Wetland ecological resilience three-dimensional evaluation method
Through the three-dimensional evaluation method of wetland ecological toughness, the problem of incomplete evaluation of wetland ecological toughness in the existing technology is solved, and high-precision and low-cost ecological toughness evaluation is achieved.
Patent Information
- Application Number
- PCT/CN2024/083456
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-01-15
- Filing Date
- 2024-03-25
- Publication Date
- 2025-07-24
AI Technical Summary
The evaluation method of wetland ecological resilience in the prior art fails to fully reflect the state of ecological resilience and the quality of development, and has poor universality, and the evaluation results do not conform to the characteristics of resilience.
A three-dimensional evaluation method for wetland ecological toughness is proposed. By obtaining the wetland ecological raw data, the three-dimensional evaluation data is calculated, including resistance, resilience and adaptability data, and weight assignment and weight summing are performed to obtain the wetland ecological toughness value and conduct a comprehensive evaluation.
It has achieved a comprehensive disclosure of the ecological resilience level of wetlands, with low difficulty in obtaining open source data, wide application scope of evaluation methods, low operating cost, simple operation and high accuracy.
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Figure CN2024083456_24072025_PF_FP_ABST
Abstract
Description
A three-dimensional evaluation method for wetland ecological resilience Technical Field
[0001] The present invention belongs to the field of wetland foundation environment technology, and in particular relates to a three-dimensional evaluation method for wetland ecological resilience. Background Art
[0002] Ecological resilience is a comprehensive reflection of regional ecological resistance, ecological recovery, and ecological adaptability. It focuses on the ability of wetland ecosystems to absorb disturbances while maintaining their original structure and key functions. It is a process-based capability attribute. Resistance is the ability of wetland ecosystems to maintain a stable state in the early stages of internal or external human or natural disturbances; resilience refers to the ability of an ecosystem to maintain its basic characteristics and restore its balance when exposed to certain risks; and adaptability is the ability of wetland ecosystems to change their spatial layout and system structure after the disturbance ends to better respond to changes in ecological and environmental factors.
[0003] An information system resilience evaluation index system is constructed according to the information system resilience process; a preference matrix is constructed according to the relationship between the evaluation indicators in the information system resilience evaluation index system, wherein each element in the preference matrix is an interval value; the preset weight optimization model is optimized and solved through the preference matrix to obtain the final weight vector of the information system resilience evaluation index; the real-time data of the lowest-level evaluation indicators in the information system resilience evaluation index system is obtained; and the information system resilience evaluation value is obtained by combining the final weight vector of the information system resilience evaluation index and the real-time data.
[0004] However, the current evaluation methods for wetland ecological resilience mostly rely on statistical data, and the true meaning of "resilience" is not reflected in the selection of indicators. The evaluation methods also fail to fully reflect the status and development quality of wetland ecological resilience. The evaluation models for wetland ecological resilience in existing technologies have problems such as poor universality and the evaluation results do not conform to the resilience characteristics.
[0005] Summary of the Invention
[0006] In order to solve the above technical problems, the present invention proposes a three-dimensional evaluation method for wetland ecological resilience, which can comprehensively reveal the ecological resilience level of wetlands.
[0007] To achieve the above objectives, the present invention proposes a three-dimensional evaluation method for wetland ecological resilience, comprising:
[0008] Obtain original wetland ecological data;
[0009] Calculating three-dimensional evaluation data based on the original data;
[0010] Assigning weights to the three-dimensional evaluation data and performing weighted summation to obtain a wetland ecological resilience value;
[0011] The wetland ecological resilience is evaluated according to the wetland ecological resilience value.
[0012] Optionally, the wetland ecological original data includes: wetland image data and ecological resource consumption data.
[0013] Optionally, the three-dimensional evaluation data includes resistance data, resilience data and adaptability data.
[0014] Optionally, the resistance data includes: ecological risk index and habitat quality index;
[0015] The resilience data include: average distance index of ecological space and water system connectivity index;
[0016] The adaptability data includes: ecological resource carrying capacity index.
[0017] Optionally, obtaining the ecological risk index includes:
[0018] Based on the wetland image data, obtaining a wetland land use type data table;
[0019] Based on the wetland land use type data table, count the number and area of patches;
[0020] Obtaining the ecological risk index based on the number and area of the patches;
[0021] Obtaining the habitat quality index includes:
[0022] Wetland land types are divided into sensitive factors and threat factors, wherein cultivated land and construction land in the wetland land types are the threat factors, and the rest are the sensitive factors;
[0023] Determining sensitive factor parameters and threat factor parameters based on the sensitive factors and threat factors;
[0024] The habitat quality index is obtained based on the sensitive factor parameters and the threat factor parameters.
[0025] Optionally, obtaining the average distance index of the ecological space includes:
[0026] Calculate the average distance between plants and riverbanks based on the wetland image data, where the average distance is the average distance index of the ecological space;
[0027] Obtaining the water system connectivity index includes:
[0028] Acquiring river chain data based on the wetland image data;
[0029] Calculate connectivity index and water system density based on the river chain data;
[0030] The connectivity index and water system density are weighted and summed to obtain the water system connectivity index.
[0031] Optionally, the river chain data includes: river chain length, number of river chains, number of river chain intersection nodes and regional land area.
[0032] Optionally, obtaining the ecological resource carrying capacity index includes:
[0033] Based on the ecological resource consumption data, obtain an ecological footprint index and an output capacity index of productive land;
[0034] The ecological resource carrying capacity index is obtained by calculating the ratio of the ecological footprint index and the output capacity index of productive land.
[0035] Optionally, before performing weighted summation on the three-dimensional evaluation data, the method further includes: performing standardization processing on the three-dimensional evaluation data to obtain standard three-dimensional evaluation data.
[0036] Optionally, weighting the three-dimensional evaluation data and performing weighted summation to obtain the wetland ecological resilience value includes:
[0037] Weights are assigned to the standard three-dimensional evaluation data, and weighted summation is performed on the assigned standard three-dimensional evaluation data to obtain the wetland ecological resilience value.
[0038] Compared with the prior art, the present invention has the following advantages and technical effects:
[0039] The present invention can comprehensively reveal the ecological resilience level of wetlands. At the same time, wetland data, vector data and statistical data are all open source data. The acquisition of open source data is easy, the evaluation method has a wide range of applications, low operating costs, simple operation and high accuracy in wetland ecological resilience evaluation. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of this application. The exemplary embodiments and descriptions of this application are intended to explain this application and do not constitute an improper limitation on this application. In the accompanying drawings:
[0041] FIG1 is a flow chart of a three-dimensional evaluation method for wetland ecological resilience according to an embodiment of the present invention. DETAILED DESCRIPTION
[0042] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.
[0043] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0044] The present invention proposes a three-dimensional evaluation method for wetland ecological resilience, which is applied to the field of ecological environment monitoring technology, as shown in FIG1 , and specifically includes the following steps:
[0045] Based on wetland image data and ecological resource consumption data, three-dimensional evaluation data are calculated respectively, where the three-dimensional evaluation data includes resistance data, resilience data and adaptability data;
[0046] Standardize the three-dimensional evaluation data and assign weights to the processed three-dimensional evaluation data;
[0047] The assigned three-dimensional evaluation data are weighted and summed to obtain the wetland ecological resilience value, and the wetland ecological resilience evaluation is realized based on the wetland ecological resilience value.
[0048] Furthermore, the resistance data include: ecological risk index and habitat quality index.
[0049] Furthermore, the process of calculating the resistance data includes: obtaining a wetland land use type data table based on wetland image data, counting the number and area of patches based on the wetland land use type data table, and calculating the ecological risk index based on the number and area of patches; dividing the wetland ecological type into sensitive factors and threat factors, and determining the sensitive factor parameters and threat factor parameters based on the sensitive factors and threat factors respectively, and calculating the habitat quality index based on the sensitive factor parameters and threat factor parameters. i =aC i +bV i +cDO i (1) LL i =LD i ×LF i (3)
[0050] Where: LD i is the landscape disturbance degree; C i is the landscape fragmentation; Vi is the landscape separation; DO i is landscape dominance; LF i is landscape vulnerability; LL i is the degree of landscape loss; i is the land use type; the weights of a, b, and c are 0.5, 0.3, and 0.2 respectively; P iis the number of patches of the landscape type; P is the total number of landscape patches; Q i is the number of grids where the landscape type appears; Q is the total number of grids; A i is the patch area of the landscape type; A is the total landscape area; m is the risk area number; ERI m is the ecological risk index, A mi is the area of landscape type patches in risk areas.
[0051] Where: i is the land use type; Q ij is the habitat quality of the jth grid cell in the i-th land type; H ij is the habitat suitability of the jth grid cell in the i-th land type; D ij is the habitat degradation value of the jth grid cell in the i-th land type; D ij Half of the maximum value is taken as the value of the half-saturation constant K.
[0052] Furthermore, resilience data includes the ecological space average distance index and the water system connectivity index. The process for calculating resilience data includes: calculating the average distance from plants to riverbanks based on wetland imagery data, using this average distance as the ecological space average distance index; obtaining river chain data based on wetland imagery data, where river chain data includes: chain length, number of river chains, number of river chain intersections, and regional land area; calculating the connectivity index and water system density based on the river chain data; and weighting the connectivity index and water system density and taking the weighted sum to obtain the water system connectivity index.
[0053] Where: L1 ecological space average distance index; G ij Represents the distance from the gray landscape grid to the nearest green landscape grid; n is the number of gray landscape grids; p is the number of green landscape grids. W=0.5×(0.25×W α +0.5×W β +0.25×W γ )+0.5×W φ (10)
[0054] Where: L is the number of river chains; V is the number of nodes; W α The water system is circular; W β is the connectivity of water system nodes; W γ is the river chain connectivity; W Φ is the water system density, and its value is the ratio of the water system length to the regional land area; each constant is the indicator weight; W is the regional water system connectivity index.
[0055] Furthermore, the adaptability data includes an ecological resource carrying capacity index. The process of calculating the adaptability data includes: calculating the ecological footprint index and the output capacity index of productive land based on ecological resource consumption data, and then calculating the ratio of the ecological footprint index and the output capacity index to obtain the ecological resource carrying capacity index.
[0056] Furthermore, the process of obtaining the wetland ecological resilience value includes:
[0057] The three-dimensional evaluation data are subjected to Min-Max deviation standardization to obtain the processed three-dimensional evaluation data, and the processed three-dimensional evaluation data are weighted by the entropy weight method. The weighted summation of the assigned three-dimensional evaluation data is performed by linear weighting to obtain the wetland ecological resilience. The higher the resilience value, the better the wetland ecological resilience.
[0058] The method for Min-Max deviation standardization of three-dimensional evaluation data is:
[0059] Among them, y i is the standardized three-dimensional evaluation data, x i is the three-dimensional evaluation data, x j is the three-dimensional evaluation data sequence, and n is the number of three-dimensional evaluation sequences.
[0060] The above are merely preferred embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.
Claims
1. A three-dimensional evaluation method for wetland ecological resilience, characterized in that It includes: Obtain the original wetland ecological data; Based on the original data, calculate the three-dimensional evaluation data; Assign weights to the three-dimensional evaluation data and perform weighted summation to obtain the wetland ecological resilience value; Evaluate the wetland ecological resilience according to the wetland ecological resilience value.
2. The three-dimensional evaluation method for wetland ecological resilience according to claim 1, wherein The original wetland ecological data includes: wetland image data and ecological resource consumption data.
3. The three-dimensional evaluation method for wetland ecological resilience according to claim 2, characterized in that The three-dimensional evaluation data includes: resistance data, resilience data, and adaptability data.
4. The three-dimensional evaluation method for wetland ecological resilience according to claim 3, characterized in that The resistance data includes: ecological risk index and habitat quality index; The resilience data includes: ecological space average distance index and water system connectivity index; The adaptability data includes: ecological resource carrying capacity index.
5. The three-dimensional evaluation method for wetland ecological resilience according to claim 4, wherein Obtaining the ecological risk index includes: Based on the wetland image data, obtain the wetland land use type data table; Based on the wetland land use type data table, count the patch number and patch area; Based on the patch number and patch area, obtain the ecological risk index; Obtaining the habitat quality index includes: Divide the wetland land use type into sensitive factors and threat factors, where the cultivated land and construction land in the wetland land use type are the threat factors, and the rest are the sensitive factors; Based on the sensitive factors and threat factors, determine the sensitive factor parameters and threat factor parameters; Based on the sensitive factor parameters and threat factor parameters, obtain the habitat quality index.
6. The three-dimensional evaluation method for wetland ecological resilience according to claim 4, characterized in that Obtaining the ecological space average distance index includes: Based on the wetland image data, calculate the average distance from plants to the river bank, and the average distance is the ecological space average distance index; Obtaining the water system connectivity index includes: Based on the wetland image data, obtain the river chain data; Based on the river chain data, calculate the connectivity index and water system density; Assign weights to the connectivity index and water system density and perform weighted summation to obtain the water system connectivity index.
7. A three-dimensional evaluation method for wetland ecological resilience according to claim 6, characterized in that, The river chain data includes: river chain length, river chain number, river chain intersection node number, and regional land area.
8. The three-dimensional evaluation method for wetland ecological resilience according to claim 4, wherein Obtaining the ecological resource carrying capacity index includes: Based on the ecological resource consumption data, obtain the ecological footprint index and the output capacity index of productive land; Perform ratio calculation on the ecological footprint index and the output capacity index of productive land to obtain the ecological resource carrying capacity index.
9. The three-dimensional evaluation method for wetland ecological resilience according to claim 1, wherein, Before performing weighted summation on the three-dimensional evaluation data, it also includes: performing standardization processing on the three-dimensional evaluation data to obtain standard three-dimensional evaluation data.
10. The three-dimensional evaluation method for wetland ecological resilience according to claim 9, characterized in that Assigning weights to the three-dimensional evaluation data and performing weighted summation to obtain the wetland ecological resilience value includes: Assign weights to the standard three-dimensional evaluation data, and perform weighted summation on the weighted standard three-dimensional data to obtain the wetland ecological resilience value.
Citation Information
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