Slope ecological restoration suitability evaluation method, medium and equipment

Abstract

The invention discloses a slope ecological restoration suitability evaluation method, medium and equipment, and relates to the technical field of slope ecological restoration, and the method comprises the steps: obtaining slope ecological restoration data, and obtaining a slope ecological restoration suitability evaluation index according to the data; calculating the weight of the evaluation index by adopting a fuzzy analytic hierarchy process based on the evaluation index; scoring each evaluation object according to the evaluation indexes, and establishing a fuzzy relation matrix; and according to the fuzzy relation matrix and the weight vector, obtaining a comprehensive suitability evaluation score of each evaluation object, and judging a suitability grade of slope ecological restoration. According to the method, the ecological restoration suitability of the arid and semi-arid land high and steep rock slope can be quantitatively evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of slope ecological restoration, and in particular to a method, medium and device for evaluating the suitability of slope ecological restoration. Background Art

[0002] Slope ecological restoration refers to the process of treating exposed slopes caused by human activities or natural factors through a combination of engineering and biological technologies to restore their ecological functions and landscape values. The evaluation of the suitability of slope ecological restoration is an important link in determining whether a slope is suitable for ecological restoration and selecting appropriate restoration technologies. The evaluation principles include: (1) Scientificity: Aiming to improve the quality and stability of the ecosystem, following natural laws, scientifically determining the evaluation content and indicators, objectively reflecting the ecological environment effects of project implementation, and ensuring the authenticity and accuracy of the evaluation results. (2) Operability: Conducting the evaluation through a combination of quantitative and qualitative methods, clarifying the evaluation criteria in combination with the actual situation, ensuring that the evaluation data is accessible, the results are quantifiable, and it is easy to operate. (3) Standardization: Defining the evaluation technical process, unifying the standards for evaluation content, evaluation methods, data sources, result outputs, etc., and ensuring the standardization of the evaluation.

[0003] The evaluation index system for slope ecological restoration includes: (1) Natural condition indicators: including slope gradient, slope aspect, slope height, slope surface morphology, slope surface lithology, soil texture, soil thickness, soil fertility, groundwater level, rainfall, temperature, wind speed, etc. These indicators reflect the natural attributes of the slope and are the basic factors affecting ecological restoration. (2) Ecological condition indicators: such as vegetation coverage, vegetation type, biodiversity, soil erosion modulus, etc. Vegetation coverage and type are directly related to the ecological functions and landscape effects of the slope, biodiversity reflects the stability and health of the ecosystem, and the soil erosion modulus reflects the severity of soil erosion. (3) Socio-economic condition indicators: including traffic conditions, construction difficulty, project cost, local economic development level, residents' willingness, etc. Good traffic conditions are conducive to the transportation of construction materials and the entry and exit of personnel. Construction difficulty and project cost directly affect the feasibility and economy of the project. The local economic development level and residents' willingness also affect the implementation and subsequent maintenance of the project.

[0004] The evaluation methods include: (1) Analytic Hierarchy Process: First, determine the evaluation index system, then determine the weights of each index through methods such as expert scoring, and finally calculate the comprehensive evaluation value based on the actual values of each index to evaluate the suitability of slope ecological restoration. For example, taking the adaptability of revegetation, greening effect, economy, and application potential of the ecological vegetation as the criterion layer, 11 indexes are selected to construct the evaluation system for the greening effect of high-steep rocky slope mine ecological restoration. (2) Entropy method: Determine the weights of each evaluation index by calculating the entropy values of each index, and then conduct a comprehensive evaluation in combination with the actual values of the indexes. For example, in the evaluation of the ecological restoration effect of the pumped-storage power station slope, first construct the evaluation index system for the ecological restoration effect, and then calculate the weights of each evaluation index by the entropy method to obtain the set of evaluation index weights. (3) Fuzzy comprehensive evaluation method: Divide the evaluation results of each evaluation index into multiple levels and construct an evaluation level set, calculate the membership degrees of each evaluation index corresponding to each evaluation level through the membership function, and construct a fuzzy relation matrix. Finally, conduct a multi-level fuzzy comprehensive evaluation based on the set of comprehensive evaluation index weights and the fuzzy relation matrix to obtain the evaluation conclusion. (4) Comprehensive index model: Select evaluation indexes closely related to the evaluation target, determine the weights of each index by using the Analytic Hierarchy Process, and then calculate the comprehensive evaluation value through the comprehensive index model. For example, in the Xiangjiaba Hydropower Station project, 8 evaluation indexes are selected to establish the evaluation system for the soil and water conservation effect of the ecological restoration slope, and the comprehensive evaluation values of the soil and water conservation effects of slopes with different restoration measures are calculated through the comprehensive index model.

[0005] In the prior art, for the ecological restoration suitability of high-steep rocky slopes, most are theoretical guidance and lack quantitative evaluation. The relevant evaluation indexes of very few studies generally include meteorological conditions, vegetation growth status, soil layer thickness, soil nutrients, slope gradient, and slope aspect, ignoring the underground habitat conditions for plant growth on slopes (such as slope nutrients, slope temperature, and humidity). Moreover, the slope fissures are the growth space for the roots of plants on high-steep rocky slopes and the channels for the transport of temperature and moisture, and this factor is not considered in the relevant studies. In addition, there are no relevant research works in arid and semi-arid regions, and the existing evaluation systems are not applicable in arid and semi-arid regions, severely restricting the revegetation effect of high-steep rocky slopes in arid and semi-arid regions. Summary of the Invention

[0006] The purpose of the present invention is to: To solve the problem that the relevant evaluation indexes of the existing evaluation methods for the ecological restoration suitability of slopes are unreasonable and cannot be quantitatively evaluated, a method for evaluating the ecological restoration suitability of slopes is proposed, including the following steps:

[0007] S1. Obtain the slope ecological restoration data, and obtain the evaluation indexes for the ecological restoration suitability of the slope according to the data;

[0008] S2. Based on the evaluation indexes, calculate the weights of the evaluation indexes by using the fuzzy analytic hierarchy process;

[0009] S3. Score each evaluation object according to the evaluation indicators and establish a fuzzy relation matrix;

[0010] S4. According to the fuzzy relation matrix and the weight vector, obtain the comprehensive suitability evaluation scores of each evaluation object and judge the suitability level of slope ecological restoration.

[0011] Furthermore, the evaluation indicators include: slope conditions, rock mass structure conditions, and vegetation and climate conditions;

[0012] The slope conditions include: slope gradient, slope orientation, relative humidity of fractures, water vapor concentration, and composition of fracture weathering products;

[0013] The rock mass structure conditions include: occurrence combination and rock mass fracture rate;

[0014] The vegetation and climate conditions include: annual rainfall, air temperature and rock mass temperature, and plant species categories.

[0015] Furthermore, S2 is specifically as follows:

[0016] S21. According to the evaluation indicators, establish a hierarchical structure including: target layer, criterion layer, and index layer;

[0017] S22. Compare the importance of all indicators pairwise and construct a fuzzy complementary judgment matrix of the indicators;

[0018] S23. Convert the fuzzy complementary judgment matrix into a fuzzy consistency matrix;

[0019] S24. Calculate the single sorting weights of the hierarchical structure according to the fuzzy consistency matrix;

[0020] S25. Calculate the total sorting weights of the hierarchical structure according to the single sorting weights of the hierarchical structure;

[0021] S26. Normalize the total sorting weights of the hierarchical structure to obtain the weights of the evaluation indicators.

[0022] Furthermore, according to the evaluation indicators, establish a hierarchical structure including: target layer, criterion layer, and index layer, where the target layer is the comprehensive suitability evaluation of ecological restoration;

[0023] The criterion layer includes slope conditions, rock mass structure conditions, and vegetation and climate conditions;

[0024] The index layer represents the specific indicators included in slope conditions, rock mass structure conditions, and vegetation and climate conditions. The slope conditions include: slope gradient, slope orientation, relative humidity of fractures, water vapor concentration, and composition of fracture weathering products; the rock mass structure conditions include: occurrence combination and rock mass fracture rate; the vegetation and climate conditions include: annual rainfall, air temperature and rock mass temperature, and plant species categories.

[0025] Furthermore, pairwise comparisons are made according to the importance of all indicators, and the importance of comparing one indicator with another is divided into 9 levels from smallest to largest;

[0026] The fuzzy complementary judgment matrix of the indicators is expressed as:

[0027]

[0028] where 0 ≤ r ij ≤ 1, r ij + r ji = 1, r ii = 0.5; R represents the fuzzy complementary judgment matrix, r 11 represents the importance of comparing the first indicator with the first indicator, r 1n represents the importance of comparing the first indicator with the nth indicator, r n1 represents the importance of comparing the nth indicator with the first indicator, r nn represents the importance of comparing the nth indicator with the nth indicator, n is the number of indicators, r ij represents the importance of comparing the ith indicator with the jth indicator, r ji represents the importance of comparing the jth indicator with the ith indicator.

[0029] Furthermore, the fuzzy complementary judgment matrix is transformed into a fuzzy consistency matrix, specifically:

[0030] Sum the rows of the fuzzy complementary matrix R:

[0031] Transform the sum of the rows:

[0032] Construct the fuzzy consistency matrix:

[0033] Furthermore, the single - sorting weight of the hierarchical structure is expressed as:

[0034]

[0035] where w i represents the single - sorting weight of the ith indicator in the hierarchical structure.

[0036] Furthermore, the total - sorting weight of the hierarchical structure is expressed as:

[0037]

[0038] where represents the total - sorting weight of the ith indicator in the indicator layer relative to the target layer, m represents the number of indicators in the criterion layer, a jIt represents the single - ranking weight of the j - th index at the criterion layer with respect to the target layer, b ij It represents the single - ranking weight of the i - th index at the index layer with respect to the j - th index at the criterion layer.

[0039] The present invention also provides a computer - readable storage medium storing a computer program, which, when executed by a processor, implements the above - mentioned slope ecological restoration suitability evaluation method.

[0040] The present invention also provides an electronic device, including a processor and a memory, where the processor is interconnected with the memory. Among them, the memory is used to store a computer program, the computer program includes computer - readable instructions, and the processor is configured to call the computer - readable instructions to execute the above - mentioned slope ecological restoration suitability evaluation method.

[0041] The beneficial effects brought by the technical solution provided by the present invention are as follows:

[0042] Based on considering meteorological conditions, vegetation growth status, slope gradient, slope aspect, soil nutrients, etc., the present invention innovatively adds indicators such as slope fissure weathered material nutrients, slope temperature, slope humidity, and slope body fissure rate, and quantitatively evaluates the suitability of ecological restoration of high - steep rocky slopes in arid and semi - arid areas based on the fuzzy analytic hierarchy process. This evaluation method comprehensively reflects the underground habitat conditions for plant growth on high - steep rocky slopes in arid and semi - arid areas, providing a more scientific decision - making basis for ecological restoration projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flowchart of the slope ecological restoration suitability evaluation method according to an embodiment of the present invention;

[0044] Figure 2 is a block diagram of an electronic device in an exemplary embodiment of Embodiment 1 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0046] Embodiment 1: The flowchart of the slope ecological restoration suitability evaluation method according to the embodiment of the present invention is as Figure 1 , and specifically includes the following steps:

[0047] S1. Obtain slope ecological restoration data, and obtain slope ecological restoration suitability evaluation indicators according to the data. Collect geological, hydrological, vegetation, meteorological and other data of the slope, conduct on - site investigations to understand natural conditions such as slope gradient, slope aspect, slope height, slope surface morphology, slope surface lithology, soil texture, etc., and ecological conditions such as vegetation coverage, vegetation type, and biodiversity.

[0048] According to the above data, the evaluation indexes of the embodiments of the present invention are divided into three categories: slope conditions, rock mass structure conditions, and vegetation and climate conditions. The slope conditions include: slope gradient, slope orientation, relative humidity of fractures, water vapor concentration, and composition of weathered materials in fractures; the rock mass structure conditions include: occurrence combination, fracture rate of rock mass; the vegetation and climate conditions include: annual rainfall, air temperature and rock mass temperature, and plant species categories.

[0049] (1) The slope gradient is the most critical dominant factor in actual ecological restoration projects, directly restricting the effect of ecological restoration. The slope gradient will directly affect the stability of the soil layer on the slope surface of the rock slope. Due to the action of gravity, when the slope gradient is too large, the attachment condition of the base layer is poor. After the soil conditions on which the vegetation depends are lost and damaged, the vegetation cannot survive and grow. Moreover, under the condition of a steep slope, it is generally very difficult for large trees to survive themselves, and only some shrubs, herbs, and vines can grow. In addition, in the case of relatively large rainfall, due to the change of the flow characteristics of the slope surface, the intensity of slope runoff increases, and the induced scouring effect also intensifies accordingly. As the slope gradient of the rock slope increases, the stability of the soil layer decreases, the living environment of the vegetation becomes more severe, and the application of relevant ecological restoration technologies becomes more difficult. Generally speaking, when the slope gradient of the rock slope exceeds 70°, it has exceeded the slope range suitable for the growth of most vegetation. When carrying out ecological restoration on it, the revegetation effect of a single ecological restoration technology will be very poor, and at this time, it is necessary to reasonably evaluate its suitability before restoration.

[0050] (2) The slope orientation is the direction in which the slope extends in space. It can be simply understood as the direction from high to low, and it is the azimuth angle of the intersection line between the slope surface and the horizontal plane. Since the main body of the ecological restoration of the rock slope is plants, the growth of plants is directly affected by sunlight, and the most direct influence of the slope aspect itself is the sunlight irradiation duration. The sunlight irradiation duration on the sunny slope is very different from that on the shady slope, resulting in a temperature difference of 3-4 °C at the same altitude. Affected by the air temperature, the evaporation intensity on the sunny slope is also greater than that on the shady slope, and the atmospheric humidity and moisture on the sunny slope are generally lower than those on the shady slope.

[0051] (3) The fissure relative humidity refers to the ratio of the actual water vapor pressure in the air to the saturated water vapor pressure at the current air temperature, which reflects the degree of the air's proximity to saturated air. The fissure relative humidity is an important parameter for describing the humidity condition inside a rock slope, and it has a significant impact on the water use efficiency and growth of plants. Humidity is a key factor affecting the water use efficiency of plants. A high-humidity environment can reduce the water loss of plants and is beneficial to plant growth. In areas with lower humidity, plants need to have a higher water retention capacity. According to the monitoring of the relative humidity inside the slope, it is found that the humidity in the fissures is related to the water vapor migration and can affect the water absorption of plant roots. As an important index in the slope condition criterion layer, the fissure relative humidity has an important impact on understanding the distribution and migration of water vapor inside the slope, the water absorption of plant roots, and plant growth. By monitoring and analyzing the fissure relative humidity, it can provide important scientific basis for the ecological restoration of rock slopes.

[0052] (4) The water vapor concentration refers to the mass of water vapor contained in a certain volume of air and is usually used to describe the saturation degree of water vapor in the air. In the research of ecological restoration and plant growth, the water vapor concentration is an important environmental parameter. In practical applications, the measurement and analysis of the water vapor concentration can be carried out through sensors installed at different positions and depths of the rock slope. These sensors can record temperature and humidity data, and through these data, the absolute humidity and relative humidity can be calculated, and then the distribution and variation law of the water vapor concentration can be analyzed. In the evaluation of the suitability of ecological restoration of rock slopes, the research on the variation law of the water vapor concentration can help to understand the distribution and migration of water vapor inside the slope, which has an important impact on the growth of plants, the depth of their roots, and their water absorption capacity.

[0053] (5) Composition of weathered materials in fissures: Weathered materials in fissures can serve as important material carriers for various environmental conditions such as nutrients required for the growth of slope plants, and their role in vegetation restoration in the entire ecological restoration project of rocky slopes is self-evident. The nutrients in weathered materials in fissures play an irreplaceable role in the survival and growth of plants. Therefore, studying the nutrients and characteristics of weathered materials in fissures is necessary for the ecological restoration of rocky slopes. The nutrient content of weathered materials in fissures includes pH, total salt content, organic matter, ammonia nitrogen, available phosphorus, and available potassium, etc. The pH value affects the acidity and alkalinity of weathered materials in fissures. An environment that is too acidic or too alkaline is unfavorable for plant growth, and a suitable pH environment directly affects the survival rate of plants. The total salt content is usually expressed as the number of milligrams of salt contained in each kilogram of soil. These soluble salts include various cations and anions in weathered materials in fissures, such as sodium, potassium, calcium, magnesium, and chlorine, etc. It is directly related to the absorption ability of plant roots to water and nutrients, and has a direct impact on plant growth. High salt content in weathered materials in fissures may be toxic to plants, affecting the normal growth of plants and even causing plant death. Organic matter can provide the nutrients required for plant growth, improve soil structure, and enhance the water-holding and fertilizer-holding capabilities of the soil. Too low ammonia nitrogen content in weathered materials in fissures may lead to slow plant growth, while excessive ammonia nitrogen may lead to overly rapid plant growth, affecting plant health and stress resistance. Therefore, monitoring the ammonia nitrogen content in weathered materials in fissures and timely supplementing nitrogen fertilizer are crucial for the healthy growth of plants. Ammonia nitrogen is one of the essential nitrogen sources for plant growth and is crucial for plant growth and development. Ammonia nitrogen is taken as an important indicator in the criterion layer of soil components. The content of available phosphorus in weathered materials in fissures directly affects the growth rate and quality of plants. Too low phosphorus content may lead to poor plant growth and requires supplementation through fertilization. Phosphorus is a key nutrient element for plant growth and development, participating in plant root development and energy conversion. Potassium is an essential nutrient element for plant growth, contributing to plant stress resistance and growth quality. Available potassium refers to the potassium that can be rapidly absorbed by plants in the soil and weathered materials in fissures, and plays an important role in plant growth and development and improving plant stress resistance.

[0054] (6) Attitude combination: There are significant differences between the ecological restoration of rocky slopes and the restoration of mining area land. Traditional soil restoration focuses on improving soil conditions and solving factors restricting plant growth, such as light, temperature, and water, etc. However, due to the exposure of rock masses and the special geological environment of rocky slopes, the difficulty and complexity of their restoration are much higher than that of soil restoration. The restoration of rocky slopes must comprehensively consider geological factors from the perspective of ecological geology, and among them, the attitude condition is a factor that is easily overlooked but crucial.

[0055] When the slope surface is parallel to the rock bedding plane, the slope surface is actually the surface of a certain layer of rock, usually smooth and flat, which is not conducive to restoration. First of all, the soil to be added for restoration is difficult to cover and fix, resulting in a decrease in the survival rate of plants. Secondly, the parallel occurrence limits the growth space of plant roots and affects their stability. In addition, this condition is not conducive to rainwater storage and increases the difficulty of maintenance. On the contrary, when the slope surface is perpendicular to the rock bedding plane or intersects at a large angle, the restoration conditions are greatly improved. The vertical or oblique occurrence provides more growth space for plant roots, enhances plant stability, and is conducive to soil covering and rainwater accumulation, thus improving the restoration effect and durability. Therefore, the key step in the restoration of rocky slopes is field occurrence measurement. By measuring the relative position and angle between the slope surface and the rock bedding plane, a scientific basis can be provided for the restoration plan. Using a stereographic projection diagram (which can visually display the occurrence characteristics of the slope and help calculate the included angle between the slope surface and the rock bedding plane).

[0056] (7) Rock mass fracture rate: The fractures in the rock mass of a rocky slope are crucial for the growth of plants. Fractures are not only the channels for water storage and migration in the rock mass but also the only space for the growth of plant roots. In actual field investigations, it has been found that on slopes with well-developed fractures, the growth of plants is better; in different areas of the same slope, there are more plant species and quantities in places with a high degree of fracture development. This is because the air permeability of plant roots is affected by the degree of fracture development. When the fractures are well-developed, the air permeability of the roots is better, and they can absorb more water and nutrients. In addition, in the complex environment of a rocky slope, the roots of plants often need to expand a larger growth range, which requires the support of fracture space. Therefore, the condition of a rock mass with developed fractures is the key to the healthy growth of plants in the ecological restoration of rocky slopes. In the ecological restoration of rocky slopes, the degree of development of natural fractures in the rock mass has a significant impact on the success of the restoration project. The volumetric fracture rate is an important indicator to measure the degree of fracture development. The value of the volumetric fracture rate provides information on the degree of fracture development and helps to evaluate the stability of the rock mass.

[0057] When conducting an investigation of the volumetric fracture rate of the rock mass, an artificial measurement is carried out using a volumetric fracture measuring instrument. To improve the data accuracy, high-resolution image data taken by a drone is combined to measure the volumetric fractures of the rock slope. The image recognition technology of the drone can effectively capture linear structural features such as faults and joints and mark their orientations. After the images are obtained, representative locations are selected in the field for geological compass measurement. These measurement points are located in areas with obvious linear structures, and the geological compass is used to measure the accurate structural strike and dip. By combining the field measurement data with the analysis results of the drone images, the accuracy of the image recognition is verified, and the distribution and strike characteristics of the structural planes in the area are comprehensively judged to determine the degree of fracture development of the rock mass.

[0058] (8) Annual rainfall: Although the precipitation in the study area is scarce and the amount of rainwater recharge on the slope is small, the rainfall cannot be ignored. It is closely related to the growth of plants. Especially in arid areas, rainfall is particularly important for the growth of vegetation and shows a positive correlation. Therefore, the average annual rainfall is also taken as one of the main indicators.

[0059] (9) Air temperature and rock mass temperature: Temperature directly affects the physiological processes and growth and development of plants, and has an important impact on the growth cycle and physiological activities of plants. In environments with low temperature, high temperature or large temperature changes, the growth of plants will be stressed and even die. High temperature may accelerate water evaporation and exacerbate drought stress, while low temperature may limit the growth rate and biomass accumulation of plants. The air temperature directly affects the rock mass temperature. The increase or decrease of temperature will cause changes in the internal temperature field of the rock mass, resulting in differences in the temperature changes in the monitoring holes in each season. In winter, the heat in the unsaturated zone of the fractured rock mass is transferred from the deep layer of the rock mass to the surface of the rock mass, and vice versa in spring and summer.

[0060] (10) Plant species category: Plant species richness refers to the total number of different species in a community. Different plant species have different adaptabilities to environmental conditions. In the ecological restoration of the study area, through field investigations, it is found that the plants growing well are all drought-tolerant plants, and the plant species richness in the natural area is relatively high, with strong species adaptability, fast growth rate and strong stress resistance.

[0061] S2. Based on the evaluation indicators, the fuzzy analytic hierarchy process is used to calculate the weights of the evaluation indicators.

[0062] S21. According to the evaluation indicators, a hierarchical structure is established as: the target layer, the criterion layer and the index layer. Among them, the target layer is the comprehensive suitability evaluation of ecological restoration; the criterion layer includes slope conditions, rock mass structure conditions, vegetation and climate conditions; the index layer represents the specific indicators included in slope conditions, rock mass structure conditions and vegetation and climate conditions. The slope conditions include: slope gradient, slope orientation, relative humidity of fractures, water vapor concentration and composition of weathered materials in fractures; the rock mass structure conditions include: occurrence combination and rock mass fracture rate; the vegetation and climate conditions include: annual rainfall, air temperature and rock mass temperature, and plant species category.

[0063] S22. Compare the importance of all indicators pairwise to construct a fuzzy complementary judgment matrix of the indicators.

[0064] According to the pairwise comparison of the importance of all indicators, the importance of comparing one indicator with another is divided into 9 levels from small to large. The larger the number, the more important it is. The judgment index scale of the fuzzy analytic hierarchy process of the 9 levels in the embodiment of the present invention is shown in Table 1.

[0065] Table 1

[0066]

[0067]

[0068] The fuzzy complementary judgment matrix of the index is expressed as:

[0069]

[0070] Among them, 0 ≤ r ij ≤ 1, r ij + r ji = 1, r ii = 0.5; R represents the fuzzy complementary judgment matrix, r 11 represents the importance of the first index compared with the first index, r 1n represents the importance of the first index compared with the nth index, r n1 represents the importance of the nth index compared with the first index, r nn represents the importance of the nth index compared with the nth index, n is the number of indexes, r ij represents the importance of the ith index compared with the jth index, r ji represents the importance of the jth index compared with the ith index.

[0071] The membership degree value is calculated as follows:

[0072]

[0073] Among them, t nm represents the membership degree of the nth index on the mth index.

[0074] The fuzzy complementary judgment matrix of the index constructed in the embodiment of the present invention is shown in the following table. Among them, Table 2 is the judgment matrix of the criterion layer index, Table 3 is the judgment matrix of the slope condition index layer, Table 4 is the judgment matrix of the rock mass structure condition index layer, and Table 5 is the judgment matrix of the vegetation and climate condition index layer.

[0075] Table 2

[0076]

[0077]

[0078] Table 3

[0079]

[0080] Table 4

[0081] Rock mass structure condition index layer Occurrence combination Rock mass fracture rate Occurrence combination 0.5 0.1 Rock mass fracture rate 0.9 0.5

[0082] Table 5

[0083] Vegetation and climate condition index layer Air temperature and rock mass temperature Annual rainfall Plant species category Air temperature and rock mass temperature 0.5 0.2 0.1 Annual rainfall 0.8 0.5 0.9 Plant species category 0.9 0.1 0.5

[0084] S23. Convert the fuzzy complementary judgment matrix into a fuzzy consistent matrix. Specifically: Sum the fuzzy complementary matrix R row by row: Transform the sum of the rows:

[0085] Construct the fuzzy consistent matrix:

[0086] Compared with the fuzzy complementary judgment matrix R, the fuzzy consistent matrix R′ satisfies the midpoint transitivity, so that the judgment matrix naturally satisfies the consistency, reducing the subjective influence of expert judgment. The fuzzy consistent matrix satisfies the midpoint transitivity.

[0087] S24. Calculate the single sorting weights of the hierarchical structure according to the fuzzy consistent matrix. The single sorting weights of the hierarchical structure represent the relative importance of the criterion layer relative to the target layer or the relative importance of the index layer relative to the criterion layer. The single sorting weights of the hierarchical structure are expressed as:

[0088]

[0089] where w i represents the single sorting weight of the hierarchical structure of the i-th index.

[0090] S25. Calculate the total sorting weights of the hierarchical structure according to the single sorting weights of the hierarchical structure. Assume that the single sorting weights of the criteria layer indexes relative to the target layer are: a 1 , a 2 ,..., a m , a m represents the single sorting weight of the m-th index in the criteria layer relative to the target layer, m represents the number of indexes in the criteria layer. In the embodiment of the present invention, m = 3. The single sorting weight matrix of the index layer indexes relative to the criteria layer is B:

[0091]

[0092] where b nm represents the single sorting weight of the n-th index in the index layer relative to the m-th index in the criteria layer, n is the number of indexes in the index layer. In the embodiment of the present invention, n = 10. Then the hierarchical total sorting result of the index layer relative to the target layer is:

[0093]

[0094] where B 1 represents the hierarchical total sorting of the slope condition index layer relative to the criteria layer, B 2 represents the hierarchical total sorting of the rock mass structure condition index layer relative to the criteria layer, B 3 represents the hierarchical total sorting of the vegetation and climate condition index layer relative to the criteria layer.

[0095] The total sorting weight of the hierarchical structure is expressed as:

[0096]

[0097] Wherein, represents the total sorting weight of the i-th index in the index layer relative to the target layer, m represents the number of indexes in the criterion layer, and a j represents the single sorting weight of the j-th index in the criterion layer for the target layer, and b ij represents the single sorting weight of the i-th index in the index layer for the j-th index in the criterion layer.

[0098] S26. Normalize the total sorting weight of the hierarchical structure to obtain the weight of the evaluation index.

[0099] The sum of the total sorting weights may not be 1, and normalization processing is required to make the sum of the total sorting weights of all indexes equal to 1.

[0100]

[0101] Wherein, represents the normalized total sorting weight of the i-th index in the index layer relative to the target layer.

[0102] The weight result reference table of the criterion layer indexes in the embodiments of the present invention is Table 6, the weight result reference table of the slope condition indexes is Table 7, the weight result reference table of the rock mass structure condition indexes is Table 8, and the weight result reference table of the vegetation and climate condition indexes is Table 9.

[0103] Table 6

[0104] Slope condition Vegetation and climate condition Rock mass structure condition Single sorting weight 0.5584 0.3196 0.1220 Total sorting weight 0.5584 0.3196 0.1220

[0105] It can be seen from Table 6 that the relative importance ranking of the indexes' weights in each criterion layer is: slope condition > vegetation and climate condition > rock mass structure condition. Among them, the slope condition has a relatively high weight and is the main component of the ecological restoration suitability evaluation, with a weight of 0.5584; the weights of the vegetation and climate condition and the rock mass structure condition account for relatively less, with weights of 0.3196 and 0.1220 respectively.

[0106] Table 7

[0107] Fracture weathering product composition Water vapor concentration Fracture relative humidity Slope Aspect Single sorting weight 0.3886 0.2056 0.1444 0.0928 0.1686 Total sorting weight 0.2170 0.1148 0.0806 0.0518 0.0942

[0108] As can be seen from Table 7, the single - ranking weight results of each index in the slope geometric morphology are: weathered fissure composition > water vapor concentration > slope aspect > relative humidity of fissures > slope gradient. The single - ranking weights are 0.3886, 0.2056, 0.1686, 0.1444, 0.0928 respectively, and the total - ranking weights are 0.2170, 0.1148, 0.0942, 0.0806, 0.0518 respectively.

[0109] Table 8

[0110] Occurrence Body fracture rate Single sorting weight 0.3333 0.6667 Total sorting weight 0.0407 0.0813

[0111] As can be seen from Table 8, the single - ranking weight results of each index in the rock mass structure conditions are: body fissure rate > occurrence. The single - ranking weights are 0.6667 and 0.3333 in turn, and the total - ranking weights are 0.00813 and 0.0407 in turn.

[0112] Table 9

[0113] Annual average rainfall Air temperature and rock mass temperature Plant species richness Single sorting weight 0.5396 0.1634 0.2970 Total sorting weight 0.1725 0.0522 0.0949

[0114] As can be seen from Table 9, the single - ranking weight results of each index in the vegetation and climate conditions are: annual average rainfall > plant species category > air temperature and rock mass temperature. The single - ranking weights are 0.5396, 0.2970, 0.1634 in turn, and the total - ranking weights are 0.1725, 0.0949, 0.0522 in turn.

[0115] Sort out the above calculation results, and summarize the weight results of the total ranking of the index levels in Table 10. The weight distribution results of the total ranking of the evaluation index represent the contribution degree of different indexes to the ecological restoration suitability of the rock slope.

[0116] Table 10

[0117]

[0118] S3. Score each evaluation object according to the evaluation index. The scores can be expressed in fuzzy language, such as "very good", "better", "general", "bad", etc. The corresponding grade scores S are 100, 75, 50, 25 respectively, and establish a fuzzy relation matrix.

[0119] S4. According to the fuzzy relation matrix and the weight vector, obtain the comprehensive suitability evaluation score of each evaluation object represents the normalized total - ranking weight of the index in the index layer relative to the target layer, T represents the membership matrix, and S represents the grade score. And judge the suitability level of the slope ecological restoration.

[0120] The ecological restoration suitability index system for rocky slopes in the embodiments of the present invention covers 3 criterion levels and 10 specific indicators. For the evaluation set V of the evaluation index system for the ecological restoration suitability of the study area, it is mainly divided into 4 levels: highly suitable (Ⅰ), relatively suitable (Ⅱ), marginally suitable (Ⅲ), and poor suitability (Ⅳ). The grading standard for the evaluation index of slope ecological restoration suitability refers to Table 11, and the domain of the evaluation index level refers to Table 12. The grading table for the comprehensive score of suitability evaluation is shown in Table 13.

[0121] Table 11

[0122]

[0123] Table 12

[0124] Index evaluation grade Value I Highly suitable 4.00 II Relatively suitable 3.00 III Barely suitable 2.00 IV Poor suitability 1.00

[0125] Table 13

[0126] Comprehensive evaluation grade Value I Highly suitable 3～4 II Relatively suitable 2～3 III Barely suitable 1～2 IV Poor suitability 0～1

[0127] The total score and the scores of each index are shown in Tables 14 and 15. The evaluation results show that the suitability score of the shady slope is 2.55, and the score of the sunny slope is 2.39. The ecological restoration suitability levels are both II, relatively suitable.

[0128] Table 14

[0129]

[0130] Table 15

[0131]

[0132] Example 3: In an exemplary embodiment, it includes a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the above-mentioned slope ecological restoration suitability evaluation method.

[0133] Example 4: Please refer to Figure 2 , in an exemplary embodiment, it further includes an electronic device, including at least one processor, at least one memory, and at least one communication bus.

[0134] Among them, the memory stores a computer program, and the computer program includes computer-readable instructions. The processor calls the computer-readable instructions stored in the memory through the communication bus and executes the above-mentioned slope ecological restoration suitability evaluation method.

[0135] The foregoing description of the disclosed embodiments enables those skilled in the art to practice or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A slope ecological restoration suitability evaluation method, characterized in that: The following steps are involved: S1. Obtain slope ecological restoration data, and obtain slope ecological restoration suitability evaluation indicators based on the data; S2. Based on the evaluation index, the weight of the evaluation index is calculated by using the fuzzy analytic hierarchy process; S3, score each evaluation object according to the evaluation index and establish a fuzzy relationship matrix; S4. According to the fuzzy relationship matrix and weight vector, the comprehensive suitability evaluation score of each evaluation object is obtained, and the suitability level of slope ecological restoration is determined.

2. A slope ecological restoration suitability evaluation method according to claim 1, characterized in that: Evaluation indicators include: slope conditions, rock mass structural conditions, vegetation and climate conditions; Slope conditions include: slope gradient, slope orientation, relative humidity of cracks, water vapor concentration, and composition of crack weathering products; Rock mass structural conditions include: occurrence combination and rock mass fracture ratio; Vegetation and climate conditions include: annual rainfall, air and rock temperature, and plant species categories.

3. A slope ecological restoration suitability evaluation method according to claim 1, characterized in that: S2 is specifically: S21. According to the evaluation indicators, a hierarchical structure is established: target layer, criterion layer and indicator layer; S22. Compare the importance of all indicators in pairs and construct the fuzzy complementary judgment matrix of the indicators; S23, converting the fuzzy complementary judgment matrix into a fuzzy consistency matrix; S24, calculating the single ranking weight of the hierarchy according to the fuzzy consistency matrix; S25, calculating the total ranking weight of the hierarchy according to the single ranking weight of the hierarchy; S26. Normalize the total ranking weight of the hierarchical structure to obtain the weight of the evaluation index.

4. A slope ecological restoration suitability evaluation method according to claim 3, characterized in that: According to the evaluation indicators, a hierarchical structure is established: target layer, criterion layer and indicator layer, among which the target layer is the comprehensive suitability evaluation of ecological restoration; The criteria layer includes slope conditions, rock mass structural conditions, vegetation and climate conditions; The index layer represents the specific indicators of slope conditions, rock structure conditions, vegetation and climate conditions. Slope conditions include: slope gradient, slope orientation, fissure relative humidity, water vapor concentration and fissure weathering product composition; rock structure conditions include: occurrence combination and rock fissure rate; vegetation and climate conditions include: annual rainfall, air temperature and rock temperature and plant species category.

5. A slope ecological restoration suitability evaluation method according to claim 3, characterized in that: According to the importance of all indicators, the importance of one indicator compared with another indicator is divided into 9 levels from small to large; The fuzzy complementary judgment matrix of the indicators is expressed as: Where 0≤r ij ≤1, r ij +r ji =1, r ii =0.5; R represents the fuzzy complementary judgment matrix, r 11 Indicates the importance of the first indicator compared to the first indicator, r 1n Indicates the importance of the first indicator compared to the nth indicator, r n1 Indicates the importance of the nth indicator compared to the first indicator, r nn Indicates the importance of the nth indicator compared to the nth indicator, n is the number of indicators, r ij Indicates the importance of the i-th indicator compared to the j-th indicator, r ji Indicates the importance of the j-th indicator compared to the i-th indicator.

6. A slope ecological restoration suitability evaluation method according to claim 5, characterized in that: The fuzzy complementary judgment matrix is ​​transformed into a fuzzy consistency matrix, specifically: Sum the fuzzy complementary matrix R row by row: Transform the sums of rows: Construct the fuzzy consistency matrix:

7. A slope ecological restoration suitability evaluation method according to claim 6, characterized in that: The single-rank weight of the hierarchy is expressed as: Among them, w i Represents the hierarchical single ranking weight of the i-th indicator.

8. A slope ecological restoration suitability evaluation method according to claim 6, characterized in that: The total ranking weight of the hierarchy is expressed as: in, represents the total hierarchical ranking weight of the i-th indicator in the indicator layer relative to the target layer, m represents the number of indicators in the criterion layer, and a j represents the single ranking weight of the jth indicator of the criterion layer to the target layer, b ij It represents the single ranking weight of the i-th indicator in the indicator layer to the j-th indicator in the criterion layer.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

10. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the processor and the memory are interconnected, wherein the memory is used to store a computer program, the computer program comprises computer-readable instructions, and the processor is configured to call the computer-readable instructions to execute the method according to any one of claims 1 to 8.

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