Water area ecological resuscitation scheme evaluation method and device, electronic equipment and storage medium

By obtaining the ecological recovery goals and the initial stage of implementation in the water ecological recovery, determining the scale matrix of feedback indicators and using a fuzzy consistency algorithm to determine the comprehensive weight, the problems of the existing water ecological restoration technology are solved, and efficient water ecological recovery is achieved.

CN119784200APending Publication Date: 2025-04-08POWERCHINA HUADONG ENG CORP LTD
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Patent Information

Application Number
CN202410586075.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-05-13
Publication Date
2025-04-08

AI Technical Summary

Technical Problem

The existing ecological restoration technology in waters has the problems of high dispersion, high cost, and lack of suitable for ecological recovery in polluted waters. The lack of feedback mechanisms makes it impossible to accurately judge the starting point, turning point of the implementation of ecological recovery in polluted waters, and the scientific basis for scientific decision-making.

Method used

By obtaining the ecological recovery goals and implementation start stages of the target waters, the scale matrix of the feedback indicators is determined, and the comprehensive weight is determined based on the fuzzy consistency algorithm, the starting point of the ecological recovery of the waters is clarified, and the feedback indicators are paid comprehensively to determine different protection plans for different recovery stages.

Benefits of technology

Reduce resource waste, improve the efficiency of ecological recovery in waters, clarify the starting point of ecological recovery, and ensure the significance and scientificity of the implementation effect.

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Abstract

The invention provides a water area ecological recovery scheme evaluation method and device, electronic equipment and a readable storage medium, and relates to the technical field of polluted water area treatment and ecological restoration. The method comprises the following steps: determining a target water area scale matrix based on an ecological resuscitation target and an implementation initial stage; determining a fuzzy consistency matrix corresponding to the scale matrix based on a fuzzy consistency algorithm; normalizing the fuzzy consistency matrix to obtain a weight vector corresponding to the feedback index, and then determining a comprehensive weight; determining a target protection scheme based on the sorting of the comprehensive weights; according to the method, a water area feedback index and a protection scheme are scaled, a comprehensive weight of a scale matrix is determined based on a fuzzy consistency algorithm, a target protection scheme is determined, a starting point of water area ecological recovery is determined, the feedback index is comprehensively concerned, different protection schemes are determined for different recovery stages, resource waste is reduced, and the recovery efficiency is improved. The water area ecological recovery efficiency is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of polluted water area management and ecological restoration, and in particular to a method, device, electronic equipment and storage medium for evaluating a water area ecological recovery program. Background Art

[0002] Disturbed by strong human activities such as urbanization and industrialization, the water ecological process of urban water environment is undergoing profound changes. Primary and secondary water-related problems such as water resource shortage, water environment pollution and water ecological degradation are becoming increasingly prominent. Under the interaction of resource-based and pollution-based water shortages, the water ecological environment is deteriorating and the difficulty of restoration and management is increasing, which has become a difficult point in the protection of water ecological environment.

[0003] The current water ecological restoration still has the problems of large dispersion, high cost, and lack of suitable ecological restoration for polluted waters. The existing scientific decision-making method for the implementation plan of ecological restoration of polluted waters, and the lack of feedback mechanism during the implementation process, have resulted in the inability to accurately judge the starting point of the implementation of ecological restoration of polluted waters, the turning point of the implementation stage, the weak scientific basis for decision-making, and the unclear implementation effect. During the implementation of the project, the indicators concerned are different for different ecological restoration stages. Failure to pay targeted attention to indicators at different stages can easily lead to a waste of monitoring funds and low efficiency of water ecological restoration. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a method, device, electronic device and readable storage medium for evaluating water area ecological recovery plans. By scaling water area feedback indicators and protection plans, and then determining the comprehensive weight of the scaling matrix based on a fuzzy consistency algorithm, the target protection plan is determined, the starting point of water area ecological recovery is clarified, and comprehensive attention is paid to feedback indicators. Different protection plans are determined for different recovery stages, thereby reducing resource waste and improving the efficiency of water area ecological recovery.

[0005] In a first aspect, the present invention provides a method for evaluating an aquatic ecological recovery plan, comprising: obtaining an ecological recovery target for a target water area and an implementation start stage for protection of the target water area; determining a first scale matrix of feedback indicators corresponding to the target water area based on the ecological recovery target and the implementation start stage; wherein the feedback indicators include at least one of the following: physicochemical indicators, nutrient indicators, unconventional indicators, hydraulic indicators, and biological indicators; determining a second scale matrix of a protection plan based on the target feedback indicators; performing fuzzy consistency processing and normalization processing on multiple scale matrices in turn to obtain multiple weight vectors, and determining a comprehensive weight based on the multiple weight vectors; wherein the scale matrix includes a first scale matrix and a second scale matrix; and determining a target protection plan based on the ranking of the comprehensive weights.

[0006] In some preferred embodiments of the present invention, multiple scale matrices are subjected to fuzzy consistency processing and normalization processing in turn to obtain multiple weight vectors, and a comprehensive weight is determined based on the multiple weight vectors; wherein the scale matrix includes the steps of a first scale matrix and a second scale matrix, including: determining a fuzzy consistency matrix corresponding to the scale matrix based on a fuzzy consistency algorithm; normalizing the fuzzy consistency matrix to obtain a weight vector corresponding to the feedback indicator; and taking the product of multiple weight vectors as the comprehensive weight.

[0007] In some preferred embodiments of the present invention, fuzzy consistency processing is performed based on the following formula: Among them, r ij is the element in the i-th row and j-th column of the fuzzy consistency matrix, r i is the sum of the elements in the i-th row of the scaling matrix, r j is the sum of the elements in the jth column of the scaling matrix, and n is the order of the fuzzy consistency matrix.

[0008] In some preferred embodiments of the present invention, the weight vector is determined based on the following formula: a=(n-1) / 2; where W i is the i-th element of the weight vector, n is the order of the fuzzy consistency matrix, r ik is the element in the i-th row and k-th column of the fuzzy consistency matrix.

[0009] In some preferred embodiments of the present invention, the feedback indicator includes at least one sub-feedback indicator; wherein the physical and chemical indicators include at least one of the following sub-feedback indicators: odor, transparency, dissolved oxygen and chemical oxygen demand; the nutrient salt indicators include at least one of the following sub-feedback indicators: ammonia nitrogen, total phosphorus, total nitrogen; the unconventional indicators include the sub-feedback indicator: heavy metals; the hydraulic indicators include at least one of the following sub-feedback indicators: flow rate and water level; the biological indicators include the sub-feedback indicator: biodiversity.

[0010] In some preferred embodiments of the present invention, the step of determining the second scaling matrix of the protection scheme based on the target feedback indicator comprises: using at least one sub-feedback indicator as the target feedback indicator; and determining the second scaling matrix of the protection scheme based on the target feedback indicator.

[0011] In some preferred embodiments of the present invention, after the step of determining the second scale matrix of the protection plan based on the target feedback indicators, the method also includes: determining the third scale matrix of sub-feedback indicators corresponding to the target waters based on the ecological recovery goals and the initial stage of implementation.

[0012] In a second aspect, the present invention provides an evaluation device for a water area ecological recovery plan, a water area determination module, used to obtain the ecological recovery target of the target water area and the implementation start stage of the target water area protection; a first scale matrix processing module, used to determine the first scale matrix of feedback indicators corresponding to the target water area based on the ecological recovery target and the implementation start stage; wherein the feedback indicators include at least one of the following: physicochemical indicators, nutrient indicators, unconventional indicators, hydraulic indicators and biological indicators; a second scale matrix processing module, used to determine the second scale matrix of the protection plan based on the target feedback indicators; a comprehensive weight processing module, used to obtain multiple weight vectors after fuzzy consistency processing and normalization processing on multiple scale matrices in turn, and determine the comprehensive weight based on the multiple weight vectors; wherein the scale matrix includes the first scale matrix and the second scale matrix; a target protection plan determination module, used to determine the target protection plan based on the ranking of the comprehensive weights.

[0013] In a third aspect, the present invention provides an electronic device comprising a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement any of the above-mentioned methods for evaluating aquatic ecological restoration plans.

[0014] In a fourth aspect, the present invention provides a readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement any of the above-mentioned methods for evaluating aquatic ecological restoration plans.

[0015] The present invention brings the following beneficial effects:

[0016] The present invention provides a method, device, electronic device and readable storage medium for evaluating an ecological recovery plan for a water area, including: obtaining an ecological recovery target for a target water area and an implementation start stage for protection of the target water area; determining a first scale matrix of feedback indicators corresponding to the target water area based on the ecological recovery target and the implementation start stage; wherein the feedback indicators include at least one of the following: physicochemical indicators, nutrient indicators, unconventional indicators, hydraulic indicators and biological indicators; determining a second scale matrix of a protection plan based on the target feedback indicators; obtaining multiple weight vectors after fuzzy consistency processing and normalization processing are performed on multiple scale matrices in turn, and determining a comprehensive weight based on the multiple weight vectors; wherein the scale matrix includes a first scale matrix and a second scale matrix; determining a target protection plan based on the ranking of the comprehensive weights; by scaling the feedback indicators and protection plans for the water area, and then determining the comprehensive weights of the scale matrix based on a fuzzy consistency algorithm, determining the target protection plan, clarifying the starting point of ecological recovery for the water area, paying full attention to the feedback indicators, determining different protection plans for different recovery stages, reducing resource waste, and improving the efficiency of ecological recovery for the water area. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flow chart of a method for evaluating a water ecological restoration program provided by an embodiment of the present invention;

[0019] Figure 2 A flow chart of another method for evaluating aquatic ecological restoration scheme provided by an embodiment of the present invention;

[0020] Figure 3 A schematic diagram of a water ecological restoration program evaluation device provided by an embodiment of the present invention;

[0021] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

[0022] Icons: 310 - water area determination module; 320 - first scale matrix processing module; 330 - second scale matrix processing module; 340 - comprehensive weight processing module; 350 - target protection scheme determination module; 400 - memory; 401 - processor; 402 - bus; 403 - communication interface. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0024] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0026] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the invention is usually placed when in use. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0027] In addition, the terms "horizontal", "vertical", "overhanging" and the like do not mean that the components are required to be absolutely horizontal or overhanging, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0028] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0029] Disturbed by strong human activities such as urbanization and industrialization, the water ecological process of urban water environment is undergoing profound changes. Primary and secondary water-related problems such as water resource shortage, water environment pollution and water ecological degradation are becoming increasingly prominent. Under the interaction of resource-based and pollution-based water shortages, the water ecological environment continues to deteriorate and the difficulty of restoration and management increases, becoming a difficult point in the protection of the water ecological environment. However, there is still a lack of implementation plans and paths for the ecological recovery of water bodies with different degrees of pollution under strong human activities.

[0030] The current water ecological restoration still has the problems of large dispersion, high cost, and lack of suitable ecological restoration for polluted waters. The existing implementation plan for ecological restoration of polluted waters has a scientific decision-making method, and there is a lack of feedback mechanism during the implementation process, which results in the inability to accurately judge the starting point of the implementation of ecological restoration of polluted waters, the turning point of the implementation stage, the weak scientific basis for decision-making, and the insignificant implementation effect. In the process of project implementation, the indicators concerned are different for different stages of ecological restoration. Failure to focus on indicators at different stages is likely to cause a waste of monitoring funds. The existing engineering guidelines for water governance are all one-way implementation measures, and the feedback mechanism cannot be set according to the actual situation. It is impossible to guarantee the implementation effect of each stage and adjust the plan in real time and scientifically, which also causes the unstable governance effect to occur repeatedly. On the other hand, the ecological restoration of watershed waters is a systematic problem. Considering that the ecological restoration of watershed waters is a systematic process that requires multi-party coupling and progression, in the implementation process of ecological restoration of polluted waters in watersheds with strong human activities, it should be combined with the actual situation of the basin, coupled with feedback indicators, and implemented progressively with phased goals, and the implementation plan should be flexibly adjusted according to the feedback indicators.

[0031] Based on this, the purpose of the present invention is to overcome the shortcomings of existing watershed water ecological restoration technology and provide a method for ecological restoration of polluted waters based on fuzzy multi-level analysis feedback theory. The method can realize real-time judgment and analysis based on fuzzy multi-level analysis feedback theory, combined with water section response data during implementation, to adjust the most suitable governance stage and governance measures for the current situation.

[0032] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0033] Embodiment 1

[0034] The present invention provides a method for evaluating aquatic ecological restoration scheme. Figure 1 The embodiment of the present invention shown in the figure provides a flow chart of a method for evaluating a water ecological restoration program, the method comprising:

[0035] Step S102, obtaining the ecological recovery target of the target water area and the implementation start phase of the protection of the target water area.

[0036] Specifically, this step includes collecting and analyzing relevant data of the target waters, understanding their current ecological and environmental conditions, and setting ecological restoration goals that are expected to be achieved through future protection plans. Furthermore, the overall goal can be divided into multiple phased goals, and different protection plans can be set for each phased goal; there are many ecological recovery goals, such as eliminating black and odorous water bodies, improving the quality of rivers / waters, and ecological restoration.

[0037] Step S104, determining a first scaling matrix of feedback indicators corresponding to the target waters based on the ecological recovery goal and the initial stage of implementation; wherein the feedback indicators include at least one of the following: physical and chemical indicators, nutrient indicators, unconventional indicators, hydraulic indicators and biological indicators.

[0038] Specifically, feedback indicators are important parameters for evaluating the effectiveness of water area protection, which may include physical and chemical indicators (such as pH value, dissolved oxygen, etc.), nutrient indicators (such as nitrogen, phosphorus, etc.), unconventional indicators (such as heavy metals, organic pollutants, etc.), hydraulic indicators (such as flow rate, flow, etc.) and biological indicators (such as biodiversity, population size, etc.).

[0039] For example, feedback indicators are obtained based on the indicator data of polluted water sections, and the sections include national, provincial or municipal control sections of the river basin, and can also be sub-basin water sections. Section feedback indicators include physical and chemical indicators, nutrient indicators, unconventional indicators, hydraulic indicators and biological indicators. Sub-feedback indicators can be adjusted according to actual conditions, or adjusted to other feedback indicators. Based on the indicators of polluted water section data, an evaluation system is constructed, as shown in Table 1.

[0040] Table 1 Feedback index evaluation system for polluted water sections

[0041]

[0042] Step S106, determining a second scaling matrix of the protection plan based on the target feedback index; wherein the protection plan includes at least one of the following: reducing pollution entering the river from the basin, regulating endogenous pollution in the river, ensuring the ecological base flow of the river, and reconstructing the ecological space of the basin.

[0043] Specifically, the protection plan is a specific measure taken to achieve the goal of ecological recovery, which may include reducing pollution entering the river, regulating endogenous pollution in the river, ensuring the ecological base flow of the river, and reconstructing the ecological space of the river basin. According to the 0.1-0.9 nine-scale quantitative scale shown in Table 2, feedback indicators and protection plans are analyzed pairwise to construct a scaling matrix, where the fuzzy complementary scaling matrix of the feedback indicators is shown in Table 3.

[0044] Table 2 0.1-0.9 scaling method

[0045]

[0046]

[0047] For example, the current waters are black and smelly, and the physical and chemical indicators are more important than the nutrient indicators, unconventional indicators, hydraulic indicators and biological indicators. Therefore, the scale of the physical and chemical indicators corresponding to the nutrient indicators can be 0.6, the scale of the unconventional indicators can be 0.7, the scale of the hydraulic indicators can be 0.8, and the scale of the biological indicators can be 0.9; the scale of the biological indicators corresponding to the physical and chemical indicators is 0.1, the scale of the hydraulic indicators corresponding to the physical and chemical indicators is 0.2, the scale of the unconventional indicators corresponding to the physical and chemical indicators is 0.3, and the scale of the nutrient indicators should be 0.4.

[0048] Similarly, it is necessary to improve the standards and quality of physical and chemical indicators. At this time, the physical and chemical indicators are the target feedback indicators. The plan to reduce pollution entering the river is more important than the plan to reconstruct the ecological space of the river. That is, the scale of the plan to reduce pollution entering the river relative to the plan to reconstruct the ecological space of the river can be 0.9.

[0049] Table 3 Scaling matrix of feedback indicators

[0050]

[0051]

[0052] Furthermore, if there are multiple scoring parties, the mode or the weighted average of the modes can be used as the scaling result.

[0053] Specifically, the mode is used as the comparison result for a certain party. For example, when multiple experts in ecological restoration give scores, the mode is used as the comparison result, which means that multiple experts have a consistent view. Alternatively, the scoring results of each party are weighted averaged based on the mode of each party. For example, if experts, functional personnel, and citizens give scores, the mode of each party is taken first, and then the mode of experts, functional personnel, and citizens is weighted averaged according to the importance.

[0054] Step S108, performing fuzzy consistency processing and normalization processing on multiple scale matrices in turn to obtain multiple weight vectors, and determining a comprehensive weight based on the multiple weight vectors; wherein the scale matrix includes a first scale matrix and a second scale matrix.

[0055] Specifically, the fuzzy consistency algorithm is a method for processing uncertain information and can be used to deal with fuzziness and uncertainty in the evaluation of protection schemes.

[0056] Furthermore, in some preferred embodiments of the present invention, the fuzzy consistency matrix is ​​determined based on the following formula: Among them, r ij is the element in the i-th row and j-th column of the fuzzy consistency matrix, r i is the sum of the elements in the i-th row of the scaling matrix, rj is the sum of the elements in the jth column of the scaling matrix, and n is the order of the fuzzy consistency matrix.

[0057] Specifically, normalization is the process of converting data into a uniform range or scale to facilitate comparison and analysis.

[0058] Furthermore, in some preferred embodiments of the present invention, the weight vector is determined based on the following formula: a=(n-1) / 2; where W i is the i-th element of the weight vector, n is the order of the fuzzy consistency matrix, r ik is the element in the i-th row and k-th column of the fuzzy consistency matrix.

[0059] For example, for the matrix B=b ij Sum of rows of (n×n) Table 3 shows the r corresponding to the feedback index. i .

[0060] pass The fuzzy consistency matrix R is obtained as follows: ij ), R is an n×n matrix, and the matrix R is normalized to obtain the factor sorting vector W = (W1, W2, ..., W n ) T , where the W vector satisfies Where n is the matrix order, a = (n-1) / 2, and ∑W i =1. Table 4 shows the first fuzzy consistency matrix and the first weight vector of the feedback indicators, and Table 5 shows the second fuzzy consistency matrix and the second weight vector of the protection scheme. The weight value shows that in the indicator layer of the feedback model, the numerical value of the weight of the physical and chemical indicators, nutrient salt indicators, unconventional indicators, hydraulic indicators and biological indicators reflects their importance in the stage of reducing pollution entering the river basin. The larger the weight, the more important the indicator is and the more urgent it is to be assessed.

[0061] Table 4 Fuzzy consistency matrix and weight vector of feedback indicators

[0062]

[0063] Specifically, the comprehensive weight is the weight obtained by considering the importance of feedback indicators and implementation plans, and can be used to evaluate the comprehensive effects of different protection plans.

[0064] Exemplarily, the product of the first weight and the second weight is used as the comprehensive weight, see Table 5, in which W B1 W is the first weight vector determined by B1 based on the ecological recovery goal and the initial stage of implementation, B2W is the first weight vector determined by B2 based on the ecological recovery goal and the initial stage of implementation. D1-B1 To reduce the pollution entering the river (D1) based on the second weight vector under the feedback index B1, W D2-B1 To regulate the internal pollution of the river (D2), based on the second weight vector under the feedback index B1, W D1-B2 To reduce the pollution entering the river (D1), the second weight vector based on the feedback index B2 is ...

[0065] Table 5 Comprehensive weight calculation table of each scheme

[0066]

[0067] Step S110, determining the target implementation plan based on the ranking of the comprehensive weights.

[0068] Specifically, based on the ranking of comprehensive weights, the implementation plan that best meets the goal of ecological recovery can be selected, providing a scientific basis for decision makers.

[0069] The present invention provides an evaluation method for a water area ecological recovery plan, comprising: obtaining an ecological recovery target of a target water area and an implementation start stage of protection of the target water area; determining a first scale matrix of feedback indicators corresponding to the target water area based on the ecological recovery target and the implementation start stage; wherein the feedback indicators include at least one of the following: physicochemical indicators, nutrient salt indicators, unconventional indicators, hydraulic indicators and biological indicators; determining a second scale matrix of a protection plan based on the target feedback indicators; obtaining multiple weight vectors after fuzzy consistency processing and normalization processing are performed on multiple scale matrices in turn, and determining a comprehensive weight based on the multiple weight vectors; wherein the scale matrix includes a first scale matrix and a second scale matrix; determining a target protection plan based on the ranking of the comprehensive weights; scaling the water area feedback indicators and the protection plan, and then determining the comprehensive weight of the scale matrix based on a fuzzy consistency algorithm, determining the target protection plan, clarifying the starting point of the water area ecological recovery, paying full attention to the feedback indicators, determining different protection plans for different recovery stages, reducing resource waste, and improving the efficiency of water area ecological recovery.

[0070] Embodiment 2

[0071] Based on the above embodiments, the embodiments of the present invention provide another method for evaluating water ecological restoration programs, wherein the feedback indicators include at least one sub-feedback indicator; wherein the physical and chemical indicators include at least one of the following sub-feedback indicators: odor, transparency, dissolved oxygen and chemical oxygen demand; the nutrient salt indicators include at least one of the following sub-feedback indicators: ammonia nitrogen, total phosphorus, total nitrogen; the unconventional indicators include the sub-feedback indicators: heavy metals; the hydraulic indicators include at least one of the following sub-feedback indicators: flow rate and water level; the biological indicators include the sub-feedback indicators: biodiversity, exemplarily, the sub-feedback indicator evaluation system for polluted water sections shown in Table 6.

[0072] Table 6 Feedback index evaluation system for polluted water section

[0073]

[0074] See also Figure 2 The flowchart of another method for evaluating aquatic ecological restoration scheme provided by an embodiment of the present invention is shown, and the method includes:

[0075] Step S202, obtaining the ecological recovery target of the target water area and the implementation start phase of the protection of the target water area.

[0076] Step S204, determining a first scaling matrix of feedback indicators corresponding to the target water area based on the ecological recovery target and the implementation start stage.

[0077] Among them, the feedback indicators include at least one of the following: physical and chemical indicators, nutrient indicators, unconventional indicators, hydraulic indicators and biological indicators.

[0078] Step S206: Select one of the sub-feedback indicators from at least one of the sub-feedback indicators as the target feedback indicator.

[0079] Step S208: determining a second scaling matrix of the protection scheme based on the target feedback index.

[0080] Specifically, a sub-feedback indicator is selected as the target feedback indicator, and the elements under the target feedback indicator are analyzed pairwise based on the 0.1-0.9 scaling method shown in Table 2, and the weight values ​​are calculated. Another sub-feedback indicator is continuously selected as the target feedback indicator until the scaling of the protection scheme is completed under all the feedback indicators.

[0081] Step S210: determining a third scaling matrix of sub-feedback indicators corresponding to the target water area based on the ecological recovery target and the implementation start stage.

[0082] Step S212, performing fuzzy consistency processing and normalization processing on multiple scale matrices in turn to obtain multiple weight vectors, and determining a comprehensive weight based on the multiple weight vectors.

[0083] Specifically, by calculating the comprehensive weight value of each sub-feedback indicator, the comprehensive weight value W' of the sub-feedback factor for reducing the pollution entering the river from the basin can be obtained. Taking the reduction of pollution entering the river from the basin as an example, the calculation public notice and form are shown in Table 7.

[0084] For details, see W in Table 7 B1 To W B14 , W B21 To W B23 , W B31 , W B41 , W B42 and W B51 are all weight vectors of sub-feedback indicators calculated based on the elements in the third scaling matrix; W B11 W is the third weight vector determined by B11 based on the ecological recovery goal and the initial stage of implementation. B12 The third weight vector determined by B12 based on the ecological recovery target and the implementation start stage…Step S214, determining the target protection plan based on the ranking of the comprehensive weights.

[0085] Table 7 Calculation table of comprehensive weights of sub-feedback indicators

[0086]

[0087] Furthermore, combined with the comprehensive weight values ​​in Table 7, the comprehensive weight values ​​of the alternatives relative to the target layer are calculated, as shown in Table 8, where W” represents the comprehensive weight. In Table 8, W D1-B11 To reduce the pollution entering the river (D1) based on the second weight vector under the sub-feedback index B11, W D2-B11 To regulate the internal pollution of the river (D2), based on the second weight vector under the feedback index B11, W D1-B13 To reduce the pollution entering the river (D1), the second weight vector based on the feedback index B12 is used...

[0088] Table 8 Comprehensive weight calculation table of each scheme

[0089]

[0090] Specifically, based on the comprehensive weight ranking of each plan, the importance and priority of each implementation plan for achieving ecological recovery of polluted waters are obtained.

[0091] Furthermore, according to the selected implementation plan and the indicator with the highest weight in the corresponding stage, if the indicator meets the requirements, it is deemed to have completed the implementation plan, and then the next stage of implementation is evaluated according to steps S202 to S222; if the preferred feedback indicator does not meet the standard, the feedback indicator and the implementation plan weight are recalculated according to the current water pollution characteristics feedback. Such as: the restoration goal is to eliminate black and odorous water bodies. Sort by the weight of the sub-feedback indicators, the larger the weight value, the higher the priority of the assessment. Corresponding to the scale scoring, the weight value is large, and the scale scoring shows that the important indicators are of high importance, that is, they must meet the standards; the weight value is small and the importance is strong or the weight value is large and the importance is weak, it is enough to be close to the standard; the weight value is small and the importance is weak, no requirements are made for indicators. And so on, until the final goal is reached.

[0092] Furthermore, an embodiment of the present invention provides a method for determining the evaluation order of sub-feedback indicators based on comprehensive subjective and objective weights.

[0093] Specifically, the subjective weight is the comprehensive weight of the sub-feedback indicators calculated in Table 7; the objective weight is calculated based on the entropy weight method.

[0094] For example, if m sub-feedback indicators have obtained n years of data, then for each indicator, the proportion of the value of each year to the total value is P i , the formula is as follows:

[0095] Information entropy of each indicator:

[0096]

[0097] Among them, P i is the proportion of the value of each indicator in each year to the total value, and E is the information entropy of each indicator.

[0098] Information redundancy of each indicator:

[0099] T = 1-E;

[0100] Among them, T is the information redundancy.

[0101] Objective weight of each indicator:

[0102]

[0103] Among them, wo is the objective weight, m ​​is the number of indicators, T j is the information redundancy of the j-th indicator.

[0104] The subjective and objective weights are combined, taking into account the subjectivity of decision makers and the objective deviation of data, and the subjective weights and objective weights are combined to obtain the comprehensive weights of sub-indicators. The specific method is as follows:

[0105] The weight matrix is ​​composed of subjective and objective weights, and the formula is as follows:

[0106]

[0107] [W T W]=ρU;

[0108] Among them, ρ is the maximum eigenvalue, U=[u1,u2] T is the corresponding feature vector, W is the comprehensive weight, wo1 to wo 11 Corresponding to the objective weights of the previous 11 sub-indicators.

[0109] According to the eigenvector U, the subjective and objective weights are linearly added to obtain the combined weight wc of all indicators. The formula is as follows:

[0110] wc j =u1·W′ j +u2·wo j ;

[0111] Among them, wc j is the comprehensive weight of the jth indicator, u1 is the first parameter, u2 is the second parameter, wo j is the objective weight of the jth indicator.

[0112] Normalize wc to obtain the comprehensive subjective and objective weights of each sub-feedback indicator.

[0113] Determine the assessment priority of sub-feedback indicators based on the ranking of comprehensive subjective and objective weights.

[0114] The embodiment of the present invention provides a method for evaluating a water ecological recovery program, and applies a feedback mechanism in the implementation process of ecological recovery of polluted waters in a river basin. According to different water characteristics, fuzzy multi-level analysis is adopted to optimize the indicators of greatest concern and the most effective implementation plan in the river basin according to local conditions. A feedback mechanism in the implementation process of ecological recovery of polluted waters in a river basin is formed, which can not only make decisions according to local conditions, but also adjust real-time plans and goals in real time, with strong flexibility and accuracy. The priority and importance of implementation plans and indicators of concern are determined based on this. By assessing feedback indicators with higher weights, it is measured whether the implementation plan has been completed and entered the next stage. And so on, until the overall goal of ecological recovery of polluted waters is achieved.

[0115] Embodiment 3

[0116] Based on the above test, the embodiment of the present invention provides a water ecological recovery program evaluation device, see Figure 3 A schematic diagram of a water ecological restoration program evaluation device provided by the embodiment of the present invention includes:

[0117] The water area determination module 310 is used to obtain the ecological recovery target of the target water area and the implementation start stage of the protection of the target water area.

[0118] The first scale matrix processing module 320 is used to determine the first scale matrix of feedback indicators corresponding to the target waters based on the ecological recovery goals and the initial stage of implementation; wherein the feedback indicators include at least one of the following: physical and chemical indicators, nutrient indicators, unconventional indicators, hydraulic indicators and biological indicators.

[0119] The second scale matrix processing module 330 is used for the second scale matrix processing module, which is used to determine the second scale matrix of the protection scheme based on the target feedback index.

[0120] The comprehensive weight processing module 340 is used to obtain multiple weight vectors after performing fuzzy consistency processing and normalization processing on multiple scale matrices in sequence, and determine the comprehensive weight based on the multiple weight vectors; wherein the scale matrix includes a first scale matrix and a second scale matrix.

[0121] The target protection scheme determination module 350 is used to determine the target protection scheme based on the ranking of the comprehensive weights.

[0122] Furthermore, in some preferred embodiments of the present invention, the comprehensive weight processing module 340 is used to determine the fuzzy consistency matrix corresponding to the scale matrix based on the fuzzy consistency algorithm; normalize the fuzzy consistency matrix to obtain the weight vector corresponding to the feedback index; and use the product of multiple weight vectors as the comprehensive weight.

[0123] Furthermore, in some preferred embodiments of the present invention, the comprehensive weight processing module 340 is used to perform fuzzy consistency processing based on the following formula: Among them, r ij is the element in the i-th row and j-th column of the fuzzy consistency matrix, r i is the sum of the elements in the i-th row of the scaling matrix, r j is the sum of the elements in the jth column of the scaling matrix, and n is the order of the fuzzy consistency matrix.

[0124] Furthermore, in some preferred embodiments of the present invention, the comprehensive weight processing module 340 is used to determine the weight vector based on the following formula: a=(n-1) / 2; where W i is the i-th element of the weight vector, n is the order of the fuzzy consistency matrix, r ik is the element in the i-th row and k-th column of the fuzzy consistency matrix.

[0125] Furthermore, in some preferred embodiments of the present invention, the feedback indicator includes at least one sub-feedback indicator; wherein the physical and chemical indicators include at least one of the following sub-feedback indicators: odor, transparency, dissolved oxygen and chemical oxygen demand; the nutrient salt indicators include at least one of the following sub-feedback indicators: ammonia nitrogen, total phosphorus, total nitrogen; the unconventional indicators include the sub-feedback indicators: heavy metals; the hydraulic indicators include at least one of the following sub-feedback indicators: flow rate and water level; the biological indicators include the sub-feedback indicators: biodiversity.

[0126] Furthermore, in some preferred embodiments of the present invention, the second scale matrix processing module 330 is used to use at least one sub-feedback indicator as a target feedback indicator; and determine a second scale matrix of the protection scheme based on the target feedback indicator.

[0127] Furthermore, in some preferred embodiments of the present invention, the device also includes: a third scale matrix processing module, which is used to determine the third scale matrix of sub-feedback indicators corresponding to the target waters based on the ecological recovery goals and the initial stage of implementation.

[0128] Furthermore, in some preferred embodiments of the present invention, the device also includes: a sub-feedback indicator assessment module, which is used to determine the objective weight, and determine the comprehensive weight of the sub-indicator based on the comprehensive weight and the objective weight.

[0129] Technical personnel in the relevant field can clearly understand that, for the convenience and simplicity of description, the specific working process of the water ecological restoration program evaluation device described above can refer to the corresponding process in the aforementioned embodiment of the water ecological restoration program evaluation method, and will not be repeated here.

[0130] Embodiment 4

[0131] The embodiment of the present invention also provides an electronic device for running a method for evaluating a water ecological restoration program; see Figure 4 The structural schematic diagram of an electronic device provided by an embodiment of the present invention is shown, and the electronic device includes a memory 400 and a processor 401, wherein the memory 400 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 401 to implement the above-mentioned water ecological restoration plan evaluation method.

[0132] Further, Figure 4 The electronic device shown further includes a bus 402 and a communication interface 403 , and the processor 401 , the communication interface 403 and the memory 400 are connected via the bus 402 .

[0133] The memory 400 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 403 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 402 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0134] The processor 401 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 401. The above processor 401 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 400, and the processor 401 reads the information in the memory 400 and completes the steps of the method of the above embodiment in combination with its hardware.

[0135] An embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned business recommendation method. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0136] The computer program product of the aquatic ecological restoration program evaluation method, device and electronic device provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods in the previous method embodiments. The specific implementation can be found in the method embodiments, which will not be repeated here.

[0137] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system and / or device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0138] In addition, in the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0139] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0140] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating a water ecological restoration program, characterized in that: include: Obtain the ecological recovery goals of the target waters and the implementation start phase of the protection of the target waters; Determine a first scaling matrix of feedback indicators corresponding to the target waters based on the ecological recovery target and the implementation start stage; wherein the feedback indicators include at least one of the following: physical and chemical indicators, nutrient indicators, unconventional indicators, hydraulic indicators and biological indicators; Determine a second scaling matrix of the protection scheme based on the target feedback index; After performing fuzzy consistency processing and normalization processing on multiple scale matrices in turn, multiple weight vectors are obtained, and a comprehensive weight is determined based on the multiple weight vectors; wherein the scale matrix includes the first scale matrix and the second scale matrix; A target protection scheme is determined based on the ranking of the comprehensive weights.

2. The method for evaluating aquatic ecological restoration program according to claim 1, characterized in that: After performing fuzzy consistency processing and normalization processing on multiple scale matrices in turn, multiple weight vectors are obtained, and a comprehensive weight is determined based on the multiple weight vectors; wherein the scale matrix includes the first scale matrix and the second scale matrix, comprising: Determining a fuzzy consistency matrix corresponding to the scale matrix based on a fuzzy consistency algorithm; Normalizing the fuzzy consistency matrix to obtain a weight vector corresponding to the feedback index; The product of the plurality of weight vectors is used as a comprehensive weight.

3. The method for evaluating aquatic ecological restoration scheme according to claim 1, characterized in that: The fuzzy consistency processing is performed based on the following formula: Among them, r ij is the element in the i-th row and j-th column of the fuzzy consistency matrix, r i is the sum of the elements in the i-th row of the scaling matrix, r j is the sum of the elements in the jth column of the scaling matrix, and n is the order of the fuzzy consistency matrix.

4. The method for evaluating aquatic ecological restoration program according to claim 3, characterized in that: The weight vector is determined based on the following formula: a=(n-1) / 2; Among them, W i is the i-th element of the weight vector, n is the order of the fuzzy consistency matrix, r ik is the element in the i-th row and k-th column of the fuzzy consistency matrix.

5. The method for evaluating aquatic ecological restoration scheme according to claim 1, characterized in that: The feedback indicator includes at least one sub-feedback indicator; wherein, the physical and chemical indicator includes at least one of the following sub-feedback indicators: odor, transparency, dissolved oxygen and chemical oxygen demand; the nutrient salt indicator includes at least one of the following sub-feedback indicators: ammonia nitrogen, total phosphorus, total nitrogen; the unconventional indicator includes the sub-feedback indicator: heavy metals; the hydraulic indicator includes at least one of the following sub-feedback indicators: flow rate and water level; the biological indicator includes the sub-feedback indicator: biodiversity.

6. The method for evaluating aquatic ecological restoration program according to claim 5, characterized in that: The step of determining a second scaling matrix of the protection scheme based on the target feedback index comprises: Selecting one of the sub-feedback indicators from at least one of the sub-feedback indicators as the target feedback indicator; The second scaling matrix of the protection scheme is determined based on the target feedback indicator.

7. The method for evaluating aquatic ecological restoration program according to claim 6, characterized in that: After the step of determining a second scaling matrix of the protection scheme based on the target feedback indicator, the method further includes: A third scaling matrix of sub-feedback indicators corresponding to the target waters is determined based on the ecological recovery target and the implementation start stage.

8. A water ecological recovery program evaluation device, characterized in that: include: The water area identification module is used to obtain the ecological recovery goals of the target water area and the implementation start stage of the protection of the target water area; A first scale matrix processing module, used to determine a first scale matrix of feedback indicators corresponding to the target waters based on the ecological recovery target and the implementation start stage; wherein the feedback indicators include at least one of the following: physical and chemical indicators, nutrient indicators, unconventional indicators, hydraulic indicators and biological indicators; A second scale matrix processing module, used for determining a second scale matrix of a protection scheme based on a target feedback index; A comprehensive weight processing module, used for obtaining a plurality of weight vectors after sequentially performing fuzzy consistency processing and normalization processing on a plurality of scale matrices, and determining a comprehensive weight based on the plurality of weight vectors; wherein the scale matrix includes the first scale matrix and the second scale matrix; The target protection scheme determination module is used to determine the target protection scheme based on the ranking of the comprehensive weights.

9. An electronic device, characterized in that: It comprises a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the aquatic ecological restoration program evaluation method described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores computer executable instructions. When the computer executable instructions are called and executed by the processor, the computer executable instructions prompt the processor to implement the aquatic ecological restoration plan evaluation method described in any one of claims 1 to 7.

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