A method and system for evaluating soil quality in high-cold mountainous areas

Abstract

The present invention relates to the technical field of soil quality evaluation, and in particular to a method and system for evaluating soil quality in an alpine mountainous area. The method comprises the following steps: obtaining experimental data of soil samples in an alpine mountainous area; constructing a physical evaluation model for soil in an alpine mountainous area, and obtaining physical evaluation index values ​​based on the experimental data and the physical evaluation model; setting membership functions of soil quality evaluation indexes and physical evaluation indexes, and obtaining the membership of soil quality evaluation indexes and physical evaluation indexes through experimental data, physical evaluation index values, and membership functions; weighting soil quality evaluation indexes and physical evaluation indexes, and combining the membership and weighting distribution results to obtain the quality evaluation results of soil in an alpine mountainous area. The present invention solves the problem of accurate quality evaluation of matrix layer soil suitable for slopes in alpine mountainous areas by constructing a variety of evaluation indicators and performing weighting distribution, and then performing evaluation based on experimental data, which is helpful for slope management and repair in alpine mountainous areas.

Description

Technical Field

[0001] The present invention relates to the technical field of soil quality evaluation, and in particular to a method and system for evaluating soil quality in high-cold mountainous areas. Background Art

[0002] Slopes in high-cold mountainous areas are often damaged by natural factors such as freeze-thaw cycles, strong winds, snowfall, etc. and human activities such as road construction and mineral mining, which leads to a decrease in slope stability and the occurrence of geological disasters such as landslides and collapses. Through slope repair, the slope structure can be effectively reinforced and its bearing capacity can be improved, thereby reducing the probability of geological disasters and protecting people's lives and property. Since the matrix layer soil has good water and fertilizer retention properties, its nutrients and moisture conditions are conducive to plant growth and root development, and can provide a stable growth environment for plants on the slope. It can also enhance the stability of the slope during slope repair. Therefore, the matrix layer soil plays a vital role in slope repair.

[0003] Evaluation of slope restoration in high-cold mountainous areas can accurately assess the actual effect of restoration measures. By comparing indicators such as slope stability, vegetation recovery, and soil quality of the matrix layer before and after restoration, it can be determined whether the restoration measures have achieved the expected goals. This helps to provide scientific guidance for subsequent restoration work, optimize restoration plans, and improve restoration efficiency. Correct and effective soil quality evaluation can directly or indirectly reflect ecosystem changes and the interference effects of human activities. Due to soil complexity, regional heterogeneity, the legacy of past land use, and different research purposes, there is no unified standard for the selection of soil quality evaluation indicators. Urson et al. proposed that soil texture and structure are physical indicators for evaluating soil quality, Doran proposed that organic matter is the most important chemical indicator for evaluating soil quality, and Dick et al. believed that soil enzyme activity is extremely sensitive to changes in the surrounding environment and can be used as a biological indicator. So far, no suitable system standard has been formed. Research by Liu Shiliang and others shows that organic matter content is an indicator that must be measured in my country's soil quality evaluation, followed by available potassium, available phosphorus, pH, clay, silt, sand, thickness, total potassium, total phosphorus, cation exchange capacity, etc. Due to the complex environment of high-altitude mountainous areas, the quality of the matrix soil is affected by many factors. Traditional soil quality evaluation methods are often difficult to fully and accurately reflect the true condition of soil quality. Therefore, a more scientific, comprehensive and accurate matrix soil quality evaluation method and system suitable for slopes in high-altitude mountainous areas is needed. Summary of the invention

[0004] In view of the shortcomings of existing methods and the needs of practical applications, in order to effectively evaluate the results of slope management and restoration in high-altitude and cold mountainous areas, the problem of evaluating the quality of the matrix layer soil suitable for slopes in high-altitude and cold mountainous areas is solved. On the one hand, the present invention provides a method for evaluating the quality of soil in high-altitude and cold mountainous areas, comprising the following steps:

[0005] Acquire experimental data of soil samples in alpine mountainous areas; construct a physical evaluation model for soil in alpine mountainous areas, and obtain physical evaluation index values ​​based on the experimental data and the physical evaluation model; set membership functions for soil quality evaluation indexes and physical evaluation indexes, and obtain the membership of the soil quality evaluation indexes and the physical evaluation indexes through the experimental data, the physical evaluation index values, and the membership function; perform weight allocation on the soil quality evaluation indexes and the physical evaluation indexes, and obtain the quality evaluation results of soil in alpine mountainous areas by combining the membership and weight allocation results.

[0006] The present invention constructs two physical evaluation indicators and then combines them with other soil quality evaluation indicators to establish a soil quality evaluation system for the matrix layer in high-cold mountainous areas. Then, a weight allocation algorithm is constructed according to the evaluation opinions of multiple experts. Finally, the soil quality evaluation results are obtained by combining the membership and corresponding weights of the soil quality evaluation indicators for the matrix layer in high-cold mountainous areas. This solves the soil quality evaluation problem applicable to slopes in high-cold mountainous areas and is helpful for the management and restoration of slopes in high-cold mountainous areas.

[0007] Optionally, the constructing of the physical evaluation model of the soil in the alpine mountainous area, based on the experimental data and the physical evaluation model, obtaining the physical evaluation index value, comprises the following steps:

[0008] A soil water and soil conservation capacity evaluation model and a soil freeze-thaw resistance evaluation model are constructed; the soil water and soil conservation capacity of the soil in the high-cold mountainous area is obtained through the soil water and soil conservation capacity evaluation model and the experimental data; the freeze-thaw resistance of the soil in the high-cold mountainous area is obtained through the soil freeze-thaw resistance evaluation model and the experimental data. The present invention is conducive to accurately evaluating the physical properties of the high-cold mountainous area by constructing two sub-physical evaluation indicators, thereby understanding the safety and reliability of the soil.

[0009] Optionally, the soil and water conservation capacity assessment model satisfies the following formula:

[0010]

[0011] in, Indicates the soil water conservation capacity. Indicates the bulk density of soil, unit: grams per cubic centimeter, represents the damping coefficient of the soil, Indicates the average particle size of the soil, in microns. represents the average effective porosity of the soil, Indicates the infiltration rate of soil, unit: millimeter per minute.

[0012] Optionally, the soil freeze-thaw resistance evaluation model satisfies the following formula:

[0013]

[0014] in, Indicates the soil's ability to resist freezing and thawing. Represents the Young's modulus of the soil, unit: MPa, Indicates the slope of the slope where the soil is located, Indicates the cohesion index of soil, unit: kPa, represents the maximum principal stress of the soil, represents the average principal stress of the soil, represents the minimum principal stress of the soil, is the internal friction angle of the soil, represents the Poisson's ratio of the soil, Indicates the thickness of the soil in centimeters.

[0015] Optionally, the soil quality evaluation index includes chemical evaluation index, environmental evaluation index and biological evaluation index; the chemical evaluation index includes pH, total nitrogen content, total phosphorus content, total potassium content, alkaline nitrogen content, effective phosphorus content, available potassium content, organic carbon content and organic matter content; the environmental evaluation index includes copper content, zinc content, chromium content, cadmium content, lead content and arsenic content; the biological evaluation index includes the number of microorganisms. The chemical evaluation index, environmental evaluation index and biological evaluation index selected by the present invention are conducive to the comprehensive evaluation of soil fertility and other properties, and further conducive to the implementation of slope restoration work.

[0016] Optionally, setting the membership function of the soil quality evaluation index and the physical evaluation index comprises the following steps:

[0017] The first membership function type, the second membership function type and the third membership function type are set; the indicator types of soil quality evaluation indicators and physical evaluation indicators are divided, the membership function type is matched according to the indicator type, and the threshold of the corresponding membership function type is set. The present invention adopts the upper-type, lower-type and peak-type membership functions for various indicators, which is conducive to the accurate response of various indicators to soil conditions.

[0018] Optionally, the first membership function type satisfies the following formula:

[0019]

[0020] The second membership function type satisfies the following formula:

[0021]

[0022] The third membership function type satisfies the following formula:

[0023]

[0024] in, represents the membership value, represents the actual value of each evaluation index, , , , Indicates the threshold value of each evaluation indicator.

[0025] Optionally, the weight allocation of the soil quality evaluation index and the physical evaluation index comprises the following steps:

[0026] Obtain the evaluation results of the influence of the soil quality evaluation index and the physical evaluation index on soil quality from multiple relevant experts; and obtain the comprehensive weight distribution of the soil quality evaluation index and the physical evaluation index according to the ranking of the influence evaluation results. The present invention utilizes the evaluation results of multiple experts on each index, combined with the weight distribution algorithm of the present invention, objectively reflects the opinions of multiple relevant experts, and is conducive to improving the evaluation accuracy and practical utility of the present invention.

[0027] Optionally, the comprehensive weight distribution of the soil quality evaluation index and the physical evaluation index is obtained according to the ranking of the impact degree assessment results, satisfying the following formula: ,in, Indicates The comprehensive weight of the evaluation index, represents the number of experts, Indicates Experts and The ranking similarity coefficient of the experts’ impact assessment results, represents the number of evaluation indicators, Indicates Experts on Ranking of evaluation indicators.

[0028] In the second aspect, in order to be able to efficiently execute the high-cold mountain soil quality evaluation method provided by the present invention, the present invention also provides a high-cold mountain soil quality evaluation system, including a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the high-cold mountain soil quality evaluation method as described in the first aspect of the present invention. The high-cold mountain soil quality evaluation system of the present invention has a compact structure and stable performance, and can stably execute the high-cold mountain soil quality evaluation method provided by the present invention, further improving the overall applicability and practical application ability of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A flow chart of a method for evaluating soil quality in a high-cold mountainous area provided by an embodiment of the present invention;

[0030] Figure 2 A framework diagram of a soil quality evaluation system in a high-cold mountainous area provided by an embodiment of the present invention;

[0031] Figure 3 A schematic diagram of the structure of a soil quality evaluation device for high-cold mountainous areas provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described herein are only for illustration and are not intended to limit the present invention. In the following description, a large number of specific details are set forth in order to provide a thorough understanding of the present invention. However, it is obvious to those of ordinary skill in the art that these specific details do not need to be adopted to implement the present invention. In other examples, in order to avoid confusing the present invention, known circuits, software or methods are not specifically described.

[0033] Throughout the specification, references to "one embodiment," "an embodiment," "an example," or "an example" mean that a particular feature, structure, or characteristic described in conjunction with the embodiment or example is included in at least one embodiment of the present invention. Therefore, the phrases "in one embodiment," "in an embodiment," "an example," or "an example" appearing in various places throughout the specification do not necessarily all refer to the same embodiment or example. In addition, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and / or subcombination. In addition, it should be understood by those of ordinary skill in the art that the figures provided herein are for illustrative purposes and that the figures are not necessarily drawn to scale.

[0034] See also Figure 1In order to effectively evaluate the results of slope management and restoration in high-cold mountainous areas and solve the problem of soil quality evaluation of the matrix layer applicable to slopes in high-cold mountainous areas, the present invention provides a soil quality evaluation method in high-cold mountainous areas, such as Figure 1 As shown, in one embodiment, the method includes the following steps:

[0035] S1. Obtain experimental data of soil samples from high-altitude mountainous areas.

[0036] The experimental data of the matrix soil samples in the high-cold mountainous areas were retrieved from the laboratory database. The matrix soil samples in the high-cold mountainous areas need to be screened according to the sample selection principles such as the comprehensive principle, representative principle, objectivity principle and feasibility principle. The selected samples represent the matrix soil in the high-cold mountainous areas to be evaluated, which can objectively and accurately reflect the real situation.

[0037] Furthermore, the test data of the samples include: physical test data, including soil bulk density, damping coefficient, average particle size, average effective porosity, infiltration rate, Young's modulus, slope of the slope where the soil is located, cohesion index, maximum principal stress, average principal stress, minimum principal stress, internal friction angle, Poisson's ratio, and soil thickness; chemical test data, including pH, total nitrogen content, total phosphorus content, total potassium content, alkaline-hydrolyzed nitrogen content, effective phosphorus content, available potassium content, organic carbon content, and organic matter content; environmental test data, including copper content, zinc content, chromium content, cadmium content, lead content, and arsenic content; biological test data include the number of microorganisms.

[0038] S2. Constructing a physical evaluation model for soil in high-cold mountainous areas, and obtaining physical evaluation index values ​​based on the experimental data and the physical evaluation model.

[0039] In an embodiment, step S2 of constructing a physical evaluation model for soil in an alpine mountainous area and obtaining a physical evaluation index value based on the experimental data and the physical evaluation model comprises the following steps:

[0040] S21. Construct soil and water conservation capacity assessment model and soil frost resistance assessment model.

[0041] Specifically, the constructed soil and water conservation capacity assessment model satisfies the following formula:

[0042]

[0043] in, Indicates the soil water conservation capacity. Indicates the bulk density of soil, unit: grams per cubic centimeter, represents the damping coefficient of the soil, Indicates the average particle size of the soil, in microns. represents the average effective porosity of the soil, Indicates the infiltration rate of soil, unit: millimeter per minute.

[0044] The constructed soil freeze-thaw resistance evaluation model satisfies the following formula:

[0045]

[0046] in, Indicates the soil's ability to resist freezing and thawing. Represents the Young's modulus of the soil, unit: MPa, Indicates the slope of the slope where the soil is located, Indicates the cohesion index of soil, unit: kPa, represents the maximum principal stress of the soil, represents the average principal stress of the soil, represents the minimum principal stress of the soil, is the internal friction angle of the soil, represents the Poisson's ratio of the soil, Indicates the thickness of the soil in centimeters.

[0047] S22. Obtaining the soil and water conservation capacity of the soil in the high-cold mountainous area through the soil water and soil conservation capacity evaluation model and the experimental data.

[0048] Soil and water conservation capacity refers to the ability of soil to retain water and soil particles from being eroded and lost in large quantities under the action of external forces such as rainfall and runoff. This ability is crucial to maintaining the stability of the ecosystem and promoting sustainable development. The present invention specifically quantifies the soil and water conservation capacity through test data and a soil and water conservation capacity assessment model, further laying a foundation for objective evaluation of soil physical indicators.

[0049] S23. Obtaining the freeze-thaw resistance of soil in high-cold mountainous areas through the soil freeze-thaw resistance evaluation model and the experimental data.

[0050] Due to natural factors such as low temperature, little precipitation, and poor vegetation coverage in high-altitude mountainous areas, the formation and development process of soil is relatively slow, resulting in a thin soil layer and low soil fertility. At the same time, due to the large temperature difference between day and night, the soil is often affected by freeze-thaw, which can also cause soil structure destruction and soil particle dispersion, thereby affecting the soil's ability to retain water and fertilizer. Therefore, soil resistance to freeze-thaw is also an important factor in the evaluation of soil quality in the matrix layer in high-altitude mountainous areas.

[0051] Soil freeze-thaw resistance refers to the ability of soil to maintain its structural and functional stability after freezing and thawing. This ability is of great significance to the long-term stability of soil and the sustainable development of the ecosystem. The present invention quantifies the freeze-thaw resistance through test data and soil freeze-thaw resistance evaluation model, and further lays a foundation for objective evaluation of soil physical indicators.

[0052] S3. Setting the membership function of the soil quality evaluation index and the physical evaluation index, and obtaining the membership of the soil quality evaluation index and the physical evaluation index through the experimental data, the physical evaluation index value and the membership function.

[0053] In the embodiment, the soil quality evaluation index in step S3 includes chemical evaluation index, environmental evaluation index and biological evaluation index.

[0054] Furthermore, the chemical evaluation indicators include pH, total nitrogen content, total phosphorus content, total potassium content, alkaline nitrogen content, effective phosphorus content, available potassium content, organic carbon content and organic matter content; the environmental evaluation indicators include copper content, zinc content, chromium content, cadmium content, lead content and arsenic content; the biological evaluation indicators include the number of microorganisms.

[0055] Furthermore, the step S3 of setting the membership function of the soil quality evaluation index and the physical evaluation index comprises the following steps:

[0056] S31. Setting a first membership function type, a second membership function type, and a third membership function type.

[0057] Specifically, the first membership function type satisfies the following formula:

[0058]

[0059] The second membership function type satisfies the following formula:

[0060]

[0061] The third membership function type satisfies the following formula:

[0062]

[0063] in, represents the membership value, represents the actual value of each evaluation index, , , , Indicates the threshold value of each evaluation indicator.

[0064] S32, classifying the indicator types of soil quality evaluation indicators and physical evaluation indicators, matching the membership function types according to the indicator types, and setting the thresholds of the corresponding membership function types.

[0065] It should be understood that among the evaluation indicators, there are evaluation indicators whose higher index values ​​are more beneficial to soil health, which are applicable to the first membership function type; there are also evaluation indicators whose lower index values ​​are more beneficial to soil health, which are applicable to the second membership function type; there are also evaluation indicators whose index values ​​are most beneficial to soil health when they are within a certain value range, and the farther away from the value range, the more unfavorable to soil health, which are applicable to the third membership function type. Therefore, it is necessary to divide the indicator types of soil quality evaluation indicators and physical evaluation indicators, match the membership function type according to the indicator type, and set the threshold of the corresponding membership function type.

[0066] Specifically, the evaluation indicators of organic matter content, organic carbon content, total nitrogen content, effective phosphorus content, available potassium content, total phosphorus content, alkaline nitrogen content, total potassium content and microbial quantity are divided into the upper type, matching the first membership function type; the evaluation indicators of copper content, zinc content, chromium content, cadmium content, lead content and arsenic content are divided into the lower type, matching the second membership function type; the evaluation indicators of pH, frost resistance and soil and water conservation capacity are divided into the peak type, matching the third membership function type.

[0067] Further, referring to the national soil survey data, "Cultivated Land Quality Grade", "Soil Environmental Quality Agricultural Land Soil Pollution Risk Control Standard", "National Cultivated Land Quality Grade Evaluation Index System" and the practical evaluation experience of slope restoration soil in high-cold mountainous areas, the threshold of the corresponding membership function type is set. In this embodiment, the corresponding evaluation index threshold is set as shown in Table 1, which is an evaluation index membership function threshold table, as follows:

[0068]

[0069] S4. Weights are assigned to the soil quality evaluation index and the physical evaluation index, and the quality evaluation result of the soil in the high-cold mountainous area is obtained by combining the membership degree and the weight assignment result.

[0070] In the embodiment, the weight allocation of the soil quality evaluation index and the physical evaluation index in step S4 includes the following steps:

[0071] S41. Obtain assessment results from multiple relevant experts on the impact of the soil quality assessment indicators and the physical assessment indicators on soil quality.

[0072] The impact assessment results are the results of a number of relevant experts ranking the importance of the impact of each evaluation indicator on soil quality, with the most important indicator ranked first and the least important indicator ranked last.

[0073] S42. Obtaining the comprehensive weight distribution of the soil quality evaluation index and the physical evaluation index according to the ranking of the impact degree assessment results.

[0074] Specifically, according to the ranking of the impact assessment results, the comprehensive weight distribution of the soil quality evaluation index and the physical evaluation index is obtained, which satisfies the following formula:

[0075] in, Indicates The comprehensive weight of the evaluation index, represents the number of experts, Indicates Experts and The ranking similarity coefficient of the experts’ impact assessment results, represents the number of evaluation indicators, Indicates Experts on Ranking of evaluation indicators.

[0076] In this embodiment, the Euclidean distance is used to calculate the ranking similarity coefficient of the impact assessment results between experts; in some other embodiments, the Manhattan distance, cosine similarity, Pearson correlation coefficient, Jaccard similarity coefficient, Hamming distance and other algorithms can also be used to calculate the ranking similarity coefficient of the impact assessment results between experts.

[0077] Furthermore, by combining the membership degree and weight distribution results, the quality evaluation results of the soil in the alpine mountainous area are obtained, which satisfies the following formula:

[0078]

[0079] in, It represents the quality evaluation value of soil in high-cold mountainous areas. Indicates The comprehensive weight of the evaluation index, Indicates The degree of membership of the evaluation index.

[0080] Furthermore, the quality evaluation of the soil in the alpine mountainous area is completed according to the quality evaluation value of the soil in the alpine mountainous area and the soil health classification standard. In this embodiment, the soil health classification standard is shown in Table 2, as follows:

[0081]

[0082] In the process of slope restoration in high-cold mountainous areas, the soil quality evaluation method and system of the present invention can quickly and accurately determine the soil quality problems in the matrix layer, further improve the efficiency of slope restoration, and reduce unnecessary workload.

[0083] See also Figure 2 In an embodiment, in order to efficiently execute the method for evaluating soil quality in a high-cold mountainous area provided by the present invention, the present invention also provides a system for evaluating soil quality in a high-cold mountainous area, including: an input device, an output device, a processor, and a memory, wherein the input device, the output device, the processor, and the memory are interconnected, and the memory contains program instructions, and the program instructions are used for the steps of the method for evaluating soil quality in a high-cold mountainous area. The system for evaluating soil quality in a high-cold mountainous area of ​​the present invention has a compact structure and stable performance, and can stably execute the method for evaluating soil quality in a high-cold mountainous area of ​​the present invention, further improving the overall applicability and practical application ability of the present invention.

[0084] In an embodiment, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. An input device may be used to obtain data information. An output device may be used to output the results obtained by storing program instructions contained in a computer program in a 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 portion of the memory may also include a non-volatile random access memory.

[0085] In yet another alternative embodiment, see Figure 3 In order to efficiently implement the method for evaluating soil quality in a high-cold mountainous area provided by the present invention, this embodiment also provides a device for evaluating soil quality in a high-cold mountainous area, such as Figure 3 As shown, including:

[0086] The memory 10 is used to store computer programs; the processor 20 is used to execute the computer programs to implement the above-mentioned high-cold mountain soil quality evaluation method. The memory 10, the processor 20, the communication interface 31 and the communication bus 32. The memory 10, the processor 20, and the communication interface 31 all communicate with each other through the communication bus 32.

[0087] In an embodiment, the memory 10 is used to store one or more program instructions. The memory 10 may store program instructions for implementing the following functions:

[0088] Acquire experimental data of soil samples in alpine mountainous areas; construct a physical evaluation model for soil in alpine mountainous areas, and obtain physical evaluation index values ​​based on the experimental data and the physical evaluation model; set membership functions for soil quality evaluation indexes and physical evaluation indexes, and obtain the membership of the soil quality evaluation indexes and the physical evaluation indexes through the experimental data, the physical evaluation index values, and the membership function; perform weight allocation on the soil quality evaluation indexes and the physical evaluation indexes, and obtain the quality evaluation results of soil in alpine mountainous areas by combining the membership and weight allocation results.

[0089] In one possible implementation, the memory 10 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, and at least one application required for a function, etc.; the data storage area may store data created during use. In addition, the memory 10 may include a read-only memory and a random access memory, and provide instructions and data to the processor. A portion of the memory may also include NVRAM. The memory stores an operating system and operating instructions, executable modules or data structures, or a subset thereof, or an extended set thereof, wherein the operating instructions may include various operating instructions for implementing various operations. The operating system may include various system programs for implementing various basic tasks and processing hardware-based tasks.

[0090] The processor 20 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic device, and the processor 20 may be a microprocessor or any conventional processor, etc. The processor 20 may call a program stored in the memory 10. The communication interface 31 may be an interface of a communication module, and is used to connect with other devices or systems.

[0091] Of course, it should be noted that Figure 3 The structure shown does not constitute a limitation on the soil quality evaluation device for high-cold mountainous areas in this embodiment. In actual applications, the soil quality evaluation device for high-cold mountainous areas may include Figure 3More or fewer components than shown, or combinations of certain components.

[0092] 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 soil quality evaluation method in high-cold mountainous area are implemented.

[0093] The storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0094] In summary, the present invention constructs two physical evaluation indicators and then combines other soil quality evaluation indicators to establish a matrix layer soil quality evaluation system for high-cold mountainous areas. Then, a weight distribution algorithm is constructed according to the evaluation opinions of multiple experts. Finally, the soil quality evaluation results are obtained by combining the membership and corresponding weights of the matrix layer soil quality evaluation indicators for high-cold mountainous areas. This solves the problem of matrix layer soil quality evaluation suitable for slopes in high-cold mountainous areas and is helpful for slope management and restoration in high-cold mountainous areas.

[0095] Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0096] 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 it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope recorded in the present invention.

Claims

1. A method for evaluating soil quality in high-cold mountainous areas, characterized in that: The method for evaluating soil quality in the substrate layer of the alpine mountainous area comprises the following steps: Obtain experimental data on soil samples from high-altitude mountainous areas; Constructing a physical evaluation model for soil in high-cold mountainous areas, and obtaining physical evaluation index values ​​based on the experimental data and the physical evaluation model; Setting a membership function of a soil quality evaluation index and a physical evaluation index, and obtaining the membership of the soil quality evaluation index and the physical evaluation index through the experimental data, the physical evaluation index value and the membership function; Performing weight distribution on the soil quality evaluation index and the physical evaluation index, and combining the membership degree and the weight distribution result to obtain the quality evaluation result of the soil in the high-cold mountainous area; The method of constructing a physical evaluation model for soil in an alpine mountainous area and obtaining a physical evaluation index value based on the experimental data and the physical evaluation model comprises the following steps: Construct soil and water conservation capacity assessment model and soil freeze-thaw resistance assessment model; The soil and water conservation capacity of the soil in the high-cold mountainous area is obtained by using the soil and water conservation capacity evaluation model and the experimental data; The anti-freeze-thaw capacity of soil in high-cold mountainous areas is obtained by using the soil anti-freeze-thaw capacity evaluation model and the experimental data; The soil and water conservation capacity assessment model satisfies the following formula: ， in, Indicates the soil water conservation capacity. Indicates the bulk density of soil, unit: grams per cubic centimeter, represents the damping coefficient of the soil, Indicates the average particle size of the soil, in microns. represents the average effective porosity of the soil, Indicates the infiltration rate of soil, unit: millimeter per minute; The soil freeze-thaw resistance evaluation model satisfies the following formula: ， in, Indicates the soil's ability to resist freezing and thawing. Represents the Young's modulus of the soil, unit: MPa, Indicates the slope of the slope where the soil is located, Indicates the cohesion index of soil, unit: kPa, represents the maximum principal stress of the soil, represents the average principal stress of the soil, represents the minimum principal stress of the soil, is the internal friction angle of the soil, represents the Poisson's ratio of the soil, Indicates the thickness of the soil, unit: cm; The step of setting the membership function of the soil quality evaluation index and the physical evaluation index comprises the following steps: Setting the first membership function type, the second membership function type and the third membership function type; Dividing the indicator types of soil quality evaluation indicators and physical evaluation indicators, matching the membership function types according to the indicator types, and setting the thresholds of the corresponding membership function types; The first membership function type satisfies the following formula: ， The second membership function type satisfies the following formula: ， The third membership function type satisfies the following formula: ， in, represents the membership value, represents the actual value of each evaluation index, , , , Indicates the threshold value of each evaluation index; The step of allocating weights to the soil quality evaluation index and the physical evaluation index comprises the following steps: Obtaining evaluation results from multiple relevant experts on the soil quality evaluation index and the impact of the physical evaluation index on soil quality; According to the ranking of the impact degree assessment results, obtaining the comprehensive weight distribution of the soil quality evaluation index and the physical evaluation index; According to the ranking of the impact assessment results, the comprehensive weight distribution of the soil quality evaluation index and the physical evaluation index is obtained, which satisfies the following formula: ， in, Indicates The comprehensive weight of the evaluation index, represents the number of experts, Indicates Experts and The ranking similarity coefficient of the experts’ impact assessment results, represents the number of evaluation indicators, Indicates Experts on Ranking of evaluation indicators.

2. The method for evaluating soil quality in alpine mountainous areas according to claim 1, characterized in that: The soil quality evaluation indicators include chemical evaluation indicators, environmental evaluation indicators and biological evaluation indicators; The chemical evaluation indicators include pH, total nitrogen content, total phosphorus content, total potassium content, alkaline nitrogen content, effective phosphorus content, available potassium content, organic carbon content and organic matter content; The environmental assessment indicators include copper content, zinc content, chromium content, cadmium content, lead content and arsenic content; The biological evaluation index includes the number of microorganisms.

3. A soil quality evaluation system for high-cold mountainous areas, characterized in that: The alpine mountain soil quality evaluation system includes: an input device, an output device, a processor, and a memory. The input device, output device, processor, and memory are interconnected. The memory includes program instructions, and the program instructions are used to execute the alpine mountain soil quality evaluation method according to claim 1 or 2.

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