Method and system for evaluating rain receiving capacity of small reservoir

Abstract

The invention discloses a method and system for evaluating the rain receiving capacity of a small reservoir, and belongs to the technical field of the rain receiving capacity of the reservoir. The method comprises the following steps: for a target small reservoir, preprocessing system database data and historical result data of the target small reservoir to obtain target data; according to the target data, constructing a rain receiving capability evaluation model, and obtaining meteorological grid forecast rainfall data of the target small reservoir and the drainage basin where the target small reservoir is located in real time; according to the meteorological grid forecast rainfall data, calculating runoff production and confluence data of the target small reservoir in a forecast time period in real time; and inputting the runoff production and confluence data into the rain receiving capability evaluation model for calculation so as to determine the rain receiving capability of the target small reservoir under the current forecast meteorological condition. The method has the advantages that parameters are simple and convenient to implement, the future rainfall duration can be designated, and short-time heavy rainfall analysis is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of reservoir rainwater intake capacity, and more specifically, to a method and system for evaluating the rainwater intake capacity of small reservoirs. Background Art

[0002] Calculating the rainwater intake capacity of reservoirs helps improve the efficiency and accuracy of flood control emergency dispatch decisions. By comparing and analyzing different algorithms, such as those based on discharge curves and algorithms that do not consider water discharge, the rainwater intake capacity of reservoirs can be estimated more accurately, so as to quickly estimate the range of rainwater intake capacity during the actual flood control process in the flood season, effectively improve the efficiency of early warning issuance, provide data support for the actual dispatch operations of reservoirs and flood control departments, and comprehensively enhance the flood control safety ability of reservoirs.

[0003] Small reservoirs also play an important role in flood control. Since small reservoirs do not have historical data, it is impossible to carry out scheme calibration. At the same time, the small reservoir basin has a small range and a short confluence time, so it is necessary to develop a simple and easy-to-use special model. Summary of the Invention

[0004] In view of the above problems, the present invention proposes a method for evaluating the rainwater intake capacity of small reservoirs, including:

[0005] For a target small reservoir, obtain the system database data and historical result data of the target small reservoir, and preprocess the system database data and historical result data of the target small reservoir to obtain target data;

[0006] According to the target data, construct a rainwater intake capacity evaluation model, and obtain in real time the meteorological grid forecast rainfall data of the basin where the target small reservoir is located;

[0007] According to the meteorological grid forecast rainfall data, calculate in real time the runoff generation and confluence data of the target small reservoir during the forecast period;

[0008] Input the runoff generation and confluence data into the rainwater intake capacity evaluation model for calculation to determine the rainwater intake capacity of the target small reservoir under the current forecast meteorological conditions.

[0009] Optionally, the system database data includes: real-time monitoring data for the target small reservoir;

[0010] The real-time monitoring data includes: real-time rainfall and water regime data of the basin where the target small reservoir is located, basin meteorological grid data, runoff generation and confluence data.

[0011] Optionally, the historical result data includes:

[0012] Reservoir characteristic data, reservoir sub-basin data and historical water level data of the target small reservoir.

[0013] Optionally, preprocess the system database data and historical achievement data of the target small reservoir to obtain target data, including:

[0014] After cleaning, de-duplicating and complementing the system database data and historical achievement data of the target small reservoir, generate the to-be-processed system database data and to-be-processed historical achievement data. For the to-be-processed system database data, perform grid calculation to generate the relationship data of rainfall, runoff generation and confluence of the target small reservoir. For the to-be-processed historical achievement data, perform feature extraction to generate feature data, and use the relationship data and feature data as target data;

[0015] The feature data includes:

[0016] Storage capacity relationship curve, discharge relationship curve, reservoir basin shape feature data and inflow and outflow data.

[0017] Optionally, construct a flood forecasting model according to the target data, including:

[0018] Based on a preset distributed forecasting model, construct a rainfall acceptance capacity evaluation model applicable to the target small reservoir according to the basin data divided for the target small reservoir;

[0019] Adjust the relationship data of runoff generation and confluence in the target data through the surface water holding capacity data;

[0020] The rainfall acceptance capacity evaluation model adjusts the model parameters of the rainfall acceptance capacity evaluation model through the adjusted target data.

[0021] Optionally, the method further includes:

[0022] Under the determined current forecast meteorological conditions, calculate the rainfall acceptance capacity of the target small reservoir, deduce whether the rainfall can cause disasters, and issue a warning.

[0023] Optionally, the method further includes: comparing the output data of the rainfall acceptance capacity evaluation model with the actual water acceptance capacity of the target small reservoir, and adjusting the model parameters of the rainfall acceptance capacity evaluation model through the comparison result to optimize the accuracy of the rainfall acceptance capacity evaluation model.

[0024] Optionally, the method further includes: constructing a runoff generation and confluence model;

[0025] Among them, through the runoff generation and confluence model, calculate the runoff generation and confluence data of the target small reservoir during the forecast period in real time according to the meteorological grid forecast rainfall data;

[0026] The runoff generation and concentration data are respectively used for calculating the net water volume and the concentrated water volume.

[0027] Optionally, the method further includes:

[0028] Calculating the net rainfall based on the excess infiltration / saturation runoff generation method;

[0029] Increasing the concentration loss coefficient, and calculating the concentrated water volume based on the concentration loss coefficient.

[0030] On the other hand, the present invention also provides a system for evaluating the rainwater intake capacity of a small reservoir, and the system includes:

[0031] A data acquisition unit, configured to obtain the system database data and historical result data of the target small reservoir for the target small reservoir, and preprocess the system database data and historical result data of the target small reservoir to obtain target data;

[0032] A modeling unit, configured to construct a rainwater intake capacity evaluation model according to the target data, and real-time obtain the meteorological grid forecast rainfall data of the basin where the target small reservoir is located;

[0033] A calculation unit, configured to calculate the runoff generation and concentration data for the target small reservoir during the forecast period in real time according to the meteorological grid forecast rainfall data;

[0034] An evaluation unit, configured to input the runoff generation and concentration data into the rainwater intake capacity evaluation model for calculation to determine the rainwater intake capacity of the target small reservoir under the current forecast meteorological conditions.

[0035] Compared with the prior art, the beneficial effects of the present invention are:

[0036] The present invention provides a method for evaluating the rainwater intake capacity of a small reservoir. The method includes: for a target small reservoir, obtaining the system database data and historical result data of the target small reservoir, and preprocessing the system database data and historical result data of the target small reservoir to obtain target data; constructing a rainwater intake capacity evaluation model according to the target data, and real-time obtaining the meteorological grid forecast rainfall data of the basin where the target small reservoir is located; calculating the runoff generation and concentration data for the target small reservoir during the forecast period in real time according to the meteorological grid forecast rainfall data; inputting the runoff generation and concentration data into the rainwater intake capacity evaluation model for calculation to determine the rainwater intake capacity of the target small reservoir under the current forecast meteorological conditions. The present invention has the characteristics of simple parameters and convenient implementation, and at the same time can specify the future rainfall duration, which is convenient for short-term heavy rainfall analysis. Description of the Drawings

[0037] Figure 1It is a flowchart of the method of the present invention;

[0038] Figure 2 It is a structural diagram of the system of the present invention. Detailed implementation manners

[0039] Now, exemplary embodiments of the present invention will be described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely, and to fully convey the scope of the present invention to those skilled in the art. The terms in the exemplary embodiments shown in the drawings are not limitations on the present invention. In the drawings, the same units / components are denoted by the same reference numerals.

[0040] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the ordinary meaning understood by those skilled in the art. Additionally, it can be understood that terms defined in a commonly used dictionary should be construed to have a meaning consistent with the context of their relevant fields, and should not be construed as having an idealized or overly formal meaning.

[0041] The present invention proposes a method for evaluating the rainwater intake capacity of small reservoirs, as Figure 1 shown, including:

[0042] Step 1: For the target small reservoir, obtain the system database data and historical result data of the target small reservoir, and preprocess the system database data and historical result data of the target small reservoir to obtain target data;

[0043] Step 2: According to the target data, construct a rainwater intake capacity evaluation model, and obtain in real time the meteorological grid forecast rainfall data of the basin where the target small reservoir is located;

[0044] Step 3: According to the meteorological grid forecast rainfall data, calculate in real time the runoff generation and confluence data of the target small reservoir during the forecast period;

[0045] Step 4: Input the runoff generation and confluence data into the rainwater intake capacity evaluation model for calculation to determine the rainwater intake capacity of the target small reservoir under the current forecast meteorological conditions.

[0046] Among them, the system database data includes: real-time monitoring data for the target small reservoir;

[0047] The real-time monitoring data includes: real-time rain and water regime data of the basin where the target small reservoir is located, basin meteorological grid data, runoff generation and confluence data.

[0048] Among them, the historical result data includes:

[0049] The reservoir characteristic data, reservoir sub-basin data, and historical water level data of the target small reservoir.

[0050] Among them, the system database data and historical result data of the target small reservoir are preprocessed to obtain target data, including:

[0051] After cleaning, deduplicating, and complementing the system database data and historical result data of the target small reservoir, the to-be-processed system database data and to-be-processed historical result data are generated. For the to-be-processed system database data, grid computing is performed to generate the relationship data of rainfall, runoff generation, and confluence of the target small reservoir. For the to-be-processed historical result data, feature extraction is performed to generate feature data, and the relationship data and feature data are used as target data;

[0052] The feature data includes:

[0053] Storage capacity relationship curve, discharge relationship curve, reservoir basin shape feature data, and inflow and outflow discharge data.

[0054] Among them, according to the target data, a flood forecasting model is constructed, including:

[0055] Based on a preset distributed forecasting model, according to the basin data divided for the target small reservoir, a rainwater intake capacity assessment model applicable to the target small reservoir is constructed;

[0056] The relationship data of runoff generation and confluence in the target data is adjusted through the surface water holding capacity data;

[0057] The rainwater intake capacity assessment model adjusts the model parameters of the rainwater intake capacity assessment model through the adjusted target data.

[0058] Among them, the method further includes:

[0059] Under the determined current forecast meteorological conditions, the rainwater intake capacity of the target small reservoir is calculated to infer whether rainfall can cause disasters and issue a warning.

[0060] Among them, the method further includes: comparing the output data of the rainwater intake capacity assessment model with the actual water intake capacity of the target small reservoir, and adjusting the model parameters of the rainwater intake capacity assessment model through the comparison result to optimize the accuracy of the rainwater intake capacity assessment model.

[0061] Among them, the method further includes: constructing a runoff generation and confluence model;

[0062] Among them, through the runoff generation and confluence model, according to the meteorological grid forecast rainfall data, the runoff generation and confluence data of the target small reservoir during the forecast period are calculated in real time;

[0063] The runoff generation and concentration data are respectively used for the calculation of net water volume and concentrated water volume.

[0064] Among them, the method further includes:

[0065] Based on the excess infiltration / saturation runoff generation method, calculate the net rainfall;

[0066] Increase the concentration loss coefficient, and calculate the concentrated water volume based on the concentration loss coefficient.

[0067] The following describes the data sources, construction of thematic databases, reservoir inflow forecast calculations, etc. of the present invention:

[0068] Data sources:

[0069] The data sources mainly include system database data and historical result data.

[0070] The database data is mainly connected to the real-time monitoring information of small reservoirs, such as real-time rainfall and water conditions, and basin meteorological grid data, providing a reliable rainfall data source for model calculation and analysis.

[0071] The historical result data mainly includes the basic information of the reservoir and historical data.

[0072] (1) Collect reservoir characteristic data:

[0073] It is necessary to collect the storage capacity relationship curve, discharge relationship curve, other characteristic value information, etc.

[0074] (2) Extract reservoir sub-basins:

[0075] Due to the different shapes of reservoir basins, it is necessary to extract the upstream and downstream sub-basins to deal with different rainfall center distributions.

[0076] (3) Historical data processing:

[0077] 1) Conduct a gridded analysis of historical rainfall in Liaoning Province, and calculate historical rainfall information in combination with the boundary of the reservoir sub-basin;

[0078] 2) According to the historical water level monitoring data of the reservoir, calculate the historical inflow information based on the outflow.

[0079] (4) Construction of reservoir forecast schemes and parameter calibration:

[0080] 1) Use the distributed Xin'anjiang model and combine with the division of the reservoir sub-basin to construct a forecast scheme;

[0081] 2) Use the processed historical data for model parameter calibration.

[0082] Construction of thematic databases:

[0083] Build a flood forecasting result database and a heavy rain resistance ability result database to provide data storage, analysis, and calculation. Provide a standard library table structure for the business analysis and calculation of small reservoirs and the data call of subsequent business platforms.

[0084] Reservoir inflow forecasting calculation service:

[0085] The system integrates multiple models such as the distributed Xin'anjiang model, rainfall-runoff correlation diagram, Muskingum method, and geomorphic unit hydrograph, and has functions such as automatic timed forecasting, manual intervention interactive forecasting, and real-time correction, providing "forecasting and early warning" services for disaster prevention and mitigation. Connect to grid rainfall meteorological data and support the output of forecasting result data. It mainly includes meteorological precipitation numerical forecasting, forecasting model construction, forecasting scheme management, flood forecasting management, etc.

[0086] Forecasting model construction:

[0087] The flood forecasting model selection mainly focuses on the construction of the Xin'anjiang model and the rainfall-runoff model.

[0088] Classify according to the models incorporated into the system, separate the models, interfaces, data, and services, adopt object-oriented technology to standardize the input and output interfaces of various models, and formulate a unified encapsulation technology standard.

[0089] Connect to the meteorological precipitation numerical forecasting function within the small reservoir basin, develop data synchronization software, and achieve synchronization with the 3km grid numerical forecasting results of the meteorological bureau.

[0090] Special rainfall intake capacity analysis model for small reservoirs:

[0091] Runoff generation: According to the maximum soil water storage capacity (Im) of each reservoir basin, combined with the antecedent precipitation index, adopt the full storage runoff generation method to calculate the net rainfall.

[0092] Confluence: Adopt the instantaneous unit hydrograph calculation principle. Only by adjusting two parameters, namely the "number of serial reservoirs" and the "reservoir regulation parameter", the basin confluence process can be simulated. Considering that there is a certain loss of water volume during the confluence process, a loss coefficient is added to adjust the confluence water volume.

[0093] This model has simple parameters, known runoff generation parameters, and easy-to-adjust confluence parameters, which is convenient for implementation. Moreover, the future rainfall duration can be specified, facilitating the analysis of short-term heavy rainfall.

[0094] Based on rainfall forecasting data, develop runoff generation and confluence models.

[0095] Runoff generation:

[0096] Based on the maximum water storage capacity (Im) of the soil in each reservoir basin, combined with the antecedent precipitation index, the concept of surface water retention is added. Considering surface water retention and underground seepage, by setting the surface water retention and infiltration rate, the excess infiltration / saturation overland flow method can be adopted to calculate the net rainfall amount.

[0097] Confluence:

[0098] Using the instantaneous unit hydrograph calculation principle, only by adjusting two parameters, namely "the number of serial reservoirs" and "reservoir regulation parameters", the basin confluence process can be simulated.

[0099] Considering that there is a certain loss of water volume during the confluence process, a loss coefficient is added to adjust the confluence water volume.

[0100] Forecast scheme management:

[0101] The scheme forecast is used for business personnel to construct single-node schemes for reservoirs. It includes parts such as establishing a forecast scheme without a forecast scheme, establishing a new scheme for stations with existing forecast schemes, and parameter calibration of existing forecast schemes, and provides functions such as scheme construction and forecast scheme management.

[0102] (1) Scheme construction: Through processes such as selecting forecast stations, selecting inflows, delineating catchment areas, selecting forecast models, selecting river stations, and rain gauge stations, the scheme construction is completed.

[0103] (2) Forecast scheme management:

[0104] Functions such as editing the scheme, editing parameters, editing scheme descriptions, copying the scheme, exporting rain gauge stations, exporting basin shp files, deleting the scheme, and copying basin coordinates are realized.

[0105] The selection of flood forecast models mainly focuses on the construction of the Xin'anjiang model and the rainfall-runoff model.

[0106] According to the models incorporated into the system, the models, interfaces, data, and services are separated. The input and output interfaces of various models are standardized using object-oriented technology, and a unified encapsulation technology standard is formulated.

[0107] Reservoir inflow forecast:

[0108] It supports reservoir inflow forecasting for stations with existing forecast schemes, and during the forecasting process, the model parameter calibration is adjusted. Functions such as lead time setting, operational forecasting, and forecast data management are provided.

[0109] (1) Lead time setting: According to the calibration situation and combined with the measured data, the lead time can be set to improve the forecasting accuracy and ensure that the lead time is 8 - 12 hours or more.

[0110] (2) Operation Forecast: Forecast based on the measured rainfall information and the future rainfall forecast information, support on-site parameter adjustment and trial calculation by operational staff, conduct flood event analysis, and at the same time, relevant parameters can be preset, select the schemes that need to be automatically forecasted, and forecast the flood flow process.

[0111] (3) Forecast Data Management: Comprehensively manage the forecast schemes, provide convenient query services, and provide reference for adjusting the important parameters of flood forecasting.

[0112] Analysis of the rainstorm resistance ability of small reservoirs:

[0113] Determine a suitable calculation method for the rainstorm resistance ability, effectively access the forecast information, provide services such as site selection and information query. The rainstorm resistance ability analysis makes full use of the short-term forecast rainfall data and short-term flood forecast results information of the sites, uses the trial calculation method and combines parameter analysis to conduct the forecast and operation of reservoir sites, complete the result statistics of the rainstorm resistance ability, generate relevant operation schemes through the assessment of result accuracy, provide data interfaces for subsequent model applications and reservoir joint operation, and support reservoir operation decision-making and operation safety.

[0114] It mainly includes content such as access to forecast information, site selection, information query, rainstorm resistance ability analysis, result statistics, and accuracy assessment.

[0115] The advantages of the present invention are as follows:

[0116] The present invention is used for quickly and continuously rolling forecasting a large number of small reservoirs during the actual disaster prevention and mitigation process. Combining the basin characteristics, runoff generation and concentration characteristics, and natural outflow characteristics of small reservoirs, using the meteorological grid forecast rainfall data as the forecast input, and rolling calculating the water level change process of small reservoirs within the next 72 hours. Analyze the flood occurrence time and peak water level of small reservoirs through this process, and combine the flood control indicators of small reservoirs to achieve disaster prevention and mitigation of small reservoirs.

[0117] Strong pertinence, focusing on analyzing the factors that have a greater impact on runoff generation and concentration of small reservoirs as key parameters.

[0118] Simplify the calculation process and improve the calculation efficiency to meet the rapid forecasting of a large number of small reservoirs.

[0119] Utilize the front-end and back-end separation design to achieve rapid forecasting and result display.

[0120] In the present invention:

[0121] Calculation of rainwater storage capacity. Through the forecasted highest water levels under assumed rainfall of 7 magnitudes (0.1mm, 25mm, 50mm, 100mm, 200mm, 300mm, 500mm), form a dynamic rainfall-water level correspondence table, and reverse interpolate the rainwater storage capacity of the reservoir flood control limited water level, guaranteed water level, and check water level.

[0122] For the early warning of the future reservoir situation, for the early warning of characteristic water levels, the method of comparing the predicted highest water level with the characteristic water levels is adopted for early warning. The rainwater intake capacity early warning combines the coefficient ratio of the reservoir storage capacity and the discharge capacity of different reservoirs with the rainwater intake early warning index to form a more targeted rainwater intake early warning system for small reservoirs.

[0123] Real-time rolling calculation. Since this method is simple and convenient, the calculation process is rapid, and a large number of prerequisite elements required for calculation have been completed through regular calculation, this application can perform 24-hour rolling rapid calculation of the prediction process and rainwater intake capacity of all small reservoirs and analyze the early warning situation, thereby improving the timeliness of reservoir flood control.

[0124] The present invention provides water level data and rainfall data (real-time rainfall or predicted rainfall can be automatically selected according to the calibration or trial calculation period), and assumed rainfall can be specified by the user as needed. The rainfall pattern distribution of the assumed rainfall is enlarged or reduced proportionally according to the real-time rainfall or predicted rainfall pattern. Simulation calculations are performed according to the daily recession coefficient, confluence loss coefficient, number of serial reservoirs, and reservoir regulation parameters specified by the user. The calculation results include the highest water level and the water level change process generated within the next 72 hours under the current rainfall conditions, and the rainwater intake capacity corresponding to different reservoir water level characteristic indicators. It is presented intuitively in the form of tables and graphs to help users intuitively understand the future water level change process of the reservoir corresponding to the results generated by this rainfall process.

[0125] The present invention also proposes a system 200 for evaluating the rainwater intake capacity of small reservoirs, as Figure 2 shown, including:

[0126] A data acquisition unit 201, configured to obtain the system database data and historical result data of the target small reservoir for the target small reservoir, and preprocess the system database data and historical result data of the target small reservoir to obtain target data;

[0127] A modeling unit 202, configured to construct a rainwater intake capacity evaluation model according to the target data, and real-time obtain the meteorological grid forecast rainfall data of the basin where the target small reservoir is located;

[0128] A calculation unit 203, configured to calculate the runoff generation and confluence data of the target small reservoir during the forecast period in real time according to the meteorological grid forecast rainfall data;

[0129] An evaluation unit 204, configured to input the runoff generation and confluence data into the rainwater intake capacity evaluation model for calculation to determine the rainwater intake capacity of the target small reservoir under the current forecast meteorological conditions.

[0130] The present invention has the characteristics of simple and convenient implementation of parameters, and at the same time, the future rainfall duration can be specified, which is convenient for analyzing short-term heavy rainfall.

[0131] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory. The memory is used to store a computer program, and the computer program includes program instructions. The processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of the method in the above embodiments.

[0132] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in a computer device and is used to store programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and, of course, the extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, and this storage space stores the operating system of the terminal. And, one or more instructions suitable for being loaded and executed by the processor are also stored in this storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The one or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor to implement the steps of the method in the above embodiments.

[0133] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code. The solutions in the embodiments of the present invention can be implemented in various computer languages. For example, object-oriented programming languages such as Java and interpreted scripting languages such as JavaScript, etc.

[0134] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0135] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0136] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0137] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concepts. Therefore, the appended claims are intended to be construed as including the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0138] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for evaluating the rainwater intake capacity of a small reservoir, characterized in that, The method includes: For a target small reservoir, obtaining the system database data and historical result data of the target small reservoir, and preprocessing the system database data and historical result data of the target small reservoir to obtain target data; According to the target data, constructing a rainwater intake capacity evaluation model, and real-time obtaining the meteorological grid forecast rainfall data of the basin where the target small reservoir is located; According to the meteorological grid forecast rainfall data, calculating in real time the runoff generation and confluence data of the target small reservoir during the forecast period; Inputting the runoff generation and confluence data into the rainwater intake capacity evaluation model for calculation to determine the rainwater intake capacity of the target small reservoir under the current forecast meteorological conditions.

2. The method according to claim 1, wherein The system database data includes: real-time monitoring data for the target small reservoir; The real-time monitoring data includes: real-time rain and water situation data of the basin where the target small reservoir is located, basin meteorological grid data, runoff generation and confluence data.

3. The method according to claim 1, wherein The historical result data includes: Reservoir characteristic data, reservoir sub-basin data and historical water level data of the target small reservoir.

4. The method according to claim 1, wherein The preprocessing of the system database data and historical result data of the target small reservoir to obtain target data includes: After cleaning, de-duplicating and complementing the system database data and historical result data of the target small reservoir, generating the to-be-processed system database data and to-be-processed historical result data. For the to-be-processed system database data, performing gridding calculation to generate the relationship data of rainfall, runoff generation and confluence of the target small reservoir. For the to-be-processed historical result data, performing feature extraction to generate feature data, and using the relationship data and feature data as target data; The feature data includes: Storage capacity relationship curve, discharge relationship curve, reservoir basin shape characteristic data and inflow and outflow discharge data.

5. The method according to claim 1, wherein The constructing a flood forecast model according to the target data includes: Based on a preset distributed forecast model, constructing a rainwater intake capacity evaluation model applicable to the target small reservoir according to the basin data divided for the target small reservoir; Adjusting the runoff generation and confluence relationship data in the target data through surface water holding capacity data; the rainwater intake capacity evaluation model adjusts the model parameters of the rainwater intake capacity evaluation model through the adjusted target data.

6. The method according to claim 1, characterized in that, The method further includes: Calculating whether the rainfall can cause disasters based on the determined rainwater intake capacity of the target small reservoir under the current forecast meteorological conditions, and issuing a warning.

7. The method according to claim 1, characterized in that, The method further includes: comparing the output data of the rainwater intake capacity evaluation model with the actual water intake capacity of the target small reservoir, and adjusting the model parameters of the rainwater intake capacity evaluation model through the comparison result to optimize the accuracy of the rainwater intake capacity evaluation model.

8. The method according to claim 1, characterized in that, The method further includes: constructing a runoff generation and confluence model; Wherein, through the runoff generation and confluence model, calculating in real time the runoff generation and confluence data of the target small reservoir during the forecast period according to the meteorological grid forecast rainfall data; The runoff generation and confluence data are respectively used for calculating the net water volume and the confluent water volume.

9. The method according to claim 8, wherein The method further includes: Based on the excess infiltration / saturation excess runoff generation method, calculate the net rainfall amount; Increase the runoff concentration loss coefficient, and based on the runoff concentration loss coefficient, calculate the runoff concentration water volume.

10. A system for evaluating the rainwater intake capacity of a small reservoir, characterized in that, The system includes: A data acquisition unit, which is used to obtain the system database data and historical result data of the target small reservoir for the target small reservoir, and preprocess the system database data and historical result data of the target small reservoir to obtain target data; A modeling unit, which is used to construct a rainfall acceptance capacity evaluation model according to the target data, and real-time obtain the meteorological grid forecast rainfall data of the basin where the target small reservoir is located; A calculation unit, which is used to calculate the runoff generation and runoff concentration data of the target small reservoir during the forecast period in real time according to the meteorological grid forecast rainfall data; An evaluation unit, which is used to input the runoff generation and runoff concentration data into the rainfall acceptance capacity evaluation model for calculation to determine the rainfall acceptance capacity of the target small reservoir under the current forecast meteorological conditions.

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