612 results about "Nitrate nitrogen" patented technology

The invention relates to the field of fertilizers, in particular to a macroelement water-soluble fertilizer and a preparation method thereof.The preparation method comprises the steps that a composite biochar material is prepared from biochar, loaded metal modified biochar and an iron metal material, and then the composite biochar material is compounded with tripotassium phosphate, monopotassium phosphate, disodium octoborate tetrahydrate, zinc sulfate monohydrate and the like; the finally prepared fertilizer can realize accurate fertilizer supply, the iron metal organic framework material efficiently converts nitrate nitrogen into ammonium nitrogen and cooperates with a large amount of trace elements such as tripotassium phosphate, the requirements of crops at all stages are met, nutrients in key periods are guaranteed, pores of the composite biochar material adsorb the nutrients, nutrient slow release is realized, root system interpenetration resistance is reduced, stress resistance is enhanced, and the yield of the crops is increased. The soil conditioner has the advantages of simple preparation process, reduction of growth hindrance, optimization of soil aggregates, increase of pores, reduction of volume weight, improvement of ventilation, water permeability and water and fertilizer retention capabilities, substantial agricultural economy energization, substantial yield increase of crops, and wide application prospects.

The invention provides a dynamic multi-objective optimization control method for a sewage treatment process based on probability and dimension joint prediction, and relates to the technical field of sewage treatment. Comprising the following steps: acquiring process data of a sewage treatment process, constructing an optimization objective function according to the predictor based on support vector regression and the process data; solving the objective function by using a dynamic multi-objective optimization algorithm and a fast elite multi-objective genetic algorithm based on probability and dimension joint prediction to obtain a group of Pareto optimal solutions; according to a group of Pareto optimal solutions, determining optimal set values of the dissolved oxygen concentration of the fifth zone and the nitrate nitrogen concentration of the second zone; and carrying out tracking control on the actual dissolved oxygen concentration of the fifth zone and the nitrate nitrogen concentration value of the second zone by utilizing a PID (Proportion Integration Differentiation) controller and the optimized set values of the dissolved oxygen concentration of the fifth zone and the nitrate nitrogen concentration of the second zone. The problem of low control accuracy of corresponding sewage treatment in the prior art is solved.

The invention relates to a Fenton-like functional filler which is prepared from 10-20% of iron particles coated with a carbonized film, 10-20% of aluminum sulfate modified straw, 20-30% of PBAT-coated calcium peroxide, 20-30% of diatomite and 10-30% of an adhesive. A processing method of a Fenton-like functional filler comprises the following steps: uniformly mixing iron particles coated with a carbonized film, aluminum sulfate modified straws, PBAT-coated calcium peroxide and diatomite, then adding an adhesive, mixing isocyanate serving as the adhesive with polyol according to a volume ratio of 1: 5, and continuously and uniformly mixing; then the mixed raw materials are injected into a mold coated with a release agent in advance, the mold temperature ranges from 40 DEG C to 60 DEG C, the foaming curing time ranges from 15 min to 20 min, and the Fenton-like functional filler can be obtained. The invention relates to an application of a Fenton-like functional filler in constructed wetlands. The method has the beneficial effects that the method is not influenced by temperature, and the removal effect of the constructed wetland on nitrate nitrogen and refractory COD (Chemical Oxygen Demand) can be obviously enhanced.

The invention discloses a preparation method of a polydopamine modified biochar loaded Fe-Cu sodium alginate microsphere, which comprises the following steps: preparing biochar, modifying the biochar by using polydopamine, then loading the polydopamine modified biochar by using Fe-Cu, and finally obtaining the polydopamine modified biochar loaded Fe-Cu sodium alginate microsphere. According to the preparation method, the sodium alginate microspheres with different particle sizes can be prepared, the prepared sodium alginate microspheres have the function of adsorbing ammonia nitrogen, nitrate nitrogen, chlorobenzene, phosphorus, chromium ions and lead ions, the sodium alginate microspheres are used as the inner core to prepare anaerobic ammonia oxidation granular sludge, large density and good morphological support are provided for sludge particles, the problem of sludge bulking is avoided, and the anaerobic ammonia oxidation granular sludge can be prepared by using the sodium alginate microspheres as the inner core. The sewage treatment agent has the advantages that the settling performance is improved, the adsorption capacity on organic matters, ammonia nitrogen and heavy metals is enhanced, the sewage treatment effect is improved, and meanwhile, the sewage treatment agent is a biodegradable material and does not cause secondary pollution in the use process.

The utility model provides a low-carbon high-efficiency biochemical system control system. The low-carbon high-efficiency biochemical system control system comprises an internal reflux control module, a carbon source adding module and a precise aeration module, the internal reflux control module is used for refluxing nitrate nitrogen required to be denitrified to the anoxic tank for denitrification; the carbon source adding module is used for giving the current required dosage through online nitrate nitrogen instruments arranged in an anoxic tank and an aeration tank according to dynamic nitrate nitrogen value comparison and variation trend comparison at the tail end of the anoxic tank; and the accurate aeration module reads the real-time numerical value of ammonia nitrogen at the tail end of the aeration tank, performs mean value calculation on the numerical value in each period, performs difference value calculation on the average value of ammonia nitrogen in the current period and the average value of ammonia nitrogen in the last period, and reaches the numerical value of dissolved oxygen through frequency adjustment of an aeration fan to run in a required operation interval. The control method of the low-carbon high-efficiency biochemical system aims to realize low-carbon high-efficiency accurate control of the biochemical system, aeration as required, addition of an external carbon source and control of internal reflux.

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 provides an event-triggered recursive fuzzy neural network multivariable control method based on correlation entropy. The method comprises the following steps: acquiring sewage treatment process data; constructing an initial fuzzy neural network through the sewage treatment process data; constructing an event trigger structure adjustment mechanism, and performing structure adjustment on the initial fuzzy neural network through the event trigger structure adjustment mechanism to obtain an optimized fuzzy neural network; performing parameter updating on the optimized fuzzy neural network through the correlation entropy to obtain an updated fuzzy neural network; verifying the updated fuzzy neural network through a Lyapunov function to obtain a recursive fuzzy neural network; and performing variable control on the sewage treatment process through the recursive fuzzy neural network. According to the method, the sewage treatment process is controlled through the recursive fuzzy neural network, the problem that dissolved oxygen and nitrate nitrogen are difficult to control is solved, and the control accuracy and efficiency are improved.

The invention discloses a novel application of bacillus subtilis WJL-2, and relates to the technical field of microorganisms. The invention discloses a novel application of bacillus subtilis WJL-2. The preservation number of the bacillus subtilis WJL-2 is GDMCC65111, and the preservation number of the bacillus subtilis WJL-2 is GDMCC65111. The new application specifically comprises the following steps: improving soil, regulating and controlling the content of total nitrogen and organic carbon in the soil, regulating and controlling the activity of amylase / urease / cellulase in the soil, regulating and controlling the content of ammonium nitrate nitrogen in the soil, regulating and controlling the mineralization rate of the soil, regulating and controlling the nitration rate of the soil and regulating and controlling the ammoniation rate of the soil. After the strain WJL-2 is inoculated into the soil, the total nitrogen and organic carbon content of the soil is reduced, and the C / N is reduced; the activity of soil amylase is reduced, and the activity of urease and cellulase is increased; the content of ammonium nitrogen in the soil is in a trend of firstly increasing and then decreasing, and the content of nitrate nitrogen is continuously increased; the mineralization rate of soil organic nitrogen is accelerated, the ammoniation rate is in a trend of increasing first and then decreasing, and the nitration rate is in a trend of decreasing first and then increasing.

In a cooperative optimal control system, firstly, two-level models are established to capture the dynamic features of different time-scale performance indices. Secondly, a data-driven assisted model based cooperative optimization algorithm is developed to optimize the two-level models, so that the optimal set-points of dissolved oxygen and nitrate nitrogen can be acquired. Thirdly, a predictive control strategy is designed to trace the obtained optimal set-points of dissolved oxygen and nitrate nitrogen. This proposed cooperative optimal control system can effectively deal with the difficulties of formulating the dynamic features and acquiring the optimal set-points.

According to the data-driven adaptive optimization control method for the aeration process of urban sewage treatment, accurate aeration of a plurality of aerobic zones in the aeration process of sewage treatment is controlled, and the aeration energy consumption is reduced while the quality of outlet water is stabilized. According to the invention, a cascade prediction model based on the fuzzy neural network is designed, the dynamic coupling relationship between adjacent aerobic zones is learned, and the nitrate nitrogen concentration in the sewage treatment aeration process, the operation index of each aerobic zone and the future value of the dissolved oxygen concentration are accurately predicted; a self-adaptive optimization controller is designed, and a self-adaptive weight is introduced to dynamically adjust aeration of each aerobic zone so as to coordinate ammonia nitrogen removal requirements and energy consumption optimization of each aerobic zone. Experimental results show that the method can accurately control the aeration of each aerobic zone in the sewage treatment aeration process, improves the effluent quality in the sewage treatment process, and reduces the aeration cost at the same time.

The present invention discloses a heterotrophic nitrifying Brevundimonas DB‑4 and its application, belonging to the field of microbial technology. The heterotrophic nitrifying Brevundimonas (Brevundimonas) DB‑4 was deposited in the General Microbiological Center of the China Microbiological Culture Collection Administration Committee on December 11, 2023, with a deposit number of CGMCC No.29279. The Brevundimonas DB‑4 provided by the present invention is derived from the decomposed matter of the mixed compost of bean cake and vegetable cypress, has a strong heterotrophic nitrification ability, can promote the conversion of ammonium nitrogen in the rhizosphere soil to nitrate nitrogen, and can effectively colonize in the soil, increase the nitrate nitrogen content in the soil and plants; at the same time, it has the ability to depotassium, thereby increasing the content of available potassium in the rhizosphere soil, can promote the improvement of crop quality, and can be widely used in the preparation of microbial fertilizers to improve the nitrogen conversion efficiency of fertilizers and reduce the application of chemical fertilizers.

The invention provides a full-spectrum water quality multi-parameter dynamic inversion method and a model construction method thereof, and belongs to the technical field of spectral analysis based on machine learning. By constructing a closed-loop optimization architecture of noise reduction, wavelength optimization, turbidity correction and adaptive modeling, high-precision detection of four water quality parameters of chemical oxygen demand, total organic carbon, total nitrogen and nitrate nitrogen is realized. According to the method, a variational mode decomposition and improved threshold translation invariant wavelet combined noise reduction algorithm is provided, a kurtosis-correlation coefficient dual index is adopted to screen noise components, a multi-translation average strategy is combined to suppress a pseudo-Gibbs phenomenon, and meanwhile, a global parameter collaborative tuning mechanism based on Bayesian optimization is designed; a cross-module hyper-parameter coupling space is established in the whole process of noise reduction, wavelength optimization, turbidity correction and modeling. Through a multi-dimensional feature enhancement mechanism, the model feature representation capability is improved by 35%, and an innovative solution is provided for multi-parameter online detection in a complex water quality scene.

The invention relates to a method for reducing nitrate nitrogen in wastewater into ammonia nitrogen by using a double-bacterium inoculant and application of the double-bacterium inoculant. The method comprises the following steps: respectively carrying out expanding culture, washing and resuspending on electron donating bacteria and dissimilatory nitrate reduction ammonium-producing bacteria, and then mixing in a co-culture medium for co-culture to form a double-bacteria microbial inoculum; the co-culture medium containing the double-bacterium agent is introduced into wastewater to be treated, and nitrate nitrogen in the wastewater is reduced into ammonia nitrogen in an anaerobic environment. According to the method, nitrate nitrogen in the wastewater can be reduced and converted into energy storage substances with high energy density, the problems of low utilization rate of ammonium nitrogen fertilizer and non-point source pollution can be solved, and the method has important value for nitrogen pollution control and agricultural green sustainable development.

The invention discloses a straw returning water-nitrogen synergistic method based on a biochemical inhibitor, and belongs to the technical field of agricultural resources and environments. The straw returning water-nitrogen synergistic method based on the biochemical inhibitor comprises the following steps that in an annona squamosa-soybean interplanting system, a water-nitrogen synergistic agent is added into an annona squamosa-soybean interplanting system; the nitrogen release and straw decomposition process is regulated and controlled through the synergistic effect of the biochemical inhibitor and water management, short-term crop requirements and long-term soil fertilization are both considered, and the water and nitrogen utilization efficiency is improved. According to the invention, a comprehensive strategy of'regulation and control of nitrogen release by a biochemical inhibitor and collaborative management of water and nitrogen 'is adopted. Release of nitrogen fertilizer is delayed through the urease inhibitor, straw decomposition and crop requirements are matched, and short-term nitrogen starvation of soybeans is avoided; generation of nitrate nitrogen is reduced through the nitrification inhibitor, nitrogen leaching and denitrification loss are reduced, and the nitrogen fertilizer utilization rate is increased; the irrigation amount is adjusted according to the straw decomposition stage and the crop growth stage, microbial decomposition is driven, and meanwhile the carbon conversion efficiency is improved.

The invention discloses a tubular dynamic membrane sulfur autotrophic denitrification device and method, the device comprises: a housing, which is composed of a middle cylindrical structure and two end hemispherical structures, the upper part of the cylindrical structure is provided with a purified water outlet, the lower part is provided with a backwashing port, and the top end of the hemispherical structure is respectively provided with a sewage inlet and a concentrated liquid outlet; the plurality of supporting bodies are arranged in parallel, each supporting body is composed of two layers of honeycomb-shaped PVC grids and a layer of polypropylene net, and the polypropylene net is clamped between the two layers of honeycomb-shaped PVC grids; the two splitter plates are fixed to the two ends of the supporting body respectively, and splitter holes corresponding to the supporting body are formed in the splitter plates; a large-aperture polypropylene net is used as a filtering support body, and powdered sulfur is used as a precoating agent, so that the problems of difficulty in powdered sulfur recovery and serious loss in the traditional sulfur autotrophic process are solved; meanwhile, sulfur powder with a certain particle size is used as a dynamic membrane reactor of a precoating agent, nitrate nitrogen can be efficiently removed, the effluent quality is improved, and meanwhile the dynamic membrane reactor has the advantages of being resistant to pollution and easy to clean.

The invention relates to the technical field of saline-alkali soil improvement, in particular to a compound conditioner for treating sulfate type saline-alkali soil and application of the compound conditioner. The compound conditioner is formed by compounding hydrotalcite, acidic zeolite and humic acid; wherein the hydrotalcite is nitrate intercalated MgAl-LDH or MgFe-LDH, and the molar ratio of divalent metal ions to trivalent metal ions of the hydrotalcite is (2: 1)-(4: 1); the acidic zeolite is clinoptilolite treated by a nitric acid solution; the humic acid is mineral source humic acid, and the purity of the humic acid is greater than 80%. The compound conditioner disclosed by the invention can mineralize Na < + > and SO4 < 2-> which are too high in content in saline-alkali soil, reduce the salt content and pH and prevent plants from osmotic stress and alkaline toxicity; the content of nitrate nitrogen and organic matters in soil is increased, and nutrient substances are provided for plants; the soil structure is improved, the water-retaining property and the air permeability are enhanced, the soil bulk density is reduced, and plant germination and root growth are facilitated.

The invention relates to the technical field of sewage treatment, in particular to a multi-point water inlet intelligent control method and system based on an A-AAO sewage treatment process. The inlet water carbon-nitrogen ratio is input into a feedforward control module, and basic flow distribution weights leading to water inlet pipelines of the pre-anoxic zone, the anaerobic zone and the anoxic zone are generated based on the numerical range of the inlet water carbon-nitrogen ratio; inputting the ORP value of the pre-anoxic zone, the ORP value of the anaerobic zone, the ORP value of the anoxic zone and the effluent nitrate nitrogen concentration parameter into a feedback control module, and generating a correction factor for distributing the weight to the inlet water of each zone and a mixed liquid reflux ratio adjusting instruction; the basic flow distribution weight and the correction factor are fused, and after normalization processing and proportion range constraint are carried out, a final water inlet flow distribution instruction is generated; according to the method, the overall nitrogen and phosphorus removal effect can be improved, the inflow load fluctuation resistance of the system is enhanced, and stable and efficient operation is achieved.

The invention belongs to the technical field of artificial wetland regenerated water treatment, and particularly relates to an enhanced removal method for nitrate nitrogen and organic matters in an artificial wetland regenerated water source. According to the method, glucose, manganese ions and copper ions are added into a regenerated water source, heterotrophic bacteria are enriched in a constructed wetland packed bed, metal ions are loaded in the constructed wetland packed bed, extracellular active enzymes are generated through stress reaction of the heterotrophic bacteria to the metal ions, and then the enzymolysis process of humus organic matters difficult to biodegrade is achieved. The biodegradability of the recycled water is improved, and finally, the removal process of nitrate nitrogen and organic matters is enhanced.

An ecological combined constructed wetland system for rare earth mine tail water treatment is characterized in that a downward vertical flow wetland and an upward vertical flow wetland of a three-stage combined wetland system are communicated through a bottom communicating pipe, and the upward vertical flow wetland and a floating island wetland are communicated through an upper overflow weir; the tail water treated by the sewage adjusting tank sequentially flows through the downward vertical flow wetland, the upward vertical flow wetland and the floating island wetland; each of the downward vertical flow wetland and the upward vertical flow wetland comprises a filler layer with a three-layer structure, and the upper layer is a plant substrate layer and is composed of fine sand or sandy loam; the middle layer is a functional material layer and is composed of hematite, zeolite or activated carbon; the lower layer is a supporting layer and is composed of coarse sand or gravel; and the aquatic plants of the floating island wetland adsorb pollutants in the water body through root systems, and decompose residual pollutants by utilizing the metabolism of the plants. The tail water treatment device can efficiently remove particular pollutants such as ammonia nitrogen, nitrate nitrogen, heavy metals and rare earth elements in the tail water of the rare earth mine.

The denitrification filter tank comprises a tank body and sulfur autotrophic denitrification filler, a blending area and a filler area which are communicated with each other are arranged in the tank body, and the blending area and the filler area are sequentially distributed in the length direction or the width direction of the tank body; the blending area is provided with a water inlet; the filler area is provided with a water outlet; sewage to be treated flows in from the water inlet, sequentially passes through the blending area and the filler area and flows out of the tank body from the water outlet; the sulfur autotrophic denitrification filler is arranged in the filler area and is used for performing sulfur autotrophic denitrification treatment on the flowing sewage. When sewage flows through the sulfur autotrophic denitrification filler, nitrate nitrogen in the sewage is converted into nitrogen through the denitrification effect of sulfur autotrophic denitrification microorganisms and by taking sulfur or reduced sulfide as an electron donor, so that the denitrification treatment of the sewage is realized, the removal efficiency is high, an organic carbon source does not need to be added, and the operation cost is low.

The invention belongs to the technical field of biological fertilizers, and particularly provides a carbon sequestration and nitrogen conservation biological organic fertilizer and a preparation method thereof.Molybdenum, copper, cobalt and composite flora are loaded on biomass charcoal to prepare load type biomass charcoal; and jointly preparing the supported biomass charcoal, the perilla biomass extracting solution and animal waste into the biological organic fertilizer. According to the biological organic fertilizer provided by the invention, unnecessary waste of strain resources can be avoided, and the organic fertilizer can remarkably promote the immobilization effect of soil on ammonium nitrogen and nitrate nitrogen; the compound bacteria liquid promotes decomposition of organic matters and effectiveness of nutrients, and promotes improvement of soil, so that improvement of soil productivity is facilitated; meanwhile, the organic fertilizer can obviously improve the enzyme activity of the soil and promote the improvement of the fertility of the soil, so that the effect of conditioning the soil is finally realized.

The invention relates to the field of water-soluble fertilizers special for sweet cherries, and discloses a water-soluble fertilizer special for sweet cherries and a preparation and application method thereof.The water-soluble fertilizer special for sweet cherries comprises a drip irrigation fertilizer barrel A, a drip irrigation fertilizer barrel B, a drip irrigation fertilizer barrel C and a drip irrigation fertilizer barrel D, the drip irrigation fertilizer barrel C takes glycine, glutamic acid and glucose as cores to chelate metal ions; the fertilizer barrel A contains fulvic acid, nitrate nitrogen, potassium, molybdenum, zinc and a chelated iron element; the fertilizer barrel B contains ammonium polyphosphate, ammonium nitrogen, phosphorus, sulfur, manganese, boron and magnesium elements; the fertilizer C barrel comprises glycine, glutamic acid, glucose, amide nitrogen, nitrate nitrogen, calcium and copper. Compared with the prior art, the special water-soluble fertilizer disclosed by the invention has the advantages that formula design can be systematically and accurately carried out according to the growth cycle characteristics of the large cherries, and meanwhile, the problem of element antagonism is effectively solved.

The invention relates to an agricultural non-point source polluted soil nitrate nitrogen in-situ monitoring system and method, and aims to solve the technical problem that accurate in-situ monitoring of soil leaching nitrate nitrogen and a migration rule is difficult to realize. Wherein the soil leaching solution extraction device comprises moisture sensors buried in different soil depths, a leaching solution extraction probe, a solution storage container and a negative pressure source, and the detection device comprises at least two groups of micro-flow pool channels connected in parallel and a photoelectric detection path corresponding to nitrate nitrogen ultraviolet light absorption and non-absorption wavebands; the liquid pumping pipeline is respectively communicated with the liquid storage container and the micro-flow pool channel; the control module receives information collected by the moisture sensor and determines whether to send a negative pressure source starting instruction or not after comparing the information with a set value, a negative pressure cavity is formed in the leaching solution extraction probe, and soil leaching solution collection is achieved. The in-situ monitoring of the leaching nitrate nitrogen can be realized without disturbing the soil structure; the result is continuous, accurate and reliable, and a reliable way is provided for obtaining accurate data information related to agricultural non-point source pollution distribution, migration, development trend and the like.

The invention provides a sewage treatment process adaptive neural network control method with time-varying asymmetric constraints, is used for a sewage treatment process with unknown parameters, and belongs to the technical field of urban sewage treatment process intelligent control. A controller is designed by adopting a self-adaptive control method, and the concentration of dissolved oxygen and the concentration of nitrate nitrogen in the sewage treatment process are accurately controlled. Firstly, due to the fact that the fuzzy neural network has excellent robustness, unknown dynamics appearing in a sewage treatment plant can be effectively approached. Secondly, control input is designed by constructing a time-varying asymmetric obstacle type Lyapunov function, and a fault-tolerant control method is designed in consideration of an actuator fault condition. And finally, performing a simulation experiment by using the reference simulation model 1, and verifying the effectiveness of the proposed method by a simulation result.

The invention discloses modified biochar for preventing and controlling soil nitrogen loss and a preparation method thereof, and the preparation method comprises the following steps: 1) adding a FeSO4 solution into biochar; 2) adding dilute sulphuric acid into the mixed solution obtained in the step 1), and uniformly mixing; (3) oscillating and heating the mixed solution treated in the step (2); 4) centrifuging the mixed solution treated in the step 3), and repeatedly washing the precipitate with deionized water; and (5) putting the centrifuged precipitate obtained in the step (4) into an electrothermal blowing drying box, and drying at 105 DEG C until the weight is constant. According to the invention, after the ferrous modified biochar is applied to soil, the pH value, EC value and CEC value of the soil are increased, the volume weight (VW) of the soil is reduced, and the contents of carbon, nitrogen and phosphorus nutrients in the soil are increased. According to the method disclosed by the invention, the leaching loss of nitrate nitrogen and ammonium nitrogen in the soil is remarkably inhibited by adding the modified biochar. The method has the advantages of easily available raw materials, no pollution, low treatment cost, convenient operation, large-scale application, high economy, and suitableness for popularization and application in the industry.

The invention relates to the technical field of microorganisms, in particular to a low-temperature-resistant denitrification strain and application thereof in a recirculating aquaculture system. The nitrogen removal bacterial strain is halomonas piezotolans YX98, and the preservation number of the halomonas piezotolans YX98 is CCTCC (China Center for Type Culture Collection) NO: M 20242820. The strain YX98 has an efficient denitrification function and also has the characteristics of low temperature resistance and halophile. The strain is inoculated into simulated wastewater with the temperature of 15 DEG C and the salinity of 20% o, and the degradation rates of ammonia nitrogen, nitrite nitrogen and nitrate nitrogen are as high as 96.15%, 98.20% and 99.99% respectively; when the strain is applied to a salmon and trout circulating mariculture system as a low-temperature fungicide, the NH4 < + >-N and NO2 <->-N degradation function of a moving bed bio-membrane reactor can be enhanced, so that the duration of a function starting period is shortened by 43.75%, and the duration of a function stable period is shortened by 26.32%.

The invention discloses a bacterial strain for reducing dissimilatory nitrate into ammonia nitrogen through anaerobic biodegradation of polycyclic aromatic hydrocarbon and application of the bacterial strain, the bacterial strain is named as PheICNA, and the bacterial strain belongs to Intraporum calvum. The strain is preserved in the China General Microbiological Culture Collection Center (CGMCC), and the preservation number is CGMCC No.40686. The strain can degrade polycyclic aromatic hydrocarbons such as phenanthrene under anaerobic conditions and completely metabolize the polycyclic aromatic hydrocarbons into carbon dioxide. Meanwhile, nitrate radicals are reduced into ammonium nitrogen, and the generated ammonium nitrogen can be used for growth of microorganisms and can be used as a nitrogen source for plants. The strain can be used for biologically repairing polycyclic aromatic hydrocarbon pollutants such as phenanthrene in soil, can convert nitrate nitrogen in the soil into ammoniacal nitrogen at the same time, achieves the effect of nitrogen maintenance, and has good application prospects in the aspects of polluted soil treatment and the like.

The invention discloses a sea-land interaction zone underground water pollution source tracing method based on multi-pollutant fingerprints, and the method comprises the steps: constructing a fingerprint feature library of eight key pollutants including cadmium, arsenic, nitrate nitrogen, ammonium nitrogen, phosphate, total petroleum hydrocarbon, sulfamethoxazole, pH value and the like; statistical characteristic models of four pollution sources of industrial emission, agricultural non-point sources, oil exploitation and aquaculture are established, Z-Score standardization and a similarity calculation method based on a standard normal distribution probability density function are adopted, comprehensive similarity evaluation is performed in combination with a risk weight distribution mechanism, a similarity threshold value of 0.7 is set to perform pollution source identification and sorting, and the pollution sources are identified and sorted according to the similarity threshold value. And correction is performed by considering environmental factors such as tide, season and geology of a sea-land interaction zone. The method can quickly and accurately recognize the groundwater pollution source of the sea-land interaction zone, the traceability accuracy rate reaches 80% or above, and scientific and technical support is provided for prevention and control of groundwater pollution of the sea-land interaction zone and formulation of an environmental protection policy.

The invention relates to the technical field of agricultural fertilizers, in particular to an enzymolysis fish protein type amino acid-containing water-soluble fertilizer and a preparation method thereof, the fertilizer is prepared from 50-70% of enzymolysis fish protein stock solution and other components; the stock solution is prepared by pulping aquatic product processing leftovers, adjusting the pH value to 6.5-7.5, adding specific compound protease for enzymolysis, and performing enzyme deactivation and centrifugation; the macroelement liquid contains nitrate nitrogen and ammonium nitrogen (2: 1-4: 1), and the microelement chelating agent is prepared by reacting a stock solution small molecule peptide with a specific salt. The fish protein enzymolysis stock solution is prepared from aquatic product processing leftovers, high-proportion small molecule peptide and amino acid are obtained through specific enzymolysis and other processes, and by matching with high-content macroelements in a specific nitrogen form, nutrition can be rapidly supplemented, and crop photosynthesis and dry matter accumulation can be improved; and moreover, all the components cooperate to regulate the growth of the crops and improve the stress resistance, and the surfactant also improves the utilization rate of the fertilizer and reduces waste.

The invention relates to a sulfur autotrophic denitrification expanded bed and a sewage deep denitrification method thereof, and belongs to the technical field of sewage deep treatment.The sulfur autotrophic denitrification expanded bed comprises a water inlet device, a backflow device water inlet, a backflow device water outlet, a first sampling port, a second sampling port and a water drainage port, and a pebble bed, a filler layer and a clear water layer are arranged in the device from bottom to top; according to the technical scheme, a reinforced filler is loaded through a layered double hydroxide-bentonite composite material, and is combined with hydroxyl polyethylene glycol sulfydryl after being coated with elemental sulfur, so that the modified denitrification filler is obtained; the sulfur autotrophic denitrification expanded bed is filled with the modified denitrification filler, and the change of the expansion rate is realized by optimizing the particle size of the filler and controlling the reflux ratio, which reflects that the filler with smaller particle size can effectively increase the denitrification rate and improve the denitrification efficiency; through the expanded bed process, the removal effect on nitrate nitrogen, ammonia nitrogen and total phosphorus in sewage can be better enhanced, and the denitrification performance of the sulfur autotrophic denitrification expanded bed is improved.