Multi-dimensional comprehensive evaluation method and system for ecological environment of river and lake

Abstract

The invention provides a river and lake ecological environment multi-dimensional comprehensive evaluation method and system, and relates to the technical field of data processing, and the method comprises the steps: initializing a particle swarm, and enabling each particle in the particle swarm to represent a potential final solution of a river and lake ecological environment evaluation model, including a parameter set of the river and lake ecological environment evaluation model; a group of particles is initialized, each particle has two attributes of position and speed, the position represents a possible combination of parameters of the river and lake ecological environment evaluation model, and the speed is used for updating the positions of the particles; updating the speed and position of each particle by using a PSO algorithm, evaluating the performance of each particle after each iteration to obtain an evaluation value, and performing iterative optimization until a stop condition is met to obtain final river and lake ecological environment evaluation model parameters; and constructing a multi-dimensional river and lake ecological environment evaluation model by using the final river and lake ecological environment evaluation model parameters. According to the invention, a more accurate and comprehensive evaluation result can be obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a multi-dimensional comprehensive evaluation method and system for river and lake ecological environment. Background Art

[0002] Traditional river and lake ecological environment assessment methods usually focus on a single indicator or a few indicators. Although this approach can reflect certain aspects of the river and lake ecological environment to a certain extent, it is difficult to fully and truly reveal its overall situation. Specifically, this one-sided assessment method has the following defects: The ecological environment of rivers and lakes is a complex system, which includes multiple interrelated and mutually influential elements such as water quality, ecological communities, bottom quality, and hydrological conditions. There are complex interactions and constraints between these elements, which together constitute the overall status of the ecological environment of rivers and lakes. However, traditional assessment methods often only focus on one or a few indicators, such as only testing and evaluating water quality, or only observing and analyzing a specific ecological community. This approach ignores the impact of other factors on the ecological environment of rivers and lakes, resulting in one-sided assessment results. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a multi-dimensional comprehensive evaluation method and system for river and lake ecological environment, which can obtain more accurate and comprehensive evaluation results.

[0004] In order to solve the above technical problems, the technical solution of the present invention is as follows: In a first aspect, a multi-dimensional comprehensive evaluation method for river and lake ecological environment is provided, the method comprising: Step 1: Collect water quality data of rivers and lakes, ecological data of rivers and lakes, and environmental data around rivers and lakes; Step 2: preprocess the water quality data of rivers and lakes, the ecological data of rivers and lakes, and the environmental data around rivers and lakes to form a standardized data set; Step 3, initialize the particle swarm, each particle in the particle swarm represents a potential final solution of the river and lake ecological environment assessment model, including the parameter set of the river and lake ecological environment assessment model; initialize a group of particles, each particle has two attributes of position and speed, the position represents a possible combination of the parameters of the river and lake ecological environment assessment model, and the speed is used to update the position of the particle; use the PSO algorithm to update the speed and position of each particle, and after each iteration, evaluate the performance of each particle to obtain the evaluation value, iterate and optimize until the stop condition is met to obtain the final parameters of the river and lake ecological environment assessment model; use the final parameters of the river and lake ecological environment assessment model to construct a multi-dimensional river and lake ecological environment assessment model; Step 4: Use the river and lake ecological environment assessment model to conduct a multi-dimensional comprehensive assessment and obtain the assessment results.

[0005] Furthermore, the water quality data of rivers and lakes include dissolved oxygen content, ammonia nitrogen content, total phosphorus content, and chemical oxygen demand; the ecological data of rivers and lakes include aquatic biodiversity, vegetation coverage, and benthic animal population structure; and the environmental data around rivers and lakes include surrounding land use, pollution source distribution, and rainfall.

[0006] Furthermore, the performance of each particle is evaluated to obtain evaluation values, including: Obtain the actual value and standard value of a single water quality indicator; determine the contribution value of the water quality indicator based on the actual value and standard value of the water quality indicator; Obtain the actual value and standard value of a single ecological indicator; determine the ecological indicator contribution value based on the actual value and standard value of the ecological indicator; Obtain the actual value and standard value of a single environmental indicator; determine the contribution value of the environmental indicator based on the actual value and standard value of the environmental indicator; The contribution values ​​of water quality indicators, ecological indicators and environmental indicators are integrated to obtain the evaluation value.

[0007] Furthermore, the final river and lake ecological environment assessment model parameters are used to construct a multi-dimensional river and lake ecological environment assessment model, including: Determine the assessment indicators that reflect the ecological environment of rivers and lakes based on the assessment objectives and collected data, including water quality indicators, ecological indicators and environmental indicators; Determine the river and lake ecological environment assessment model based on the assessment indicators.

[0008] Furthermore, the river and lake ecological environment assessment model The calculation formula is: ; in, represents the actual value of the i-th water quality index; represents the standard value of the i-th water quality index; represents the weight of the i-th water quality index; Indicates the total number of water quality indicators; Indicates The actual value of each ecological indicator; Indicates Standard values ​​of ecological indicators; Indicates The weight of each ecological indicator; m represents the total number of ecological indicators; represents the actual value of the kth environmental indicator; represents the standard value of the kth environmental indicator; represents the weight of the kth environmental indicator; Indicates the total number of environmental indicators; , and Indicates the index value.

[0009] Second, a multi-dimensional comprehensive evaluation system for river and lake ecological environment, including: The acquisition module is used to collect water quality data of rivers and lakes, ecological data of rivers and lakes, and environmental data around rivers and lakes; A preprocessing module is used to preprocess the water quality data of rivers and lakes, the ecological data of rivers and lakes, and the environmental data around rivers and lakes to form a standardized data set; A construction module is used to initialize a particle swarm, where each particle in the particle swarm represents a potential final solution of the river and lake ecological environment assessment model, including a set of river and lake ecological environment assessment model parameters; initialize a group of particles, where each particle has two attributes, position and velocity, where the position represents a possible combination of river and lake ecological environment assessment model parameters, and the velocity is used to update the particle position; use the PSO algorithm to update the velocity and position of each particle, and after each iteration, evaluate the performance of each particle to obtain an evaluation value, iterate and optimize until the stop condition is met to obtain the final river and lake ecological environment assessment model parameters; use the final river and lake ecological environment assessment model parameters to construct a multi-dimensional river and lake ecological environment assessment model; The prediction module is used to conduct a multi-dimensional comprehensive assessment using the river and lake ecological environment assessment model to obtain the assessment results.

[0010] According to a third aspect, a computing device includes: one or more processors; The storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method described.

[0011] In a fourth aspect, a computer-readable storage medium stores a program, and when the program is executed by a processor, the method described is implemented.

[0012] The above solution of the present invention includes at least the following beneficial effects: By collecting water quality data, ecological data and surrounding environmental data of rivers and lakes, this method can comprehensively consider multiple aspects of the ecological environment of rivers and lakes, avoiding the problem of one-sided data in traditional evaluation methods. At the same time, the data is preprocessed to form a standardized data set to ensure the accuracy and comparability of the data. This method uses the particle swarm optimization (PSO) algorithm to optimize the parameters of the river and lake ecological environment assessment model, thereby constructing a multi-dimensional assessment model. This model can comprehensively consider multiple influencing factors and more accurately reflect the overall status of the river and lake ecological environment. Compared with traditional methods, this model has higher accuracy and stronger applicability. By iteratively optimizing the model parameters through the PSO algorithm, this method can quickly find the optimal combination of model parameters and improve the evaluation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a flow chart of a multi-dimensional comprehensive evaluation method of river and lake ecological environment provided by an embodiment of the present invention.

[0014] Figure 2 It is a schematic diagram of a multi-dimensional comprehensive evaluation system for river and lake ecological environment provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0015] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0016] like Figure 1 As shown, an embodiment of the present invention provides a multi-dimensional comprehensive evaluation method for river and lake ecological environment, the method comprising the following steps: Step 1: Collect water quality data of rivers and lakes, ecological data of rivers and lakes, and environmental data around rivers and lakes; water quality data of rivers and lakes include dissolved oxygen content, ammonia nitrogen content, total phosphorus content, and chemical oxygen demand; ecological data of rivers and lakes include aquatic biodiversity, vegetation coverage, and benthic animal population structure; environmental data around rivers and lakes include surrounding land use, pollution source distribution, and rainfall; Step 2: preprocess the water quality data of rivers and lakes, the ecological data of rivers and lakes, and the environmental data around rivers and lakes to form a standardized data set; Step 3, initialize the particle swarm, each particle in the particle swarm represents a potential final solution of the river and lake ecological environment assessment model, including the parameter set of the river and lake ecological environment assessment model; initialize a group of particles, each particle has two attributes of position and speed, the position represents a possible combination of the parameters of the river and lake ecological environment assessment model, and the speed is used to update the position of the particle; use the PSO algorithm to update the speed and position of each particle, and after each iteration, evaluate the performance of each particle to obtain the evaluation value, iterate and optimize until the stop condition is met to obtain the final parameters of the river and lake ecological environment assessment model; use the final parameters of the river and lake ecological environment assessment model to construct a multi-dimensional river and lake ecological environment assessment model; Step 4: Use the river and lake ecological environment assessment model to conduct a multi-dimensional comprehensive assessment and obtain the assessment results.

[0017] In an embodiment of the present invention, step 1, by collecting data including water quality, ecology and surrounding environment, provides a solid foundation for subsequent comprehensive evaluation. Specifically, the collection of dissolved oxygen content, ammonia nitrogen content, total phosphorus content and chemical oxygen demand helps to understand the water quality of rivers and lakes; data on aquatic biodiversity, vegetation coverage and benthic animal population structure reflect the ecological health of rivers and lakes; and information on surrounding land use, pollution source distribution and rainfall reveals the status of the surrounding environment of rivers and lakes. Step 2, the data preprocessing step ensures the standardization and consistency of the collected data and eliminates the differences between different data sources and formats. This step is crucial for subsequent data analysis and model building because it improves the comparability and accuracy of the data. The standardized data set provides clear and standardized input for the evaluation model, which helps to improve the reliability and effectiveness of the evaluation results. Step 3, by initializing the particle swarm and using the PSO algorithm for iterative optimization, this step achieves precise adjustment of the parameters of the river and lake ecological environment evaluation model. Each particle represents a potential model solution. Through the evaluation value, the particle position and speed are continuously optimized, and finally the best model parameter set is found. This method not only improves the accuracy and adaptability of the model, but also enables the model to more comprehensively consider multiple dimensions and factors of the river and lake ecological environment, thereby obtaining more accurate evaluation results. Step 4, using the optimized river and lake ecological environment assessment model to conduct a multi-dimensional comprehensive assessment, can comprehensively and objectively reflect the overall situation of the river and lake ecological environment. This step not only considers multiple aspects such as water quality, ecology and surrounding environment, but also obtains scientific and guiding evaluation results through comprehensive analysis of the model.

[0018] Step 1: Collect water quality data of rivers and lakes, ecological data of rivers and lakes, and environmental data around rivers and lakes. The specific implementation process is as follows: Water Quality Data Collection: Dissolved oxygen content is measured by sampling at different depths and locations in rivers and lakes. These instruments usually measure the concentration of dissolved oxygen in water through electrochemical or optical methods.

[0019] Ammonia nitrogen content: After collecting water samples, the ammonia nitrogen content in the water samples is determined in the laboratory using spectrophotometry or titration.

[0020] Total phosphorus content: collect water samples and determine the total phosphorus content in the water samples by chemical analysis methods (such as ammonium molybdate spectrophotometry).

[0021] Chemical oxygen demand is measured by collecting a water sample and using standard methods to determine the amount of chemical oxygen required to oxidize the organic matter in the water sample, which usually involves the use of a strong oxidizing agent such as potassium dichromate.

[0022] Ecological data collection: Aquatic biodiversity, by collecting water samples or using nets to capture aquatic organisms, and then identifying the species and counting the numbers to assess the diversity of aquatic organisms.

[0023] Vegetation coverage: Through field surveys, record the vegetation types, coverage areas, and growth conditions along the banks of rivers and lakes and in the waters. Remote sensing images or drones can be used for auxiliary observations.

[0024] Benthic animal population structure: collect benthic animal samples, observe and identify their species under a microscope, and count the number and distribution of different species to understand the population structure of benthic animals.

[0025] Surrounding environment data collection: Surrounding land use conditions: through geographic information system (GIS) or satellite remote sensing technology, obtain information on land use types around rivers and lakes, such as farmland, cities, industrial areas, etc.

[0026] Distribution of pollution sources: investigate and record potential pollution sources around rivers and lakes, such as factory discharge outlets, sewage treatment plants, agricultural discharges, etc., and understand their discharge conditions and impact range.

[0027] Precipitation: Use data provided by meteorological stations or relevant agencies to obtain rainfall information in areas where rivers and lakes are located in order to understand the impact of rainfall on the ecological environment of rivers and lakes.

[0028] Step 2: Preprocess the water quality data of rivers and lakes, the ecological data of rivers and lakes, and the environmental data around rivers and lakes to form a standardized data set. The specific implementation process is as follows: Data cleaning: Check the collected raw data, remove duplicate, erroneous or incomplete data records, and ensure the accuracy and completeness of the data.

[0029] Data conversion converts data from different sources and formats into a unified format and standard to facilitate subsequent data analysis and processing. For example, convert water quality indicators in different units into a unified unit, or convert text-described data into numerical data.

[0030] Data standardization is the process of standardizing data to eliminate the dimensional differences and numerical range differences between different indicators. Common standardization methods include Z-score standardization (converting data to a distribution with a mean of 0 and a standard deviation of 1) or minimum-maximum standardization (scaling data to a specified range, such as between 0 and 1).

[0031] Feature selection, based on the evaluation objectives and data characteristics, selects feature indicators that have a significant impact on the evaluation results. This can be achieved through methods such as correlation analysis and principal component analysis.

[0032] Dataset integration: Integrate the cleaned, converted and standardized water quality data, ecological data and surrounding environment data into a unified dataset for subsequent comprehensive evaluation and analysis. This dataset should contain all relevant indicators and corresponding observations or calculated values.

[0033] In another preferred embodiment of the present invention, the above step 3 may include: Define a particle structure that contains the particle positions (representing possible combinations of model parameters) and velocities (used to update positions); randomly initialize a group of particles within the defined parameter space, that is, randomly assign each particle an initial position and velocity. These initial values ​​can be completely random or initialized based on some prior knowledge or distribution. Determine the number of particles in the particle swarm, which is usually set based on the complexity of the problem and the availability of computing resources.

[0034] According to the goal of river and lake ecological environment assessment, one or more evaluation criteria are determined, such as the accuracy of the prediction results of the evaluation model, the complexity of the model, etc. Based on the above evaluation criteria, the performance of each particle (that is, each set of model parameters) is evaluated. This function usually accepts the position of the particle as input and returns a numerical value representing the performance of the particle.

[0035] Set necessary parameters for the PSO algorithm, such as inertia weight, acceleration coefficient, maximum number of iterations, etc. In each iteration, according to the update formula of the PSO algorithm, update the speed and position of each particle, which usually involves the information of the particle's current position, individual historical best position and group historical best position; after each update, evaluate the performance of each particle to obtain an evaluation value, and update the particle's individual historical best position and group historical best position according to the evaluation result.

[0036] Define the conditions for the algorithm to stop, such as reaching the maximum number of iterations, and repeat the above iterative update steps until the stopping conditions are met. When the stopping conditions are met, output the final river and lake ecological environment assessment model parameters, that is, the parameter combination corresponding to the historical best position of the group.

[0037] In an embodiment of the present invention, the performance of each particle is evaluated to obtain an evaluation value, including: obtaining the actual value and standard value of a single water quality indicator; determining the water quality indicator contribution value based on the actual value and standard value of the water quality indicator; obtaining the actual value and standard value of a single ecological indicator; determining the ecological indicator contribution value based on the actual value and standard value of the ecological indicator; obtaining the actual value and standard value of a single environmental indicator; determining the environmental indicator contribution value based on the actual value and standard value of the environmental indicator; and fusing the water quality indicator contribution value, the ecological indicator contribution value and the environmental indicator contribution value to obtain an evaluation value.

[0038] By obtaining the actual and standard values ​​of water quality, ecological and environmental indicators respectively, calculating their respective contribution values, and finally integrating them to obtain the evaluation values, we can comprehensively and systematically consider multiple important aspects of the ecological environment of rivers and lakes. Water quality indicators reflect the chemical and physical properties of water bodies, ecological indicators reflect the biodiversity and ecological balance of river and lake ecosystems, and environmental indicators cover external factors that affect the ecological environment around rivers and lakes. This multi-dimensional evaluation method avoids the one-sidedness of single indicator evaluation and can more accurately reflect the overall status of the ecological environment of rivers and lakes.

[0039] The integration of different types of indicator contribution values ​​can comprehensively reflect the health status of river and lake ecosystems. For example, even if the water quality indicators seem good, if there are problems with the ecological indicators or environmental indicators, the final evaluation value will be affected, thus reminding managers to pay attention to the potential risks that may exist in the river and lake ecosystems. The contribution value of each indicator is determined according to the actual value and the standard value, and the standardization between different indicators is achieved. Since different indicators may have different dimensions and value ranges, direct comparison and integration will lead to inaccurate results. Through standardization, the actual value of each indicator is converted into a ratio relative to the standard value, so that different indicators are comparable and can participate in the calculation of the evaluation value fairly. The standardized evaluation value is convenient for horizontal (between different rivers and lakes) and vertical (different time periods of the same river and lake). Managers can understand the advantages and disadvantages of the ecological environment of each river and lake by comparing the evaluation values ​​of different rivers and lakes; they can also evaluate the changing trend of the ecological environment of rivers and lakes by comparing the evaluation values ​​of the same river and lake in different time periods.

[0040] Calculating the contribution values ​​of water quality, ecological and environmental indicators separately can help accurately identify problems in the ecological environment of rivers and lakes. If the evaluation value is low, managers can analyze the contribution values ​​of each indicator to find out the indicators that have a greater impact on the evaluation value, thereby determining the root cause of the problem. For example, if the contribution value of water quality indicators is found to be low, further analysis can be performed on which specific water quality indicators (such as dissolved oxygen, ammonia nitrogen, etc.) have problems, so as to take targeted treatment measures.

[0041] In a preferred embodiment of the present invention, when applied specifically, the evaluation value The calculation formula can be:

[0042] in, It represents the parameter set of the river and lake ecological environment assessment model and the position of the particles; , and represents the weight coefficient; represents the actual value of the i-th water quality index; represents the standard value of the i-th water quality index; represents the weight of the i-th water quality index; n represents the total number of water quality indexes; represents the actual value of the jth ecological indicator; represents the standard value of the jth ecological indicator; represents the weight of the jth ecological indicator; m represents the total number of ecological indicators; represents the actual value of the kth environmental indicator; represents the standard value of the kth environmental indicator; represents the weight of the kth environmental indicator; represents the total number of environmental indicators; k represents the index value of the environmental indicator.

[0043] In the embodiment of the present invention, the function can comprehensively and comprehensively reflect the overall status of the ecological environment of rivers and lakes. By integrating indicators of different dimensions (such as water quality, ecology and surrounding environment), it provides a single quantitative value, which is convenient for decision makers and managers to quickly understand the comprehensive status of the ecological environment of rivers and lakes. , and , it can flexibly emphasize or weaken the indicators of a certain dimension according to actual needs or policy orientations. This flexibility enables the evaluation model to adapt to different scenarios and decision-making needs. By comparing the actual values ​​of each indicator with its corresponding standard value, the function realizes the standardization of the indicator. This makes different indicators comparable and facilitates comprehensive analysis and comparison across indicators and time. In the particle swarm optimization (PSO) algorithm, the evaluation value is the key to guiding the search direction of particles. By defining such a comprehensive evaluation value, the algorithm can more effectively find a set of model parameters that meet the ecological environment assessment objectives of rivers and lakes, thereby improving the accuracy of the evaluation model.

[0044] In a preferred embodiment of the present invention, the final river and lake ecological environment assessment model parameters are used to construct a multi-dimensional river and lake ecological environment assessment model, including: Determine the assessment indicators that reflect the ecological environment of rivers and lakes based on the assessment objectives and collected data, including water quality indicators, ecological indicators and environmental indicators; Determine the river and lake ecological environment assessment model based on the assessment indicators; river and lake ecological environment assessment model The calculation formula is: ; in, represents the actual value of the i-th water quality index; represents the standard value of the i-th water quality index; represents the weight of the i-th water quality index; Indicates the total number of water quality indicators; Indicates The actual value of each ecological indicator; Indicates Standard values ​​of ecological indicators; Indicates The weight of each ecological indicator; m represents the total number of ecological indicators; represents the actual value of the kth environmental indicator; represents the standard value of the kth environmental indicator; represents the weight of the kth environmental indicator; Indicates the total number of environmental indicators; , and Indicates the index value.

[0045] In an embodiment of the present invention, the model comprehensively considers the indicators of the three dimensions of water quality, ecology and environment, and can fully reflect the overall situation of the ecological environment of rivers and lakes. This comprehensive assessment helps to discover and solve potential environmental problems. By comparing the actual values ​​of various indicators with the standard values ​​and assigning corresponding weights, the model can quantify complex ecological and environmental problems into specific numerical values, which is convenient for data analysis and comparison. This quantitative analysis method makes the evaluation results more objective and accurate. The weight coefficients in the model and the weights of various indicators can be adjusted according to actual conditions. This flexibility enables the model to adapt to the evaluation needs of different regions and different time periods, and improves the applicability and practicality of the model. By regularly collecting data and applying the model for calculation, continuous monitoring and early warning of the ecological environment of rivers and lakes can be achieved. When the actual value of an indicator deviates from the standard value, the model can promptly discover and prompt managers to take corresponding measures, thereby preventing further deterioration of ecological and environmental problems.

[0046] Determine the specific objectives of the river and lake ecological environment assessment, such as assessing the overall ecological environment quality of rivers and lakes, identifying key environmental issues, or monitoring the long-term changes in the ecological environment; based on the assessment objectives, collect relevant water quality, ecological and environmental data, which can be derived from field monitoring, remote sensing data, historical records, government reports, etc., to ensure the accuracy and representativeness of the data.

[0047] Based on water quality monitoring data and assessment objectives, select key water quality indicators, such as dissolved oxygen, chemical oxygen demand (COD), total phosphorus, total nitrogen, etc.; select appropriate ecological indicators based on ecological factors such as the biodiversity of rivers and lakes, vegetation cover, benthic communities, etc.; consider the impact of the surrounding environment on the ecology of rivers and lakes, such as surrounding land use types, intensity of human activities, etc., and select corresponding environmental indicators.

[0048] Through statistical analysis methods, the weight of each indicator is determined. These weights reflect the importance of each indicator in the overall assessment. A standard value is set for each indicator, which is determined based on historical data. The given river and lake ecological environment assessment model formula is applied, and the actual indicator values, standard values ​​and weights are substituted to calculate the comprehensive assessment value E. Ensure that the collected data format is unified, handle missing values ​​and outliers, perform necessary unit conversions, etc. The pre-processed data is substituted into the assessment model for calculation to obtain the comprehensive assessment value E of the river and lake ecological environment. According to the size and distribution of the assessment value E, the overall situation of the river and lake ecological environment is analyzed, and key problem areas are identified.

[0049] Organize the collected water quality, ecological and environmental data to ensure the completeness and accuracy of the data, check whether there are missing or outliers in the data, and perform appropriate data interpolation or eliminate abnormal data if necessary; format the data according to the requirements of the evaluation model to facilitate subsequent calculations and analysis; substitute the organized water quality, ecological and environmental data into the river and lake ecological environment evaluation model, and for each indicator, calculate the ratio of its actual value to the standard value, use the determined weights to perform weighted summation on the ratio of each indicator, and calculate the weighted scores of the three dimensions of water quality, ecology and environment.

[0050] According to the model formula, the weighted scores of the three dimensions are multiplied by the corresponding coefficients and then summed to obtain the comprehensive evaluation value E of the river and lake ecological environment. The comprehensive evaluation value E is compared with the preset evaluation standards or historical data to judge the overall situation of the current river and lake ecological environment, analyze the scores of each dimension, and identify possible problem areas or indicators. For example, if a certain water quality indicator scores low, it may mean that the environmental problem corresponding to the indicator is more prominent. Combined with the actual situation, the evaluation results are interpreted and targeted improvement suggestions or measures are proposed.

[0051] like Figure 2 As shown, the embodiment of the present invention also provides a multi-dimensional comprehensive evaluation system for river and lake ecological environment, including: The acquisition module is used to collect water quality data of rivers and lakes, ecological data of rivers and lakes, and environmental data around rivers and lakes; A preprocessing module is used to preprocess the water quality data of rivers and lakes, the ecological data of rivers and lakes, and the environmental data around rivers and lakes to form a standardized data set; A construction module is used to initialize a particle swarm, where each particle in the particle swarm represents a potential final solution of the river and lake ecological environment assessment model, including a set of river and lake ecological environment assessment model parameters; initialize a group of particles, where each particle has two attributes, position and velocity, where the position represents a possible combination of river and lake ecological environment assessment model parameters, and the velocity is used to update the particle position; use the PSO algorithm to update the velocity and position of each particle, and after each iteration, evaluate the performance of each particle to obtain an evaluation value, iterate and optimize until the stop condition is met to obtain the final river and lake ecological environment assessment model parameters; use the final river and lake ecological environment assessment model parameters to construct a multi-dimensional river and lake ecological environment assessment model; The prediction module is used to conduct a multi-dimensional comprehensive assessment using the river and lake ecological environment assessment model to obtain the assessment results.

[0052] It should be noted that the system is a system corresponding to the above method, and all implementation methods in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0053] The embodiment of the present invention further provides a computing device, comprising: a processor, a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0054] The embodiment of the present invention also provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the method described above. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

Claims

1. A multi-dimensional comprehensive evaluation method for river and lake ecological environment, characterized in that: The method comprises: Step 1: Collect water quality data of rivers and lakes, ecological data of rivers and lakes, and environmental data around rivers and lakes; Step 2: preprocess the water quality data of rivers and lakes, the ecological data of rivers and lakes, and the environmental data around rivers and lakes to form a standardized data set; Step 3, initialize the particle swarm, each particle in the particle swarm represents a potential final solution of the river and lake ecological environment assessment model, including the parameter set of the river and lake ecological environment assessment model; initialize a group of particles, each particle has two attributes of position and speed, the position represents a possible combination of the parameters of the river and lake ecological environment assessment model, and the speed is used to update the position of the particle; use the PSO algorithm to update the speed and position of each particle, and evaluate the performance of each particle after each iteration to obtain the evaluation value, including: obtaining the actual value and standard value of a single water quality index; determining the water quality index contribution value based on the actual value and standard value of the water quality index; obtaining the actual value and standard value of a single ecological index; determining the ecological index contribution value based on the actual value and standard value of the ecological index; obtaining the actual value and standard value of a single environmental index; determining the environmental index contribution value based on the actual value and standard value of the environmental index; fusing the water quality index contribution value, the ecological index contribution value and the environmental index contribution value to obtain the evaluation value; iterative optimization until the stop condition is met to obtain the final parameters of the river and lake ecological environment assessment model; using the final river and lake ecological environment assessment model parameters to construct a multi-dimensional river and lake ecological environment assessment model; Step 4: Use the river and lake ecological environment assessment model to conduct a multi-dimensional comprehensive assessment and obtain the assessment results.

2. The multi-dimensional comprehensive evaluation method of river and lake ecological environment according to claim 1 is characterized in that: Water quality data of rivers and lakes include dissolved oxygen content, ammonia nitrogen content, total phosphorus content, and chemical oxygen demand; ecological data of rivers and lakes include aquatic biodiversity, vegetation coverage, and benthic animal population structure; environmental data around rivers and lakes include surrounding land use, distribution of pollution sources, and rainfall.

3. The multi-dimensional comprehensive evaluation method of river and lake ecological environment according to claim 2 is characterized in that: Using the final river and lake ecological environment assessment model parameters, a multi-dimensional river and lake ecological environment assessment model is constructed, including: Determine the assessment indicators that reflect the ecological environment of rivers and lakes based on the assessment objectives and collected data, including water quality indicators, ecological indicators and environmental indicators; Determine the river and lake ecological environment assessment model based on the assessment indicators.

4. The multi-dimensional comprehensive evaluation method of river and lake ecological environment according to claim 3 is characterized in that: River and Lake Ecological Environment Assessment Model The calculation formula is: ； in, represents the actual value of the i-th water quality index; represents the standard value of the i-th water quality index; represents the weight of the i-th water quality index; Indicates the total number of water quality indicators; Indicates The actual value of each ecological indicator; Indicates Standard values ​​of ecological indicators; Indicates The weight of each ecological indicator; m represents the total number of ecological indicators; represents the actual value of the kth environmental indicator; represents the standard value of the kth environmental indicator; represents the weight of the kth environmental indicator; Indicates the total number of environmental indicators; , and Indicates the index value.

5. A multi-dimensional comprehensive evaluation system for river and lake ecological environment, characterized in that: The system is used to perform the method according to any one of claims 1 to 4, comprising: The acquisition module is used to collect water quality data of rivers and lakes, ecological data of rivers and lakes, and environmental data around rivers and lakes; A preprocessing module is used to preprocess the water quality data of rivers and lakes, the ecological data of rivers and lakes, and the environmental data around rivers and lakes to form a standardized data set; A construction module is used to initialize a particle swarm, where each particle in the particle swarm represents a potential final solution of the river and lake ecological environment assessment model, including a set of river and lake ecological environment assessment model parameters; initialize a group of particles, where each particle has two attributes, position and velocity, where the position represents a possible combination of river and lake ecological environment assessment model parameters, and the velocity is used to update the particle position; use the PSO algorithm to update the velocity and position of each particle, and after each iteration, evaluate the performance of each particle to obtain an evaluation value, iterate and optimize until the stop condition is met to obtain the final river and lake ecological environment assessment model parameters; use the final river and lake ecological environment assessment model parameters to construct a multi-dimensional river and lake ecological environment assessment model; The prediction module is used to conduct a multi-dimensional comprehensive assessment using the river and lake ecological environment assessment model to obtain the assessment results.

6. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a program, which implements the method according to any one of claims 1 to 4 when executed by a processor.

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