Sewage analysis method, sewage source type identification method, storage medium and treatment device

Abstract

A sewage analysis method, a sewage source type identification method, a storage medium and a treatment device.The sewage analysis method includes: based on data from a plurality of sewage samples, screening out key feature factors capable of responding to sewage source types, the data of each sewage sample including: sewage source types, physicochemical indexes and concentrations; pollution sources of the plurality of sewage samples are not completely the same; and based on the key characteristic factors and the data of the plurality of sewage samples, determining the water quality characteristic parameters for distinguishing different pollution sources and the threshold range of the water quality characteristic parameters, so that the water quality characteristics influenced by different pollution sources can be reflected more accurately and comprehensively.

Description

Technical Field

[0001] This article relates to water quality assessment techniques, particularly wastewater analysis, wastewater source type identification methods, storage media, and treatment devices. Background Technology

[0002] Among numerous pollution sources, wastewater treatment plant discharge is a significant point source pollution in the watershed environment. The concentration of pollutants in the discharged effluent is higher than that in natural water bodies. Among these pollutants, nutrients, metallic elements, and trace organic matter can directly or indirectly affect aquatic ecological functions. Although environmental standards are constantly being improved and the effluent quality of wastewater treatment plants has been significantly enhanced, long-term continuous discharge still poses ecological risks. Therefore, relevant personnel need to analyze the wastewater to explore its impact on the river water environment. Summary of the Invention

[0003] This application provides a wastewater analysis and wastewater source type identification method, a storage medium, and a treatment device.

[0004] The wastewater analysis method provided in this application includes: Based on data from multiple wastewater samples, key characteristic factors that can respond to wastewater source types were screened. The data for each wastewater sample included: wastewater source type, physicochemical indicators, and concentration; the pollution sources of the multiple wastewater samples were not completely the same. Based on the key feature factors and the data from the multiple wastewater samples, water quality feature parameters and their threshold ranges for distinguishing different pollution sources are determined.

[0005] The wastewater source type identification method provided in this application includes: Based on wastewater data from the wastewater source type to be identified, water quality characteristic parameters are calculated; the wastewater data from the wastewater source type to be identified includes: physicochemical indicators and concentrations; The calculated water quality characteristic parameter values ​​are compared with the threshold range of water quality characteristic parameters corresponding to the pre-stored known sewage source types. If the calculated water quality characteristic parameter value falls within the threshold range of a known sewage source type, the known sewage source type is taken as the identified sewage source type. At least one of the water quality characteristic parameters and the threshold range of the water quality characteristic parameters corresponding to the pre-stored known sewage source types is determined according to the sewage analysis method described in the embodiments of this application.

[0006] The computer-readable storage medium provided in the embodiments of this application stores one or more programs, which can be executed by one or more processors to implement the wastewater analysis method or the wastewater source type identification method as described in the embodiments of this application.

[0007] The processing apparatus provided in this application embodiment includes: A storage module is configured to store computer program instructions that can be executed on a processor; The processing module is configured to execute the computer program instructions to implement the wastewater analysis method as described in the embodiments of this application or the wastewater source type identification method as described in the embodiments of this application.

[0008] The scheme described in this application can obtain water quality characteristic parameters for distinguishing different pollution sources by analyzing wastewater. Since these characteristic parameters are obtained based on multiple physicochemical indicators and multiple pollution sources, they are multi-level data that can more accurately and comprehensively reflect the water quality characteristics affected by different pollution sources, providing support for the effective analysis of water quality environmental conditions.

[0009] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the application. Other advantages of this application can be realized and obtained by means of the embodiments described in the description and the accompanying drawings. Attached Figure Description

[0010] The accompanying drawings are used to provide an understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0011] Figure 1 A flowchart of a wastewater analysis method provided in an embodiment of this application; Figure 2 A schematic diagram illustrating the changes in measured data of physicochemical index concentrations provided in the embodiments of this application; Figure 3 A schematic diagram illustrating the linear fitting relationship between two sets of physicochemical indicators provided as an application example of this application; Figure 4 A schematic diagram illustrating the threshold ranges of water quality characteristic parameters under different pollution sources, provided as an application example of this application. Figure 5 A schematic diagram illustrating the relationship between water quality characteristic parameter values ​​obtained from different sampling points under different pollution sources and the known threshold range of water quality characteristic parameters, provided as an application example of this application; Figure 6 A flowchart of the wastewater source type identification method provided in the embodiments of this application; Figure 7 This is a block diagram of a processing device provided in an embodiment of this application. Detailed Implementation

[0012] This application describes several embodiments, but these descriptions are exemplary and not limiting, and it will be apparent to those skilled in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are also possible. Unless specifically limited, any feature or element of any embodiment may be used in combination with, or may replace, any feature or element of any other embodiment.

[0013] This application includes and contemplates combinations of features and elements known to those skilled in the art. The embodiments, features, and elements disclosed in this application can also be combined with any conventional features or elements to form unique inventive solutions. Any feature or element of any embodiment can also be combined with features or elements from other inventive solutions to form another unique inventive solution. Therefore, it should be understood that any feature shown and / or discussed in this application can be implemented individually or in any suitable combination. Therefore, the embodiments are not limited except by the limitations imposed by the appended claims and their equivalents. Furthermore, various modifications and changes can be made within the scope of the appended claims.

[0014] Furthermore, in describing representative embodiments, the specification may have presented methods and / or processes as a specific sequence of steps. However, the method or process should not be limited to the specific order of steps described herein, to the extent that it does not depend on such a specific order. As will be understood by those skilled in the art, other sequences of steps are also possible. Therefore, the specific order of steps set forth in the specification should not be construed as a limitation of the claims. Moreover, the claims concerning the method and / or process should not be limited to the steps performed in the written order, and those skilled in the art will readily understand that these orders can be varied and still remain within the spirit and scope of the embodiments of this application.

[0015] This application provides a wastewater analysis method, such as... Figure 1 As shown, the method includes: Step S101, based on data from multiple wastewater samples, filters out key characteristic factors that can respond to wastewater source types; wherein, the data for each wastewater sample includes: wastewater source type, physicochemical indicators, and concentration; the pollution sources of the multiple wastewater samples are not completely the same; for example, the wastewater source type of each wastewater sample is any one of domestic sewage, industrial wastewater, and mixed wastewater that is a mixture of domestic sewage and industrial wastewater; The physicochemical indicators refer to basic parameters that can be directly measured by physical or chemical means and can quantitatively describe the characteristics of wastewater. The types of physicochemical indicators can be physicochemical indicators (such as temperature T, pH value, dissolved oxygen DO) and nutrients (such as total nitrogen TN, ammonia nitrogen NH4). + Nitrate nitrogen (NO3) - One or more of the following: metallic elements (such as Al, Ca, Fe, K, Mg) and anions; Key characteristic factors that can respond to wastewater source type refer to physicochemical indicators that can rapidly and significantly show differences in concentration or composition with different wastewater source types in wastewater and its potential contact environmental media (groundwater, soil, receiving water bodies, etc.). For example, NH3-N, TP, COD, and surfactant LAS are active in domestic sewage; characteristic heavy metals, chlorides, benzene compounds, etc. are active in industrial wastewater. Therefore, NH3-N, TP, COD, and surfactant LAS can be used as key characteristic factors that respond to wastewater source type. The multiple wastewater samples described in this application embodiment can be obtained by collecting water samples from a single water period or multiple water periods by setting up sampling points in the upper and lower reaches of rivers affected by wastewater discharge. Step S102 determines the water quality characteristic parameters and their threshold ranges used to distinguish different pollution sources based on the key characteristic factors and the data from the multiple wastewater samples.

[0016] The scheme described in this application can obtain water quality characteristic parameters for distinguishing different pollution sources by analyzing wastewater. Since these characteristic parameters are obtained based on multiple physicochemical indicators and multiple pollution sources, they are multi-level data that can more accurately and comprehensively reflect the water quality characteristics affected by different pollution sources, providing support for the effective analysis of water quality environmental conditions.

[0017] In one exemplary embodiment, the key characteristic factors are screened using statistical methods. For example, a statistical hypothesis testing method is used to perform a significant difference analysis to obtain the key characteristic factors. This screening method can quantify and remove the "noise" of random fluctuations in physicochemical indicators, so that the obtained factors can accurately follow the changes of different pollution source types, and can provide a false positive probability α and statistical power β, making environmental impact assessments, acceptance tests, and process modifications have acceptable reference indicators.

[0018] In an exemplary embodiment, the method of determining water quality characteristic parameters for distinguishing different pollution sources based on the key feature factors and data from the plurality of wastewater samples includes: Two different sets of physicochemical indicators are determined based on the physicochemical indicators of the multiple wastewater samples, and the concentration and ratio of the two sets of physicochemical indicators are used as the water quality characteristic parameters; the two different sets of physicochemical indicators refer to the fact that the physicochemical indicators contained in the two sets of physicochemical indicators are not completely the same. Wherein, at least one of the two sets of physicochemical indicators contains all or part of the key characteristic factors.

[0019] The embodiments of this application determine water quality characteristic parameters around key characteristic factors, which can reduce the introduction of invalid data and increase the introduction of valid data (i.e. data that is sensitive to pollution sources), ensuring that water quality characteristic parameters can effectively distinguish different pollution sources.

[0020] In an exemplary embodiment, the method of determining two different sets of physicochemical indicators based on the physicochemical indicators of the plurality of wastewater samples includes: Two sets of physicochemical indicators are randomly selected from all the physicochemical indicators involved in the multiple wastewater samples. The concentrations of the two selected sets of physicochemical indicators are linearly fitted, and the two sets of physicochemical indicators with the highest degree of fit are selected as the final two sets of physicochemical indicators. In this embodiment of the application, there are various linear fitting models that can be selected, such as the exponential linear model (i.e., the y=kx+b model) and the reciprocal linear model (i.e., the y = a / x + b model), etc.

[0021] In this embodiment, two sets of physicochemical indicators with a linear relationship are selected to participate in the ratio calculation. The ratio is stable, and the mean and standard deviation of the corresponding ratio are also constant, making it more suitable for determining the threshold range.

[0022] In one exemplary embodiment, the data for each wastewater sample further includes: water period; the type of water period may include: high water period, normal water period, and low water period; The method for determining the threshold range of water quality characteristic parameters used to distinguish different pollution sources includes: Perform the following operations on wastewater samples from the same pollution source: Calculate the water quality characteristic parameter values ​​for each water period; calculate the mean and standard deviation of the water quality characteristic parameters based on the values ​​for all water periods; determine the threshold range of the water quality characteristic parameters for the pollution source based on the mean and standard deviation. For example, the method for determining the threshold range based on the mean and standard deviation can be the standard deviation method, which, based on the assumption of a normal distribution of the data, uses multiples of the standard deviation to determine the threshold range, such as mean ± 1 standard deviation σ (covering approximately 68% of the data), mean ± 2 standard deviation σ (covering approximately 95% of the data), and mean ± 3 standard deviation σ (covering approximately 99.7% of the data).

[0023] In one exemplary embodiment, the method further includes: Based on data from multiple wastewater samples, in addition to performing the operation of screening out key characteristic factors that can respond to wastewater source types, a water quality assessment is also conducted; the water quality assessment includes one or more of the following: whether the water quality has changed and whether the water quality has been polluted.

[0024] In an exemplary embodiment, the data for each wastewater sample further includes: the area where the sampling point is set; for example, multiple sampling points may be arranged upstream and downstream of the sewage outlet of a river, such as setting sampling points 500 meters upstream of the sewage outlet, 500 meters downstream of the sewage outlet, and 4500 meters downstream of the sewage outlet. In assessing water quality conditions, including whether water quality has changed, an evaluation is conducted based on data from multiple wastewater samples, including: By comparing wastewater samples from upstream and downstream sampling points of the discharge outlet, a change in water quality is determined if the concentration change of any physicochemical indicator exceeds a preset threshold.

[0025] To simplify the calculations, factor analysis can be used to screen the physicochemical indicators involved in the sewage samples from upstream and downstream of the discharge outlet to reduce the dimensionality. Only the concentration changes of the physicochemical indicators screened by factor analysis are compared.

[0026] In one exemplary embodiment, when the water quality condition includes whether the water has been polluted, a water quality assessment is performed based on data from multiple wastewater samples, including: For wastewater samples from the same pollution source, the following operations are performed: Calculate the average concentration of each physicochemical indicator among all or some of the physicochemical indicators involved in the wastewater samples from the same pollution source; compare the average concentration of each physicochemical indicator with the pre-stored standard concentration of that physicochemical indicator to determine the pollution index of each physicochemical indicator; determine the average pollution index based on the pollution index of each physicochemical indicator; and determine the water quality pollution level based on the average pollution index. When the water pollution level from any pollution source reaches the preset pollution level, it is determined that the water from that pollution source has been polluted.

[0027] For example, the average pollution index can be calculated by averaging the pollution indices of each physicochemical indicator. Generally speaking, the higher the average pollution index, the higher the corresponding water pollution level. For example, the average pollution index can be classified into any of the following ranges: <0.1, [0.1, 0.3), [0.3, 0.5), [0.5, 1.0), [1.0, 5.0), and ≥5.0. These six ranges correspond to water pollution levels 1 (clean), 2 (relatively clean), 3 (lightly polluted), 4 (moderately polluted), 5 (heavily polluted), and 6 (severely polluted), respectively.

[0028] The embodiments of this application enable quantitative assessment of water quality based on data, avoiding subjective human judgment, making the results more convincing, and the assessment method is repeatable, facilitating verification and promotion.

[0029] The technical solutions described in the above embodiments of this application will be explained below with reference to specific examples.

[0030] This application example uses wastewater samples collected from typical tributaries in the Nanjing and Wuhan sections of the Yangtze River Basin during the high-water, normal-water, and low-water seasons of 2020-2021. The typical tributaries mainly include rivers in the Nanjing section (Jinchuan River, Qinhuai New River, and Macha River) and the Wuhan section (Hanbei River and Hezha River), which are affected by different types of wastewater sources (domestic sewage, industrial wastewater, or mixed wastewater). The basic principle for sampling point placement is to place the sampling points 500 meters upstream of the discharge outlet (denoted as SO-U). 500 500 meters downstream of the sewage outlet (referred to as SO-D) 500 ) and 4500 meters downstream of the sewage outlet (denoted as SO-D) 4500 Sampling points were set up, with a different number of sampling points on each river (for example, 2 for Jinchuan River, 3 for Qinhuai New River, 3 for Macha River, 4 for Hanbei River, and 2 for Hezha River), for a total of 14 sampling points. Water samples were collected from each sampling point for 3 water periods, for a total of 42 water samples. After collecting approximately 5 liters of water sample from a depth of about 0.5 meters below the river surface using an acrylic water sampler, the sample is stored in a pre-cleaned plastic or glass container. Because different methods exist for detecting various physicochemical indicators in the water sample, some samples may require filtration through a 0.45 μm filter membrane and the addition of specific amounts of sulfuric acid, nitric acid, or other preservatives for fixation and preservation. The collected samples are stored at approximately 4°C before analysis to minimize physicochemical reactions. Samples from each sampling point were analyzed, and their physicochemical indicators were measured in multiple dimensions to obtain measured data on these indicators and their concentrations. These physicochemical indicators included temperature (T), pH, oxidation-reduction potential (ORP), conductivity (EC), dissolved oxygen (DO), and total dissolved solids (TDS). Other indicators included chemical oxygen demand (COD), dissolved organic carbon (DOC), total nitrogen (TN), and ammonia nitrogen (NH4). + ), nitrate nitrogen (NO3) - Total phosphorus (TP), phosphate (PO4) 3- Nutrients such as silicates (Si); anions (F) - Cl - SO4 2- ) and metallic elements (Al, Ca, Fe, K, Mg, Mn, Na); Physicochemical indicators can be obtained on-site by using a portable multi-parameter water quality analyzer, or by testing the water sample after it has been transferred to a laboratory. Nutrients can be obtained by testing the water sample using traditional experimental methods. Anions and metal elements can be obtained by testing the water sample using ion chromatography and inductively coupled plasma atomic emission spectrometry. The water quality was assessed based on the obtained physicochemical indicators and their measured concentrations: Compare the changes in the measured concentrations of physicochemical indicators at locations 500 meters upstream and 500 meters downstream of the sewage outlet, such as... Figure 2 As shown, the concentrations of physicochemical indicators (excluding Al, Fe, and Mn) 500 meters downstream of the sewage outlet are about 5%-70% higher than the corresponding concentrations 500 meters upstream of the sewage outlet, indicating that the water quality changes after passing through the sewage outlet. Factor analysis was used to select a subset of physicochemical indicators from all samples to determine whether water quality was polluted. The average concentration of each indicator was then calculated. , This represents the i-th evaluation indicator. Compared with the standard concentration of this evaluation index (The standard concentration) The pollution index of this assessment indicator can be obtained by comparing it with the standard limits of physicochemical indicators in Class III water of the "Surface Water Environmental Quality Standard". The average pollution index is determined based on the pollution indices of all assessment indicators, using the following formula: ; ; WQI This represents the average pollution index; n It is the number of total evaluation indicators; It is the first i Pollution index of each assessment indicator; It is the first i The average measured concentration of each evaluation indicator; It is the first i The standard concentration of each evaluation indicator; The average pollution index range of the water quality in the sampling area is divided into six levels: <0.1, [0.1, 0.3), [0.3, 0.5), [0.5, 1.0), [1.0, 5.0) and ≥5.0, which correspond to 1 (clean), 2 (relatively clean), 3 (slightly polluted), 4 (moderately polluted), 5 (heavily polluted) and 6 (severely polluted), respectively. Calculations show that the river water quality affected by industrial wastewater discharge is moderately polluted, with an average pollution index exceeding 0.5, which is higher than that of domestic sewage and mixed wastewater. Based on the above assessment, it can be determined that the water quality downstream of the sewage outlet is deteriorating. Statistical hypothesis testing methods were used to screen key characteristic factors sensitive to wastewater source types from all physicochemical indicators; these key characteristic factors included F. - Cl - SO4 2- The concentrations of key characteristic factors, including Al, Ca, Fe, Mg, Mn, and Na, varied significantly in rivers under the influence of different wastewater source types (p<0.05, where p is a parameter for determining the result of the hypothesis test; the smaller the p value, the more significant the result; p<0.05 indicates a statistically significant difference). Two different sets of physicochemical indicators were selected from all physicochemical indicators, focusing on key characteristic factors such as anions and metal elements. The concentrations and ratios of the two selected sets of physicochemical indicators showed the highest linear fit. After several trials, these two sets of physicochemical indicators were determined to be F. - Cl - SO4 2- Ca, K, Na, Mg and COD, DOC, TN, NH4 + NO3 - TP; Figure 3 The figure shows the linear fitting relationships of various two sets of physicochemical indicators (only some of the results are shown in the figure). Each column in the figure represents the linear relationship of the concentration and ratio of various two sets of physicochemical indicators under the same type of wastewater source, and each row represents the linear relationship of the concentration and ratio of the same two sets of physicochemical indicators under different types of wastewater sources. As can be seen from the figure, selecting F... - Cl - SO4 2- Ca, K, Na, Mg and COD, DOC, TN, NH4 + NO3- TP, as two distinct sets of physicochemical indicators, showed the best linear fit between their concentration and ratio. The ratio of the concentrations of two selected different physicochemical indicators is used as a water quality characteristic parameter. The threshold range of this water quality characteristic parameter in different pollution sources is determined as follows: For wastewater samples from the same pollution source, the following operations are performed: Calculate the water quality characteristic parameter value for each water period; calculate the mean and standard deviation of the water quality characteristic parameter based on the values ​​for all water periods; determine the threshold range of the water quality characteristic parameter for this pollution source based on the mean and standard deviation, using the following calculation formula: ; ; ; ; m Indicates the first m Each water season, m =1, ..., 3; M Indicates the total number of water seasons. M =3; Indicates the first m Water quality characteristic parameters for each water period; and These represent the summation of the concentrations of the two selected physicochemical indicators, respectively. μ This represents the average value of water quality characteristic parameters. σ The standard deviation of water quality characteristic parameters R The threshold range for water quality characteristic parameters; The calculation results are shown in Table 1;

[0031] Table 1 The threshold ranges for the aforementioned water quality characteristic parameters are calculated based on their mean and standard deviation, and these ranges cover 95% of the data. The threshold range for water quality characteristic parameters corresponding to domestic sewage is <6.22, the threshold range for mixed wastewater is 6.22-9.86, and the threshold range for industrial wastewater is >9.86. Figure 4 As shown; the value of the water quality characteristic parameter of the mixed wastewater depends on the proportion weight of domestic sewage and industrial wastewater. The lower the ratio, the greater the proportion of domestic sewage, and the higher the ratio, the greater the proportion of industrial wastewater.

[0032] The threshold range of the water quality characteristic parameters obtained above was verified: five characteristic sections (i.e., five sampling points) in different regions (river section in Wuhan), two sewage outlets (500 meters downstream of the second sewage outlet), and long distance (4500 meters downstream of the sewage outlet) were selected to verify the threshold range of the water quality characteristic parameters. The verification results are shown in Table 2.

[0033] Table 2 As can be seen from Table 2, the water quality characteristic parameter values ​​obtained from different sampling points under different pollution sources all fall within the corresponding threshold range. Figure 5 The verification results are also presented.

[0034] This application example calculates the threshold range of water quality characteristic parameters under the influence of different sewage source types based on data from three characteristic sections (3 sampling points), such as... Figure 4 As shown, the accuracy of the threshold range of water quality characteristic parameters was verified using data from five characteristic sections (five sampling points). Figure 5 As shown, it can be confirmed that the method for determining the threshold range of water quality characteristic parameters proposed in the embodiments of this application is scientific and universal.

[0035] This application also provides a method for identifying wastewater source types, such as... Figure 6 As shown, the method includes: Step S601: Calculate water quality characteristic parameter values ​​based on wastewater data from the wastewater source of the type to be identified; the wastewater data of the wastewater source of the type to be identified includes: physicochemical indicators and concentrations; Step S602 compares the calculated water quality characteristic parameter value with the pre-stored water quality characteristic parameter threshold range corresponding to the known sewage source type. If the calculated water quality characteristic parameter value falls within the water quality characteristic parameter threshold range corresponding to a known sewage source type, the known sewage source type is taken as the identified sewage source type. At least one of the water quality characteristic parameters and the pre-stored threshold range of water quality characteristic parameters corresponding to known wastewater source types is determined according to the wastewater analysis method described in any of the foregoing embodiments.

[0036] The technical solutions described in this application can quickly identify and differentiate the types of sewage sources flowing into rivers, providing a powerful decision-making tool for watershed water environment managers.

[0037] This application also provides a computer-readable storage medium storing one or more programs that can be executed by one or more processors to implement the wastewater analysis method or the wastewater source type identification method as described in any of the foregoing embodiments.

[0038] This application also provides a processing device, such as... Figure 7 As shown, the processing device includes: Storage module 701 is configured to store computer program instructions that can be executed on a processor; The processing module 702 is configured to execute the computer program instructions to implement the wastewater analysis method or the wastewater source type identification method as described in any of the foregoing embodiments.

[0039] It will be understood by those skilled in the art that all or some of the steps, systems, or apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above 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 collaboratively by several physical components. Some or all components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). 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 technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, 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 modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0040] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A wastewater analysis method, the method comprising: Based on data from multiple wastewater samples, key characteristic factors that can respond to wastewater source types were screened. The data for each wastewater sample included: wastewater source type, physicochemical indicators, and concentration; the pollution sources of the multiple wastewater samples were not completely the same. Based on the key feature factors and the data from the multiple wastewater samples, water quality feature parameters and their threshold ranges for distinguishing different pollution sources are determined.

2. The method according to claim 1, characterized in that, The method for determining water quality characteristic parameters to distinguish different pollution sources based on the key characteristic factors and the data from the multiple wastewater samples includes: Two different sets of physicochemical indicators are determined based on the physicochemical indicators of the multiple wastewater samples, and the concentration and ratio of the two sets of physicochemical indicators are used as the water quality characteristic parameters; the two different sets of physicochemical indicators refer to the fact that the physicochemical indicators contained in the two sets of physicochemical indicators are not completely the same. Wherein, at least one of the two sets of physicochemical indicators contains all or part of the key characteristic factors.

3. The method according to claim 2, characterized in that, The method for determining two different sets of physicochemical indicators based on the physicochemical indicators of the multiple wastewater samples includes: Two sets of physicochemical indicators are randomly selected from all the physicochemical indicators involved in the multiple wastewater samples. The concentrations of the two randomly selected sets of physicochemical indicators are linearly fitted, and the two sets of physicochemical indicators with the largest fit are taken as the final two sets of physicochemical indicators.

4. The method according to claim 1, characterized in that, The data for each wastewater sample also includes: water period; The method for determining the threshold range of water quality characteristic parameters used to distinguish different pollution sources includes: For wastewater samples from the same pollution source, perform the following operations: calculate the water quality characteristic parameter values ​​for each water period; calculate the mean and standard deviation of the water quality characteristic parameters based on the water quality characteristic parameter values ​​for all water periods; and determine the threshold range of the water quality characteristic parameters for the pollution source based on the mean and standard deviation.

5. The method according to claim 1, characterized in that, The method further includes: Based on data from multiple wastewater samples, in addition to performing the operation of screening out key characteristic factors that can respond to wastewater source types, a water quality assessment is also conducted; the water quality assessment includes one or more of the following: whether the water quality has changed and whether the water quality has been polluted.

6. The method according to claim 5, characterized in that, The data for each wastewater sample also includes: the area where the sampling point is located; In assessing water quality conditions, including whether water quality has changed, an evaluation is conducted based on data from multiple wastewater samples, including: By comparing wastewater samples from upstream and downstream sampling points of the discharge outlet, a change in water quality is determined if the concentration change of any physicochemical indicator exceeds a preset threshold.

7. The method according to claim 5, characterized in that, In the case of water quality conditions, including whether water pollution has occurred, a water quality assessment is conducted based on data from multiple wastewater samples, including: For wastewater samples from the same pollution source, the following operations are performed: Calculate the average concentration of each physicochemical indicator among all or some of the physicochemical indicators involved in the wastewater samples from the same pollution source; compare the average concentration of each physicochemical indicator with the pre-stored standard concentration of that physicochemical indicator to determine the pollution index of each physicochemical indicator; determine the average pollution index based on the pollution index of each physicochemical indicator; and determine the water quality pollution level based on the average pollution index. When the water pollution level from any pollution source reaches the preset pollution level, it is determined that the water from that pollution source has been polluted.

8. A method for identifying wastewater source types, characterized in that, Based on wastewater data from the wastewater source type to be identified, calculate water quality characteristic parameter values; The wastewater data for the wastewater source type to be identified includes: physicochemical indicators and concentrations; The calculated water quality characteristic parameter values ​​are compared with the threshold range of water quality characteristic parameters corresponding to the pre-stored known sewage source types. If the calculated water quality characteristic parameter value falls within the threshold range of a known sewage source type, the known sewage source type is taken as the identified sewage source type. The water quality characteristic parameters and the threshold range of the water quality characteristic parameters corresponding to the pre-stored known sewage source types are determined by at least one of the methods according to any one of claims 1 to 7.

9. A computer-readable storage medium storing one or more programs, said one or more programs being executable by one or more processors to implement the method of any one of claims 1 to 7 or the method of claim 8.

10. A processing apparatus, characterized in that, The processing device includes: A storage module is configured to store computer program instructions that can be executed on a processor; The processing module is configured to execute the computer program instructions to implement the method as described in any one of claims 1 to 7 or to implement the method as described in claim 8.

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