Mountain city ecological environment restoration analysis method and system and medium

Abstract

The invention discloses a mountainous city ecological environment restoration analysis method which comprises the following steps: S1, acquiring mountainous terrain ecological state data, and performing index calculation on soil restoration, vegetation coverage and water quality restoration data; s2, performing ecological environment restoration decomposition through an analytic hierarchy process according to the index data, and performing index node updating operation according to decomposition content; and S3, according to an index node updating operation result, carrying out index comparison and judgment, and carrying out mountain terrain vegetation coverage restoration according to an ecological system restoration expected target.

Description

Technical Field

[0001] The present invention relates to the field of data analysis, and in particular to a method, system and medium for analyzing the restoration of an ecological environment in a mountainous city. Background Art

[0002] As society's all-round demand for high-quality ecological functions becomes increasingly strong, disorderly construction and ecological environment construction without scientific guidance will bring about many social and ecological problems. How to restore the function of the ecosystem and raise ecological environment construction to the national strategic level? In the existing technology, historical data optimization is performed by obtaining national land space ecological data, and then the deviation analysis is performed by comparing the real-time collected data to obtain the difference value of ecological environment restoration, so as to judge what kind of restoration means are needed for the plot. For example, in CN 115524452A, the cloud center of gravity evaluation method is used for the ecological restoration of lakes and wetlands. It is a method that reflects the actual situation of each indicator in the expected value and entropy value through quantified comment intervals, analyzes the deviation of each indicator, and thus identifies the gap between each work and the ideal state, so as to find out the problems that need to be solved urgently in the project. The cloud center of gravity evaluation method evaluates the ecological restoration effect of lakes and wetlands by quantifying comment intervals and deviations, but the evaluation results have a certain ambiguity; the subtle differences between different evaluation results are difficult to accurately explain and distinguish. Summary of the invention

[0003] The present invention aims to at least solve the technical problems existing in the prior art, and in particular innovatively proposes a mountain city ecological environment restoration analysis method, system and medium.

[0004] In order to achieve the above-mentioned object of the present invention, the present invention provides a mountain city ecological environment restoration analysis method, comprising:

[0005] S1, obtain the ecological status data of mountain terrain, and calculate the indicators of soil restoration, vegetation cover and water quality restoration data respectively;

[0006] 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;

[0007] 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.

[0008] Preferably, the above technical solution is that S1 comprises:

[0009] 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.

[0010] 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 ).

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

[0012] S1-3, due to the particularity of mountainous terrain, altitude difference and slope are factors that affect soil remediation.

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

[0014] 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.

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

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

[0017] S1-4, vegetation coverage index calculation, needs to consider the normalized vegetation index,

[0018] Among them, α is the vegetation cover adjustment index, η is the basic vegetation coverage rate, and NDVI is the normalized vegetation index;

[0019] When the vegetation cover adjustment index is greater than 1, multiplying it by NDVI will amplify the NDVI value, thereby enhancing the sensitivity to changes in vegetation cover, which helps 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 it by NDVI will reduce the NDVI value, thereby reducing the sensitivity to changes in vegetation cover, which is more applicable in areas with low vegetation cover or sparse vegetation growth to avoid exaggerating changes in vegetation cover.

[0020] S1-5, in the restoration of mountainous terrain environment, the water quality recovery index (WQRI) is calculated by considering the factors of elevation (Elevation, E) and slope (S). The water quality recovery index is calculated as:

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

[0022] In the above technical solution, preferably, S2 comprises:

[0023] 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;

[0024] Target layer = {Maximize the ecological restoration effect of mountainous terrain}

[0025] Criteria layer = {soil restoration, vegetation cover, water quality restoration}

[0026] 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}

[0027] Solution layer = {adding organic fertilizer and humus, chemical leaching, bioremediation, building street dance pipelines, ecological slope protection, planting aquatic plants, regular monitoring of water quality}

[0028] Since the sub-criteria layer needs to quantify the goals of ecological restoration, the acquired soil restoration, vegetation cover and water quality restoration data are integrated, and entity correlation is established by mining the implicit relationship between the soil restoration, vegetation cover and water quality restoration data. If a certain soil restoration, vegetation cover 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.

[0029] In the above technical solution, preferably, S2 comprises:

[0030] 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,

[0031] The tree structure is supplemented with parameter details by updating the ecological restoration index calculation data in real time. 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.

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

[0033] 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.

[0034] In the above technical solution, preferably, S3 includes:

[0035] 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;

[0036] 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;

[0037] 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.

[0038] The present invention also discloses a mountain city ecological environment restoration analysis system, comprising: using a memory and a controller, wherein 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. When the computer-readable program is called by a controller, the steps of the mountain city ecological environment restoration analysis method can be executed.

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

[0041] By obtaining data on the ecological status of mountainous terrain and calculating key indicators of soil restoration, vegetation coverage, and water quality restoration, this method can accurately identify specific problems in the ecological environment of mountainous cities. The use of the analytic hierarchy process to scientifically decompose the ecological environment restoration tasks helps to break down complex restoration work into a series of operational and manageable subtasks. During the restoration process, the comparison and judgment of indicators based on the update operation results of the indicator nodes can timely discover problems and deviations in the restoration work. This flexibility is particularly important for coping with complex and changing ecological environment restoration tasks.

[0042] The core of this method is to restore vegetation cover in mountainous terrain according to the expected goal of ecosystem restoration. By restoring vegetation cover in mountainous terrain, soil quality, water quality, and biodiversity can be effectively improved, thereby promoting the recovery and balance of the entire ecosystem. This is of great significance for improving the ecological environment quality of mountainous cities and enhancing the ecosystem service function.

[0043] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through 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 easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0045] Figure 1 It is an overall schematic diagram of the present invention. DETAILED DESCRIPTION

[0046] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

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

[0048] S1, obtain the ecological status data of mountain terrain, and calculate the indicators of soil restoration, vegetation cover and water quality restoration data respectively;

[0049] 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;

[0050] 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.

[0051] In the above technical solution, preferably, S2 comprises:

[0052] 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.

[0053] 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 );

[0054] S1-3, due to the particularity of mountainous terrain, altitude difference and slope are factors that affect soil remediation.

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

[0056] 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.

[0057] 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.

[0058] S1-4, vegetation coverage index calculation, needs to consider the normalized vegetation index,

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

[0060] When the vegetation cover adjustment index is greater than 1, multiplying it by NDVI will amplify the NDVI value, thereby enhancing the sensitivity to changes in vegetation cover, which helps 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 it by NDVI will reduce the NDVI value, thereby reducing the sensitivity to changes in vegetation cover, which is more applicable in areas with low vegetation cover or sparse vegetation growth to avoid exaggerating changes in vegetation cover.

[0061] S1-5, in the restoration of mountainous terrain environment, the water quality recovery index (WQRI) is calculated by considering the factors of elevation (Elevation, E) and slope (S). The water quality recovery index is calculated as:

[0062] WQRI=f(PI|WQPs), where WQPs represents the comprehensive evaluation results 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 the forms of ammonia nitrogen, nitrate nitrogen, and nitrite nitrogen, and is also one of the important indicators for evaluating the degree of water pollution and the self-purification capacity of water bodies.

[0064] Collect ecological monitoring data on 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 the elevation and slope data of the corresponding monitoring points; clean and pre-process 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 "Surface Water Environmental 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 means the better the water quality, the calculation method of its single pollution index may be different from that of other pollutants;

[0067] As terrain factors, the impact of elevation and slope on water quality recovery index can be reflected by introducing corresponding correction coefficients. These correction coefficients can be obtained by establishing the relationship between elevation and slope through regression analysis, neural network and other models.

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

[0069] :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 )]

[0070] Among them, I DO , I COD , I BOD , I TP , I TN They are the individual pollution indices of dissolved oxygen, chemical oxygen demand, biochemical oxygen demand, total phosphorus and total nitrogen. The weighted average method can assign different weights according to the degree of influence of different water quality parameters on water pollution.

[0071] The calculation of water quality restoration index considering elevation and slope factors is a relatively complex process, which requires comprehensive consideration of water quality parameters, terrain conditions and ecological restoration effects. GIS technology and remote sensing technology are needed to support the calculation process.

[0072] In the above technical solution, preferably, S2 comprises:

[0073] 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;

[0074] Target layer = {Maximize the ecological restoration effect of mountainous terrain}

[0075] Criteria layer = {soil restoration, vegetation cover, water quality restoration}

[0076] 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}

[0077] Solution layer = {adding organic fertilizer and humus, chemical leaching, bioremediation, building street dance pipelines, ecological slope protection, planting aquatic plants, regular monitoring of water quality}

[0078] Since the sub-criteria layer needs to quantify the goals of ecological restoration, the acquired soil restoration, vegetation cover and water quality restoration data are integrated, and entity correlation is established by mining the implicit relationship between the soil restoration, vegetation cover and water quality restoration data. If a certain soil restoration, vegetation cover 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.

[0079] Experts and crowdsourcing are used to manually construct a tree structure, which is then expanded according to the vegetation coverage conditions of mountain terrain. In addition, implicit knowledge is mined from the existing knowledge of ecological restoration of national land space and the relationship between entities is established.

[0080] S2-2, based on the tree structure of ecological restoration, start with a root directory, analogized to the core elements or overall goals of the ecosystem. For example, in mountainous urban ecological restoration, the "overall goal of ecological restoration" can be used as the root directory.

[0081] Datasets and practical experience in the field of mountain terrain ecosystem restoration, construct a preliminary framework of the tree structure, and determine the main branches (such as soil restoration, vegetation cover and water quality restoration) and secondary branches (such as mass moisture weight coefficient, volume moisture weight coefficient, soil water layer thickness weight coefficient, elevation factor weight, slope factor weight, vegetation cover regulation index, basic vegetation coverage, dissolved oxygen, chemical oxygen demand, biochemical oxygen demand, total phosphorus, total nitrogen).

[0082] The parameter details of the tree structure are supplemented by updating the ecological restoration index calculation data in real time. 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 (such as slope, soil type, altitude, etc.), main vegetation types and their distribution, and species coverage. Then, according to these conditions, the tree structure is expanded, and the existing mountain terrain ecological restoration data are collected and integrated, and the data are classified according to the data content of different criterion layers, namely soil restoration, vegetation coverage, and water quality restoration.

[0083] 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.

[0084] Let R be the root directory of ecological restoration, B i As the main branch, S ij For secondary branches, D ijk is a detail node, the tree structure is represented as:

[0085] R->{B1, B2, ..., B n}->{S 11 , S 12 , ..., S mn}->{D 111 , D 112 , ..., D pqr}

[0086] Where n is the number of main branches, m is the number of sub-branches under a main branch, and pqr is the position identifier of the detail node under a specific sub-branch. n, m and p, q, r are natural numbers.

[0087] In the above technical solution, preferably, S3 includes:

[0088] 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;

[0089] 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;

[0090] 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.

[0091]

[0092]

[0093] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that 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; 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 changes in vegetation cover, which helps 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 it by NDVI will reduce the NDVI value, thereby reducing the sensitivity to changes in vegetation cover, which is more applicable in areas with low vegetation cover or sparse vegetation growth to avoid exaggerating changes in vegetation cover. S1-5, in the restoration of mountainous terrain environment, the water quality recovery index (WQRI) is calculated by considering the factors of elevation (Elevation, E) and slope (S). The water quality recovery index is calculated as: WQRI=f(PI|WQPs), where WQPs represents the comprehensive evaluation results of a set of water quality parameters (including DO, COD, BOD, TP, TN).

5. The mountain city ecological environment restoration analysis method according to claim 1 is characterized in that: 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, building street dance pipelines, ecological slope protection, planting 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 cover and water quality restoration data are integrated, and entity correlation is established by mining the implicit relationship between the soil restoration, vegetation cover and water quality restoration data. If a certain soil restoration, vegetation cover 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.

6. The mountain city ecological environment restoration analysis method according to claim 1 is characterized in that: The S2 includes: 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, The tree structure is supplemented with parameter details by updating the ecological restoration index calculation data in real time. 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.

7. The mountain city ecological environment restoration analysis method according to claim 1 is characterized in that: The S2 further includes: 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.

8. 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.

9. 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 8 can be executed.

10. 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 8 can be executed.

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