A method and system for vegetation restoration and planting of slopes disturbed by hydropower projects

Abstract

The present invention relates to the technical field of vegetation restoration, and particularly relates to a method and system for vegetation restoration and planting on slopes disturbed by hydropower projects. The method includes the following steps: setting a plurality of vegetation restoration and planting schemes based on planting scheme factors, and recording the test data of the vegetation restoration and planting schemes; constructing a vegetation restoration evaluation system, and evaluating the vegetation restoration and planting schemes by using the vegetation restoration evaluation system based on the test data; analyzing the evaluation results to obtain the collaborative importance among the planting scheme factors in each of the vegetation restoration and planting schemes; performing scheme simulation according to the vegetation restoration and planting schemes to obtain a plurality of vegetation restoration simulation planting schemes, and combining the collaborative importance and the vegetation restoration simulation planting schemes to obtain an optimal vegetation restoration and planting scheme. The present invention solves the problem of efficiently obtaining the vegetation restoration and planting scheme for slopes, and is beneficial to the development of the restoration work for slopes disturbed by hydropower projects.

Description

Technical Field

[0001] The present invention relates to the technical field of vegetation restoration, and particularly 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 process of hydropower projects, significant disturbance impacts will be generated on the slopes, mainly including:

[0004] Vegetation degradation, during engineering construction, earth and stone material extraction, etc., the vegetation and soil on the slope surface are peeled off, destroying the original vegetation and its growth environment.

[0005] Destruction of species diversity, after the vegetation and soil are damaged, the community structure becomes single, and then the diversity of species is destroyed.

[0006] 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.

[0007] 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

[0008] 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:

[0009] Set multiple vegetation restoration and planting plans based on the planting plan factors, and record the test data of the vegetation restoration and planting plans; construct a vegetation restoration evaluation system, and evaluate the vegetation restoration and planting plans using the vegetation restoration evaluation system based on the test data; analyze the evaluation results to obtain the synergistic importance between 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 synergistic importance and the vegetation restoration simulation planting plans to obtain the optimal vegetation restoration and planting plan.

[0010] 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 the growth of 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.

[0011] Optionally, the construction of the vegetation restoration evaluation system includes the following steps:

[0012] 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, scientifically, and reasonably evaluate the vegetation restoration planting scheme, being beneficial to further analysis in subsequent steps according to the evaluation results and improving the accuracy of the present invention.

[0013] 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:

[0014] 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 at the corresponding 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.

[0015] 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:

[0016] 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.

[0017] 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:

[0018] , 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 factors on the vegetation restoration planting scheme by using the criterion layer collaborative importance, which is beneficial to accurately evaluating the vegetation restoration planting scheme of the present invention.

[0019] Optionally, analyzing according to the evaluation result of the target layer to obtain the target layer collaborative importance between the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps:

[0020] Evaluating the similarity of the vegetation restoration planting schemes; combining the evaluation result of the target layer and the similarity to obtain the target layer collaborative importance of the planting scheme factors.

[0021] Optionally, combining 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:

[0022] , where represents the target layer collaborative importance of the th planting scheme factor, represents the number of vegetation restoration planting schemes, represents the similarity between the th vegetation restoration planting scheme and the th vegetation restoration planting scheme, 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 judgment factor of the th planting scheme factor. When the th vegetation restoration planting scheme and the th vegetation restoration planting scheme both contain the If there are otherwise , denotes the number of vegetation restoration planting plans that contain the th planting plan factor. The present invention utilizes the similarity of the vegetation restoration planting plans and the evaluation results of the target layer, and evaluates based on the vegetation restoration planting plans with and without the planting plan factors, and the obtained collaborative importance of the target layer is beneficial to screening the optimal vegetation restoration planting plan.

[0023] Optionally, the method of simulating the plan according to the vegetation restoration planting plan to obtain a plurality of vegetation restoration simulated planting plans includes the following steps:

[0024] Construct a vegetation restoration planting plan simulation model; encode according to the vegetation restoration planting plan, combine the encoding result 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; disrupt the encoding result, and based on the disrupted encoding result, use the trained vegetation restoration planting plan simulation model to obtain a plurality of vegetation restoration simulated planting plans. The present invention can comprehensively cover various planting plans by using the existing plan for encoding training and then obtaining a large number of vegetation restoration planting plan simulation plans represented by scrambled codes, which is further beneficial to improving the accuracy of the present invention.

[0025] Optionally, the method of obtaining the optimal vegetation restoration planting plan by combining the collaborative importance and the vegetation restoration simulated planting plan includes the following steps:

[0026] Obtain the criterion layer collaborative importance score of the vegetation restoration simulated planting plan according to the criterion layer collaborative importance of the planting plan factors in the vegetation restoration simulated planting plan; obtain the target layer collaborative importance score of the vegetation restoration simulated planting plan through the target layer collaborative importance of the planting plan factors in the vegetation restoration simulated planting plan; 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 simulated planting plan corresponding to the ratio closest to 1 as the optimal vegetation restoration planting plan. The present invention constructs two target layer collaborative importance scores and determines the optimal vegetation restoration planting plan according to their proximity, which is beneficial to quickly and accurately obtaining the optimal vegetation restoration planting plan among many plans and improving the efficiency of the present invention.

[0027] In a second aspect, 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 also provides a system for vegetation restoration and planting on a slope disturbed by a hydropower project, 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 method for vegetation restoration and planting on a slope disturbed by a hydropower project as described in the first aspect of the present invention. 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 provided by the present invention, further improving the overall applicability and practical application ability of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flowchart of a method for vegetation restoration and planting on a slope disturbed by a hydropower project provided by an embodiment of the present invention;

[0029] Figure 2 It is a framework diagram of a system for vegetation restoration and planting on a slope disturbed by a hydropower project provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] 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, in order to provide a thorough understanding of the present invention, a large number of specific details are set forth. However, it will be apparent to those of ordinary skill in the art that the present invention does not have to employ these specific details. In other instances, well-known circuits, software, or methods have not been specifically described to avoid obscuring the present invention.

[0031] Throughout the specification, references to "an embodiment", "embodiments", "an example", or "examples" 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 an embodiment", "in embodiments", "an example", or "examples" 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.

[0032] Please refer to Figure 1 , for the slope disturbed by the hydropower project, to solve the problem of how to perform vegetation planting, the present invention provides a method for vegetation restoration and planting on a slope disturbed by a hydropower project, asFigure 1 As shown in Figure 1 , in one embodiment, the method includes the following steps:

[0033] S1. Set multiple vegetation restoration planting schemes based on planting scheme factors, and record the test data of the vegetation restoration planting schemes.

[0034] Specifically, setting multiple vegetation restoration planting schemes based on planting scheme factors includes: According to the principles of ecology, plant stress resistance, priority of pioneer plants, biodiversity, and rationality of plant configuration, select a suitable research area on the disturbed slopes of hydropower projects, level the slope surface, remove sundries, divide the leveled area into gentle slopes, steep slopes, and extremely steep slopes according to the slope grades classified by the Commission on Geomorphological Survey and Cartography of the International Geographical Union. Each plot has a specification of 2 m × 4 m, set a control area for each type, and set multiple planting patterns for different slope grades 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 regularly collect soil samples for physical and chemical property determination.

[0035] In the embodiment, a three-dimensional vegetation net can also be used. This is mainly considered 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, in the same slope, the plots with the same sowing pattern are divided into two ways: 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 ways.

[0036] The planting scheme factors are the variables of the vegetation restoration planting scheme, including but not limited to plant species, planting methods, and planting densities. Further, when setting multiple vegetation restoration planting schemes based on planting scheme factors, it is necessary to consider the planting scheme factors evenly to ensure that the test data is not affected by errors.

[0037] 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.

[0038] S2. Construct a vegetation restoration evaluation system, and evaluate the vegetation restoration planting schemes based on the test data using the vegetation restoration evaluation system.

[0039] In this embodiment, the vegetation restoration evaluation system includes an objective layer, a criterion layer, and an index layer.

[0040] Specifically, the construction of the vegetation restoration evaluation system includes the following steps:

[0041] S21. Establish an evaluation function for the criterion layer.

[0042] In view of the characteristics of high cold, aridity, 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 standards and the corresponding index layer.

[0043] Exemplarily, for the community structure indicator among the criterion layer indicators, the 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, the line 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.

[0044] 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 category of existing technologies and will not be elaborated in this application.

[0045] S22. Perform weighted processing on the evaluation function of the criterion layer to obtain the evaluation function of the target layer.

[0046] 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.

[0047] In this embodiment, the evaluation function of the target layer satisfies the following formula:

[0048] , 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,

[0049] S3. Analyze the evaluation results to obtain the co-importance among the configuration scheme factors in each of the vegetation restoration configuration schemes.

[0050] In an embodiment, the analysis of the evaluation results in step S3 to obtain the synergy importance among the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps:

[0051] S31. Analyze according to the evaluation results of the criterion layer to obtain the criterion layer synergy importance among the planting scheme factors in each of the vegetation restoration planting schemes.

[0052] Further, the analysis according to the evaluation results of the criterion layer to obtain the criterion layer synergy importance among the planting scheme factors in each of the vegetation restoration planting schemes includes the following steps:

[0053] S311. Sort the vegetation restoration planting schemes from low to high according to the evaluation results of the criterion layer.

[0054] For each evaluation function of the criterion layer, evaluate the vegetation restoration planting schemes to obtain the evaluation values of the corresponding criterion layer evaluation functions. 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.

[0055] S312. Evaluate the overlap degree of the planting scheme factors among the vegetation restoration planting schemes.

[0056] In this embodiment, the overlap degree refers to the frequency of the planting scheme factors appearing in other vegetation restoration planting schemes. Further, the overlap degree satisfies the following formula:

[0057] , 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.

[0058] S313. Combine the sorting result and the overlap degree to obtain the criterion layer synergy importance of the planting scheme factors.

[0059] Specifically, the combination of the sorting result and the overlap degree to obtain the criterion layer synergy importance of the planting scheme factors satisfies the following formula:

[0060] , where represents the criterion layer synergy importance of the th planting scheme factor, represents the The coincidence degree of a planting scheme factor Indicates the number of vegetation restoration planting schemes containing the th planting scheme factor Indicates the th ranking of the th vegetation restoration planting scheme containing the Indicates the highest score of the criterion layer corresponding to the vegetation restoration planting scheme Indicates the average score of the criterion layer corresponding to the vegetation restoration planting scheme

[0061] S32. 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

[0062] In the embodiment, the analyzing 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 includes the following steps

[0063] S321. Evaluate the similarity of the vegetation restoration planting schemes

[0064] Specifically, use the Jaccard similarity coefficient algorithm to obtain the similarity between the vegetation restoration planting schemes according to the vegetation restoration planting schemes

[0065] 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 schemes

[0066] S322. Combine the evaluation results of the target layer and the similarity to obtain the target layer collaborative importance of the planting scheme factors

[0067] Specifically, the combining the evaluation results of the target layer and the similarity to obtain the target layer collaborative importance of the planting scheme factors satisfies the following formula

[0068] , where Indicates the target layer collaborative importance of the th planting scheme factor Indicates the number of vegetation restoration planting schemes Indicates the th vegetation restoration planting scheme and the th vegetation restoration planting scheme Indicates the The evaluation results of the target layer of a vegetation restoration planting scheme represents the evaluation results of the target layer of the th vegetation restoration planting scheme, represents the th judgment factor of the planting scheme factor. When the th vegetation restoration planting scheme and the th vegetation restoration planting scheme both include the th planting scheme factor, then , otherwise . represents the number of vegetation restoration planting schemes containing the th planting scheme factor.

[0069] S4. Perform scheme simulation according to the vegetation restoration planting scheme to obtain multiple vegetation restoration simulation planting schemes, and combine the collaborative importance and the vegetation restoration simulation planting schemes to obtain the optimal vegetation restoration planting scheme.

[0070] Specifically, the performing scheme simulation according to the vegetation restoration planting scheme to obtain multiple vegetation restoration simulation planting schemes includes the following steps:

[0071] S41. Construct a vegetation restoration planting scheme simulation model.

[0072] In the embodiment, a vegetation restoration planting scheme 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 scheme simulation model established through the learning model can quickly simulate and generate more vegetation restoration simulation planting schemes.

[0073] 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 scheme simulation model. For example, use the Scikit-learn library to construct a random forest model, 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.

[0074] S42. Encode according to the vegetation restoration planting scheme, combine the encoding results and the vegetation restoration planting scheme to construct a planting scheme dataset, and train and verify the vegetation restoration planting scheme simulation model through the planting scheme dataset.

[0075] Specifically, each configuration factor in the vegetation restoration configuration plan is encoded. Then, a configuration plan dataset is constructed by combining the encoding results and the vegetation restoration configuration plan, and is split into a training set and a test set according to a certain ratio. Then, the vegetation restoration configuration plan simulation model is trained and verified. By adjusting the hyperparameters (such as the number of trees in the random forest, the learning rate of the neural network, etc.), the vegetation restoration configuration plan simulation model achieves the best performance on the test set. The cross-validation method (such as K-fold cross-validation) is used to improve the stability and generalization ability of model training.

[0076] S43. Disrupt the encoding results. Based on the disrupted encoding results, use the trained vegetation restoration configuration plan simulation model to obtain multiple vegetation restoration simulation configuration plans.

[0077] Randomly disrupt the encoding results to obtain a large number of disrupted encoding results, and then input them into the trained vegetation restoration configuration plan simulation model to obtain multiple vegetation restoration simulation configuration plans.

[0078] Further, the step of obtaining the optimal vegetation restoration configuration plan by combining the collaborative importance and the vegetation restoration simulation configuration plan includes the following steps:

[0079] S44. According to the criterion layer collaborative importance of the configuration factors in the vegetation restoration simulation configuration plan, obtain the criterion layer collaborative importance score of the vegetation restoration simulation configuration plan.

[0080] Specifically, based on each vegetation restoration simulation configuration plan, for each criterion layer evaluation function, use the criterion layer collaborative importance of the configuration factors to obtain the criterion layer collaborative importance score of the corresponding vegetation restoration simulation configuration plan.

[0081] Further, the step of using the criterion layer collaborative importance of the configuration factors to obtain the criterion layer collaborative importance score of the corresponding vegetation restoration simulation configuration plan satisfies the following formula:

[0082] , where represents the criterion layer collaborative importance score of the vegetation restoration simulation configuration plan, represents the number of configuration factors in the vegetation restoration simulation configuration plan, represents the th criterion layer collaborative importance of the configuration factor.

[0083] It should be understood that the criterion layer collaborative importance of the configuration factors in the vegetation restoration simulation configuration plan can be obtained by linear fitting of the criterion layer collaborative importance of the configuration factors in different vegetation restoration configuration plans.

[0084] S45. Obtain the target layer collaborative importance score of the vegetation restoration simulation planting scheme through the target layer collaborative importance of the planting scheme factors in the vegetation restoration simulation planting scheme.

[0085] Specifically, based on each vegetation restoration simulation planting scheme, for each target layer evaluation function, use the target layer collaborative importance of the planting scheme factors to obtain the target layer collaborative importance score of the corresponding vegetation restoration simulation planting scheme.

[0086] Furthermore, the obtaining of the target layer collaborative importance score of the corresponding vegetation restoration simulation planting scheme by using the target layer collaborative importance of the planting scheme factors satisfies the following formula:

[0087] , where represents the target layer collaborative importance score of the vegetation restoration simulation planting scheme, represents the number of planting scheme factors in the vegetation restoration simulation planting scheme, represents the th target layer collaborative importance of the planting scheme factor.

[0088] It should be understood that the target layer collaborative importance of the planting scheme factors in the vegetation restoration simulation planting scheme can be obtained by linear fitting through the target layer collaborative importance of the planting scheme factors in different vegetation restoration planting schemes.

[0089] S46. Combine the criterion layer collaborative importance score and the criterion layer weights in the vegetation restoration evaluation system to obtain the target layer collaborative importance simulation score.

[0090] Specifically, combining the criterion layer collaborative importance score and the criterion layer weights in the vegetation restoration evaluation system to obtain the target layer collaborative importance simulation score satisfies the following formula:

[0091] , 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.

[0092] 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 scheme corresponding to the ratio closest to 1 as the optimal vegetation restoration planting scheme.

[0093] In an embodiment, the target layer collaborative importance simulation score and the ratio of the target layer collaborative importance scores of all vegetation restoration simulation planting schemes are calculated, and the ratio results are compared. The vegetation restoration simulation planting scheme corresponding to the ratio closest to 1 is used as the optimal vegetation restoration planting scheme.

[0094] Please refer to Figure 2 , in an embodiment, in order to efficiently execute a method for vegetation restoration and planting on the slope after disturbance in a hydropower project provided by the present invention, the present invention also provides a system for vegetation restoration and planting on the slope after disturbance in 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, and the program instructions are used for the steps of the method for vegetation restoration and planting on the slope after disturbance in the hydropower project. The system for vegetation restoration and planting on the slope after disturbance in 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 the slope after disturbance in a hydropower project of the present invention, further improving the overall applicability and practical application ability of the present invention.

[0095] 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.

[0096] 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, application programs required for at least one function, etc.; the data storage area may store 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, 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.

[0097] The embodiment also provides a storage medium on which a computer program is stored. 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 the hydropower project are implemented.

[0098] The storage medium may include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs.

[0099] 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.

[0100] 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 recorded 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 recorded in the present invention.

Claims

1. A method for vegetation restoration and planting of slopes after disturbance in hydropower projects, characterized in that, The method for vegetation restoration and planting configuration of slopes after disturbance in hydropower projects includes the following steps: Set multiple vegetation restoration and planting configuration plans based on the planting configuration plan factors, and record the test data of the vegetation restoration and planting configuration plans; Construct a vegetation restoration evaluation system, and based on the test data, use the vegetation restoration evaluation system to evaluate the vegetation restoration and planting configuration plans; Analyze the evaluation results to obtain the collaborative importance among the planting configuration plan factors in each of the vegetation restoration and planting configuration plans; Conduct plan simulation according to the vegetation restoration and planting configuration plans to obtain multiple vegetation restoration simulation planting configuration plans, and combine the collaborative importance and the vegetation restoration simulation planting configuration plans to obtain the optimal vegetation restoration and planting configuration plan; The analysis of the evaluation results to obtain the collaborative importance among the planting configuration plan factors in each of the vegetation restoration and planting configuration plans includes the following steps: Analyze according to the evaluation results of the criterion layer to obtain the criterion layer collaborative importance among the planting configuration plan factors in each of the vegetation restoration and planting configuration plans; Analyze according to the evaluation results of the target layer to obtain the target layer collaborative importance among the planting configuration plan factors in each of the vegetation restoration and planting configuration plans; The analysis according to the evaluation results of the criterion layer to obtain the criterion layer collaborative importance among the planting configuration plan factors in each of the vegetation restoration and planting configuration plans includes the following steps: Sort the vegetation restoration and planting configuration plans from low to high according to the evaluation results of the criterion layer; Evaluate the coincidence degree of the planting configuration plan factors among the vegetation restoration and planting configuration plans; Combine the sorting results and the coincidence degree to obtain the criterion layer collaborative importance of the planting configuration plan factors; The combination of the sorting results and the coincidence degree to obtain the criterion layer collaborative importance of the planting configuration plan factors satisfies the following formula: Among them, represents the criterion layer collaborative importance of the th planting scheme factor, represents the coincidence 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 planting scheme factor in the th vegetation restoration planting scheme, represents the number of vegetation restoration planting schemes, represents the highest score of the vegetation restoration planting scheme corresponding to the criterion layer, represents the average score of the vegetation restoration planting scheme corresponding to the criterion layer; The analysis according to the evaluation results of the target layer to obtain the target layer collaborative importance among the planting configuration plan factors in each of the vegetation restoration and planting configuration plans includes the following steps: Evaluate the similarity of the vegetation restoration and planting configuration plans; Combine the evaluation results of the target layer and the similarity to obtain the target layer collaborative importance of the planting configuration plan factors; The combination of the evaluation results of the target layer and the similarity to obtain the target layer collaborative importance of the planting configuration plan factors satisfies the following formula: Among them, represents the collaborative importance of the target layer of the th planting scheme factor, represents the number of vegetation restoration planting schemes, represents the similarity between the th vegetation restoration planting scheme and the th vegetation restoration planting scheme, 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 judgment factor of the th planting scheme 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 the number of vegetation restoration planting schemes containing the th planting scheme factor.

2. The vegetation restoration and planting method for the disturbed slope of the hydropower project according to claim 1, wherein 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 an evaluation function for the target layer.

3. The vegetation restoration and planting method for the disturbed slope of a hydropower project according to claim 1, wherein The conduct of plan simulation according to the vegetation restoration and planting configuration plans to obtain multiple vegetation restoration simulation planting configuration plans includes the following steps: Construct a simulation model for the vegetation restoration and planting configuration plan; Encode according to the vegetation restoration and planting configuration plans, combine the encoding results and the vegetation restoration and planting configuration plans to construct a planting configuration plan data set, and train and verify the simulation model for the vegetation restoration and planting configuration plan through the planting configuration plan data set; Disturb the encoding results, and based on the disturbed encoding results, use the trained simulation model for the vegetation restoration and planting configuration plan to obtain multiple vegetation restoration simulation planting configuration plans.

4. The vegetation restoration and planting method for the disturbed slopes of hydropower projects according to claim 1, characterized in that, Combining the collaborative importance and the vegetation restoration simulation planting plan, an optimal vegetation restoration planting plan is obtained, including the following steps: According to the criterion layer collaborative importance of the planting plan factors in the vegetation restoration simulation planting plan, the criterion layer collaborative importance score of the vegetation restoration simulation planting plan is obtained; Through the target layer collaborative importance of the planting plan factors in the vegetation restoration simulation planting plan, the target layer collaborative importance score of the vegetation restoration simulation planting plan is obtained; Combining the criterion layer collaborative importance score and the criterion layer weight in the vegetation restoration evaluation system, a target layer collaborative importance simulation score is obtained; 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 plan corresponding to the ratio closest to 1 as the optimal vegetation restoration planting plan.

5. A vegetation restoration and planting system for slopes disturbed by hydropower projects, characterized in that, The slope vegetation restoration planting system after the hydropower project disturbance includes: 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 includes program instructions for executing the slope vegetation restoration planting method after the hydropower project disturbance according to any one of claims 1-4.

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