Ecological scheduling effect evaluation method

Abstract

The invention discloses an ecological scheduling effect assessment method, and belongs to the technical field of ecological scheduling effect assessment, and the method comprises the steps: recognizing a target region, and dividing the target region into a plurality of assessment regions; obtaining an ecological scheduling scheme and an expected scheduling effect of the ecological scheduling scheme; setting each monitoring item according to the expected scheduling effect, and monitoring each evaluation area according to each monitoring item to obtain unit monitoring data corresponding to each unit area; calculating a monitoring value of each monitoring item according to the monitoring data of each unit; integrating the monitoring values corresponding to the monitoring items into monitoring effect data, and performing real-time comparative analysis on the monitoring effect data and an expected scheduling effect to obtain scheduling evaluation data; adjusting the ecological scheduling according to preset processing measures and the scheduling evaluation data; therefore, comprehensive, real-time and accurate monitoring and evaluation of the fish ecosystem are realized, and problems faced by the fish ecosystem can be found and solved in time.

Description

Technical Field

[0001] The present invention belongs to the technical field of ecological dispatching effect evaluation, and specifically relates to an ecological dispatching effect evaluation method. Background Art

[0002] As an important component of aquatic ecosystems, fish population size, distribution and health status directly reflect the balance of aquatic ecosystems. However, with the continuous intensification of human activities, water pollution, overfishing, water area transformation and other issues have posed a serious threat to fish ecosystems. Therefore, implementing effective ecological scheduling measures to protect and restore the health and stability of fish ecosystems has become an important task in current fish resource management and ecological protection.

[0003] In terms of fish ecological regulation, although there are some traditional monitoring and assessment methods, such as fish population statistics and growth index measurements, these methods often have problems such as difficulty in obtaining data, inaccurate assessment results, and difficulty in reflecting the overall status of the ecosystem. At the same time, existing ecological regulation measures often lack pertinence and effectiveness, making it difficult to achieve the expected protection and restoration effects.

[0004] In recent years, with the continuous advancement of science and technology, the application of new technologies in the evaluation of fish ecological scheduling has gradually shown great potential. For example, remote sensing technology can be used to monitor changes in the water environment and provide decision-making support for ecological scheduling; bioinformatics technology can be used to analyze the genetic structure and diversity of fish populations, providing a scientific basis for evaluating the impact of ecological scheduling on fish populations; artificial intelligence and big data analysis technology can process and analyze large amounts of ecological data to improve the accuracy and efficiency of evaluation.

[0005] However, although the new technology provides a new means for evaluating the effect of fish ecological scheduling, how to effectively integrate these technologies to build a comprehensive, objective and efficient evaluation system is still a problem to be solved. Therefore, the present invention provides an ecological scheduling effect evaluation method. Summary of the invention

[0006] In order to solve the problems existing in the above scheme, the present invention provides an ecological scheduling effect evaluation method.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An ecological scheduling effect evaluation method, the method comprising:

[0009] Step 1: Identify the target area and divide it into several evaluation areas;

[0010] Furthermore, the method of dividing the target area into a plurality of evaluation areas includes:

[0011] Identify the terrain information in the target area and divide the target area into several terrain classification areas according to the terrain information;

[0012] Establishing a position feature template, extracting features of terrain information of each position in the target area through the position feature template, and obtaining position feature data of each position;

[0013] Determine whether the feature data of each location meet the requirements of the same assessment area, regard each location that meets the requirements of the same assessment area as the same assessment area, form each assessment area, and mark each unconnected area within the assessment area as a unit area.

[0014] Furthermore, the method for setting the terrain classification area includes:

[0015] Obtain historical terrain information and establish a terrain classification model based on the historical terrain information. The expression of the terrain classification model is: In the formula: x is the input data, the output data is the alienation value, and the alienation value includes 1 or 0;

[0016] The terrain information of each location is analyzed through the terrain classification model to obtain various alienated segmentation areas, and each alienated segmentation area is marked as a terrain classification area.

[0017] Furthermore, the method of analyzing each location through the terrain classification model includes:

[0018] Step SA1: determine the initial position, analyze the initial position and the adjacent positions of the initial position through the terrain classification model, and obtain the alienation value of each adjacent position;

[0019] Step SA2: merge the adjacent positions with alienation values ​​of 0 with the initial positions to obtain the initial region;

[0020] Step SA3: Mark each position of the initial area boundary as an initial position; analyze the initial position and the adjacent positions of the initial position through the terrain classification model to obtain the alienation value of each adjacent position;

[0021] Step SA4: merge the adjacent positions with alienation values ​​of 0 with the initial region to obtain a new initial region;

[0022] Step SA5: looping steps SA3 to SA4 until there is no adjacent position with an alienation value of 0, marking each initial area as a terrain classification area;

[0023] Step SA6: Return to step SA2 until there is no initial position.

[0024] Step 2: Obtain the ecological scheduling plan and the expected scheduling effect of the ecological scheduling plan;

[0025] Step 3: Set each monitoring item according to the expected scheduling effect, monitor each assessment area according to each monitoring item, and obtain the unit monitoring data corresponding to each unit area; calculate the monitoring value of each monitoring item according to the monitoring data of each unit;

[0026] Furthermore, the calculation method of the monitoring value includes:

[0027] Set the unit value corresponding to each unit area according to the monitoring data of each unit; calculate the corresponding single evaluation value according to each unit value corresponding to the evaluation area;

[0028] Obtain the assessment area characteristics corresponding to each assessment area, and set the corresponding characteristic coefficient according to the assessment area characteristics; mark the characteristic coefficient of each assessment area as μj;

[0029] According to the formula Calculate the monitoring value of the corresponding monitoring item;

[0030] Where: CW is the monitoring value; PGj is the single evaluation value of the corresponding evaluation area; j = 1, 2, ..., m, m is a positive integer; μj is the characteristic coefficient of the corresponding evaluation area.

[0031] Furthermore, the calculation method of the single evaluation value includes:

[0032] The unit area in the evaluation area is marked as i, i = 1, 2, ..., n, and n is a positive integer; the evaluation area is marked as j, j = 1, 2, ..., m, and m is a positive integer; the unit value of each unit area is marked as DYij;

[0033] According to the formula Calculate a single assessment value for each assessment area;

[0034] In the formula: PGj is a single evaluation value of the corresponding evaluation area; j=1, 2, ..., m, where m is a positive integer; DYij is a unit value of the corresponding unit area in the corresponding evaluation area; i=1, 2, ..., n, where n is a positive integer.

[0035] Step 4: Integrate the monitoring values ​​corresponding to each monitoring item into monitoring effect data, compare and analyze the monitoring effect data with the expected scheduling effect in real time, and obtain scheduling evaluation data;

[0036] Furthermore, the method of comparing and analyzing the monitoring effect data with the expected scheduling effect in real time includes:

[0037] According to the monitoring effect data and the expected scheduling effect, the monitoring value and expected value of each monitoring item at the corresponding time are identified in real time;

[0038] According to the formula Calculate the effect deviation value corresponding to the time;

[0039] Where: Rt is the effect deviation value, t represents the corresponding time; ηz represents the weight coefficient of the corresponding monitoring item; z = 1, 2, ..., v, v is a positive integer; YAzt represents the expected value of the corresponding monitoring item at the corresponding time; CWzt represents the monitoring value of the corresponding monitoring item at the corresponding time;

[0040] With time as the horizontal axis and the effect deviation value as the vertical axis, a corresponding effect deviation curve is generated according to the effect deviation value;

[0041] Fit the effect deviation curve to obtain the corresponding curve function, and mark the curve function as F(t);

[0042] According to the formula Calculate the corresponding scheduling evaluation value; where: PR is the scheduling evaluation value;

[0043] The scheduling evaluation data is determined according to the scheduling evaluation value and the effect deviation value at the corresponding time; the scheduling evaluation data includes the normal scheduling evaluation result and the abnormal scheduling evaluation result.

[0044] Step 5: Adjust the ecological scheduling according to the scheduling assessment data based on the preset treatment measures.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] This method can realize comprehensive, real-time and accurate monitoring and evaluation of fish ecosystems, which will help to timely discover and solve problems facing fish ecosystems, such as water pollution and overfishing, so as to effectively protect and restore the health and stability of fish resources; it can also objectively and scientifically evaluate the effects of ecological scheduling measures, and provide strong support for the formulation and optimization of fish resource management and ecological protection strategies; through block-based comparative analysis, a more accurate verification of expected effects can be achieved, which is convenient for timely discovery of deviation problems and adjustment of applied ecological scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in 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 described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0049] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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.

[0050] like Figure 1 As shown, a method for evaluating the effect of ecological scheduling includes:

[0051] Step 1: Identify the target area and divide it into several evaluation areas;

[0052] The target area is the area where ecological scheduling effect evaluation is required.

[0053] Methods for dividing the target area into several evaluation areas include:

[0054] Identify terrain information in the target area, such as geology, shape and other related terrain description data; divide the target area into several terrain classification areas according to the terrain information; establish a location feature template, which is composed of various location feature items, and each location feature item is set according to the evaluation requirements of fish ecological scheduling, that is, various factors related to ecological evaluation, such as water temperature, flow rate, terrain, etc., among which, for terrain feature item data, the terrain classification area is used as the data of the terrain feature item; for example, the terrain characteristics of the spatial watershed corresponding to a certain terrain classification area are all the terrain classification area;

[0055] Extracting features from the terrain information of each location in the target area through the location feature template to obtain location feature data of each location;

[0056] Determine whether the characteristic data of each location meet the requirements of the same assessment area. The requirement of the same assessment area refers to whether the characteristic data of the two locations being compared have the same impact when evaluating ecological scheduling, that is, to make a judgment based on whether they have different impacts. Specifically, it is necessary to summarize the existing historical scheduling evaluation data and determine the data range of factors with the same impact, and then make corresponding matching judgments. All locations that meet the requirements of the same assessment area are regarded as the same assessment area to form each assessment area, and the unconnected areas within the assessment area are marked as unit areas. Because of the differences in the characteristic items of each location, the same assessment area will be divided into multiple unconnected areas.

[0057] The method for setting the terrain classification area includes:

[0058] The historical terrain information is obtained, and a terrain classification model is established based on the isolation forest algorithm. The terrain adjacent to the location with the same ecological impact is considered normal terrain, and the opposite is considered abnormal terrain. The expression of the terrain classification model is: Where: x is the input data, that is, the terrain information set, that is, the terrain information of a certain location and the set of terrain information adjacent to it; the output data is the alienation value, which includes 1 or 0.

[0059] Each location is analyzed through a terrain classification model to obtain various alienated segmentation areas, and each alienated segmentation area is marked as a terrain classification area.

[0060] Methods for analyzing locations using terrain classification models include:

[0061] Step SA1: Determine the initial position, which can be any position selected as the initial position or manually specified; integrate the terrain information of the initial position and each position adjacent to it into a terrain information set; analyze the terrain information set through a terrain classification model to obtain the alienation value of each position adjacent to the initial position;

[0062] Step SA2: merge the adjacent positions with alienation values ​​of 0 with the initial positions to obtain the initial region;

[0063] Step SA3: Mark each position on the boundary of the initial region as an initial position, which belongs to the initial region; integrate the terrain information of the initial position and each position adjacent to it into a terrain information set, excluding the initial region to avoid repeated analysis; analyze the terrain information set through a terrain classification model to obtain alienation values ​​of each position adjacent to the initial position;

[0064] Step SA4: merge the adjacent positions with alienation values ​​of 0 with the initial region to obtain a new initial region;

[0065] Step SA5: looping steps SA3 to SA4 until there is no adjacent position with an alienation value of 0, marking each initial area as a terrain classification area;

[0066] Step SA6: Return to step SA2 until there is no initial position.

[0067] Step 2: Obtain the ecological scheduling plan and the expected scheduling effect of the ecological scheduling plan;

[0068] The ecological scheduling plan and expected scheduling effect are both set during the ecological scheduling plan planning stage.

[0069] Step 3: Set each monitoring item according to the expected scheduling effect, that is, collect data items related to its scheduling effect; monitor each assessment area according to each monitoring item, obtain monitoring data of each unit area in each assessment area, and mark it as unit monitoring data; convert the unit monitoring data of each monitoring item into the corresponding unit value, that is, extract the spawning amount, number of fish, weight, etc. of each fish according to the monitoring item, and extract it according to its corresponding monitoring item;

[0070] The monitoring value of the monitoring item is calculated based on the unit value of each unit area.

[0071] The method of calculating the monitoring value of the corresponding monitoring item according to the unit value of each unit area includes:

[0072] The unit area in the evaluation area is marked as i, i = 1, 2, ..., n, n is a positive integer; the evaluation area is marked as j, j = 1, 2, ..., m, m is a positive integer; the unit value of each unit area is marked as DYij;

[0073] According to the formula Calculate a single assessment value for each assessment area;

[0074] Where: PGj is the single evaluation value of the corresponding evaluation area; j = 1, 2, ..., m, m is a positive integer; DYij is the unit value of the corresponding unit area in the corresponding evaluation area; i = 1, 2, ..., n, n is a positive integer;

[0075] Obtain historical fish ecological assessment data, that is, various historical data related to fish ecological scheduling assessment, determine the assessment area characteristics corresponding to various assessment areas based on the historical fish ecological assessment data, and set corresponding characteristic coefficients based on the impact of each assessment area characteristic on the ecological scheduling assessment. For example, for the same amount of spawning, different assessment area characteristics may represent different scheduling effects. Therefore, it is necessary to set corresponding characteristic coefficients, which are specifically discussed and set by the expert group;

[0076] Obtain the assessment area characteristics corresponding to each assessment area, and set the corresponding characteristic coefficient according to the assessment area characteristics; mark the characteristic coefficient of each assessment area as μj;

[0077] According to the formula Calculate the monitoring value of the corresponding monitoring item;

[0078] Where: CW is the monitoring value; PGj is the single evaluation value of the corresponding evaluation area; j = 1, 2, ..., m, m is a positive integer; μj is the characteristic coefficient of the corresponding evaluation area.

[0079] Step 4: Integrate the monitoring values ​​corresponding to each monitoring item into monitoring effect data, compare and analyze the monitoring effect data with the expected scheduling effect in real time, and obtain scheduling evaluation data;

[0080] Methods for real-time comparison and analysis of monitoring effect data with expected scheduling effects include:

[0081] According to the monitoring effect data and the expected scheduling effect, the monitoring value and expected value of each monitoring item at the corresponding time are identified in real time. The expected value is the value of the monitoring item at the current time determined according to the expected scheduling effect, such as the expected spawning amount of this type of fish;

[0082] According to the formula Calculate the effect deviation value corresponding to the time;

[0083] Where: Rt is the effect deviation value, t is the corresponding time; ηz is the weight coefficient of the corresponding monitoring item, which is set by the management personnel according to their attention ratio; z = 1, 2, ..., v, v is a positive integer; YAzt is the expected value of the corresponding monitoring item at the corresponding time; CWzt is the monitoring value of the corresponding monitoring item at the corresponding time;

[0084] Generate a corresponding effect deviation curve according to the obtained effect deviation value, with time as the horizontal axis and the effect deviation value as the vertical axis;

[0085] Fit the effect deviation curve to obtain the corresponding curve function, and mark the curve function as F(t);

[0086] According to the formula Calculate the corresponding scheduling evaluation value; where: PR is the scheduling evaluation value;

[0087] The scheduling evaluation data is determined according to the scheduling evaluation value and the effect deviation value at the corresponding time; specifically, it is measured and evaluated from two perspectives. One is to evaluate directly based on the effect deviation value. When the effect deviation value is greater than the threshold value X1 at a certain moment, it can be directly determined that the scheduling is abnormal, which is equivalent to the scheduling situation at that time directly exceeding the restriction condition. It is generally aimed at sudden changes in fish in fish habitats, resulting in drastic changes in monitoring data. The specific threshold value needs to be set by professionals according to actual conditions; the other is to evaluate based on the scheduling evaluation value, and compare the scheduling evaluation value with the threshold value X2. When the scheduling evaluation value is greater than the threshold value X2, it is considered as a scheduling abnormality and the deviation is too large. In summary, the scheduling evaluation data includes normal scheduling evaluation results and abnormal scheduling evaluation results.

[0088] Step 5: Adjust the ecological dispatch according to the dispatch evaluation data in accordance with the preset treatment measures. That is, when the dispatch evaluation data is an abnormal dispatch evaluation result, it means that the existing ecological dispatch method has defects and it is necessary to carry out emergency treatment and adjust the ecological dispatch method in accordance with the preset emergency treatment measures.

[0089] This method can realize comprehensive, real-time and accurate monitoring and evaluation of fish ecosystems, which is helpful to timely discover and solve problems facing fish ecosystems, such as water pollution and overfishing, so as to effectively protect and restore the health and stability of fish resources; it can also objectively and scientifically evaluate the effects of ecological scheduling measures, and provide strong support for the formulation and optimization of fish resource management and ecological protection strategies; through block-based comparative analysis, a more accurate verification of expected effects can be achieved, which facilitates the timely discovery of deviation problems and adjustments to the applied ecological scheduling.

[0090] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0091] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for evaluating the effect of ecological scheduling, characterized in that: Methods include: Step 1: Identify the target area and divide it into several evaluation areas; Step 2: Obtain the ecological scheduling plan and the expected scheduling effect of the ecological scheduling plan; Step 3: Set each monitoring item according to the expected scheduling effect, monitor each assessment area according to each monitoring item, and obtain the unit monitoring data corresponding to each unit area; calculate the monitoring value of each monitoring item according to the monitoring data of each unit; Step 4: Integrate the monitoring values ​​corresponding to each monitoring item into monitoring effect data, compare and analyze the monitoring effect data with the expected scheduling effect in real time, and obtain scheduling evaluation data; Step 5: Adjust the ecological scheduling according to the scheduling assessment data based on the preset treatment measures.

2. The ecological scheduling effect evaluation method according to claim 1 is characterized in that: Methods for dividing the target area into several evaluation areas include: Identify the terrain information in the target area and divide the target area into several terrain classification areas according to the terrain information; Establishing a position feature template, extracting features of terrain information of each position in the target area through the position feature template, and obtaining position feature data of each position; Determine whether the feature data of each location meet the requirements of the same assessment area, regard each location that meets the requirements of the same assessment area as the same assessment area, form each assessment area, and mark each unconnected area within the assessment area as a unit area.

3. The ecological scheduling effect evaluation method according to claim 2 is characterized in that: The methods for setting terrain classification areas include: Obtain historical terrain information and establish a terrain classification model based on the historical terrain information. The expression of the terrain classification model is: In the formula: x is the input data, the output data is the alienation value, and the alienation value includes 1 or 0; The terrain information of each location is analyzed through the terrain classification model to obtain various alienated segmentation areas, and each alienated segmentation area is marked as a terrain classification area.

4. The ecological scheduling effect evaluation method according to claim 3 is characterized in that: Methods for analyzing locations using terrain classification models include: Step SA1: determine the initial position, analyze the initial position and the adjacent positions of the initial position through the terrain classification model, and obtain the alienation value of each adjacent position; Step SA2: merge the adjacent positions with alienation values ​​of 0 with the initial positions to obtain the initial region; Step SA3: Mark each position of the initial area boundary as an initial position; analyze the initial position and the adjacent positions of the initial position through the terrain classification model to obtain the alienation value of each adjacent position; Step SA4: merge the adjacent positions with alienation values ​​of 0 with the initial region to obtain a new initial region; Step SA5: looping steps SA3 to SA4 until there is no adjacent position with an alienation value of 0, marking each initial area as a terrain classification area; Step SA6: Return to step SA2 until there is no initial position.

5. The ecological scheduling effect evaluation method according to claim 1 is characterized in that: The calculation method of monitoring value includes: Set the unit value corresponding to each unit area according to the monitoring data of each unit; calculate the corresponding single evaluation value according to each unit value corresponding to the evaluation area; Obtain the assessment area characteristics corresponding to each assessment area, and set the corresponding characteristic coefficient according to the assessment area characteristics; mark the characteristic coefficient of each assessment area as μj; According to the formula Calculate the monitoring value of the corresponding monitoring item; Where: CW is the monitoring value; PGj is the single evaluation value of the corresponding evaluation area; j = 1, 2, ..., m, m is a positive integer; μj is the characteristic coefficient of the corresponding evaluation area.

6. The ecological scheduling effect evaluation method according to claim 5 is characterized in that: The calculation method of single assessment value includes: The unit area in the evaluation area is marked as i, i = 1, 2, ..., n, and n is a positive integer; the evaluation area is marked as j, j = 1, 2, ..., m, and m is a positive integer; the unit value of each unit area is marked as DYij; According to the formula Calculate a single assessment value for each assessment area; In the formula: PGj is a single evaluation value of the corresponding evaluation area; j=1, 2, ..., m, where m is a positive integer; DYij is a unit value of the corresponding unit area in the corresponding evaluation area; i=1, 2, ..., n, where n is a positive integer.

7. The ecological scheduling effect evaluation method according to claim 1 is characterized in that: Methods for real-time comparison and analysis of monitoring effect data with expected scheduling effects include: According to the monitoring effect data and the expected scheduling effect, the monitoring value and expected value of each monitoring item at the corresponding time are identified in real time; According to the formula Calculate the effect deviation value corresponding to the time; Where: Rt is the effect deviation value, t represents the corresponding time; ηz represents the weight coefficient of the corresponding monitoring item; z = 1, 2, ..., v, v is a positive integer; YAzt represents the expected value of the corresponding monitoring item at the corresponding time; CWzt represents the monitoring value of the corresponding monitoring item at the corresponding time; With time as the horizontal axis and the effect deviation value as the vertical axis, a corresponding effect deviation curve is generated according to the effect deviation value; Fit the effect deviation curve to obtain the corresponding curve function, and mark the curve function as F(t); According to the formula Calculate the corresponding scheduling evaluation value; where: PR is the scheduling evaluation value; The scheduling evaluation data is determined according to the scheduling evaluation value and the effect deviation value at the corresponding time; the scheduling evaluation data includes the normal scheduling evaluation result and the abnormal scheduling evaluation result.

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