Quantitative evaluation method, device and system for health profit and loss of rivers and lakes without weight assignment, and medium

Abstract

The invention provides a river and lake health profit and loss quantitative evaluation method, device and system without weight assignment and a medium, and the method comprises the steps: collecting multi-source data of an ecological function and a social service function, and converting the multi-source data into a unified currency unit; calculating an original profit-loss ratio based on the value of the two types of functional currencies; calculating a mean value by using a continuous multi-year ratio sequence, solving a conversion coefficient, and carrying out benchmark processing on an original ratio; health levels are divided by adopting a quantile method or a standard deviation method, and a level interval is automatically updated when data are newly added; and comparing the current and historical health levels and outputting a trend result. According to the method, dynamic self-adaptive evaluation and trend monitoring of the health state of the river and the lake are realized through economic value quantification and an unweighted historical ratio benchmark model, and the method is suitable for drainage basin management, ecological restoration evaluation and water resource decision support.

Description

Technical Field

[0001] This invention relates to the field of water environment and ecological assessment technology, specifically a method, device, system, and medium for quantitative evaluation of the health gains and losses of rivers and lakes without the need for weighted scoring. Background Technology

[0002] River and lake health assessment is a crucial foundation for watershed ecological protection and water resource management, playing a significant role in evaluating the effectiveness of ecological restoration and guiding water resource utilization. In recent years, various methods have been proposed and systems have been established both domestically and internationally. For example, patent CN201610921591 established a comprehensive evaluation method based on multi-index weighting, which can comprehensively reflect the ecological status of rivers and lakes to a certain extent; however, the weight allocation relies on expert experience and lacks objectivity and a dynamic adjustment mechanism. Patent CN202110008075 reduced subjectivity through the entropy weight method, but still requires manual weight setting, and the evaluation threshold is fixed, making it difficult to reflect the health changes of rivers and lakes at different times. Patent CN202410457185 utilized multi-source remote sensing imagery and machine learning models to achieve high-precision inversion of water quality and spatial morphology, improving the ability to characterize ecological status; however, the evaluation dimensions mainly focus on ecological functions, lacking a comprehensive measurement of social service functions, and failing to address the problem of inconsistent dimensions among different indicators.

[0003] Overall, existing methods suffer from three common bottlenecks: First, evaluation systems generally rely on weighted scoring, which, regardless of whether expert weighting or entropy weighting is used, introduces significant subjectivity. Second, it is difficult to unify the dimensions of ecological functions and social service functions, resulting in a lack of intuitiveness and comparability in the comprehensive results. Third, health level thresholds are mostly fixed standards, lacking the ability to dynamically adjust with the historical evolution of rivers and lakes. These shortcomings not only affect the objectivity of the results but also easily lead to misjudgments. For example, the low natural dissolved oxygen content in high-altitude canyon rivers is often mistakenly considered as having insufficient self-purification capacity; excessive heavy metal levels due to regional geological conditions are misjudged as water quality deterioration; and elevated nitrogen and phosphorus levels caused by waterbird gatherings are incorrectly interpreted as ecological degradation. All of these demonstrate that the rigid evaluation of traditional methods cannot reflect the true health status of rivers and lakes. Summary of the Invention

[0004] This invention addresses the common problems in existing river and lake health assessment methods. It proposes a quantitative assessment method, device, system, and medium for river and lake health gains and losses that eliminates the need for weighted scoring, unifies the monetization of ecological and social service functions, and achieves self-benchmarking based on the historical ratio distribution of rivers and lakes. This method avoids the subjectivity of weight setting, solves the problem of inconsistent dimensions among different indicators, and achieves adaptive trend judgment as rivers and lakes evolve through dynamic threshold division. Therefore, it can more realistically and sensitively reflect the health status of rivers and lakes and their long-term changes.

[0005] A quantitative evaluation method for the health gains and losses of rivers and lakes without the need for weighted scoring includes the following steps:

[0006] Multi-source data collection: collecting data on ecological functions and social service functions;

[0007] Monetization: Convert the ecological function data and social service function data into monetary units, and output the monetary value of ecological function and social service function in a unified dimension.

[0008] Ratio Calculation: The original profit-loss ratio is calculated based on the monetary value of ecological functions and the monetary value of social service functions.

[0009] Benchmarking: Calculate the mean using the raw profit and loss ratio series over several consecutive years, and obtain the conversion factor based on the mean. Use the conversion factor to benchmark all raw profit and loss ratios to obtain the benchmarked ratio.

[0010] Dynamic level classification: Based on the benchmark ratio, the health level is classified using the quantile method or the standard deviation method, and the level range is automatically updated when new data is added, and the health level results are output.

[0011] Trend Analysis: Compare the current health level with historical levels and output the trend judgment result.

[0012] Furthermore, the ecological function data includes water purification value, flood control and storage value, sediment interception value, carbon sink value, and biodiversity value, while the social service function data includes water supply service value, flood control and disaster reduction value, leisure tourism value, and cultural service value.

[0013] Furthermore, the water purification value is obtained by monitoring the amount of pollutant reduction and multiplying it by the corresponding wastewater treatment unit price. The pollutants include total nitrogen, total phosphorus, and chemical oxygen demand. The flood control and storage value is based on the direct economic losses avoided by calculating water level, flow rate, and flood models. The sediment interception value is determined by multiplying the amount of sediment reduction by the dredging market price or the nutrient value of farmland. The carbon sink value is calculated by combining the fixed carbon amount with the carbon market trading price. The biodiversity value is estimated based on species protection investment, ecological restoration costs, or the alternative value method.

[0014] Furthermore, the value of water supply services is obtained by multiplying the total water supply by the price of residential or industrial water; the value of flood control and disaster reduction is calculated based on the direct economic benefits brought about by flood mitigation; the value of leisure tourism is obtained by multiplying the total number of tourists by the per capita consumption, which includes tickets, accommodation, and catering; and the value of cultural services is quantified through the operational input and output of cultural sites and science education facilities.

[0015] Furthermore, the calculation of the original profit-loss ratio based on the monetary value of ecological functions and the monetary value of social service functions includes:

[0016] in, This is the original profit and loss ratio (dimensionless). The monetary value (in yuan) of ecological function. The monetary value (yuan) for social service functions, (t,x,y) represents a spatiotemporal unit, that is, an evaluation unit jointly determined by a specific time and spatial location, where t is a time index (dimensionless), x and y are spatial indices (dimensionless), corresponding to spatial positions, and the spatial positions include monitoring sections, raster pixels or administrative units;

[0017] Furthermore, the step of calculating the mean using a series of raw profit and loss ratios over several consecutive years, obtaining a conversion factor based on the mean, and then using the conversion factor to standardize all raw profit and loss ratios to obtain standardized ratios includes:

[0018] Calculate the mean using a historical ratio series of N consecutive years According to the mean Find the conversion factor Benchmark all original ratios:

[0019]

[0020] After benchmarking, the historical mean is mapped to 1, serving as the self-historical benchmark value for the health status of the river or lake.

[0022] Furthermore, the method of classifying health levels using quantiles specifically includes: based on the P10, P50, and P90 quantiles of the benchmark ratio being 0.90, 0.99, and 1.12 respectively, setting the health level as ≥1.12, the sub-health level as 0.90-1.12, and the risk level as <0.90.

[0023] A quantitative evaluation device for the health gains and losses of rivers and lakes without the need for weighted scoring includes:

[0024] The multi-source data acquisition module is used to collect ecological function data and social service function data;

[0025] The monetization processing module is used to convert the ecological function data and social service function data into monetary units and output the monetary value of ecological functions and social service functions in a unified dimension.

[0026] The ratio calculation module is used to calculate the original profit-loss ratio based on the monetary value of ecological functions and the monetary value of social service functions.

[0027] The benchmarking module is used to calculate the mean using the raw profit and loss ratio series over several consecutive years, and to obtain the conversion factor based on the mean. The conversion factor is then used to benchmark all the raw profit and loss ratios to obtain the benchmarked ratio.

[0028] The dynamic level classification module is used to classify health levels according to the benchmark ratio using the quantile method or the standard deviation method, and automatically update the level range when new data is added, and output the health level results.

[0029] The trend analysis module is used to compare the current health level with historical levels and output trend judgment results.

[0030] A quantitative evaluation system for the health gains and losses of rivers and lakes without the need for weighted scoring, comprising: a computer-readable storage medium and a processor;

[0031] The computer-readable storage medium is used to store executable instructions;

[0032] The processor is used to read executable instructions stored in the computer-readable storage medium and execute the quantitative evaluation method for the health loss and gain of rivers and lakes without weight assignment.

[0033] A non-transitory computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned method for quantitative evaluation of the health gains and losses of rivers and lakes without weight assignment.

[0034] This invention is based on the quantification of the economic value of the ecological and social service functions of rivers and lakes. By constructing a historical ratio benchmark model without weights, it realizes dynamic and adaptive evaluation and trend monitoring of the health status of rivers and lakes. It is applicable to watershed management, ecological restoration effectiveness assessment and water resource utilization decision support. Attached Figure Description

[0035] Figure 1 This is a flowchart illustrating a quantitative evaluation method for the health gains and losses of rivers and lakes that does not require weighting, according to the present invention. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] Please see Figure 1The first aspect of this invention provides a quantitative evaluation method for the health gains and losses of rivers and lakes without the need for weighted scoring. This method unifies ecological functions and social service functions into economic values ​​(monetary units), calculates their gain-loss ratios, and performs self-benchmarking based on multi-year historical data, normalizing the historical mean to 1 as a reference point for health evaluation. With the continuous input of new data, the system automatically updates the benchmark value and level range, achieving dynamic, adaptive evaluation and trend monitoring of the health status of rivers and lakes. The method includes the following steps:

[0038] Step 1: Multi-source data collection: Collect ecological function data and social service function data.

[0039] In terms of ecological functions, the data collected includes, but is not limited to, water purification value, flood control and storage value, sediment retention value, carbon sequestration value, and biodiversity value. Specifically, water purification value can be obtained by monitoring the reduction of pollutants such as total nitrogen, total phosphorus, and chemical oxygen demand and multiplying this by the corresponding wastewater treatment unit price; flood control and storage value can be calculated based on water level, flow rate, and flood models to determine the direct economic losses avoided; sediment retention value can be determined by multiplying the sediment reduction by the dredging market price or the nutrient value of farmland; carbon sequestration value can be calculated by combining fixed carbon emissions with carbon market trading prices; and biodiversity value can be estimated based on species conservation investment, ecological restoration costs, or alternative value methods. Other indicators that conform to the ecological function characteristics of rivers and lakes can also be included in the calculation using the same monetization method.

[0040] Regarding social service functions, the data collected includes, but is not limited to, the value of water supply services, flood control and disaster reduction, leisure tourism, and cultural services. The value of water supply services can be obtained by multiplying the total water supply by the price of residential or industrial water; the value of flood control and disaster reduction can be calculated based on the direct economic benefits brought about by flood mitigation; the value of leisure tourism can be obtained by multiplying the total number of tourists by the per capita consumption (including entrance fees, accommodation, and catering); and the value of cultural services can be quantified through the operational inputs and outputs of cultural sites and science education facilities. Other indicators that conform to the characteristics of river and lake social service functions can also be included in the calculation using the same monetization method.

[0041] Step 2, Monetization: Convert the ecological function data and social service function data into monetary units, and output the monetary value of ecological function and social service function in a unified dimension.

[0042] The ecological function data and social service function data can be derived from remote sensing image inversion, online monitoring platforms, departmental statistical data, field surveys and market price databases, and uniformly converted into monetary units (such as yuan or ten thousand yuan). At the same time, they are coded according to a unified time scale (year, quarter, month) and spatial scale (administrative region or watershed unit) to construct a structured spatiotemporal database.

[0043] Step 3: Ratio Calculation: Calculate the original profit-loss ratio based on the monetary value of ecological functions and the monetary value of social service functions.

[0044] After completing the dimensionless processing, the original profit / loss ratio of each spatiotemporal unit (t,x,y) is directly calculated. The formula is:

[0045]

[0046] in, This is the original profit and loss ratio (dimensionless). The monetary value (in yuan) of ecological function. The monetary value (in yuan) of social service functions is given, where t is the time index (dimensionless), and x and y are the spatial indices (dimensionless). This ratio does not require any weighting and directly reflects the economic proportion between ecological functions and social service functions, avoiding the subjectivity introduced by weighting in traditional methods.

[0047] Step 4: Benchmarking: Calculate the mean using the original profit and loss ratio series over several consecutive years, and obtain the conversion factor based on the mean. Use the conversion factor to benchmark all the original profit and loss ratios to obtain the benchmarked ratios.

[0048] To achieve self-historical benchmarking, this invention calculates the mean using a series of raw profit and loss ratios over N consecutive years (e.g., 5 to 10 years). And based on this, the conversion coefficients are obtained. Then, all the original ratios are benchmarked:

[0049]

[0050] After benchmarking, the historical mean is mapped to 1, serving as the self-historical benchmark value for the health status of the river or lake.

[0051] Step 5: Dynamic Level Classification: Based on the benchmark ratio, the health level is classified using the quantile method or the standard deviation method, and the level range is automatically updated when new data is added, and the health level results are output.

[0052] Regarding health level classification, this invention can employ either the quantile method or the standard deviation method. The quantile method calculates the P10, P50, and P90 quantiles of the benchmark ratio to classify health status into healthy, sub-healthy, and risk levels. The standard deviation method uses the mean of 1 as the center and determines the level intervals within the ranges of ±1σ and ±2σ. To ensure the dynamic adaptability of the evaluation results, this invention automatically updates the historical mean whenever a complete monitoring cycle of data is added. The threshold is adaptively adjusted according to the changes in the state of the river and lake, and the level range is defined.

[0053] Step Six: Trend Analysis: Compare the current health level with historical levels and output the trend judgment results.

[0054] This invention processes newly entered monitoring data through monetization, ratio calculation, and benchmarking according to the aforementioned procedure. The results are then compared to the current health threshold to output the corresponding health level. Simultaneously, by comparing the calculation results from the previous period, a trend of health status change (improvement, stagnation, or deterioration) is generated and presented in the form of charts or reports. Ultimately, the evaluation results may include a time-series curve of the benchmarked profit-loss ratio, a health level distribution map (based on GIS visualization), and trend diagnosis and risk warning reports. This invention can be directly embedded into watershed management and monitoring platforms, providing a scientific basis for ecological restoration effectiveness assessment, policy adjustment, and water resource allocation.

[0055] Taking Lake A as an example, the method of this invention is verified using ecological function and social service function data from 2018 to 2022. Since Lake A is a single body of water with a fixed spatial extent, this embodiment only considers changes in the time dimension, ignoring the spatial index (x, y), i.e., time-series calculations are performed on different years t. Firstly, in the data collection and monetization stage, three types of indicators were selected for calculation regarding ecological function: water purification value, flood control and storage value, and carbon sequestration value.

[0056] In calculating the value of water purification, the monitored reductions were 120 tons of total nitrogen (TN), 15 tons of total phosphorus (TP), and 220 tons of chemical oxygen demand (COD). The corresponding wastewater treatment unit prices were 20,000 yuan, 80,000 yuan, and 10,000 yuan per ton, respectively. Therefore, the economic value of total nitrogen reduction is... The economic value of total phosphorus reduction The economic value of COD reduction is The total value of water purification, when all three are added together, is: .

[0057] In calculating the value of flood control and water storage, based on flow monitoring and flood risk models, it was estimated that the lake could reduce direct economic losses by 3 million yuan during the flood season. This value was directly used as the monetary value of flood control and water storage.

[0058] In calculating the value of carbon sinks, the carbon sequestration of the lake area and its wetlands is estimated at 2000 tons of carbon (TC) using vegetation remote sensing. The prevailing carbon market trading price is 0.15 million yuan per ton of carbon. Therefore, the value of the carbon sink is... .

[0059] Adding the values ​​of the three types of ecological functions together, we obtain the total ecological function value for 2018. for .

[0060] In terms of social service functions, three categories of indicators were selected for calculation: water supply service value, leisure tourism value, and cultural service value. The water supply service value was calculated by multiplying the total water supply of 10 million cubic meters by the residential water price of 0.0002 yuan / cubic meter, resulting in 20 million yuan. The leisure tourism value was calculated by multiplying the annual tourist volume of 100,000 visits by the per capita consumption of 0.01 yuan, resulting in 10 million yuan. The cultural service value, based on statistical data, indicates that the annual operating output of cultural relics and science popularization facilities is approximately 1 million yuan.

[0061] Adding the values ​​of the three types of social service functions mentioned above, we obtain the total value of social service functions in 2018. for .

[0062] After standardizing the units, calculate the original profit and loss ratio for 2018:

[0063]

[0064] Using the same calculation approach, the values ​​of ecological functions and social service functions from 2019 to 2022 were monetized and their ratios were calculated, resulting in the results shown in Table 1:

[0065] Table 1

[0066]

[0067] To achieve self-historical benchmarking, the five-year historical average ratio is first calculated:

[0068]

[0069] Then calculate the conversion factor:

[0070]

[0071] Multiplying this coefficient by the original ratio for each year yields the benchmarked ratios, as shown in Table 2:

[0072] Table 2

[0073]

[0074] In the classification of health levels, the quantile method is adopted. Based on the P10, P50, and P90 quantiles of the benchmark ratio, which are 0.90, 0.99, and 1.12 respectively, a health level is set as ≥1.12, a sub-health level as 0.90-1.12, and a risk level as <0.90. According to this classification, 2018 and 2020 are classified as risk level, 2019 and 2022 as sub-health level, and 2021 as healthy level.

[0075] In dynamic evaluation and trend analysis, it is assumed that the ecological function value is calculated using new monitoring data from 2023. The social service function value is 13.5 million yuan. The amount is 30 million yuan, and the original ratio is After standardization, the following was obtained: The lake's health status is classified as sub-healthy. Compared to 0.992 in 2022, the lake's health status shows an improving trend.

[0076] This invention has the following characteristics:

[0077] 1. No weighting mechanism: No subjective weighting is assigned during the evaluation process, avoiding human intervention and resulting in more objective results.

[0078] 2. Functional monetization with unified dimensions: Transforming all ecological and social service functions into economic value, enabling direct comparison and intuitive explanation between different dimensions.

[0079] 3. Historical benchmarking and dynamic thresholds: Based on the historical ratio distribution of rivers and lakes over many years, normalization and classification are performed, and the thresholds are automatically adjusted as the data is updated, which can sensitively reflect the changing trend of the health status of rivers and lakes.

[0080] Through the above technical solution, this invention not only eliminates the subjectivity of weight setting and solves the problem of inconsistent dimensions of different indicators, but also overcomes the limitations of rigid thresholds in traditional evaluation methods. It can comprehensively and dynamically reveal the real changes in the health status of rivers and lakes, and provide a scientific basis for watershed management, ecological restoration effectiveness assessment and water resource utilization decision-making.

[0081] Another aspect of the present invention provides a quantitative evaluation device for the health gains and losses of rivers and lakes without the need for weighted scoring, comprising:

[0082] The multi-source data acquisition module is used to collect ecological function data and social service function data;

[0083] The monetization processing module is used to convert the ecological function data and social service function data into monetary units and output the monetary value of ecological functions and social service functions in a unified dimension.

[0084] The ratio calculation module is used to calculate the original profit-loss ratio based on the monetary value of ecological functions and the monetary value of social service functions.

[0085] The benchmarking module is used to calculate the mean using the raw profit and loss ratio series over several consecutive years, and to obtain the conversion factor based on the mean. The conversion factor is then used to benchmark all the raw profit and loss ratios to obtain the benchmarked ratio.

[0086] The dynamic level classification module is used to classify health levels according to the benchmark ratio using the quantile method or the standard deviation method, and automatically update the level range when new data is added, and output the health level results.

[0087] The trend analysis module compares the current health level with historical levels and outputs trend judgment results.

[0088] Another aspect of the present invention provides a quantitative evaluation system for the health gains and losses of rivers and lakes without the need for weighted scoring, comprising: a computer-readable storage medium and a processor;

[0089] The computer-readable storage medium is used to store executable instructions;

[0090] The processor is used to read executable instructions stored in the computer-readable storage medium and execute the quantitative evaluation method for the health loss and gain of rivers and lakes without weight assignment as described in the first aspect.

[0091] In another aspect, the present invention provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the quantitative evaluation method for the health loss and gain of rivers and lakes without weight assignment as described in the first aspect.

[0092] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0093] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0094] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0095] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0096] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A river and lake health loss and gain quantitative evaluation method without weight assignment, characterized in that, The method comprises the following steps: Multi-source data collection: collecting ecological function data and social service function data; Monetization processing: converting the ecological function data and the social service function data into monetary units, and outputting the monetary value of the ecological function and the monetary value of the social service function in a unified dimension; Ratio calculation: calculating the original profit and loss ratio based on the monetary value of the ecological function and the monetary value of the social service function; Benchmarking processing: calculating the mean value from a sequence of original profit and loss ratios in consecutive years, and calculating a conversion coefficient according to the mean value, and performing benchmarking processing on all original profit and loss ratios by using the conversion coefficient to obtain a benchmarked ratio; Dynamic grade division: dividing the health grade according to the benchmarked ratio by using the quantile method or the standard deviation method, and automatically updating the grade interval when new data is added, and outputting the health grade result; Trend analysis: comparing the current health grade with the historical health grade, and outputting the trend judgment result.

2. The method for quantitatively evaluating the health loss and gain of rivers and lakes without weight assignment according to claim 1, characterized in that: The ecological function data includes water purification value, flood control and storage value, sediment interception value, carbon sink value and biodiversity value, and the social service function data includes water supply service value, flood control and disaster reduction value, leisure tourism value and cultural service value.

3. The method for quantitatively evaluating the health loss and gain of rivers and lakes without weight assignment according to claim 2, characterized in that: The water purification value is obtained by monitoring the pollutant reduction amount and multiplying the corresponding sewage treatment unit price, and the pollutants include total nitrogen, total phosphorus and chemical oxygen demand; the flood control and storage value is calculated based on the water level, flow and flood model to avoid direct economic losses; the sediment interception value is determined by multiplying the sediment reduction amount by the dredging market price or the farmland nutrient value; the carbon sink value is calculated by combining the fixed carbon amount with the carbon market transaction price; and the biodiversity value is estimated based on the species protection investment, ecological restoration cost or alternative value method.

4. The method for quantitatively evaluating the health loss and gain of rivers and lakes without weight assignment according to claim 2, characterized in that: The water supply service value is obtained by multiplying the total water supply amount by the resident or industrial water price; the flood control and disaster reduction value is calculated based on the direct economic benefits brought by flood release; the leisure tourism value is obtained by multiplying the total number of tourists by the per capita consumption amount, and the per capita consumption amount includes ticket, accommodation and catering; and the cultural service value is quantified by the operation investment and output of cultural sites and science popularization education facilities.

5. The method for quantitatively evaluating the health loss and gain of rivers and lakes without weight assignment according to claim 1, characterized in that: The ecological function-based currency value and the social service function-based currency value calculate a raw profit and loss ratio, including: ; wherein, is the original profit and loss ratio (dimensionless), is the monetary value of ecological function (yuan), is the monetary value of social service function (yuan), (t, x, y) represents a space-time unit, that is, an evaluation unit jointly determined by a specific time and space position, wherein t is a time index (dimensionless), x and y are space indices (dimensionless), corresponding to a space position, and the space position includes a monitoring section, a grid pixel, or an administrative unit.

6. The method for quantitatively evaluating the health loss and gain of rivers and lakes without weight assignment according to claim 5, characterized in that: The use of a sequence of original profit and loss ratios in consecutive years to calculate the mean value, and the calculation of a conversion coefficient according to the mean value, and the benchmarking processing of all original profit and loss ratios by using the conversion coefficient to obtain a benchmarked ratio, comprises: The mean value is calculated using the historical ratio series for N consecutive years The conversion factor is determined from the mean value All original ratios are normalized​ ； After benchmarking, the historical mean value is mapped to 1 as the self historical benchmark value of the health state of the river and lake. The health grade is divided by using the quantile method, specifically comprising: according to the P10, P50 and P90 quantile numbers of the benchmarked ratio, which are 0.90, 0.99 and 1.12 respectively, the health grade is set to be greater than or equal to 1.12, the sub-health grade is 0.90-1.12, and the risk grade is less than 0.

90.

7. The method for quantitatively evaluating the health loss and gain of rivers and lakes without weight assignment according to claim 1, characterized in that: It comprises:

8. A device for quantitatively evaluating the health loss and gain of rivers and lakes without weight assignment, characterized in that, A multi-source data collection module for collecting ecological function data and social service function data; A monetization processing module for converting the ecological function data and the social service function data into monetary units, and outputting the monetary value of the ecological function and the monetary value of the social service function in a unified dimension; A ratio calculation module for calculating the original profit and loss ratio based on the monetary value of the ecological function and the monetary value of the social service function; ​ The benchmarking processing module is configured to calculate a mean value by using a sequence of original profit and loss ratios of consecutive years, and to obtain a conversion coefficient according to the mean value, and to perform benchmarking processing on all original profit and loss ratios by using the conversion coefficient to obtain benchmarked ratios; The dynamic grade dividing module is configured to divide health grades by using a quantile method or a standard deviation method according to the benchmarked ratios, and to automatically update grade intervals when new data is added, and to output health grade results; The trend analysis module is configured to compare current and historical health grades, and to output a trend judgment result.

9. A river and lake health loss and gain quantitative evaluation system without weight assignment, characterized in that, The method comprises: a computer readable storage medium and a processor; the computer readable storage medium is configured to store executable instructions; the processor is configured to read the executable instructions stored in the computer readable storage medium, and to execute the weight-free scoring river and lake health profit and loss quantitative evaluation method according to any one of claims 1-7.

10. A non-transitory computer-readable storage medium, comprising: The computer program is stored on the computer readable storage medium and is executed by the processor to implement the weight-free scoring river and lake health profit and loss quantitative evaluation method according to any one of claims 1-7.

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