An optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands.

Abstract

This invention relates to an optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands, comprising: S1, selecting control factors for the constructed wetland, forming an experimental system using a central coincidence design method, introducing wastewater to be treated into the constructed wetland, monitoring the operation of the constructed wetland, and collecting data on total nitrogen removal and relative abundance of bacteria; S2, using analysis of variance to determine a suitable model method for data fitting, and then constructing prediction models for total nitrogen removal efficiency and relative abundance of anaerobic ammonia-oxidizing bacteria based on the model method; S3, predicting the total nitrogen removal efficiency and relative abundance of anaerobic ammonia-oxidizing bacteria in the constructed wetland, thereby achieving optimized control of the operation and maintenance management of the constructed wetland. The optimized control method provided by this invention can predict the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency of constructed wetlands, guiding the operation and maintenance management of constructed wetlands.

Description

Technical Field

[0001] This invention relates to the field of constructed wetland wastewater treatment technology, and in particular to an optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands. Background Technology

[0002] Constructed wetland technology, as an eco-friendly wastewater treatment method, has been widely applied in the field of wastewater treatment in recent years. Vertical subsurface flow constructed wetlands and horizontal subsurface flow constructed wetlands are common types of constructed wetlands, removing pollutants from wastewater through the synergistic effects of plants, media, and microorganisms. However, conventional constructed wetlands have certain limitations in total nitrogen (TN) removal efficiency, especially in the treatment of wastewater with high nitrogen loads. Due to the limited carbon source required for denitrification, the TN removal efficiency of constructed wetlands often fails to reach ideal levels. TN removal depends not only on different nitrogen transformation pathways (such as nitrification and denitrification) but also on the activity and abundance of specific microbial communities, among which anaerobic ammonia-oxidizing bacteria play a key role in nitrogen removal.

[0003] Anammox is an emerging nitrogen removal technology that can directly convert nitrogen into nitrogen gas through the synergistic effect of ammonium nitrogen (AN) and nitrite nitrogen (NO2-N) under anoxic conditions, thereby significantly improving nitrogen removal efficiency.

[0004] During the operation of constructed wetlands, numerous factors influence the abundance and activity of Anammox bacteria, which are interconnected and complex. Current technologies often struggle to simultaneously address the combined effects of different operating conditions on the removal efficiency of microorganisms and pollutants. This is especially true when treating wastewater with high nitrogen concentrations; how to improve the total nitrogen removal efficiency of constructed wetlands while promoting Anammox growth remains a pressing technical challenge. Summary of the Invention

[0005] To address the aforementioned issues, this invention proposes a constructed wetland operation method based on key parameter optimization control. By utilizing the synergistic effects of water level control height, the total organic carbon (TOC) to total nitrogen (TN) concentration ratio (TOC / TN ratio), and hydraulic loading, the biochemical environment within the wetland is regulated, thereby simultaneously improving the abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency. Through model analysis and optimization, this invention can effectively predict and guide the actual operation of constructed wetlands, improving the stability and treatment effect of wastewater treatment systems.

[0006] The specific plan is as follows:

[0007] An optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands includes the following steps:

[0008] S1. Select control factors for constructed wetlands, form an experimental system using the central composite design method, introduce wastewater to be treated into the constructed wetland, monitor the operation of the constructed wetland, and collect data on total nitrogen removal and relative abundance of anaerobic ammonia-oxidizing bacteria.

[0009] S2. Based on the data collected in S1, use analysis of variance to determine a suitable model method for data fitting, and then construct a prediction model for total nitrogen removal efficiency and a prediction model for the relative abundance of anaerobic ammonia-oxidizing bacteria based on the model method.

[0010] S3. Using the prediction model of total nitrogen removal efficiency and / or the prediction model of relative abundance of anaerobic ammonia-oxidizing bacteria obtained in S2, predict the total nitrogen removal efficiency and relative abundance of anaerobic ammonia-oxidizing bacteria in the constructed wetland, compare the prediction results with the control target, and optimize the operation and maintenance management of the constructed wetland based on the comparison results.

[0011] Furthermore, the constructed wetland is a vertical subsurface flow constructed wetland or a horizontal subsurface flow constructed wetland with downward water inlet, and the water level control height within the constructed wetland is set between 60-90cm.

[0012] Furthermore, the wastewater to be treated has the following characteristics: the concentration ratio of total organic carbon to total nitrogen is 20%-70%, the total nitrogen concentration ranges from 300-800 mg / L, the concentration ratio of ammonium nitrogen to nitrite nitrogen in the total nitrogen is between 1:0.8 and 1:2; the nitrate nitrogen concentration is below 50 mg / L; and the hydraulic load should be 2-10 cm / d.

[0013] Furthermore, the constructed wetland control factors mentioned in S1 include the concentration ratio of total organic carbon to total nitrogen, the concentration ratio of ammonium nitrogen to nitrite nitrogen in total nitrogen, and at least two of the hydraulic loads.

[0014] Furthermore, in S2, a 2FI model is used to construct a prediction model for the total nitrogen removal efficiency, where the total nitrogen removal efficiency % of the constructed wetland is =

[0015] 12.07-0.08*A+0.57*B+6.52*C+0.00218*A*B+0.02*A*C-0.13*B*C,

[0016] Where A is the water level control height in the constructed wetland, in cm; B is the concentration ratio of total organic carbon to total nitrogen, in %; and C is the hydraulic load, in cm / d.

[0017] Furthermore, in S2, a linear model is used to construct a prediction model for the relative abundance of the anaerobic ammonia-oxidizing bacteria: anaerobic ammonia-oxidizing bacteria relative abundance % = 8.6 + 0.14*A - 0.18*B + 1.57*C.

[0018] Where A is the water level control height in the constructed wetland, in cm; B is the concentration ratio of total organic carbon to total nitrogen, in %; and C is the hydraulic load, in cm / d.

[0019] Furthermore, in S3, the prediction models for total nitrogen removal efficiency and relative abundance of anaerobic ammonia-oxidizing bacteria obtained in S2 are optimized using a hill-climbing algorithm to determine the relatively optimal combination of conditions, thereby achieving simultaneous optimization of the relative abundance of anaerobic ammonia-oxidizing bacteria and total nitrogen removal efficiency.

[0020] Furthermore, when the concentration ratio of total organic carbon to total nitrogen in the constructed wetland is 20-30%, the water level in the constructed wetland is controlled at 80-90cm, and the hydraulic load is controlled at 9-10cm / d, thereby achieving simultaneous optimization of the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency.

[0021] This invention also protects an optimized control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands, comprising a processor, a memory, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the method.

[0022] The present invention also protects a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method.

[0023] Beneficial effects: The optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands provided by this invention can predict the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency of constructed wetlands, and guide the operation and maintenance management of constructed wetlands.

[0024] This invention promotes the growth and activity of anaerobic ammonia-oxidizing bacteria by optimizing and controlling key parameters such as water level in wetlands, the ratio of total organic carbon (TOC) to total nitrogen (TN) in wastewater, and hydraulic load, thereby improving the removal efficiency of total nitrogen in wastewater by constructed wetland systems and achieving efficient wastewater purification.

[0025] Furthermore, based on the analysis of the prediction model, the water level control height in the constructed wetland is set at 80-90cm and the hydraulic load is controlled at 9-10cm / d, so that the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency of the constructed wetland can reach a high level simultaneously. Attached Figure Description

[0026] To more clearly illustrate the technical solution of the present invention, the accompanying drawings will be briefly described below. Obviously, the drawings described below only relate to some embodiments of the present invention and are not intended to limit the present invention.

[0027] Figure 1 This is a flowchart of an optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands, provided by an embodiment of the present invention. Detailed Implementation

[0028] Preferred embodiments of the present invention will now be described in more detail. While preferred embodiments of the present invention are described below, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Where specific techniques or conditions are not specified in the embodiments, they are performed in accordance with the techniques or conditions described in the literature in the art or in accordance with the product manual. The test methods used below include:

[0029] Example 1

[0030] An optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands, such as... Figure 1 As shown, it includes the following steps:

[0031] S1. Select control factors for constructed wetlands, form an experimental system using the central composite design method, introduce wastewater to be treated into the constructed wetland, monitor the operation of the constructed wetland, and collect data on total nitrogen removal and relative abundance of anaerobic ammonia-oxidizing bacteria.

[0032] In this embodiment, either a vertical subsurface flow constructed wetland or a horizontal subsurface flow constructed wetland with downward-flowing water is selected, as this type of constructed wetland is well-suited to the method of this invention. The water level in the constructed wetland is controlled at a height between 60-90 cm. The treated wastewater must have the following characteristics: the total organic carbon (TOC) to total nitrogen (TN) concentration ratio (TOC / TN) should be between 20% and 70%; the total nitrogen concentration should be between 300-800 mg / L; the concentration ratio of ammonium nitrogen (AN) to nitrite nitrogen (NO2-N) in the total nitrogen should be between 1:0.8 and 1:2; and the nitrate nitrogen (NO3-N) concentration should be controlled below 50 mg / L. The hydraulic load should be controlled at 2-10 cm / d.

[0033] In this embodiment, the water level control height, the concentration ratio of total organic carbon (TOC) to total nitrogen (TN), the concentration ratio of ammonium nitrogen (AN) to nitrite nitrogen (NO2-N) in total nitrogen, and the hydraulic load were used as control factors. A central composite design method was used to form 30 experimental systems. Through long-term operation and monitoring, data on total nitrogen removal rate and relative bacterial abundance were collected.

[0034] The inventors considered the following factors when selecting the above control factors:

[0035] 1. After the construction of an artificial wetland, there are very limited methods for optimizing and regulating it without causing damage or reconstruction. Currently, the commonly used methods are adjusting the hydraulic load, adjusting the water level control height within the wetland, adjusting the recirculation ratio, and adjusting the composition information of the influent. Among these, adjusting the recirculation ratio mainly serves to enhance denitrification. However, the inventor's previous research has shown that this method is not conducive to the enrichment of anaerobic ammonia-oxidizing bacteria.

[0036] 2. The ratio of total organic carbon (TOC) to total nitrogen (TN), and the ratio of ammonium nitrogen (AN) to nitrite nitrogen (NO2-N) in total nitrogen are used as setting factors mainly considering the following points: First, it is a constraint on the rationalization of the treatment target to ensure the applicability of the model. For example, if TOC / TN is arbitrarily set to 100:1, then in reality, it is not necessary to use anaerobic ammonia oxidation constructed wetlands for treatment, and anaerobic bioreactors are more suitable, and the results given by the model will also have a large deviation.

[0037] Given the high accuracy of model predictions, more control scenarios (i.e., other control factors) can be generated, and then the model can be used for prediction. The prediction results can then be combined with the control conditions for optimized control. It is important to note that the process regulation of constructed wetlands is a systematic and holistic regulatory system; controlling only one factor or condition is not feasible and cannot achieve stable control results.

[0038] In this embodiment, the total nitrogen removal rate was obtained by the following method:

[0039] Total nitrogen concentration was determined by alkaline potassium persulfate oxidation-ultraviolet spectrophotometry. Total nitrogen removal rate = (influent total nitrogen concentration - effluent total nitrogen concentration) / influent total nitrogen concentration.

[0040] Bacterial relative abundance mainly refers to the relative abundance of anaerobic ammonia-oxidizing bacteria, which is obtained as follows:

[0041] The number of operational taxonomic units (OTUs) and the total number of bacterial OTUs for each anaerobic ammonia-oxidizing bacterium were determined using 16S amplicon sequencing or metagenomic sequencing. The relative abundance of anaerobic ammonia-oxidizing bacteria was calculated as X / Y, where X is the sum of the OTUs for each anaerobic ammonia-oxidizing bacterium, and Y is the total number of bacterial OTUs.

[0042] S2. Based on the data collected in S1, use analysis of variance to determine a suitable model method for data fitting, and then construct a prediction model for total nitrogen removal efficiency and a prediction model for the relative abundance of anaerobic ammonia-oxidizing bacteria based on the model method.

[0043] In this embodiment, the conditional values ​​of the control factors and the collected data of the constructed wetland under certain conditional values ​​are used, and then analysis of variance is used to determine a suitable model method for data fitting. There are many methods for building models based on data, such as random forests, support vector machines, and neural networks, all of which can establish predictive models.

[0044] Based on the results of the analysis of variance and whether the model exhibits overfitting, this embodiment uses a linear model to construct a prediction model for the relative abundance of anaerobic ammonia-oxidizing bacteria as follows:

[0045] The relative abundance (%) of anaerobic ammonia-oxidizing bacteria = 8.6 + 0.14*A - 0.18*B + 1.57*C.

[0046] Where A is the water level control height in the wetland, in cm; B is the TOC / TN value, in %; and C is the hydraulic load, in cm / d.

[0047] Based on the analysis of variance results, this embodiment uses a 2FI model to construct a predictive model for the total nitrogen removal efficiency of constructed wetlands. The 2FI model, short for Two Factor Interactive, is a common data model that focuses on the interaction between two factors, rather than considering the individual effects of each factor. In statistics and data analysis, two-factor interaction models are used to study how two variables jointly influence one or more outcome variables, rather than simply considering their individual effects on the outcome. This model can reveal the interaction between two variables and the response trend of the dependent variable, overcoming the limitations of interpreting results by a single variable. The application of two-factor interaction models is wide-ranging, including but not limited to social sciences, medical research, and marketing. For example, in medical research, two drugs or treatments may each have a therapeutic effect on a certain disease, but when used simultaneously, they may produce different effects—these effects may be greater than, equal to, or less than the sum of the effects of using them individually. Two-factor interaction models can more accurately assess the combined effect of these two treatments, thereby providing more effective treatment options.

[0048] Furthermore, two-factor interaction models can be used to explore whether the interactions between variables produce synergistic or antagonistic effects. Synergistic effects mean that the combined effect of the two factors is greater than the sum of their individual effects, while antagonistic effects mean that the combined effect of the two factors is less than the sum of their individual effects. This analysis helps to better understand the relationships between variables, thereby enabling more accurate predictions and decisions.

[0049] The prediction model for total nitrogen removal efficiency of constructed wetlands, constructed using the 2FI model, is as follows:

[0050] The total nitrogen removal efficiency (%) of the constructed wetland = 12.07 - 0.08*A + 0.57*B + 6.52*C + 0.00218*A*B + 0.02*A*C - 0.13*B*C.

[0051] Where A is the water level control height in the wetland, in cm; B is the TOC / TN value, in %; and C is the hydraulic load, in cm / d.

[0052] S3. Using the prediction model of total nitrogen removal efficiency and / or the prediction model of relative abundance of anaerobic ammonia-oxidizing bacteria obtained in S2, predict the total nitrogen removal efficiency and relative abundance of anaerobic ammonia-oxidizing bacteria in the constructed wetland, compare the prediction results with the control target, and optimize the operation and maintenance management of the constructed wetland based on the comparison results.

[0053] In this embodiment, three sets of test analyses were conducted using actual constructed wetlands with different values ​​of control factors. The results are shown in Table 1.

[0054] Table 1 Model Prediction and Measured Data

[0055]

[0056] As can be seen from Table 1, the prediction model of the present invention has good performance and can reflect the response change trend of the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency of constructed wetlands.

[0057] Therefore, using the method of this invention, a target value for total nitrogen removal efficiency can be set, and then the target can be achieved by controlling the conditional values ​​of control factors. Alternatively, the total nitrogen removal efficiency and the relative abundance of anaerobic ammonia-oxidizing bacteria can be predicted by real-time monitoring of the conditional values ​​of control factors, thereby guiding the operation and maintenance management of constructed wetlands.

[0058] To achieve the optimal control level, a hill-climbing algorithm is used to select the best combination of conditions based on the two sets of prediction models mentioned above. This allows the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency of constructed wetlands to reach a relatively high level simultaneously.

[0059] Specifically, for low-carbon, high-nitrogen wastewater (i.e., TOC / TN = 20-30%), setting the water level at 80-90 cm and the hydraulic load at 9-10 cm / d within the wetland can achieve a relatively high level of both relative abundance of anaerobic ammonia-oxidizing bacteria and total nitrogen removal efficiency of the constructed wetland. This type of wastewater was chosen because it provides very few carbon and electron donors for denitrifying bacteria, making total nitrogen removal difficult to solve through denitrification alone; therefore, the assistance of anaerobic ammonia oxidation is urgently needed.

[0060] To verify whether setting the water level control height to 80-90cm and the hydraulic load control to 9-10cm / d in the wetland is beneficial to total nitrogen removal and target bacteria enrichment, a verification analysis was conducted, and the results are shown in Table 2 below.

[0061] Table 2 Validation Data Table

[0062]

[0063] As shown in Table 2, setting the water level control height in the constructed wetland at 80-90cm and the hydraulic load control at 9-10cm / d resulted in a significantly higher measured total nitrogen removal rate and relative abundance of anaerobic ammonia-oxidizing bacteria than under conditions with lower water levels and lower hydraulic loads. This demonstrates that setting the water level control height in the constructed wetland at 80-90cm and the hydraulic load control at 9-10cm / d is indeed beneficial for total nitrogen removal and the enrichment of anaerobic ammonia-oxidizing bacteria.

[0064] Example 2:

[0065] The present invention also provides an optimized control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps in the above-described method embodiments of Embodiment 1 of the present invention.

[0066] Furthermore, as an executable solution, the optimized control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. The optimized control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the above-described composition of the optimized control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands is merely an example and does not constitute a limitation on the optimized control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands. It may include more or fewer components than described above, or combine certain components, or different components. For example, the optimized control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands may also include input / output devices, network access devices, buses, etc., which are not limited in this embodiment of the present invention.

[0067] Furthermore, as an executable solution, the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices. The general-purpose processor can be a microprocessor or any conventional processor. This processor serves as the control center of the optimized control terminal equipment for total nitrogen removal and anaerobic ammonia oxidation bacteria enrichment in the constructed wetland, connecting various parts of the equipment via various interfaces and lines.

[0068] The memory can be used to store the computer programs and / or modules. The processor, by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory, realizes various functions of the optimized control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in the constructed wetland. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function; the data storage area may store data created based on the use of the mobile phone, etc. In addition, the memory may include high-speed random access memory and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0069] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the method described in the embodiments of the present invention.

[0070] If the module / unit of the optimized control terminal equipment for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in the constructed wetland is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), and a software distribution medium, etc.

[0071] The preferred embodiments of the present invention have been described in detail above. However, the present invention is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0072] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

[0073] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed by the present invention.

Claims

1. An optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands, characterized in that: Includes the following steps: S1. Select control factors for the constructed wetland, and form an experimental system using a central composite design method. Introduce the wastewater to be treated into the constructed wetland, monitor its operation, and collect data on total nitrogen removal and the relative abundance of anaerobic ammonia-oxidizing bacteria. The wastewater to be treated has the following characteristics: the concentration ratio of total organic carbon to total nitrogen is 20%-70%, the total nitrogen concentration ranges from 300-800 mg / L, the concentration ratio of ammonium nitrogen to nitrite nitrogen in total nitrogen is between 1:0.8 and 1:2, the nitrate nitrogen concentration is below 50 mg / L, and the hydraulic loading should be 2-10 cm / d. The control factors for the constructed wetland in S1 include the concentration ratio of total organic carbon to total nitrogen, the concentration ratio of ammonium nitrogen to nitrite nitrogen in total nitrogen, and the hydraulic loading. S2. Based on the data collected in S1, use analysis of variance to determine a suitable model method for data fitting, and then construct a prediction model for total nitrogen removal efficiency and a prediction model for the relative abundance of anaerobic ammonia-oxidizing bacteria based on the model method. S3. Using the prediction model of total nitrogen removal efficiency and the prediction model of relative abundance of anaerobic ammonia-oxidizing bacteria obtained in S2, predict the total nitrogen removal efficiency and relative abundance of anaerobic ammonia-oxidizing bacteria in the constructed wetland, compare the prediction results with the control target, and optimize the operation and maintenance management of the constructed wetland based on the comparison results.

2. The optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands according to claim 1, characterized in that: The constructed wetland is a vertical subsurface flow constructed wetland or a horizontal subsurface flow constructed wetland with water entering from below, and the water level control height in the constructed wetland is set between 60-90cm.

3. The optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands according to claim 1, characterized in that: In S2, a 2FI model is used to construct a prediction model for the total nitrogen removal efficiency. The total nitrogen removal efficiency % of the constructed wetland is... 12.07 - 0.08 × A + 0.57 × B + 6.52 × C + 0.00218 × A × B + 0.02 × A × C - 0.13 × B × C Where A is the water level control height within the constructed wetland, in cm; B is the ratio of total organic carbon to total nitrogen concentration, in %; and C is the hydraulic load, in cm / d.

4. The optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands according to claim 1, characterized in that: In S2, a linear model is used to construct a prediction model for the relative abundance of the anaerobic ammonia-oxidizing bacteria: anaerobic ammonia-oxidizing bacteria relative abundance % = 8.6 + 0.14 × A - 0.18 × B + 1.57 × C. Where A is the water level control height within the constructed wetland, in cm; B is the ratio of total organic carbon to total nitrogen concentration, in %; and C is the hydraulic load, in cm / d.

5. The optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands according to claim 3 or 4, characterized in that: In S3, the prediction models for total nitrogen removal efficiency and relative abundance of anaerobic ammonia-oxidizing bacteria obtained in S2 are optimized using a hill-climbing algorithm to determine the relatively optimal combination of conditions, thereby achieving simultaneous optimization of the relative abundance of anaerobic ammonia-oxidizing bacteria and total nitrogen removal efficiency.

6. The optimized control method for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands according to claim 5, characterized in that: When the ratio of total organic carbon to total nitrogen in the constructed wetland is 20-30%, the water level in the constructed wetland is controlled at 80-90cm, and the hydraulic load is controlled at 9-10cm / d, so as to achieve simultaneous optimization of the relative abundance of anaerobic ammonia-oxidizing bacteria and the total nitrogen removal efficiency.

7. An optimized control terminal device for total nitrogen removal and anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and running on the processor, wherein the processor executes the steps of the optimization control method as described in any one of claims 1-6 when running the computer program.

8. A computer-readable storage medium storing a computer program, characterized in that: The computer program is executed by the processor to perform the steps of the optimization control method as described in any one of claims 1-6.

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