Method, device, equipment, medium and product for determining water conservation efficiency

Abstract

This application discloses a method, apparatus, equipment, medium, and product for determining water conservation efficiency, relating to the field of hydrological technology. The method includes acquiring hydrological elements of the area to be determined, including precipitation, actual evapotranspiration, surface runoff, and groundwater runoff; determining the water conservation depth based on a preset water balance formula and the hydrological elements, wherein the water conservation depth is the annual conservation depth obtained by summing the daily conservation depths; acquiring the historical conservation depth of the area to be determined; and determining the water conservation efficiency based on the water conservation depth and the historical conservation depth. This application solves the problem in the prior art of lacking a unified evaluation benchmark and being unable to make horizontal and vertical comparisons of water conservation capacity.

Description

Technical Field

[0001] This application relates to the field of hydrological technology, and in particular to a method, apparatus, equipment, medium and product for determining water source conservation efficiency. Background Technology

[0002] Water conservation capacity is a core indicator for measuring the ecological water storage and conservation capacity of a watershed and for carrying out water resource planning and ecological protection and restoration. Traditional water conservation capacity measurements only output absolute values ​​such as depth and volume, which are greatly affected by interannual climate fluctuations and differences in the underlying surface of the watershed. They lack a standardized benchmark system, making it difficult to conduct horizontal and vertical scientific comparisons between different years and different spatial units. This makes it difficult to accurately assess the true level of change in water conservation capacity and fails to provide a precise, reliable, and comparable quantitative basis for watershed ecological management, water resource allocation, and ecological compensation grading.

[0003] In summary, the current technology for evaluating water conservation capacity suffers from the lack of a unified evaluation benchmark and the inability to make horizontal and vertical comparisons. Summary of the Invention

[0004] The purpose of this application is to provide a method, apparatus, equipment, medium and product for determining water conservation efficiency, which can solve the problems in the prior art of lacking a unified evaluation benchmark and being unable to make horizontal and vertical comparisons of water conservation efficiency.

[0005] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a method for determining water conservation efficiency, including: Obtain hydrological data for the area to be determined, including precipitation, actual evapotranspiration, surface runoff, and groundwater runoff. The water conservation depth is determined based on the preset water balance formula and hydrological elements. The water conservation depth is the annual conservation depth obtained by summing the daily conservation depths. To determine the historical depth of the area to be identified; The water conservation efficiency is determined based on the water source conservation depth and historical conservation depth.

[0006] Optionally, hydrological elements of the area to be determined can be obtained, specifically including: reading the precipitation, actual evapotranspiration, surface runoff and groundwater runoff of the area to be determined output by the hydrological model through a preset data interface.

[0007] Optionally, the hydrological elements of the area to be determined are obtained, specifically including: obtaining the original observation data of the area to be determined from meteorological and hydrological stations; and determining the hydrological elements based on the original observation data and preset hydrological formulas.

[0008] Optionally, the water conservation efficiency can be determined based on the water source conservation depth and historical conservation depth, specifically including: determining the cumulative conservation depth based on the water source conservation depth and historical conservation depth; and determining the water source conservation efficiency based on the cumulative conservation depth and historical conservation depth.

[0009] Optionally, after determining the water conservation efficiency based on the water conservation depth and historical water conservation depth, the process further includes: obtaining the historical annual efficiency over many years; determining the maximum and minimum efficiency values ​​from the historical annual efficiency over many years; normalizing the historical annual efficiency and water conservation efficiency over many years based on the maximum and minimum efficiency values ​​to obtain the normalized efficiency; and determining the water conservation efficiency rating based on the normalized efficiency.

[0010] Optionally, the water conservation efficiency rating can be determined based on the normalized efficiency, specifically including: determining the efficiency score based on the normalized efficiency; and determining the water conservation efficiency rating based on the efficiency score and the preset grading threshold.

[0011] Secondly, this application provides a device for determining water conservation efficiency, comprising: The first acquisition module is used to acquire hydrological elements of the area to be determined, including precipitation, actual evapotranspiration, surface runoff, and groundwater runoff. The first determination module is used to determine the water conservation depth based on a preset water balance formula and hydrological elements, wherein the water conservation depth is the annual conservation depth obtained by summing the daily conservation depths. The second acquisition module is used to acquire the historical conservation depth of the area to be determined. The second determination module is used to determine the water conservation efficiency based on the water conservation depth and the historical conservation depth.

[0012] Optionally, the first acquisition module is also used to: read the precipitation, actual evapotranspiration, surface runoff and groundwater runoff of the area to be determined from the hydrological model output through a preset data interface.

[0013] Optionally, the first acquisition module is also used to: acquire raw observation data of the area to be determined from meteorological and hydrological stations; and determine hydrological elements based on the raw observation data and preset hydrological formulas.

[0014] Optionally, the second determining module is further configured to: determine the cumulative water conservation depth based on the water source conservation depth and the historical water conservation depth; and determine the water source conservation efficiency based on the cumulative water conservation depth and the historical water conservation depth.

[0015] Optionally, the second determining module is further configured to: obtain historical annual efficiency over many years; determine the maximum and minimum efficiency values ​​from the historical annual efficiency over many years; normalize the historical annual efficiency and water conservation efficiency over many years based on the maximum and minimum efficiency values ​​to obtain normalized efficiency; and determine the water conservation efficiency rating based on the normalized efficiency.

[0016] Optionally, the second determining module is also used to: determine an efficiency score based on normalized efficiency; and determine a water conservation efficiency rating based on the efficiency score and a preset grading threshold.

[0017] Thirdly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for determining water conservation efficiency as described in any one of the first aspects above.

[0018] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for determining water conservation efficiency as described in any one of the first aspects.

[0019] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the water conservation efficiency determination method described in any one of the first aspects. According to specific embodiments provided in this application, the following technical effects are disclosed: This application provides a method, apparatus, equipment, medium, and product for determining water conservation efficiency. The method acquires hydrological elements such as regional precipitation, actual evapotranspiration, surface runoff, and groundwater runoff. Based on a preset water balance formula, it accurately calculates the daily water conservation depth and accumulates it to obtain the annual conservation depth, which can objectively restore the actual water conservation baseline level of the region. Then, it introduces the historical conservation depth of the region to be determined as a unified benchmark reference, and calculates the water conservation efficiency by correlating the current annual conservation depth with the historical conservation depth. This can transform the absolute conservation amount, which is affected by climate fluctuations and watershed baseline conditions, into a dimensionless relative evaluation index, so that the water conservation capacity of different time periods and different spatial units has a quantifiable, benchmarkable, and comparable evaluation standard, which greatly improves the objectivity, universality, and comparability of water conservation evaluation, thereby solving the problem that the evaluation of water conservation in the prior art lacks a unified evaluation benchmark and cannot be compared horizontally and vertically. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is an application environment diagram of a method for determining water conservation efficiency in one embodiment of this application; Figure 2A flowchart illustrating a method for determining water conservation efficiency according to an embodiment of this application; Figure 3 A flowchart illustrating a method for determining water conservation efficiency according to an embodiment of this application; Figure 4 A structural example diagram of a water conservation efficiency determination device provided in an embodiment of this application; Figure 5 This is a schematic diagram of a water conservation efficiency determination device provided in an embodiment of this application; Figure 6 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0022] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0023] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0024] The method for determining water conservation efficiency provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be set up independently, integrated into server 104, or placed in the cloud or on another server. Terminal 102 can send hydrological elements of the area to be determined to server 104. After receiving the hydrological elements, server 104 determines the water conservation depth based on a preset water balance formula and the hydrological elements, where the water conservation depth is the annual conservation depth obtained by accumulating the daily conservation depths; it also obtains the historical conservation depth of the area to be determined; and it determines the water conservation efficiency based on the water conservation depth and the historical conservation depth. Server 104 can feed back the obtained water conservation efficiency to terminal 102. Furthermore, in some embodiments, the water conservation efficiency determination method can also be implemented independently by server 104 or terminal 102. For example, terminal 102 can directly process the hydrological elements of the area to be determined, or server 104 can obtain the hydrological elements of the area to be determined from the data storage system and process them.

[0025] The terminal 102 can be, but is not limited to, various desktop computers, laptops, smartphones, tablets, and IoT devices. The server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers, or it can be a cloud server.

[0026] In one exemplary embodiment, such as Figure 2 As shown, a method for determining water conservation efficiency is provided. This method is executed by computer equipment, specifically by a terminal or server alone, or by both a terminal and a server. In this embodiment, the method is applied to... Figure 1 Taking server 104 as an example, the explanation includes the following steps S201 to S204. Wherein: Step S201: Obtain the hydrological elements of the area to be determined, including precipitation, actual evapotranspiration, surface runoff and groundwater runoff.

[0027] In this embodiment, step S201 is the data foundation pre-processing step of the method provided by the present invention. First, the area to be determined for water conservation capacity calculation and evaluation is delineated. This area can be a natural watershed, a sub-watershed division unit, a regular grid calculation unit, or an administrative control unit such as a township or county. Around this delineated area, four types of hydrological elements indispensable for the water cycle balance are systematically collected, constituting all the input variables for the water balance calculation: Precipitation refers to the total amount of atmospheric rainfall that falls on the surface of a region per unit time and per unit area. It is the most important source of water resources in a watershed and determines the upper limit of regional water replenishment. Actual evapotranspiration, which includes the total water consumption from soil water surface evaporation, vegetation interception evaporation and plant transpiration, is the most significant water loss in the region and is affected by multiple factors such as temperature, vegetation cover, soil moisture, and wind speed. Surface runoff is the volume of water that accumulates on slopes and flows along ditches and rivers after insufficient precipitation infiltration. It is a water loss item in areas with rapid outflow. Groundwater runoff, formed by the slow lateral flow of precipitation after infiltration through the soil and regulation by the vadose zone, is an important component of the long-term water resource output and replenishment of the watershed.

[0028] Step S202: Determine the water conservation depth based on the preset water balance formula and hydrological elements, wherein the water conservation depth is the annual conservation depth obtained by summing the daily conservation depths.

[0029] In this embodiment, step S202 follows the principle of watershed water balance: within a closed or semi-closed geographic computing unit, water resources follow the conservation law of input water volume = loss water volume + outflow water volume + retention and regulation water volume. Precipitation is used as the total regional water input, while actual evapotranspiration, surface runoff, and groundwater runoff are used as the total regional water loss and outflow items. After deducting all losses and outflows from the input water volume, the remaining water volume intercepted, retained, and regulated by soil, vegetation, and groundwater aquifers is the water conservation water volume of the region, which is represented by water depth as the water conservation depth.

[0030] In specific calculations, a daily scale is uniformly adopted as the basic calculation time step to achieve a refined time series characterization, which is different from the traditional extensive mode of only counting by year. The daily element-by-element hydrological data obtained in step S201 are substituted into the system's preset standardized water balance calculation formula to solve for the daily water conservation depth, which can intuitively reflect the regional water surplus and deficit and conservation increase and decrease status on each day. By traversing all natural days throughout the year, the daily water conservation depth is summed over time, and the daily changes in water conservation throughout the year are integrated to calculate the annual water conservation depth. The annual water conservation depth is an absolute quantitative indicator that can objectively represent the overall water storage, water conservation, and regulation capacity of the area to be determined throughout the year. Positive values ​​indicate that the area's water conservation function is enhanced and water retention is increased, while negative values ​​indicate that the area's water consumption exceeds replenishment and its water conservation function is weakened. This provides a complete picture of the evolution of the water conservation surplus and deficit throughout the year.

[0031] For example, the calculation unit is a watershed sub-watershed, a grid unit, or an administrative region unit; the time step is a daily scale.

[0032] Record No. The hydrological elements of a spatial computing unit at time step t are: precipitation: (mm), Actual evaporation: (mm), Surface runoff: (mm), Groundwater runoff: (mm), water conservation depth: (mm).

[0033] The water balance equation is: Step S203: Obtain the historical conservation depth of the area to be determined.

[0034] In this embodiment, step S203 establishes a unified benchmark for subsequent comparative evaluation. Within the same evaluation area to be determined, historically calculated conservation depth data is retrieved as a reference benchmark for the current status year evaluation. The benchmark selection method is flexible and configurable. The conservation depth of the year immediately preceding the previous year can be used as the year-by-year comparison benchmark, the multi-year average conservation depth can be used as the regional normal baseline benchmark, or the conservation depth of a typical representative year with stable ecological status can be used as the ideal reference benchmark, adapting to different evaluation business needs.

[0035] Understandably, step S203 breaks through the limitations of traditional methods that only evaluate the absolute amount of water conservation in a single year, and establishes a benchmarking mechanism based on the region's own historical baseline. This effectively avoids numerical deviations caused by differences in the size of different watersheds, climatic backgrounds, topography, and underlying vegetation conditions, and eliminates the interference of interannual rainfall fluctuations on the absolute amount of water conservation. It provides a unified, fair, and universal benchmark for subsequent longitudinal comparisons of the same region over many years and horizontal comparisons of different spatial units, thus solving the inherent defects of evaluation without reference and benchmarking without a basis.

[0036] Step S204: Determine the water conservation efficiency based on the water conservation depth and historical conservation depth.

[0037] In this embodiment of the application, the annual water conservation depth calculated in step S202 is used as the current status evaluation sample value, and the historical regional water conservation depth obtained in step S203 is used as the benchmark reference value. A dimensionless water conservation efficiency index can be constructed by calculating the standardized ratio between the current status value and the benchmark value. This index is free from the constraints of physical dimensions such as water depth and volume, and only reflects the degree of relative change. The numerical value intuitively reflects the rise and fall of water conservation capacity relative to the benchmark level.

[0038] Understandably, step S204 abandons the method of relying solely on absolute values ​​such as water conservation depth and water volume for evaluation. It transforms absolute indicators, which are easily affected by interannual rainfall, climate fluctuations, and underlying surface conditions, into relatively efficient indicators with strong stability and unaffected by background conditions. This results in more objective and fair evaluation results. For the same region to be determined, changes in water conservation efficiency over many years can be continuously compared to accurately identify the evolutionary trend of improved, stable, or degraded conservation capacity. For different watersheds, sub-units, and administrative regions, the quality of conservation functions can be directly compared based on a unified efficiency scale, without being limited by regional area or differences in natural background. This fundamentally solves the core technical problem of existing technologies lacking a unified evaluation benchmark and the inability to make horizontal and vertical comparisons in water conservation evaluation. It provides standardized, quantifiable, and comparable core technical support for subsequent water conservation level scoring, ecological effectiveness assessment, water resource allocation decisions, and ecological protection and restoration effectiveness evaluation.

[0039] Based on the description of the above embodiments, the method provided by the present invention obtains hydrological elements such as regional precipitation, actual evapotranspiration, surface runoff, and groundwater runoff, accurately calculates the daily water conservation depth based on a preset water balance formula, and accumulates it to obtain the annual conservation depth, which can objectively restore the actual water conservation baseline level of the region. Then, the historical conservation depth of the region to be determined is introduced as a unified benchmark reference, and the current annual conservation depth is correlated with the historical conservation depth to obtain the water conservation efficiency. This can transform the absolute conservation amount affected by climate fluctuations and watershed baseline conditions into a dimensionless relative evaluation index, so that the water conservation capacity of different time periods and different spatial units has a quantifiable, benchmarkable, and comparable evaluation standard, which greatly improves the objectivity, universality, and comparability of water conservation evaluation, thereby solving the problem that the evaluation of water conservation amount in the prior art lacks a unified evaluation benchmark and cannot be compared horizontally and vertically.

[0040] Optionally, hydrological elements of the area to be determined can be obtained, specifically including: reading the precipitation, actual evapotranspiration, surface runoff and groundwater runoff of the area to be determined output by the hydrological model through a preset data interface.

[0041] In this embodiment, a dedicated standardized data interface is pre-configured in the computing system. This eliminates the need for manual processing and hydrological formula derivation calculations based on raw data measured at ground stations. The system automatically connects to external professional hydrological models through the pre-configured data interface, batch retrieves and parses the target area hydrological datasets output by the hydrological models after completing numerical simulation calculations, and directly obtains four types of hydrological elements: precipitation, actual evapotranspiration, surface runoff, and groundwater runoff. This provides a complete and standardized basic input data source for subsequent water balance calculations and solving for regional water conservation depth.

[0042] For example, hydrological models refer to professional hydrological simulation tools such as SWAT, InVEST, and HEC-HMS, which can physically simulate the entire water cycle process of a watershed based on topography, soil, land use, and meteorological data.

[0043] The preset data interface is a dedicated data interaction channel that is pre-developed and configured within the system. The interface has pre-set data format parsing rules, key field matching rules, automatic unit conversion rules, time series time scale alignment rules, and spatial partition matching rules, eliminating the need for on-site configuration and manual intervention. This data interface enables communication and automatic data parsing between the computational system of this method and external hydrological models. It can adaptively identify the output file format of hydrological models, automatically extract target hydrological fields, and automatically match spatiotemporal scale relationships, achieving automated data transmission and adaptation across systems without manual intervention.

[0044] Understandably, relying on pre-defined data interfaces enables automatic access, parsing, adaptation, and storage of hydrological model data, avoiding manual processing, format conversion, and manual entry, thus standardizing and automating the hydrological element acquisition process. It is compatible with the output formats of multiple mainstream distributed hydrological models; any watershed area with hydrological model simulation results can directly reuse this solution for rapid acquisition of hydrological elements, significantly improving the method's versatility and engineering adaptability. The hydrological element results obtained from the physical hydrological mechanism simulation of the hydrological model possess rigorous data mechanisms, good spatiotemporal continuity, and stable simulation accuracy, providing highly reliable basic data support for subsequent calculations of water conservation depth, quantification of water conservation efficiency, and grade evaluation.

[0045] Optionally, the hydrological elements of the area to be determined are obtained, specifically including: obtaining the original observation data of the area to be determined from meteorological and hydrological stations, and determining the hydrological elements based on the original observation data and preset hydrological formulas.

[0046] In this embodiment of the application, the above steps first collect the ground-based measured raw observation data of meteorological stations and hydrological stations within the area to be determined, and then rely on the preset hydrological formulas built into the system to perform hydrological calculations on the raw observation data, and autonomously solve for the required hydrological elements such as precipitation, actual evapotranspiration, surface runoff, and groundwater runoff, providing basic input data for subsequent water balance and water conservation depth calculations.

[0047] Specifically, the raw observation data from meteorological stations include routine daily meteorological records such as temperature, wind speed, relative humidity, sunshine hours, air pressure, and rainfall; the raw observation data from hydrological stations include hydrological measurement sequence data such as river level, flow rate, baseflow process, and soil moisture content.

[0048] The preset hydrological formulas are classic hydrological mechanism calculation models and algorithm formulas that are pre-built and solidified in the system, including but not limited to: Penman-Monteith evapotranspiration calculation formula, SCS-CN curve number surface runoff calculation formula, baseflow segmentation formula, spatial interpolation formula, etc.

[0049] Using raw observation data from meteorological and hydrological stations as input parameters, and substituting various preset hydrological formulas, the system autonomously calculates the gridded / unitized precipitation, actual evapotranspiration, surface runoff, and groundwater runoff for the area to be determined through numerical calculations, spatial interpolation, and time series fitting.

[0050] Understandably, the above approach allows for independent calculation of hydrological elements in remote watersheds and data-scarce areas lacking simulation results from models such as SWAT and InVEST, thus broadening its applicability. Furthermore, by directly utilizing original in-situ observation data from meteorological and hydrological stations, it avoids mechanistic errors introduced by model simulations, ensuring that the calculated element results closely match the actual hydrological underlying surface conditions of the region.

[0051] For example, the reference evapotranspiration can be calculated using the Penman-Monteith method, and then combined with crop coefficients to obtain the actual evapotranspiration: Where: Δ is the slope of the saturated vapor pressure curve; H net Net radiation; G is soil heat flux; γ is humidity constant; ρ air Air density, unit: kg / m³ 3 P is atmospheric pressure (kPa); k1 is an empirical constant, dimensionless; e s 0 For saturated water vapor pressure and e s Actual water vapor pressure (kPa); γ c Stomatal impedance of vegetation; γ a It is the aerodynamic impedance.

[0052] Traditional methods such as the SCS-CN curve number method and the unit hydrograph method can be used to calculate surface runoff. Based on the given curve parameters CN, first calculate the maximum potential retention S: Calculate the initial loss using the initial loss formula. : According to precipitation and the previously calculated S and Substitute into the surface runoff formula Subsurface runoff (baseflow) (mm) can be calculated using the water storage-release type baseflow segmentation method: in, Let be the groundwater runoff at time t. This is the base current decay coefficient. The total runoff at time t-1 Let t be the basic flux at time t-1, where t is the time step mentioned above.

[0053] Optionally, in step S204, the water conservation efficiency is determined based on the water conservation depth and historical conservation depth, specifically including the following steps: Step S2041: Determine the cumulative conservation depth based on the water source conservation depth and historical conservation depth.

[0054] In this embodiment of the application, step S2041 uses the current year's water conservation depth as the basis for the current water volume retention, and combines the baseline level of historical conservation depth to perform time-series superposition and relative cumulative extrapolation to calculate the cumulative conservation depth.

[0055] The cumulative water conservation depth is based on the historical baseline state. It is the overall cumulative water storage depth of the region formed by the sum of the water surplus and deficit in each period of the year. It can reflect the overall increase and decrease of water conservation capacity from the baseline year to the current year. It is not a single year instantaneous value, but a cumulative value with time-series evolution characteristics, providing an intermediate quantitative indicator for subsequent calculation of relative efficiency.

[0056] For example, the water conservation depth is obtained by summing up all days within a year: If the result is positive, the total annual cultivation increases; if the result is negative, the total annual cultivation decreases.

[0057] It should be noted that the water conservation depth multiplied by the area (Unit: km) 2 or m 2 Convert to volume: Historical water conservation depth (using the previous year or multi-year average water conservation capacity as the baseline year), unit The baseline capacity is (m) 3 ), corresponding area (km) 2 ).

[0058] The cumulative cultivation depth is: Understandably, when many days When <0, It will decrease, indicating that the total depth of cultural content is decreasing; when it is When >0, It will be greater than the baseline thickness, indicating an increase in total nutrient depth.

[0059] Step S2042: Determine the water source conservation efficiency based on the cumulative conservation depth and historical conservation depth.

[0060] In this embodiment, the cumulative water conservation depth obtained in S2041 is used as the current status characteristic quantity, and the historical water conservation depth is used as the fixed and unified evaluation benchmark quantity. The dimensionless water conservation efficiency is calculated by the normalized ratio between the two. This efficiency is no longer affected by external factors such as the size of the area, differences in the underlying topography, and fluctuations in interannual rainfall. It is free from the constraints of the physical dimension of water depth and only represents the degree of the current cumulative water conservation level relative to the historical benchmark level: efficiency greater than 1 means that the current cumulative water conservation level is better than the historical benchmark, and the water conservation function is improved; efficiency equal to 1 means that the current water conservation level is basically the same as the historical benchmark; efficiency less than 1 means that the current cumulative water conservation level is weaker than the historical benchmark, and the water conservation function has declined.

[0061] For example, the formula for calculating water conservation efficiency in annual units is as follows: The formula for calculating the average daily water conservation efficiency is: It is understandable that by converting the cultivation depth value into a standardized efficiency indicator that can be compared longitudinally across years and laterally across regions through step S2042, a unified evaluation benchmark can be established, fundamentally overcoming the shortcomings of existing technologies in terms of inconsistent evaluation standards and the inability to be compared horizontally and vertically.

[0062] Optionally, after determining the water conservation efficiency based on the water conservation depth and historical conservation depth, the method further includes: Step S205: Obtain historical annual efficiency data for several years.

[0063] In this embodiment of the application, step S205 establishes a long-term benchmark dataset for subsequent normalization and grading evaluation. Based on the water conservation efficiency obtained in a single year, the calculated annual water conservation efficiencies for the region to be determined over several consecutive years are collected to form a multi-year historical annual efficiency time series dataset.

[0064] The multi-year historical annual efficiency is a standardized efficiency value obtained from the same spatial unit over the years using the same calculation method. This ensures consistency in statistical caliber and calculation rules, providing a complete time-series sample basis for subsequent extreme value extraction and global normalization.

[0065] Step S206: Determine the maximum and minimum efficiency values ​​from the historical annual efficiency over many years.

[0066] In this embodiment of the application, step S206 iterates through the historical annual efficiency over many years and extracts the maximum and minimum efficiency values ​​over many years. The maximum value represents the state where the water conservation function of the region is optimal and the efficiency is highest in history; the minimum value represents the state where the water conservation function is weakest and the efficiency is lowest in history.

[0067] Step S207: Based on the maximum and minimum efficiency values, normalize the historical annual efficiency and water conservation efficiency over many years to obtain the normalized efficiency.

[0068] In this embodiment of the application, the maximum and minimum efficiency values ​​determined in step S206 are used as fixed reference intervals. An extreme value normalization algorithm is used to uniformly map the historical annual efficiency and the current water conservation efficiency to be evaluated to the 0-1 standard interval, and convert them into dimensionless normalized efficiency.

[0069] Understandably, normalization eliminates the impact of differences in absolute efficiency values, interannual climate fluctuations, and regional background conditions, ensuring that efficiency values ​​in different years and spatial units fall on the same comparable standard scale, thus achieving a unified quantitative benchmark for longitudinal cross-year comparisons and horizontal cross-regional comparisons.

[0070] For example, suppose there are N years, and the annual efficiency is... , where y=1,…,N.

[0071] The maximum value is represented as: The minimum value is represented as: The water conservation efficiency within the same calculation unit is expressed as: when = When, E∗=0; when = When E* = 1.

[0072] The multi-year water conservation efficiency between different units is expressed as follows: Step S208: Determine the water conservation efficiency rating based on the normalized efficiency.

[0073] In this embodiment of the application, a standardized water conservation efficiency rating result can be formed based on the numerical range of the normalized efficiency and according to the preset rating rules.

[0074] The rating rules can be customized to adjust thresholds based on the watershed's ecological background and management needs, and output intuitive and applicable rating conclusions, providing clear, quantitative, and implementable evaluation criteria for assessing the effectiveness of watershed ecological restoration, water resource management, and ecological compensation rating.

[0075] Optionally, in step S208, the water conservation efficiency rating is determined based on the normalized efficiency, specifically including: Step S2081: Determine the efficiency score based on the normalized efficiency.

[0076] In this embodiment of the application, the normalized efficiency value ranges from 0 to 1. Step S2081 converts the dimensionless normalized efficiency value into an efficiency score of 0 to 100 points according to the linear conversion rule.

[0077] It is understandable that by transforming the abstract standardized values ​​of 0–1 into a percentage-based quantitative score that is easy for the public and management departments to understand and for statistical comparison, the relative quality of water source conservation can be presented in an intuitive score form, thereby quantifying, quantifying, and visualizing the evaluation results and providing an accurate score basis for subsequent grade determination.

[0078] Step S2082: Determine the water source conservation efficiency rating based on the efficiency score and the preset grading threshold.

[0079] In this embodiment of the application, fixed score grading threshold ranges are preset in advance according to the requirements of watershed ecological management, regional natural background conditions and industry standards, such as the score boundary values ​​corresponding to excellent, good, medium and poor.

[0080] The efficiency score obtained in step S2081 is compared and matched with the preset grading threshold to determine which threshold range the efficiency score belongs to, and then the corresponding water conservation efficiency level is automatically determined.

[0081] The grading threshold can be flexibly configured according to the actual management needs of different watersheds and different ecological functional zones, without being limited to a fixed 0-1000 segment standard; ultimately, the quantitative score is translated into a qualitative grade evaluation, realizing a complete closed loop from data calculation, score quantification, and grade evaluation, solving the problems of traditional evaluation lacking a unified grading standard, having strong subjectivity in the results, and being inconvenient for business management and assessment.

[0082] For example, with a normalized efficiency E of 0–1 ∗ It can be directly converted to a 100-point scale. Then determine the level: For example, refer to Figure 3 and Figure 4 The present invention is implemented as follows: The data acquisition module performs data collection and input steps: Through its data interface submodule, the data acquisition module reads the precipitation, actual evapotranspiration, surface runoff, and groundwater of the area to be determined from the output of the external hydrological model; at the same time, through the built-in calculation submodule, it calculates the above-mentioned hydrological elements based on the original observation data of meteorological and hydrological stations and preset hydrological formulas, providing input data for subsequent calculations.

[0083] The water conservation capacity calculation module performs the steps of calculating water conservation capacity and converting it into water depth: Based on the preset water balance formula and the acquired hydrological elements, the water conservation capacity calculation module calculates the daily water conservation depth with a daily time step to depict the daily water surplus and deficit status of the region.

[0084] The volume conversion and annual summary module performs the summary calculation of the annual water conservation depth: The volume conversion and annual summary module adds up the daily water conservation depth throughout the year to obtain the annual water source conservation depth, and combines the area of ​​the calculation unit to convert it into the volume of water conservation, thus completing the calculation from the daily process to the annual total.

[0085] The benchmark depth and efficiency calculation module performs the following steps: obtaining the benchmark water conservation depth of the previous year and calculating the cumulative water conservation depth and water conservation efficiency. First, the benchmark depth and efficiency calculation module retrieves the benchmark water conservation depth of the area to be determined in the previous year and calculates the cumulative water conservation depth in combination with the current year's water conservation depth. Then, using the cumulative water conservation depth and the benchmark water conservation depth as input, it generates a dimensionless water conservation efficiency index through ratio calculation.

[0086] The summary and evaluation module performs the following steps: obtaining historical maximum and minimum values, normalizing efficiency, converting to a scoring mechanism, and outputting and displaying the results. First, the summary and evaluation module extracts the maximum and minimum efficiency values ​​from the annual efficiency over many years, normalizes the historical efficiency and the current efficiency to obtain a normalized efficiency in the range of 0-1; then, it converts the normalized efficiency into a percentage efficiency score and determines the water conservation efficiency rating based on preset grading thresholds; finally, it outputs and displays the conservation volume, efficiency, score, and grade results.

[0087] Based on the same inventive concept, this application also provides a device for determining water conservation efficiency. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the water conservation efficiency determination device provided below can be found in the limitations of the water conservation efficiency determination method described above, and will not be repeated here.

[0088] In one exemplary embodiment, such as Figure 5As shown, a water conservation efficiency determination device 40 is provided. The device includes: a first acquisition module 501, used to acquire hydrological elements of the area to be determined, wherein the hydrological elements include precipitation, actual evapotranspiration, surface runoff and groundwater runoff; a first determination module 502, used to determine the water conservation depth according to a preset water balance formula and hydrological elements, wherein the water conservation depth is the annual conservation depth obtained by accumulating the daily conservation depths; a second acquisition module 503, used to acquire the historical conservation depth of the area to be determined; and a second determination module 504, used to determine the water conservation efficiency based on the water conservation depth and the historical conservation depth.

[0089] Optionally, the first acquisition module 501 is also used to: read the precipitation, actual evapotranspiration, surface runoff and groundwater runoff of the area to be determined from the hydrological model output through a preset data interface.

[0090] Optionally, the first acquisition module 501 is further configured to: acquire raw observation data of the area to be determined from meteorological and hydrological stations; and determine hydrological elements based on the raw observation data and preset hydrological formulas.

[0091] Optionally, the second determining module 504 is further configured to: determine the cumulative water conservation depth based on the water source conservation depth and the historical water conservation depth; and determine the water source conservation efficiency based on the cumulative water conservation depth and the historical water conservation depth.

[0092] Optionally, the second determining module 504 is further configured to: obtain historical annual efficiency over many years; determine the maximum and minimum efficiency values ​​from the historical annual efficiency over many years; normalize the historical annual efficiency and water conservation efficiency over many years based on the maximum and minimum efficiency values ​​to obtain normalized efficiency; and determine the water conservation efficiency rating based on the normalized efficiency.

[0093] Optionally, the second determining module 504 is further configured to: determine an efficiency score based on normalized efficiency; and determine a water conservation efficiency rating based on the efficiency score and a preset grading threshold.

[0094] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 6As shown. The computer device includes a processor, memory, input / output interface (I / O), and communication interface. The processor, memory, and I / O interface are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interface. The processor provides computational and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores hydrological data. The I / O interface allows the processor to exchange information with external devices. The communication interface allows communication with external terminals via a network connection. When executed by the processor, the computer program implements a method for determining water conservation efficiency. Those skilled in the art will understand that... Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0095] In one exemplary embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0096] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0097] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0098] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0099] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0100] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0101] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0102] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for determining water source conservation efficiency, characterized in that, The method for determining water conservation efficiency includes: Obtain hydrological elements of the area to be determined, wherein the hydrological elements include precipitation, actual evapotranspiration, surface runoff and groundwater runoff; The water conservation depth is determined based on the preset water balance formula and the hydrological elements, wherein the water conservation depth is the annual conservation depth obtained by summing the daily conservation depths. To determine the historical depth of the area to be identified; The water conservation efficiency is determined based on the water conservation depth and the historical conservation depth.

2. The method for determining water conservation efficiency according to claim 1, characterized in that, The acquisition of hydrological elements of the area to be determined specifically includes: The system reads the precipitation, actual evapotranspiration, surface runoff, and groundwater flow of the area to be determined from the hydrological model output via a preset data interface.

3. The method for determining water conservation efficiency according to claim 1, characterized in that, The acquisition of hydrological elements of the area to be determined specifically includes: Obtain raw observation data of the area to be determined from meteorological and hydrological stations; The hydrological elements are determined based on the original observation data and the preset hydrological formulas.

4. The method for determining water conservation efficiency according to claim 1, characterized in that, The determination of water conservation efficiency based on the water conservation depth and the historical water conservation depth specifically includes: The cumulative conservation depth is determined based on the water source conservation depth and the historical conservation depth; The water conservation efficiency is determined based on the cumulative conservation depth and the historical conservation depth.

5. The method for determining water conservation efficiency according to claim 1, characterized in that, After determining the water conservation efficiency based on the water conservation depth and the historical conservation depth, the method further includes: Obtain historical annual efficiency data over many years; Determine the maximum and minimum efficiency values ​​from the historical annual efficiency over the years. Based on the maximum and minimum efficiency values, the historical annual efficiency over many years and the water conservation efficiency are normalized to obtain the normalized efficiency. The water conservation efficiency rating is determined based on the normalized efficiency.

6. The method for determining water conservation efficiency according to claim 5, characterized in that, The determination of water conservation efficiency rating based on the normalized efficiency specifically includes: The efficiency score is determined based on the normalized efficiency. The water conservation efficiency rating is determined based on the efficiency score and the preset grading threshold.

7. A device for determining water source conservation efficiency, characterized in that, The water source conservation efficiency determination device includes: The first acquisition module is used to acquire hydrological elements of the area to be determined, wherein the hydrological elements include precipitation, actual evapotranspiration, surface runoff and groundwater runoff; The first determining module is used to determine the water source conservation depth according to the preset water balance formula and the hydrological elements, wherein the water source conservation depth is the annual conservation depth obtained by accumulating the daily conservation depths. The second acquisition module is used to acquire the historical conservation depth of the area to be determined. The second determining module is used to determine the water conservation efficiency based on the water conservation depth and the historical conservation depth.

8. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the steps of the method for determining water conservation efficiency according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the steps of the method for determining water conservation efficiency as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the steps of the method for determining water conservation efficiency as described in any one of claims 1-6.

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