Method and system for predicting annual discharge amount of perfluorooctane sulfonate in tail water of sewage and medium

Abstract

The invention provides a method and system for predicting the annual discharge amount of perfluorooctane sulfonate in tail water of sewage and a medium, and the method comprises the following steps: obtaining basic data which comprises the monitored concentration of perfluorooctane sulfonate in tail water of urban resident sewage treatment plants and daily sewage treatment capacity data of the urban resident sewage treatment plants; calculating the annual discharge amount of perfluorooctane sulfonate in the tail water of the urban sewage treatment plant based on the basic data; performing multivariate correlation fitting on the basis of the annual discharge amount of the perfluorooctane sulfonate in the tail water of the urban sewage treatment plant and the target parameters to obtain a fitting relationship; and obtaining prediction data of the target parameters, and predicting the annual discharge amount of the perfluorooctane sulfonate in the tail water of the urban sewage treatment plant by combining the fitting relationship. According to the method and system for predicting the annual discharge amount of the perfluorooctane sulfonate in the sewage tail water and the medium, optimization suggestions can be intelligently provided for environmental management and control measures of all cities under the condition of ensuring that the concentration of the perfluorooctane sulfonate in the tail water reaches the standard, so that the environmental restoration efficiency is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of environmental engineering and data processing, and in particular relates to a method, system and medium for predicting the annual emission of perfluorooctane sulfonic acid in sewage tail water. Background Art

[0002] The current sewage treatment process in urban sewage treatment plants is difficult to completely remove perfluoroalkyl and polyfluoroalkyl compounds. Due to the transformation of precursor substances, sludge desorption, treatment process limitations and the influence of industrial wastewater, the effluent concentration of the sewage plant may even be higher than the inlet concentration. Therefore, the tail water of urban sewage treatment plants is a potential source of pollution of perfluoroalkyl and polyfluoroalkyl compounds in urban receiving water bodies. By predicting the annual emission of perfluoroalkyl and polyfluoroalkyl compounds in the tail water of urban sewage treatment plants, its distribution and degree of pollution in the natural environment can be more accurately analyzed, so as to take targeted control measures. It is also beneficial for scientists and environmental managers to understand the migration, transformation and bioaccumulation process of perfluoroalkyl and polyfluoroalkyl compounds in the ecosystem, so as to propose more effective technical solutions to protect ecological balance and biodiversity.

[0003] In the existing technology, the prediction methods for the discharge of pollutants from the tail water of sewage treatment plants include prediction methods based on monitoring and models, prediction methods based on process simulation, prediction methods based on emission factors and material balance, prediction methods based on environmental exposure assessment, and prediction methods based on machine learning. These methods may require the collection of a large amount of experimental and monitoring data, or require full familiarity with the sewage treatment process, or require a combination of multiple environmental and human health variable analysis. They usually rely on a large amount of data resources and have a short prediction period. Considering the difficulty of detecting perfluorinated and polyfluoroalkyl compounds, high performance liquid chromatography, gas chromatography, capillary electrophoresis and other methods are usually required for detection, which have high requirements for laboratory environment. Usually, the monitoring data of various process links and tail water of sewage treatment plants are relatively missing, so it is difficult to predict emissions through traditional prediction methods. At present, there is still a lack of methods and systems that rely on a small number of variables and make long-term emission predictions. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a method, system and medium for predicting the annual emission of perfluorooctane sulfonic acid in sewage tail water, so as to solve the above-mentioned problems.

[0005] In a first aspect, the present invention provides a method for predicting the annual emission of perfluorooctane sulfonic acid in sewage tail water, the method comprising the following steps:

[0006] Obtaining basic data, including the monitoring concentration of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants;

[0007] Calculate the annual emission of PFOS in tail water of urban sewage treatment plants based on the basic data;

[0008] A fitting relationship is obtained by performing multivariate correlation fitting based on the annual perfluorooctane sulfonic acid emission in tail water of the urban sewage treatment plant and the target parameters;

[0009] The predicted data of the target parameters are obtained, and the annual emission of perfluorooctane sulfonic acid in the tail water of the urban sewage treatment plant is predicted in combination with the fitting relationship.

[0010] In a possible implementation of the present application, the obtaining of basic data specifically includes:

[0011] Collect the monitoring concentration of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants based on preset conditions, wherein the preset conditions at least include annual and urban areas;

[0012] Collecting daily sewage treatment capacity data of urban sewage treatment plants based on the towns in the preset conditions;

[0013] The basic data are obtained based on the monitoring concentration of perfluorooctane sulfonic acid in the effluent of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants.

[0014] In a possible implementation of the present application, the method further includes: preprocessing the collected basic data, specifically including eliminating the tail water concentration of the sewage treatment plant and monitoring abnormal values.

[0015] In a possible implementation of the present application, the annual emission of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants is calculated based on the basic data, specifically including:

[0016] Based on the monitoring concentration of PFOS in the tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants, the annual emission of PFOS in the tail water of urban sewage treatment plants is obtained by weighted calculation. The formula is as follows:

[0017]

[0018] Among them, D y is the annual emission of PFOS in the tail water of the urban sewage treatment plant, c i is the monitoring concentration of PFOS in the tail water of the urban sewage treatment plant, Q i is the daily sewage treatment capacity data of the urban residential sewage treatment plant, and i represents the number of sewage treatment plants.

[0019] In a possible implementation of the present application, the annual emission of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants is calculated, which specifically includes:

[0020] The annual average PFOS value of tail water from urban sewage treatment plants was calculated;

[0021] Collecting urban sewage daily treatment capacity data based on the preset conditions;

[0022] Based on the annual average perfluorooctane sulfonic acid value of the tail water of the urban sewage treatment plant and the daily treatment capacity data of urban sewage, the annual perfluorooctane sulfonic acid emission of the tail water of the urban sewage treatment plant is calculated as follows:

[0023]

[0024] Among them, D y is the annual emission of PFOS in tail water from the urban sewage treatment plant, is the annual average perfluorooctane sulfonate value of the tail water of the urban sewage treatment plant, Q y This is the daily treatment capacity data of urban sewage.

[0025] In a possible implementation of the present application, the fitting relationship is obtained by performing multivariate correlation fitting based on the annual perfluorooctane sulfonic acid emissions from the tail water of the urban sewage treatment plant and the target parameters, specifically including:

[0026] Collecting target parameters based on the preset conditions, wherein the target parameters at least include the urban permanent population, the proportion of the secondary industry, and the per capita disposable income of urban residents;

[0027] Based on the preset fitting formula, a multivariate linear regression fitting relationship is established between the annual perfluorooctane sulfonic acid emission in the tail water of the urban sewage treatment plant and the target parameter, and the formula is as follows:

[0028]

[0029] Among them, D y is the annual emission of PFOS in the tail water of the urban sewage treatment plant, P y is the permanent urban population, I y is the proportion of the secondary industry, S y is the per capita disposable income of urban residents, and a, b, c, d, f, g, and h are fitting parameter factors.

[0030] In a possible implementation of the present application, the prediction data of the target parameter is obtained, and the annual emission of perfluorooctane sulfonic acid in tail water of a municipal sewage treatment plant is predicted in combination with the fitting relationship, specifically including:

[0031] Acquiring forecast data of a target parameter, wherein the forecast data includes published data;

[0032] Based on the fitting relationship and the published data, the annual emission of perfluorooctane sulfonic acid in the tail water of the urban sewage treatment plant is calculated.

[0033] In a second aspect, the present invention provides a system for predicting annual perfluorooctane sulfonic acid emissions from sewage tail water, the system comprising:

[0034] An acquisition module, used to acquire basic data, wherein the basic data includes the monitoring concentration of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants;

[0035] A calculation module, used for calculating the annual emission of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants based on the basic data;

[0036] A fitting module, used for performing multivariate correlation fitting based on the annual perfluorooctane sulfonic acid emission in tail water of the urban sewage treatment plant and the target parameters to obtain a fitting relationship;

[0037] The prediction module is used to obtain the prediction data of the target parameter, and predict the annual emission of perfluorooctane sulfonic acid in the tail water of the urban sewage treatment plant in combination with the fitting relationship.

[0038] In a third aspect, the present invention provides an electronic device, the electronic device comprising: a processor and a memory;

[0039] The memory is used to store computer programs;

[0040] The processor is used to execute the computer program stored in the memory, so that the electronic device executes the above-mentioned method for predicting the annual emission of perfluorooctane sulfonic acid in sewage tail water.

[0041] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by an electronic device, implements the above-mentioned method for predicting annual perfluorooctane sulfonic acid emissions in sewage tail water.

[0042] As described above, the method, system and medium for predicting the annual emission of perfluorooctane sulfonic acid from sewage tail water described in the present invention have the following beneficial effects: a perfluorooctane sulfonic acid emission prediction model is established by utilizing the strong correlation between the emission of perfluorooctane sulfonic acid from sewage treatment plant tail water and the permanent population, the proportion of the secondary industry and the per capita disposable income of urban residents. When the perfluorooctane sulfonic acid emission results of sewage treatment plant tail water in multiple cities are required, a multivariate linear regression relationship is established with variables such as the permanent population, the proportion of the secondary industry and the per capita disposable income of urban residents by collecting a small amount of sewage treatment plant tail water monitoring data, and then a large-scale prediction of urban perfluorooctane sulfonic acid emissions can be achieved based on the basic data of the city.

[0043] Specifically, the prediction results are more objective, accurate and fast; compared with the prediction methods based on monitoring and models, process simulation, emission factors and material balance, environmental exposure assessment and machine learning in the existing technology, it can achieve large-scale prediction with a small amount of data, effectively avoiding the difficulties in large-scale prediction of perfluorooctane sulfonic acid in sewage plant effluent caused by the need for a large amount of monitoring data, reliance on subjective consciousness, excessive professional input, etc., and provide technical support for environmental managers' decision-making. In addition, it can also intelligently provide optimization suggestions for the control measures of various cities while ensuring that the perfluorooctane sulfonic acid concentration in the effluent meets the standard, thereby improving the efficiency of environmental remediation. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 Shown is a schematic diagram of a scene of an electronic device in an embodiment of the present invention;

[0045] Figure 2 Shown is a flow chart of a method for predicting annual perfluorooctane sulfonic acid emissions from wastewater tail water in one embodiment of the present invention;

[0046] Figure 3 Shown is a schematic diagram of calculating the annual perfluorooctane sulfonic acid emission in tail water of a municipal sewage treatment plant in one embodiment of the method for predicting the annual perfluorooctane sulfonic acid emission in tail water of sewage of the present invention;

[0047] Figure 4 Shown is a comparative schematic diagram of the fitting calculation of the method for predicting the annual emission of perfluorooctane sulfonic acid in sewage tail water in one embodiment of the present invention;

[0048] Figure 5 Shown is a flow chart of a method for predicting annual perfluorooctane sulfonic acid emissions from wastewater tail water in one embodiment of the present invention;

[0049] Figure 6 Shown is a schematic structural diagram of a system for predicting annual perfluorooctane sulfonic acid emissions from wastewater tail water in one embodiment of the present invention;

[0050] Figure 7 It is a schematic structural diagram of an electronic device of the present invention in one embodiment. DETAILED DESCRIPTION

[0051] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0052] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0053] The following embodiments of the present invention provide a method for predicting the annual emission of perfluorooctane sulfonic acid in sewage tail water, which can be applied to Figure 1 The electronic device shown. The electronic device described in the present invention may include a mobile phone 11 with a wireless charging function, a tablet computer 12, a laptop computer 13, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), etc. The embodiment of the present invention does not impose any restrictions on the specific type of the electronic device.

[0054] For example, the electronic device may be a station (STAION, ST) in a WLAN with a wireless charging function, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with a wireless charging function, a computing device or other processing device, a computer, a laptop computer, a handheld communication device, a handheld computing device, and / or other devices for communicating on a wireless system and a next generation communication system, such as a mobile terminal in a 5G network, a mobile terminal in a future evolved Public Land Mobile Network (PLMN), or a mobile terminal in a future evolved Non-terrestrial Network (NTN), etc.

[0055] Perfluorooctane sulfonic acid is an important perfluorinated and polyfluoroalkyl compound, which is widely used in the production of high-efficiency fluoropolymers (such as polytetrafluoroethylene), surfactants and waterproof coatings. Perfluorooctane sulfonic acid is difficult to degrade, can accumulate in water, soil and organisms for a long time, and can be enriched along the food chain, so it has strong environmental persistence and bioaccumulation. The main reason why perfluorooctane sulfonic acid has received widespread attention is due to its strong biological toxicity, which may cause liver toxicity, reproductive toxicity and immunotoxicity to the human body. It also has strong carcinogenicity and endocrine disruption effects. Considering its high ecological risk, it is necessary to accurately and widely predict the annual emissions of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants in various cities, and to deploy corresponding control measures based on the prediction results.

[0056] In order to overcome the above defects, the purpose of the present invention is to provide a method for predicting the annual emission of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants in multiple cities, and to adjust the perfluorooctane sulfonic acid pollution control measures of the corresponding cities according to the prediction of the annual emission. To achieve the above purpose, the present invention is based on a method for predicting the effluent emission of sewage treatment plants based on multivariable nonlinear fitting. First, the monitoring concentration data of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants and the corresponding daily sewage treatment capacity are collected by year and city, and the annual emission of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants is calculated. Then, the correlation between the annual emission of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants and variables such as permanent population, proportion of secondary industry and per capita disposable income of urban residents is established, and finally the annual emission of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants in multiple cities is predicted.

[0057] The present invention relates to a method for predicting the annual emission of perfluorooctane sulfonic acid from tail water of urban sewage treatment plants in multiple cities. Based on the fact that perfluorooctane sulfonic acid emission from sewage treatment plants is affected by municipal sewage, industrial wastewater discharge and the treatment efficiency of sewage treatment plants, a perfluorooctane sulfonic acid emission prediction model is established by utilizing the strong correlation between perfluorooctane sulfonic acid emission from tail water of sewage treatment plants and the permanent population, the proportion of the secondary industry and the per capita disposable income of urban residents. When the perfluorooctane sulfonic acid emission results of tail water of urban sewage treatment plants in multiple cities are required, a multivariate linear regression relationship is established with variables such as the permanent population, the proportion of the secondary industry and the per capita disposable income of urban residents by collecting a small amount of tail water monitoring data of sewage treatment plants, and then a large-scale prediction of perfluorooctane sulfonic acid emission in cities can be achieved based on basic urban data. The prediction results are relatively objective, accurate and fast. Compared with the prediction methods based on monitoring and models, process simulation, emission factors and material balance, environmental exposure assessment and machine learning in the existing technologies, it can achieve large-scale prediction with a small amount of data, effectively avoiding the difficulties in large-scale prediction of perfluorooctane sulfonic acid in sewage plant effluent caused by the need for a large amount of monitoring data, reliance on subjective consciousness, excessive professional input, etc., and provide technical support for environmental managers' decision-making. In addition, it can also intelligently provide optimization suggestions for the control measures of various cities while ensuring that the perfluorooctane sulfonic acid concentration in the effluent meets the standard, thereby improving the efficiency of environmental remediation.

[0058] The technical solutions in the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0059] Specifically, see Figure 2 In one embodiment of the invention, the method for predicting the annual emission of perfluorooctane sulfonic acid in sewage tail water of the present invention comprises the following steps:

[0060] Step S202, obtaining basic data, wherein the basic data includes the monitoring concentration of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants;

[0061] Step S204, calculating the annual emission of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants based on the basic data;

[0062] Step S206, performing multivariate correlation fitting based on the annual perfluorooctane sulfonic acid emission in tail water of the urban sewage treatment plant and the target parameters to obtain a fitting relationship;

[0063] Step S208, obtaining prediction data of the target parameter, and predicting the annual emission of perfluorooctane sulfonic acid in tail water of the urban sewage treatment plant in combination with the fitting relationship.

[0064] It should be noted that, in this embodiment, it is necessary to first obtain basic data, that is, to obtain the monitoring concentration of perfluorooctane sulfonic acid in the effluent of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants, so as to calculate the annual emission of perfluorooctane sulfonic acid in the effluent of urban sewage treatment plants based on the basic data.

[0065] Specifically, obtaining basic data includes: collecting the monitoring concentration of perfluorooctane sulfonic acid in the effluent of urban sewage treatment plants based on preset conditions, wherein the preset conditions at least include year and town; collecting the daily sewage treatment capacity data of urban sewage treatment plants based on the town in the preset conditions; and obtaining the basic data based on the monitoring concentration of perfluorooctane sulfonic acid in the effluent of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants.

[0066] It should be noted that, in this embodiment, Figure 3 As shown, it is a schematic diagram for calculating the annual emission of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants. After obtaining the basic data, the method also includes preprocessing the collected basic data, specifically including eliminating the tail water concentration of the sewage treatment plant and monitoring abnormal values.

[0067] Furthermore, if Figure 3 As shown in the figure, there are two ways to calculate the annual emission of PFOS in the tail water of urban sewage treatment plants. One is to calculate the annual emission of PFOS in the tail water of urban sewage treatment plants by weighted calculation based on the monitoring concentration of PFOS in the tail water of urban residential sewage treatment plants and the daily sewage treatment capacity data of urban residential sewage treatment plants. The formula is as follows:

[0068]

[0069] Among them, D y is the annual emission of PFOS in tail water from the urban sewage treatment plant, c i is the monitoring concentration of PFOS in the tail water of the urban sewage treatment plant, Q i is the daily sewage treatment capacity data of the urban residential sewage treatment plant, i represents the number of sewage treatment plants; and, secondly, the annual perfluorooctane sulfonate average value of the tail water of the urban sewage treatment plant is calculated, and then the daily treatment capacity data of urban sewage is collected based on the preset conditions, and finally the annual perfluorooctane sulfonate emission of the tail water of the urban sewage treatment plant is calculated based on the annual perfluorooctane sulfonate average value of the tail water of the urban sewage treatment plant and the daily treatment capacity data of urban sewage, and the formula is as follows:

[0070]

[0071] Among them, D yis the annual emission of PFOS in tail water from the urban sewage treatment plant, is the annual average perfluorooctane sulfonate value of the tail water of the urban sewage treatment plant, Q y The daily treatment capacity data of urban sewage is shown in Figure 2, among which the first method is more accurate than the second method.

[0072] Further, in one embodiment of the invention, the multivariate correlation fitting based on the annual perfluorooctane sulfonic acid emission in the tail water of the urban sewage treatment plant and the target parameters is performed to obtain a fitting relationship, specifically comprising: collecting the target parameters based on the preset conditions, wherein the target parameters at least include the permanent population of the town, the proportion of the secondary industry and the per capita disposable income of urban residents, and then establishing a multivariate linear regression fitting relationship between the annual perfluorooctane sulfonic acid emission in the tail water of the urban sewage treatment plant and the target parameters based on a preset fitting formula, and the formula is as follows: Among them, D y is the annual emission of PFOS in the tail water of the urban sewage treatment plant, P y is the permanent urban population, I y is the proportion of the secondary industry, S y is the per capita disposable income of urban residents, and a, b, c, d, f, g, and h are fitting parameter factors.

[0073] It should be noted that in this embodiment, after obtaining the annual perfluorooctane sulfonic acid emission of the tail water of the urban sewage treatment plant, it is necessary to perform multivariate correlation fitting with the target parameter to obtain a fitting relationship, specifically, to establish an exponential fitting relationship. In order to ensure the accuracy of the fitting, at least "10" groups of annual perfluorooctane sulfonic acid emission of the tail water of the urban sewage treatment plant and urban permanent population P are collected. y 、Proportion of secondary industry I y , per capita disposable income of urban residents S y , specifically, Figure 4 As shown, in one embodiment of the invention, the multivariate linear regression fitting calculation formula of the annual perfluorooctane sulfonic acid emission of the tail water of the urban sewage treatment plant and the target parameter is specifically as follows: Correspondingly, the fitting parameter factors a are "1.4697", b is "0.0022", c is "1625056.843", d is "0.244", f is "1.7856", g is "0.0163", and h is "299.6014", where Figure 4The actual value of the annual emission of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants in the method is compared with the predicted value of the annual emission of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants after multivariate linear regression fitting. It can be seen that the regression effect is very good, indicating that the scheme is feasible. Therefore, it can be used to predict the annual emission of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants in different time periods in the future.

[0074] Further, in one embodiment of the invention, if Figure 5 As shown, the method of obtaining the predicted data of the target parameter and predicting the annual emission of perfluorooctane sulfonic acid in the tail water of the urban sewage treatment plant in combination with the fitting relationship specifically includes the following steps:

[0075] Step S502, obtaining prediction data of the target parameter, wherein the prediction data includes published data;

[0076] Step S504, calculating the annual emission of perfluorooctane sulfonic acid in tail water of the urban sewage treatment plant based on the fitting relationship and the published data.

[0077] It should be noted that, in this embodiment, the predicted data actually includes published data, which can be queried on the website of the Statistics Bureau of the corresponding city. It can be known statistical data or estimated data for the future. When it is specifically executed, it can be retrieved through a pre-set link. After obtaining the published data, the annual perfluorooctane sulfonic acid emission D of the tail water of the urban sewage treatment plant can be calculated based on the fitting relationship combined with the published data. f , where the calculation method and fitting calculation formula D y Consistent, specifically: Among them, taking a city as an example, the urban permanent population P y 8.542 million people, the proportion of secondary industry is y The per capita disposable income of urban residents is 48.25%. y =64886 yuan. Accordingly, the annual emission of PFOS from the tail water of the urban sewage treatment plant is calculated as D f Then it is "2.95" kg.

[0078] The embodiment of the present application also provides a system for predicting the annual emission of perfluorooctane sulfonic acid from sewage tail water. The system for predicting the annual emission of perfluorooctane sulfonic acid from sewage tail water can implement the method for predicting the annual emission of perfluorooctane sulfonic acid from sewage tail water described in the present application. However, the device for implementing the method for predicting the annual emission of perfluorooctane sulfonic acid from sewage tail water described in the present application includes but is not limited to the structure of the system for predicting the annual emission of perfluorooctane sulfonic acid from sewage tail water listed in the present embodiment. All structural deformations and replacements of the prior art made according to the principles of the present application are included in the protection scope of the present application.

[0079] See also Figure 6 In one embodiment, this embodiment provides a system 60 for predicting annual perfluorooctane sulfonic acid emissions from wastewater tail water, the system comprising:

[0080] An acquisition module 61 is used to acquire basic data, wherein the basic data includes the monitoring concentration of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants;

[0081] A calculation module 62, for calculating the annual emission of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants based on the basic data;

[0082] A fitting module 63 is used to perform multivariate correlation fitting based on the annual perfluorooctane sulfonic acid emission in tail water of the urban sewage treatment plant and the target parameters to obtain a fitting relationship;

[0083] The prediction module 64 is used to obtain the prediction data of the target parameter, and predict the annual emission of perfluorooctane sulfonic acid in the tail water of the urban sewage treatment plant in combination with the fitting relationship.

[0084] Since the specific implementation of this embodiment corresponds to the aforementioned method embodiment, the same details will not be repeated here, and those skilled in the art should also understand that Figure 6 The division of the modules in the embodiment is merely a division of logical functions, and in actual implementation, all or part of them can be integrated into one or more physical entities, and these modules can be implemented entirely in the form of software called by processing elements, or entirely in the form of hardware, or some modules can be implemented in the form of software called by processing elements, and some modules can be implemented in the form of hardware.

[0085] In the several embodiments provided by the present invention, it should be understood that the disclosed system, device or method can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules / units is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules or units, which can be electrical, mechanical or other forms.

[0086] The modules / units described as separate components may or may not be physically separated, and the components displayed as modules / units may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules / units may be selected according to actual needs to achieve the purpose of the embodiments of the present invention. For example, the functional modules / units in the various embodiments of the present invention may be integrated into one processing module, or each module / unit may exist physically separately, or two or more modules / units may be integrated into one module / unit.

[0087] Those of ordinary skill in the art should further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0088] The embodiment of the present invention also provides a computer-readable storage medium. A person of ordinary skill in the art can understand that all or part of the steps in the method for implementing the above embodiment can be completed by instructing the processor through a program, and the program can be stored in a computer-readable storage medium, and the storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state hard disk, a magnetic tape, a floppy disk, an optical disc, and any combination thereof. The above storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more available media. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a digital video disc (DVD)), or a semiconductor medium (e.g., a solid-state disk (SSD)), etc.

[0089] An embodiment of the present invention further provides an electronic device, which includes a processor and a memory.

[0090] The memory is used to store computer programs.

[0091] The memory includes: ROM, RAM, disk, USB flash drive, memory card or CD and other media that can store program codes.

[0092] The processor is connected to the memory and is used to execute the computer program stored in the memory so that the electronic device executes the above-mentioned method for predicting the annual emission of perfluorooctane sulfonic acid in sewage tail water.

[0093] Preferably, the processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0094] like Figure 7 As shown, the electronic device of the present invention is in the form of a general computing device. The components of the electronic device may include but are not limited to: one or more processors or processing units 71, a memory 72, and a bus 73 connecting different system components (including the memory 72 and the processing unit 71).

[0095] Bus 73 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0096] Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, removable and non-removable media.

[0097] The memory 72 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 721 and / or cache memory 722. The electronic device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 723 may be used to read and write non-removable, non-volatile magnetic media ( Figure 7 not shown, usually called a "hard drive"). Although Figure 7 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 73 via one or more data medium interfaces. The memory 72 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0098] A program / utility 724 having a set (at least one) of program modules 7241 may be stored, for example, in the memory 72, such program modules 7241 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 7241 generally perform the functions and / or methods of the embodiments described herein.

[0099] The electronic device may also communicate with one or more external devices (e.g., keyboards, pointing devices, displays, etc.), one or more devices that enable a user to interact with the electronic device, and / or any device that enables the electronic device to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed via input / output (I / O) interface 74. Furthermore, the electronic device may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via network adapter 75. Figure 7 As shown, the network adapter 75 communicates with other modules of the electronic device via the bus 73. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0100] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A method for predicting the annual emission of perfluorooctane sulfonic acid from sewage tail water, characterized in that: include: Obtaining basic data, including the monitoring concentration of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants; Calculate the annual emission of PFOS in tail water of urban sewage treatment plants based on the basic data; A fitting relationship is obtained by performing multivariate correlation fitting based on the annual perfluorooctane sulfonic acid emission in tail water of the urban sewage treatment plant and the target parameters; The predicted data of the target parameters are obtained, and the annual emission of perfluorooctane sulfonic acid in the tail water of the urban sewage treatment plant is predicted in combination with the fitting relationship.

2. The method for predicting annual perfluorooctane sulfonic acid emissions from sewage tail water according to claim 1, characterized in that: The obtaining of basic data specifically includes: Collect the monitoring concentration of perfluorooctane sulfonic acid in the tail water of urban sewage treatment plants based on preset conditions, wherein the preset conditions at least include annual and urban areas; Collecting daily sewage treatment capacity data of urban sewage treatment plants based on the towns in the preset conditions; The basic data are obtained based on the monitoring concentration of perfluorooctane sulfonic acid in the effluent of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants.

3. The method for predicting annual perfluorooctane sulfonic acid emissions from sewage tail water according to claim 2, characterized in that: The method also includes: preprocessing the collected basic data, specifically including eliminating the tail water concentration of the sewage treatment plant and monitoring abnormal values.

4. The method for predicting annual perfluorooctane sulfonic acid emissions from sewage tail water according to claim 2, characterized in that: The calculation of the annual emission of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants based on the basic data specifically includes: Based on the monitoring concentration of PFOS in the tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants, the annual emission of PFOS in the tail water of urban sewage treatment plants is obtained by weighted calculation. The formula is as follows: Among them, d y is the annual emission of PFOS in the tail water of the urban sewage treatment plant, c i is the monitoring concentration of PFOS in the tail water of the urban sewage treatment plant, Q i is the daily sewage treatment capacity data of the urban residential sewage treatment plant, and i represents the number of sewage treatment plants.

5. The method for predicting annual perfluorooctane sulfonic acid emissions from sewage tail water according to claim 4, characterized in that: Calculate the annual PFOS emissions from tail water of urban sewage treatment plants, including: The annual average PFOS value of tail water from urban sewage treatment plants was calculated; Collecting urban sewage daily treatment capacity data based on the preset conditions; Based on the annual average perfluorooctane sulfonic acid value of the tail water of the urban sewage treatment plant and the daily treatment capacity data of urban sewage, the annual perfluorooctane sulfonic acid emission of the tail water of the urban sewage treatment plant is calculated as follows: Among them, D y is the annual emission of PFOS in tail water from the urban sewage treatment plant, is the annual average perfluorooctane sulfonate value of the tail water of the urban sewage treatment plant, Q y This is the daily treatment capacity data of urban sewage.

6. The method for predicting annual perfluorooctane sulfonic acid emissions from sewage tail water according to claim 4, characterized in that: The fitting relationship is obtained by performing multivariate correlation fitting based on the annual perfluorooctane sulfonic acid emission in the tail water of the urban sewage treatment plant and the target parameters, specifically including: Collecting target parameters based on the preset conditions, wherein the target parameters at least include the urban permanent population, the proportion of the secondary industry, and the per capita disposable income of urban residents; Based on the preset fitting formula, a multivariate linear regression fitting relationship is established between the annual perfluorooctane sulfonic acid emission in the tail water of the urban sewage treatment plant and the target parameter, and the formula is as follows: Among them, D y is the annual emission of PFOS in the tail water of the urban sewage treatment plant, P y is the permanent urban population, I y is the proportion of the secondary industry, S y is the per capita disposable income of urban residents, and a, b, c, d, f, g, and h are fitting parameter factors.

7. The method for predicting annual perfluorooctane sulfonic acid emissions from sewage tail water according to claim 6, characterized in that: The method of obtaining the predicted data of the target parameter and predicting the annual emission of perfluorooctane sulfonic acid in the tail water of the urban sewage treatment plant in combination with the fitting relationship specifically includes: Acquiring forecast data of a target parameter, wherein the forecast data includes published data; The annual emission of perfluorooctane sulfonic acid in the tail water of the urban sewage treatment plant is calculated based on the fitting relationship and the published data.

8. A system for predicting annual perfluorooctane sulfonic acid emissions from sewage tail water, characterized in that: include: An acquisition module, used to acquire basic data, wherein the basic data includes the monitoring concentration of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants; A calculation module, used for calculating the annual emission of perfluorooctane sulfonic acid in tail water of urban sewage treatment plants based on the basic data; A fitting module, used for performing multivariate correlation fitting based on the annual perfluorooctane sulfonic acid emission in tail water of the urban sewage treatment plant and the target parameters to obtain a fitting relationship; The prediction module is used to obtain the prediction data of the target parameter, and predict the annual emission of perfluorooctane sulfonic acid in the tail water of the urban sewage treatment plant in combination with the fitting relationship.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for predicting the annual emission of perfluorooctane sulfonic acid in sewage tail water as described in any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: The electronic device comprises: a processor and a memory; wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the electronic device executes the method for predicting the annual emission of perfluorooctane sulfonic acid in sewage tail water as described in any one of claims 1 to 7.

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