Method and system for predicting annual discharge amount of perfluorooctanoic acid in tail water of urban sewage treatment plant

Abstract

The invention provides a town sewage treatment plant tail water perfluorooctanoic acid annual discharge amount prediction method and system, and the method comprises the following steps: obtaining basic data, the basic data comprising town resident sewage treatment plant tail water perfluorooctanoic acid monitoring concentration and town resident sewage treatment plant sewage daily treatment capability data; calculating the annual discharge amount of perfluorooctanoic acid in the tail water of the urban sewage treatment plant based on the basic data; performing correlation fitting on the basis of the annual discharge amount of the perfluorooctanoic acid in the tail water of the urban sewage treatment plant and urban permanent resident population to obtain a fitting relationship; and constructing a town permanent resident population prediction model, and predicting the annual discharge amount of the tail water perfluorooctanoic acid of the town sewage treatment plant in combination with the fitting relationship. According to the method and the system for predicting the annual discharge amount of the perfluorooctanoic acid in the tail water of the urban sewage treatment plant, optimization suggestions can be provided for a sewage treatment process and front-end management and control measures under the condition that the concentration of the perfluorooctanoic acid in the tail water of the sewage treatment plant 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 and system for predicting the annual emission of perfluorooctanoic acid in tail water of a municipal sewage treatment plant. 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 purpose of the present invention is to provide a method and system for predicting the annual emission of perfluorooctanoic acid in the tail water of urban sewage treatment plants, 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 perfluorooctanoic acid in tail water of a municipal sewage treatment plant, the method comprising the following steps:

[0006] Obtain basic data, including the monitoring concentration of perfluorooctanoic 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 perfluorooctanoic acid in tail water of urban sewage treatment plants based on the basic data;

[0008] A fitting relationship is obtained based on the correlation fitting between the annual perfluorooctanoic acid discharge in the tail water of the urban sewage treatment plant and the urban permanent population;

[0009] A prediction model for urban permanent population was constructed, and the annual emission of perfluorooctanoic acid in the tail water of urban sewage treatment plants was predicted based on 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 perfluorooctanoic acid in tail water of urban sewage treatment plants based on preset conditions, wherein the preset conditions at least include year and town;

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

[0013] The basic data is obtained based on the monitoring concentration of perfluorooctanoic 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 perfluorooctanoic 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 perfluorooctanoic acid in the tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants, a weighted calculation is performed to obtain the annual perfluorooctanoic acid discharge in the tail water of the urban sewage treatment plants. The formula is as follows:

[0017]

[0018] Among them, D y is the annual discharge of PFOA in the tail water of the urban sewage treatment plant, c i is the monitoring concentration of perfluorooctanoic acid 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 perfluorooctanoic acid in tail water of urban sewage treatment plants is calculated, which specifically includes:

[0020] The annual mean PFOA 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 perfluorooctanoic acid value of the tail water of the urban sewage treatment plant and the daily treatment capacity data of urban sewage, the annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant is calculated, and the formula is as follows:

[0023]

[0024] Among them, D y is the annual discharge of perfluorooctanoic acid in the tail water of the urban sewage treatment plant, is the annual average perfluorooctanoic acid 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 correlation fitting based on the annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant and the urban permanent population, specifically including:

[0026] Collecting urban resident population data based on the preset conditions;

[0027] Based on the preset fitting formula, an exponential fitting relationship is established between the annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant and the permanent population of the town, and the formula is as follows:

[0028]

[0029] Among them, D y is the annual discharge of PFOA in the tail water of the urban sewage treatment plant, P y is the permanent population of the town, a and b are fitting parameter factors.

[0030] In a possible implementation of the present application, the urban resident population prediction model is constructed, and the annual perfluorooctanoic acid emission of tail water from urban sewage treatment plants is predicted in combination with the fitting relationship, specifically including:

[0031] Construct a prediction model for urban permanent population, the formula is as follows:

[0032]

[0033] Among them, P is the predicted population, p0 is the permanent population in the initial year of the statistical period, t0 is the initial year, t is the predicted year, and p m , r0 is the population prediction parameter factor;

[0034] Based on the fitting relationship and the urban permanent population prediction model, the annual perfluorooctanoic acid discharge of urban sewage treatment plant tail water is obtained, and the formula is as follows:

[0035]

[0036] Among them, D f is the predicted annual emission of PFOA from tail water of urban sewage treatment plants, a and b are fitting parameter factors, p0 is the permanent population in the initial year of the statistical period, t0 is the initial year, t is the predicted year, and p m , r0 is the population prediction parameter factor.

[0037] In a second aspect, the present invention provides a system for predicting the annual emission of perfluorooctanoic acid in tail water of a municipal sewage treatment plant, the system comprising:

[0038] An acquisition module, used to acquire basic data, wherein the basic data includes the monitoring concentration of perfluorooctanoic acid in tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants;

[0039] A calculation module, used for calculating the annual emission of perfluorooctanoic acid in tail water of urban sewage treatment plants based on the basic data;

[0040] A fitting module, used for performing correlation fitting on the annual perfluorooctanoic acid discharge in tail water of the urban sewage treatment plant and the urban resident population to obtain a fitting relationship;

[0041] The prediction module is used to construct a prediction model for the permanent population of a city or town, and to predict the annual emission of perfluorooctanoic acid from the tail water of a city or town sewage treatment plant in combination with the fitting relationship.

[0042] In a third aspect, the present invention provides an electronic device, the electronic device comprising: a processor and a memory;

[0043] The memory is used to store computer programs;

[0044] 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 perfluorooctanoic acid in the tail water of a municipal sewage treatment plant.

[0045] 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 the annual emission of perfluorooctanoic acid from the tail water of a municipal sewage treatment plant.

[0046] As described above, the method and system for predicting the annual emission of perfluorooctanoic acid in the tail water of urban sewage treatment plants described in the present invention have the following beneficial effects: when it is necessary to predict the long-term changes in the emission of perfluorooctanoic acid in the tail water of sewage treatment plants, by collecting a small amount of sewage treatment plant tail water monitoring data, establishing a logarithmic relationship with the permanent population of the city, and then based on the permanent population prediction model, the long-term prediction of perfluorooctanoic acid emissions can be achieved, and the prediction results are relatively objective, accurate and fast; compared with the prediction methods using monitoring and models, the prediction methods based on process simulation, the prediction methods based on emission factors and material balance, the prediction methods based on environmental exposure assessment and the prediction methods based on machine learning in the prior art, the present invention can achieve long-term prediction with a small amount of data, effectively avoiding the difficulties in long-term prediction of perfluorooctanoic acid in the tail water of sewage treatment plants caused by the need for a large amount of monitoring data, reliance on subjective consciousness, excessive professional investment, etc., and providing technical support for environmental managers' decision-making. In addition, while ensuring that the perfluorooctanoic acid concentration in the tail water meets the standard, it can also intelligently provide optimization suggestions for sewage treatment processes and front-end control measures, thereby improving the efficiency of environmental remediation. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 Shown is a schematic diagram of a scene of an electronic device in an embodiment of the present invention;

[0048] Figure 2 Shown is a flow chart of a method for predicting annual perfluorooctanoic acid emissions from tail water of a municipal sewage treatment plant according to an embodiment of the present invention;

[0049] Figure 3 Shown is a schematic diagram of calculating the annual perfluorooctanoic acid emission from tail water of a municipal sewage treatment plant in one embodiment of the method for predicting the annual perfluorooctanoic acid emission from tail water of a municipal sewage treatment plant of the present invention;

[0050] Figure 4 Shown is a schematic diagram of correlation fitting calculation in one embodiment of the method for predicting annual perfluorooctanoic acid emissions from tail water of a municipal sewage treatment plant of the present invention;

[0051] Figure 5 A schematic diagram showing population prediction in one embodiment of a method for predicting annual perfluorooctanoic acid emissions from tail water of a municipal sewage treatment plant according to the present invention;

[0052] Figure 6 Shown is a schematic structural diagram of an embodiment of a system for predicting annual perfluorooctanoic acid emissions from tail water of a municipal sewage treatment plant according to the present invention;

[0053] Figure 7 It is a schematic structural diagram of an electronic device of the present invention in one embodiment. DETAILED DESCRIPTION

[0054] 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.

[0055] 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.

[0056] The following embodiments of the present invention provide a method for predicting the annual emission of perfluorooctanoic acid in tail water of a municipal sewage treatment plant, 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.

[0057] 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.

[0058] Perfluorooctanoic acid is an important synthetic perfluoro and polyfluoroalkyl compound, which is widely used in a variety of industrial and consumer products, such as waterproof materials, food packaging, etc. Perfluorooctanoic 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 perfluorooctanoic acid has received widespread attention is due to its strong biological toxicity, which may cause liver toxicity, immunotoxicity, reproductive toxicity and genotoxicity to the human body. It also has strong carcinogenicity and endocrine disruption effects. Considering its high ecological risk, it is necessary to make accurate and long-term predictions of the annual emissions of perfluorooctanoic acid in the tail water of urban sewage treatment plants, and to deploy corresponding control measures based on the prediction results.

[0059] To overcome the above defects, the purpose of the present invention is to provide a method for long-term prediction of the annual perfluorooctanoic acid discharge of tail water for urban sewage treatment plants, and to adjust the corresponding perfluorooctanoic acid pollution control measures according to the prediction of the annual discharge. To achieve the above purpose, the present invention is based on a population prediction model and a nonlinear fitting method for predicting the effluent discharge of sewage treatment plants. First, the monitoring concentration data of perfluorooctanoic acid in the tail water of urban sewage treatment plants and the daily processing capacity of the corresponding sewage treatment plants are collected by year and city, and the annual discharge of perfluorooctanoic acid in the tail water of urban sewage treatment plants is calculated. Then, the relationship between the annual discharge of perfluorooctanoic acid in the tail water of urban sewage treatment plants and the permanent population of towns is established, and a prediction model for the permanent population of towns is established. Finally, the annual discharge of perfluorooctanoic acid in the tail water of urban sewage treatment plants is predicted in the future.

[0060] The present invention relates to a long-term prediction method for the annual emission of perfluorooctanoic acid in tail water of urban sewage treatment plants. The perfluorooctanoic acid emission prediction model is established by utilizing the strong correlation between the perfluorooctanoic acid emission in tail water of sewage treatment plants and the permanent population. When it is necessary to predict the long-term change of perfluorooctanoic acid emission in tail water of sewage treatment plants, a logarithmic relationship is established with the permanent population of the city by collecting a small amount of tail water monitoring data of sewage treatment plants, and then based on the permanent population prediction model, the long-term prediction of perfluorooctanoic acid emission can be achieved. The prediction results are relatively objective, accurate and fast; compared with the prediction methods using monitoring and models, the prediction methods based on process simulation, the prediction methods based on emission factors and material balance, the prediction methods based on environmental exposure assessment and the prediction methods based on machine learning in the prior art, a small amount of data can be used to achieve long-term prediction, effectively avoiding the difficulty of long-term prediction of perfluorooctanoic acid in tail water of sewage treatment plants caused by the need for a large amount of monitoring data, reliance on subjective consciousness, excessive professional input, etc., and providing technical support for the decision-making of environmental managers. If the method and system are combined with a decision support system, they can intelligently provide optimization suggestions for sewage treatment processes and front-end control measures while ensuring that the perfluorooctanoic acid concentration in the tail water meets the standard, thereby improving the efficiency of environmental remediation.

[0061] 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.

[0062] Specifically, see Figure 2 In one embodiment of the invention, the method for predicting the annual emission of perfluorooctanoic acid in tail water of a municipal sewage treatment plant of the present invention comprises the following steps:

[0063] Step S202, obtaining basic data, wherein the basic data includes the monitoring concentration of perfluorooctanoic acid in tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants;

[0064] Step S204, calculating the annual emission of perfluorooctanoic acid in tail water of urban sewage treatment plants based on the basic data;

[0065] Step S206, performing correlation fitting based on the annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant and the urban permanent population to obtain a fitting relationship;

[0066] Step S208, constructing a prediction model for urban permanent population, and combining the fitting relationship to predict the annual emission of perfluorooctanoic acid in tail water of urban sewage treatment plants.

[0067] It should be noted that in this embodiment, the basic data must first be obtained, that is, the monitoring concentration of perfluorooctanoic 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 perfluorooctanoic acid in the effluent of urban sewage treatment plants based on the basic data.

[0068] Specifically, obtaining basic data includes: collecting the monitoring concentration of perfluorooctanoic 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; obtaining the basic data based on the monitoring concentration of perfluorooctanoic acid in the effluent of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants.

[0069] It should be noted that, in this embodiment, Figure 3 As shown, it is a schematic diagram for calculating the annual emission of perfluorooctanoic 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.

[0070] Furthermore, if Figure 3 As shown, there are two ways to calculate the annual emission of perfluorooctanoic acid in the tail water of urban sewage treatment plants. One is to obtain the annual emission of perfluorooctanoic acid in the tail water of urban sewage treatment plants by weighted calculation based on the monitoring concentration of perfluorooctanoic acid 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:

[0071]

[0072] Among them, D y is the annual discharge of PFOA in the tail water of the urban sewage treatment plant, c i is the monitoring concentration of perfluorooctanoic acid 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, the second is to calculate the annual mean perfluorooctanoic acid value of the tail water of the urban sewage treatment plant, and then collect the daily treatment capacity data of urban sewage based on the preset conditions, and finally calculate the annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant based on the annual mean perfluorooctanoic acid value of the tail water of the urban sewage treatment plant and the daily treatment capacity data of urban sewage, the formula is as follows:

[0073]

[0074] Among them, D y is the annual discharge of perfluorooctanoic acid in the tail water of the urban sewage treatment plant, is the annual average perfluorooctanoic acid 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.

[0075] Further, in one embodiment of the invention, the correlation fitting based on the annual perfluorooctanoic acid emission of the tail water of the urban sewage treatment plant and the urban permanent population is performed to obtain a fitting relationship, specifically including: collecting urban permanent population data based on the preset conditions, and then establishing an exponential fitting relationship between the annual perfluorooctanoic acid emission of the tail water of the urban sewage treatment plant and the urban permanent population based on a preset fitting formula, and the formula is as follows: Among them, D y is the annual discharge of PFOA in the tail water of the urban sewage treatment plant, P y is the permanent population of the town, a and b are fitting parameter factors.

[0076] It should be noted that, in this embodiment, after obtaining the annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant, it is necessary to perform correlation fitting with the urban permanent population to obtain a fitting relationship, specifically, to establish an exponential fitting relationship, wherein, in order to ensure the accuracy of the fitting, at least "10" groups of annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant and the urban permanent population are collected, specifically, Figure 4 As shown, in one embodiment of the invention, the correlation fitting calculation formula between the annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant and the urban permanent population is specifically as follows: Accordingly, the fitting parameter factor a is "2.2063" and b is "0.0024". Further, refer to Figure 4 , linear fit R 2 The higher the value, the better the fitting degree. The linear fitting degree R in this embodiment 2 The value is "0.9387", indicating that the correlation fitting degree in this embodiment is very good.

[0077] Further, in one embodiment of the invention, the construction of a prediction model for the permanent population of a town and the prediction of the annual emission of perfluorooctanoic acid in the tail water of a town sewage treatment plant in combination with the fitting relationship specifically include: constructing a prediction model for the permanent population of a town, the formula is as follows: Among them, P is the predicted population, p0 is the permanent population in the initial year of the statistical period, t0 is the initial year, t is the predicted year, and p m , r0 is the population prediction parameter factor; based on the fitting relationship combined with the urban permanent population prediction model, the annual perfluorooctanoic acid discharge of urban sewage treatment plant tail water is obtained, and the formula is as follows:

[0078]

[0079] Among them, D f is the predicted annual emission of PFOA from tail water of urban sewage treatment plants, a and b are fitting parameter factors, p0 is the permanent population in the initial year of the statistical period, t0 is the initial year, t is the predicted year, and p m , r0 is the population prediction parameter factor.

[0080] It should be noted that in this embodiment, in order to ensure the accuracy of fitting, the initial year t0 should be at least ten years before the year in which the perfluorooctanoic acid monitoring concentration of the tail water of the urban sewage treatment plant was collected; at the same time, in order to ensure the accuracy of fitting, at least ten consecutive years of urban permanent population data are required. Specifically, Figure 5 As shown, in one embodiment of the invention, the population is predicted Among them, the population prediction parameter factor p m is "537.81", r0 is "0.29", and the initial year t0 is "2013".

[0081] Furthermore, based on the fitting relationship and the urban permanent population prediction model, the annual perfluorooctanoic acid discharge of urban sewage treatment plant tail water is obtained, and the prediction year is taken as "2030". f According to the prediction formula, the emission of perfluorooctanoic acid in 2030 is predicted to be “8.02” kg.

[0082] The embodiment of the present application also provides a system for predicting the annual emission of perfluorooctanoic acid from the tail water of a municipal sewage treatment plant. The system for predicting the annual emission of perfluorooctanoic acid from the tail water of a municipal sewage treatment plant can implement the method for predicting the annual emission of perfluorooctanoic acid from the tail water of a municipal sewage treatment plant described in the present application. However, the device for implementing the method for predicting the annual emission of perfluorooctanoic acid from the tail water of a municipal sewage treatment plant described in the present application includes but is not limited to the structure of the system for predicting the annual emission of perfluorooctanoic acid from the tail water of a municipal sewage treatment plant 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.

[0083] See also Figure 6 In one embodiment, this embodiment provides a system 60 for predicting annual perfluorooctanoic acid emissions from tail water of a municipal sewage treatment plant, the system comprising:

[0084] An acquisition module 61 is used to acquire basic data, wherein the basic data includes the monitoring concentration of perfluorooctanoic acid in tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants;

[0085] A calculation module 62, for calculating the annual emission of perfluorooctanoic acid in tail water of a municipal sewage treatment plant based on the basic data;

[0086] A fitting module 63 is used to obtain a fitting relationship by performing correlation fitting based on the annual perfluorooctanoic acid discharge in tail water of the urban sewage treatment plant and the urban resident population;

[0087] The prediction module 64 is used to construct a prediction model for the urban permanent population, and to predict the annual emission of perfluorooctanoic acid in the tail water of urban sewage treatment plants in combination with the fitting relationship.

[0088] 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.

[0089] 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.

[0090] 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.

[0091] 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.

[0092] 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.

[0093] An embodiment of the present invention further provides an electronic device, which includes a processor and a memory.

[0094] The memory is used to store computer programs.

[0095] The memory includes: ROM, RAM, disk, USB flash drive, memory card or CD and other media that can store program codes.

[0096] 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 perfluorooctanoic acid in the tail water of a municipal sewage treatment plant.

[0097] 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.

[0098] like Figure 7As 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).

[0099] 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.

[0100] 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.

[0101] 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.

[0102] 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.

[0103] 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.

[0104] 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 discharge of perfluorooctanoic acid from tail water of urban sewage treatment plants, characterized in that: include: Obtain basic data, including the monitoring concentration of perfluorooctanoic 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 perfluorooctanoic acid in tail water of urban sewage treatment plants based on the basic data; A fitting relationship is obtained based on the correlation fitting between the annual perfluorooctanoic acid discharge in the tail water of the urban sewage treatment plant and the urban permanent population; A prediction model for urban permanent population was constructed, and the annual emission of perfluorooctanoic acid in the tail water of urban sewage treatment plants was predicted based on the fitting relationship.

2. The method for predicting annual perfluorooctanoic acid emissions from tail water of urban sewage treatment plants according to claim 1, characterized in that: The obtaining of basic data specifically includes: Collect the monitoring concentration of perfluorooctanoic acid in tail water of urban sewage treatment plants based on preset conditions, wherein the preset conditions at least include year and town; Collecting daily sewage treatment capacity data of urban sewage treatment plants based on the towns in the preset conditions; The basic data is obtained based on the monitoring concentration of perfluorooctanoic 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 perfluorooctanoic acid emissions from tail water of urban sewage treatment plants 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 perfluorooctanoic acid emissions from tail water of urban sewage treatment plants according to claim 2, characterized in that: The calculation of the annual perfluorooctanoic acid discharge in tail water of urban sewage treatment plants based on the basic data specifically includes: Based on the monitoring concentration of perfluorooctanoic acid in the tail water of urban sewage treatment plants and the daily sewage treatment capacity data of urban sewage treatment plants, a weighted calculation is performed to obtain the annual perfluorooctanoic acid discharge in the tail water of the urban sewage treatment plants. The formula is as follows: Among them, D y is the annual discharge of PFOA in the tail water of the urban sewage treatment plant, c i is the monitoring concentration of perfluorooctanoic acid 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 perfluorooctanoic acid emissions from tail water of urban sewage treatment plants according to claim 4, characterized in that: Calculate the annual emission of PFOA in tail water of urban sewage treatment plants, including: The annual mean PFOA 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 perfluorooctanoic acid value of the tail water of the urban sewage treatment plant and the daily treatment capacity data of urban sewage, the annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant is calculated, and the formula is as follows: Among them, D y is the annual emission of perfluorooctanoic acid in the tail water of the urban sewage treatment plant, is the annual average perfluorooctanoic acid 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 perfluorooctanoic acid emissions from tail water of urban sewage treatment plants according to claim 4, characterized in that: The fitting relationship obtained by performing correlation fitting based on the annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant and the urban permanent population specifically includes: Collecting urban resident population data based on the preset conditions; Based on the preset fitting formula, an exponential fitting relationship is established between the annual perfluorooctanoic acid discharge of the tail water of the urban sewage treatment plant and the permanent population of the town, and the formula is as follows: Among them, D y is the annual discharge of PFOA in the tail water of the urban sewage treatment plant, P y is the permanent population of the town, a and b are fitting parameter factors.

7. The method for predicting annual perfluorooctanoic acid emissions from tail water of urban sewage treatment plants according to claim 6, characterized in that: The construction of the urban resident population prediction model and the prediction of the annual perfluorooctanoic acid discharge in the tail water of urban sewage treatment plants in combination with the fitting relationship specifically include: Construct a prediction model for urban permanent population, the formula is as follows: Among them, P is the predicted population, p0 is the permanent population in the initial year of the statistical period, t0 is the initial year, t is the predicted year, and p m , r0 is the population prediction parameter factor; Based on the fitting relationship and the urban permanent population prediction model, the annual perfluorooctanoic acid discharge of urban sewage treatment plant tail water is obtained, and the formula is as follows: Among them, D f is the predicted annual emission of PFOA from tail water of urban sewage treatment plants, a and b are fitting parameter factors, p0 is the permanent population in the initial year of the statistical period, t0 is the initial year, t is the predicted year, and p m , r0 is the population prediction parameter factor.

8. A system for predicting annual perfluorooctanoic acid emissions from tail water of urban sewage treatment plants, characterized in that: include: An acquisition module, used to acquire basic data, wherein the basic data includes the monitoring concentration of perfluorooctanoic 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 perfluorooctanoic acid in tail water of urban sewage treatment plants based on the basic data; A fitting module, used for performing correlation fitting on the annual perfluorooctanoic acid discharge in tail water of the urban sewage treatment plant and the urban resident population to obtain a fitting relationship; The prediction module is used to construct a prediction model for the permanent population of a city or town, and to predict the annual emission of perfluorooctanoic acid from the tail water of a city or town 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, it implements the method for predicting the annual emission of perfluorooctanoic acid in the tail water of a municipal sewage treatment plant as described in any one of claims 1 to 7.

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

Images