Ecological flow control target decomposition method, system, equipment and medium

Abstract

The present invention discloses a method, system, device and medium for decomposing an ecological flow control target, wherein the method divides the main stream flow data set into stages within a year to obtain several main stream stage data sets, and divides the tributary flow data set into stages within a year to obtain several tributary stage data sets; according to the main stream ecological flow control target, the main stream stage data set is identified for key intrinsic modes to obtain the main stream key mode data; according to the main stream key mode data, the tributary stage data set is analyzed for contribution to obtain the tributary ecological flow contribution; according to the main stream ecological flow control target, the ecological flow contribution of all the tributaries is decomposed for ecological flow to obtain the ecological flow decomposition result. This method can effectively improve the coordination and rationality of ecological flow decomposition. The present invention can be widely used in the field of ecohydrological technology.

Description

Technical Field

[0001] The present invention relates to the field of ecohydrological technology, and in particular to an ecological flow control target decomposition method, system, equipment and medium. Background Art

[0002] River ecological flow is the water flow required to maintain the health of the river and its ecosystem. In order to facilitate the management and control of ecological flow, key control sections of the river are generally selected to formulate ecological flow control targets.

[0003] At present, the traditional method of decomposing ecological flow control targets is usually to formulate ecological flow control targets separately based on the hydrological observation data of the main and tributary sections and the ecological protection needs. However, since each tributary of the river is affected by different precipitation and topography, the runoff processes between different tributaries and between the main stream and tributaries are not synchronized, the coordination of ecological flow control targets between the main and tributary rivers is poor and the rationality is not satisfactory.

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

[0005] The purpose of the present invention is to solve one of the technical problems existing in the related art to at least a certain extent.

[0006] To this end, an object of an embodiment of the present invention is to provide an ecological flow control target decomposition method, which can effectively improve the coordination and rationality of ecological flow decomposition.

[0007] Another object of an embodiment of the present application is to provide an ecological flow control target decomposition system.

[0008] In order to achieve the above technical objectives, the technical solutions adopted by the embodiments of the present application include:

[0009] In a first aspect, an embodiment of the present application provides an ecological flow control target decomposition method, including:

[0010] Obtain mainstream flow data sets, tributary flow data sets and mainstream ecological flow control targets within the river catchment area;

[0011] Divide the main stream flow data set into stages within a year to obtain a plurality of main stream stage data sets, and divide the tributary flow data set into stages within a year to obtain a plurality of tributary stage data sets, each of the main stream stage data sets is in a different stage time period, and each of the main stream stage data sets corresponds to a plurality of tributary stage data sets;

[0012] According to the main stream ecological flow control target, key intrinsic mode identification is performed on the main stream stage data set to obtain the main stream key mode data;

[0013] According to the key modal data of the main stream, the contribution analysis of the tributary stage data set is performed to obtain the ecological flow contribution of the tributary;

[0014] According to the main stream ecological flow control target, the ecological flow contribution of all the tributaries is decomposed to obtain the ecological flow decomposition result.

[0015] In addition, the ecological flow control target decomposition method according to the above embodiment of the present application may also have the following additional technical features:

[0016] Furthermore, in one embodiment of the present application, the target traffic data set is divided into annual stages to obtain a target staged data set, including:

[0017] Obtaining a preset period division condition, wherein the period division condition includes any one of a seasonal division condition, a flood and dry season division condition, or a time clustering division condition;

[0018] Dividing the target traffic data set into time periods according to the period division condition to obtain the target phased data set;

[0019] Among them, the target flow data set is the main stream flow data set or the tributary flow data set, the target stage data set is the main stream stage data set or the tributary stage data set, and the target stage data set corresponds to the target flow data set.

[0020] Further, in one embodiment of the present application, according to the main stream ecological flow control target, the key intrinsic mode identification is performed on the main stream stage data set to obtain the main stream key mode data, including:

[0021] Performing a first time characteristic decomposition on the main stream stage data set to obtain a plurality of main stream decomposition eigenmodes;

[0022] According to the main stream ecological flow control target, the main stream decomposition eigenmode is subjected to matching degree analysis to obtain the main stream matching degree result, each main stream matching degree result corresponds to one main stream decomposition eigenmode;

[0023] According to the mainstream matching result, all the mainstream decomposition eigenmodes are subjected to mainstream modal screening to obtain the mainstream key modal data.

[0024] Further, in one embodiment of the present application, the matching degree analysis of the decomposed intrinsic modes of the mainstream is performed according to the mainstream ecological flow control target to obtain the mainstream matching degree result, including:

[0025] Acquire a time index set corresponding to the decomposed eigenmode of the mainstream;

[0026] According to the time index set and the mainstream ecological flow control target, the mean square error matching is performed on the mainstream decomposition intrinsic mode to obtain the mainstream matching result.

[0027] Further, in one embodiment of the present application, the contribution analysis of the tributary phase data set is performed based on the main stream key modal data to obtain the tributary ecological flow contribution, including:

[0028] Performing a second time characteristic decomposition on the tributary stage data set to obtain a plurality of tributary decomposition eigenmodes;

[0029] A regression matching model is constructed based on the key modal data of the main stream, and the modal matching of the decomposed eigenmode of the tributary is performed through the regression matching model to obtain the ecological flow contribution of the tributary.

[0030] Furthermore, in the embodiment of the present application, the regression matching model is expressed as:

[0031]

[0032] in, is the key modal data of the main stream in the period m; t is the time index point in the period m; N is the total number of tributaries within the river catchment area; is the total number of tributary decomposed eigenmodes in the period m for the i-th tributary within the river catchment; is the regression coefficient of the regression matching model; For the i-th tributary within the river catchment area, the j-th tributary decomposes the eigenmode in the period m; ∈ m () is the error term.

[0033] Further, in one embodiment of the present application, the ecological flow decomposition of the ecological flow contribution of all the tributaries is performed according to the main stream ecological flow control target to obtain an ecological flow decomposition result, including:

[0034] The ecological flow contributions of all the tributaries are summed up to obtain the total contribution of the tributaries;

[0035] According to the main stream ecological flow control target and the total contribution of the tributaries, the ecological flow contribution of the tributaries is decomposed to obtain the ecological flow decomposition result.

[0036] In a second aspect, an embodiment of the present application provides an ecological flow control target decomposition system, including:

[0037] An acquisition module is used to obtain the mainstream flow data set, tributary flow data set and mainstream ecological flow control target within the river catchment range;

[0038] A staging module, used for staging the main stream flow data set within a year to obtain a plurality of main stream staging data sets, and staging the tributary flow data set within a year to obtain a plurality of tributary staging data sets, each of the main stream staging data sets being in a different staging time period, and each of the main stream staging data sets corresponding to a plurality of tributary staging data sets;

[0039] A modal identification module is used to identify key intrinsic modes of the mainstream stage data set according to the mainstream ecological flow control target to obtain key modal data of the mainstream;

[0040] An analysis module is used to perform contribution analysis on the tributary phase data set according to the main stream key modal data to obtain the tributary ecological flow contribution;

[0041] The decomposition module is used to perform ecological flow decomposition on the ecological flow contribution of all the tributaries according to the main stream ecological flow control target to obtain the ecological flow decomposition result.

[0042] In a third aspect, an embodiment of the present application further provides an electronic device, including:

[0043] at least one processor;

[0044] at least one memory for storing at least one program;

[0045] 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 described above.

[0046] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, which stores a program executable by a processor, and the program executable by the processor is used to implement the method of the first aspect when executed by the processor.

[0047] The advantages and benefits of the present application will be partially given in the following description, and partially become apparent from the following description, or be understood through the practice of the present application:

[0048] The embodiments of the present application disclose an ecological flow control target decomposition method, system, device and medium, wherein the decomposition method obtains a main stream flow data set, a tributary flow data set and a main stream ecological flow control target within the river catchment area; divides the main stream flow data set into stages within the year to obtain several main stream stage data sets, and divides the tributary flow data set into stages within the year to obtain several tributary stage data sets, each of the main stream stage data sets is in a different stage time period, and each of the main stream stage data sets corresponds to several tributary stage data sets; according to the main stream ecological flow control target, key intrinsic mode identification is performed on the main stream stage data set to obtain main stream key mode data; according to the main stream key mode data, contribution analysis is performed on the tributary stage data set to obtain tributary ecological flow contribution; according to the main stream ecological flow control target, ecological flow decomposition is performed on the ecological flow contribution of all the tributaries to obtain an ecological flow decomposition result. This decomposition method is based on the annual phased division of the main and tributary flow data sets, as well as the contribution analysis of the tributary phased data sets with the same phased time period. It can not only take into account the uneven temporal and spatial distribution of river runoff in different main and tributary rivers within the river basin, but also take into account the synergy of ecological flow decomposition between the main stream and several tributaries within the river basin, and more reasonably decompose the main stream ecological flow control target to the upstream tributaries, making the ecological flow decomposition more rational. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the embodiments of the present application or the drawings of the related technical solutions in the prior art are introduced below. It should be understood that the drawings introduced below are only for the convenience of clearly expressing some embodiments of the technical solutions of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0050] Figure 1 A flow chart of an ecological flow control target decomposition method provided in an embodiment of the present application;

[0051] Figure 2 A schematic diagram of the structure of an ecological flow control target decomposition system provided in an embodiment of the present application;

[0052] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and are not to be construed as limitations on the present application. For the step numbers in the following embodiments, they are only provided for the convenience of explanation, and the order between the steps is not limited in any way, and the execution order of each step in the embodiment can be adaptively adjusted according to the understanding of those skilled in the art.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art 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.

[0055] At present, the traditional method of decomposing ecological flow control targets is usually to formulate ecological flow control targets based on hydrological observation data of main and tributary sections and ecological protection needs. However, since each tributary of the river is affected by precipitation and topography, the water inflow process of each tributary is not synchronized. Specifically, since the flow change characteristics of different tributaries at different times of the year are often different, the flow process of each tributary is also different, and there is unevenness in the flow process of different tributaries within the year; in addition, since the river runoff in different areas of the river basin not only differs in the total runoff, but also in the runoff process, the river runoff has an uneven temporal and spatial distribution in the basin.

[0056] The traditional ecological flow control target decomposition method is often directly based on the ecological flow control target of the main stream, and the ecological flow control target is formulated according to the flow of each tributary. This method does not take into account the difference in water inflow frequency of each tributary, the runoff process between different tributaries and between the main stream and tributaries is not synchronized, and the coordination of ecological flow control targets between the main stream and tributaries of the river is poor and not rational.

[0057] In view of this, an embodiment of the present invention provides an ecological flow control target decomposition method. The decomposition method is based on the annual stage division of the main and tributary flow data set, which can take into account the unevenness of the river flow process within the year; in addition, the decomposition method is also based on the contribution analysis of the tributary stage data set with the same stage time period (specifically, through mode matching, the contribution of different tributaries in constituting the main stream ecological flow control target is determined). Combined with the aforementioned annual stage division, it can not only take into account the uneven temporal and spatial distribution of river runoff of different main and tributary rivers in the river basin, but also The main stream in the Gu River basin is coordinated with several tributaries in the ecological flow decomposition, and the main stream ecological flow control target that characterizes the flow process is more reasonably decomposed to the upstream tributaries, so as to obtain the tributary ecological flow process control target corresponding to the upstream tributaries (i.e., the ecological flow decomposition result). The tributary ecological flow process control target can better reflect the flow process that the tributary control section needs to bear, that is, for several tributary control sections, it provides corresponding and appropriate real-time flow targets for each time index point in the phased time period, and the rationality of ecological flow decomposition is better.

[0058] Reference Figure 1 In an embodiment of the present application, an ecological flow control target decomposition method includes:

[0059] Step 110, obtaining a mainstream flow data set, a tributary flow data set, and a mainstream ecological flow control target within the river catchment range;

[0060] In an embodiment of the present application, for a certain river, we can first determine the catchment area of ​​the river, as well as the main stream control section and several tributary control sections within the catchment area of ​​the river, and collect long-sequence flow data at the main stream control section. The flow process at the main stream control section is used as the main stream flow data set, and the same applies to the tributary flow data set; and the main stream ecological flow control target is the control target of the ecological flow process at the main stream control section.

[0061] Step 120: divide the mainstream flow data set into stages within a year to obtain a plurality of mainstream stage data sets, and divide the tributary flow data set into stages within a year to obtain a plurality of tributary stage data sets, each mainstream stage data set is in a different stage time period, and each mainstream stage data set corresponds to a plurality of tributary stage data sets;

[0062] In some embodiments, the target traffic data set is divided into annual stages to obtain a target staged data set, including:

[0063] A1. Obtaining a preset period division condition, wherein the period division condition includes any one of a seasonal division condition, a flood and drought division condition, or a time cluster division condition;

[0064] A2. Divide the target traffic data set into time periods according to the period division condition to obtain the target phased data set;

[0065] Among them, the target flow data set is the main stream flow data set or the tributary flow data set, the target stage data set is the main stream stage data set or the tributary stage data set, and the target stage data set corresponds to the target flow data set.

[0066] In the embodiment of the present application, the annual phase is used to divide the uneven annual flow process of the river into time periods, so as to take into account the uneven flow process of the river in the year. The target phase data set can be a main stream phase data set or a tributary phase data set.

[0067] Specifically, the intra-year phase can be based on any one of the seasonal phase conditions, flood and dry phase conditions or time cluster phase conditions, to divide the main stream flow data set or the tributary flow data set into time periods, so as to obtain the corresponding target phase data set. The seasonal phase condition can be based on the four seasons of spring, summer, autumn and winter, to divide the target flow data set in the seasonal time period, so as to obtain the target phase data set of the four seasonal time periods; or, the flood and dry phase condition can be based on the flood season and dry season of the river, to divide the target flow data set in the flood and dry season time period, to obtain several flood season time period target phase data sets and several dry season time period target phase data sets; or, the time cluster phase condition can be based on the time series clustering analysis method, taking into account the changes of the target flow data set in the time series, after converting the target flow data set into several static features, clustering several static features to obtain the target phase data set, the number of which is equal to the number of cluster centers of the static features.

[0068] It should be noted that the main stream flow dataset and the corresponding tributary flow dataset use the same period division conditions. After the time period is divided, since the main stream of a river often has several upstream tributaries, after obtaining several main stream period datasets in different period time periods, each main stream period dataset has a certain number of tributary period datasets, which is the same as the number of upstream tributaries. Two corresponding main stream period datasets and tributary period datasets are in the same period time period.

[0069] Step 130: According to the mainstream ecological flow control target, key intrinsic mode identification is performed on the mainstream phase data set to obtain key mode data of the mainstream;

[0070] In some embodiments, the step 130, according to the mainstream ecological flow control target, performs key intrinsic mode identification on the mainstream stage data set to obtain the mainstream key mode data, including:

[0071] Step 131, performing a first time characteristic decomposition on the main stream stage data set to obtain a plurality of main stream decomposition eigenmodes;

[0072] In an embodiment of the present application, for a main stream phase data set of a certain phase time period, key intrinsic mode identification is used to decompose the flow process at the main stream control section, so as to obtain the main stream decomposition intrinsic mode that best matches the main stream ecological flow control target in the phase time period. The main stream decomposition intrinsic mode is used as the main stream flow component of the main stream ecological flow control target.

[0073] Specifically, the first time characteristic decomposition in step 131 can be based on the empirical mode decomposition (EMD) method to decompose the long flow sequence of the main stream stage data set into several sub-flow sequences with different characteristic time scales (i.e., the main stream decomposition intrinsic mode) and a residual term. The equivalent expression of the first time characteristic decomposition can be:

[0074]

[0075] in, is the mainstream staging data set under staging time period m; t is the time index point within staging time period m; n m is the total number of eigenmodes of the main stream decomposition in the period m; is the decomposition eigenmode of the kth main stream in the period m; is the residual item of the mainstream stage data set in the stage time period m.

[0076] Step 132: According to the mainstream ecological flow control target, the matching degree analysis is performed on the mainstream decomposition eigenmode to obtain the mainstream matching degree result, each mainstream matching degree result corresponds to one mainstream decomposition eigenmode;

[0077] Furthermore, the step 132, according to the mainstream ecological flow control target, performs a matching degree analysis on the mainstream decomposed intrinsic mode to obtain a mainstream matching degree result, including:

[0078] B1. Acquire a time index set corresponding to the decomposed eigenmode of the main stream;

[0079] B2. According to the time index set and the mainstream ecological flow control target, perform mean square error matching on the mainstream decomposition intrinsic modes to obtain the mainstream matching result.

[0080] In an embodiment of the present application, step 132 may be to analyze the matching degree of the main stream ecological flow control target of a certain phased time period and all the main stream decomposition intrinsic modes in the corresponding phased time period in turn, so as to obtain the main stream matching degree result in the phased time period, and each main stream matching degree result corresponds to a main stream decomposition intrinsic mode. The time index set may be a set of time index points in the phased time period, and the time index points are used to organize the main stream decomposition intrinsic modes or the main stream phased data set according to the time sequence.

[0081] Specifically, the mean square error matching can be based on the index time point in the time index set, combined with the mean square error (MSE), to measure the difference between the mainstream ecological flow control target and the mainstream decomposition intrinsic mode. The equivalent formula of the mean square error matching is:

[0082]

[0083] in, is the mainstream matching result; is the ecological flow control target of the mainstream in the period m; T m is the time index set corresponding to the installment time period m.

[0084] Step 133: According to the mainstream matching result, perform mainstream modal screening on all the mainstream decomposition eigenmodes to obtain the mainstream key modal data.

[0085] In the embodiment of the present application, the mainstream matching result is used to characterize the degree of match between the mainstream decomposition intrinsic mode and the mainstream ecological flow control target within a certain period of time. Therefore, step 133 can be to screen each mainstream matching result. Specifically, the mainstream decomposition intrinsic mode corresponding to the smallest mainstream matching result among all mainstream matching results can be used as the mainstream key modal data to complete the mainstream modal screening. It should be noted that the identification of key intrinsic modes for the remaining period of time can be inferred based on the above content, and this application will not go into details here.

[0086] Step 140: Perform contribution analysis on the tributary phase data set according to the main stream key modal data to obtain the tributary ecological flow contribution;

[0087] Furthermore, the step 140, based on the main stream key modal data, performs contribution analysis on the tributary stage data set to obtain the tributary ecological flow contribution, including:

[0088] Step 141, performing a second time characteristic decomposition on the tributary stage data set to obtain a plurality of tributary decomposition eigenmodes;

[0089] Step 142: construct a regression matching model based on the key modal data of the main stream, and perform modal matching on the decomposed eigenmode of the tributary through the regression matching model to obtain the ecological flow contribution of the tributary.

[0090] In an embodiment of the present application, after obtaining the key modal data of the main stream in a certain period of time, the tributary period data set can be subjected to a second time feature decomposition. The period of time of the tributary period data set is the same as the period of time of the key modal data of the main stream, and for a certain tributary, the tributary is composed of different periodic processes (i.e., tributary decomposition eigenmodes); specifically, the second time feature decomposition in step 141 is similar to the first time feature decomposition in the aforementioned step 131, and can be derived by analogy.

[0091] It can be understood that step 142 is used to analyze the relationship between the key modal data of the main stream and the decomposed eigenmodes of several tributaries, so as to determine the best matching item between the key modal data of the main stream and the decomposed eigenmodes of the tributaries in each period. Specifically, for a tributary within the catchment area of ​​the river, the relationship between the key modal data of the main stream and the decomposed eigenmodes of the tributaries can be constructed by adopting a regression matching model. In the regression matching model, the key modal data of the main stream is the dependent variable, and the decomposed eigenmodes of each tributary are used as independent variables. The expression form of the regression matching model is:

[0092]

[0093] in, is the key modal data of the main stream in the period m; t is the time index point in the period m; N is the total number of tributaries within the river catchment area; is the total number of tributary decomposed eigenmodes in the period m for the i-th tributary within the river catchment; is the regression coefficient of the regression matching model; For the i-th tributary within the river catchment area, the j-th tributary decomposes the eigenmode in the period m; ∈ m () is the error term.

[0094] It should be noted that the regression matching model in the embodiment of the present application can specifically be a stepwise regression model, and the regression coefficient of the regression matching model is (i.e., tributary ecological flow contribution) can characterize the contribution of the j-th tributary decomposed eigenmode within the i-th tributary within the river catchment range to the key modal data of the main stream in the period m. The regression coefficient Is a positive value.

[0095] Specifically, for a certain period of time, the eigenmodes can be decomposed according to multiple tributaries in the period of time to determine the total contribution of the tributary to the ecological flow process of the main stream in the period of time (i.e., the ecological flow contribution of the tributary). The expression of the ecological flow contribution of the tributary is:

[0096]

[0097] Among them, C i is the tributary ecological flow contribution of tributary i.

[0098] Step 150: According to the main stream ecological flow control target, ecological flow decomposition is performed on the ecological flow contribution of all the tributaries to obtain an ecological flow decomposition result.

[0099] In some embodiments, the step 150, according to the main stream ecological flow control target, performs ecological flow decomposition on the ecological flow contribution of all the tributaries to obtain an ecological flow decomposition result, including:

[0100] Step 151, summing up the ecological flow contributions of all the tributaries to obtain the total contribution of the tributaries;

[0101] Step 152: According to the main stream ecological flow control target and the total contribution of the tributaries, the ecological flow contribution of the tributaries is decomposed to obtain the ecological flow decomposition result.

[0102] In an embodiment of the present application, ecological flow decomposition is used to decompose the main stream ecological flow control target at the main stream control section into each tributary according to the contribution of each tributary in the river to the main stream, and the ecological flow decomposition result is used to characterize the ecological flow process target that the tributary needs to bear. Specifically, for a certain period of time, first, the ecological flow contribution of all tributaries of the tributaries can be summed up in the period of time to obtain the total contribution of all tributaries of the river to the main stream (i.e., the total contribution of tributaries) in the period of time; then, for a certain tributary in the period of time, the ratio of the ecological flow contribution of the tributary to the total contribution of the tributaries can be obtained to determine the proportion of ecological flow tasks that the tributary needs to bear within the range of all tributaries, and then the product operation is performed based on the ratio and the main stream ecological flow control target corresponding to the period of time, so as to obtain the ecological flow decomposition result in the period of time, and the equivalent expression of the ecological flow decomposition result in the period of time is:

[0103]

[0104] in, is the decomposition result of the ecological flow of the ith tributary at time index point t in period m; C sumis the total contribution of tributaries; is the ecological flow control target of the mainstream at time index point t in period m.

[0105] It should be noted that the ecological flow decomposition results corresponding to the remaining tributaries in the phased time period, or the ecological flow decomposition results of the remaining phased time periods, can be inferred based on the above content. The ecological flow decomposition results finally obtained in the embodiment of the present application can be the ecological flow decomposition results of a certain tributary in a certain phased time period, or the ecological flow decomposition results of all tributaries in a certain phased time period, or the ecological flow decomposition results of all tributaries in all phased time periods, etc. The examples in this application are for illustration only and do not impose any limitations on this application.

[0106] In summary, the embodiments of the present application can take into account the synergy of ecological flow decomposition between the main stream and tributaries, and between different tributaries based on the contribution of different tributaries to the main stream, and can more reasonably decompose the main stream ecological flow control target that characterizes the flow process to the upstream tributaries, so as to obtain the tributary ecological flow process control target corresponding to the upstream tributary (that is, the ecological flow decomposition result). The tributary ecological flow process control target can better reflect the flow process that the tributary control section needs to bear, that is, it can provide several tributary control sections with corresponding and appropriate real-time flow targets for each time index point in the phased time period, and the rationality of the ecological flow decomposition is better.

[0107] An ecological flow control target decomposition system proposed according to an embodiment of the present application is described in detail below with reference to the accompanying drawings.

[0108] Reference Figure 2 , an ecological flow control target decomposition system proposed in an embodiment of the present application includes:

[0109] An acquisition module 101 is used to acquire a mainstream flow data set, a tributary flow data set and a mainstream ecological flow control target within a river catchment area;

[0110] The staging module 102 is used to stage the main stream flow data set within the year to obtain a plurality of main stream stage data sets, and to stage the tributary flow data set within the year to obtain a plurality of tributary stage data sets, each of the main stream stage data sets being in a different stage time period, and each of the main stream stage data sets corresponding to a plurality of tributary stage data sets;

[0111] The modal identification module 103 is used to perform key intrinsic modal identification on the mainstream stage data set according to the mainstream ecological flow control target to obtain the mainstream key modal data;

[0112] The analysis module 104 is used to perform contribution analysis on the tributary phase data set according to the main stream key modal data to obtain the tributary ecological flow contribution;

[0113] The decomposition module 105 is used to perform ecological flow decomposition on the ecological flow contribution of all the tributaries according to the main stream ecological flow control target to obtain an ecological flow decomposition result.

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

[0115] Reference Figure 3 , the embodiment of the present application further provides an electronic device, including:

[0116] at least one processor 201;

[0117] At least one memory 202, used 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 embodiment.

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

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

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

[0122] In some selectable embodiments, the function / operation mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the function / operation involved, the two boxes shown in succession can actually be executed substantially simultaneously or the boxes can sometimes be executed in reverse order. In addition, the embodiment presented and described in the flow chart of the application is provided by way of example, for the purpose of providing a more comprehensive understanding of technology. The disclosed method is not limited to the operation and logic flow presented herein. Selectable embodiments are expected, wherein the order of various operations is changed and the sub-operation of a part described as a larger operation is performed independently.

[0123] In addition, although the present application is described in the context of functional modules, it should be understood that, unless otherwise specified, one or more of the functions and / or features can be integrated into a single physical device and / or software module, or one or more functions and / or features can be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the present application. More specifically, in view of the properties, functions, and internal relationships of the various functional modules in the device disclosed herein, the actual implementation of the module will be understood within the conventional techniques of the engineer. Therefore, those skilled in the art can implement the present application set forth in the claims without excessive experimentation using ordinary techniques. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present application, which is determined by the full scope of the attached claims and their equivalents.

[0124] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method of the embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

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

[0126] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0127] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned 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, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

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

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

[0130] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the embodiments. Technical personnel familiar with the field can make various equivalent modifications or substitutions without violating the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A method for decomposing ecological flow control targets, characterized in that: include: Obtain mainstream flow data sets, tributary flow data sets and mainstream ecological flow control targets within the river catchment area; Divide the main stream flow data set into stages within a year to obtain a plurality of main stream stage data sets, and divide the tributary flow data set into stages within a year to obtain a plurality of tributary stage data sets, each of the main stream stage data sets is in a different stage time period, and each of the main stream stage data sets corresponds to a plurality of tributary stage data sets; According to the main stream ecological flow control target, key intrinsic mode identification is performed on the main stream stage data set to obtain the main stream key mode data; According to the key modal data of the main stream, the contribution analysis of the tributary stage data set is performed to obtain the ecological flow contribution of the tributary; According to the main stream ecological flow control target, ecological flow decomposition is performed on the ecological flow contribution of all the tributaries to obtain an ecological flow decomposition result; According to the main stream ecological flow control target, the main stream phased data set is subjected to key intrinsic mode identification to obtain the main stream key mode data, including: Performing a first time characteristic decomposition on the main stream stage data set to obtain a plurality of main stream decomposition eigenmodes; According to the main stream ecological flow control target, the main stream decomposition eigenmode is subjected to matching degree analysis to obtain the main stream matching degree result, each main stream matching degree result corresponds to one main stream decomposition eigenmode; According to the mainstream matching result, all the mainstream decomposition eigenmodes are subjected to mainstream mode screening to obtain the mainstream key mode data; According to the main stream ecological flow control target, the matching degree analysis is performed on the main stream decomposed eigenmode to obtain the main stream matching degree result, including: Acquire a time index set corresponding to the decomposed eigenmode of the mainstream; According to the time index set and the mainstream ecological flow control target, performing mean square error matching on the mainstream decomposition intrinsic mode to obtain the mainstream matching result; The contribution analysis of the tributary phase data set is performed based on the main stream key modal data to obtain the tributary ecological flow contribution, including: Performing a second time characteristic decomposition on the tributary stage data set to obtain a plurality of tributary decomposition eigenmodes; A regression matching model is constructed based on the key modal data of the main stream, and modal matching is performed on the decomposed eigenmode of the tributary through the regression matching model to obtain the ecological flow contribution of the tributary; The regression matching model is expressed as: in, is the key modal data of the main stream in the period m; t is the time index point in the period m; N is the total number of tributaries within the river catchment area; is the total number of tributary decomposed eigenmodes in the period m for the i-th tributary within the river catchment; is the regression coefficient of the regression matching model; For the i-th tributary within the river catchment area, the j-th tributary decomposes the eigenmode in the period m; ∈ m () is the error term; According to the main stream ecological flow control target, the ecological flow contribution of all the tributaries is decomposed to obtain the ecological flow decomposition result, including: The ecological flow contributions of all the tributaries are summed up to obtain the total contribution of the tributaries; According to the main stream ecological flow control target and the total contribution of the tributaries, the ecological flow contribution of the tributaries is decomposed to obtain the ecological flow decomposition result.

2. The ecological flow control target decomposition method according to claim 1 is characterized in that: The target traffic data set is divided into annual phases to obtain the target phased data set, including: Obtaining a preset period division condition, wherein the period division condition includes any one of a seasonal division condition, a flood and dry season division condition, or a time clustering division condition; Dividing the target traffic data set into time periods according to the period division condition to obtain the target phased data set; Among them, the target flow data set is the main stream flow data set or the tributary flow data set, the target stage data set is the main stream stage data set or the tributary stage data set, and the target stage data set corresponds to the target flow data set.

3. An ecological flow control target decomposition system, characterized in that: include: An acquisition module is used to obtain the mainstream flow data set, tributary flow data set and mainstream ecological flow control target within the river catchment range; A staging module, used for staging the main stream flow data set within a year to obtain a plurality of main stream staging data sets, and staging the tributary flow data set within a year to obtain a plurality of tributary staging data sets, each of the main stream staging data sets being in a different staging time period, and each of the main stream staging data sets corresponding to a plurality of tributary staging data sets; A modal identification module is used to identify key intrinsic modes of the mainstream stage data set according to the mainstream ecological flow control target to obtain key modal data of the mainstream; An analysis module is used to perform contribution analysis on the tributary phase data set according to the main stream key modal data to obtain the tributary ecological flow contribution; A decomposition module, used to perform ecological flow decomposition on the ecological flow contribution of all the tributaries according to the main stream ecological flow control target, and obtain an ecological flow decomposition result; According to the main stream ecological flow control target, the main stream phased data set is subjected to key intrinsic mode identification to obtain the main stream key mode data, including: Performing a first time characteristic decomposition on the main stream stage data set to obtain a plurality of main stream decomposition eigenmodes; According to the main stream ecological flow control target, the main stream decomposition eigenmode is subjected to matching degree analysis to obtain the main stream matching degree result, each main stream matching degree result corresponds to one main stream decomposition eigenmode; According to the mainstream matching result, all the mainstream decomposition eigenmodes are subjected to mainstream mode screening to obtain the mainstream key mode data; According to the main stream ecological flow control target, the matching degree analysis is performed on the main stream decomposed eigenmode to obtain the main stream matching degree result, including: Acquire a time index set corresponding to the decomposed eigenmode of the mainstream; According to the time index set and the mainstream ecological flow control target, performing mean square error matching on the mainstream decomposition intrinsic mode to obtain the mainstream matching result; The contribution analysis of the tributary phase data set is performed based on the main stream key modal data to obtain the tributary ecological flow contribution, including: Performing a second time characteristic decomposition on the tributary stage data set to obtain a plurality of tributary decomposition eigenmodes; A regression matching model is constructed based on the key modal data of the main stream, and modal matching is performed on the decomposed eigenmode of the tributary through the regression matching model to obtain the ecological flow contribution of the tributary; The regression matching model is expressed as: in, is the key modal data of the main stream in the period m; t is the time index point in the period m; N is the total number of tributaries within the river catchment area; is the total number of tributary decomposed eigenmodes in the period m for the i-th tributary within the river catchment; is the regression coefficient of the regression matching model; For the i-th tributary within the river catchment area, the j-th tributary decomposes the eigenmode in the period m; ∈ m () is the error term; According to the main stream ecological flow control target, the ecological flow contribution of all the tributaries is decomposed to obtain the ecological flow decomposition result, including: The ecological flow contributions of all the tributaries are summed up to obtain the total contribution of the tributaries; According to the main stream ecological flow control target and the total contribution of the tributaries, the ecological flow contribution of the tributaries is decomposed to obtain the ecological flow decomposition result.

4. An electronic device, characterized in that: include: 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, the at least one processor implements the method according to any one of claims 1 to 2.

5. A computer-readable storage medium storing a program executable by a processor, characterized in that: The program executable by the processor is used to implement the method according to any one of claims 1 to 2 when executed by the processor.

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