900 results about "Total nitrogen" patented technology

The invention discloses a sewage plant total nitrogen concentration real-time prediction and process regulation and control method based on an optimization integration algorithm, and belongs to the technical field of environment monitoring and treatment. According to the method, sewage plant data are monitored and collected, a sliding window and a time sequence are combined to analyze and clean the data and reconstruct features, total nitrogen concentration strong correlation variables are screened, data quality is standardized and optimized, a plurality of machine learning algorithms are adopted to construct a prediction model, and an optimal model is optimized through cross validation and performance evaluation. The robustness is improved by global parameter adjustment in combination with optimization algorithms such as a particle swarm, process schemes such as aeration intensity and carbon source adding are generated through multi-objective optimization after containerization deployment, and a whole-process intelligent management and control system is constructed by integrating virtual verification, graded early warning and a self-adaptive feedback mechanism. According to the method, the problems of detection lag, insufficient model generalization ability, regulation response delay and the like of a traditional method are solved, and the operation energy consumption and the medicament cost are remarkably reduced while it is guaranteed that the effluent quality stably reaches the standard.

A watershed pollution control measures optimization method employing response surface methodology coupled with a genetic algorithm, the method relating to the cross-disciplinary field of environmental engineering, environmental system simulation and prediction technology, and computer technology. The present invention solves the problem of low optimization efficiency in existing optimization methods. The invention comprises: by using known data, establishing a geographic database for an area; by using the geographic database, calculating a single load of each pollution source, and accordingly calculating the load reduction amount of each pollution source in a single control measure scenario; calculating the total nitrogen pollution load reduction rate and the total phosphorus pollution load reduction rate, and computing the total economic benefit in the single control measure scenario; setting the maximization of the economic benefit, total nitrogen load reduction rate, and total phosphorus load reduction rate as objectives, and establishing a regression function by adopting response surface methodology; and by adopting an NSGA-II genetic algorithm, performing multi-objective optimization on the regression function, and selecting an optimal management measure for a watershed to undergo pollution control. The present invention is suitable for optimizing pollution control measures for a watershed.

The invention provides a sewage treatment carbon source intelligent adding method, which comprises the following steps: collecting multi-parameter feed-forward and feedback signals of water inlet and an anoxic tank, constructing a dynamic model containing feed-forward compensation, model prediction control and feedback compensation, calculating the theoretical adding amount of a carbon source, inputting a predicted value and feedback parameters into an LSTM network for correction, and optimizing a network structure by a genetic algorithm. The adding amount is controlled in a closed-loop mode through a variable frequency pump, the LSTM weight is updated on the basis that the error is larger than 5%, and finally a control strategy is optimized by using an NSGA-II algorithm and integrating carbon source consumption, effluent total nitrogen and energy consumption. The dynamic self-adaptive carbon source adding method is constructed by fusing feedforward perception, LSTM prediction, feedback regulation and multi-objective optimization, so that quick response and accurate control on water quality fluctuation are realized, the denitrification efficiency and the carbon source utilization rate are improved, and the method has excellent engineering adaptability and popularization value.

The invention provides a sewage treatment carbon source adding control method, and relates to the technical field of sewage treatment, and the method comprises the following steps: obtaining water inlet parameters of a water inlet end of sewage to be treated and process parameters of a treatment section, the water inlet parameters comprising chemical oxygen demand, total nitrogen, total phosphorus and flow; the process parameters comprise the phosphate concentration at the tail end of an anaerobic tank, the nitrate concentration at the tail end of an anoxic tank, and the total nitrogen and chemical oxygen demand of inlet water of a denitrification filter tank; dynamically calculating a predicted carbon-nitrogen ratio and a predicted carbon-phosphorus ratio in real time according to water inlet parameters and the process parameters; based on the predicted carbon-nitrogen ratio, the predicted carbon-phosphorus ratio and a preset effluent quality standard, a carbon source adding point and a first carbon source adding amount are determined, and the carbon source adding point comprises at least one of an anaerobic tank, an anoxic tank and a denitrification filter tank; according to the carbon source feeding point and the first carbon source feeding amount, the carbon source feeding device is controlled to execute corresponding feeding operation, through segmented feeding and closed-loop control, COD standard exceeding caused by excessive carbon sources is avoided, and secondary pollution is effectively inhibited.

The invention relates to the field of environment monitoring and ecological restoration, in particular to a farmland and river ecological collaborative monitoring and regulation system and method. The system comprises a first-stage barrage, a second-stage barrage, a gabion revetment, front-end acquisition equipment, execution equipment and a server, wherein the first-stage barrage and the second-stage barrage are arranged at intervals; the execution equipment comprises irrigation equipment, a first gate, a second gate and an ecological flocculant putting device; the server comprises a data acquisition module, a data storage module, an analysis processing module and a control execution module, inputs control parameters including a first gate opening degree, a second gate opening degree, an irrigation equipment electric valve opening degree and an ecological flocculant putting amount through an LSTM model, and predicts state variables including an upstream water level, a downstream flow, an irrigation water supply amount, a total phosphorus concentration and a total nitrogen concentration; and a multi-target optimization model including agricultural water demand, ecological flow, flood control safety and water quality purification targets is solved in combination with an optimization NSGA-II algorithm, target control parameters are acquired, and a control instruction is generated to drive execution equipment.

The invention discloses a lake and reservoir total phosphorus and total nitrogen concentration inversion method and system based on Sentinel-2 image data. The method comprises the following steps: S1, acquiring image data of a satellite Sentinel-2 sensor in a research area and extracting all wave band data; s2, constructing an inversion prediction model and performing model training by using the sample data set, wherein the inversion prediction model extracts and calculates a feature set required by total phosphorus prediction and a feature set required by total nitrogen prediction from all waveband data; s3, performing inversion operation on the basis of the feature set required by total phosphorus prediction by the inversion prediction model to obtain total phosphorus prediction concentration, and performing inversion operation on the basis of the feature set required by total nitrogen prediction by the inversion prediction model to obtain total nitrogen prediction concentration. According to the inversion prediction model, waveband data can be extracted from image data of a satellite Sentinel-2 sensor in a research area and subjected to inversion processing, and the total phosphorus prediction concentration and the total nitrogen prediction concentration of the large-area research area can be rapidly obtained.

The invention discloses a high-entropy oxide for synergic nitrogen removal and catalysis as well as a preparation method and application thereof, and belongs to the technical field of material preparation, the high-entropy oxide is a single solid solution phase formed by five or more metal elements of Fe, Co, Ni, Cu, Mn, Ti and Ce and an oxygen element, the configuration entropy of the high-entropy oxide is greater than or equal to 1.5 R, R is a gas constant, and R is an oxygen constant. The mole fraction of each metal element is 0.1-0.3, and the sum of the mole fractions of the metal elements is 1. According to the high-entropy oxide with the synergistic nitrogen removal and catalysis effects and the preparation method and application thereof, a synergistic catalysis system is constructed through the high-entropy oxide and silicon carbide, and the high-entropy oxide has the multiple advantages of being high in nitrogen removal efficiency, high in stability, simple in process, environmentally friendly and wide in application range; the removal rate of total nitrogen and key nitrogen pollutants can reach 90% or above in the seawater high-salt environment, and the environment-friendly emission requirement is met.

The invention relates to a method for treating nitrogen and phosphorus-containing cleaning wastewater, which comprises the following steps: adding residual activated sludge, activated carbon and a nitrogen and phosphorus removal bacterial agent into a treatment system, carrying out braising exposure treatment, and regularly adding an organic carbon source; the nitrogen and phosphorus removal bacterial agent at least contains microbacterium kitamiense (PR) and aeromicrobe (Aeromicrobe tamlense) (PW), and is characterized in that the nitrogen and phosphorus removal bacterial agent at least contains the microbacterium kitamiense (PR) and the aeromicrobe tamlense (PW); the preservation numbers of the strain are respectively CGMCC (China General Microbiological Culture Collection Center) No. 25182 and CGMCC No. Starting water feeding after braising exposure is finished, and continuously operating to treat the cleaning wastewater. According to the method, total nitrogen, total phosphorus and COD in the wastewater can be efficiently removed at the same time in one structure, the treatment burden of a subsequent biochemical unit is avoided, the process is simple, and the cost is low.

The invention discloses an aerobic granular sludge culture method based on a micro-nano aeration technology, and belongs to the technical field of water treatment. According to the invention, micro-nano aeration is used, so that the oxygen transfer rate in the aerobic granular sludge reactor is 2.1 times of that of a conventional aeration group, the generated hydroxyl radicals are 2.6 times of that of the conventional aeration group, the final removal efficiencies of ammonia nitrogen, total nitrogen and COD (Chemical Oxygen Demand) can respectively reach 98%, 85% and 97%, the denitrification performance is excellent, the treatment period is shortened by 1 hour, and the treatment cost is reduced. After the aeration time is shortened, 28% of aeration energy consumption is saved. Micro-nano aeration not only is beneficial to culture and domestication of aerobic granular sludge and promotes removal of pollutants, but also improves the energy utilization efficiency.

The invention provides a low-carbon circulating technological process for treating high-total-nitrogen wastewater. A main treatment unit and a resource recycling and circulating unit are included; the main treatment unit is characterized in that high-total-nitrogen wastewater sequentially passes through a pH regulating tank, a sulfur autotrophic denitrification tank, a biochemical system, a secondary sedimentation tank, a deep treatment line and ultrafiltration reverse osmosis, produced reclaimed water enters produced water for delivery, and a part of produced concentrated water enters a resource recovery and circulation unit; the resource recovery and circulation unit is characterized in that after concentrated water is treated by a vertical electrophoresis device, mixed acid, mixed alkali and low-salt water are separated out, the mixed alkali is sent to a sulfur autotrophic denitrification tank to be used for supplementing alkalinity consumption of the sulfur autotrophic denitrification system, and the mixed acid sequentially passes through an anaerobic regulating tank, an anaerobic reactor, an alkali washing tower, a biological desulfurization reactor and a sedimentation tank; the recovered sulfur can be sold as elemental sulfur or reused in the sulfur autotrophic denitrification tank, and supernate flows back to the alkaline tower; a green, low-carbon and recyclable water treatment process flow is realized.

The present application provides a control method for adding a carbon source to sewage treatment, which relates to the technical field of sewage treatment, comprising the following steps: obtaining water inlet parameters of the sewage to be treated and process parameters of the treatment section, the water inlet parameters including chemical oxygen demand, total nitrogen, total phosphorus and flow rate, and the process parameters including phosphate concentration at the end of the anaerobic tank, nitrate concentration at the end of the anoxic tank, total nitrogen and chemical oxygen demand of the denitrification filter inlet; dynamically calculating and predicting the carbon-nitrogen ratio and the carbon-phosphorus ratio in real time based on the water inlet parameters and the process parameters; determining a carbon source addition point and a first carbon source addition amount based on the predicted carbon-nitrogen ratio, the predicted carbon-phosphorus ratio and a preset effluent water quality standard, the carbon source addition point including at least one of the anaerobic tank, the anoxic tank and the denitrification filter; controlling a carbon source addition device to perform corresponding addition operations based on the carbon source addition point and the first carbon source addition amount, and avoiding excessive COD caused by excessive carbon source through segmented addition and closed-loop control, thereby effectively suppressing secondary pollution.

The invention discloses a regulation and control method and system for gradient resource utilization of rural domestic tail water, and the requirements of reuse water in different seasons are met through regulation and control, that is, the quality of outlet water in the irrigation season meets the farmland water quality standard, and the quality standard of miscellaneous use of tail water or ecological water supplement is met in the non-irrigation season. According to the method, the state of tail water is monitored in real time through a sensor matrix, meanwhile, organic matter (or chemical oxygen demand) and ammonia nitrogen, total nitrogen, total phosphorus and microorganism effluent quality requirements input by a user are obtained, and time sequence semantic features of the state of the tail water are mined by adopting a neural network technology based on deep learning; and carrying out conjoint analysis on organic matters, ammonia nitrogen, total nitrogen and total phosphorus effluent to obtain associated characterization of multi-aspect tail water treatment requirements.

The invention belongs to the technical field of sewage treatment, and particularly relates to an anaerobic ammonia oxidation-photoelectric denitrification deep nitrogen removal method. The method comprises the following steps: firstly, adopting a double-chamber reactor; introducing part of sewage into the cathode chamber, carrying out Anammox reaction under a dark state condition to remove ammonia nitrogen and part of nitrite nitrogen, and synchronously generating nitrate nitrogen; turning on a light source to irradiate the anode chamber, exciting photo-induced electrons by a photosensitizer, transmitting the photo-induced electrons to the cathode chamber through an external circuit, and driving the sulfur autotrophic denitrification sludge to reduce residual nitrite nitrogen and nitrate nitrogen generated by Anammox; the total nitrogen removal rate is close to 100%. According to the invention, photo-induced electrons are used as the only denitrification electron donor, so that the addition of a carbon source / sulfide is thoroughly avoided, and the risk of secondary pollution is eliminated. The method is suitable for green low-carbon deep treatment of sludge digestion liquid and pharmaceutical wastewater high-ammonia-nitrogen low-carbon-nitrogen-ratio sewage.

The invention discloses an efficient denitrification method and system for landfill leachate, and the method comprises the following steps: diluting waste molasses, and then adding a compound enzyme preparation containing cellulase, pectinase and alpha-amylase for enzymolysis pretreatment to obtain a pretreatment solution; inoculating the pretreatment liquid with a compound flora containing clostridium butyricum and succinic acid-producing anaerobic spirillum, carrying out anaerobic fermentation, and separating to obtain a liquid carbon source containing acetic acid and propionic acid and fermentation residues; mixing the fermentation residues with waste sugar residues, and performing pyrolysis to prepare biochar; and synchronously adding the liquid carbon source and the biochar into a denitrification reactor, and carrying out denitrification on the landfill leachate. The total nitrogen removal load of the landfill leachate denitrification system is increased by 60% compared with that of a single carbon source process, and the sugar manufacturing solid waste recycling rate gt is achieved; 95%. According to the method disclosed by the invention, the dual goals of efficient denitrification and solid waste recycling are achieved through cooperative treatment of the waste molasses and the waste sugar residues in the sugar manufacturing process.

The invention discloses a method for estimating total nitrogen of soil of different plough layers based on a field in-situ spectrum, and relates to the technical field of crop growth monitoring. Collecting soil samples of different plough layers in a field, and obtaining in-situ spectral data of soil; performing indoor analysis on the collected soil sample, and determining the total nitrogen content, the soil texture type and the porosity; classifying the soil samples according to the soil texture types, and respectively establishing correlation models between the total nitrogen contents of the soil with different textures and the in-situ spectral data; introducing a northern eagle optimization algorithm to improve a random forest and a generalized regression neural network to improve the prediction capability of the correlation model on the total nitrogen content of the deep soil; and constructing a comprehensive monitoring model by combining a surface spectrum inversion result and a soil vertical variation equation, so as to realize indirect high-precision estimation of the total nitrogen content of the soil in different plough layers. And a theoretical basis is provided for future soil total nitrogen deep monitoring model research, and a technical support and a theoretical decision are provided for rapid acquisition of deep soil nutrients in precision agriculture.

The invention relates to the field of wastewater treatment, and discloses a method for treating nitrogen-containing wastewater based on sulfur autotrophic DNRA and anaerobic ammonia oxidation, which comprises the following steps: firstly, introducing nitrogen-containing wastewater into an Anammox reactor, inoculating granular sludge taken from a secondary sedimentation tank of a sewage treatment plant into the Anammox reactor, carrying out anaerobic ammonia oxidation reaction, controlling hydraulic retention time, and carrying out anaerobic ammonia oxidation treatment on the sludge; the method comprises the following steps: pumping effluent and sulfur source inlet water into an sDNRA reactor together, inoculating ordered batch sDNRA sludge into the sDNRA reactor, performing DNRA action under sulfide driving in a stirring state, and controlling hydraulic retention time to realize automatic effluent. According to the method disclosed by the invention, a carbon source does not need to be added, byproducts generated along with complex carbon metabolism can be effectively reduced, the cost can be effectively reduced while secondary pollution is avoided, the total nitrogen removal rate of the system can be successfully improved, and the generation of greenhouse gas N2O is reduced.

The invention provides a rapid evaluation method and system for the soil fertility level, and relates to the technical field of soil fertility detection.The rapid evaluation method comprises the steps that an original absorbance spectral data curve is obtained by scanning a soil sample, the moisture peak absorbance, the actual peak position wavelength and the moisture synthetic frequency characteristic peak width are extracted, and a spectral data basis is provided; a water-salt optical path coupling factor is calculated, water-salt correction operation is carried out in combination with a volume correction coefficient, a virtual dry soil spectrum data curve is obtained, interference of salt on a water optical path is quantified, and a water background and salt masking are eliminated; constructing a characteristic virtual baseline of the organic matter and the total nitrogen, calculating an integral area to obtain characteristic intensity of the organic matter and the total nitrogen, and providing a physical input variable for quantitative inversion; introducing a water-salt optical path coupling factor to invert the organic matter content and the total nitrogen content, and correcting signal depression caused by salt stress; the effective fertility index is calculated and graded by combining the organic matter content and the total nitrogen content of the soil, and the actual fertilizer supply capacity of the soil is comprehensively evaluated.

The invention discloses an intelligent monitoring method and system for a composting process, relates to the technical field of composting, and aims to solve the problem that the fermentation effect of compost and the quality of a final product are affected due to hysteresis and inaccuracy of manual monitoring of the composting process. The method comprises the following steps: S1, data acquisition: acquiring key parameter data in a composting process, wherein the parameter data comprises temperature, humidity, pH value, oxygen concentration, organic carbon content, total nitrogen content and total phosphorus content; s2, data transmission: transmitting the key parameter data obtained in the step S1; and S3, data processing and analysis: receiving and storing the key parameter data in the step S2, processing and analyzing the received information, and calculating key indexes in the composting process, the key indexes including a compost maturity index and a compost efficiency index. The method has the advantages that the compost state can be accurately mastered, and the control strategy can be timely adjusted.

The invention discloses a method for enhancing nitrogen and phosphorus removal effects of a whole-course autotrophic nitrogen removal system, and belongs to the technical field of sewage treatment. According to the method, the steel slag powder and the steel slag particles are applied to a nitrification section and a sulfur autotrophic denitrification section respectively, alkalinity consumed by nitrification is supplemented by adding the steel slag powder in the nitrification section, enrichment of nitrifying bacteria is facilitated, metal ions leached from the steel slag powder improve the ammonia nitrogen removal rate, meanwhile, part of phosphate is removed, and the ammonia nitrogen removal rate is increased. The average removal rate of ammonia nitrogen is 99.75%, and the average removal rate of phosphate is 23.22%. According to the invention, the denitrification potential and denitrification effect of the sulfur autotrophic denitrification section are improved, and when the HRT is 3h, the average 97.04% of total nitrogen and the average 86.4% of total phosphorus can be removed; in the denitrification process, metal ions leached from the steel slag can generate precipitates with phosphate, and H < + > generated in the denitrification process can accelerate erosion of the steel slag, so that the phosphorus removal capacity of the steel slag is improved.

The invention discloses a sewage treatment total nitrogen prediction method based on a convolutional time sequence self-attention mechanism, and relates to a sewage treatment total nitrogen prediction model based on a convolutional neural network, a long-short term memory network, a multi-head self-attention mechanism and a PID search optimization algorithm. According to the model, the advantages of the convolutional neural network in feature extraction, the powerful capability of the long and short term memory network in time series data modeling and the unique advantages of the self-attention mechanism in inter-feature relevance modeling are comprehensively utilized, and global optimization is performed on the model through a PID search optimization algorithm, so that the prediction precision and stability are remarkably improved.

The invention provides a production process for reducing the nitrogen content in reagent-grade sulfuric acid, and relates to the technical field of sulfuric acid. Comprising the following steps: adding urea solid powder into sulfuric acid at 55-65 DEG C according to the mass ratio of urea to sulfuric acid of (0.001-0.01): 100, and stirring until the urea solid powder is completely dissolved; s100, heating the mixture in the step S100 to 83-87 DEG C in a gradient manner, adding ammonium sulfate powder according to the mass ratio of ammonium sulfate to sulfuric acid of (0.05-0.1): 100 in the heating process, and stirring to react for 0.8-1.2 hours; performing reduced pressure distillation on the sulfuric acid after the reaction in the step S200 at 80-150 DEG C, introducing inert gas in a synchronous pulse manner for purging in the heating process, repeating for 2-3 times, and collecting a main fraction; treating tail gas. According to the method, the total nitrogen content and the content of NH4 < + > ions and NO3 <-> ions in the reagent-grade sulfuric acid are effectively reduced, the electronic-grade sulfuric acid is obtained, and the yield of the sulfuric acid can reach 97.5%.

The invention relates to a vertical flow enhanced biological denitrification device and a sewage treatment method, a denitrification agent adding assembly is additionally arranged at a proper position of an existing vertical flow reaction device, namely the outer side of an outer inclined flow guide part, a corresponding enhanced denitrification agent can be added at a selected point position, a denitrification reaction is further enhanced, and the denitrification effect is improved. The selective reaction of the functional microorganism reaction is improved, nitrate generated by the anaerobic ammonia oxidation reaction is consumed, and a sufficient matrix is provided for anaerobic ammonia oxidation, so that the anaerobic ammonia oxidation reaction is greatly promoted, and the total nitrogen removal rate is further improved; by accurately controlling the dosing position and accurately dosing according to the reaction, the nitrogen removal efficiency of the autotroph is enhanced, the coordination of the minimization of the dosing amount of the medicament and the maximization of the nitrogen removal efficiency is realized, and finally, the green, low-carbon, economical and efficient nitrogen removal target of the sewage is achieved.

The invention belongs to the technical field of sewage treatment, and discloses a two-stage MABR-based efficient denitrification system, method and application, the system comprises an MABR-PN / DN reactor, an MABR-PN / A reactor, a peristaltic pump, an aeration hollow fiber membrane module, a carrier, an aeration pump, a gas flowmeter, a pressure gauge and a liquid flowmeter, and the MABR-PN / DN reactor and the MABR-PN / A reactor are arranged along the vertical direction. According to the system, the series design of the MABR-PN / DN and the MABR-PN / A is utilized, the adverse effect of organic matter in sewage on anaerobic ammonia oxidation treatment of high-concentration ammonia nitrogen wastewater is reduced, nitrate nitrogen generated by the MABR-PN / A flows back to the first-stage MABR-PN / DN to achieve denitrification, the denitrification limitation of a single reactor and a single denitrification path is broken through, and the overall total nitrogen removal rate of the system is higher than 90%.

The invention relates to an intelligent water affair data monitoring management method and system, and relates to the field of water affair management, and the method comprises the steps: carrying out the alignment optimization processing of historical and current total nitrogen significance distribution and historical and current total phosphorus significance distribution, and obtaining the position deviation distribution of total nitrogen and total phosphorus; according to the position deviation of a plurality of positions in the total nitrogen and total phosphorus position deviation distribution, calculating to obtain a pollution source moving step length; according to the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution, the nitrogen and phosphorus change amplitude is obtained through calculation, searching is conducted in combination with the pollution source moving step length, and a pollution source searching result is obtained. The technical problem of limited treatment and removal effects of nitrogen and phosphorus compounds in the printing and dyeing wastewater in the prior art can be solved, and the technical effect of improving the water affair treatment management efficiency of the printing and dyeing wastewater is achieved.

The invention relates to a lake sediment reduction bacterium which is classified and named as bacillus amyloliquefaciens WP02, the preservation number is CCTCC (China Center for Type Culture Collection) NO: M2020696, and the lake sediment reduction bacterium is preserved in the China Center for Type Culture Collection. The invention relates to an application of a lake sediment reduction bacterium in sediment denitrification, phosphorus uptake and quality degradation. The method has the beneficial effects that the immobilized microbial agent obtained by respectively embedding and adsorbing lake sediment reduction bacteria can effectively reduce sediment organic matters, reduce sediment total nitrogen and absorb phosphorus in overlying water, namely effectively perform denitrification, phosphorus absorption and quality degradation on the sediment, and the microbial agent can improve the oxidation reduction potential of the sediment and reduce the pollution of the sediment. And the method has important significance and application value in the aspect of maintaining the ecological balance of the water body, and has the characteristics of high in-situ remediation efficiency, small environmental disturbance and no secondary pollution compared with a physical and chemical remediation method.

The invention discloses a Fe / C loaded membrane module, a PN / A-MABR autotrophic nitrogen removal device, a preparation method and a sewage treatment method, and belongs to the technical field of sewage treatment. According to the invention, the problem that the treatment effect is influenced by NO3 <->-N accumulation in the existing membrane aeration coupling partial nitrification-anaerobic ammonia oxidation process is solved. Comprising a frame and a membrane body attached to the outer portion of the frame, the membrane body comprises a hydrophobic organic membrane layer, an iron-carbon material layer and a biological membrane layer which are sequentially arranged, and the hydrophobic organic membrane layer is attached to the outer portion of the frame. The iron-carbon material is added between the hydrophobic organic membrane layer and the biological membrane layer, the iron-carbon micro-electrolysis process is coupled with the dissimilatory process of nitrate generated by microbial metabolism, the removal of NO3 <->-N generated by anaerobic ammonia oxidation is enhanced, and the total nitrogen removal efficiency is improved.

The invention discloses a virulence factor gene relative abundance prediction model based on water quality physicochemical indexes, and relates to the technical field of ecological environment protection, and the virulence factor gene relative abundance prediction model comprises the following steps: taking a plurality of river water samples, obtaining virulence factor gene relative abundance of the river water samples, and obtaining water quality physicochemical index data of the river water samples; temperature, redox potential, ammonia nitrogen, nitrate nitrogen, nitrite nitrogen, total nitrogen, total dissolved solids, pH, conductivity, chlorophyll-a, chemical oxygen demand, dissolved oxygen, total organic carbon, total phosphorus, organic nitrogen, phosphate, carbon-nitrogen ratio and organic nitrogen / total nitrogen are taken as explanatory variables, and relative abundance of virulence factor genes is taken as a target variable. And establishing a regression model by adopting a GBM algorithm in an h2o packet in R software, and predicting the relative abundance of the virulence factor gene of the river water sample to be detected by utilizing the prediction model. The research provides a brand new method for predicting the relative abundance of the virulence factor gene and analyzing the environmental response of the virulence factor gene, and the method is suitable for identification and interpretation of a high-dimensional nonlinear ecosystem with complex interaction.

The invention discloses a regulation and control method for recarburization and nitrogen fixation of newly-reclaimed desertification saline-alkali soil, which is characterized in that the soil microenvironment is improved by combined application of bio-organic fertilizer / charcoal and attapulgite fertilizer, and nitrogen fixation of soil in a growth period and improvement of a soil structure are realized by mixed sowing of gramineous green manure crops and leguminous green manure crops. And after the growth period ends, returning the green manure to the field to realize soil recarburization. According to the recarburization and nitrogen fixation regulation and control method for the newly-reclaimed desertification saline-alkali wasteland, the soil nutrient and carbon reserve can be remarkably improved, and compared with other green manure crops or combinations, the total nitrogen and organic carbon of the soil are remarkably improved after the method is implemented. Therefore, the method has important significance on recarburization, nitrogen fixation and fertilization regulation and control of newly-reclaimed desertification saline-alkali soil, and can provide a development idea for efficient development and utilization of saline-alkali sand and guarantee of agricultural production safety.

The invention belongs to the technical field of sewage treatment, and discloses a data-driven sewage treatment carbon source addition model prediction control system and method. The control system is constructed on the basis of an M-DMCAN neural network, accurate prediction of the total nitrogen concentration of effluent is achieved through a double-branch structure of the M-DMCAN neural network, a prediction model is integrated into an MPC framework, a control law is solved through feedback correction and a gradient descent algorithm, and rolling optimization control over the carbon source dosage is achieved. The stability of the control system is proved based on the Lyapunov theory. Experiments are carried out on a BSM1 reference simulation platform and compared with PID control and nonlinear MPC, and results show that the control system has remarkable advantages in the aspects of controlling fluctuation of the total nitrogen concentration of effluent and reducing the adding amount of a carbon source, the sewage treatment efficiency and the carbon source utilization efficiency are effectively improved, the operation cost is reduced, the system stability and adaptability are enhanced, and the control system is suitable for large-scale popularization and application. The device is suitable for different water inlet working conditions, and an efficient and reliable solution is provided for sewage treatment carbon source feeding control.

The invention relates to the technical field of constructed wetlands, in particular to a constructed wetland iron-carbon-manganese composite filler capable of efficiently removing nitrogen and phosphorus. According to the filler, the manganese ore layer is arranged behind the iron-carbon micro-electrolysis layer, the microenvironment in the iron-carbon micro-electrolysis constructed wetland is adjusted through manganese ore, iron and manganese exist at the same time and can serve as electron donors for microbial denitrification, the effect is better than that of single use of iron, meanwhile, the oxidation capacity of high-valence manganese ions is utilized, and the denitrification efficiency is improved. The ammonia nitrogen in the iron oxide carbon wetland is inhibited or re-oxidized, so that the total nitrogen removal capability of the wetland is enhanced, and efficient nitrogen removal is realized; the manganese ore is large in specific surface area and can adsorb iron ions in water, iron and manganese separated out of the water are effectively removed, and the problem that the dissolution concentration of the iron ions is high is solved; phosphate radicals are adsorbed and removed mainly through ligand exchange with hydroxyl on the surface of manganese nodule, iron ions and ferrous ions dissolved out from the scrap iron are combined with influent phosphate to form precipitates such as iron phosphate, and a very good effect on removal of total phosphorus is achieved.