Analysis Method, System and Medium for Ecological Environment Restoration of Mountainous Cities

Abstract

The present invention discloses an analysis method for ecological environment restoration in mountain cities, which includes the following steps: S1, obtaining ecological state data of mountain terrain, and calculating indexes for soil restoration, vegetation coverage, and water quality restoration data respectively; S2, decomposing ecological environment restoration through the analytic hierarchy process according to the index data, and performing index node update operations according to the decomposition content; S3, comparing and judging the indexes according to the results of the index node update operations, and carrying out vegetation coverage restoration of mountain terrain for the expected goals of ecosystem restoration.

Description

Technical Field

[0001] The present invention relates to the field of data analysis, and particularly to an analysis method, system, and medium for ecological environment restoration in mountain cities. Background Art

[0002] With the increasing strong all-round demand for high-quality ecological functions in society, disorderly construction and ecological environment construction lacking scientific guidance will bring many social and ecological problems. How to repair the functions of the ecosystem and elevate the ecological environment construction to the national strategic level? In the existing technology, by obtaining national land space ecological data to optimize historical data, and then comparing the real-time collected data for offset analysis, the difference value of ecological environment restoration is obtained, so as to judge what kind of restoration means are needed for the land plot. For example, in CN 115524452A for lake wetland ecological restoration, the cloud center of gravity evaluation method is a method that quantifies the comment interval, reflects the actual situation of each index in the expected value and entropy value, analyzes the deviation degree of each index, so as to identify the gap between each work and the ideal state, and find out the problems that need to be solved urgently in the project. The cloud center of gravity evaluation method evaluates the effect of lake wetland ecological restoration by quantifying the comment interval and deviation degree, but the evaluation result has a certain degree of ambiguity; it is difficult to accurately explain and distinguish the subtle differences between different evaluation results. Summary of the Invention

[0003] The present invention aims to at least solve the technical problems existing in the prior art, and particularly innovatively provides an analysis method, system, and medium for ecological environment restoration in mountain cities.

[0004] To achieve the above object of the present invention, the present invention provides an analysis method for ecological environment restoration in mountain cities, including:

[0005] S1. Obtain the ecological state data of the mountain terrain, and calculate the indexes for the soil restoration, vegetation coverage, and water quality restoration data respectively;

[0006] S2. Decompose the ecological environment restoration through the analytic hierarchy process according to the index data, and perform the index node update operation according to the decomposition content;

[0007] S3. According to the result of the index node update operation, perform index comparison and judgment, and perform mountain terrain vegetation coverage restoration for the expected target of ecosystem restoration.

[0008] Preferably, the above technical solution, the S1 includes:

[0009] S1-1. Obtain the ecological state data of the mountain terrain, and extract the data sets of a certain period from the real-time soil restoration, vegetation coverage, and water quality restoration data sources respectively,

[0010] S1-2. Establish normalized monitoring data for soil remediation, vegetation coverage, and water quality restoration datasets respectively. Among them, for the soil remediation data, the soil mass water content where W1 is the mass of wet soil and W2 is the mass of oven-dried soil, and the volumetric water content V w is the volume occupied by water, and V s is the total volume of soil; the thickness of the soil water layer H = H T ×θ v = H T ×θ m ×ρ, where H T is the thickness of the soil layer and ρ is the soil bulk density (g / cm 3 ).

[0011] Preferably, the above technical solution, S1 further includes:

[0012] S1-3. Due to the particularity of the mountain terrain, both the altitude drop and the slope are factors affecting soil remediation.

[0013] The soil remediation effect index for mountain terrain MSRI = β×θ m +γ×θ v +ε×H+δ×Eh+λ×Sp;

[0014] where β is the weight coefficient of mass water content, γ is the weight coefficient of volumetric water content, γ is the weight coefficient of soil water layer thickness,

[0015] The elevation factor Eh obtains altitude data through GIS technology and performs grading or standardization according to the actual situation; the slope factor Sp can also obtain slope data through GIS technology and perform corresponding processing, with the weight of the elevation factor δ and the weight of the slope factor λ.

[0016] Preferably, the above technical solution, S1 further includes:

[0017] S1-4. Calculation of vegetation coverage indicators needs to consider the normalized difference vegetation index.

[0018] where α is the vegetation coverage adjustment index, η is the basic vegetation coverage rate, and NDVI is the normalized difference vegetation index;

[0019] When the vegetation cover adjustment index is greater than 1, multiplying by NDVI will amplify the value of NDVI, thereby enhancing the sensitivity to changes in vegetation cover and helping to more accurately monitor changes in vegetation cover in areas with high vegetation cover or lush vegetation growth. On the contrary, when the vegetation cover adjustment index is less than 1, multiplying by NDVI will reduce the value of NDVI, thereby weakening the sensitivity to changes in vegetation cover, which is more applicable in areas with low vegetation cover or sparse vegetation growth to avoid overexaggerating changes in vegetation cover.

[0020] S1-5. In the restoration of mountain terrain environment, considering the factors of elevation (E) and slope (S), the calculation of the water quality recovery index (WQRI) for water quality restoration is as follows:

[0021] WQRI = f(PI|WQPs), where WQPs represents the comprehensive evaluation result of a set of water quality parameters (including DO, COD, BOD, TP, TN).

[0022] Preferably, the above technical solution, the S2 includes:

[0023] S2-1. Establish a decision-making mechanism based on the calculated mountain terrain ecological restoration index, and establish a hierarchical model through the analytic hierarchy process according to the ecological restoration expectation of the mountain terrain;

[0024] Goal layer = {Maximizing the ecological restoration effect of mountain terrain};

[0025] Criterion layer = {Soil restoration, Vegetation cover, Water quality restoration};

[0026] Sub-criterion layer = {Weight coefficient of mass water content, Weight coefficient of volumetric water content, Weight coefficient of soil water layer thickness, Elevation factor weight, Slope factor weight, Vegetation cover adjustment index, Basic vegetation coverage rate, Dissolved oxygen, Chemical oxygen demand, Biochemical oxygen demand, Total phosphorus, Total nitrogen};

[0027] Alternative layer = {Adding organic fertilizer and humus soil, Chemical leaching, Bioremediation, Building a sewage interception pipeline, Ecological slope protection, Aquatic plant planting, Regular water quality monitoring};

[0028] Since the sub-criterion layer needs to specifically quantify the goals of ecological restoration, integrate the obtained data on soil restoration, vegetation cover, and water quality restoration, establish entity correlations by exploring the implicit relationships between the data on soil restoration, vegetation cover, and water quality restoration. If it is found that a certain soil restoration, vegetation cover, and water quality restoration technology is particularly effective in the process of ecological restoration, then establish the relationship between the data of this technology and the ecological restoration node in the tree structure, and the establishment of the relationship is achieved by adding new branches, connecting nodes, or updating node attributes.

[0029] Preferably, the above technical solution, S2 includes:

[0030] S2-2, starting from a root directory according to the tree structure of ecological restoration, the dataset and practical experience in the field of mountain terrain ecosystem restoration, constructing a preliminary framework of the tree structure, and determining the main branches.

[0031] By participating in real-time updated ecological restoration index calculation data to supplement the parameter details of the tree structure. According to the expansion of the conditions for mountain terrain ecological restoration, add nodes related to the conditions for mountain terrain ecological restoration. This includes identifying key terrain features, and then, expanding the tree structure according to these conditions, by collecting and integrating existing mountain terrain ecological restoration data, classifying these data according to the data content of different criterion layers, namely soil restoration, vegetation coverage, and water quality restoration.

[0032] Preferably, the above technical solution, S2 further includes:

[0033] S2-3, determining the implicit data content, identifying the synergistic effects between different ecological restoration data, the restoration indicators and restoration factors under specific terrain conditions, and based on the mined implicit knowledge, establishing new relationships between entities.

[0034] Preferably, the above technical solution, S3 includes:

[0035] S3-1, according to the tree-updated soil restoration, vegetation coverage, and water quality restoration data, obtain the basic data of soil restoration, vegetation coverage, and water quality restoration in mountain terrain ecological restoration;

[0036] S3-2, according to the overall assessment goal of the mountain terrain ecological environment, judge whether the difference between the tree-updated soil restoration, vegetation coverage, and water quality restoration data is greater than the preset value. If it is greater than the preset value, then maintain the soil restoration, vegetation coverage, and water quality restoration data according to the GIS geographical image;

[0037] S3-3, if it is less than or equal to the preset value, then extract the sub-criterion layer data according to the tree-updated soil restoration, vegetation coverage, and water quality restoration data, and judge the deviation degree of the extracted data from the preset value one by one, and carry out mountain terrain ecological restoration, and formulate a mountain terrain ecological restoration plan according to the plan layer.

[0038] The present invention also discloses a mountain city ecological environment restoration analysis system, including: using a memory and a controller, the memory stores a computer-readable program, and when the computer-readable program is called by the controller, it can execute the steps of the mountain city ecological environment restoration analysis method.

[0039] The present invention also discloses a medium storing a computer-readable program, which, when called by a controller, can execute the steps of the mountain city ecological environment restoration analysis method described above.

[0040] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present invention are as follows:

[0041] By obtaining the ecological state data of the mountain terrain and calculating the key indicators of soil restoration, vegetation coverage, and water quality restoration, this method can accurately identify the specific problems existing in the ecological environment of mountain cities. Using the analytic hierarchy process to scientifically decompose the ecological environment restoration tasks helps to refine complex restoration work into a series of operable and manageable subtasks. During the restoration process, comparing and judging the indicators based on the updated operation results at the index nodes can timely detect the problems and deviations existing in the restoration work. This flexibility is particularly important for dealing with complex and changeable ecological environment restoration tasks.

[0042] Restoring the vegetation coverage of the mountain terrain for the expected goal of ecosystem restoration is the core content of this method. By restoring the vegetation coverage of the mountain terrain, the soil quality can be effectively improved, the water quality can be enhanced, and biodiversity can be increased, thereby promoting the restoration and balance of the entire ecosystem. This is of great significance for improving the ecological environment quality of mountain cities and enhancing the ecological system service functions.

[0043] The additional aspects and advantages of the present invention will be partially given in the following description, partially become apparent from the following description, or be understood through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The above and / or additional aspects and advantages of the present invention will become apparent and be readily understood from the description of the embodiments in conjunction with the following drawings, wherein:

[0045] Figure 1 is the general schematic diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present invention and should not be construed as a limitation of the present invention.

[0047] As Figure 1 shown, the present invention discloses a mountain city ecological environment restoration analysis method, including the following steps:

[0048] S1. Obtain the ecological state data of the mountain terrain, and calculate the indicators for the soil restoration, vegetation coverage, and water quality restoration data respectively;

[0049] S2. Decompose the ecological environment restoration through the analytic hierarchy process according to the index data, and update the index nodes according to the decomposition content;

[0050] S3. According to the results of the index node update operation, conduct index comparison and judgment, and carry out the restoration of mountain terrain vegetation cover for the expected goal of ecosystem restoration.

[0051] Preferably, the above technical solution, the S2 includes:

[0052] S1-1. Obtain the ecological state data of the mountain terrain, and extract the data sets of a certain period from the real-time soil restoration, vegetation cover, and water quality restoration data sources respectively.

[0053] S1-2. Establish normalized monitoring data for the soil restoration, vegetation cover, and water quality restoration data sets respectively. Among them, in the soil restoration data, the soil mass water content W1 is the wet soil mass, W2 is the oven-dried soil mass, the volumetric water content V w is the volume occupied by the water body, V s is the total volume of the soil; the soil water layer thickness H = H T ×θ v = H T ×θ m ×ρ, H T is the soil layer thickness, ρ is the soil bulk density (g / cm 3 );

[0054] S1-3. Due to the particularity of the mountain terrain, the altitude drop and slope are both factors affecting soil restoration.

[0055] The mountain terrain soil restoration effect index MSRI = β×θ m +γ×θ v +ε×H+δ×Eh+λ×Sp;

[0056] Among them, β is the mass water content weight coefficient, γ is the volumetric water content weight coefficient, γ is the soil water layer thickness weight coefficient.

[0057] The elevation factor Eh obtains the altitude data through the GIS technology, and conducts grading or standardization processing according to the actual situation; the slope factor Sp obtains the slope data through the GIS technology and conducts corresponding processing, the elevation factor weight δ, the slope factor weight λ.

[0058] S1-4. Calculate the vegetation cover index, and the normalized difference vegetation index needs to be considered.

[0059] Among them, α is the vegetation coverage adjustment index, η is the basic vegetation coverage rate, and NDVI is the normalized difference vegetation index;

[0060] When the vegetation coverage adjustment index is greater than 1, multiplying by NDVI will amplify the value of NDVI, thereby enhancing the sensitivity to changes in vegetation coverage and helping to more accurately monitor changes in vegetation coverage in areas with high vegetation coverage or lush vegetation growth; on the contrary, when the vegetation coverage adjustment index is less than 1, multiplying by NDVI will reduce the value of NDVI, thereby weakening the sensitivity to changes in vegetation coverage, which is more applicable in areas with low vegetation coverage or sparse vegetation growth to avoid over-exaggerating changes in vegetation coverage.

[0061] S1-5. In the restoration of mountain terrain environment, the calculation of the Water Quality Recovery Index (WQRI) considering the factors of elevation (Elevation, E) and slope (Slope, S) is as follows:

[0062] WQRI = f(PI|WQPs), where WQPs represents the comprehensive evaluation result of a set of water quality parameters (including DO, COD, BOD, TP, TN).

[0063] DO (Dissolved Oxygen): Dissolved oxygen. COD (Chemical Oxygen Demand): Chemical oxygen demand. BOD (Biological Oxygen Demand): Biochemical oxygen demand. TP (Total Phosphorus): Total phosphorus. TN (Total Nitrogen): Total nitrogen. It includes forms such as ammonia nitrogen, nitrate nitrogen, and nitrite nitrogen, and is also one of the important indicators for evaluating the degree of water body pollution and the self-purification ability of water bodies.

[0064] Collect ecological monitoring data of mountain terrain, including key water quality parameters such as dissolved oxygen (DO), chemical oxygen demand (COD), biochemical oxygen demand (BOD), total phosphorus (TP), and total nitrogen (TN).

[0065] Use GIS technology to obtain elevation and slope data of corresponding monitoring points; clean and preprocess the collected data, including missing value processing, outlier detection and correction, etc., to ensure the accuracy and reliability of the data;

[0066] For each water quality parameter, calculate its single pollution index according to the corresponding water quality standard (such as the "Surface Water Environment Quality Standard" (GB 3838—2002)). The single pollution index is usually expressed as the ratio of the measured concentration to the standard concentration limit; for dissolved oxygen (DO), since the higher its concentration indicates better water quality, the calculation method of its single pollution index may be different from that of other pollutants;

[0067] As topographic factors, elevation and slope can reflect their influence on the water quality restoration index by introducing corresponding correction factors. These correction factors can be obtained by establishing the relationship between elevation and slope through models such as regression analysis and neural networks.

[0068] The weighted average method is used to calculate the comprehensive index, and the weights (W DO , W COD , W BOD , W TP , W TN ) of each water quality parameter and the elevation and slope correction factors (K E , K S ) have been determined by a certain method. The calculation formula of the water quality comprehensive evaluation index PI is, where E represents the elevation factor and specific elevation data is obtained through the digital elevation model (DEM). S represents the slope factor and the slope value is calculated from the DEM data.: PI = K E *K S *[(W DO *I DO )+(W COD *I COD )+(W BOD *I BOD )+(W TP *I TP )+(W TN *I TN )]

[0069] Among them, I DO , I COD , I BOD , I TP , I TN are the single pollution indices of dissolved oxygen, chemical oxygen demand, biochemical oxygen demand, total phosphorus, and total nitrogen respectively. The weighted average method can assign different weights according to the degree of influence of different water quality parameters on water quality pollution.

[0070] Calculating the water quality restoration index considering elevation and slope factors is a relatively complex process, which requires comprehensive consideration of water quality parameters, topographic conditions, and ecological restoration effects. The calculation process needs to be supported by GIS technology and remote sensing technology.

[0071] Preferably, the above technical solution, the S2 includes:

[0072] S2-1, establishing a decision-making mechanism based on the calculated mountain terrain ecological restoration index, and establishing a hierarchical model through the analytic hierarchy process according to the ecological restoration expectation of the mountain terrain;

[0073] Goal layer = {Maximizing the ecological restoration effect of mountain terrain};

[0074] Criterion layer = {Soil remediation, Vegetation coverage, Water quality restoration};

[0075] Sub-criterion layer = {Weight coefficient of mass water content, Weight coefficient of volumetric water content, Weight coefficient of soil water layer thickness, Elevation factor weight, Slope factor weight, Vegetation coverage adjustment index, Basic vegetation coverage rate, Dissolved oxygen, Chemical oxygen demand, Biochemical oxygen demand, Total phosphorus, Total nitrogen};

[0076] Scheme layer = {Adding organic fertilizer and humus soil, Chemical leaching, Bioremediation, Constructing sewage interception pipelines, Ecological slope protection, Planting aquatic plants, Regularly monitoring water quality};

[0077] Since the sub-criterion layer needs to specifically quantify the goals of ecological restoration, integrate the obtained data on soil remediation, vegetation coverage, and water quality restoration, and establish entity correlations by mining the implicit relationships between the data on soil remediation, vegetation coverage, and water quality restoration. If it is found that a certain soil remediation, vegetation coverage, and water quality restoration technology is particularly effective in the process of ecological restoration, then establish the relationship between the technical data and the ecological restoration node in the tree structure. The establishment of the relationship is achieved by adding new branches, connecting nodes, or updating node attributes.

[0078] Adopt experts and crowdsourcing to manually construct a tree structure, then expand it according to the vegetation coverage conditions of the mountain terrain, and perform tasks such as mining implicit knowledge from existing national territorial space ecological restoration knowledge and establishing relationships between entities.

[0079] S2-2, starting from a root directory according to the tree structure of ecological restoration, analogous to the core elements or overall goals of the ecosystem. For example, in the ecological restoration of mountain cities, "Overall goals of ecological restoration" can be used as the root directory.

[0080] Based on the dataset and practical experience in the field of ecological restoration of mountain terrain ecosystems, construct a preliminary framework of the tree structure, and determine the main branches (such as soil remediation, vegetation coverage, and water quality restoration) and secondary branches (such as weight coefficient of mass water content, weight coefficient of volumetric water content, weight coefficient of soil water layer thickness, elevation factor weight, slope factor weight, vegetation coverage adjustment index, basic vegetation coverage rate, dissolved oxygen, chemical oxygen demand, biochemical oxygen demand, total phosphorus, total nitrogen).

[0081] Participate in supplementing the parameter details of the tree structure by calculating data for the ecological restoration index in real time. According to the expansion of the conditions for ecological restoration in mountainous terrain, add nodes related to the conditions for ecological restoration in mountainous terrain. This includes identifying key terrain features (such as slope, soil type, altitude, etc.), the main vegetation types and their distributions, and species coverage. Then, expand the tree structure according to these conditions, and classify the collected and integrated existing ecological restoration data in mountainous terrain according to the data content of different criterion layers, namely soil restoration, vegetation coverage, and water quality restoration.

[0082] S2-3. Determine the implicit data content, identify the synergistic effects between different ecological restoration data, the restoration indicators and restoration factors under specific terrain conditions, and based on the mined implicit knowledge, establish new relationships between entities.

[0083] Let R be the root directory of ecological restoration, B i be the main branches, S ij be the secondary branches, D ijk be the detail nodes, then the tree structure is represented as:

[0084] R -> {B1, B2,..., B n} -> {S 11 , S 12 ,..., S mn} -> {D 111 , D 112 ,..., D pqr}

[0085] Among them, n is the number of main branches, m is the number of secondary branches under a certain main branch, and pqr is the position identifier of the detail nodes under a specific secondary branch. n, m, and p, q, r are natural numbers.

[0086] Preferably, the above technical solution, the S3 includes:

[0087] S3-1. According to the tree-updated soil restoration, vegetation coverage, and water quality restoration data, obtain the basic data of soil restoration, vegetation coverage, and water quality restoration in the ecological restoration of mountainous terrain;

[0088] S3-2. According to the overall evaluation objective of the ecological environment in mountainous terrain, judge whether the difference in the tree-updated soil restoration, vegetation coverage, and water quality restoration data is greater than the preset value. If it is greater than the preset value, then maintain the soil restoration, vegetation coverage, and water quality restoration data according to the GIS geographical image;

[0089] S3-3, if it is less than or equal to the preset value, extract the sub-criterion layer data according to the data of tree-shaped updated soil remediation, vegetation coverage, and water quality restoration, and judge the deviation degree between the extracted data and the preset value one by one, and carry out ecological restoration of mountain terrain, and formulate an ecological restoration plan for mountain terrain according to the scheme layer.

[0090]

[0091]

[0092] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the claims and their equivalents.

Claims

1. A mountain city ecological environment restoration analysis method, characterized in that: include: S1, obtain the ecological status data of mountain terrain, and calculate the indicators of soil restoration, vegetation cover and water quality restoration data respectively; S2, decompose the ecological environment restoration through the hierarchical analysis method according to the indicator data, and update the indicator nodes according to the decomposition content; The S2 includes: S2-1, establish a decision-making mechanism based on the calculated mountain terrain ecological restoration index, and establish a hierarchical model through the hierarchical analysis method based on the ecological restoration expectations of mountain terrain; Target layer = {maximize the ecological restoration effect of mountainous terrain}; Criteria layer = {soil restoration, vegetation cover, water quality restoration}; Sub-criteria layer = {mass moisture weight coefficient, volume moisture weight coefficient, soil water layer thickness weight coefficient, elevation factor weight, slope factor weight, vegetation cover adjustment index, basic vegetation coverage, dissolved oxygen, chemical oxygen demand, biochemical oxygen demand, total phosphorus, total nitrogen}; Solution layer = {adding organic fertilizer and humus, chemical leaching, bioremediation, construction of sewage interception pipelines, ecological slope protection, planting of aquatic plants, regular monitoring of water quality}; Since the sub-criteria layer needs to quantify the goals of ecological restoration, the acquired soil restoration, vegetation coverage and water quality restoration data are integrated, and the entity correlation is established by mining the implicit relationship between the soil restoration, vegetation coverage and water quality restoration data. If a certain soil restoration, vegetation coverage and water quality restoration technology is found to be particularly effective in the ecological restoration process, then the relationship between the technology data and the ecological restoration node is established in the tree structure. The establishment of the relationship is achieved by adding new branches, connecting nodes or updating node attributes. S2-2, starting from a root directory based on the tree structure of ecological restoration, the data set and practical experience in the field of mountain terrain ecosystem restoration, construct a preliminary framework of the tree structure, determine the main branches, By updating the ecological restoration index calculation data in real time, the tree structure parameter details are supplemented; according to the conditions of ecological restoration of mountainous terrain, nodes related to the conditions of ecological restoration of mountainous terrain are added; this includes identifying key terrain features, and then expanding the tree structure according to these conditions, by collecting and integrating the existing mountainous terrain ecological restoration data, and classifying these data according to the data content of different criterion layers, namely soil restoration, vegetation cover, and water quality restoration; S2-3, determine the implicit data content, identify the synergistic effects between different ecological restoration data, restoration indicators and restoration factors under specific terrain conditions, and establish new relationships between entities based on the mined implicit knowledge; S3, based on the indicator node update operation results, compare indicators and make judgments, and carry out vegetation cover restoration in mountainous terrain according to the expected goals of ecosystem restoration.

2. The mountain city ecological environment restoration analysis method according to claim 1 is characterized in that: The S1 includes: S1-1, obtain the ecological status data of mountain terrain, and extract the data sets of a certain time period from the real-time soil restoration, vegetation cover and water quality restoration data sources respectively. S1-2: Normalized monitoring data are established for soil remediation, vegetation cover and water quality restoration data sets. The soil quality water content in the soil remediation data is W1 is the mass of wet soil, W2 is the mass of dried soil, and the volumetric water content V w is the volume occupied by water, V s is the total volume of soil; the thickness of soil water layer H = H T ×θ v =H T ×θ m ×ρ,H T is the soil layer thickness, ρ is the soil bulk density (g / cm 3 ).

3. The mountain city ecological environment restoration analysis method according to claim 1 is characterized in that: The S1 further comprises: S1-3, due to the particularity of mountainous terrain, altitude difference and slope are factors that affect soil remediation. Mountain terrain soil remediation effect index MSRI = β × θ m +γ×θ v +ε×H+δ×Eh+λ×Sp; Among them, β is the weight coefficient of mass water content, γ is the weight coefficient of volume water content, and γ is the weight coefficient of soil water layer thickness. The elevation factor Eh obtains altitude data through GIS technology and performs classification or standardization according to actual conditions; the slope factor Sp obtains slope data through GIS technology and performs corresponding processing, with the elevation factor weight δ and the slope factor weight λ.

4. The mountain city ecological environment restoration analysis method according to claim 1 is characterized in that: The S1 further comprises: S1-4, vegetation coverage index calculation, needs to consider the normalized vegetation index, Among them, α is the vegetation cover adjustment index, η is the basic vegetation coverage rate, and NDVI is the normalized vegetation index; When the vegetation cover adjustment index is greater than 1, multiplying it by NDVI will amplify the NDVI value, thereby enhancing the sensitivity to vegetation cover changes, which helps to more accurately monitor vegetation cover changes in areas with high vegetation cover or lush vegetation growth; on the contrary, when the vegetation cover adjustment index is less than 1, multiplying it by NDVI will reduce the NDVI value, thereby reducing the sensitivity to vegetation cover changes, which is more suitable in areas with low vegetation cover or sparse vegetation growth to avoid exaggerating vegetation cover changes; S1-5, in the restoration of mountainous terrain environment, the water quality restoration index WQRI is calculated considering the factors of elevation E and slope S. The water quality restoration index is calculated as: WQRI=f(PI|WQPs), where WQPs represents the comprehensive evaluation result of a set of water quality parameters.

5. The mountain city ecological environment restoration analysis method according to claim 1 is characterized in that: The S3 includes: S3-1, based on the soil restoration, vegetation coverage, and water quality restoration data of tree-like renewal, obtain the basic data of soil restoration, vegetation coverage, and water quality restoration in mountain terrain ecological restoration; S3-2, according to the overall assessment objectives of the ecological environment of mountainous terrain, determine whether the difference in soil restoration, vegetation coverage, and water quality restoration data of tree-like renewal is greater than the preset value. If it is greater than the preset value, maintain the soil restoration, vegetation coverage, and water quality restoration data according to the GIS geographic image; S3-3, if it is less than or equal to the preset value, then extract the sub-criteria layer data based on the tree-like updated soil restoration, vegetation coverage, and water quality restoration data, and judge the deviation between the extracted data and the preset value one by one, and carry out mountain terrain ecological restoration, and formulate a mountain terrain ecological restoration plan according to the plan layer.

6. A mountain city ecological environment restoration analysis system, characterized in that: include: A memory and a controller are used, wherein the memory stores a computer-readable program, and when the computer-readable program is called by the controller, the steps of the mountain city ecological environment restoration analysis method as described in any one of claims 1 to 5 can be executed.

7. A medium, characterized in that: A computer-readable program is stored in the memory, and when the computer-readable program is called by the controller, the steps of the mountain city ecological environment restoration analysis method as described in any one of claims 1 to 5 can be executed.

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