for the criterion layer; perform weighted processing on the evaluation function of the criterion layer to obtain the evaluation function of the target layer. The vegetation restoration evaluation system constructed by the present invention includes a target layer, a criterion layer, and an index layer, which can comprehensively and scientifically evaluate the vegetation restoration planting scheme, facilitating further analysis in subsequent steps based on the evaluation results and improving the accuracy of the present invention.

[0010] Optionally, the analysis of the evaluation results to obtain the collaborative importance among the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps: Analyze according to the evaluation results of the criterion layer to obtain the criterion layer collaborative importance among the planting scheme factors in each of the vegetation restoration planting schemes; analyze according to the evaluation results of the target layer to obtain the target layer collaborative importance among the planting scheme factors in each of the vegetation restoration planting schemes. The present invention respectively obtains the collaborative importance of the planting scheme factors corresponding to each layer according to the evaluation results of the criterion layer and the target layer, which is further beneficial to accurately evaluating the vegetation restoration simulation planting scheme in subsequent steps.

[0011] Optionally, the analysis according to the evaluation results of the criterion layer to obtain the criterion layer collaborative importance among the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps: Sort the vegetation restoration planting schemes from low to high according to the evaluation results of the criterion layer; evaluate the coincidence degree of the planting scheme factors among the vegetation restoration planting schemes; combine the sorting results and the coincidence degree to obtain the criterion layer collaborative importance of the planting scheme factors.

[0012] Optionally, the combination of the sorting results and the coincidence degree to obtain the criterion layer collaborative importance of the planting scheme factors satisfies the following formula: , where represents the criterion layer collaborative importance of the th planting scheme factor, Represents the overlap degree of the th planting scheme factor, represents the number of vegetation restoration planting schemes containing the th planting scheme factor, represents the ranking of the th vegetation restoration planting scheme containing the th planting scheme factor, represents the number of vegetation restoration planting schemes, represents the highest score of the criterion layer corresponding to the vegetation restoration planting scheme, represents the average score of the criterion layer corresponding to the vegetation restoration planting scheme. The present invention objectively and clearly represents the effect of the planting scheme factor on the vegetation restoration planting scheme by using the collaborative importance of the criterion layer, which is beneficial to accurately evaluating the vegetation restoration planting scheme of the present invention.

[0013] Optionally, the analysis based on the evaluation result of the target layer to obtain the target layer collaborative importance among the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps: Evaluate the similarity of the vegetation restoration planting schemes; combine the evaluation result of the target layer and the similarity to obtain the target layer collaborative importance of the planting scheme factors.

[0014] Optionally, the combination of the evaluation result of the target layer and the similarity to obtain the target layer collaborative importance of the planting scheme factors satisfies the following formula: , where represents the target layer collaborative importance of the th planting scheme factor, represents the number of vegetation restoration planting schemes, represents the th vegetation restoration planting scheme and the th vegetation restoration planting scheme similarity, represents the evaluation result of the target layer of the th vegetation restoration planting scheme, represents the evaluation result of the target layer of the th vegetation restoration planting scheme, represents the th planting scheme factor judgment factor, when the th vegetation restoration planting scheme and the th vegetation restoration planting scheme both contain the th planting scheme factor, then , otherwise , represents containing the The number of vegetation restoration planting schemes for each planting scheme factor. The present invention utilizes the similarity of the vegetation restoration planting schemes and the evaluation results of the target layer, and evaluates based on the vegetation restoration planting schemes with and without planting scheme factors, and the obtained collaborative importance of the target layer is beneficial to screening the optimal vegetation restoration planting scheme.

[0015] Optionally, the scheme simulation is performed according to the vegetation restoration planting scheme to obtain a plurality of vegetation restoration simulation planting schemes, including the following steps: Construct a vegetation restoration planting scheme simulation model; encode according to the vegetation restoration planting scheme, combine the encoding result and the vegetation restoration planting scheme to construct a planting scheme data set, and train and verify the vegetation restoration planting scheme simulation model through the planting scheme data set; disrupt the encoding result, and based on the disrupted encoding result, use the trained vegetation restoration planting scheme simulation model to obtain a plurality of vegetation restoration simulation planting schemes. The present invention can comprehensively cover various planting schemes by using the existing scheme for encoding training and then obtaining a large number of vegetation restoration planting scheme simulation schemes represented by random codes, which is further beneficial to improving the accuracy of the present invention.

[0016] Optionally, the combination of the collaborative importance and the vegetation restoration simulation planting scheme to obtain the optimal vegetation restoration planting scheme includes the following steps: Obtain the criterion layer collaborative importance score of the vegetation restoration simulation planting scheme according to the criterion layer collaborative importance of the planting scheme factor in the vegetation restoration simulation planting scheme; obtain the target layer collaborative importance score of the vegetation restoration simulation planting scheme through the target layer collaborative importance of the planting scheme factor in the vegetation restoration simulation planting scheme; combine the criterion layer collaborative importance score and the criterion layer weight in the vegetation restoration evaluation system to obtain the target layer collaborative importance simulation score; compare the ratio of the target layer collaborative importance simulation score and the target layer collaborative importance score, and use the vegetation restoration simulation planting scheme corresponding to the ratio closest to 1 as the optimal vegetation restoration planting scheme. The present invention constructs two target layer collaborative importance scores and determines the optimal vegetation restoration planting scheme according to their proximity, which is beneficial to quickly and accurately obtaining the optimal vegetation restoration planting scheme among many schemes and improving the efficiency of the present invention.

[0017] Second aspect, to efficiently execute a vegetation restoration and planting method for slopes after disturbance in hydropower projects provided by the present invention, the present invention also provides a vegetation restoration and planting system for slopes after disturbance in hydropower projects, including a processor, an input device, an output device, and a memory. The processor, the input device, the output device, and the memory are interconnected. Among them, the memory is used to store a computer program, the computer program contains program instructions, and the processor is configured to call the program instructions to execute a vegetation restoration and planting method for slopes after disturbance in hydropower projects as described in the first aspect of the present invention. The vegetation restoration and planting system for slopes after disturbance in hydropower projects of the present invention has a compact structure and stable performance, and can stably execute a vegetation restoration and planting method for slopes after disturbance in hydropower projects provided by the present invention, further enhancing the overall applicability and practical application ability of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flowchart of a vegetation restoration and planting method for slopes after disturbance in hydropower projects provided by an embodiment of the present invention; Figure 2 It is a framework diagram of a vegetation restoration and planting system for slopes after disturbance in hydropower projects provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described here are only for illustrative purposes and are not used to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that the present invention does not have to be practiced with these specific details. In other instances, well-known circuits, software, or methods have not been specifically described in order to avoid obscuring the present invention.

[0020] Throughout the specification, references to "one embodiment", "an embodiment", "an example", or "an example" mean that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in at least one embodiment of the present invention. Thus, the phrases "in one embodiment", "in an embodiment", "an example", or "an example" appearing throughout the specification do not necessarily all refer to the same embodiment or example. Additionally, the particular features, structures, or characteristics may be combined in any suitable combination and / or sub-combination in one or more embodiments or examples. Moreover, those of ordinary skill in the art should understand that the drawings provided herein are for illustrative purposes only and are not necessarily drawn to scale.

[0021] Please refer to Figure 1 , for the slopes after disturbance in hydropower projects, to solve the problem of how to perform vegetation planting, the present invention provides a vegetation restoration and planting method for slopes after disturbance in hydropower projects, as Figure 1As shown, in one embodiment, the method includes the following steps: S1. Set multiple vegetation restoration planting schemes based on the planting scheme factors, and record the test data of the vegetation restoration planting schemes.

[0022] Specifically, setting multiple vegetation restoration planting schemes based on the planting scheme factors includes: According to the ecological principle, the principle of plant stress resistance, the principle of priority of pioneer plants, the principle of biodiversity, and the principle of rationality of plant configuration, select a suitable research area on the disturbed slope of the hydropower project. Level the slope surface and remove sundries. According to the classification of slopes by the Commission on Geomorphological Survey and Cartography of the International Geographical Society, divide the leveled area into gentle slopes, steep slopes, and extremely steep slopes. The specification of each plot is 2 m × 4 m. Set a control area for each type, and set multiple planting patterns for different levels of slopes respectively. Randomly plant different patterns in each plot, supplement water in time and remove weeds. After the plants grow, measure the morphological indexes of the plants, such as height, coverage, and aboveground biomass, at regular intervals, and collect soil samples regularly for determination of physical and chemical properties.

[0023] In the embodiment, a three-dimensional vegetation net can also be used. The main consideration is that in the areas of steep slopes and extremely steep slopes, the soil is relatively loose and is easily eroded by rainwater, resulting in a low germination rate of plant seeds. Therefore, divide the plots with the same sowing pattern at the same slope into two methods: using a three-dimensional vegetation net and not using a three-dimensional vegetation net, so as to investigate the growth differences of plants and the differences in substrate properties between the two methods.

[0024] The planting scheme factors are the variables of the vegetation restoration planting schemes, including but not limited to plant species, planting methods, and planting densities. Further, when setting multiple vegetation restoration planting schemes based on the planting scheme factors, it is necessary to consider the planting scheme factors evenly to ensure that the test data is not affected by errors.

[0025] Further, record the test data of the vegetation restoration planting schemes, including soil data such as soil type, texture, pH value, nutrient content, organic matter content, etc., and vegetation growth data, including the types and quantities of various vegetation planted in the test area, as well as their distribution, configuration, and growth conditions. The growth conditions include the height, crown width, leaf area index, biomass, etc. of the vegetation.

[0026] S2. Construct a vegetation restoration evaluation system, and based on the test data, evaluate the vegetation restoration planting schemes using the vegetation restoration evaluation system.

[0027] In this embodiment, the vegetation restoration evaluation system includes an objective layer, a criterion layer, and an index layer.

[0028] Specifically, the construction of the vegetation restoration evaluation system includes the following steps: S21. Establish an evaluation function for the criterion layer.

[0029] In view of the characteristics of alpine, arid, and serious soil erosion in the disturbed slopes of hydropower projects, the criterion layer of the present invention includes criterion layer indicators such as community structure, community function, stress resistance, biological characteristics, economic value, and landscape value. Further, for each criterion layer indicator, an evaluation function is established based on the existing evaluation criteria and the corresponding index layer.

[0030] Exemplarily, for the community structure indicator among the criterion layer indicators, its corresponding index layer includes species composition, species richness, species diversity, population distribution pattern, vertical stratification, and horizontal pattern in the community. Further, the species list is investigated by the quadrat method, transect method, or remote sensing technology, and the Shannon-Wiener index and Simpson index are calculated as the diversity indicators in the index layer corresponding to the community structure criterion layer indicator; the horizontal distribution of the community (such as the degree of patchiness) is analyzed by using GIS (Geographic Information System) and remote sensing, and the vertical stratification indicator in the index layer corresponding to the community structure criterion layer indicator is analyzed through on-site measurement.

[0031] In the fields of ecology, environmental science, agricultural science, vegetation restoration, etc., the evaluation of indicators such as community structure, community function, stress resistance, biological characteristics, economic value, and landscape value has been widely applied, which belongs to the scope of the prior art and will not be elaborated in this application.

[0032] S22. Perform a weighting process on the evaluation function of the criterion layer to obtain the evaluation function of the target layer.

[0033] Specifically, the weights of the evaluation functions of each criterion layer are determined by the method of expert discussion, and then the evaluation function of the target layer is obtained by combining the weights.

[0034] In this embodiment, the evaluation function of the target layer satisfies the following formula: , where represents the score of the target layer, represents the number of evaluation functions of the criterion layer, represents the weight of the th evaluation function of the criterion layer, represents the th evaluation function of the criterion layer, and

[0035] S3. Analyze the evaluation results to obtain the co-importance among the planting scheme factors in each of the vegetation restoration planting schemes.

[0036] In the embodiment, the analysis of the evaluation results in step S3 to obtain the co-importance among the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps: S31. Analyze based on the evaluation results of the criterion layer to obtain the criterion layer collaborative importance among the planting scheme factors in each of the vegetation restoration planting schemes.

[0037] Further, the analyzing based on the evaluation results of the criterion layer to obtain the criterion layer collaborative importance among the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps: S311. Sort the vegetation restoration planting schemes from low to high according to the evaluation results of the criterion layer.

[0038] For each evaluation function of the criterion layer, evaluate the vegetation restoration planting schemes to obtain the evaluation values corresponding to the evaluation functions of the criterion layer. According to the magnitudes of these evaluation values, sort the vegetation restoration planting schemes from low to high. It should be understood that the lower the evaluation value, the higher the ranking, and the worse the represented vegetation restoration planting scheme; the higher the evaluation value, the lower the ranking, and the better the represented vegetation restoration planting scheme.

[0039] S312. Evaluate the overlap degree of the planting scheme factors among the vegetation restoration planting schemes.

[0040] In this embodiment, the overlap degree refers to the frequency of occurrence of the planting scheme factors in other vegetation restoration planting schemes. Further, the overlap degree satisfies the following formula: , where represents the overlap degree of the th planting scheme factor, represents the number of times the th planting scheme factor appears in other vegetation restoration planting schemes, represents the number of vegetation restoration planting schemes.

[0041] S313. Combine the sorting results and the overlap degree to obtain the criterion layer collaborative importance of the planting scheme factors.

[0042] Specifically, the combining the sorting results and the overlap degree to obtain the criterion layer collaborative importance of the planting scheme factors satisfies the following formula: , where represents the criterion layer collaborative importance of the th planting scheme factor, represents the overlap degree of the th planting scheme factor, represents the number of vegetation restoration planting schemes containing the th planting scheme factor, represents the th vegetation restoration planting scheme containing the The ranking of the vegetation restoration planting plans represents the number of vegetation restoration planting plans represents the highest score of the vegetation restoration planting plan corresponding to the criterion layer represents the average score of the vegetation restoration planting plan corresponding to the criterion layer

[0043] S32. Analyze according to the evaluation results of the target layer to obtain the target layer collaborative importance among the planting plan factors in each of the vegetation restoration planting plans

[0044] In the embodiment, the analyzing according to the evaluation results of the target layer to obtain the target layer collaborative importance among the planting plan factors in each of the vegetation restoration planting plans includes the following steps S321. Evaluate the similarity of the vegetation restoration planting plans

[0045] Specifically, use the Jaccard similarity coefficient algorithm to obtain the similarity between the vegetation restoration planting plans according to the vegetation restoration planting plans

[0046] The Jaccard similarity coefficient algorithm is an important index for measuring the similarity of two sets. In some other embodiments, methods such as the overlap coefficient method, cosine similarity method, and set similarity measurement method can also be used to evaluate the similarity of the vegetation restoration planting plans

[0047] S322. Combine the evaluation results of the target layer and the similarity to obtain the target layer collaborative importance of the planting plan factors

[0048] Specifically, the combining the evaluation results of the target layer and the similarity to obtain the target layer collaborative importance of the planting plan factors satisfies the following formula , where represents the target layer collaborative importance of the th planting plan factor represents the number of vegetation restoration planting plans represents the th vegetation restoration planting plan and the th vegetation restoration planting plan similarity represents the th vegetation restoration planting plan evaluation result of the target layer represents the th vegetation restoration planting plan evaluation result of the target layer represents the th planting plan factor judgment factor. When the th vegetation restoration planting plan and the Each vegetation restoration planting plan contains the planting plan factors, then otherwise , represents the number of vegetation restoration planting plans containing the planting plan factors.

[0049] S4. Perform scenario simulation according to the vegetation restoration planting plan to obtain multiple vegetation restoration simulation planting plans, and combine the collaborative importance and the vegetation restoration simulation planting plans to obtain the optimal vegetation restoration planting plan.

[0050] Specifically, the performing scenario simulation according to the vegetation restoration planting plan to obtain multiple vegetation restoration simulation planting plans includes the following steps: S41. Construct a vegetation restoration planting plan simulation model.

[0051] In the embodiment, a vegetation restoration planting plan simulation model is established with a learning model. The learning model is a theoretical framework or tool between a rational choice model and a rule-based model, including neural networks and machine learning models, etc. The vegetation restoration planting plan simulation model established through the learning model can quickly simulate and generate more vegetation restoration simulation planting plans.

[0052] Specifically, according to the selected learning model type, use tools such as Python (Scikit-learn, TensorFlow, PyTorch libraries), R language, etc. to write code to implement the construction of the vegetation restoration planting plan simulation model. For example, use the Scikit-learn library to construct a random forest model and define hyperparameters such as the number of decision trees and the maximum depth; use TensorFlow to build a neural network model and design structural parameters such as the number of network layers and the number of neurons.

[0053] S42. Encode according to the vegetation restoration planting plan, combine the encoding results and the vegetation restoration planting plan to construct a planting plan data set, and train and verify the vegetation restoration planting plan simulation model through the planting plan data set.

[0054] Specifically, encode each planting plan factor in the vegetation restoration planting plan, and then combine the encoding results and the vegetation restoration planting plan to construct a planting plan data set, and split it into a training set and a test set according to a certain ratio, and then train and verify the vegetation restoration planting plan simulation model. By adjusting hyperparameters (such as the number of trees in the random forest, the learning rate of the neural network, etc.), make the vegetation restoration planting plan simulation model achieve the best performance on the test set. Adopt a cross-validation method (such as K-fold cross-validation) to improve the stability and generalization ability of model training.

[0055] S43. Disrupt the encoding result, and based on the disrupted encoding result, use the trained vegetation restoration planting plan simulation model to obtain multiple vegetation restoration simulation planting plans.

[0056] Randomly disrupt the encoding result to obtain a large number of disrupted encoding results, and then input them into the trained vegetation restoration planting plan simulation model to obtain multiple vegetation restoration simulation planting plans.

[0057] Further, combining the collaborative importance and the vegetation restoration simulation planting plan to obtain the optimal vegetation restoration planting plan includes the following steps: S44. According to the criterion layer collaborative importance of the planting plan factors in the vegetation restoration simulation planting plan, obtain the criterion layer collaborative importance score of the vegetation restoration simulation planting plan.

[0058] Specifically, based on each vegetation restoration simulation planting plan, for each criterion layer evaluation function, use the criterion layer collaborative importance of the planting plan factors to obtain the criterion layer collaborative importance score of the corresponding vegetation restoration simulation planting plan.

[0059] Further, using the criterion layer collaborative importance of the planting plan factors to obtain the criterion layer collaborative importance score of the corresponding vegetation restoration simulation planting plan satisfies the following formula: , where represents the criterion layer collaborative importance score of the vegetation restoration simulation planting plan, represents the number of planting plan factors in the vegetation restoration simulation planting plan, represents the th criterion layer collaborative importance of the planting plan factor.

[0060] It should be understood that the criterion layer collaborative importance of the planting plan factors in the vegetation restoration simulation planting plan can be obtained by linear fitting of the criterion layer collaborative importance of the planting plan factors in different vegetation restoration planting plans.

[0061] S45. Through the target layer collaborative importance of the planting plan factors in the vegetation restoration simulation planting plan, obtain the target layer collaborative importance score of the vegetation restoration simulation planting plan.

[0062] Specifically, based on each vegetation restoration simulation planting plan, for each target layer evaluation function, use the target layer collaborative importance of the planting plan factors to obtain the target layer collaborative importance score of the corresponding vegetation restoration simulation planting plan.

[0063] Further, using the target layer collaborative importance of the planting plan factors to obtain the target layer collaborative importance score of the corresponding vegetation restoration simulation planting plan satisfies the following formula: , where represents the target layer collaborative importance score of the vegetation restoration simulation planting plan, represents the number of planting plan factors in the vegetation restoration simulation planting plan, represents the th target layer collaborative importance of the planting plan factor.

[0064] It should be understood that the target layer collaborative importance of the planting plan factors in the vegetation restoration simulation planting plan can be obtained by linear fitting of the target layer collaborative importance of the planting plan factors in different vegetation restoration planting plans.

[0065] S46. Combine the criterion layer collaborative importance score and the criterion layer weight in the vegetation restoration evaluation system to obtain the target layer collaborative importance simulation score.

[0066] Specifically, combining the criterion layer collaborative importance score and the criterion layer weight in the vegetation restoration evaluation system to obtain the target layer collaborative importance simulation score satisfies the following formula: , where represents the target layer collaborative importance simulation score, represents the number of criterion layer evaluation functions, represents the th weight of the criterion layer evaluation function, represents the th criterion layer collaborative importance score.

[0067] S47. Compare the ratio of the target layer collaborative importance simulation score and the target layer collaborative importance score, and take the vegetation restoration simulation planting plan corresponding to the ratio closest to 1 as the optimal vegetation restoration planting plan.

[0068] In the embodiment, calculate the ratio of the target layer collaborative importance simulation score and the target layer collaborative importance score of all vegetation restoration simulation planting plans, compare the ratio results, and take the vegetation restoration simulation planting plan corresponding to the ratio closest to 1 as the optimal vegetation restoration planting plan.

[0069] Please refer to Figure 2, in an embodiment, to efficiently execute a method for vegetation restoration and planting on a slope disturbed by a hydropower project provided by the present invention, the present invention further provides a system for vegetation restoration and planting on a slope disturbed by a hydropower project, including: an input device, an output device, a processor, and a memory. The input device, the output device, the processor, and the memory are interconnected. The memory contains program instructions for the steps of the method for vegetation restoration and planting on a slope disturbed by a hydropower project. The system for vegetation restoration and planting on a slope disturbed by a hydropower project of the present invention has a compact structure and stable performance, and can stably execute the method for vegetation restoration and planting on a slope disturbed by a hydropower project of the present invention, further improving the overall applicability and practical application ability of the present invention.

[0070] In an embodiment, the so-called processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The input device may be used to obtain data information. The output device may be used to output the result obtained from the program instructions included in the computer program stored in the memory provided by the present invention. The memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A part of the memory may also include a non-volatile random access memory.

[0071] In a possible implementation, the memory may include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function, etc.; the data storage area may store the data created during use. In addition, the memory may include a read-only memory and a random access memory, and provide instructions and data to the processor. A part of the memory may also include NVRAM. The memory stores an operating system and operation instructions, executable modules, or data structures, or subsets thereof, or extended sets thereof. Among them, the operation instructions may include various operation instructions for implementing various operations. The operating system may include various system programs for implementing various basic tasks and processing hardware-based tasks.

[0072] In an embodiment, a storage medium is further provided. A computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the above-mentioned method for vegetation restoration and planting on the slope after disturbance in a hydropower project are implemented.

[0073] The storage medium may include: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc.

[0074] In summary, by analyzing the test data of a small number of actual vegetation restoration and planting schemes, the present invention obtains the collaborative importance among the planting scheme factors in the vegetation restoration and planting scheme, and then screens the optimal scheme in the vegetation restoration simulation planting scheme according to the collaborative importance, solves the problem of efficiently obtaining the vegetation restoration and planting scheme for the slope, can select plants suitable for the growth of the disturbed slope in the hydropower project to accelerate the slope succession process, provides an important theoretical basis and technical guidance for the vegetation restoration and reconstruction and ecological function improvement of the disturbed slope in the hydropower project in the alpine and arid environment, and further helps to maintain the stability of natural vegetation and establish a stable artificial vegetation community.

[0075] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered by the scope described in the present invention.

Claims

1. A method for restoring vegetation on slopes after disturbance of hydropower projects, characterized in that: The method for restoring vegetation on slopes after disturbance of hydropower projects comprises the following steps: Setting a plurality of vegetation restoration planting schemes based on the planting scheme factors, and recording test data of the vegetation restoration planting schemes; Constructing a vegetation restoration evaluation system, and based on the test data, using the vegetation restoration evaluation system to evaluate the vegetation restoration planting plan; Analyze the evaluation results to obtain the synergistic importance between the planting scheme factors in each of the vegetation restoration planting schemes; A scheme simulation is performed according to the vegetation restoration planting scheme to obtain multiple vegetation restoration simulation planting schemes, and the optimal vegetation restoration planting scheme is obtained by combining the synergistic importance and the vegetation restoration simulation planting scheme.

2. The method for restoring vegetation on slopes after disturbance of hydropower projects according to claim 1 is characterized in that: The construction of the vegetation restoration evaluation system comprises the following steps: Establish the evaluation function of the criterion layer; The evaluation function of the criterion layer is weighted to obtain the evaluation function of the target layer.

3. The method for restoring vegetation on slopes after disturbance of hydropower projects according to claim 1 is characterized in that: The step of analyzing the evaluation results to obtain the synergistic importance between the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps: Analyze the evaluation results of the criterion layer to obtain the criterion layer synergistic importance between the planting scheme factors in each of the vegetation restoration planting schemes; An analysis is performed based on the evaluation results of the target layer to obtain the target layer synergistic importance between the planting scheme factors in each of the vegetation restoration planting schemes.

4. The method for restoring vegetation on slopes after disturbance of hydropower projects according to claim 3 is characterized in that: The step of analyzing the evaluation results of the criterion layer to obtain the criterion layer synergistic importance between the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps: According to the evaluation results of the criterion layer, the vegetation restoration and planting schemes are ranked from low to high; Evaluating the overlap of the planting scheme factors between the vegetation restoration planting schemes; The ranking result and the overlap are combined to obtain the criterion-level collaborative importance of the implantation scheme factors.

5. The method for restoring vegetation on slopes after disturbance of hydropower projects according to claim 4 is characterized in that: The combined sorting result and the overlap degree are used to obtain the criterion-level synergistic importance of the planting scheme factors, which satisfies the following formula: ,in, Indicates The criterion-level synergistic importance of each implantation factor, Indicates The overlap of the factors of the planting schemes, Indicates that it contains The number of vegetation restoration planting plans for each planting plan factor, Indicates that it contains The first factor of the implantation scheme Ranking of vegetation restoration and planting plans, Indicates the number of vegetation restoration planting plans, It indicates the highest score of the vegetation restoration and planting scheme corresponding to the criterion layer. It represents the average score of the vegetation restoration planting scheme corresponding to the criterion layer.

6. The method for restoring vegetation on slopes after disturbance of hydropower projects according to claim 3 is characterized in that: The step of analyzing the evaluation results of the target layer to obtain the target layer synergy importance between the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps: Assess the similarity of the vegetation restoration planting schemes; The target layer synergistic importance of the implantation scheme factors is obtained by combining the evaluation result of the target layer and the similarity.

7. The method for restoring vegetation on slopes after disturbance of hydropower projects according to claim 6 is characterized in that: The target layer synergy importance of the implantation scheme factor is obtained by combining the evaluation result of the target layer and the similarity, which satisfies the following formula: ,in, Indicates The target layer synergistic importance of each planting scheme factor, Indicates the number of vegetation restoration planting plans, Indicates The first vegetation restoration planting plan and the The similarity of the vegetation restoration planting schemes is Indicates The evaluation results of the target layer of the vegetation restoration planting plan are as follows: Indicates The evaluation results of the target layer of the vegetation restoration planting plan are as follows: Indicates The judgment factor of the implantation plan factor is The first vegetation restoration planting plan and the Each vegetation restoration and planting plan includes The planting scheme factor is ,otherwise , Indicates that it contains The number of vegetation restoration planting plans for each planting plan factor.

8. The method for restoring vegetation on slopes after disturbance of hydropower projects according to claim 1 is characterized in that: The method of performing a scheme simulation according to the vegetation restoration planting scheme to obtain a plurality of vegetation restoration simulation planting schemes comprises the following steps: Construct a simulation model for vegetation restoration and planting scheme; Encoding is performed according to the vegetation restoration and planting scheme, and a planting scheme data set is constructed by combining the encoding result and the vegetation restoration and planting scheme, and a vegetation restoration and planting scheme simulation model is trained and verified by the planting scheme data set; The encoding result is disturbed, and based on the disturbed encoding result, a plurality of vegetation restoration simulation planting schemes are obtained using a trained vegetation restoration planting scheme simulation model.

9. The method for restoring vegetation on slopes after disturbance of hydropower projects according to claim 1, characterized in that: The step of combining the synergistic importance with the vegetation restoration simulation planting plan to obtain an optimal vegetation restoration planting plan includes the following steps: According to the criterion layer synergistic importance of the planting scheme factors in the vegetation restoration simulation planting scheme, a criterion layer synergistic importance score of the vegetation restoration simulation planting scheme is obtained; Obtaining a target layer synergistic importance score of the vegetation restoration simulation planting scheme through the target layer synergistic importance of the planting scheme factors in the vegetation restoration simulation planting scheme; Combining the criterion layer collaborative importance score and the criterion layer weight in the vegetation restoration evaluation system, obtaining a target layer collaborative importance simulation score; The ratio of the target layer collaborative importance simulation score to the target layer collaborative importance score is compared, and the vegetation restoration simulation planting scheme corresponding to the ratio closest to 1 is taken as the optimal vegetation restoration planting scheme.

10. A system for restoring vegetation on slopes after disturbance of hydropower projects, characterized in that: The system for restoring vegetation on slopes after disturbance of hydropower projects comprises: an input device, an output device, a processor, and a memory, wherein the input device, the output device, the processor, and the memory are interconnected, and the memory comprises program instructions, and the program instructions are used to execute the method for restoring vegetation on slopes after disturbance of hydropower projects as described in any one of claims 1 to 9.

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