Method and device for determining water type contribution rate of multi-source water bodies in drainage network

Abstract

The present application provides a method and device for determining the contribution rate of water body types of multi-source water bodies in a drainage network, which are applied to the field of sewage treatment technology. The method determines a characteristic factor set of the multi-source water body based on multiple source types of the multi-source water body in the drainage network, and the characteristic factor set includes: multiple target characteristic factors corresponding to the source type; based on the multiple target characteristic factors, a corresponding scatter plot is drawn, and according to the scatter plot, a characterization parameter of the characteristic factor set is determined, and the characterization parameter is used to indicate whether the characteristic factor set can characterize the contribution rate of the water body type of the multi-source water body; when the characterization parameter indicates that the characteristic factor set can characterize the contribution rate of the water body type of the multi-source water body, the contribution rate of multiple source types in the multi-source water body is determined according to the first factor parameter and the second factor parameter, thereby reducing the diagnostic cost of the contribution rate of multiple source types in the multi-source water body in the drainage network and improving efficiency.

Description

Technical Field

[0001] The present application belongs to the technical field of sewage treatment, and in particular, relates to a method and device for determining the contribution rate of water body types of multi-source water bodies in a drainage network. Background Art

[0002] The common problems of mixed connections and inflow infiltration in urban drainage networks have become important factors restricting the efficiency of sewage collection and treatment and the continuous improvement of water environment quality. It is urgent to comprehensively deepen the management of drainage network operation problems.

[0003] In the prior art, in order to effectively identify the problems of mixed connections and inflow and infiltration in the drainage network, the characteristic factor tracing method is often used to solve the problem. This method first determines the source type of the water body based on the characteristic factor detection information in the drainage network water body, and then combines the characteristic factor detection of the source type water body to construct a chemical mass balance model between "water body source" and "drainage network water body" regarding the characteristic factor value, and further realizes the quantitative analysis of the water volume proportion of different source water bodies such as mixed connections, inflow and infiltration in the pipe network.

[0004] However, although the characteristic factor tracing method of the existing technology can effectively identify the problems of mixed connection and inflow infiltration in the drainage network, it requires a large number of characteristic factor tests, which leads to high costs. Moreover, as the types of water sources increase, the complexity and cost of the test also increase. Therefore, there are defects of high cost and low efficiency. Summary of the invention

[0005] The present application provides a method and device for determining the contribution rate of water body types of multi-source water bodies in a drainage network, so as to solve the defects of high diagnostic cost and low efficiency in the characteristic factor tracing method in the prior art.

[0006] In a first aspect, the present application provides a method for determining a water body type contribution rate of a multi-source water body in a drainage network, the method comprising:

[0007] Based on multiple source types of the multi-source water body in the drainage network, determining a characteristic factor set of the multi-source water body, the characteristic factor set comprising: multiple target characteristic factors corresponding to the source type;

[0008] Based on multiple target characteristic factors, a corresponding scatter plot is drawn, and according to the scatter plot, a characterization parameter of the characteristic factor set is determined, wherein the characterization parameter is used to indicate whether the characteristic factor set can characterize the water body type contribution rate of the multi-source water body;

[0009] In a case where the characterization parameter indicates that the characteristic factor set is capable of characterizing the contribution rate of the water body type of the multi-source water body, determining the contribution rates of the multiple source types in the multi-source water body according to the first factor parameter and the second factor parameter;

[0010] The first factor parameters are parameters of the multiple target characteristic factors in the multi-source water body, and the second factor parameters are parameters of the multiple target characteristic factors in the water body corresponding to each source type.

[0011] Optionally, the determining of a set of characteristic factors of the multi-source water body based on multiple source types of the multi-source water body in the drainage network includes:

[0012] For any one of the multiple source types, determining at least one candidate characteristic factor corresponding to the source type;

[0013] Determine a target characteristic factor corresponding to the source type from the at least one candidate characteristic factor;

[0014] The target feature factors corresponding to the multiple source types are taken as the feature factor set.

[0015] Optionally, the number of the target characteristic factors is M, and the target characteristic factors corresponding to the multiple source types are taken as the characteristic factor set, including:

[0016] For any one of the M target characteristic factors, determining a second factor parameter of the target characteristic factor in the N source types;

[0017] Determine the coefficient of variation of the target characteristic factor in each source type and the average value of the coefficient of variation corresponding to the target characteristic factor according to the M second factor parameters;

[0018] According to the average values ​​of the N coefficients of variation corresponding to the M target characteristic factors, the M target characteristic factors are screened to obtain Q target characteristic factors, and the Q target characteristic factors are used as the characteristic factor set, wherein M≥N≥Q, and N, M, and Q are all positive integers greater than 2.

[0019] Optionally, the screening process is performed on the M target characteristic factors according to the average values ​​of the N coefficients of variation corresponding to the M target characteristic factors to obtain the Q target characteristic factors, including:

[0020] The N average values ​​of the coefficient of variation are sorted in order from small to large to obtain the first n average values ​​of the coefficient of variation;

[0021] Determining an average parameter of the first n coefficient of variation means;

[0022] When the average parameter is less than the preset parameter, the Q target characteristic factors corresponding to the average values ​​of the first n coefficients of variation are determined as screening results.

[0023] Optionally, drawing a corresponding scatter plot based on multiple target characteristic factors includes:

[0024] For any one of the Q target characteristic factors, determine the average value and standard deviation of the N second factor parameters of the target characteristic factor;

[0025] A Q-dimensional coordinate system is constructed with each target characteristic factor as a different dimension, and the coordinate point of each target characteristic factor in the Q-dimensional coordinate system is determined according to the average value corresponding to the Q target characteristic factors, and the error bar of each target characteristic factor in the Q-dimensional coordinate system is determined according to the standard deviation corresponding to the Q target characteristic factors;

[0026] A scatter plot corresponding to the multiple target characteristic factors is determined according to the coordinate points and the error bars.

[0027] Optionally, determining the characterization parameters of the characteristic factor set according to the scatter plot includes:

[0028] Determine whether there is an overlapping area among the plurality of error bars;

[0029] If not, determining a difference coefficient between any two target characteristic factors among the plurality of target characteristic factors, wherein the difference coefficient is used to indicate whether there is an obvious difference between the two target characteristic factors;

[0030] When the multiple difference coefficients corresponding to the multiple target characteristic factors indicate that there are obvious differences among the multiple target characteristic factors, the characterization parameter is determined to be a first characterization parameter, which is used to indicate that the characteristic factor set can characterize the water body type contribution rate of the multi-source water body.

[0031] Optionally, determining the contribution rates of the multiple source types in the multi-source water body according to the first factor parameter and the second factor parameter includes:

[0032] Determine the first factor parameters of the Q target characteristic factors in the multi-source water body;

[0033] Determine the parameter values ​​corresponding to the multiple source types using a chemical mass balance equation according to the average values, standard deviations and the first factor parameters corresponding to the Q target characteristic factors;

[0034] The contribution rate of each source type in the multi-source water body is determined according to the parameter values ​​corresponding to the multiple source types.

[0035] In a second aspect, the present application provides a device for determining a water body type contribution rate of a multi-source water body in a drainage network, the device comprising:

[0036] A determination module, configured to determine a characteristic factor set of the multi-source water body based on multiple source types of the multi-source water body in the drainage network, wherein the characteristic factor set includes: multiple target characteristic factors corresponding to the source types;

[0037] A processing module, used for drawing corresponding scatter plots based on multiple target characteristic factors;

[0038] The determination module is further used to determine, according to the scatter plot, a characterization parameter of the characteristic factor set, wherein the characterization parameter is used to indicate whether the characteristic factor set can characterize the water body type contribution rate of the multi-source water body;

[0039] The determination module is further configured to determine the contribution rates of the multiple source types in the multi-source water body according to the first factor parameter and the second factor parameter when the characterization parameter indicates that the characteristic factor set can characterize the contribution rate of the water body type of the multi-source water body;

[0040] The first factor parameters are parameters of the multiple target characteristic factors in the multi-source water body, and the second factor parameters are parameters of the multiple target characteristic factors in the water body corresponding to each source type.

[0041] Optionally, the determination module is further configured to determine, for any one of the multiple source types, at least one candidate characteristic factor corresponding to the source type;

[0042] The determination module is further configured to determine a target characteristic factor corresponding to the source type from the at least one candidate characteristic factor;

[0043] The processing module is further configured to use the target feature factors corresponding to the multiple source types as the feature factor set.

[0044] Optionally, the determination module is further used to determine, for any one of the M target characteristic factors, a second factor parameter of the target characteristic factor in the N source types;

[0045] The determination module is further used to determine the coefficient of variation of the target characteristic factor in each source type and the average value of the coefficient of variation corresponding to the target characteristic factor according to the M second factor parameters;

[0046] The processing module is also used to screen the M target characteristic factors according to the average values ​​of the N coefficients of variation corresponding to the M target characteristic factors, obtain Q target characteristic factors, and use the Q target characteristic factors as the characteristic factor set, wherein M≥N≥Q, and N, M, and Q are all positive integers greater than 2.

[0047] Optionally, the processing module is further used to sort the N average values ​​of the coefficient of variation in order from small to large to obtain the first n average values ​​of the coefficient of variation;

[0048] The determination module is further used to determine an average parameter of the first n average values ​​of the coefficients of variation;

[0049] The determination module is further configured to determine, when the average parameter is less than a preset parameter, the Q target characteristic factors corresponding to the average values ​​of the first n coefficients of variation as screening results.

[0050] Optionally, the determination module is further used to determine, for any one of the Q target characteristic factors, an average value and a standard deviation of N second factor parameters of the target characteristic factor;

[0051] The processing module is further used to construct a Q-dimensional coordinate system with each target characteristic factor as a different dimension;

[0052] The determination module is further used to determine the coordinate point of each target characteristic factor in the Q-dimensional coordinate system according to the average value corresponding to the Q target characteristic factors, and determine the error bar of each target characteristic factor in the Q-dimensional coordinate system according to the standard deviation corresponding to the Q target characteristic factors;

[0053] The determination module is further used to determine the scatter plots corresponding to the multiple target characteristic factors according to the coordinate points and the error bars.

[0054] Optionally, the device for determining the water type contribution rate of the multi-source water body in the drainage network further includes: a judgment module;

[0055] The judging module is used to judge whether there is an overlapping area between the plurality of error bars;

[0056] The determination module is further configured to determine, for any two target characteristic factors among the multiple target characteristic factors, a difference coefficient of the two target characteristic factors when there is no overlapping area in the multiple error bars, wherein the difference coefficient is used to indicate whether there is a significant difference between the two target characteristic factors;

[0057] The determination module is also used to determine that the characterization parameter is a first characterization parameter when the multiple difference coefficients corresponding to the multiple target characteristic factors indicate that there are obvious differences between the multiple target characteristic factors. The first characterization parameter is used to indicate that the characteristic factor set can characterize the water body type contribution rate of the multi-source water body.

[0058] Optionally, the determination module is further used to determine the first factor parameters of the Q target characteristic factors in the multi-source water body;

[0059] The determination module is further used to determine parameter values ​​corresponding to the multiple source types using a chemical mass balance equation according to the average values, standard deviations and the first factor parameters corresponding to the Q target characteristic factors;

[0060] The determination module is further used to determine the contribution rate of each source type in the multi-source water body according to the parameter values ​​corresponding to the multiple source types.

[0061] In a third aspect, the present application provides a device for determining the contribution rate of water body types of multi-source water bodies in a drainage network, comprising:

[0062] Memory;

[0063] processor;

[0064] Wherein, the memory stores computer-executable instructions;

[0065] The processor executes the computer-executable instructions stored in the memory to implement the method for determining the water body type contribution rate of multi-source water bodies in the drainage network as described in the first aspect and various possible implementation methods of the first aspect.

[0066] In a fourth aspect, the present application provides a computer storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement a method for determining a water body type contribution rate of a multi-source water body in a drainage network as described in the first aspect and various possible implementations of the first aspect.

[0067] The present application provides a method and device for determining the contribution rate of water body types of multi-source water bodies in a drainage network, which are applied to the field of sewage treatment technology. The method determines a characteristic factor set of the multi-source water body based on multiple source types of the multi-source water body in the drainage network, and the characteristic factor set includes: multiple target characteristic factors corresponding to the source type; based on the multiple target characteristic factors, a corresponding scatter plot is drawn, and according to the scatter plot, a characterization parameter of the characteristic factor set is determined, and the characterization parameter is used to indicate whether the characteristic factor set can characterize the contribution rate of the water body type of the multi-source water body; when the characterization parameter indicates that the characteristic factor set can characterize the contribution rate of the water body type of the multi-source water body, the contribution rate of multiple source types in the multi-source water body is determined according to the first factor parameter and the second factor parameter, thereby reducing the diagnostic cost of the contribution rate of multiple source types in the multi-source water body in the drainage network and improving efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0069] Figure 1 Schematic diagram of the process of determining the water body type contribution rate of the multi-source water body in the drainage network provided for this application Figure 1 ;

[0070] Figure 2 Schematic diagram of the process of determining the water body type contribution rate of the multi-source water body in the drainage network provided for this application Figure 2 ;

[0071] Figure 3 Schematic diagram of the process of determining the water body type contribution rate of the multi-source water body in the drainage network provided for this application Figure 3 ;

[0072] Figure 4 A schematic diagram of a scatter plot provided for this application;

[0073] Figure 5 A schematic diagram of the structure of a device for determining the water type contribution rate of a multi-source water body in a drainage network provided by this application;

[0074] Figure 6 A schematic diagram of the structure of a device for determining the water type contribution rate of multiple source water bodies in a drainage network provided in this application.

[0075] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0076] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0077] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in sequences other than those illustrated or described herein.

[0078] In the embodiments of the present application, the words "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0079] The operational problems of mixed and wrong connections, inflow and infiltration in urban drainage networks have become the main factors restricting the efficiency of sewage collection and treatment and the continuous improvement of water environment quality. It is urgent to comprehensively deepen the governance of drainage network operation problems, and identifying the problem locations and analyzing the proportion of water from different sources are the basic prerequisites for the economical and efficient implementation of governance work.

[0080] In the existing technology, in order to accurately identify operational problems such as mixed connections and inflow and infiltration in the drainage network, the characteristic factor tracing technology path is generally used. This method first analyzes and detects the characteristic factors of water flow samples in the drainage network to determine the specific source of the water body. Then, using the characteristic factor data of water bodies from different sources, a chemical mass balance model is established to describe the numerical relationship between the characteristic factors of "water source" and "water body in the network". With the help of this model, it is possible to further achieve accurate quantitative analysis of the flow ratios of various types of water bodies caused by mixed connections or inflow and infiltration inside the network. This method can implement normalized water-carrying operations without interfering with the daily operation of the network, thereby achieving the purpose of diagnosing and analyzing the source of water bodies in the network.

[0081] Although the existing characteristic factor tracing method has shown high effectiveness in identifying problems such as mixed connections and inflow infiltration in drainage networks, this method relies on the detection of a large number of characteristic factors, which not only increases the overall cost, but also increases the complexity of the work due to the large number of items that need to be detected. In particular, when the types of water sources involved in the pipe network increase, the number of characteristic factor detections required increases exponentially, further pushing up the cost and difficulty of detection, resulting in the problem of high cost and low efficiency in practical applications of this method.

[0082] In response to the above problems, the present application proposes a method for determining the contribution rate of water body types in multi-source water bodies in a drainage network. The method determines a series of factor sets that can represent the characteristics of these sources by analyzing the different source types of multi-source water bodies in the drainage network; a scatter plot is constructed using characteristic factors, and characterization parameters are extracted from the scatter plot. When the characterization parameters can effectively reflect the relative contribution rates of water bodies from various sources, the contribution ratio of each source type is quantitatively evaluated by analyzing the characteristic factor parameters, thereby simplifying the calculation process, reducing the computational cost required to evaluate the contribution rate of each source in the multi-source water body, and improving overall work efficiency.

[0083] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0084] Figure 1 Schematic diagram of a process for determining the contribution rate of water types of multi-source water bodies in a drainage network provided for an application embodiment Figure 1 .like Figure 1 As shown, the method for determining the water body type contribution rate of multi-source water bodies in the drainage network provided in this embodiment includes:

[0085] S101. Determine a characteristic factor set of the multi-source water body based on multiple source types of the multi-source water body in the drainage network, where the characteristic factor set includes: multiple target characteristic factors corresponding to the source types.

[0086] Among them, based on the multiple source types of multi-source water bodies in the drainage network, the typical characteristics of water bodies of different source types are identified according to literature reports, research results and actually collected water body information. For any of the multiple source types of multi-source water bodies, at least one characteristic factor with stability and specificity is selected, and factors that are significantly meaningful for distinguishing water bodies of different sources are selected from the previously identified characteristic factor set as target characteristic factors to form a characteristic factor set for multi-source water bodies. The characteristic factor set includes: multiple target characteristic factors corresponding to the source type. These characteristic factors have stability and specificity. Stability means that the value of the characteristic factor does not change much at different times or under different conditions, while specificity means that the factor can clearly distinguish water bodies of different sources.

[0087] One possible implementation method is to identify the drainage network system in the study area and the scope of water bodies it covers. Collect data on all factors that may affect water quality in the area, such as but not limited to industrial wastewater discharge, domestic sewage discharge, rainwater runoff, groundwater infiltration, etc. Obtain historical water quality test data, such as pH value, dissolved oxygen content, chemical oxygen demand, biochemical oxygen demand, etc. Divide water bodies into different types based on data sources, such as industrial wastewater, domestic sewage, rainwater, surface water, etc. For each type of water source, identify its unique physical, chemical, and biological characteristic factors. For example:

[0088] Industrial wastewater: heavy metal concentration, specific pollutant concentration, etc.;

[0089] Domestic sewage: organic matter content, ammonia nitrogen, phosphate, etc.;

[0090] Rainwater: suspended particulate matter, nitrogen oxides, etc.;

[0091] Surface water: microbial community composition, algae species, etc.

[0092] All the target characteristic factors identified above are standardized and analyzed and then integrated into a characteristic factor set of multi-source water bodies. The characteristic factor set includes: multiple target characteristic factors corresponding to the source type.

[0093] Based on the multiple source types of multi-source water bodies in the drainage network, determining the set of characteristic factors of multi-source water bodies can effectively identify and manage the characteristic factors of multi-source water bodies in the drainage network, providing a scientific basis for improving water quality management and protection.

[0094] S102: based on the multiple target characteristic factors, draw a corresponding scatter plot, and determine the characterization parameters of the characteristic factor set according to the scatter plot.

[0095] Among them, based on multiple target characteristic factors, a data visualization tool is used to draw a corresponding scatter plot for each characteristic factor to intuitively show the relationship between each characteristic factor. Observe the distribution pattern of the target characteristic factors on the scatter plot to determine whether there is a clustering phenomenon in the scatter plot. Whether there is a clustering phenomenon indicates that there is a linear or nonlinear correlation between the characteristic factors. Calculate the correlation coefficient between the characteristic factors, such as the Pearson correlation coefficient or the Spearman rank correlation coefficient, to quantify the degree of association between them. Determine the characterization parameters of the characteristic factor set based on the correlation coefficient between the characteristic factors. The characterization parameters are used to indicate whether the characteristic factor set can characterize the water type contribution rate of multi-source water bodies.

[0096] A scatter plot is drawn based on multiple target characteristic factors, and the characterization parameters are further determined to better understand and characterize the characteristics of multi-source water bodies and their type contribution rates.

[0097] S103. When the characterization parameter indicates that the characteristic factor set is capable of characterizing the contribution rate of the water body type of the multi-source water body, determine the contribution rate of the multiple source types in the multi-source water body according to the first factor parameter and the second factor parameter.

[0098] Among them, when the characterization parameter indicates that the characteristic factor set can characterize the contribution rate of the water type of multi-source water bodies, a chemical mass balance equation is constructed according to the first factor parameters, i.e., the parameters of multiple target characteristic factors in the multi-source water bodies, and the second factor parameters, i.e., the parameters of multiple target characteristic factors in the water body corresponding to each source type. The chemical mass balance equation is used as a constraint condition, and a large number of parameter values ​​that meet the constraint conditions are generated by, for example, a Markov chain Monte Carlo algorithm, and the average value of multiple parameter values ​​is used as the final quantitative result of the contribution rate of water bodies of each source type to the water body of the drainage network.

[0099] This embodiment proposes a method for determining the contribution rate of water body types of multi-source water bodies in a drainage network. The method first determines a set of target characteristic factors that can characterize the water bodies from various sources based on the characteristics of the water bodies from various sources in the drainage network. Subsequently, the corresponding scatter plot is drawn using these characteristic factors, and the characterization parameters that can reflect whether the characteristic factor set can effectively characterize the contribution rate of water bodies from different sources are determined through the scatter plot. Only when the characterization parameters indicate that the characteristic factor set can indeed distinguish the contribution rate of water bodies from various sources, the statistical data of the characteristic factors will be further used to calculate the contribution rate of water bodies from various sources to the overall water body in the network. Thereby, a quantitative analysis of the composition ratio of water bodies from multiple sources in the drainage network can be achieved based on a small amount of characteristic factor detection data, thereby reducing detection costs and improving timeliness.

[0100] Figure 2 This is a flow chart of a method for determining the contribution rate of water types in a drainage network with multiple water sources provided in an embodiment of the present application. Figure 2 This embodiment is in Figure 1 Based on the embodiment, a possible implementation method for determining a characteristic factor set of a multi-source water body based on multiple source types of a multi-source water body in a drainage network is described in detail. Figure 2 As shown, the method comprises:

[0101] S201. For any one source type among a plurality of source types, determine at least one candidate characteristic factor corresponding to the source type.

[0102] Among them, it is necessary to understand what types of water sources may exist in the drainage network, such as municipal sewage, groundwater, river water, rainwater, etc. These source types determine which characteristic factors need to be paid attention to in the future. For any of the multiple source types, the characteristic factor data of water bodies of different source types are obtained by consulting relevant literature, using existing research results, and collecting actual water sample information. The purpose of this step is to find out which characteristic factors can distinguish water bodies of different source types. On the basis of collecting enough information, one or more characteristic factors with stability and specificity are preliminarily screened for each source type of water body. Stability means that the value of the characteristic factor does not change much at different times or conditions; specificity means that the factor can clearly distinguish water bodies of different sources.

[0103] One possible implementation method is to identify the unique physical, chemical, and biological characteristics of each type of water source, and determine at least one candidate characteristic factor corresponding to the source type. For example:

[0104] Industrial wastewater: heavy metal concentration, specific pollutant concentration, etc.;

[0105] Domestic sewage: organic matter content, ammonia nitrogen, phosphate, etc.;

[0106] Rainwater: suspended particulate matter, nitrogen oxides, etc.;

[0107] Surface water: microbial community composition, algae species, etc.

[0108] For any one of the multiple source types, determine at least one candidate characteristic factor corresponding to the source type. Ensure that at least one scientific, effective and reliable candidate characteristic factor is determined for each water source type, providing a solid foundation for the analysis of multi-source water in the drainage network.

[0109] S202. Determine a target feature factor corresponding to a source type from at least one candidate feature factor to obtain M target feature factors.

[0110] Among them, according to the at least one candidate characteristic factor corresponding to each source type determined in step S201, one or more target characteristic factors with stability and specificity are preliminarily screened out from the corresponding at least one candidate characteristic factor for each source type of water body to obtain M target characteristic factors.

[0111] A possible implementation manner is to determine at least one candidate characteristic factor corresponding to each source type in step S201:

[0112] Industrial wastewater: heavy metal concentration, specific pollutant concentration, etc.;

[0113] Domestic sewage: organic matter content, ammonia nitrogen, phosphate, etc.;

[0114] Rainwater: suspended particulate matter, nitrogen oxides, etc.;

[0115] Surface water: microbial community composition, algae species, etc.

[0116] For each source type of water body, one or more target characteristic factors with stability and specificity are preliminarily screened from at least one corresponding candidate characteristic factor:

[0117] Industrial wastewater: heavy metal concentration;

[0118] Domestic sewage: organic matter content, ammonia nitrogen;

[0119] Rainwater: suspended particulate matter, nitrogen oxides;

[0120] Surface water: algae species.

[0121] M target characteristic factors are obtained, namely: heavy metal concentration, organic matter content, ammonia nitrogen, suspended particulate matter, nitrogen oxides, and algae species.

[0122] Through preliminary screening, those characteristic factors that do not have the ability to distinguish water bodies from different sources were eliminated, narrowing the candidate range and providing a more accurate reference for subsequent steps.

[0123] S203. For any one of the M target characteristic factors, determine a second factor parameter of the target characteristic factor in the N source types.

[0124] In which, each of the multiple source types of the multi-source water bodies in the drainage network is sampled to collect corresponding water samples. The collected water samples are analyzed in the laboratory to measure the second factor parameters of the M target characteristic factors screened in step S202 in each water sample.

[0125] One possible implementation method is to determine the actual values ​​of the target characteristic factors in N source types, namely, industrial wastewater, domestic sewage, rainwater, and surface water for any one of the M target characteristic factors, namely, heavy metal concentration, organic matter content, ammonia nitrogen, suspended particulate matter, nitrogen oxides, and algae species, and determine the actual values ​​of the M target characteristic factors in the N source types as the second factor parameters.

[0126] S204. Determine the coefficient of variation of the target characteristic factor within each source type and the average value of the coefficient of variation corresponding to the target characteristic factor based on the M second factor parameters.

[0127] Among them, according to the M second factor parameters, the mean value and standard deviation of the M target characteristic factors in each source type water sample are calculated. According to the mean value and standard deviation of the target characteristic factors in each source type water sample, the coefficient of variation of the target characteristic factor in each source type is determined. Among them, the coefficient of variation is the ratio of the standard deviation to the mean value, which is used to evaluate the stability of the data.

[0128] According to the coefficient of variation of the target characteristic factor within each source type, the coefficient of variation of the characteristic factor of each source type is averaged to calculate the average value of the coefficient of variation corresponding to the target characteristic factor.

[0129] One possible implementation method is to use the following formula to calculate the coefficient of variation of the target characteristic factor within each source type:

[0130] ;

[0131] in, is the coefficient of variation, is the standard deviation of the data sample, is the mean value of the data sample.

[0132] The coefficient of variation of the target characteristic factor in each source type is calculated using the formula. Further, based on the coefficient of variation of the target characteristic factor in each source type, the average value of the coefficient of variation corresponding to the target characteristic factor is calculated, that is, the average value of multiple coefficients of variation of the target characteristic factor in each source type.

[0133] The calculation of the coefficient of variation helps to evaluate the stability of characteristic factors in water bodies of different source types, ensuring that the selected characteristic factor set can effectively characterize the contribution rate of water body types in multi-source water bodies and provide a scientific basis for the management and optimization of drainage pipe networks.

[0134] S205. Sort the N average values ​​of the coefficient of variation in ascending order to obtain the first n average values ​​of the coefficient of variation.

[0135] Among them, the average values of the N coefficient of variation are sorted in ascending order. The smaller the average value of the coefficient of variation, the higher the stability of the characteristic factor, and the easier it is to identify the most stable characteristic factor. Among the sorted characteristic factors, the first n characteristic factors with the smallest average value of the coefficient of variation are selected for retention, and the average value of the first n average values of the coefficient of variation is calculated, that is, the re-average of the first n average values of the coefficient of variation.

[0136] Among them, 2 ≤ n < the water volume of the water source type, and the initial value of n is taken as 2. That is, n is an integer between 2 and the number of water source types minus 1, and the initial value of n is set to 2. This means that at least two target characteristic factors are required for subsequent analysis.

[0137] S206. Determine the average parameter of the first n average values of the coefficient of variation.

[0138] S207. When the average parameter is less than the preset parameter, determine the Q target characteristic factors corresponding to the first n average values of the coefficient of variation as the screening result.

[0139] Among them, determine the average parameter of the first n average values of the coefficient of variation, judge whether the average parameter is less than the preset parameter, and when the average parameter is less than the preset parameter, determine the Q target characteristic factors corresponding to the first n average values of the coefficient of variation as the screening result, that is, determine the characteristic factors corresponding to the first n average values of the coefficient of variation as the target characteristic factors, and obtain a set of characteristic factors composed of Q target characteristic factors.

[0140] A possible implementation method is to calculate the average value of the average values of the coefficient of variation of the retained n characteristic factors. The preset parameter requires that the average value of the average values of the coefficient of variation of these n characteristic factors must be less than 25%. When the average parameter of the first n average values of the coefficient of variation is less than 25%, determine the Q target characteristic factors corresponding to the first n average values of the coefficient of variation as the screening result.

[0141] Specifically, taking the quantitative analysis of the mixing composition ratio of sewage A, sewage B, sewage C, and sewage D as an example, according to literature reports, research bases, and collected water body information, etc., the ammonia nitrogen (NH3-N) concentration, fluoride (F-) concentration, dissolved organic carbon (DOC), and potassium ion (K+) are respectively selected as the characteristic factors for characterizing sewage A, sewage B, sewage C, and sewage D. After calculation, the order of the average values of the coefficient of variation of the 4 indicators in sewage A, sewage B, sewage C, and sewage D from small to large is: NH3-N concentration < F- concentration < K+ concentration < DOC concentration, and the average value of the average values of the coefficient of variation of the NH3-N concentration and the F- concentration is less than 25%, that is, retain the NH3-N and F- concentration indicators as the target characteristic factors.

[0142] Optimizing the selection of characteristic factors reduces unnecessary detection, lowers costs, ensures that the selected set of characteristic factors can effectively characterize the contribution rate of water types in multi-source water bodies, and provides a scientific basis for the management and optimization of drainage networks.

[0143] This embodiment proposes a method for determining the contribution rate of water body types of multi-source water bodies in a drainage network. The method determines at least one candidate characteristic factor for each water source type, and then screens out M target characteristic factors. For these target characteristic factors, calculate their second factor parameters in different source types, and determine the coefficient of variation of each factor. Sort the coefficients of variation, select the top n minimum values, and calculate their average parameters. When the average parameter is lower than the preset threshold, the corresponding Q target characteristic factors are deemed valid, and the contribution rate of the water body type of the multi-source water body in the drainage network is determined by a small number of characteristic factors, which reduces the detection cost and improves efficiency.

[0144] Figure 3 This is a flow chart of a method for determining the contribution rate of water types in a drainage network with multiple water sources provided in an embodiment of the present application. Figure 3 This embodiment is in Figure 1 Based on the embodiment, the method for determining the contribution rate of water body types of multi-source water bodies in the drainage network is described in detail. Figure 3 As shown, the method comprises:

[0145] S301. Determine a characteristic factor set of Q target characteristic factors of the multi-source water body based on multiple source types of the multi-source water body in the drainage network.

[0146] Step S301 is similar to step S101 and will not be described again here.

[0147] S302 . For any one of the Q target characteristic factors, determine the average value and standard deviation of the N second factor parameters of the target characteristic factor.

[0148] For any one of the Q target characteristic factors, a standardized laboratory method is used to determine N second factor parameters of the target characteristic factor, and an average value and a standard deviation of the N second factor parameters of the target characteristic factor are determined.

[0149] A possible implementation method is to use a standardized laboratory method to determine the N second factor parameters of any one of the Q target characteristic factors, that is, to use a standardized laboratory method to measure the Q target characteristic factors of each of the N water samples to obtain the concentration or content data. According to the N second factor parameters of the target characteristic factor, the average value and standard deviation of the N second factor parameters of the target characteristic factor are determined.

[0150] S303. Construct a Q-dimensional coordinate system with each target characteristic factor as a different dimension, and determine the coordinate point of each target characteristic factor in the Q-dimensional coordinate system according to the average value corresponding to the Q target characteristic factors, and determine the error bar of each target characteristic factor in the Q-dimensional coordinate system according to the standard deviation corresponding to the Q target characteristic factors.

[0151] Among them, a multidimensional feature space is constructed based on the Q characteristic factors that are retained. The multidimensional feature space helps to intuitively display the characteristics of water bodies of different source types, which is convenient for subsequent quantitative analysis. With each target characteristic factor as a different dimension, a Q-dimensional coordinate system is constructed. In the Q-dimensional coordinate system, the average value corresponding to the Q target characteristic factors is used as the coordinate point of the scattered points of each target characteristic factor in the Q-dimensional coordinate system, and the standard deviation corresponding to the Q target characteristic factors is used as the error bar of the scattered points of each target characteristic factor in the Q-dimensional coordinate system.

[0152] S304: Determine scatter plots corresponding to multiple target characteristic factors according to the coordinate points and error bars.

[0153] Among them, the scatter plots corresponding to multiple target characteristic factors are determined according to the coordinate points and error bars. By mapping the average value of the characteristic factor to the Q-dimensional coordinate system, the performance of water bodies of different source types on each characteristic factor can be intuitively displayed, helping to identify the differences between water bodies of different source types. The error bar shows the fluctuation range of the characteristic factor value, which helps to evaluate the stability of the characteristic factor in water bodies of different source types.

[0154] One possible implementation method is to use chemical oxygen demand (COD) concentration and hardness (HD) concentration as characteristic factors to characterize municipal sewage and groundwater. Based on the mean and standard deviation of the second factor parameters of the two characteristic factors, chemical oxygen demand (COD) concentration and hardness (HD) concentration, a two-dimensional coordinate system is drawn with the two characteristic factors as coordinate axes. In this coordinate system, the mean values ​​of the two characteristic factors in each source type of water body are used as the coordinate points of the scattered points of each target characteristic factor in the two-dimensional coordinate system, and the standard deviations of the two characteristic factors in each source type of water body are used as the error bars of the scattered points of each target characteristic factor in the two-dimensional coordinate system. The scatter plots corresponding to the two characteristic factors, namely, chemical oxygen demand (COD) concentration and hardness (HD) concentration, are determined, as shown in Figure 2. Figure 4 shown.

[0155] The construction of scatter plots not only helps to visually identify the differences between water bodies of different sources, but also can show the stability of the characteristic factor values ​​through error bars, thereby verifying the effectiveness of the characteristic factor combination system. In addition, such visualization helps to further intuitively reflect the characteristics of multi-source water bodies, providing a solid foundation for subsequent quantitative analysis.

[0156] S305: Determine whether there are overlapping areas among multiple error bars.

[0157] S306. When there is no overlapping area between the multiple error bars, determine the difference coefficient of the two target characteristic factors for any two target characteristic factors among the multiple target characteristic factors.

[0158] Among them, it is determined whether there is an overlapped area in the scatter plot, and when there is no overlapped area in the multiple error bars, the difference coefficient of the two target characteristic factors is determined for any two target characteristic factors among the multiple target characteristic factors. The difference coefficient is used to indicate whether there is a significant difference between the two target characteristic factors. The difference coefficient in this step can be determined based on non-parametric multivariate analysis of variance, for example, and the specific determination process can refer to the existing non-parametric multivariate analysis of variance process, which will not be repeated in this embodiment.

[0159] One possible implementation method is, for example: Figure 4 Are there overlapping areas among multiple error bars in the scatter plot? Figure 4 There is no overlapping area among the multiple error bars. The nonparametric multivariate analysis of variance method is further used to evaluate the difference coefficient between municipal sewage and groundwater under the COD-HD concentration characteristic factor combination system.

[0160] The coefficient of difference is used to indicate whether there is a significant difference between the two target characteristic factors. Specifically, for example, if the coefficient of difference is greater than 0.05, it is determined that the data distribution of COD concentration and HD concentration between municipal sewage and groundwater is not significantly different, that is, COD concentration and HD concentration cannot be effectively used for quantitative analysis of the source composition of the municipal sewage and groundwater mixed system; for example, if the coefficient of difference is less than 0.05, it is determined that the data distribution of COD concentration and HD concentration between municipal sewage and groundwater is significantly different, that is, COD concentration and HD concentration can be effectively used for quantitative analysis of the source composition of the municipal sewage and groundwater mixed system.

[0161] S307. When the multiple difference coefficients corresponding to the multiple target characteristic factors indicate that there are obvious differences among the multiple target characteristic factors, determine that the characterization parameter is a first characterization parameter, and the first characterization parameter is used to indicate that the characteristic factor set can characterize the water body type contribution rate of the multi-source water body.

[0162] A possible implementation method is to determine the characterization parameter as the first characterization parameter when the multiple difference coefficients corresponding to the multiple target characteristic factors indicate that there are obvious differences in the multiple target characteristic factors, that is, when the difference coefficient is less than 0.05. The first characterization parameter is used to indicate that the characteristic factor set can characterize the water type contribution rate of multi-source water bodies.

[0163] S308. When the characterization parameter indicates that the characteristic factor set is capable of characterizing the water type contribution rate of the multi-source water body, determine the first factor parameters of the Q target characteristic factors in the multi-source water body.

[0164] Among them, when the characterization parameter indicates that the characteristic factor set can characterize the water type contribution rate of the multi-source water body, the first factor parameters of Q target characteristic factors in the multi-source water body are determined, and the first factor parameters refer to the parameters of multiple target characteristic factors in the multi-source water body.

[0165] S309. According to the mean value, standard deviation and first factor parameter corresponding to the Q target characteristic factors, the parameter values ​​corresponding to the multiple source types are determined using the chemical mass balance equation.

[0166] S310. Determine the contribution rate of each source type in the multi-source water body according to the parameter values ​​corresponding to the multiple source types.

[0167] One possible implementation method is to use the chemical mass balance equation as a constraint condition, and use the Markov chain Monte Carlo algorithm to generate multiple parameter values ​​that meet the constraint condition based on the mean value, standard deviation and first factor parameter corresponding to the Q target characteristic factors. According to the parameter values ​​corresponding to multiple source types, the contribution rate of each source type in the multi-source water body is determined.

[0168] This embodiment proposes a method for determining the contribution rate of water body types in multi-source water bodies in a drainage network. The method determines a characteristic factor set containing Q target characteristic factors, and calculates the mean and standard deviation of the second factor parameters in N source types. Construct a Q-dimensional coordinate system, each dimension corresponds to a target characteristic factor, and the coordinate point position is determined by the mean value, and the error bar length is determined by the standard deviation. The distinguishing ability of the characteristic factors is evaluated by analyzing the overlap of the scatter plot and the error bars. If the error bars do not overlap and the coefficient of difference shows a significant difference, it is confirmed that the characteristic factor set can effectively characterize the water body type. Furthermore, the contribution rate of each source type is calculated based on the statistical information of the characteristic factors and the chemical mass balance equation. Accurate identification and management of different water sources in the drainage network is achieved.

[0169] Figure 5 A schematic diagram of a device for determining the contribution rate of water types of multi-source water bodies in a drainage network provided by this application is shown in FIG. Figure 5 As shown, the device 500 for determining the contribution rate of water body types of multi-source water bodies in a drainage network provided in this embodiment includes:

[0170] A determination module 501 is used to determine a characteristic factor set of the multi-source water body based on multiple source types of the multi-source water body in the drainage network, wherein the characteristic factor set includes: multiple target characteristic factors corresponding to the source types;

[0171] A processing module 502 is used to draw a corresponding scatter plot based on multiple target characteristic factors;

[0172] The determination module 501 is further used to determine, according to the scatter plot, a characterization parameter of the characteristic factor set, wherein the characterization parameter is used to indicate whether the characteristic factor set can characterize the water body type contribution rate of the multi-source water body;

[0173] The determination module 501 is further configured to determine the contribution rates of the multiple source types in the multi-source water body according to the first factor parameter and the second factor parameter when the characterization parameter indicates that the characteristic factor set can characterize the contribution rate of the water body type of the multi-source water body;

[0174] The first factor parameters are parameters of the multiple target characteristic factors in the multi-source water body, and the second factor parameters are parameters of the multiple target characteristic factors in the water body corresponding to each source type.

[0175] Optionally, the determination module 501 is further configured to determine, for any one of the multiple source types, at least one candidate characteristic factor corresponding to the source type;

[0176] The determination module 501 is further configured to determine a target characteristic factor corresponding to the source type from the at least one candidate characteristic factor;

[0177] The processing module 502 is further configured to use the target feature factors corresponding to the multiple source types as the feature factor set.

[0178] Optionally, the determination module 501 is further configured to determine, for any one of the M target characteristic factors, a second factor parameter of the target characteristic factor in the N source types;

[0179] The determination module 501 is further used to determine the coefficient of variation of the target characteristic factor in each source type and the average value of the coefficient of variation corresponding to the target characteristic factor according to the M second factor parameters;

[0180] The processing module 502 is also used to screen the M target characteristic factors according to the average values ​​of the N coefficients of variation corresponding to the M target characteristic factors, to obtain Q target characteristic factors, and use the Q target characteristic factors as the characteristic factor set, wherein M≥N≥Q, and N, M, and Q are all positive integers greater than 2.

[0181] Optionally, the processing module 502 is further used to sort the N average values ​​of the coefficient of variation in order from small to large to obtain the first n average values ​​of the coefficient of variation;

[0182] The determination module 501 is further used to determine an average parameter of the first n average values ​​of the coefficients of variation;

[0183] The determination module 501 is further configured to determine, when the average parameter is less than a preset parameter, the Q target characteristic factors corresponding to the average values ​​of the first n coefficients of variation as screening results.

[0184] Optionally, the determination module 501 is further configured to determine, for any one of the Q target characteristic factors, an average value and a standard deviation of N second factor parameters of the target characteristic factor;

[0185] The processing module 502 is further used to construct a Q-dimensional coordinate system with each target characteristic factor as a different dimension;

[0186] The determination module 501 is further used to determine the coordinate point of each target characteristic factor in the Q-dimensional coordinate system according to the average values ​​corresponding to the Q target characteristic factors, and to determine the error bar of each target characteristic factor in the Q-dimensional coordinate system according to the standard deviations corresponding to the Q target characteristic factors;

[0187] The determination module 501 is further configured to determine a scatter plot corresponding to the plurality of target characteristic factors according to the coordinate points and the error bars.

[0188] Optionally, the device for determining the water type contribution rate of the multi-source water body in the drainage network further includes: a judgment module 503;

[0189] The judging module 503 is used to judge whether there is an overlapping area between the plurality of error bars;

[0190] The determination module 501 is further configured to determine, for any two target characteristic factors among the multiple target characteristic factors, a difference coefficient of the two target characteristic factors when there is no overlapping area in the multiple error bars, wherein the difference coefficient is used to indicate whether there is a significant difference between the two target characteristic factors;

[0191] The determination module 501 is also used to determine that the characterization parameter is a first characterization parameter when the multiple difference coefficients corresponding to the multiple target characteristic factors indicate that there are obvious differences between the multiple target characteristic factors. The first characterization parameter is used to indicate that the characteristic factor set can characterize the water body type contribution rate of the multi-source water body.

[0192] Optionally, the determination module 501 is further used to determine the first factor parameter of the Q target characteristic factors in the multi-source water body;

[0193] The determination module 501 is further used to determine parameter values ​​corresponding to the multiple source types using a chemical mass balance equation according to the average values, standard deviations and the first factor parameters corresponding to the Q target characteristic factors;

[0194] The determination module 501 is further used to determine the contribution rate of each source type in the multi-source water body according to the parameter values ​​corresponding to the multiple source types.

[0195] This embodiment provides a device for determining the contribution rate of water body types of multi-source water bodies in a drainage network, which can execute the method for determining the contribution rate of water body types of multi-source water bodies in a drainage network provided by the above method embodiment. Its implementation principle and technical effects are similar, and this embodiment will not be repeated here.

[0196] Figure 6 This is a schematic diagram of the structure of a device for determining the water type contribution rate of a multi-source water body in a drainage network provided by this application. Figure 6 As shown, the present application provides a device for determining the contribution rate of water body types of multi-source water bodies in a drainage network. The device 600 for determining the contribution rate of water body types of multi-source water bodies in a drainage network includes: a receiver 601, a transmitter 602, a processor 603 and a memory 604.

[0197] Receiver 601, used for receiving instructions and data;

[0198] A transmitter 602, used for sending instructions and data;

[0199] Memory 604, used to store computer-executable instructions;

[0200] The processor 603 is used to execute the computer-executable instructions stored in the memory 604 to implement the various steps executed by the method for determining the water body type contribution rate of the multi-source water body in the drainage network in the above embodiment. For details, please refer to the relevant description in the embodiment of the method for determining the water body type contribution rate of the multi-source water body in the drainage network.

[0201] Optionally, the memory 604 may be independent or integrated with the processor 603 .

[0202] When the memory 604 is independently provided, the electronic device further includes a bus for connecting the memory 604 and the processor 603 .

[0203] The present embodiment provides a device for determining the contribution rate of water body types of multi-source water bodies in a drainage network, which can execute the method for determining the contribution rate of water body types of multi-source water bodies in a drainage network provided by the above method embodiment. Its implementation principle and technical effects are similar, and are not described in detail in the present embodiment.

[0204] The present application also provides a computer storage medium, in which computer execution instructions are stored. When a processor executes the computer execution instructions, a method for determining the water body type contribution rate of multi-source water bodies in a drainage network as performed by the water body type contribution rate determination device for multi-source water bodies in a drainage network as mentioned above is implemented.

[0205] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or transient medium). As is known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0206] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0207] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for determining the contribution rate of water body types in multi-source water bodies of a drainage network, characterized in that: The method comprises: Based on multiple source types of the multi-source water body in the drainage network, determining a characteristic factor set of the multi-source water body, the characteristic factor set comprising: M target characteristic factors corresponding to the source type; For any one of the Q target characteristic factors, determine the mean value and standard deviation of each second factor parameter of the target characteristic factor; wherein the Q target characteristic factors are screened from the M target characteristic factors; and the second factor parameter is the parameter of the target characteristic factor in the water body corresponding to each source type; A Q-dimensional coordinate system is constructed with each target characteristic factor as a different dimension, and the coordinate point of each target characteristic factor in the Q-dimensional coordinate system is determined according to the average value corresponding to the Q target characteristic factors, and the error bar of each target characteristic factor in the Q-dimensional coordinate system is determined according to the standard deviation corresponding to the Q target characteristic factors; Determine a scatter plot corresponding to the M target characteristic factors according to the coordinate points and the error bars; Determine whether there is an overlapping area among the plurality of error bars; If not, then for any two target characteristic factors among the M target characteristic factors, determine the difference coefficient of the two target characteristic factors, where the difference coefficient is used to indicate whether there is a significant difference between the two target characteristic factors; When the multiple difference coefficients corresponding to the M target characteristic factors indicate that the M target characteristic factors have obvious differences, determining the characterization parameter as a first characterization parameter, where the first characterization parameter is used to indicate that the characteristic factor set can characterize the water body type contribution rate of the multi-source water body; Determine a first factor parameter of the Q target characteristic factors in the multi-source water body; wherein the first factor parameter is a parameter of the Q target characteristic factors in the multi-source water body; Determine the parameter values ​​corresponding to the multiple source types using a chemical mass balance equation according to the average values, standard deviations and the first factor parameters corresponding to the Q target characteristic factors; The contribution rate of each source type in the multi-source water body is determined according to the parameter values ​​corresponding to the multiple source types.

2. The method according to claim 1, characterized in that The step of determining a set of characteristic factors of the multi-source water body based on the multiple source types of the multi-source water body in the drainage network includes: For any one of the multiple source types, determining at least one candidate characteristic factor corresponding to the source type; Determine a target characteristic factor corresponding to the source type from the at least one candidate characteristic factor; The target feature factors corresponding to the multiple source types are taken as the feature factor set.

3. The method according to claim 2, characterized in that The step of taking the target characteristic factors corresponding to the multiple source types as the characteristic factor set includes: For any one of the M target characteristic factors, determining a second factor parameter of the target characteristic factor in the N source types; Determine the coefficient of variation of the target characteristic factor in each source type and the average value of the coefficient of variation corresponding to the target characteristic factor according to the M second factor parameters; According to the average values ​​of the N coefficients of variation corresponding to the M target characteristic factors, the M target characteristic factors are screened to obtain Q target characteristic factors, and the Q target characteristic factors are used as the characteristic factor set, wherein M≥N≥Q, and N, M, and Q are all positive integers greater than 2.

4. The method according to claim 3, characterized in that The screening process is performed on the M target characteristic factors according to the average values ​​of the N coefficients of variation corresponding to the M target characteristic factors to obtain the Q target characteristic factors, including: The N average values ​​of the coefficient of variation are sorted in order from small to large to obtain the first n average values ​​of the coefficient of variation; Determining an average parameter of the first n coefficient of variation means; When the average parameter is less than the preset parameter, the Q target characteristic factors corresponding to the average values ​​of the first n coefficients of variation are determined as screening results.

5. A device for determining the contribution rate of water body types of multi-source water bodies in a drainage network, characterized in that: The device comprises: A determination module, configured to determine a characteristic factor set of the multi-source water body based on multiple source types of the multi-source water body in the drainage network, wherein the characteristic factor set includes: M target characteristic factors corresponding to the source type; A processing module, for determining, for any one of the Q target characteristic factors, the mean value and standard deviation of each second factor parameter of the target characteristic factor; wherein the Q target characteristic factors are screened from the M target characteristic factors; the second factor parameter is the parameter of the target characteristic factor in the water body corresponding to each source type; a Q-dimensional coordinate system is constructed with each target characteristic factor as a different dimension, and the coordinate point of each target characteristic factor in the Q-dimensional coordinate system is determined according to the mean value corresponding to the Q target characteristic factors, and the error bar of each target characteristic factor in the Q-dimensional coordinate system is determined according to the standard deviation corresponding to the Q target characteristic factors; a scatter plot corresponding to the M target characteristic factors is determined according to the coordinate point and the error bar; The determination module is further used to determine whether there are overlapping areas of the plurality of error bars; if not, for any two of the M target characteristic factors, determine the difference coefficient of the two target characteristic factors, the difference coefficient is used to indicate whether there is a significant difference between the two target characteristic factors; when the plurality of difference coefficients corresponding to the M target characteristic factors indicate that there is a significant difference between the M target characteristic factors, determine the characterization parameter as the first characterization parameter, the first characterization parameter is used to indicate that the characteristic factor set can characterize the water body type contribution rate of the multi-source water body; The determination module is also used to determine the first factor parameters of the Q target characteristic factors in the multi-source water body; wherein the first factor parameters are the parameters of the Q target characteristic factors in the multi-source water body; based on the average value, standard deviation and the first factor parameters corresponding to the Q target characteristic factors, the parameter values ​​corresponding to the multiple source types are determined using a chemical mass balance equation; based on the parameter values ​​corresponding to the multiple source types, the contribution rate of each source type in the multi-source water body is determined.

6. A device for determining the contribution rate of water types of multi-source water bodies in a drainage network, characterized in that: include: Memory; processor; Wherein, the memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method for determining the water body type contribution rate of multi-source water bodies in a drainage network according to any one of claims 1-4.

7. A computer storage medium, characterized in that: The computer storage medium stores computer execution instructions, which, when executed by a processor, are used to implement the method for determining the water body type contribution rate of multi-source water bodies in a drainage network according to any one of claims 1 to 4.

Images