An optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation

Abstract

This invention relates to an optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation, comprising: S1, selecting key niche indicators of constructed wetlands as investigation factors, differentially setting the investigation factors to form experimental systems with different niches, conducting constructed wetland control and monitoring, and collecting data; S2, using the relative abundance and / or absolute abundance of anaerobic ammonia-oxidizing bacteria collected in S1 as dependent variables and the key niche indicators as independent variables, fitting and then predicting a model; S3, making predictions using the prediction model, comparing the prediction results with the control target, and optimizing the control of anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands based on the comparison results. This method can obtain a prediction model with high prediction accuracy, and then, by adjusting the niche indicators in constructed wetlands, the enrichment of anaerobic ammonia-oxidizing bacteria can be ensured, wastewater treatment efficiency can be improved, and a better total nitrogen removal effect can be achieved.

Description

Technical Field

[0001] This invention relates to the field of anaerobic ammonia-oxidizing bacteria enrichment technology, and to an optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation. Background Technology

[0002] Total nitrogen (TNO) removal is a critical objective in wastewater treatment, and biological processes, as the primary pathway for TNO removal, have always been a focus of attention in this field. Traditional denitrification removes TNO by reducing nitrate nitrogen to nitrogen gas using heterotrophic microorganisms. However, denitrification requires an external organic carbon source, such as methanol or acetic acid, to provide electron donors, which increases operating costs and carbon footprint.

[0003] Against this backdrop, anammox, as a novel biological nitrogen removal technology, has demonstrated significant advantages. The anammox process utilizes obligate anammox bacteria under anaerobic conditions, using nitrite as an electron acceptor to directly oxidize ammonium nitrogen into nitrogen gas, without requiring an additional carbon source. The chemical reaction formula for this process is: 1,3-2NH₄⁻ + +1.02NO2 - →1.02N2+0.26NO3 - +2H2O.

[0004] Compared to the traditional nitrification-denitrification process, anammox has higher nitrogen removal efficiency and lower energy consumption. Studies have shown that anammox can save more than 50% of aeration energy consumption and reduce sludge generation by 90%. In actual operation, the anammox process treats an ammonium nitrogen loading of 0.5-1.0 kg N / (m³). 3 At step d), nitrogen removal efficiency can reach over 80%. Compared with traditional processes, its carbon source requirement is reduced by nearly 100%, and it performs particularly well in treating wastewater with high ammonium nitrogen content (such as livestock and poultry farm wastewater). In addition, anaerobic ammonium oxidation helps reduce greenhouse gas emissions (such as N2O), making the wastewater treatment process more sustainable.

[0005] Constructed wetlands are near-natural ecological treatment technologies that purify wastewater through the coupling of biological, physical, and chemical processes, based on artificial design, construction, operation, and maintenance management, using plants, natural substrates, or artificial media as building materials, and implemented under low-carbon and low-cost conditions.

[0006] The enrichment of anaerobic ammonia-oxidizing bacteria in constructed wetlands faces multiple challenges, primarily including their extremely slow growth rate, demanding environmental requirements, and weak competitiveness with other microorganisms. The generation time of anaerobic ammonia-oxidizing bacteria can be as long as 10-30 days, far exceeding that of other nitrifying and denitrifying bacteria, making it difficult for them to rapidly occupy ecological niches under natural conditions.

[0007] Therefore, it is of great significance to ensure the enrichment of anammox bacteria by adjusting the ecological niche indicators in wetlands. However, in existing technologies, there are numerous ecological niche indicators in constructed wetlands. Some of these indicators are not coherent with the enrichment of anammox bacteria, while others have multiple effects on the enrichment of anammox bacteria, making it difficult to obtain stable enrichment results. Summary of the Invention

[0008] The purpose of this invention is to overcome the difficulties in the existing regulation of anaerobic ammonia-oxidizing bacteria enrichment in constructed wetlands, and to provide an optimized control method for anaerobic ammonia-oxidizing bacteria enrichment based on niche regulation.

[0009] Traditionally, it is believed that the dissolved oxygen content in constructed wetlands should be controlled below 1 mg / L, and the organic matter content (usually expressed as chemical oxygen demand) should be strictly controlled. This is because traditional research suggests that anaerobic ammonia-oxidizing bacteria are strictly anaerobic bacteria, and higher dissolved oxygen will inhibit their growth, while the presence of organic matter will promote the growth of denitrifying bacteria, thus creating competition for nutrient substrates (nitrite nitrogen) between the two types of bacteria.

[0010] However, the inventors believe that the above understanding is mostly inherited from the research results of bioreactors, ignoring the structural characteristics of constructed wetlands and the synergistic relationship between microorganisms. As a result, the control effect of anaerobic ammonia oxidizing bacteria based on the above cognitive biases is unstable and it is difficult to achieve the expected bacterial enrichment.

[0011] Through experimental research, the inventors further discovered that when dissolved oxygen levels are controlled below 1 mg / L and no organic matter is added, the extracellular polymeric substances secreted by microorganisms are extremely low. Anaerobic ammonia-oxidizing bacteria, with their slow growth characteristics, struggle to form biofilms, making it difficult for them to accumulate in the system. Simultaneously, the study found that while organic matter addition can enhance the accumulation of denitrifying bacteria, regulation within the effective control range promotes the conversion of nitrate nitrogen to nitrite nitrogen, without creating competition between the two types of bacteria; rather, a synergistic effect is observed. Furthermore, existing technologies typically neglect the synergistic effects of key niche indicators within wetlands. A quantitative model for the synergistic influence of key niche indicators on the relative and absolute abundance of anaerobic ammonia-oxidizing bacteria has not yet been established. Such a model is crucial for the quantitative design of niche regulation and can directly guide the development of strategies for enhancing the accumulation of anaerobic ammonia-oxidizing bacteria. Based on the above, this application investigated the synergistic effects of niche indicators (pH, DO, AN, NO2-N, NO3-N, B-COD) and fitted them with a multiple linear model to obtain a prediction model for the relative and absolute abundance of anaerobic ammonia-oxidizing bacteria. The prediction model was verified to match the measured values ​​well and has a certain degree of prediction accuracy.

[0012] The specific plan is as follows:

[0013] An optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation includes the following steps:

[0014] S1. Select key ecological niche indicators of constructed wetlands as investigation factors, and set differential settings for the investigation factors to form experimental systems with different ecological niches; introduce wastewater to be treated into the constructed wetlands, control and monitor the constructed wetlands according to the experimental systems, and collect data on the relative abundance and / or absolute abundance of anaerobic ammonia-oxidizing bacteria.

[0015] S2. Using the relative abundance and / or absolute abundance of the anaerobic ammonia oxidizing bacteria collected in S1 as the dependent variable and the key ecological niche index as the independent variable, the relative abundance and absolute abundance of anaerobic ammonia oxidizing bacteria are fitted using a multiple linear model to obtain a prediction model for the relative abundance of anaerobic ammonia oxidizing bacteria and / or a prediction model for the absolute abundance of anaerobic ammonia oxidizing bacteria.

[0016] S3. Using the relative abundance prediction model and / or absolute abundance prediction model of anaerobic ammonia oxidizing bacteria obtained in S2, predict the relative abundance and / or absolute abundance of anaerobic ammonia oxidizing bacteria in the constructed wetland, compare the prediction results with the control target, and optimize the enrichment control of anaerobic ammonia oxidizing bacteria in the constructed wetland based on the comparison results.

[0017] Furthermore, the key niche indicators mentioned in S1 include at least two of the following: water pH, dissolved oxygen (DO) in the water, ammonium nitrogen (AN) concentration in the water, nitrite nitrogen (NO2-N) concentration in the water, nitrate nitrogen (NO3-N) concentration in the water, and corrected chemical oxygen demand (B-COD) in the water.

[0018] Furthermore, the calculation method for the corrected chemical oxygen demand (B-COD) in water as described in S1 is as follows: the measured COD value is corrected based on the concentration of nitrite in the water body, and the calculation formula is B-COD = x - 1.14z, where x is the COD concentration of the water body in mg / L, and the COD concentration of the water body is preferably determined by the potassium dichromate method; z is the nitrite concentration of the water body in mg / L, and the nitrite concentration of the water body is preferably determined by ion chromatography.

[0019] Furthermore, the constructed wetland described in S1 is an upwelling horizontal subsurface flow constructed wetland with a designed water level height of less than or equal to 60 cm, or the oxygen content of the water at the bottom of the constructed wetland is not less than 0.5 mg / L.

[0020] Furthermore, in S1, the evaluation factors are set differently within a certain range, including: the dissolved oxygen (DO) in the water of the constructed wetland is 1-2.5 mg / L, and the pH of the water is 7.3-8.4;

[0021] Preferably, the pH level of the water in the constructed wetland is linearly related to the dissolved oxygen (DO) content of the water, with the linear equation being: DO = -1.3837 * pH + 13.36. The pH and / or dissolved oxygen content of the water in the constructed wetland are regulated according to the linear equation.

[0022] Furthermore, S1 includes setting the evaluation factors within a certain range, and also includes ensuring that the nutrient state in the constructed wetland meets the following conditions: the ammonium nitrogen concentration AN in the constructed wetland is controlled at 10-200 mg / L, the nitrite nitrogen concentration NO2-N is controlled at 30-300 mg / L, the nitrate nitrogen concentration NO3-N is controlled at 20-120 mg / L, and the corrected water chemical oxygen demand B-COD is controlled at 25-200 mg / L; and the ratio of AN to NO2-N is maintained at 5%-100%, the ratio of B-COD to AN is maintained at 30%-400%, the ratio of NO2-N to NO3-N is maintained at 100%-300%, and the ratio of COD to NO3-N is maintained at 15%-40%.

[0023] Furthermore, the relative abundance prediction model for anaerobic ammonia-oxidizing bacteria is as follows:

[0024] Relative abundance = 72.9001 + 0.4084 * DO + -6.4204 * pH + -0.022 * AN + -0.0285 * NO2-N + -0.0602 * NO3-N + 0.0131 * B-COD, where the input values ​​of DO, AN, NO2-N, NO3-N, and B-COD are in mg / L.

[0025] Furthermore, the absolute abundance prediction model for anaerobic ammonia-oxidizing bacteria is as follows:

[0026] Absolute abundance = -4878056 + 19797121 * DO + 8538451 * pH + 157015 * AN + -255475 * NO2-N + -295679 * NO3-N + 95166 * B-COD, where the input values ​​of DO, AN, NO2-N, NO3-N, and B-COD are in mg / L.

[0027] This invention also protects a terminal device for an optimized control method of enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation, 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.

[0028] 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.

[0029] Beneficial Effects: The present invention provides an optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation. By using key niche indicators of constructed wetlands as factors of investigation, and setting differences in these factors, the relative and absolute abundance of anaerobic ammonia-oxidizing bacteria in multiple experimental systems with different niches were analyzed. Subsequently, using the collected data from these systems, with the relative and absolute abundance of anaerobic ammonia-oxidizing bacteria as dependent variables and the key niche indicators as independent variables, a multiple linear model was used to fit the two abundance values, thereby deriving a relevant prediction model.

[0030] Furthermore, this application corrects for chemical oxygen demand, thereby improving the reliability of the prediction model and overcoming the interference of nitrite content in the water body on the model.

[0031] Furthermore, this application focuses on the synergistic effect of water level depth and dissolved oxygen in constructed wetlands, thereby controlling the design water level of constructed wetlands to be less than or equal to 60 cm, thus ensuring the effective enrichment of anaerobic ammonia-oxidizing bacteria.

[0032] In examining the correspondence between key ecological niche indicators and the abundance of anaerobic ammonia-oxidizing bacteria, this application controls the key ecological niche indicators in constructed wetlands within a certain range, so that the obtained data can better match the multiple linear model, ensuring that the prediction model has good accuracy.

[0033] In summary, the optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation of the present invention can achieve the enrichment of anaerobic ammonia-oxidizing bacteria by controlling niche indicators, thereby reducing the difficulty of constructed wetland management and maintenance and promoting the maintenance of high water purification efficiency in constructed wetlands. Attached Figure Description

[0034] 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.

[0035] Figure 1 This is a flowchart of an optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation, provided in one embodiment of the present invention.

[0036] Figure 2 This is a graph showing the relationship between relative bacterial abundance and wetland water depth, provided in one embodiment of the present invention.

[0037] Figure 3 This is a graph showing the relationship between absolute bacterial abundance and wetland water depth, provided in one embodiment of the present invention.

[0038] Figure 4 This is a graph showing the relationship between dissolved oxygen content and wetland water level depth, provided in one embodiment of the present invention. Detailed Implementation

[0039] 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 techniques or conditions described in the literature in the art or according to the product instructions. Reagents or instruments whose manufacturers are not specified are all commercially available conventional products. In the following embodiments, unless otherwise specified, "%" refers to weight percentage.

[0040] Example 1

[0041] An optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation, such as... Figure 1 As shown, it includes the following steps:

[0042] S1. Select key ecological niche indicators of constructed wetlands as investigation factors, and set differential settings for the investigation factors to form experimental systems with different ecological niches; introduce wastewater to be treated into the constructed wetlands, control and monitor the constructed wetlands according to the experimental systems, and collect data on the relative abundance and / or absolute abundance of anaerobic ammonia-oxidizing bacteria.

[0043] Selecting appropriate key ecological niche indicators for constructed wetlands is crucial for the accuracy of prediction models. Process regulation is a systematic and holistic regulatory system; controlling only one factor is not feasible. The key ecological niche indicators selected in this embodiment include: water pH, dissolved oxygen (DO), ammonium nitrogen (AN), nitrite nitrogen (NO2-N), nitrate nitrogen (NO3-N), and corrected chemical oxygen demand (B-COD).

[0044] For microorganisms, nutrient substrates are a necessary condition for their growth. Therefore, given that anaerobic ammonia-oxidizing bacteria are denitrifying microorganisms, this embodiment uses the nutrient substrates that affect denitrifying microorganisms as the selection index.

[0045] Constructed wetlands typically regulate microbial communities by altering hydraulic load, hydraulic retention time, and water level. Essentially, this involves changing environmental nutrient levels and key growth conditions. Dissolved oxygen and pH are key growth conditions, and both influence microbial growth by affecting the oxidation-reduction processes and osmotic pressure of surrounding substances. Therefore, this embodiment also selects DO and pH as factors for consideration.

[0046] This embodiment analyzes the impact of different wetland structures on the enrichment of anaerobic ammonia-oxidizing bacteria. The study found that when the designed wetland water depth is 90 cm, the relative and absolute abundance of these bacteria at the bottom of the system are the lowest. However, as the designed water depth decreases, the abundance of anaerobic ammonia-oxidizing bacteria significantly increases. Figure 2 , Figure 3 As shown. Through the measurement of ecological niche indicators of the wetland subsurface, the study found that only dissolved oxygen content showed significant differences (P<0.01), such as... Figure 4 As shown, this study highlights the importance of the synergistic effect between wetland water level and dissolved oxygen.

[0047] Therefore, in this embodiment, niche control is based on an upwelling horizontal subsurface flow constructed wetland operation mode. The designed water level of the constructed wetland should be less than or equal to 60 cm to ensure the natural oxygen transfer rate from the atmosphere and prevent severe anaerobic conditions at the wetland bottom (i.e., less than 0.5 mg / L). The dissolved oxygen (DO) content in the constructed wetland water should be no less than 1 mg / L. If this level is not reached, artificial aeration should be considered, but the dissolved oxygen content in the wetland should be controlled to be no higher than 2.5 mg / L during the aeration process. The pH level of the constructed wetland water should be controlled between 7.3 and 8.4. The pH control level should have a linear relationship with dissolved oxygen, which can be designed with reference to the following linear equation: DO = -1.3837 * pH + 13.36. The set values ​​of dissolved oxygen and pH should be controlled within the above range. When the predicted value given by the linear equation exceeds its range, the closest value within the control range should be taken.

[0048] In this embodiment, the corrected COD value (i.e., B-COD) is used as the setting condition because anaerobic ammonia-oxidizing bacteria require nitrite as a substrate for enrichment, and the wastewater needs to have a high nitrite concentration. The presence of nitrite will lead to an overestimation of the COD detection result (1 gram of nitrite can be converted into 1.14 grams of COD). Therefore, setting the COD according to the existing patent standards will affect the reliability of the actual operation process.

[0049] In this embodiment, B-COD corrects the measured COD value based on the nitrite concentration. The specific formula is B-COD = x - 1.14z, where x is the COD concentration (mg / L) in the wastewater determined by the potassium dichromate method, and z is the nitrite concentration (mg / L) in the wastewater determined by ion chromatography.

[0050] When setting differential parameters, the nutrient status in the constructed wetland should also be considered, specifically meeting the following requirements: ammonium nitrogen (AN) concentration range of 10-200 mg / L, nitrite nitrogen (NO2-N) concentration range of 30-300 mg / L, nitrate nitrogen (NO3-N) concentration range of 20-120 mg / L, and beta-COD concentration range of 25-200 mg / L. Furthermore, the ratio of AN to NO2-N should be maintained between 5% and 100%, the ratio of B-COD to AN between 30% and 400%, the ratio of NO2-N to NO3-N between 100% and 300%, and the ratio of COD to NO3-N between 15% and 40%.

[0051] Controlling the critical niche indicators of constructed wetlands within the aforementioned ranges improves prediction accuracy. When controlling constructed wetlands, any external disturbances that alter critical niche indicators should also remain within these ranges. Examples include changing the pH of the water by adding acid or alkali reagents, or increasing oxygen levels by activating aeration devices. By altering the values ​​of these critical niche indicators to achieve differentiated target settings, and then conducting tests, the relative and absolute abundance of anaerobic ammonia-oxidizing bacteria in multiple experimental systems with different niche indicators can be obtained.

[0052] S2. Using the relative abundance and / or absolute abundance of the anaerobic ammonia-oxidizing bacteria collected in S1 as the dependent variable and the key ecological niche index as the independent variable, a multiple linear model is used to fit the relative abundance and absolute abundance of anaerobic ammonia-oxidizing bacteria, thereby deriving a prediction model for the relative abundance of anaerobic ammonia-oxidizing bacteria and / or a prediction model for the absolute abundance of anaerobic ammonia-oxidizing bacteria.

[0053] The prediction model obtained from the relative abundance (%) and absolute abundance (copy number / g) of anaerobic ammonia-oxidizing bacteria in the constructed wetland in this embodiment is as follows:

[0054] Relative abundance = 72.9001 + 0.4084 * DO + -6.4204 * pH + -0.022 * AN + -0.0285 * NO2-N + -0.0602 * NO3-N + 0.0131 * B-COD;

[0055] Absolute abundance = -4878056 + 19797121 * DO + 8538451 * pH + 157015 * AN + -255475 * NO2-N + -295679 * NO3-N + 95166 * B-COD;

[0056] The input values ​​for DO, AN, NO2-N, NO3-N, and B-COD are in mg / L.

[0057] S3. Using the relative abundance prediction model and / or absolute abundance prediction model of anaerobic ammonia oxidizing bacteria obtained in S2, predict the relative abundance and / or absolute abundance of anaerobic ammonia oxidizing bacteria in the constructed wetland, compare the prediction results with the control target, and optimize the enrichment control of anaerobic ammonia oxidizing bacteria in the constructed wetland based on the comparison results.

[0058] In this embodiment, the model prediction performance under three different conditions was examined, as shown in Table 1:

[0059] Table 1 Validation data of the prediction model

[0060]

[0061] As can be seen from Table 1, the above prediction model has a certain degree of accuracy, and its accuracy in predicting relative abundance is higher than that in predicting absolute abundance.

[0062] Given the high accuracy of the model's predictions, more niche scenarios can be generated and the model used for prediction. Then, the prediction results can be combined with niche indicators, and other model building methods (such as random forests, support vector machines, and neural networks) can be used to build a predictive model.

[0063] Example 2

[0064] The present invention also provides an optimized control terminal device for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation, 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 embodiment of Embodiment 1 of the present invention.

[0065] Furthermore, as an executable solution, the optimized control terminal device for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. The optimized control terminal device for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation 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 the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation is merely an example and does not constitute a limitation on the optimized control terminal device for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation. 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 the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation may also include input / output devices, network access devices, buses, etc., which are not limited in this respect in this embodiment of the invention.

[0066] 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 device for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation, connecting all parts of the device via various interfaces and lines.

[0067] 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 the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation. 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.

[0068] 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.

[0069] If the modules / units integrated in the optimized control terminal device for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation are implemented as software functional units and sold or used as independent products, they 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, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), and software distribution media, etc.

[0070] 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.

[0071] 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.

[0072] 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 the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation, characterized in that: Includes the following steps: S1. Select key ecological niche indicators of the constructed wetland as investigation factors, and differentiate the investigation factors to form experimental systems with different ecological niches; introduce wastewater to be treated into the constructed wetland, control and monitor the constructed wetland according to the experimental system, and collect data on the relative abundance and / or absolute abundance of anaerobic ammonia-oxidizing bacteria; the key ecological niche indicators in S1 include: water pH, dissolved oxygen (DO) in the water, ammonium nitrogen concentration (AN) in the water, nitrite nitrogen concentration (NO2-N) in the water, nitrate nitrogen concentration (NO3-N) in the water, and corrected chemical oxygen demand (B-COD) in the water; The method for calculating the corrected chemical oxygen demand (B-COD) in water as described in S1 is as follows: the measured COD value is corrected based on the nitrite concentration in the water body, and the calculation formula is B-COD=x-1.14z, where x is the COD concentration of the water body in mg / L; and z is the nitrite concentration of the water body in mg / L. S1 specifies the differential settings for the evaluation factors, including: the dissolved oxygen (DO) in the constructed wetland water body is 1-2.5 mg / L, the water pH is 7.3-8.4, the ammonium nitrogen (AN) concentration in the constructed wetland is controlled at 10-200 mg / L, the nitrite nitrogen (NO2-N) concentration is controlled at 30-300 mg / L, the nitrate nitrogen (NO3-N) concentration is controlled at 20-120 mg / L, the corrected chemical oxygen demand (B-COD) is controlled at 25-200 mg / L, and the ratio of AN to NO2-N is maintained at 5%-100%, the ratio of B-COD to AN is maintained at 30%-400%, the ratio of NO2-N to NO3-N is maintained at 100%-300%, and the ratio of COD to NO3-N is maintained at 15%-40%. S2. Using the relative abundance and / or absolute abundance of the anaerobic ammonia oxidizing bacteria collected in S1 as the dependent variable and the key ecological niche index as the independent variable, a multiple linear model is used to fit the relative abundance and / or absolute abundance of the anaerobic ammonia oxidizing bacteria, thereby obtaining a prediction model for the relative abundance of anaerobic ammonia oxidizing bacteria and / or a prediction model for the absolute abundance of anaerobic ammonia oxidizing bacteria. S3. Using the relative abundance prediction model and / or absolute abundance prediction model of anaerobic ammonia oxidizing bacteria obtained in S2, predict the relative abundance and / or absolute abundance of anaerobic ammonia oxidizing bacteria in the constructed wetland, compare the prediction results with the control target, and optimize the enrichment control of anaerobic ammonia oxidizing bacteria in the constructed wetland based on the comparison results.

2. The optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation according to claim 1, characterized in that: The COD concentration of the water body described in S1 was determined by the potassium dichromate method.

3. The optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation according to claim 1, characterized in that: The concentration of nitrite in the water body described in S1 was determined by ion chromatography.

4. The optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation according to claim 1, characterized in that: The constructed wetland described in S1 is an upwelling horizontal subsurface flow constructed wetland with a designed water level height of less than or equal to 60 cm, or the oxygen content of the water at the bottom of the constructed wetland is not less than 0.5 mg / L.

5. The optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation according to claim 1, characterized in that: The pH level of the constructed wetland is linearly related to the dissolved oxygen (DO) content of the water, with the linear equation being: DO = -1.3837 × pH + 13.

36. The pH and / or dissolved oxygen content of the constructed wetland are regulated according to the linear equation.

6. The optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation according to claim 1, characterized in that: The relative abundance prediction model for anaerobic ammonia-oxidizing bacteria is as follows: Relative abundance = 72.9001 + 0.4084 × DO + (-6.4204) × pH + (-0.022) × AN + (-0.0285) × NO2-N + (-0.0602) × NO3-N + 0.0131 × B-COD, where the input values ​​of DO, AN, NO2-N, NO3-N, and B-COD are in mg / L.

7. The optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation according to claim 1, characterized in that: The absolute abundance prediction model for anaerobic ammonia-oxidizing bacteria is as follows: Absolute abundance = -4878056 + 19797121 × DO + 8538451 × pH + 157015 × AN + (-255475) × NO2-N + (-295679) × NO3-N + 95166 × B-COD, where the input values ​​of DO, AN, NO2-N, NO3-N, and B-COD are in mg / L.

8. A terminal device employing an optimized control method for the enrichment of anaerobic ammonia-oxidizing bacteria based on niche regulation, 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 1-7 when running the computer program.

9. 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 1-7.

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