Deep-sea mining ecological restoration comprehensive zoning method based on efficient substratum

Abstract

The invention relates to the technical field of deep-sea mining ecological restoration, in particular to a deep-sea mining ecological restoration comprehensive zoning method based on an efficient substrate.The deep-sea mining ecological restoration comprehensive zoning method comprises the following steps that S1, a deep-sea mining area is divided, specifically, according to geographic information, substrate types, water flow modes and ecological characteristics of the mining area, the restoration area is preliminarily divided; s2, restoration area demand analysis: carrying out demand analysis on each divided restoration area, including an ecological diversity restoration demand, a water quality improvement demand and a biological population restoration demand, and evaluating a resource demand of each preliminarily divided restoration area; and S3, ecological restoration area division optimization: performing optimization adjustment on the divided restoration areas in combination with a restoration area demand analysis result, so that restoration resources are optimally configured. According to the deep sea ecological restoration system, the resource utilization efficiency is improved, the deep sea ecological restoration effect is guaranteed, and the sustainability of the ecological system is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of deep sea mining ecological restoration, and in particular to a comprehensive zoning method for deep sea mining ecological restoration based on a high-efficiency attachment base. Background Art

[0002] With the growing demand for deep-sea resource development, deep-sea mining activities have gradually increased worldwide. However, the deep-sea ecosystem has a complex structure and fragile ecological balance. The damage caused by mining activities has had a significant negative impact on marine biodiversity, water quality, and bottom structure. Therefore, how to effectively implement ecological restoration in the process of deep-sea mining and reduce damage to the deep-sea environment has become an important topic of current research. The comprehensive zoning ecological restoration method, which scientifically and rationally divides the restoration areas and allocates restoration resources based on the ecological needs of each region, is a potentially effective solution for deep-sea ecological restoration.

[0003] Existing deep-sea ecological restoration methods are mostly based on a single ecological parameter or basic monitoring technology, and lack multi-dimensional comprehensive analysis of different regions, resulting in inefficient resource allocation and limited restoration effects. In addition, current methods are usually unable to make real-time adjustments based on dynamically changing needs during the restoration process, making it difficult to achieve sustainable restoration of the ecosystem. Traditional restoration plans lack specificity in resource allocation, which can easily lead to waste of resources or neglect of important areas, ultimately resulting in poor restoration of deep-sea ecosystems and failure to effectively restore the ecological damage caused by mining activities.

[0004] The purpose of the present invention is to provide a comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base, which not only improves the utilization efficiency of restoration resources and the scientific nature of restoration measures, but also ensures the sustainability of the ecological restoration process and can more effectively promote the healthy recovery of deep-sea ecosystems. Summary of the invention

[0005] The present invention provides a comprehensive zoning method for deep-sea mining ecological restoration based on a highly efficient attachment base.

[0006] A comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base comprises the following steps: S1, deep-sea mining area division: preliminary division of restoration areas based on the geographical information, bottom type, water flow pattern, and ecological characteristics of the mining area; S2, Restoration Area Demand Analysis: Conduct demand analysis for each restoration area after demarcation, including the need for ecological diversity restoration, water quality improvement, and biological population restoration, and evaluate the resource needs of each restoration area initially demarcated; S3, Optimization of ecological restoration area division: Based on the results of the restoration area demand analysis, the divided restoration areas are optimized and adjusted to achieve the optimal configuration of restoration resources, including: S31, resource allocation calculation: based on the results of the restoration area demand analysis, calculate the optimal resource allocation for each restoration area; S32, resource allocation adjustment and regional optimization: Based on the calculation results of the optimal resource allocation, the boundaries and resource allocation of each repair area are adjusted to maximize the repair effect.

[0007] Optionally, the deep-sea mining area division in S1 includes: S11, Geographic Information Analysis: Calculate the geographic information score for each area based on water depth and terrain characteristics ; S12, Sediment Type Analysis: Calculate the sediment type score for each area based on the sediment type and distribution density of the area. ; S13, Water flow pattern analysis: Calculate the water flow pattern score for each area based on flow velocity and flow direction ; S14, Ecological Characteristics Analysis: Calculate the ecological characteristics score based on the species richness and conservation value in the area ; S15, Comprehensive score calculation and restoration area division: Weighted integration of geographic information score, bottom type score, water flow pattern score and ecological characteristic score to obtain a comprehensive score for each area , and based on the comprehensive score The restoration area is divided into priority restoration area and suboptimal restoration area according to the level of restoration.

[0008] Optionally, the repair area demand analysis in S2 includes: S21, Ecological diversity restoration needs analysis: Evaluate the ecological diversity of the current restoration area based on species richness and distribution; S22, water quality improvement needs analysis: test water quality parameters, including dissolved oxygen concentration, total nitrogen concentration, total phosphorus concentration, pH, and assess water quality; S23, biological population restoration needs analysis: assess the number and health status of biological populations (benthic organisms, plankton) in the restoration area; S24, Resource Requirement Assessment: Calculate the types and quantities of resources required for each restoration area based on the needs of ecological diversity analysis, water quality improvement analysis, and biological population recovery analysis.

[0009] Optionally, the ecological diversity restoration needs analysis in S21 includes: S211, species richness calculation: count the number of species in the restoration area to measure the basic level of biodiversity in the area, and set the richness as S; S212, species evenness calculation: Species evenness reflects the distribution of species in the region, using the Shannon diversity index to calculate; S213, Ecological diversity score calculation: combining species richness S and Shannon diversity index The ecological diversity score D of the restoration area is obtained.

[0010] Optionally, the water quality improvement demand analysis in S22 includes: S221, water quality parameter detection: detect water quality parameters in the restoration area, including dissolved oxygen concentration DO, total nitrogen concentration TN, total phosphorus concentration TP and pH; S222, Standardized water quality score calculation: Compare each water quality parameter tested with the ecological health standard and calculate the water quality parameter score; S223, calculation of comprehensive water quality index: The scores of various water quality parameters are integrated into a comprehensive water quality index WQ through the weighted average method.

[0011] Optionally, the biological population restoration needs analysis in S23 includes: S231, Biological population assessment: Count the number of biological populations in the restoration area, including the number of benthic organisms and plankton population , to measure the abundance of biomes in an area and to set a baseline number for each biome and , calculate the quantity recovery demand index ; S232, Biological health status assessment: Health status scores are calculated based on the health indicators (vitality, stress resistance, and reproductive capacity) of benthic organisms and plankton, and health scores are calculated separately. and ; S233, comprehensive biological restoration demand index calculation: combined with the number of biological population restoration demand index and health score and , calculate the comprehensive biological restoration demand index .

[0012] Optionally, the resource demand evaluation in S24 includes: S241, Calculation of ecological diversity resource requirements: According to the results of the ecological diversity restoration needs analysis, set the required resources (habitat substrate, vegetation types) to enhance the species richness in the restoration area, and convert the ecological diversity score D into ecological diversity resource requirements. ; S242, Calculation of resource requirements for water quality improvement: Based on the results of the water quality improvement demand analysis, determine the resources (filter materials, chemical additives) required to improve water quality and convert the comprehensive water quality index WQ into the resource requirements for water quality improvement ; S243, Calculation of resource requirements for biological population restoration: According to the results of the biological population restoration demand analysis, the resource requirements for enhancing the biological community (the number of biological introductions or feeding resources) are set, and the comprehensive biological restoration demand index is calculated. Translated into resource requirements for biological population restoration ; S244, Calculation of comprehensive resource demand: Weighted comprehensive resource demand for ecological diversity, water quality improvement, and biological population recovery to obtain the total resource demand for each restoration area. .

[0013] Optionally, the resource configuration calculation in S31 includes: S311, construct resource demand function: construct resource demand function according to the demand analysis results of the repair area , represents the total resource demand for repairing area i; S312, establishing resource allocation optimization objectives: setting an optimization objective function for resource allocation, that is, minimizing the gap between various requirements and actual resource allocation in the repair area; S313, introduce constraints: according to the total resource budget and the priority of each repair area, setting constraints; S314, determine the best resource allocation: solve the optimization objective function and constraints through the linear programming algorithm, and calculate the best resource allocation for each repair area .

[0014] Optionally, the resource configuration adjustment and regional optimization in S32 include: S321, benefit function definition: define a benefit function for each repair area i , indicating the ecological restoration effect of the area; S322, benefit function after boundary adjustment: When the boundary of the restoration area is adjusted, the resource increase or decrease generated is combined , increase or decrease in ecological diversity score , increase or decrease in comprehensive water quality index , increase or decrease in the comprehensive biological restoration demand index , and obtain the adjusted benefit function ; S323, Optimization objective: The optimization objective is to maximize the sum of the adjusted benefits of all restoration areas; S324, Constraint: The total amount of resources in each region after adjustment shall not exceed the total resource budget , and the resource allocation of the priority area is not less than the minimum demand.

[0015] Beneficial effects of the present invention: The present invention clarifies the priority of each restoration area by combining a comprehensive score with geographic information, bottom type, water flow pattern and ecological characteristics, provides accurate data support for the rational allocation of ecological restoration resources, and divides the restoration areas into priority restoration and suboptimal restoration areas through weighted calculation of the comprehensive score, which significantly improves the efficiency of resource allocation, enhances the objectivity and consistency of regional division, and thus provides more scientific and effective guidance for deep-sea ecological restoration.

[0016] The present invention conducts a detailed needs assessment from the perspectives of ecological diversity, water quality improvement and biological population recovery, and quantifies the resource needs of each restoration area to ensure the scientific and efficient allocation of resources. It also optimizes the restoration plan through personalized needs analysis and avoids waste of resources, thereby greatly improving the overall effect and sustainability of deep-sea ecological restoration. It adjusts the restoration standards according to the specific needs of each restoration area, achieves efficient use of ecological restoration resources, and makes restoration measures more accurate and applicable.

[0017] The present invention constructs a benefit function and introduces optimization objectives by dynamically adjusting resource allocation and restoration area boundaries, ensuring that resource allocation is more in line with the actual needs of each area. By real-time monitoring of the ecological restoration effects in the restoration area, including the health status of biological populations, ecological diversity, water quality changes and bottom recovery, it is possible to flexibly adjust the resource allocation plan, give priority to high-demand areas, maximize the benefits of ecological restoration, improve resource utilization efficiency, ensure the effect of deep-sea ecological restoration, optimize the sustainability of the ecosystem, and make the entire restoration process more scientific, reasonable and efficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1A schematic diagram of a partitioning method flow chart of an embodiment of the present invention; Figure 2 Schematic diagram of repair area demand analysis according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0021] like Figure 1-Figure 2 As shown, a comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base includes the following steps: S1, deep-sea mining area division: preliminary division of restoration areas based on the geographical information, bottom type, water flow pattern, and ecological characteristics of the mining area; S2, Restoration Area Demand Analysis: Conduct demand analysis for each restoration area after demarcation, including the need for ecological diversity restoration, water quality improvement, and biological population restoration, and evaluate the resource needs of each restoration area initially demarcated; S3, Optimization of ecological restoration area division: Based on the results of the restoration area demand analysis, the divided restoration areas are optimized and adjusted to achieve the optimal allocation of restoration resources to improve the ecological restoration effect of each restoration area, including: S31, resource allocation calculation: based on the results of the restoration area demand analysis, calculate the optimal resource allocation for each restoration area; S32, resource allocation adjustment and regional optimization: Based on the calculation results of the optimal resource allocation, the boundaries and resource allocation of each repair area are adjusted to maximize the repair effect.

[0022] The deep sea mining area divisions in S1 include: S11, Geographic Information Analysis: Calculate the geographic information score for each area based on water depth and terrain characteristics , expressed as: ; in, Score the geographic information of region i, and is the weight coefficient, Score the water depth. score terrain features; Depth Rating The water depth is quantified by classification, including: Shallow water (0-50 meters): ; Medium depth (50-200 meters): ; Deep water (more than 200 meters): ; Terrain feature scoring Quantitative scoring based on the characteristics of the seafloor topography (flat, undulating, steep), including: Flat terrain (slope ): ; Undulating terrain (slope ): ; Steep terrain (slope ): ; S12, Sediment Type Analysis: Calculate the sediment type score for each area based on the sediment type and distribution density of the area. , expressed as: ; in, Score the bottom type of region i, and is the weight coefficient, Score the substrate type. Score the density of substrate distribution; Sediment type scoring By quantifying different substrate types, including: Sandy: ; Clay: ; Rock type: ; Bottom distribution density score The quantitative scoring is based on the distribution density of the substrate, including: Evenly distributed (density standard deviation < 0.2): ; The distribution is medium (density standard deviation is ): ; Uneven distribution (density standard deviation ): ; S13, Water flow pattern analysis: Calculate the water flow pattern score for each area based on flow velocity and flow direction , expressed as: ; in, Score the water flow pattern in region i, and is the weight coefficient, Score the flow rate, Score the flow direction; Flow rate score Quantify the average flow velocity in the area, including: Low flow rate ( ): ; Medium flow rate ( ): ; High flow rate ( ): ; Flow direction score Quantitative scoring of the variability of flow direction, including: Stable direction (change angle ): ; Moderate change (change angle in ): ; Large changes in direction (change in angle ): ; S14, Ecological Characteristics Analysis: Calculate the ecological characteristics score based on the species richness and conservation value in the area , expressed as: ; in, Score the ecological characteristics of region i, and is the weight coefficient, Score species richness, scoring conservation values; Species richness score Quantify species richness, including: Low richness (number of species < 5): ; Medium richness (number of species in ): ; High richness (number of species) ): ; Conservation value score According to the ecological conservation value of species, the following are the scores: Low conservation value (no endangered species or ecologically sensitive populations): ; Medium conservation value (there are a small number of endangered species or ecologically sensitive populations, accounting for <10%): ; High conservation value (proportion of endangered species or ecologically sensitive populations) ): ; S15, Calculation of comprehensive score and division of restoration areas: Weighted integration of geographic information score, bottom type score, water flow pattern score and ecological characteristic score to obtain a comprehensive score for each area , and based on the comprehensive score The restoration areas are divided into priority restoration areas and suboptimal restoration areas according to the level of restoration. It is expressed as: ; in, is the comprehensive score of region i, , , , The scores are geographical information, bottom type, water flow pattern and ecological characteristics. , , , is the weight coefficient of each factor; Through the above content, a scientific segmentation of mining areas was achieved, various ecological factors were comprehensively evaluated using clear numerical standards, and a comprehensive score was obtained through weighted calculation, which provided data support for the priority division of restoration areas. It not only improved the allocation efficiency of restoration resources, but also enhanced the objectivity and consistency of the division, thereby effectively improving the overall effect and operability of deep-sea ecological restoration.

[0023] The repair area needs analysis in S2 includes: S21, Ecological diversity restoration needs analysis: Evaluate the ecological diversity of the current restoration area based on species richness and distribution; S22, water quality improvement needs analysis: test water quality parameters, including dissolved oxygen concentration, total nitrogen concentration, total phosphorus concentration, pH, and assess water quality; S23, Biological Population Restoration Needs Analysis: Evaluate the number and health status of biological populations (benthic organisms, plankton) in the restoration area; S24, resource demand assessment: Calculate the type and quantity of resources required for each restoration area based on the needs of ecological diversity analysis, water quality improvement analysis and biological population recovery analysis; The above content not only provides accurate data support, which helps to quantify the resource needs of different restoration areas, but also ensures the scientific and efficient allocation of resources. Through detailed needs analysis, it can optimize the restoration plan and avoid waste of resources, thereby significantly improving the overall effect and sustainability of deep-sea ecological restoration.

[0024] The biodiversity restoration needs analysis in S21 includes: S211, species richness calculation: count the number of species in the restoration area to measure the basic level of biodiversity in the area, and set the richness as S; S212, species evenness calculation: Species evenness reflects the distribution of species in the region, using the Shannon diversity index To calculate, it is expressed as: ; Where n is the total number of species, is the relative abundance of the i-th species, that is, the proportion of the number of this species to the total number of species; S213, Ecological diversity score calculation: combining species richness S and Shannon diversity index The ecological diversity score D of the restoration area is obtained, which is expressed as: ; in, and is the weight coefficient; Through the above content, personalized assessments of different restoration areas have been achieved, which can adapt to the ecological needs of different regions. Quantitative indicators can be used to judge whether ecological diversity needs further restoration, so as to prioritize the allocation of restoration resources. This not only improves the accuracy and efficiency of restoration measures, but also ensures the rationality of resource utilization, making the deep-sea ecological restoration process more effective and sustainable.

[0025] The water quality improvement needs analysis in S22 includes: S221, water quality parameter detection: detect water quality parameters in the restoration area, including dissolved oxygen concentration DO, total nitrogen concentration TN, total phosphorus concentration TP and pH; S222, Standardized water quality score calculation: Compare each water quality parameter tested with the ecological health standard and calculate the water quality parameter score, expressed as: ; in, is the score of water quality parameter i, is the actual detection value, is the ecological health standard value of the parameter; S223, calculation of comprehensive water quality index: The scores of various water quality parameters are integrated into a comprehensive water quality index WQ by weighted average method, expressed as: ; Among them, WQ is the comprehensive water quality index, , , , The scores of dissolved oxygen concentration, total nitrogen concentration, total phosphorus concentration and pH are respectively , , , is the weight coefficient of each water quality parameter; Through the above content, an accurate assessment of the water quality status in the restoration area has been achieved, and the water quality standards can be dynamically adjusted according to actual needs. Quantitative indicators can be used to determine whether the water quality needs to be improved, ensuring that restoration resources are preferentially allocated to the areas most in need. This not only improves the efficiency and effectiveness of water quality improvement measures, but also optimizes resource utilization, making the deep-sea ecological restoration process more scientific and sustainable.

[0026] The biological population recovery needs analysis in S23 includes: S231, Biological population assessment: Count the number of biological populations in the restoration area, including the number of benthic organisms and plankton population , to measure the abundance of biomes in an area and to set a baseline number for each biome and , calculate the quantity recovery demand index , expressed as: ; in, is the biological population recovery demand index, , are the actual number of benthic organisms and plankton detected, , are the baseline numbers of benthic organisms and plankton, respectively. , are the weight coefficients of benthic organisms and plankton, respectively; S232, Biological health status assessment: Health status scores are calculated based on the health indicators (vitality, stress resistance, and reproductive capacity) of benthic organisms and plankton, and health scores are calculated separately. and ; Health Score and The score is obtained by weighting the health indicators (vitality, stress resistance, and reproductive capacity) of benthic and plankton organisms, including: Calculation of health index scores: Calculate the health index of benthic organisms or plankton, including vitality score V, stress resistance score R, and reproductive capacity score F, expressed as: ; in, is the actual detected activity frequency or speed, The frequency or speed of activity of a baseline healthy organism; ; in, is the survival rate under stress conditions, is the survival rate under normal conditions; ; in, is the actual observed reproductive rate (e.g. number of reproductions per month or reproductive success rate), is the reproduction rate of baseline healthy organisms; Health score calculation: The health score is calculated by a weighted algorithm, expressed as: ; Among them, H is the health score of the organism (benthic organisms are recorded as , plankton is recorded as ), V, R, and F are vitality, stress resistance, and reproductive capacity scores, respectively. , , are the weight coefficients of each health indicator; S233, comprehensive biological restoration demand index calculation: combined with the number of biological population restoration demand index and health score and , calculate the comprehensive biological restoration demand index , expressed as: ; in, is the comprehensive biological restoration demand index, is the biological population recovery demand index, , are the health scores of benthic organisms and plankton, respectively. , Weight coefficient; Through the above content, an accurate assessment of the number and health status of biological populations in the restoration area has been achieved, and the restoration standards can be dynamically adjusted according to actual needs to ensure that resources are preferentially allocated to areas with high biological restoration needs. This not only improves the utilization efficiency of restoration resources, but also optimizes the effectiveness and sustainability of ecological restoration, and helps to build a healthy and stable deep-sea ecosystem.

[0027] The resource requirement assessment in S24 includes: S241, Calculation of ecological diversity resource requirements: According to the results of the ecological diversity restoration needs analysis, set the required resources (habitat substrate, vegetation types) to enhance the species richness in the restoration area, and convert the ecological diversity score D into ecological diversity resource requirements. , expressed as: ; in, The demand for biodiversity resources is is the ecological diversity resource conversion coefficient; Ecological diversity resource conversion coefficient According to the resource use data of historical ecological restoration projects, the resource demand corresponding to each unit of ecological diversity demand index is calculated and expressed as: ; in, is the biodiversity resource conversion coefficient, is the resource demand for ecological diversity restoration in historical project i, is the ecological diversity demand index in historical project i, and n is the total number of historical projects; S242, Calculation of resource requirements for water quality improvement: Based on the results of the water quality improvement demand analysis, determine the resources (filter materials, chemical additives) required to improve water quality and convert the comprehensive water quality index WQ into the resource requirements for water quality improvement , expressed as: ; in, Resource requirements for water quality improvement, Improve resource conversion coefficient for water quality; Water quality improvement resource conversion coefficient Through water quality improvement experiments under laboratory conditions, the amount of filtration materials or chemical additives required under different water quality demand indices is measured to determine the resource requirements per unit demand index, expressed as: ; in, Improve resource conversion coefficient for water quality, is the amount of resources used to improve water quality in the experiment (such as filter materials or chemical additives), is the corresponding water quality demand index in the experiment; S243, Calculation of resource requirements for biological population restoration: According to the results of the biological population restoration demand analysis, the resource requirements for enhancing the biological community (the number of biological introductions or feeding resources) are set, and the comprehensive biological restoration demand index is calculated. Translated into resource requirements for biological population restoration , expressed as: ; in, To restore the resource demand for biological populations, Restoring resource conversion factors for biological populations; Biological population recovery resource conversion coefficient Based on the advice of ecological or biological experts, the amount of resources corresponding to each unit of biological population recovery demand index is set as: ; in, is the resource conversion coefficient for biological population recovery, is the estimated value of the amount of resources required for the unit biological population recovery demand index by expert j, and m is the number of experts participating in the survey; S244, Calculation of comprehensive resource demand: Weighted comprehensive resource demand for ecological diversity, water quality improvement, and biological population recovery to obtain the total resource demand for each restoration area. , expressed as: ; in, The comprehensive resource demand for the restoration area, , , are the weight coefficients of each demand category; Through the above content, we ensure that the resource allocation of each restoration area has a scientific basis, making resource allocation more targeted and accurate. The final comprehensive resource demand provides a comprehensive resource planning basis for the restoration area, improves resource utilization efficiency, and ensures the sustainability and efficiency of the deep-sea ecological restoration process.

[0028] The resource allocation calculation in S31 includes: S311, construct resource demand function: construct resource demand function according to the demand analysis results of the repair area , represents the total resource requirement for repairing area i, expressed as: ; in, is the resource demand for repairing area i, , , are the resource requirements for ecological diversity, water quality improvement and biological population recovery in restoration area i, , , are the weight coefficients of ecological diversity, water quality improvement and biological population recovery needs; S312, establish resource allocation optimization objectives: set the optimization objective function of resource allocation, that is, minimize the gap between various requirements and actual resource allocation in the repair area, and ensure that resource allocation meets various requirements, expressed as: ; Where n is the number of repair areas, The actual amount of resources allocated to repair area i, is the resource demand for repairing area i; S313, introduce constraints: according to the total resource budget And the priority of each repair area, set constraints to ensure the rationality of resource allocation, expressed as: ; in, This is the total resource budget. The total resource allocation of all repair areas cannot exceed this value. S314, determine the best resource allocation: solve the optimization objective function and constraints through the linear programming algorithm, and calculate the best resource allocation for each repair area , expressed as: ; ; ; ; , , , ; , ; in, is a variable used to indicate the part of the repair area i where the demand exceeds the configured amount. is a variable used to indicate the part of the configuration amount exceeding the demand amount in the repair area i. is the minimum resource allocation for repair area i, n is the total number of repair areas, A collection of high-priority repair areas, indicating that these areas are prioritized to meet the lowest resource requirements when allocating resources. ; Through the above content, the gap between the actual resource allocation and demand in the restoration area is minimized, and resources are reasonably allocated within the constraints of the total resource budget, which can ensure that each area obtains resources that meet the needs, while giving priority to meeting the minimum resource needs of high-priority areas. Through reasonable resource allocation, not only the utilization efficiency of restoration resources is improved, but also the effect and sustainability of ecological restoration in deep-sea mining areas are effectively guaranteed, making the restoration process more scientific and targeted.

[0029] Resource allocation adjustment and regional optimization in S32 include: S321, benefit function definition: define a benefit function for each repair area i , which indicates the ecological restoration effect of the area, is expressed as: ; in, , is the weight coefficient, , , are the corresponding weight coefficients respectively; S322, benefit function after boundary adjustment: When the boundary of the restoration area is adjusted, the resource increase or decrease generated is combined , increase or decrease in ecological diversity score , increase or decrease in comprehensive water quality index , increase or decrease in the comprehensive biological restoration demand index , and obtain the adjusted benefit function , expressed as: ; Resource increment or decrement : The change in the restoration area caused by boundary adjustment is multiplied by the resource demand per unit area to obtain the resource increase or decrease in the area; Increase or decrease in biodiversity score : Recalculate the ecological diversity score based on the changes in species richness and evenness in the area after the boundary adjustment, and compare it with the score before the adjustment to obtain the increase or decrease; Increase or decrease in comprehensive water quality index ( ): Recalculate the water quality index based on the change of water quality parameters after boundary adjustment, and compare it with the index before adjustment to get the increase or decrease; Increase or decrease in the comprehensive biological recovery demand index : Re-evaluate the biological restoration demand index based on the changes in the number and health status of biological populations after boundary adjustment, and compare it with the index before adjustment to obtain an increase or decrease; S323, Optimization objective: The optimization objective is to maximize the sum of the adjusted benefits of all repair areas, expressed as: ; Where n is the total number of repair areas; S324, Constraint: The total amount of resources in each region after adjustment shall not exceed the total resource budget , and the resource allocation of the priority area is not less than the minimum demand , expressed as: ; ; Through the above content, we can ensure that resource allocation more accurately meets the actual ecological needs of each region. According to the changes in resources, ecological diversity, water quality and biological restoration needs brought about by boundary adjustments, we can flexibly adjust the amount of resources to maximize the benefits of ecological restoration, effectively utilize resources, improve restoration efficiency, give priority to meeting high-demand areas, and make the entire deep-sea ecological restoration process more scientific, reasonable and sustainable.

[0030] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0031] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A comprehensive zoning method for deep-sea mining ecological restoration based on efficient attachment base, characterized in that: The following steps are involved: S1, deep-sea mining area division: preliminary division of restoration areas based on the geographical information, bottom type, water flow pattern, and ecological characteristics of the mining area; S2, Restoration Area Demand Analysis: Conduct demand analysis for each restoration area after demarcation, including the need for ecological diversity restoration, water quality improvement, and biological population restoration, and evaluate the resource needs of each restoration area initially demarcated; S3, Optimization of ecological restoration area division: Based on the results of the restoration area demand analysis, the divided restoration areas are optimized and adjusted to achieve the optimal configuration of restoration resources, including: S31, resource allocation calculation: based on the results of the restoration area demand analysis, calculate the optimal resource allocation for each restoration area; S32, resource allocation adjustment and regional optimization: Based on the calculation results of the optimal resource allocation, the boundaries and resource allocation of each repair area are adjusted to maximize the repair effect.

2. A comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base according to claim 1, characterized in that: The deep sea mining area division in S1 includes: S11, Geographic Information Analysis: Calculate the geographic information score for each area based on water depth and terrain characteristics ; S12, Sediment Type Analysis: Calculate the sediment type score for each area based on the sediment type and distribution density of the area. ; S13, Water flow pattern analysis: Calculate the water flow pattern score for each area based on flow velocity and flow direction ; S14, Ecological Characteristics Analysis: Calculate the ecological characteristics score based on the species richness and conservation value in the area ; S15, Comprehensive score calculation and restoration area division: Weighted integration of geographic information score, bottom type score, water flow pattern score and ecological characteristic score to obtain a comprehensive score for each area , and based on the comprehensive score The restoration area is divided into priority restoration area and suboptimal restoration area according to the level of restoration.

3. A comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base according to claim 1, characterized in that: The repair area demand analysis in S2 includes: S21, Ecological diversity restoration needs analysis: Evaluate the ecological diversity of the current restoration area based on species richness and distribution; S22, water quality improvement needs analysis: test water quality parameters, including dissolved oxygen concentration, total nitrogen concentration, total phosphorus concentration, pH, and assess water quality; S23, Biological Population Restoration Needs Analysis: Assess the number and health status of biological populations in the restoration area; S24, Resource Requirement Assessment: Calculate the types and quantities of resources required for each restoration area based on the needs of ecological diversity analysis, water quality improvement analysis, and biological population recovery analysis.

4. A comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base according to claim 3, characterized in that: The analysis of ecological diversity restoration needs in S21 includes: S211, species richness calculation: count the number of species in the restoration area to measure the basic level of biodiversity in the area, and set the richness as S; S212, species evenness calculation: Species evenness reflects the distribution of species in the region, using the Shannon diversity index to calculate; S213, Ecological diversity score calculation: combining species richness S and Shannon diversity index The ecological diversity score D of the restoration area is obtained.

5. A comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base according to claim 4, characterized in that: The water quality improvement needs analysis in S22 includes: S221, water quality parameter detection: detect water quality parameters in the restoration area, including dissolved oxygen concentration DO, total nitrogen concentration TN, total phosphorus concentration TP and pH; S222, Standardized water quality score calculation: Compare each water quality parameter tested with the ecological health standard and calculate the water quality parameter score; S223, calculation of comprehensive water quality index: The scores of various water quality parameters are integrated into a comprehensive water quality index WQ through the weighted average method.

6. A comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base according to claim 5, characterized in that: The biological population restoration needs analysis in S23 includes: S231, Biological population assessment: Count the number of biological populations in the restoration area, including the number of benthic organisms and plankton population , to measure the abundance of biomes in an area and to set a baseline number for each biome and , calculate the quantity recovery demand index ; S232, Biological health status assessment: Health status scores are calculated based on the health indicators of benthic organisms and plankton, and health scores are calculated separately and ; S233, comprehensive biological restoration demand index calculation: combined with the number of biological population restoration demand index and health score and , calculate the comprehensive biological restoration demand index .

7. A comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base according to claim 6, characterized in that: The resource demand assessment in S24 includes: S241, Calculation of ecological diversity resource demand: According to the results of the ecological diversity restoration demand analysis, set the required resources to enhance the species richness in the restoration area and convert the ecological diversity score D into ecological diversity resource demand. ; S242, Calculation of resource demand for water quality improvement: Based on the results of the water quality improvement demand analysis, determine the resources required to improve water quality and convert the comprehensive water quality index WQ into the resource demand for water quality improvement. ; S243, Calculation of resource requirements for biological population restoration: According to the results of the biological population restoration demand analysis, the resource requirements for enhancing the biological community are set, and the comprehensive biological restoration demand index is calculated. Translated into resource requirements for biological population restoration ; S244, Calculation of comprehensive resource demand: Weighted comprehensive resource demand for ecological diversity, water quality improvement, and biological population recovery to obtain the total resource demand for each restoration area. .

8. A comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base according to claim 7, characterized in that: The resource configuration calculation in S31 includes: S311, construct resource demand function: construct resource demand function according to the demand analysis results of the repair area , represents the total resource demand for repairing area i; S312, establishing resource allocation optimization objectives: setting an optimization objective function for resource allocation, that is, minimizing the gap between various requirements and actual resource allocation in the repair area; S313, introduce constraints: according to the total resource budget and the priority of each repair area, setting constraints; S314, determine the best resource allocation: solve the optimization objective function and constraints through the linear programming algorithm, and calculate the best resource allocation for each repair area .

9. A comprehensive zoning method for deep-sea mining ecological restoration based on an efficient attachment base according to claim 8, characterized in that: The resource configuration adjustment and regional optimization in S32 include: S321, benefit function definition: define a benefit function for each repair area i , indicating the ecological restoration effect of the area; S322, benefit function after boundary adjustment: When the boundary of the restoration area is adjusted, the resource increase or decrease generated is combined , increase or decrease in ecological diversity score , increase or decrease in comprehensive water quality index , increase or decrease in the comprehensive biological restoration demand index , and obtain the adjusted benefit function ; S323, Optimization objective: The optimization objective is to maximize the sum of the adjusted benefits of all restoration areas; S324, Constraint: The total amount of resources in each region after adjustment shall not exceed the total resource budget , and the resource allocation of the priority area is not less than the minimum demand.

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