Fish habitat suitability evaluation method

Abstract

The invention discloses a fish habitat suitability evaluation method, and belongs to the technical field of fish habitat suitability evaluation, and the method comprises the steps: determining a target region, carrying out the condition data collection of the target region, and obtaining the regional condition data; splitting and merging the target area according to the area condition data to obtain each evaluation area; acquiring area evaluation analysis data according to the evaluation area information; analyzing the area evaluation analysis data to obtain each supplementary collection item and a suitability value corresponding to each evaluation area; generating a corresponding evaluation curve according to each supplementary collection item and the suitability value; performing data acquisition on the target area according to each supplementary acquisition item to obtain supplementary acquisition data; inputting the supplementary collection data into the evaluation curve for matching to obtain a suitability representative value; performing equivalent classification on each evaluation area to obtain each equivalent area; setting a suitability correction value corresponding to each equivalent area; and setting an evaluation vector according to the suitability correction value corresponding to each equivalent area.

Description

Technical Field

[0001] The invention belongs to the technical field of fish habitat suitability evaluation, and specifically relates to a fish habitat suitability evaluation method. Background Art

[0002] With the continuous increase of human activities, fish habitats are increasingly disturbed and destroyed, resulting in a decrease in fish populations and threats to ecological balance. Therefore, the protection and restoration of fish habitats has become particularly important. Habitat suitability assessment is an important tool for fish protection and management. It can predict the survival and reproduction potential of fish in different environments and provide a scientific basis for the formulation of effective protection measures.

[0003] However, there are many shortcomings in the existing fish habitat suitability evaluation methods. On the one hand, most traditional evaluation methods are based on qualitative descriptions, lack scientificity and objectivity, and are difficult to accurately reflect the actual conditions of fish habitats. On the other hand, although some quantitative evaluation methods can provide more accurate results, they are often complicated to operate and costly, which is not conducive to practical application and promotion. In addition, existing evaluation methods often only focus on a single environmental factor, ignoring the complexity and diversity of fish habitats. In fact, fish habitats are affected by many factors, including water quality, water temperature, food supply, water flow speed, bottom type, etc. These factors are interrelated and interact with each other, and jointly affect the survival and reproduction of fish. Therefore, an evaluation method that can comprehensively consider multiple environmental factors is needed to more comprehensively evaluate the suitability of fish habitats.

[0004] Based on this, the present invention provides a method for evaluating the suitability of fish habitats. Summary of the invention

[0005] In order to solve the problems existing in the above scheme, the present invention provides a method for evaluating the suitability of fish habitat.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A method for evaluating the suitability of fish habitats, the method comprising:

[0008] Step 1: determine the target area, collect condition data for the target area according to preset collection items, and obtain regional condition data corresponding to the target area;

[0009] Step 2: splitting and merging the target area according to the regional condition data to obtain various evaluation areas;

[0010] Furthermore, the method of splitting and merging the target area according to the area condition data includes:

[0011] Establishing a regional model corresponding to the target region according to the regional condition data; marking the regional condition data accordingly in the regional model;

[0012] The regional model is divided into several unit areas; each unit area is evaluated by merging, and each unit area that meets the unit merging requirements is merged to obtain an evaluation area.

[0013] Furthermore, the method for dividing the unit area includes:

[0014] Analyze the terrain information in the regional model to obtain various terrain classification areas; identify the regional condition data corresponding to each position in the regional model space, and set the location characteristics of each position according to the obtained regional condition data;

[0015] Adjacent locations with the same location characteristics are merged until the locations cannot be merged within the regional model, and each merged region is marked as a unit region.

[0016] Furthermore, the method for setting the terrain classification area includes:

[0017] Step SA1: Establish an alienation analysis model. The expression of the alienation analysis model is: Where: s is the input data; the output data is the alienation value, which includes 1 or 0;

[0018] Step SA2: Identify terrain information of each terrain location in the regional model; determine the initial location;

[0019] Step SA3: Integrate the terrain information of the initial position and the terrain positions adjacent to the initial position into a terrain information set; analyze the terrain information set through the alienation analysis model to obtain alienation values ​​of the terrain positions adjacent to the initial position;

[0020] Step SA4: merging the adjacent terrain positions with alienation values ​​of 0 with the initial positions to obtain the initial area;

[0021] Step SA5: Marking each terrain position at the boundary of the initial region as the initial position; integrating the terrain information of the initial position and each terrain position adjacent to it into a terrain information set; analyzing the terrain information set through the alienation analysis model to obtain alienation values ​​of each terrain position adjacent to the initial position;

[0022] Step SA6: merging the adjacent terrain positions with alienation values ​​of 0 with the initial area to obtain a new initial area;

[0023] Step SA7: looping steps SA5 to SA6 until there is no adjacent terrain with an alienation value of 0, marking the current initial area as a terrain classification area;

[0024] Step SA7: Return to step SA2 until there is no initial position.

[0025] Furthermore, the method of conducting combined assessment on each unit area includes:

[0026] Establish a combined evaluation model. The expression of the combined evaluation model is: Where: h is the input data;

[0027] Each adjacent unit area is analyzed through the merge analysis model, and the unit areas that meet the merge requirements are merged to obtain the evaluation area.

[0028] Step 3: Obtain the assessment area information corresponding to each assessment area, and collect regional assessment analysis data according to the assessment area information; analyze the regional assessment analysis data corresponding to each assessment area to obtain the supplementary collection items and suitability values ​​corresponding to each assessment area;

[0029] Step 4: Generate the corresponding evaluation curve according to the supplementary collection items and suitability values ​​corresponding to the evaluation area;

[0030] Furthermore, the method for generating the evaluation curve includes:

[0031] Obtain regional assessment and analysis data to determine the various supplementary collection data in the assessment area, establish a coordinate system with the horizontal axis representing the supplementary collection data and the vertical axis representing the suitability representative value; adjust the horizontal axis according to each supplementary collection data;

[0032] Obtain the suitability values ​​corresponding to each supplementary collection data, marked as SYi, i = 1, 2, ..., n, n is a positive integer; according to the formula Calculate the representative value of suitability for each supplementary collected data; where: DSY is the representative value of suitability;

[0033] Corresponding coordinate points are generated in the coordinate system according to the representative values ​​of the suitability of each supplementary collected data, and corresponding evaluation curves are generated according to each coordinate point.

[0034] Step 5: Collect data from the target area according to each supplementary collection item to obtain the supplementary collection data corresponding to each assessment area; input the supplementary collection data into the assessment curve for matching to obtain the representative value of suitability corresponding to each assessment area;

[0035] Step 6: Classify each assessment area equally to obtain each equivalent area; set the suitability correction value corresponding to each equivalent area;

[0036] Furthermore, the method for setting the suitability correction value includes:

[0037] Obtain each fitness representative value corresponding to the equivalent area and the area volume corresponding to each fitness representative value;

[0038] According to the formula Calculate the corresponding fitness correction value;

[0039] Where: QA is the suitability correction value; j represents the evaluation area corresponding to the equivalent area; Vj is the corresponding regional volume; DSY is the corresponding suitability representative value.

[0040] Step 7: Set the corresponding evaluation vector according to the corresponding suitability correction value of each equivalent area, and substitute each suitability correction value as an element value into the preset vector template; perform suitability evaluation on the target area according to the evaluation vector to obtain the corresponding suitability evaluation data.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The present invention comprehensively considers multiple environmental factors, such as water quality, food source, water temperature, water depth, flow rate, bottom quality, etc., to accurately evaluate the suitability of fish habitats. This helps to more accurately understand the actual conditions of fish habitats and provide a scientific basis for fish protection and ecological restoration. Problems and deficiencies in habitats can be discovered in a timely manner, so that corresponding measures can be taken to improve them. This helps to create a more suitable living environment for fish, promote the stability and growth of their populations, and maintain the balance of the ecosystem. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] 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.

[0044] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0045] 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.

[0046] like Figure 1 As shown, a method for evaluating the suitability of fish habitats comprises:

[0047] Step 1: Determine the target area, collect conditional data for the target area according to the preset collection items, and obtain the regional condition data corresponding to the target area;

[0048] Target areas are fish habitat areas that require suitability assessment.

[0049] The collection items are set according to various factors that have an impact on the fish habitat evaluation, such as water quality, river basin topography, flow rate, temperature, season and other relevant data, and are specifically set by professionals.

[0050] Step 2: Split and merge the target area according to the regional condition data to obtain each evaluation area;

[0051] Methods for splitting and merging target areas according to regional condition data include:

[0052] Establish a regional model corresponding to the target area based on the regional condition data, and establish a three-dimensional display model based on three-dimensional visualization technology; mark the water quality, basin topography, flow rate and other relevant data corresponding to each location in the regional condition data in the regional model accordingly, and adjust the model according to the corresponding data to make it more intuitive;

[0053] The regional model is divided into several unit areas according to the principle of data identity, that is, the continuous area with the same data corresponding to each factor is a unit area, which is divided according to the three-dimensional model;

[0054] Conduct a combined assessment on each unit area, merge each unit area that meets the unit merging requirements, and obtain an assessment area.

[0055] The division methods of unit area include:

[0056] Analyze the terrain information in the regional model to obtain various terrain classification areas; identify the regional condition data corresponding to each position in the regional model space, set the location features of each position according to the obtained regional condition data, and the location features are composed of the data corresponding to each collection item, wherein the terrain information is replaced by the terrain classification area to which it belongs;

[0057] Adjacent positions with the same positional features are merged until positions cannot be merged within the regional model, and the merged area of ​​each position is marked as a unit area.

[0058] The methods for setting terrain classification areas include:

[0059] Step SA1: Obtain a large amount of possible terrain information, and establish a corresponding alienation analysis model based on the obtained terrain information. The alienation analysis model is established based on the isolation forest algorithm. The terrain adjacent to the location with the same impact on fish is regarded as normal terrain, otherwise it is regarded as abnormal terrain, that is, the corresponding terrain information is abnormal data; the expression is Where: s 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.

[0060] Step SA2: Identify the terrain information of each terrain position in the regional model, which refers to the bottom terrain; select any terrain position as the initial position, which is not a terrain position in the terrain classification area;

[0061] Step SA3: Integrate the terrain information of the initial position and the terrain positions adjacent to the initial position into a terrain information set; analyze the terrain information set through the alienation analysis model to obtain alienation values ​​of the terrain positions adjacent to the initial position;

[0062] Step SA4: merging the adjacent terrain positions with alienation values ​​of 0 with the initial positions to obtain the initial area;

[0063] Step SA5: Mark each terrain position at the boundary of the initial region as the initial position, which belongs to the initial region; integrate the terrain information of the initial position and each terrain position adjacent to it into a terrain information set, excluding the initial region to avoid repeated analysis; analyze the terrain information set through the alienation analysis model to obtain the alienation values ​​of each terrain position adjacent to the initial position;

[0064] Step SA6: merging the adjacent terrain positions with alienation values ​​of 0 with the initial area to obtain a new initial area;

[0065] Step SA7: looping steps SA5 to SA6 until there is no adjacent terrain with an alienation value of 0, marking the current initial area as a terrain classification area;

[0066] Step SA7: Return to step SA2 until there is no initial position.

[0067] Methods for combined assessment of each unit area include:

[0068] A large amount of historical fish habitat assessment data was obtained. Based on the historical fish habitat assessment data, it was determined which factor data ranges could be considered the same for fish habitat and suitability assessment, that is, the impact on fish within the data range was the same. Based on this, a combined assessment model was established. The combined assessment model was used to analyze whether the unit characteristics corresponding to the two unit areas were likely to be equivalent, that is, whether the merging requirements were met. The unit characteristics were the original location characteristics; the expression was Where: h is the input data, that is, the unit feature that needs to be compared and analyzed;

[0069] Each adjacent unit area is analyzed through a merge analysis model, and the unit areas that meet the merge requirements are merged to obtain an evaluation area.

[0070] Step 3: Obtain the information of each assessment area, that is, the unit characteristic data corresponding to the corresponding unit area; obtain a large amount of historical suitability assessment data under the same conditions based on the assessment area information, that is, various suitability evaluations that may be had for fish habitats with the same impact as the assessment area, and mark the corresponding data as regional assessment and analysis data; sort out the regional assessment and analysis data corresponding to each assessment area, and obtain the supplementary collection items and suitability values ​​corresponding to each assessment area; the suitability value is set according to the possible suitability evaluations, and is converted into a percentage system to form a corresponding score; the supplementary collection items are obtained by comparing the regional assessment and analysis data with the assessment area information, because the regional assessment data is retrieved and collected based on the assessment area information, and other factors in the regional assessment data are the same as the assessment area information, but there are some factors that are not included in the assessment area information, which are also the reasons and influencing factors for the differences in suitability evaluations, so set the supplementary collection items according to the corresponding influencing factors; such as fish species, fish quantity, etc.

[0071] Step 4: Generate the corresponding evaluation curve according to the supplementary collection items and suitability values ​​corresponding to the evaluation area;

[0072] That is, the representative value of suitability under the condition of the factor is calculated according to the average value of each suitability value corresponding to the same factor; the different data corresponding to different supplementary collection items are used as the horizontal axis, and the vertical axis is the representative value of suitability. The corresponding representative values ​​of suitability are input into the coordinate system and connected to form an evaluation curve.

[0073] Step 5: Collect data from the target area according to each supplementary collection item to obtain the supplementary collection data corresponding to each assessment area; input the supplementary collection data into the assessment curve for matching to obtain the representative value of suitability corresponding to each assessment area.

[0074] Step 6: Classify each assessment area equally to obtain each equivalent area; that is, the assessment areas that are the same but formed because they are not adjacent are regarded as an equivalent area, because whether they are adjacent is a measurement factor when merging unit areas; the combined assessment model can be used for analysis, and the assessment areas that meet the merging requirements can be classified into one category as an equivalent area; adjustments are made according to the corresponding representative values ​​of the suitability of each equivalent area to obtain the corrected suitability values ​​of each equivalent area; corrections and adjustments are made using different representative values ​​of suitability of the equivalent area to obtain a more realistic suitability value for the equivalent area; and the error problems caused by various external factors are reduced.

[0075] The methods for setting the suitability correction value include:

[0076] Obtain each fitness representative value corresponding to the equivalent area and the area volume corresponding to each fitness representative value;

[0077] According to the formula Calculate the corresponding fitness correction value;

[0078] Where: QA is the suitability correction value; j represents the evaluation area corresponding to the equivalent area; Vj is the corresponding regional volume; DSY is the corresponding suitability representative value.

[0079] Step 7: Set the corresponding evaluation vector according to the corresponding suitability correction value of each equivalent area, and substitute each suitability correction value as an element value into the preset vector template; perform suitability evaluation on the target area according to the evaluation vector to obtain the corresponding suitability evaluation data.

[0080] Through the above method, various possible evaluation vectors are simulated according to the historical data of the target area, and corresponding suitability evaluation data are set according to each evaluation vector, and integrated into a training set; a corresponding suitability evaluation model is established based on a neural network such as a CNN network or a DNN network, and training is performed using the established training set. After successful training, the fitness evaluation model is used for analysis to obtain the corresponding suitability evaluation data.

[0081] 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.

[0082] 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 suitability of fish habitats, characterized in that: Methods include: Step 1: determine the target area, collect condition data for the target area according to preset collection items, and obtain regional condition data corresponding to the target area; Step 2: splitting and merging the target area according to the regional condition data to obtain various evaluation areas; Step 3: Obtain the assessment area information corresponding to each assessment area, and collect regional assessment analysis data according to the assessment area information; analyze the regional assessment analysis data corresponding to each assessment area to obtain the supplementary collection items and suitability values ​​corresponding to each assessment area; Step 4: Generate the corresponding evaluation curve according to the supplementary collection items and suitability values ​​corresponding to the evaluation area; Step 5: Collect data from the target area according to each supplementary collection item to obtain the supplementary collection data corresponding to each assessment area; input the supplementary collection data into the assessment curve for matching to obtain the representative value of suitability corresponding to each assessment area; Step 6: Classify each assessment area equally to obtain each equivalent area; set the suitability correction value corresponding to each equivalent area; Step 7: Set the corresponding evaluation vector according to the suitability correction value corresponding to each equivalent area, conduct suitability evaluation on the target area according to the evaluation vector, and obtain the corresponding suitability evaluation data.

2. A method for evaluating fish habitat suitability according to claim 1, characterized in that: Methods for splitting and merging target areas according to regional condition data include: Establishing a regional model corresponding to the target region according to the regional condition data; marking the regional condition data accordingly in the regional model; The regional model is divided into several unit areas; each unit area is evaluated by merging, and each unit area that meets the unit merging requirements is merged to obtain an evaluation area.

3. A method for evaluating fish habitat suitability according to claim 2, characterized in that: The division methods of unit area include: Analyze the terrain information in the regional model to obtain various terrain classification areas; identify the regional condition data corresponding to each position in the regional model space, and set the location characteristics of each position according to the obtained regional condition data; Adjacent locations with the same location characteristics are merged until the locations cannot be merged within the regional model, and each merged region is marked as a unit region.

4. A method for evaluating fish habitat suitability according to claim 3, characterized in that: The methods for setting terrain classification areas include: Step SA1: Establish an alienation analysis model. The expression of the alienation analysis model is: Where: s is the input data; the output data is the alienation value, which includes 1 or 0; Step SA2: Identify terrain information of each terrain location in the regional model; determine the initial location; Step SA3: Integrate the terrain information of the initial position and the terrain positions adjacent to the initial position into a terrain information set; analyze the terrain information set through the alienation analysis model to obtain alienation values ​​of the terrain positions adjacent to the initial position; Step SA4: merging the adjacent terrain positions with alienation values ​​of 0 with the initial positions to obtain the initial area; Step SA5: Marking each terrain position at the boundary of the initial region as the initial position; integrating the terrain information of the initial position and each terrain position adjacent to it into a terrain information set; analyzing the terrain information set through the alienation analysis model to obtain alienation values ​​of each terrain position adjacent to the initial position; Step SA6: merging the adjacent terrain positions with alienation values ​​of 0 with the initial area to obtain a new initial area; Step SA7: looping steps SA5 to SA6 until there is no adjacent terrain with an alienation value of 0, marking the current initial area as a terrain classification area; Step SA7: Return to step SA2 until there is no initial position.

5. A method for evaluating fish habitat suitability according to claim 2, characterized in that: Methods for combined assessment of each unit area include: Establish a combined evaluation model. The expression of the combined evaluation model is: Where: h is the input data; Each adjacent unit area is analyzed through the merge analysis model, and the unit areas that meet the merge requirements are merged to obtain the evaluation area.

6. A method for evaluating fish habitat suitability according to claim 1, characterized in that: The methods for generating the evaluation curve include: Obtain regional assessment and analysis data to determine the various supplementary collection data in the assessment area, establish a coordinate system with the horizontal axis representing the supplementary collection data and the vertical axis representing the suitability representative value; adjust the horizontal axis according to each supplementary collection data; Obtain the suitability values ​​corresponding to each supplementary collection data, marked as SYi, i = 1, 2, ..., n, n is a positive integer; according to the formula Calculate the representative value of suitability for each supplementary collected data; where: DSY is the representative value of suitability; Corresponding coordinate points are generated in the coordinate system according to the representative values ​​of the suitability of each supplementary collected data, and corresponding evaluation curves are generated according to each coordinate point.

7. A method for evaluating fish habitat suitability according to claim 1, characterized in that: The methods for setting the suitability correction value include: Obtain each fitness representative value corresponding to the equivalent area and the area volume corresponding to each fitness representative value; According to the formula Calculate the corresponding fitness correction value; Where: QA is the suitability correction value; j represents the evaluation area corresponding to the equivalent area; Vj is the corresponding regional volume; DSY is the corresponding suitability representative value.

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