A method and system for evaluating the value of water conservancy ecological products

Abstract

This invention discloses a method and system for assessing the value of water conservancy ecological products, belonging to the field of ecological assessment technology. The method includes the following steps: generating spatial data of the ecological impact boundary of water conservancy projects; generating differentiated assessment index system data; executing localized parameter matching and supplementation logic to generate a multi-dimensional index monitoring dataset; acquiring physical quantity benchmark data of non-physical ecological services, and converting the physical quantity benchmark data into ecological product value data; extracting data on the newly added ecological contributions of water conservancy projects corresponding to human intervention; and generating quantitative index data for cross-regional horizontal ecological compensation. This invention, by generating spatial data of the ecological impact boundary of water conservancy projects and extracting data on the newly added ecological contributions of human intervention, solves the problems of ambiguous boundaries of non-physical ecological services of water conservancy projects and lack of accounting basis for upstream and downstream compensation standards in existing technologies.

Description

Technical Field

[0001] This invention relates to the field of ecological assessment technology, and in particular to a method and system for assessing the value of water conservancy ecological products. Background Technology

[0002] With the advancement of integrated watershed management, realization of ecological product value, and the construction of ecological compensation mechanisms, the ecological regulation function of water conservancy projects, in addition to flood control, water supply, and power generation, is receiving increasing attention. Current assessments of the value of water conservancy ecological products mainly employ the universal framework for calculating Gross Ecosystem Product (GEP), which involves defining the assessment scope based on administrative divisions or natural watershed boundaries, and uniformly selecting four service indicators—supply, regulation, support, and culture—for both physical quantity statistics and value conversion.

[0003] However, in practical applications, this method suffers from the following prominent problems when directly applied to water conservancy projects: When assessing a reservoir primarily for flood control, the lack of core functional labels leads to blurred boundaries of intangible ecosystem services. Implicit contributions such as water purification and climate regulation cannot be separately identified from the total value, leaving decision-makers with only a general total figure and making it difficult to determine the actual ecological benefits brought about by the engineering measures. Furthermore, in upstream-downstream negotiations for horizontal compensation, the inability to separate natural background benefits from the benefits of artificial intervention by the engineering means that upstream protection parties cannot provide evidence of the specific value of clean water and flood peak reduction enjoyed downstream. Compensation standards have long relied on administrative negotiations rather than quantitative criteria, resulting in repeated back-and-forth negotiations and a tendency to reach deadlocks. Moreover, these deadlocks lead to upstream regions gradually losing their incentive to maintain ecological flow due to the lack of reasonable returns on their protection investments. In some river sections, water quality has even rebounded due to the lack of compensation, threatening the long-term safety of the entire basin. Summary of the Invention

[0004] This application provides a method and system for evaluating the value of water conservancy ecological products. It solves the problems in the prior art where the boundaries of non-physical ecological contributions of water conservancy projects are unclear and the benefits of engineering measures and natural background are difficult to separate, resulting in a lack of quantitative basis for cross-regional compensation standards. It realizes the accurate identification and monetization of the ecological value added by artificial intervention in engineering projects, and provides a calculable decision-making benchmark for horizontal compensation between upstream and downstream areas.

[0005] This application provides a method for evaluating the value of water conservancy ecological products, including: acquiring basic data of water conservancy projects and watershed spatial environment data, and generating boundary spatial data of the ecological impact of water conservancy projects;

[0006] Based on the aforementioned ecological impact boundary space data and the core function tags of water conservancy projects, a differentiated assessment index system data is generated;

[0007] For the missing data in the differentiated evaluation index system data, localized parameter matching and supplementation logic is executed to generate a multi-dimensional index monitoring dataset;

[0008] Based on the multidimensional indicator monitoring dataset, obtain the physical quantity benchmark data of non-physical ecological services, and transform the physical quantity benchmark data into ecological product value data.

[0009] The ecological product value data are dimensionally integrated to extract the new ecological contribution data corresponding to the artificial intervention of water conservancy projects.

[0010] Based on the newly added ecological contribution data of the project and the spatial topological relationship between the upstream and downstream of the watershed, quantitative index data for cross-regional horizontal ecological compensation are generated.

[0011] Furthermore, the steps for generating boundary spatial data of the ecological impact of water conservancy projects include:

[0012] Collect design documents and operation records of water conservancy projects, extract dam scale data and flood control scheduling parameters, and simultaneously acquire geographic remote sensing image data and land cover classification data.

[0013] Establish a multi-level spatial coordinate system to mark the physical areas of artificial structures where dams and dikes are located, and use the land cover classification data to delineate natural water body areas.

[0014] Calculate the hydrodynamic barrier range and inundation buffer zone of the artificial structure area to the natural water body area, and determine the extreme value impact range of the engineering entity intervention.

[0015] The extreme value range is spatially cross-compared with the administrative division boundary line to generate spatial data of water conservancy and ecological impact boundaries.

[0016] Further steps in generating data for the differentiated evaluation indicator system include:

[0017] The land vegetation area and water evaporation area covered by the boundary spatial data of water conservancy ecological impact are analyzed, the corresponding natural ecological support function classification system is matched, the engineering-led scheduling task category in the pre-configured document is extracted, and the engineering-led scheduling task category is converted into water conservancy project core function tags.

[0018] Traverse the preset full ecological assessment index library, assign initial weight values ​​to various indicators according to the core function tags of the water conservancy project, remove mismatched cultural and recreational indicators with initial weight values ​​lower than the judgment threshold, and retain regulation service indicators related to flood control scheduling and water quality purification.

[0019] Based on the proportion of water evaporation area and land vegetation area, the retained service indicators are hierarchically divided and combined to form a differentiated evaluation indicator system data.

[0020] Furthermore, the steps for generating a multidimensional indicator monitoring dataset include:

[0021] The data of the differentiated evaluation index system includes the underlying data requirements of each index. Historical hydrological and water quality monitoring logs and ecological monitoring station archives are retrieved. The missing data items are extracted by comparing the required fields with the measured fields. The sampling spatial coordinates and time series intervals corresponding to the missing data items are obtained.

[0022] Collect background parameters of similar water conservancy projects that match the sampling spatial coordinates in terms of climate characteristics and landform types, and generate localized primary productivity parameters and localized species abundance parameters;

[0023] The localized primary productivity parameters and localized species abundance parameters are filled into the positions corresponding to the missing data items to construct a multi-time-dimensional hydrological and ecological element matrix, and the output is a multi-dimensional indicator monitoring dataset.

[0024] Further steps for obtaining physical quantity benchmark data for non-physical ecosystem services include:

[0025] Extract the dynamic change sequence of flood control reservoir capacity, the upstream and downstream pollutant concentration gradient sequence, and the meteorological monitoring feature sequence from the multidimensional index monitoring dataset, and classify and encapsulate the data.

[0026] For the flood storage indicators corresponding to the regulation dimensions, the dynamic change sequence of the flood control reservoir capacity is read, and the actual storage volume data is calculated. For the water quality purification indicators, a pollution degradation conversion rule is established, and the actual pollution load reduction volume data is obtained.

[0027] Based on the climate regulation indicators, physical data of regulating heat are obtained. The physical data of heat storage, pollution load reduction, and regulating heat are combined to generate physical baseline data.

[0028] Furthermore, the steps to transform physical quantity benchmark data into ecological product value data include:

[0029] Identify the data attribute categories of each sub-item of the physical quantity benchmark data, call the pre-configured environmental economics transformation rule library, and extract the unit price of the construction of a dedicated reservoir with the same flood storage capacity and the daily maintenance cost rate of the reservoir from the regional construction cost library;

[0030] Extract the average unit price of chemical oxygen demand removal and the average unit price of ammonia nitrogen removal from the wastewater treatment plants in the region, obtain the average price of artificial refrigeration power consumption of the regional power grid during the same period, and configure them as the benchmark parameters for replacement costs;

[0031] The data on the actual volume of water stored is combined with the unit price of the dedicated reservoir construction and the daily maintenance cost rate of the reservoir to generate flood control and water storage value data, water purification value data, and climate regulation value data.

[0032] Data on the value of ecological products is compiled and generated.

[0033] Furthermore, the steps for extracting data on the increased ecological contribution of water conservancy projects corresponding to artificial intervention include:

[0034] Acquire historical geomorphological image data and raw runoff data before the construction of water conservancy projects, and calculate the benchmark value of natural water system ecological succession under the state of no artificial dam intervention.

[0035] The ecological product value data is smoothed according to the time series to generate the current total ecological product value data, and a difference comparison logic is constructed to obtain the system value increment data set.

[0036] The value increment data set of the system is removed by removing the value increment caused by natural fluctuations due to abnormally abundant precipitation, and the value increment directly driven by flood control reservoir scheduling and ecological flow release operations is retained. The newly added ecological contribution data of the project is then transmitted to the allocation and accounting stage.

[0037] Furthermore, the steps for generating quantitative indicators of cross-regional ecological compensation include:

[0038] Obtain annual operation and maintenance cost data and industry restriction opportunity cost data from upstream regions to calculate the total investment in upstream ecological protection;

[0039] Read the percentage of free use, adjust the corresponding weight of the percentage of free use, and generate a corrected cross-regional compensation responsibility sharing coefficient;

[0040] The newly added ecological contribution data of the project is mapped to the horizontal compensation calculation logic to calculate the base amount of compensation to be borne by the downstream benefiting administrative nodes. The base amount of compensation to be borne by all downstream nodes is summarized and output as cross-regional horizontal ecological compensation quantitative indicator data.

[0041] This application provides a water conservancy ecological product value assessment system, used to implement a water conservancy ecological product value assessment method, including:

[0042] Data acquisition module, system data generation module, dataset generation module, data transformation module, dimension fusion module, indicator data generation module;

[0043] The data acquisition module is used to acquire basic data of water conservancy projects and watershed spatial environment data, and generate boundary spatial data of the ecological impact of water conservancy projects.

[0044] The system data generation module is used to generate differentiated evaluation index system data based on the ecological impact boundary space data and the core function tags of water conservancy projects.

[0045] The dataset generation module is used to perform localized parameter matching and supplementation logic for missing data in the differentiated evaluation indicator system data, and generate a multi-dimensional indicator monitoring dataset.

[0046] The data conversion module is used to obtain physical quantity benchmark data of non-physical ecological services based on the multi-dimensional indicator monitoring dataset, and convert the physical quantity benchmark data into ecological product value data.

[0047] The dimensional fusion module is used to perform dimensional fusion on the ecological product value data and extract the newly added ecological contribution data corresponding to the artificial intervention of water conservancy projects.

[0048] The indicator data generation module is used to generate cross-regional horizontal ecological compensation quantitative indicator data based on the newly added ecological contribution data of the project and the spatial topological relationship between the upstream and downstream of the watershed.

[0049] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0050] By defining the boundaries of ecological impacts and matching them with engineering function labels to form a differentiated indicator system, the intangible ecological contributions such as flood control and water purification can be presented in a direct and quantifiable way, avoiding long-term neglect due to their invisible value.

[0051] Furthermore, when data is missing, localized parameter supplementation logic is introduced to ensure the continuity and universality of the measurement work, provide a stable data foundation for the coordination of watershed interests, separate the ecological contribution added by engineering human intervention from the total value, distinguish between natural background benefits and engineering measures benefits, and provide an objective accounting basis for upstream and downstream horizontal compensation negotiations.

[0052] Furthermore, by combining upstream and downstream spatial relationships to generate cross-regional compensation quantitative indicators, clarifying compensation responsibilities and verification bases, and promoting the establishment of a compensation mechanism with clear rights and responsibilities, we can ensure that upstream protection investments receive reasonable returns, stimulate long-term management and protection motivation, and prevent watershed ecological degradation. Attached Figure Description

[0053] Figure 1 A flowchart of a method for evaluating the value of water conservancy ecological products provided in this application embodiment;

[0054] Figure 2 This is a schematic diagram of the structure of a water conservancy ecological product value assessment system provided in an embodiment of this application. Detailed Implementation

[0055] This application provides a method and system for evaluating the value of water conservancy ecological products. It solves the problems in the prior art where the boundaries of non-physical ecological contributions of water conservancy projects are vague and the benefits of engineering measures and natural background are difficult to separate, resulting in a lack of quantitative basis for cross-regional compensation standards. By generating spatial data of the ecological impact boundaries of water conservancy projects and extracting data on the newly added ecological contributions of projects, it realizes the accurate calculation of the benefits of engineering interventions such as flood control and water purification and the quantitative output of horizontal compensation indicators.

[0056] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0057] like Figure 1 The diagram shown is a flowchart of a water conservancy ecological product value assessment method provided in an embodiment of this application. The method is applied to a water conservancy ecological product value assessment system and includes the following steps: acquiring basic data of water conservancy projects and watershed spatial environment data; based on the distribution attributes of artificial structures in the target area, distinguishing between the natural attributes of water bodies and the engineering intervention attributes; and generating water conservancy project-specific ecological impact boundary space data.

[0058] Based on the ecological impact boundary space data and the core function tags of water conservancy projects, target objects are selected from the preset full-scale ecological assessment index library to generate differentiated assessment index system data.

[0059] For the missing data in the differentiated evaluation index system data, localized parameter matching and supplementation logic is executed to generate a multi-dimensional index monitoring dataset;

[0060] Based on the multidimensional indicator monitoring dataset, the physical quantity of each indicator is calculated independently to obtain the physical quantity benchmark data of non-physical ecological services. The substitution cost mapping logic is used to transform the physical quantity benchmark data into ecological product value data.

[0061] The ecological product value data is dimensionally integrated, the basic evolution value of the natural environment is stripped away, and the data on the newly added ecological contribution of water conservancy projects corresponding to artificial intervention is extracted.

[0062] Based on the newly added ecological contribution data of the project and the spatial topological relationship between the upstream and downstream of the watershed, the proportion of free use of upstream non-physical ecological services by the downstream beneficiary areas is calculated, and cross-regional horizontal ecological compensation quantitative index data is generated.

[0063] In this embodiment, the basic operational records of the target water conservancy project and spatial remote sensing data of the watershed are first acquired through a preset data interface. Through spatial overlay analysis, the "ecological impact boundary spatial data" affected by human intervention is precisely extracted from the vast natural watershed. Subsequently, instead of blindly applying all evaluation indicators, the indicator library is dynamically tailored based on the project's core functional labels (such as flood control or water supply), forming a differentiated evaluation system. To address missing data due to insufficient monitoring stations, localized parameter matching logic is triggered to complete the data, thereby forming a multi-dimensional indicator monitoring dataset.

[0064] Next, at the pure data level, different accounting modules are invoked to calculate the physical quantities of various non-physical ecological services (such as water storage and purification). Using a pre-configured environmental economics transformation matrix, these physical quantities are mapped to value data. To highlight the true contribution of water conservancy projects, comparative analysis is used to eliminate the fundamental evolutionary value of the natural environment itself, extracting the true "new ecological contribution data from the projects." Finally, the three-dimensional topological relationship between the upstream and downstream of the watershed is introduced to quantify the ecological benefit attenuation during water flow transmission, deriving the proportion of downstream free use. This generates a set of scientific and reliable cross-regional horizontal ecological compensation quantitative indicators, providing direct data support for the distribution of watershed benefits.

[0065] Furthermore, the steps for generating boundary spatial data of the ecological impact of water conservancy projects include:

[0066] The design documents and operation records of the water conservancy project were collected, the scale data of the dam and the flood control scheduling parameters were extracted, and the geographic remote sensing image data and land cover classification data covering the target water conservancy project and its upstream and downstream connected water systems were acquired simultaneously.

[0067] A multi-level spatial coordinate system is established, and the dam scale data and flood control scheduling parameters are projected onto the geographic remote sensing image data to mark the artificial structure physical area where the dam and embankment are located. The natural water body area consisting of the reservoir water surface and the downstream river channel is delineated using the land cover classification data.

[0068] Calculate the hydrodynamic barrier range and inundation buffer zone of the artificial structure area to the natural water body area, and determine the extreme value impact range of the engineering entity intervention.

[0069] By spatially comparing the extreme value range with the administrative division boundary line, spatial data of water conservancy ecological impact boundary that integrates water conservancy project intervention characteristics and natural watershed composite characteristics is generated.

[0070] In this embodiment, specific ecological impact boundary space data for water conservancy projects are generated. The specific execution steps include:

[0071] First, a text parsing script is used to extract dam scale data, such as dam elevation and dam axis length, as well as flood control scheduling parameters, such as flood limit water level and flood control high water level, from the electronic design documents (such as CAD drawings or BIM models) of the water conservancy project. Simultaneously, by calling public geographic information interfaces (such as the open-source QGIS adapter interface), high-precision geographic remote sensing imagery data and land cover classification data (Raster format) covering the water system are retrieved.

[0072] Under a unified multi-level spatial coordinate system such as WGS84, the dam scale data is converted into vector surface features and projected onto the image data to form a "man-made structure entity area" layer. Subsequently, based on the digital elevation model (DEM) and flood control high water level parameters, connectivity analysis algorithms are used to calculate the maximum inundation buffer zone for water flow to spread to the surrounding land when the water level reaches its extreme value; at the same time, the range of natural hydrodynamic obstruction by the dam is calculated. The spatial polygons of these extreme value impact ranges are then subjected to spatial intersection topological operations with the administrative division boundary lines issued by the civil affairs department, thereby cropping out "water conservancy ecological impact boundary spatial data" that integrates engineering intervention and natural watershed characteristics.

[0073] Further steps in generating data for the differentiated evaluation indicator system include:

[0074] The land vegetation area and water evaporation area covered by the boundary spatial data of water conservancy ecological impact are analyzed, the corresponding natural ecological support function classification system is matched, the engineering-led scheduling task category in the pre-configured document is extracted, and the engineering-led scheduling task category is converted into water conservancy project core function tags.

[0075] Traverse the preset full-scale ecological assessment index library containing supply regulation support cultural services, assign initial weight values ​​to various indicators according to the core function tags of the water conservancy project, remove mismatched cultural and recreational indicators with initial weight values ​​lower than the judgment threshold, and retain regulation service indicators related to flood control scheduling and water quality purification.

[0076] Based on the proportion of water evaporation area and land vegetation area, the retained service indicators are hierarchically divided and combined to form a differentiated assessment indicator system data focusing on flood control and disaster reduction and water conservation. This differentiated assessment indicator system data is then sent to the subsequent data supplementation stage.

[0077] In this embodiment, the specific implementation steps for indicator selection and differentiation system generation are as follows:

[0078] Based on the generated ecological impact boundary space data, a pixel statistical algorithm is used to classify and accumulate the total pixel area of ​​terrestrial vegetation (such as forest land and grassland) and the total pixel area of ​​water bodies. A pre-configured engineering scheduling specification XML document is read, and leading tasks such as "flood control scheduling priority" or "ecological base flow guarantee" are extracted and automatically converted into structured "core function tags for water conservancy projects".

[0079] When traversing the entire ecological assessment indicator database, weights are assigned based on labels. For example, if the label is "flood control scheduling," the initial weight value for flood storage indicators is assigned to 1.0, while irrelevant cultural and recreational indicators (such as yacht tourism) are assigned a weight of 0.1. A judgment threshold (such as 0.3) is set, and indicators below this threshold are directly dropped from the current assessment queue. Simultaneously, considering the ratio of water area to land area, if the water area accounts for more than 60%, the priority of water quality purification and climate regulation is further increased. This generates a differentiated assessment indicator system data that highly focuses on the characteristics of current projects, avoiding waste of computational resources and interference from invalid indicators.

[0080] Furthermore, the steps for generating a multidimensional indicator monitoring dataset include:

[0081] The data of the differentiated evaluation index system includes the underlying data requirements of each index. Historical hydrological and water quality monitoring logs and ecological monitoring station archives are retrieved. The missing data items are extracted by comparing the required fields with the measured fields. The sampling spatial coordinates and time series intervals corresponding to the missing data items are obtained.

[0082] Background parameters of similar water conservancy projects that match the sampling spatial coordinates in terms of climate characteristics and landform type are collected. The background parameters of similar water conservancy projects are spatially downscaled using the distance inverse weighted calculation rule to generate localized primary productivity parameters and localized species abundance parameters.

[0083] The localized primary productivity parameters and localized species abundance parameters are filled into the positions corresponding to the missing data items. The continuous test data of historical hydrological and water quality monitoring logs are integrated to construct a multi-time-dimensional hydrological and ecological element matrix, and the output is a multi-dimensional indicator monitoring dataset.

[0084] In this embodiment, when comparison reveals that a certain spatiotemporal node lacks data on "phytoplankton primary productivity" or "species abundance," the latitude and longitude coordinates and timestamp of that node are extracted. Known background parameters of several reference reservoirs with similar landform types (e.g., all hilly reservoirs) and similar climatic characteristics are selected from provincial or national databases of similar reservoirs.

[0085] Subsequently, the Inverse Distance Weighting (IDW) algorithm is invoked for calculation. Specifically, it estimates the unknown parameters for the missing nodes. The calculation formula is as follows:

[0086] ;

[0087] in, The number of similar reference reservoirs that were successfully matched. For the first Measured background parameter values ​​for a reference reservoir For missing data nodes and the first The spherical spatial distance between the reference reservoirs (unit can be km). This is the power exponent of distance decay, with a default value of 2.

[0088] This allows us to utilize limited high-confidence data from the surrounding area to generate localized parameter values, fill in the gaps in the corresponding matrix, and form a multi-dimensional indicator monitoring dataset without breaks.

[0089] Further steps for obtaining physical quantity benchmark data for non-physical ecosystem services include:

[0090] Extract the dynamic change sequence of flood control reservoir capacity, the upstream and downstream pollutant concentration gradient sequence, and the meteorological monitoring feature sequence from the multidimensional index monitoring dataset, and classify and encapsulate the data according to the supply dimension, regulation dimension, and support dimension.

[0091] For the flood storage index corresponding to the regulation dimension, the dynamic change sequence of the flood control reservoir capacity is read, and the integral volume of the water level difference and the inundated area is calculated to obtain the storage volume data. For the water quality purification index, the pollutant concentration gradient sequence and water flow velocity data are input, and the pollution degradation conversion rule is established to obtain the pollution load reduction volume data.

[0092] For climate regulation indicators, the energy consumption of water surface evaporation is calculated using the meteorological monitoring characteristic sequence to obtain the physical quantity data of regulating heat. The physical quantity data of water storage, pollution load reduction, and regulating heat are combined to generate the physical quantity benchmark data of non-physical ecosystem services.

[0093] In this embodiment, based on the complete dataset, multi-threaded physical quantity calculation is performed, as follows:

[0094] For flood storage and regulation indicators, the water level sequence and the "water level-area" relationship curve derived from the topography are read from the multi-dimensional indicator monitoring dataset. The actual volume of stored water is also considered. (Unit: cubic meters) The calculation uses the calculus area method:

[0095] ;

[0096] in, This is the flood control water level elevation. This represents the actual highest flood control water level. Water level The corresponding water surface area function is automatically calculated through numerical integration (such as the trapezoidal rule).

[0097] For water quality purification indicators, the average concentration of pollutants (such as ammonia nitrogen) at the upstream inflow section is obtained. and the average concentration at the downstream outlet section (Unit: mg / L), and the total flow rate through the gate during that period. (Unit: cubic meters), actual amount of pollution load reduction (Unit: tons) The calculation logic is as follows:

[0098] ;

[0099] For climate regulation indicators, the physical quantity of regulating heat is calculated by directly multiplying the daily average water surface evaporation rate provided by meteorological stations with the latent heat of vaporization of water and the dynamic water area. After all dimensional data have been calculated, they are uniformly packaged into a standard format physical quantity benchmark data.

[0100] Furthermore, the steps to transform physical quantity benchmark data into ecological product value data include:

[0101] Identify the data attribute categories of each sub-item of the physical quantity benchmark data, call the pre-configured environmental economics transformation rule library, and extract the unit price of the construction of a dedicated reservoir with the same flood storage capacity and the daily maintenance cost rate of the reservoir from the regional construction cost library;

[0102] Extract the average unit price of chemical oxygen demand removal and the average unit price of ammonia nitrogen removal from the wastewater treatment plants in the region, obtain the average price of artificial refrigeration power consumption of the regional power grid during the same period, and configure them as the benchmark parameters for replacement costs;

[0103] The flood control and storage value data is generated by multiplying the actual storage volume data with the construction unit price of the dedicated reservoir and the daily maintenance cost rate of the reservoir. The water purification value data is generated by matching and multiplying the actual pollution load reduction volume data with the average unit price of various removal methods. The climate regulation value data is generated by converting the actual heat regulation volume data into electricity and multiplying it by the average price of artificial refrigeration electricity.

[0104] Data on the value of ecological products is compiled and generated.

[0105] In this embodiment, an "environmental economics transformation rule base" is pre-built in the relational database. For the calculated flood control and water storage volume data, the shadow project method is automatically applied. The unit storage capacity cost of recently constructed single-function flood control reservoirs in the same region (e.g., (Unit: Yuan / cubic meter) and annual depreciation and maintenance rate The calculation logic for flood control and water storage value data is as follows: physical quantity benchmark data. .

[0106] For the water purification value, the unit prices for chemical oxygen demand (COD) and ammonia nitrogen treatment published by the local price bureau or sewage treatment plant are obtained through API interfaces or periodic web crawling. The physical quantities of pollution reduction for each type are multiplied by their corresponding unit prices and then summed. For the climate regulation value, it is converted into the equivalent electricity consumption (kWh) required for air conditioning and multiplied by the average local industrial grid electricity price (yuan / kWh) to generate climate regulation value data. All sub-item values ​​are summarized into the total value of ecological products through a simple summation module.

[0107] Furthermore, the steps for extracting data on the increased ecological contribution of water conservancy projects corresponding to artificial intervention include:

[0108] Historical geomorphological image data and raw runoff data before the construction of water conservancy projects are obtained. Based on the pre-calculation steps and the conversion rule library, the baseline value of the ecological succession of natural water systems under the state of no artificial dam intervention is calculated.

[0109] The ecological product value data is smoothed according to the time series to generate the current ecological product total value data. A difference comparison logic is constructed, and the current ecological product total value data is subtracted from the natural water system ecological succession benchmark value to obtain the system value increment data set.

[0110] The value increment data set of the system is removed by removing the value increment caused by natural fluctuations due to abnormally abundant precipitation, and the value increment directly driven by flood control reservoir scheduling and ecological flow release operations is retained. The newly added ecological contribution data of the project is then transmitted to the allocation and accounting stage.

[0111] In this embodiment, historical geological and hydrological records from several consecutive years prior to the construction of the water conservancy project's dam are read, and the algorithm logic of the aforementioned embodiment is used to calculate a "benchmark value of natural water system ecological succession" without artificial dam intervention.

[0112] To avoid misattributing sudden increases in value due to abnormal years (such as years with exceptionally heavy rainfall) to engineering contributions, a time-series moving average smoothing process is applied to the total value data of current ecological products. Subsequently, the baseline value is subtracted from the smoothed total value. Next, a rainfall deviation correction factor is introduced; if current rainfall exceeds the historical average, the passive added value resulting from excess rainfall is proportionally removed, ensuring that the final extracted "new ecological contribution data from the project" is entirely generated by the project's proactive flood control scheduling and ecological water replenishment operations.

[0113] Furthermore, the steps for generating quantitative indicators of cross-regional ecological compensation include:

[0114] Obtain data on annual operation and maintenance costs and opportunity costs of industrial restrictions in the upstream region to maintain the operation of water conservancy projects and protect the upstream water quality environment, and add the two data to calculate the total investment in upstream ecological protection;

[0115] Read the percentage of free use, and adjust the corresponding weight of the percentage of free use according to the population size base and regional economic development level index of different downstream benefiting administrative nodes to generate a corrected cross-regional compensation responsibility sharing coefficient.

[0116] The newly added ecological contribution data of the project is mapped to the horizontal compensation calculation logic. Combined with the total investment in upstream ecological protection and the cross-regional compensation responsibility sharing coefficient, the base amount of compensation to be determined for downstream benefiting administrative nodes is calculated. The base amount of compensation to be determined for all downstream nodes is then summarized and output as cross-regional horizontal ecological compensation quantitative indicator data.

[0117] In this embodiment, a three-dimensional water system network is reconstructed using DEM elevation data, and hydraulic parameters such as flow velocity and riverbed slope are extracted. The actual physical transport distance from the upstream reservoir dam node to a downstream water-receiving administrative node (such as a section of a prefecture-level city) is calculated. and mean hydraulic residence time .

[0118] The non-physical ecosystem services (especially water purification and ecological baseflow) are assumed to exhibit exponential decay during transport in natural river channels. The actual ecological input retained upon reaching downstream nodes is considered. The calculation formula is:

[0119] ;

[0120] in, The initial values ​​for the new ecological contribution data sub-items from upstream engineering output. It is a natural constant. This is a natural attenuation coefficient set based on riverbed sediment and self-purification capacity. After calculating the actual retention of each item, it is divided by the total upstream output to obtain the "percentage of free use" of upstream non-physical ecosystem services by the downstream area.

[0121] like Figure 2 The diagram shown is a structural schematic of a water conservancy ecological product value assessment system provided in an embodiment of this application. The water conservancy ecological product value assessment system provided in an embodiment of this application includes: a data acquisition module, a system data generation module, a dataset generation module, a data transformation module, a dimension fusion module, and an indicator data generation module.

[0122] The data acquisition module is used to acquire basic data of water conservancy projects and watershed spatial environment data, and generate boundary spatial data of the ecological impact of water conservancy projects.

[0123] The system data generation module is used to generate differentiated evaluation index system data based on the ecological impact boundary space data and the core function tags of water conservancy projects.

[0124] The dataset generation module is used to perform localized parameter matching and supplementation logic for missing data in the differentiated evaluation indicator system data, and generate a multi-dimensional indicator monitoring dataset.

[0125] The data conversion module is used to obtain physical quantity benchmark data of non-physical ecological services based on the multi-dimensional indicator monitoring dataset, and convert the physical quantity benchmark data into ecological product value data.

[0126] The dimensional fusion module is used to perform dimensional fusion on the ecological product value data and extract the newly added ecological contribution data corresponding to the artificial intervention of water conservancy projects.

[0127] The indicator data generation module is used to generate cross-regional horizontal ecological compensation quantitative indicator data based on the newly added ecological contribution data of the project and the spatial topological relationship between the upstream and downstream of the watershed.

[0128] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0129] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0130] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0131] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0132] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0133] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for evaluating the value of water conservancy ecological products, characterized in that, Includes the following steps: Acquire basic data on water conservancy projects and watershed spatial environment data to generate ecological impact boundary spatial data; Based on the aforementioned ecological impact boundary space data and the core function tags of water conservancy projects, a differentiated assessment index system data is generated; The steps for generating data for a differentiated evaluation index system include: The land vegetation area and water evaporation area covered by the boundary spatial data of water conservancy ecological impact are analyzed, the corresponding natural ecological support function classification system is matched, the engineering-led scheduling task category in the pre-configured document is extracted, and the engineering-led scheduling task category is converted into water conservancy project core function tags. Traverse the preset full ecological assessment index library, assign initial weight values ​​to various indicators according to the core function tags of the water conservancy project, remove mismatched cultural and recreational indicators with initial weight values ​​lower than the judgment threshold, and retain regulation service indicators related to flood control scheduling and water quality purification. Based on the proportion of water evaporation area and land vegetation area, the various service indicators to be retained are hierarchically divided and combined to form a differentiated evaluation indicator system data. For the missing data in the differentiated evaluation index system data, localized parameter matching and supplementation logic is executed to generate a multi-dimensional index monitoring dataset; Based on the multidimensional indicator monitoring dataset, obtain the physical quantity benchmark data of non-physical ecological services, and transform the physical quantity benchmark data into ecological product value data. The ecological product value data is dimensionally integrated to extract the new ecological contribution data corresponding to the artificial intervention of water conservancy projects. The steps for extracting data on the increased ecological contribution of water conservancy projects corresponding to human intervention include: Acquire historical geomorphological image data and raw runoff data before the construction of water conservancy projects, and calculate the benchmark value of natural water system ecological succession under the state of no artificial dam intervention. The ecological product value data is smoothed according to the time series to generate the current total ecological product value data, and a difference comparison logic is constructed to obtain the system value increment data set. The value increment data set of the system is removed from the value increment portion caused by natural fluctuations due to abnormally abundant precipitation, and the value increment portion directly driven by flood control reservoir capacity scheduling and ecological flow release operations is retained. The newly added ecological contribution data of the project is then transmitted to the allocation and accounting stage. Based on the newly added ecological contribution data of the project and the spatial topological relationship between the upstream and downstream of the watershed, quantitative index data for cross-regional horizontal ecological compensation are generated.

2. The method for evaluating the value of water conservancy ecological products as described in claim 1, characterized in that, The steps for generating ecological impact boundary space data include: Collect design documents and operation records of water conservancy projects, extract dam scale data and flood control scheduling parameters, and simultaneously acquire geographic remote sensing image data and land cover classification data. Establish a multi-level spatial coordinate system to mark the physical areas of artificial structures where dams and dikes are located, and use the land cover classification data to delineate natural water body areas. Calculate the hydrodynamic barrier range and inundation buffer zone of the artificial structure to the natural water body area, and determine the extreme value impact range of the engineering entity intervention. The extreme value range is spatially cross-compared with the administrative division boundary line to generate spatial data of water conservancy and ecological impact boundaries.

3. The method for evaluating the value of water conservancy ecological products as described in claim 1, characterized in that, The steps to generate a multidimensional indicator monitoring dataset include: The data of the differentiated evaluation index system includes the underlying data requirements of each index. Historical hydrological and water quality monitoring logs and ecological monitoring station archives are retrieved. The missing data items are extracted by comparing the required fields with the measured fields. The sampling spatial coordinates and time series intervals corresponding to the missing data items are obtained. Collect background parameters of similar water conservancy projects that match the sampling spatial coordinates in terms of climate characteristics and landform types, and generate localized primary productivity parameters and localized species abundance parameters; The localized primary productivity parameters and localized species abundance parameters are filled into the positions corresponding to the missing data items to construct a multi-time-dimensional hydrological and ecological element matrix, and the output is a multi-dimensional indicator monitoring dataset.

4. The method for evaluating the value of water conservancy ecological products as described in claim 1, characterized in that, The steps to obtain physical quantity benchmark data for non-physical ecosystem services include: Extract the dynamic change sequence of flood control reservoir capacity, the upstream and downstream pollutant concentration gradient sequence, and the meteorological monitoring feature sequence from the multidimensional index monitoring dataset, and classify and encapsulate the data. For the flood storage indicators corresponding to the regulation dimensions, the dynamic change sequence of the flood control reservoir capacity is read, and the actual storage volume data is calculated. For the water quality purification indicators, a pollution degradation conversion rule is established, and the actual pollution load reduction volume data is obtained. Based on the climate regulation indicators, physical data of regulating heat are obtained. The physical data of heat storage, pollution load reduction, and regulating heat are combined to generate physical baseline data.

5. The method for evaluating the value of water conservancy ecological products as described in claim 4, characterized in that, The steps to transform physical quantity benchmark data into ecological product value data include: Identify the data attribute categories of each sub-item of the physical quantity benchmark data, call the pre-configured environmental economics transformation rule library, and extract the unit price of the construction of a dedicated reservoir with the same flood storage capacity and the daily maintenance cost rate of the reservoir from the regional construction cost library; Extract the average unit price of chemical oxygen demand removal and the average unit price of ammonia nitrogen removal from the wastewater treatment plants in the region, obtain the average price of artificial refrigeration power consumption of the regional power grid during the same period, and configure them as the benchmark parameters for replacement costs; The data on the actual volume of water stored is combined with the unit price of the dedicated reservoir construction and the daily maintenance cost rate of the reservoir to generate flood control and water storage value data, water purification value data, and climate regulation value data. Data on the value of ecological products is compiled and generated.

6. The method for evaluating the value of water conservancy ecological products as described in claim 1, characterized in that, The steps for generating quantitative indicators of cross-regional ecological compensation include: Obtain annual operation and maintenance cost data and industry restriction opportunity cost data from upstream regions to calculate the total investment in upstream ecological protection; Read the percentage of free use, adjust the corresponding weight of the percentage of free use, and generate a corrected cross-regional compensation responsibility sharing coefficient. The newly added ecological contribution data of the project is mapped to the horizontal compensation calculation logic to calculate the base amount of compensation to be borne by the downstream benefiting administrative nodes. The base amount of compensation to be borne by all downstream nodes is summarized and output as cross-regional horizontal ecological compensation quantitative indicator data.

7. A water conservancy ecological product value assessment system, used to implement the water conservancy ecological product value assessment method according to any one of claims 1-6, characterized in that, include: Data acquisition module, system data generation module, dataset generation module, data transformation module, dimension fusion module, indicator data generation module; The data acquisition module is used to acquire basic data of water conservancy projects and watershed spatial environment data, and generate ecological impact boundary spatial data. The system data generation module is used to generate differentiated evaluation index system data based on the ecological impact boundary space data and the core function tags of water conservancy projects. The dataset generation module is used to perform localized parameter matching and supplementation logic for missing data in the differentiated evaluation indicator system data, and generate a multi-dimensional indicator monitoring dataset. The data conversion module is used to obtain physical quantity benchmark data of non-physical ecological services based on the multi-dimensional indicator monitoring dataset, and convert the physical quantity benchmark data into ecological product value data. The dimensional fusion module is used to perform dimensional fusion on the ecological product value data and extract the newly added ecological contribution data corresponding to the artificial intervention of water conservancy projects. The indicator data generation module is used to generate cross-regional horizontal ecological compensation quantitative indicator data based on the newly added ecological contribution data of the project and the spatial topological relationship between the upstream and downstream of the watershed.

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