A method and system for evaluating the increment of water storage based on runoff modulus

Abstract

The present invention discloses a method and system for evaluating the increment of water storage based on runoff modulus. Among them, the method obtains the catchment area of the water storage project, the first pre-rainfall soil moisture data, the first rainfall data, the second pre-rainfall soil moisture data, and the second rainfall data; obtains the historical runoff modulus according to the first rainfall data and the catchment area; divides the historical rainfall events into runoff categories according to the first rainfall data and the first pre-rainfall soil moisture data to obtain the rainfall runoff categories; conducts interval statistics on the historical runoff modulus according to the rainfall runoff categories to obtain the runoff intervals; and evaluates the increment of water storage in the water storage project for the second pre-rainfall soil moisture data and the second rainfall data according to the rainfall runoff categories, runoff intervals, and catchment area to obtain the evaluation result of the increment of water storage. This method can effectively improve the evaluation accuracy and efficiency of the increment of water storage in the water storage project and improve the applicability of the evaluation of the increment of water storage. This application relates to the technical field of water conservancy projects.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy projects, and in particular to a method and system for evaluating the increased storage volume based on runoff modulus. Background Art

[0002] In recent years, due to the influence of factors such as climate change, the frequency of extreme rainstorm events has been increasing in some regions. In order to reduce the adverse effects brought by extreme rainstorm events, obtaining the increased storage volume of water storage projects (such as reservoirs, etc.) in each rainfall in a timely manner has become one of the key concerns.

[0003] Currently, the traditional methods for estimating the increased storage volume of water storage projects can generally be divided into two categories. The first category of methods is usually calculated based on runoff generation and concentration models, and its calculation process is very complex, making it difficult to achieve a rapid and accurate evaluation of the increased storage volume of water storage projects, and its applicability is not high. The second category of methods is based on the runoff coefficient promulgated by relevant hydrological departments, and the increased storage volume is calculated through this runoff coefficient. The accuracy of the increased storage volume evaluated by this category of methods is not high, and its applicability is limited.

[0004] Therefore, the problems existing in the prior art still need to be solved and optimized urgently. Summary of the Invention

[0005] An object of the present invention is to solve at least to some extent one of the technical problems existing in the related art.

[0006] To this end, an object of an embodiment of the present invention is to provide a method for evaluating the increased storage volume based on runoff modulus, which can effectively improve the evaluation accuracy and evaluation efficiency of the increased storage volume of water storage projects, and improve the applicability of the evaluation of the increased storage volume.

[0007] Another object of an embodiment of the present application is to provide a system for evaluating the increased storage volume based on runoff modulus.

[0008] To achieve the above technical object, the technical solutions adopted in the embodiments of the present application include:

[0009] In a first aspect, an embodiment of the present application provides a method for evaluating the increased storage volume based on runoff modulus, including:

[0010] Obtain the catchment area of the water storage project, the first soil antecedent moisture data and the first rainfall data of historical rainfall events, as well as the second soil antecedent moisture data and the second rainfall data of the actual rainfall event;

[0011] According to the first rainfall data and the catchment area, obtain the historical runoff modulus corresponding to the historical rainfall event;

[0012] Classify the runoff categories of the historical rainfall events based on the first rainfall data and the first antecedent soil moisture data to obtain rainfall runoff categories;

[0013] Perform category interval statistics on the historical runoff modulus according to the rainfall runoff categories to obtain runoff intervals, where each runoff interval corresponds to one of the rainfall runoff categories, and the runoff interval is used to represent a range interval composed of a number of the historical runoff modulus;

[0014] Evaluate the water storage increment of the water storage project for the second antecedent soil moisture data and the second rainfall data according to the rainfall runoff categories, the runoff intervals, and the catchment area to obtain the water storage increment evaluation result.

[0015] In addition, according to the evaluation method of the above embodiments of the present application, the following additional technical features may also be provided:

[0016] Further, in an embodiment of the present application, the obtaining of the historical runoff modulus corresponding to the historical rainfall event according to the first rainfall data and the catchment area includes:

[0017] Obtain the historical water storage increment of the water storage project, where the historical water storage increment corresponds to the historical rainfall event;

[0018] Perform modulus calculation on the first rainfall data according to the historical water storage increment and the catchment area to obtain the historical runoff modulus.

[0019] Further, in an embodiment of the present application, the classifying the runoff categories of the historical rainfall events based on the first rainfall data and the first antecedent soil moisture data to obtain rainfall runoff categories includes:

[0020] Classify the soil moisture categories of the historical rainfall events according to the first antecedent soil moisture data to obtain rainfall soil categories;

[0021] Classify the rainfall categories of the rainfall soil categories according to the first rainfall data to obtain the rainfall runoff categories.

[0022] Further, in an embodiment of the present application, the classifying the soil moisture categories of the historical rainfall events according to the first antecedent soil moisture data to obtain rainfall soil categories includes:

[0023] Obtain a preset maximum number of iterations;

[0024] Perform first possibility mean clustering on the historical rainfall events according to the maximum number of iterations and the first antecedent soil moisture data to obtain the rainfall soil categories.

[0025] Further, in an embodiment of the present application, the step of classifying the rainfall soil category according to the first rainfall data to obtain the rainfall runoff generation category includes:

[0026] Obtain a preset clustering threshold;

[0027] Perform mapping screening on the first rainfall data according to the rainfall soil category to obtain intermediate rainfall data corresponding to the rainfall soil category;

[0028] Perform second-possibility mean clustering on the rainfall soil category according to the clustering threshold and the intermediate rainfall data to obtain the rainfall runoff generation category.

[0029] Further, in an embodiment of the present application, the step of statistically analyzing the historical runoff modulus according to the rainfall runoff generation category to obtain a runoff interval includes:

[0030] Obtain a plurality of historical runoff moduli corresponding to the rainfall runoff generation category and a preset confidence level;

[0031] Perform sample data calculation on the plurality of historical runoff moduli corresponding to the rainfall runoff generation category to obtain a sample mean and a standard deviation corresponding to the rainfall runoff generation category;

[0032] Perform confidence interval calculation on the sample mean and the standard deviation according to the confidence level to obtain the runoff interval.

[0033] Further, in an embodiment of the present application, the step of evaluating the water storage increment of the water storage project for the second pre-rainfall soil moisture data and the second rainfall data according to the rainfall runoff generation category, the runoff interval, and the catchment area to obtain a water storage increment evaluation result includes:

[0034] Match the second pre-rainfall soil moisture data and the second rainfall data according to the rainfall runoff generation category to obtain a target runoff generation category;

[0035] Perform modulus screening on the runoff interval according to the target runoff generation category to obtain upper and lower limits of the target runoff modulus;

[0036] Calculate the water storage increment of the water storage project for the second rainfall data according to the upper and lower limits of the target runoff modulus and the catchment area to obtain the water storage increment evaluation result.

[0037] In a second aspect, an embodiment of the present application provides a water storage increment evaluation system based on runoff modulus, including:

[0038] An acquisition module, configured to acquire the catchment area of the water storage project, the first soil antecedent moisture data and the first rainfall data of historical rainfall events, as well as the second soil antecedent moisture data and the second rainfall data of actual rainfall events;

[0039] A processing module, configured to obtain the historical runoff modulus corresponding to the historical rainfall event according to the first rainfall data and the catchment area;

[0040] A classification module, configured to classify the historical rainfall events according to the first rainfall data and the first soil antecedent moisture data to obtain rainfall runoff categories;

[0041] A statistics module, configured to perform category interval statistics on the historical runoff modulus according to the rainfall runoff categories to obtain runoff intervals, each runoff interval corresponding to one of the rainfall runoff categories, and the runoff interval being used to represent a range interval composed of a plurality of the historical runoff moduli;

[0042] An evaluation module, configured to evaluate the water storage increment of the water storage project for the second soil antecedent moisture data and the second rainfall data according to the rainfall runoff categories, the runoff intervals and the catchment area to obtain a water storage increment evaluation result.

[0043] In a third aspect, an embodiment of the present application further provides a water storage increment evaluation device based on runoff modulus, including:

[0044] At least one processor;

[0045] At least one memory, configured to store at least one program;

[0046] When the at least one program is executed by the at least one processor, the at least one processor implements the method of the first aspect above.

[0047] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, in which a program executable by a processor is stored, and the program executable by the processor is used to implement the method of the first aspect above when executed by the processor.

[0048] The advantages and beneficial effects of the present application will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present application:

[0049] An evaluation method and system for water storage increment based on runoff modulus disclosed in the embodiments of the present application. In this evaluation method, the catchment area of the water storage project, the first soil antecedent moisture data and the first rainfall data of historical rainfall events, as well as the second soil antecedent moisture data and the second rainfall data of actual rainfall events are obtained; according to the first rainfall data and the catchment area, the historical runoff modulus corresponding to the historical rainfall events is obtained; according to the first rainfall data and the first soil antecedent moisture data, the historical rainfall events are classified into runoff categories to obtain rainfall runoff categories; according to the rainfall runoff categories, the historical runoff modulus is statistically analyzed in category intervals to obtain runoff intervals, and each runoff interval corresponds to one of the rainfall runoff categories, and the runoff interval is used to represent the range interval composed of a number of the historical runoff modulus; according to the rainfall runoff categories, the runoff intervals and the catchment area, the second soil antecedent moisture data and the second rainfall data are evaluated for the water storage increment of the water storage project to obtain the water storage increment evaluation result. This evaluation method determines the historical runoff modulus corresponding to each historical rainfall event based on the first rainfall data of several historical rainfall events of the water storage project; then, in combination with the soil antecedent moisture data, the rainfall runoff category and the runoff interval corresponding to each historical rainfall event are respectively determined, and the runoff modulus range corresponding to different categories of rainfall events can be determined, thereby improving the evaluation accuracy of the water storage increment of the water storage project and having high applicability; in addition, based on the obtained runoff intervals, this evaluation method can more quickly realize the evaluation of the water storage increment, and the evaluation efficiency is relatively high. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following introduces the relevant technical solution drawings in the embodiments of the present application or the prior art. It should be understood that the drawings introduced below are only for conveniently and clearly expressing some embodiments of the technical solutions in the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative efforts.

[0051] Figure 1 It is a schematic flow chart of an evaluation method for water storage increment based on runoff modulus provided by the embodiments of the present application;

[0052] Figure 2 It is a schematic structural diagram of an evaluation system for water storage increment based on runoff modulus provided by the embodiments of the present application;

[0053] Figure 3 It is a schematic structural diagram of an evaluation device for water storage increment based on runoff modulus provided by the embodiments of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0054] Embodiments of the present application will be described in detail below. Examples of the embodiments are shown in the accompanying drawings, where like or similar reference numerals denote like or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the accompanying drawings are exemplary and are only used to explain the present application and should not be construed as a limitation of the present application. For the step numbers in the following embodiments, they are only set for the convenience of explanation and illustration, and no limitation is imposed on the order between the steps. The execution order of each step in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0056] Currently, the traditional methods for estimating the water storage increment of water storage projects can generally be divided into two categories. The first category of methods is usually calculated based on the runoff generation and concentration model. The calculation process of the entire model is very complex. Usually, computer programming is required for calculation, involving a large number of parameters and taking a long time for calculation. When the rainfall situation changes rapidly, it is difficult to quickly and accurately evaluate the water storage increment of the water storage project, and its applicability is not high.

[0057] The second category of methods is based on the runoff coefficient promulgated by relevant hydrological departments, and the water storage increment is calculated through this runoff coefficient. In some areas where droughts and floods alternate frequently (for example, there are large changes between rainfall and drought, and the underlying surface conditions such as soil and vegetation around the water storage project change rapidly), the accuracy of the water storage increment obtained based on a single numerical runoff coefficient is poor, and its applicability is limited; in addition, due to the influence of different factors such as basin characteristics, climate conditions, and human activity levels in different regions, the accuracy of the water storage increment obtained based on a single numerical runoff coefficient is not satisfactory.

[0058] In view of this, an embodiment of the present invention provides a method for evaluating the water storage increment based on the runoff modulus. This evaluation method determines the historical runoff modulus corresponding to each historical rainfall event based on the first rainfall data of several historical rainfall events of the water storage project; then, in combination with the previous soil moisture data, it respectively determines the rainfall runoff generation category and runoff generation interval corresponding to each historical rainfall event, and can determine the runoff modulus range corresponding to different categories of rainfall events, thereby improving the evaluation accuracy, applicability, and evaluation efficiency of the water storage increment of the water storage project; in addition, based on the obtained runoff generation interval, this evaluation method can more quickly realize the evaluation of the water storage increment, and the evaluation efficiency is relatively high.

[0059] Referring to Figure 1 , in an embodiment of the present application, a method for evaluating the water storage increment based on the runoff modulus includes:

[0060] Step 110: Obtain the catchment area of the water storage project, the first soil pre-rainfall water content data and the first rainfall data of historical rainfall events, as well as the second soil pre-rainfall water content data and the second rainfall data of actual rainfall events.

[0061] In the embodiments of the present application, the catchment area of the water storage project may be the elevation (DEM) data of the catchment and water storage project and its surrounding areas. Through hydrological analysis using an elevation model, the catchment area of the water storage project is extracted; historical rainfall events may be continuous rainfall events within a historical time period in the catchment area of the water storage project; the first soil pre-rainfall water content data is the water content state of the soil in the catchment area of the water storage project before a specific time point, and this specific time point may be the time point before the continuous rainfall event occurs; each first rainfall data may be the rainfall amount corresponding to a corresponding historical rainfall event.

[0062] It can be understood that for actual rainfall events, they may be continuous rainfall events within the current time period in the catchment area of the water storage project. The second soil pre-rainfall water content data is similar to the aforementioned first soil pre-rainfall water content data, and the second rainfall data is similar to the aforementioned first rainfall data. It can be simply deduced by analogy, and the present application will not elaborate here.

[0063] Step 120: Obtain the historical runoff modulus corresponding to the historical rainfall event according to the first rainfall data and the catchment area.

[0064] In some embodiments, step 120: Obtain the historical runoff modulus corresponding to the historical rainfall event according to the first rainfall data and the catchment area, includes:

[0065] A1: Obtain the historical water storage increment of the water storage project, and the historical water storage increment corresponds to the historical rainfall event.

[0066] A2: Perform modulus calculation on the first rainfall data according to the historical water storage increment and the catchment area to obtain the historical runoff modulus.

[0067] In the embodiments of the present application, for a certain historical rainfall event of the water storage project, first, the historical water storage increment of the water storage project under the influence of this historical rainfall event can be obtained. This historical water storage increment can be obtained based on the water supply and water storage corresponding to the time period of the historical rainfall event.

[0068] Specifically, for a certain historical rainfall event of the water storage project, the starting time of the rainfall is the first rainfall time, and the ending time of the rainfall is the second rainfall time. Then the equivalent expression form of the historical water storage increment can be expressed as:

[0069]

[0070] Wherein, W is the historical water storage increment corresponding to a certain historical rainfall event of the water storage project; is the water storage volume of the water storage project at the second rainfall time; is the water storage volume of the water storage project at the first rainfall time; is the water supply volume provided to the downstream by the water storage project during the period from the first rainfall time to the second rainfall time.

[0071] It can be understood that the historical runoff modulus is used to characterize the water storage increment generated per unit area and per unit rainfall in the corresponding historical rainfall events of the water storage project within the catchment area. The equivalent expression for the modulus calculation in step A2 can be:

[0072]

[0073] Wherein, W is the historical water storage increment, and its unit is m 2 , 3 ; P is the first rainfall data, and its unit is mm; A is the catchment area of the water storage project, and its unit is km 2 .

[0074] Step 130: Classify the historical rainfall events according to the first rainfall data and the first soil antecedent moisture data to obtain rainfall runoff categories;

[0075] In some embodiments, step 130: Classify the historical rainfall events according to the first rainfall data and the first soil antecedent moisture data to obtain rainfall runoff categories, including:

[0076] B1. Classify the historical rainfall events according to the first soil antecedent moisture data to obtain rainfall soil categories;

[0077] Further, step B1: Classify the historical rainfall events according to the first soil antecedent moisture data to obtain rainfall soil categories, including:

[0078] B11. Obtain a preset maximum number of iterations;

[0079] B12. Perform first-possibility mean clustering on the historical rainfall events according to the maximum number of iterations and the first soil antecedent moisture data to obtain the rainfall soil categories.

[0080] In an embodiment of the present application, after obtaining the historical runoff modulus corresponding to each historical rainfall event, all historical rainfall events can be classified in terms of soil water content. Specifically, step B1 can obtain a preset maximum number of iterations, and the specific value of the maximum number of iterations can be any one of 10, 50, 100, etc.

[0081] It can be understood that step B2 can be based on the first pre-rainfall soil water data, randomly select several first pre-rainfall soil water data as the initial clustering centers, and provide an initial value of the possibility weight for the initial clustering centers; then, calculate the membership degree of each data point to each clustering cluster according to the current clustering centers and possibility weights, and each data point corresponds to a first pre-rainfall soil water data; then, update the clustering centers and possibility weights by minimizing the objective function, so that the possibility weights of each data point and each clustering cluster can be appropriately adjusted; then, compare whether the current number of iterations is greater than or equal to the preset maximum number of iterations. If the current number of iterations is greater than or equal to the preset maximum number of iterations, the rainfall soil categories can be obtained according to the latest clustering centers; or, if the current number of iterations is less than the preset maximum number of iterations, the step of calculating the membership degree of each data point to each clustering cluster according to the current clustering centers and possibility weights can be returned for execution.

[0082] It is worth mentioning that in an embodiment of the present application, taking the case where there are two rainfall soil categories as an example, the rainfall soil categories at this time include the category of unfilled soil and the category of filled soil. The examples of the present application are only for illustration, and the specific number of rainfall soil categories can be flexibly set according to the actual situation.

[0083] B2. According to the first rainfall data, classify the rainfall soil categories to obtain the rainfall runoff categories.

[0084] Further, the step B2, according to the first rainfall data, classify the rainfall soil categories to obtain the rainfall runoff categories, includes:

[0085] B21. Obtain a preset clustering threshold;

[0086] B22. According to the rainfall soil categories, perform mapping and screening on the first rainfall data to obtain intermediate rainfall data corresponding to the rainfall soil categories;

[0087] B23. According to the clustering threshold and the intermediate rainfall data, perform second-possibility mean clustering on the rainfall soil categories to obtain the rainfall runoff categories.

[0088] In the embodiments of the present application, the clustering threshold is used to determine whether the change in the clustering center is small, and its specific value can be set according to the actual situation. Step B22 may be to screen the first rainfall data based on the rainfall soil category, and the intermediate rainfall data obtained may be the first rainfall data corresponding to the soil fully saturated category or the first rainfall data corresponding to the soil not fully saturated category.

[0089] It can be understood that step B23 is similar to the content of the foregoing step B12 and can be simply analogized. The difference is that the loop exit condition for clustering changes from the maximum number of iterations to the clustering threshold, and the present application will not elaborate here. Also, in the embodiments of the present application, taking the clustering center determined by the second possibility mean clustering equal to 2, the first clustering center corresponding to the first rainfall data being greater than or equal to the rainfall threshold, and the second clustering center corresponding to the first rainfall data being less than the rainfall threshold as an example, there are a total of 4 categories of rainfall runoff generation at this time. The first category of rainfall runoff generation is that the soil is not fully saturated and the first rainfall data is less than the rainfall threshold; the second category of rainfall runoff generation is that the soil is not fully saturated and the first rainfall data is greater than or equal to the rainfall threshold; the third category of rainfall runoff generation is that the soil is fully saturated and the first rainfall data is less than the rainfall threshold; the fourth category of rainfall runoff generation is that the soil is fully saturated and the first rainfall data is greater than or equal to the rainfall threshold.

[0090] It is worth mentioning that the rainfall threshold in the embodiments of the present application can be set according to the actual situation. For example, any one of 30mm, 40mm, 100mm, etc.

[0091] Step 140: Perform category interval statistics on the historical runoff modulus according to the rainfall runoff generation category to obtain a runoff interval. Each runoff interval corresponds to one rainfall runoff generation category, and the runoff interval is used to represent the range interval composed of several historical runoff moduli;

[0092] In some embodiments, step 140: Perform category interval statistics on the historical runoff modulus according to the rainfall runoff generation category to obtain a runoff interval, including:

[0093] C1: Obtain several historical runoff moduli corresponding to the rainfall runoff generation category and a preset confidence level;

[0094] C2: Perform sample data calculation on several historical runoff moduli corresponding to the rainfall runoff generation category to obtain the sample mean and standard deviation corresponding to the rainfall runoff generation category;

[0095] C3: Perform confidence interval calculation on the sample mean and the standard deviation according to the confidence level to obtain the runoff interval.

[0096] In the embodiment of the present application, step C1 may be to obtain several historical runoff moduli corresponding to each rainfall-runoff category among all historical runoff moduli; the preset confidence level may be any one of 0.8, 0.9, 0.95, 0.98, etc. Step C2 may be to calculate the sample mean and standard deviation of several historical runoff moduli within each rainfall-runoff category. The sample mean is used to represent the average value of the historical runoff moduli within the corresponding rainfall-runoff category, while the standard deviation represents the degree of dispersion of the historical runoff moduli within the corresponding rainfall-runoff category.

[0097] It can be understood that step C3 may be to determine the critical value of the confidence level in the normal distribution or the critical value of the t-distribution based on the confidence level, and calculate the confidence interval for the sample mean and standard deviation, so as to obtain the runoff interval for each rainfall-runoff category. Specifically, for the runoff interval corresponding to a certain rainfall-runoff category, it can be expressed as runoff interval = [sample mean - (standard error × critical value), sample mean + (standard error × critical value)].

[0098] Step 150: Evaluate the water storage increment of the water storage project for the second soil antecedent moisture data and the second rainfall data according to the rainfall-runoff category, the runoff interval, and the catchment area, so as to obtain the water storage increment evaluation result.

[0099] In the embodiment of the present application, the evaluation of the water storage increment of the water storage project for the second soil antecedent moisture data and the second rainfall data according to the rainfall-runoff category, the runoff interval, and the catchment area, so as to obtain the water storage increment evaluation result, includes:

[0100] D1: Match the second soil antecedent moisture data and the second rainfall data according to the rainfall-runoff category to obtain the target rainfall-runoff category;

[0101] D2: Screen the runoff interval according to the target rainfall-runoff category to obtain the upper and lower limits of the target runoff modulus;

[0102] D3: Calculate the water storage increment of the water storage project for the second rainfall data according to the upper and lower limits of the target runoff modulus and the catchment area, so as to obtain the water storage increment evaluation result.

[0103] In an embodiment of the present application, step D1 may be to determine a target runoff generation category corresponding to the actual rainfall event based on the second pre-rainfall soil water content data and the second rainfall data of the actual rainfall event by determining whether the second pre-rainfall soil water content data and the second rainfall data conform to the rainfall runoff generation category; step D2 may be to extract the lower limit value and the upper limit value of the runoff modulus of the corresponding runoff generation interval based on the target runoff generation category, and use the lower limit value and the upper limit value of the runoff modulus together as the upper and lower limit values of the target runoff modulus.

[0104] It can be understood that step D3 may be to calculate the water storage increment corresponding to the second pre-rainfall soil water content data and the second rainfall data based on the obtained upper limit value of the target runoff modulus, so as to obtain a water storage increment evaluation result. The equivalent expression for calculating the water storage increment may be:

[0105]

[0106] Wherein, is the water storage increment evaluation result; is the upper and lower limit values of the target runoff modulus, which includes the lower limit value and the upper limit value of the runoff modulus; is the second rainfall data; A is the catchment area of the water storage project.

[0107] Next, a water storage increment evaluation system based on runoff modulus proposed according to an embodiment of the present application will be described in detail with reference to the accompanying drawings.

[0108] Refer to Figure 2 , a water storage increment evaluation system based on runoff modulus proposed in an embodiment of the present application includes:

[0109] An acquisition module 101, configured to acquire the catchment area of the water storage project, the first pre-rainfall soil water content data and the first rainfall data of historical rainfall events, and the second pre-rainfall soil water content data and the second rainfall data of the actual rainfall event;

[0110] A processing module 102, configured to obtain a historical runoff modulus corresponding to the historical rainfall event according to the first rainfall data and the catchment area;

[0111] A division module 103, configured to divide the historical rainfall events into runoff generation categories according to the first rainfall data and the first pre-rainfall soil water content data to obtain rainfall runoff generation categories;

[0112] A statistics module 104, configured to perform category interval statistics on the historical runoff modulus according to the rainfall runoff generation category to obtain a runoff generation interval, and each runoff generation interval corresponds to a rainfall runoff generation category, and the runoff generation interval is used to represent a range interval composed of a plurality of historical runoff moduli;

[0113] An evaluation module 105 is configured to perform an evaluation on the water storage increment of the water storage project for the second pre-rainfall soil water content data and the second rainfall data according to the rainfall runoff generation category, the runoff interval, and the rainwater collection range, so as to obtain an evaluation result of the water storage increment.

[0114] It can be understood that the content in the above method embodiments is applicable to the system embodiments of the present application. The functions specifically implemented by the system embodiments of the present application are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those of the above method embodiments.

[0115] Refer to Figure 3 , an embodiment of the present application further provides a water storage increment evaluation device based on runoff modulus, including:

[0116] At least one processor 201;

[0117] At least one memory 202, configured to store at least one program;

[0118] When the at least one program is executed by the at least one processor 201, the at least one processor 201 implements the above method embodiments.

[0119] Similarly, it can be understood that the content in the above method embodiments is applicable to the device embodiments of the present application. The functions specifically implemented by the device embodiments of the present application are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those of the above method embodiments.

[0120] An embodiment of the present application further provides a computer-readable storage medium, in which a program executable by a processor 201 is stored, and the program executable by the processor 201 is used to implement the above method embodiments when executed by the processor 201.

[0121] Similarly, the content in the above method embodiments is applicable to the computer-readable storage medium embodiments of the present application. The functions specifically implemented by the computer-readable storage medium embodiments of the present application are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those of the above method embodiments.

[0122] In some alternative embodiments, the functions / operations recited in the block diagrams may not occur in the order presented in the operational illustrations. For example, depending on the functions / operations involved, two blocks shown in succession may actually be executed substantially simultaneously or the blocks may sometimes be executed in the reverse order. Further, the embodiments presented and described in the flowcharts of the present application are provided by way of example for the purpose of providing a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logical flows presented herein. Alternative embodiments are contemplated in which the order of various operations is altered and in which sub-operations described as part of a larger operation are executed independently.

[0123] Moreover, although the present application has been described in the context of functional modules, it should be understood that one or more of the functions and / or features may be integrated in a single physical device and / or software module unless otherwise stated to the contrary, or one or more functions and / or features may be implemented in separate physical devices or software modules. It should also be understood that a detailed discussion of the actual implementation of each module is not necessary for an understanding of the present application. Rather, the actual implementation of the module will be understood within the ordinary skill of an engineer, given the attributes, functions, and internal relationships of the various functional modules in the devices disclosed herein. Thus, those of ordinary skill in the art will be able to implement the present application as set forth in the claims without undue experimentation. It should also be understood that the particular concepts disclosed are illustrative only and are not intended to limit the scope of the present application, which is determined by the full scope of the appended claims and their equivalents.

[0124] If a function is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art or a part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present application. The foregoing storage medium includes: various media that can store program codes, such as a USB flash drive, a portable hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc.

[0125] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definable sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0126] More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, a computer-readable medium can even be paper or other suitable media on which a program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0127] It should be understood that various parts of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well-known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0128] In the above description of this specification, the description referring to terms such as "one embodiment / example", "another embodiment / example", or "certain embodiments / examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0129] Although embodiments of the present application have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present application. The scope of the present application is defined by the claims and their equivalents.

[0130] The above is a specific description of the preferred embodiments of the present application, but the present application is not limited to the embodiments. Those skilled in the art can make various equivalent deformations or substitutions without departing from the spirit of the present application, and these equivalent deformations or substitutions are all included within the scope defined by the claims of the present application.

Claims

1. A method for evaluating the incremental storage volume based on runoff modulus, characterized in that, Including: Obtaining the rainwater collection range of the water storage project, the first soil pre - rainfall water content data and the first rainfall data of historical rainfall events, as well as the second soil pre - rainfall water content data and the second rainfall data of the actual rainfall event, where the actual rainfall event is used to represent a continuous rainfall event within the rainwater collection range of the water storage project during the current time period; Obtaining the historical runoff modulus corresponding to the historical rainfall event according to the first rainfall data and the rainwater collection range, where the historical runoff modulus is used to represent the water storage increment generated per unit area and per unit rainfall in the corresponding historical rainfall events within the rainwater collection range of the water storage project; Classifying the historical rainfall events into runoff types according to the first rainfall data and the first soil pre - rainfall water content data to obtain rainfall runoff types; Statistically analyzing the historical runoff modulus by type intervals according to the rainfall runoff types to obtain runoff intervals, where each runoff interval corresponds to one rainfall runoff type, and the runoff interval is used to represent a range interval composed of several historical runoff moduli; Evaluating the water storage increment of the water storage project for the second soil pre - rainfall water content data and the second rainfall data according to the rainfall runoff types, the runoff intervals and the rainwater collection range to obtain a water storage increment evaluation result; The step of classifying the historical rainfall events into runoff types according to the first rainfall data and the first soil pre - rainfall water content data to obtain rainfall runoff types includes: Classifying the historical rainfall events into soil water content types according to the first soil pre - rainfall water content data to obtain rainfall soil types; Classifying the rainfall soil types into rainfall types according to the first rainfall data to obtain the rainfall runoff types; The step of evaluating the water storage increment of the water storage project for the second soil pre - rainfall water content data and the second rainfall data according to the rainfall runoff types, the runoff intervals and the rainwater collection range to obtain a water storage increment evaluation result includes: Matching the second soil pre - rainfall water content data and the second rainfall data to the rainfall runoff types to obtain a target runoff type; Selecting the modulus within the runoff intervals according to the target runoff type to obtain the upper and lower limits of the target runoff modulus; Calculating the water storage increment of the water storage project for the second rainfall data according to the upper and lower limits of the target runoff modulus and the rainwater collection range to obtain the water storage increment evaluation result.

2. The method for evaluating the increment of water storage based on runoff modulus according to claim 1, wherein The step of obtaining the historical runoff modulus corresponding to the historical rainfall event according to the first rainfall data and the rainwater collection range includes: Obtaining the historical water storage increment of the water storage project, where the historical water storage increment corresponds to the historical rainfall event; Calculating the modulus of the first rainfall data according to the historical water storage increment and the rainwater collection range to obtain the historical runoff modulus.

3. The method for evaluating the incremental storage based on runoff modulus according to claim 1, wherein The step of classifying the historical rainfall events into soil water content types according to the first soil pre - rainfall water content data to obtain rainfall soil types includes: Obtaining a preset maximum number of iterations; Perform a first possibility mean clustering on the historical rainfall events according to the maximum number of iterations and the first soil antecedent moisture data to obtain the rainfall soil categories.

4. The method for evaluating the increment of water storage based on runoff modulus according to claim 1, characterized in that, The rainfall runoff categories are obtained by classifying the rainfall soil categories according to the first rainfall data, including: Obtain a preset clustering threshold; Perform mapping screening on the first rainfall data according to the rainfall soil categories to obtain intermediate rainfall data corresponding to the rainfall soil categories; Perform a second possibility mean clustering on the rainfall soil categories according to the clustering threshold and the intermediate rainfall data to obtain the rainfall runoff categories.

5. The method for evaluating the incremental storage based on the runoff modulus according to claim 1, characterized in that, The runoff intervals are obtained by statistically analyzing the historical runoff moduli according to the rainfall runoff categories, including: Obtain a number of historical runoff moduli corresponding to the rainfall runoff categories and a preset confidence level; Perform sample data calculations on the number of historical runoff moduli corresponding to the rainfall runoff categories to obtain the sample mean and standard deviation corresponding to the rainfall runoff categories; Calculate the confidence interval for the sample mean and the standard deviation according to the confidence level to obtain the runoff interval.

6. A storage increment evaluation system based on runoff modulus, characterized in that, Including: An acquisition module for acquiring the catchment area of the water storage project, the first soil antecedent moisture data and the first rainfall data of historical rainfall events, and the second soil antecedent moisture data and the second rainfall data of actual rainfall events, where the actual rainfall events are used to represent continuous rainfall events within the current time period in the catchment area of the water storage project; A processing module for obtaining the historical runoff modulus corresponding to the historical rainfall events according to the first rainfall data and the catchment area, where the historical runoff modulus is used to represent the water storage increment generated per unit area and per unit rainfall in the corresponding historical rainfall events of the water storage project within the catchment area; A classification module for classifying the historical rainfall events into runoff categories according to the first rainfall data and the first soil antecedent moisture data to obtain the rainfall runoff categories; A statistical module for statistically analyzing the historical runoff moduli according to the rainfall runoff categories to obtain runoff intervals, where each runoff interval corresponds to one of the rainfall runoff categories, and the runoff interval is used to represent the range interval composed of a number of the historical runoff moduli; An evaluation module for evaluating the water storage increment of the water storage project for the second soil antecedent moisture data and the second rainfall data according to the rainfall runoff categories, the runoff intervals and the catchment area to obtain a water storage increment evaluation result; The rainfall runoff categories are obtained by classifying the historical rainfall events into runoff categories according to the first rainfall data and the first soil antecedent moisture data, including: Classify the historical rainfall events into soil moisture categories according to the first soil antecedent moisture data to obtain the rainfall soil categories; Classify the rainfall soil categories according to the first rainfall data to obtain the rainfall runoff categories; Performing an evaluation of the water storage increment of a water storage project on the second soil antecedent moisture data and the second rainfall data according to the rainfall runoff category, the runoff interval, and the rainwater collection range, to obtain a water storage increment evaluation result, including: Performing a runoff category matching on the second soil antecedent moisture data and the second rainfall data according to the rainfall runoff category, to obtain a target runoff category; Performing a modulus screening on the runoff interval according to the target runoff category, to obtain upper and lower limits of the target runoff modulus; Calculating the water storage increment of the water storage project on the second rainfall data according to the upper and lower limits of the target runoff modulus and the rainwater collection range, to obtain the water storage increment evaluation result.

7. An evaluation device for water storage increment based on runoff modulus, characterized in that, Including: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, enabling the at least one processor to implement the method according to any one of claims 1-5.

8. A computer-readable storage medium storing a program executable by a processor, characterized in that, The program executable by the processor, when executed by the processor, is used to implement the method according to any one of claims 1-5.

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