147 results about "Phosphorus concentration" patented technology

The invention relates to the technical field of water environment treatment, in particular to a water environment ecological treatment method and system based on a constructed wetland, and the method comprises the following steps: measuring the dissolved oxygen concentration, ammonia nitrogen concentration, total phosphorus concentration, water temperature and pH value of a root zone in the constructed wetland, and calculating the pollutant concentration distribution value and plant root system distribution density of each monitoring point; and obtaining a water quality root distribution characterization value. In an artificial wetland environment, the concentration of dissolved oxygen, the concentration of ammonia nitrogen, the concentration of total phosphorus, the water temperature and the pH value of a root zone are measured, the concentration distribution of pollutants is calculated, numerical calculation is carried out in combination with the distribution density of plant root systems, water quality root system distribution characterization is constructed, spatial heterogeneity analysis of wetland water quality is enhanced, and the targeting of pollutant degradation is optimized. Based on water quality root system distribution characterization, plant growth cycle parameters are calculated in combination with water quality parameters, association between water quality dynamic changes and plant growth states is constructed, and the adaptability of wetland ecological regulation and control is improved.

The invention discloses a sewage treatment method, system and device based on a neural network model and a medium, and relates to the technical field of sewage treatment.By monitoring water quality parameters such as inflow total phosphorus concentration in real time, neural network model input data are preset to always reflect the current actual working condition instead of prediction based on outdated or fixed data, and the accuracy of sewage treatment is improved. The timeliness and accuracy of dosing amount prediction are ensured, and the hysteresis of traditional off-line detection is eliminated to realize real-time regulation and control. A plurality of treatment schemes are obtained by generating different combinations of dissolved gas amount and hydraulic retention time, each treatment scheme corresponds to different minimum dosage, and on the premise of ensuring that the sewage treatment effect meets the effluent total phosphorus concentration limit value, the treatment scheme corresponding to the minimum sewage treatment cost is taken as a target scheme, so that the sewage treatment efficiency is improved. According to the decision-making mode based on cost optimization, the most economical operation scheme can be selected from a plurality of feasible schemes, so that the sewage treatment cost is effectively reduced on the premise that the total phosphorus concentration requirement of effluent is met.

The invention discloses a special phosphorus removal agent for deep phosphorus removal and a preparation method and application thereof, and relates to the field of phosphorus removal agents and preparation methods thereof.The phosphorus removal agent is prepared from a porous precursor, an activating agent and a dispersing agent, and the porous precursor comprises at least one of aluminum oxide, iron oxide, calcium oxide and magnesium oxide; the activating agent comprises at least one of lanthanum salt, cerium salt, zircon salt, magnesium salt and ferric salt. By optimizing the composition of the porous precursor and activating treatment, the phosphorus adsorption capacity is remarkably improved, the phosphorus removal agent also plays a role in micro-flocculation in the process of mixed adsorption with sewage, a wet adding mode is adopted, the adding amount can be flexibly adjusted according to the phosphorus concentration condition of inlet water and outlet water, and the phosphorus removal efficiency is improved. The phosphorus removal agent can reduce the total phosphorus concentration in tail water of a sewage treatment plant to 0.5 mg / L or below.

The invention discloses a real-time measurement method and device for total phosphorus flux in water, and relates to the technical field of water quality monitoring, and the method comprises the following steps: S1, arranging a radar wave current meter on a monitoring section, and obtaining real-time flow data; s2, installing a multi-parameter water quality sensor array to obtain conventional water quality index data; s3, establishing a multi-parameter coupled long short-term memory (LSTM) network inversion model, and inverting total phosphorus concentration data; s4, calculating the total phosphorus flux in real time according to a flux calculation method, uploading the total phosphorus flux to a cloud platform, and enabling the relative error between inversion data and real data to be smaller than 15% of a sensor, thereby proving that the inversion method of the scheme has very high precision, and because the error range of the inversion data is relatively small, the reliability of the inversion method is relatively high; according to the method, the inversion data can be more reliable, so that a more accurate and scientific decision can be made, the inversion data can more accurately reflect the actual total phosphorus concentration condition due to the high precision, and reliable data support is provided for water quality monitoring and management.

The invention discloses a pond multi-objective optimization management method oriented to agricultural watershed non-point source pollution regulation and control, and relates to the technical field of agricultural watershed non-point source pollution abatement. Multi-dimensional attributes such as pond application types, morphological characteristics and sediment nutrient states are integrated into a unified quantitative framework for the first time, and a generalized additive model is constructed to obtain a multi-objective optimization model; nonlinearity and interaction of pond attributes on river water quality influence can be accurately captured, and the accuracy of river nitrogen and phosphorus concentration prediction is improved. According to the method, pond management measures are quantified into controllable decision variables, a multi-target dynamic optimization model for balancing environmental benefits and economic benefits is established, a Pareto optimal solution is used for replacing a traditional experience decision, a scientific, efficient and quantitatively-implemented pond management scheme is provided, the one-sidedness of a single target is avoided, and the method is suitable for large-scale popularization and application. The cost minimization is realized while the non-point source pollution reduction is maximized, and the accurate configuration and scientific quantitative decision of pond management resources are realized.

The invention provides an organophosphorus mineralization composite flora with wide pH (potential of hydrogen) adaptability and application of the organophosphorus mineralization composite flora. The organophosphorus mineralization composite flora comprises subterranean bacillus subterraneus, stenotrophomonas sp and Cupriavidus sp. The organophosphorus mineralization composite flora has the advantages that the organophosphorus mineralization composite flora has wide pH adaptability, and the organophosphorus mineralization composite flora comprises the subterranean bacillus subterraneus, the stenotrophomonas sp. And the Cupriavidus sp. The organophosphorus mineralization composite flora provided by the invention can be widely used in acid-base environments; wherein the capacity of the phosphatase secreted by the three bacteria is not interfered by the external phosphorus concentration, and the phosphatase is constitutive phosphatase, so that a large amount of phosphatase can be secreted no matter which phosphorus concentration is high or low. The organophosphorus mineralization composite flora remarkably promotes mineralization of organophosphorus and release of phosphorus in the organic fertilizer, improves the nutrient efficiency of the organic fertilizer, and can play a role in mineralizing organophosphorus in both acid soil and alkaline soil.

The invention discloses a regulation and control method for preventing nitrogen and phosphorus loss of saline-alkali farmland drainage, and particularly relates to the technical field of agricultural environment protection and water and fertilizer management. Establishing a three-dimensional drainage path initial model, and calculating a drainage easy flow intensity coefficient according to the gradient and sodium saturation joint index of each micro-unit; further monitoring the change rate of nitrogen and phosphorus concentration in different areas through experimental nitrogen and phosphorus tracking irrigation to obtain a nitrogen and phosphorus migration sensitivity parameter; and performing weighted combination on the drainage easy flow intensity coefficient and the nitrogen and phosphorus migration sensitivity parameter, constructing a nitrogen and phosphorus loss risk index, forming a saline-alkali farmland nitrogen and phosphorus loss risk hot area distribution map, taking an area with the identified risk index exceeding a preset threshold value as a target area needing regulation and control, and implementing differential regulation and control measures in the target area to obtain a saline-alkali farmland nitrogen and phosphorus loss risk hot area distribution map. The method can realize accurate identification and dynamic regulation and control of the nitrogen and phosphorus loss of the saline-alkali farmland, improves the utilization efficiency of the fertilizer, reduces the risk of agricultural non-point source pollution, and has relatively strong popularization significance.

The invention relates to the technical field of gene engineering, in particular to a plant low-phosphorus-resistant important gene GsMYB10 and application thereof. Researches show that the expression of the GsMYB10 gene is induced to be up-regulated under the stress of low phosphorus, and under different phosphorus concentration treatment conditions, the over-expression of the GsMYB10 can obviously increase the biomass of a transgenic plant, so that the plant growth is promoted under the low-phosphorus condition; meanwhile, overexpression of GsMYB10 can improve the tolerance of plants to low-phosphorus stress, and reduce the inhibition effect of low phosphorus on plant root growth.

The invention discloses a river total phosphorus concentration prediction method based on an XGBOOST model. The method comprises the following steps: obtaining river basin water quality data provided by an online water quality monitoring station; preprocessing the water quality data of the river basin; constructing a data set; performing total phosphorus concentration prediction by using an XGBoost regression model; basic parameters of the prediction model are initialized and trained, and SHAP analysis is introduced; and inputting real-time data to be measured into the trained prediction model, and outputting a prediction result. The system comprises a data set construction module, a model construction module, a model training module and a model application module. By using the method, high-precision prediction of the total phosphorus concentration of the river basin is realized. The method can be widely applied to the field of water quality monitoring.

The invention belongs to the technical field of salt-tolerant growth-promoting bacteria, and particularly relates to a strain of Priestia aryabhattai PYJ2-8, a microbial inoculum, a preparation method and application of the strain of Priestia aryabhattai PYJ2-8. The invention provides a strain of P.adami PYJ2-8, and the preservation number of the P.adami PYJ2-8 is CGMCC (China General Microbiological Culture Collection Center) No.33769. According to the present invention, the Pristeria aryabhattai PYJ2-8 is the salt-tolerant growth promoting bacterium, can produce IAA, can decompose insoluble phosphorus, can improve the concentration of soluble phosphorus, and can increase the content of available phosphorus in soil; the utilization rate of the fertilizer can be increased, the growth and development and root development of plants can be promoted, and meanwhile, the potential capability of improving saline-alkali soil is also achieved.

The invention relates to the technical field of plant genetic engineering, and discloses application of a soybean low-phosphorus-tolerant gene GmPP2-10 in promoting growth of plants in a low-phosphorus stress environment. Researches show that the expression of the GmPP2-10 gene is increased under the induction of low phosphorus stress, and under different phosphorus concentration treatment conditions, the over-expression of the GmPP2-10 can increase the biomass of a transgenic plant and promote the growth of the plant under the low phosphorus condition; meanwhile, overexpression of GmPP2-10 can improve the tolerance of plants to low-phosphorus stress, and reduce the inhibition effect of low phosphorus on plant root growth. Therefore, the GmPP2-10 plays an important role in adapting to the low-phosphorus stress of the plant, and the adaptive capacity of the plant to the low-phosphorus stress of the acid soil can be improved by transferring the GmPP2-10 into the plant through a transgenic technology.

The present application belongs to the technical field of sewage treatment, and discloses an energy-saving and consumption-reducing precise dosing control method for urban sewage treatment facilities. The method comprises the following steps: setting a predetermined total phosphorus concentration of the sewage treatment module in the data module as a reference for subsequent dosing control and effluent quality judgment; collecting the inflow flow and the inflow total phosphorus concentration of the sewage treatment module by the data module; determining the detection phosphorus reduction dosing amount of the dosing module according to the predetermined total phosphorus concentration, the inflow flow and the inflow total phosphorus concentration; converting the orthophosphate concentration into the total phosphorus concentration by installing an orthophosphate detection unit at the inflow end of the high-efficiency sedimentation tank and combining the experience coefficient obtained through historical data analysis, so as to calculate the dosing amount; and avoiding the dependence of the traditional system on the expensive and frequently-maintained total phosphorus online detector, thereby significantly reducing the system deployment cost and operation and maintenance difficulty.

The invention relates to application and a method of phosphorus adsorption resin for selectively adsorbing phosphorus from phosphorus-containing wastewater. The phosphorus adsorption resin comprises weak acid cation exchange resin and Fe < 3 + > loaded on the surface of the weak acid cation exchange resin; the pH value of the phosphorus-containing wastewater is 0.8-3.0, the phosphorus concentration is 0.1-5 g / L, and the wastewater further contains 0.1-1 g / L of Ca; the phosphorus adsorption resin is prepared by the following steps: i) carrying out contact reaction on weak acid cation exchange resin and a ferric salt solution, wherein the ferric salt is selected from one or more of ferric sulfate, ferric chloride, ferric nitrate, ferric citrate and ferric tartrate; and ii) after the reaction is completed, carrying out solid-liquid separation to obtain the Fe < 3 + >-loaded phosphorus adsorption resin. According to the method, high-selectivity adsorption (larger than or equal to 95%) of phosphorus can be achieved, the phosphorus and calcium separation effect is good, the iron-calcium ratio in the phosphorus-enriched strip liquor is larger than or equal to 800, and the method can be used for preparing battery-grade iron phosphate.

The invention discloses a water plant inlet water quality change identification method and system, and the method comprises the steps: collecting water plant inlet water turbidity, pH value, dissolved oxygen content, COD concentration, ammonia nitrogen concentration, total phosphorus concentration and other parameters, removing abnormal values, and constructing a water quality parameter time sequence data set; causal association among parameters is mined through a causal inference-based hybrid model, a weight matrix is generated, after the matrix and time sequence data are fused, bidirectional time features are extracted through a bidirectional long-short-term memory network in combination with an attention mechanism, attention weights are given, and then a gradient elevator integrated model is input; a plurality of base learners are used for parallel learning and dynamic weighted fusion of local results to obtain a preliminary recognition result, and finally the preliminary recognition result is mapped to a water quality change type space to determine a change type. The system comprises six units, a complete and efficient treatment flow is formed from water quality parameter collection to final recognition result output, and the actual requirements of a water plant for high-precision and high-reliability recognition of inflow water quality changes are practically met.

The invention discloses a lake water quality prediction method and system based on a hybrid neural network, and a computer readable storage medium, and belongs to the field of environmental science engineering and deep learning. The method comprises the following steps: screening original water quality data, removing abnormal values, performing linear interpolation, dividing a training set and a test set, decomposing a sequence by using VMD, optimizing VMD parameters by using PSO, reconstructing a new sequence with noise removed, and finally performing prediction by using LSTM-KAN. Through verification of total phosphorus concentration data of four sections of the Dian Lake, comparison with LSTM, VMD-LSTM, VMD-LSTM-KAN and LSTM-KAN models is carried out, and a correlation coefficient (), a mean absolute error (MAE) and a root-mean-square error (RMSE) are selected to evaluate precision. The result shows that the PVLK model has the best performance in single-step and multi-step prediction, the total phosphorus concentration prediction of each section can be kept at 0.75 in 10-step prediction with the step length of 4 hours, the applicability to time sequence data containing abnormal values and high sampling frequency is good, and efficient prediction of lake water quality is effectively promoted.

The invention discloses a rice irrigation area nitrogen and phosphorus reduction process simulation method and system. The method comprises the following steps: respectively calculating irrigation nitrogen and phosphorus concentration and field surface water nitrogen concentration of a current round of a rice irrigation area according to meteorological data, field management data and water quality monitoring data; determining the concentration of pollutants carried by surface runoff and underground leaching load according to the nitrogen concentration of the field surface water; calculating the migration attenuation of the nitrogen and phosphorus concentration in the ditch based on preset ditch parameters and the concentration of pollutants carried by the surface runoff to obtain the ditch outlet concentration; calculating the pond purification concentration based on preset pond parameters and the ditch outlet concentration; and calculating the recharge water phosphorus concentration according to the pond purification concentration and the recharge proportion, and updating the irrigation water phosphorus concentration of the next round in the rice irrigation area according to the recharge water phosphorus concentration to finish the reduction process simulation of nitrogen and phosphorus in the rice irrigation area. The method can be used for quickly and accurately simulating the nitrogen and phosphorus reduction process and discharge load of each part of the paddy irrigation area from field to ditch to pond.

The invention relates to the technical field of plant genetic engineering, and discloses a plant low-phosphorus-resistant important gene GsMYB7 and application thereof. According to the invention, an MYB family GsMYB7 gene is cloned in soybean for the first time. Researches show that the expression of the GsMYB7 gene is increased under the induction of low phosphorus stress, and under different phosphorus concentration treatment conditions, the overexpression GsMYB7 can obviously increase the biomass of transgenic plants and promote the growth of the plants under the low phosphorus condition; meanwhile, overexpression of GsMYB7 can improve the tolerance of plants to low-phosphorus stress, and reduce the inhibition effect of low phosphorus on plant root growth. Therefore, the GsMYB7 plays an important role in adapting to the low-phosphorus stress of the plant, and the adaptive capacity of the plant to the low-phosphorus stress of the acid soil can be improved through a transgenic technology.

The invention relates to the technical field of organic fertilizer detection, and discloses a method for continuously detecting nitrogen and phosphorus in an organic fertilizer. The method comprises the following steps: acquiring an organic fertilizer sample to be detected, and crushing, homogenizing and filtering the sample through a pretreatment device to obtain a standard detection solution; introducing the standard detection liquid into a trace detection channel, and respectively determining absorbance values of the characteristic wavelength of the nitrogen element and the characteristic wavelength of the phosphorus element by adopting a spectral absorption method; generating an initial detection data set based on the absorbance value, and performing time sequence alignment processing on nitrogen element data and phosphorus element data in the set to form a synchronous detection data sequence; according to the synchronous detection data sequence, a standard curve database is called to match nitrogen and phosphorus concentration conversion parameters in the current detection environment, and a preliminary concentration calculation result is generated; environment temperature and humidity, reagent batches and equipment loss data in the historical detection records are extracted to serve as compensation coefficient input, and corrected nitrogen and phosphorus concentration values are output.

The invention provides a Z-type heterojunction material for synchronously removing phosphorus and tetracycline in sewage. The material is composed of a hexagonal flaky nano magnesium-aluminum-iron hydrotalcite matrix with the size of 30-100 nm and a metal oxide growing on the surface. The preparation method of the material comprises the following steps: carrying out hydrothermal treatment on magnesium-aluminum-iron hydrotalcite and trimesic acid in N-N dimethylformamide liquid, growing a metal organic framework compound on the surface of the magnesium-aluminum-iron hydrotalcite in situ through dissolved-out metal ions and trimesic acid, and roasting the metal organic framework compound to obtain the Z-type heterojunction material. The Z-type heterojunction material can synchronously and efficiently remove phosphorus and tetracycline in sewage, the synchronous removal rates of 50 mg of the material to phosphorus and tetracycline are 97.60% and 95.47% respectively in 100 mL of a phosphorus (concentration of 25 mg / L) water sample and a tetracycline (concentration of 50 mg / L) water sample, and the synchronous removal rates of phosphorus and tetracycline are still 87.62% and 85.57% after continuous circulation for five times. The Z-type heterojunction material can be applied to the aspect of phosphorus and tetracycline mixed sewage treatment in the breeding industry.

The invention discloses a wetland ecological restoration method combined with water ecological restoration monitoring, and relates to the technical field of ecological restoration. The method comprises the following steps: acquiring water depths, nitrogen and phosphorus concentrations, dissolved oxygen and biodiversity indexes of a deep water area, a shallow water area and a coastal zone of a wetland through a sensor network, and generating an initial data set; dividing a wetland region by adopting a K-means clustering algorithm, and constructing a classification region feature model; based on the nitrogen and phosphorus concentration and the water depth of each region, configuring plant species, simulating a water flow gallery and optimizing the pollutant removal efficiency; integrating coastal zone data, optimizing the external pollution interception efficiency by using a genetic algorithm, and obtaining an optimal matching parameter; generating a collaborative ecological restoration framework by iteratively adjusting plant parameters, and establishing a comprehensive numerical evaluation model; and a management data set is generated according to an evaluation result, and quantitative optimization of the wetland ecological restoration effect is realized. According to the method, the pollutant removal efficiency can be effectively improved, and collaborative recovery of ecological functions can be ensured.

The invention relates to the technical field of sewage treatment plant chemical phosphorus removal agent accurate adding scheme design, in particular to a sewage treatment plant chemical phosphorus removal agent accurate adding method and system and electronic equipment. Phosphorus concentration, flow and COD data are collected in real time through an online sensor, and preprocessing is conducted through sliding window anomaly detection and data interpolation. And the LSTM network and sliding time window online learning are combined to dynamically predict the phosphorus load within 5-30 minutes, and the error is less than or equal to + / -10%. Based on an enhanced constrained PSO algorithm, the dosage is dynamically optimized, and meanwhile, NSGA-II multi-objective optimization is coupled, so that the medicament cost and carbon emission are balanced. Incremental PID feedback control is introduced, the adding deviation is smaller than or equal to 0.1 mg / L, and the influence of key variables on decision making is strengthened through a dynamic weight adjusting mechanism. The system supports cloud-side cooperation, the response time is less than or equal to 5 minutes, the system is suitable for different scales of treatment plants, and the operation cost is greatly reduced while the effluent is ensured to reach the standard.

This application discloses a real-time control method, device, equipment, and medium for micro-nano air flotation phosphorus removal based on a neural network model, relating to the field of computer technology. It includes: real-time acquisition of operational data through a preset sensor network, and preprocessing the operational data to obtain target data; generating a recommended PAC dosage value based on influent phosphorus concentration, water turbidity, and historical phosphorus removal rate using a first preset neural network model, and dynamically correcting the recommended PAC dosage value based on potential data using a second preset neural network model to obtain the target PAC dosage; optimizing the dissolved air pressure based on the target PAC dosage, influent phosphorus concentration, water turbidity, historical phosphorus removal rate, and post-coagulation parameters using a third preset neural network model to achieve real-time control of micro-nano air flotation phosphorus removal. This enables real-time, adaptive, and intelligent optimization and control of operating parameters during the micro-nano air flotation phosphorus removal process.

The application discloses a method and a device for monitoring effluent orthophosphate concentration and resisting analyzer deviation, and relates to the technical field of sewage treatment. In the method, the monitoring device firstly constructs a state space vector according to operation parameters in a sewage phosphorus removal process, and then constructs a dynamic Markov random field model by taking a true value of effluent orthophosphate concentration as a hidden state variable and the state space vector as an observation variable. After predicting a prior probability distribution based on the model and a historical sequence, when the measurement value of the analyzer is lower than a precision threshold value, the prior probability distribution and the observation value are fused by using a Kalman filtering algorithm to obtain a calibrated concentration value and output the calibrated concentration value to a control system to guide reagent adjustment. In this way, the accuracy and reliability of detection of the effluent orthophosphate concentration are improved when the orthophosphate concentration in the effluent water sample is extremely low.

The invention discloses a pixel scale water environment safety assessment method based on a non-point source water body pollution risk, and belongs to the technical field of environmental protection. According to the method, through an agricultural non-point source pollution direct evaluation method, the pollution risk of terrestrial agricultural non-point source output to surface water is accurately quantified, a DPeRS model is introduced, quantitative evaluation of the remote sensing pixel scale agricultural non-point source river entering amount is achieved, and the pixel scale agricultural non-point source river entering concentration is quantified as a non-point source pollution risk evaluation index in combination with an SWAT model. With surface water environment quality improvement as a target, an agricultural non-point source pollution in-water risk grade threshold value is determined based on a nitrogen and phosphorus concentration limit value in a surface water environment quality standard and a national secondary pollution general survey agricultural non-point source proportion, and a pixel scale agricultural non-point source in-water pollution risk prominent area is rapidly screened. High-precision target positioning of remote sensing pixel scale agricultural non-point source pollution is realized, and source-targeted agricultural non-point source pollution precise prevention and control and agricultural non-point source pollution treatment effect evaluation are facilitated.

The invention discloses a sodium alginate sealed semi-dry calcium-based desulfurized fly ash slow-release material as well as a preparation method and application thereof, and belongs to the technical field of material modification preparation. Through the synergistic effect of the sodium alginate and the desulfurized gypsum, encapsulation and fixation of the desulfurized gypsum by the sodium alginate are synchronously completed to obtain the sustained-release material, the release speed of the SFGDA in a water body is delayed, the situation that the pH is strongly alkaline and violently fluctuates is avoided, the problems of water body pollution and the like caused by direct application of traditional SFGDA are solved, and the preparation method is simple and convenient to operate. The mechanical stability and adsorption efficiency of the material are improved, the water quality of a water body is effectively improved, the survival rate of submerged plants is increased, the concentration of nitrogen and phosphorus dissolved in the water body is reduced, the eutrophication phenomenon of the water body is prevented, and high efficiency, durability and environmental friendliness of water body remediation are achieved. The preparation method disclosed by the invention is simple to operate and low in cost, and has a good application prospect.

The invention relates to the technical field of sewage treatment, in particular to a method for recovering phosphorus resources in excess sludge concentrated clear liquid in situ, which comprises the following steps: additionally arranging a reaction sedimentation tank at the front end of a sewage treatment biological system, introducing excess sludge concentrated clear liquid and part of sewage, and monitoring the flow of the sludge clear liquid, the phosphorus concentration and the ammonia nitrogen concentration in the sewage in real time. The sewage diversion flow and the magnesium liquid adding amount are automatically adjusted, the alkaline environment is regulated and controlled to promote struvite to crystallize and precipitate, and efficient phosphorus recovery is achieved. According to the method, automatic control and chemical precipitation principles are combined, only the existing process needs to be locally modified, the operation cost is low, the occupied area is small, the phosphorus recovery rate exceeds 99%, the generated struvite can be directly used as a phosphate fertilizer, the remarkable economic value is achieved, and meanwhile stable operation of a follow-up biological treatment unit is guaranteed.

The lubricant composition may provide corrosion resistance, oxidation resistance, and reduced wear to the hydraulic system. A lubricant composition can include an ashless dithiophosphate ester in an amount sufficient to provide the lubricant composition with a phosphorus concentration in the range of from 10 ppm to 250 ppm, a metal dialkyldithiophosphate salt, such as zinc dialkyldithiophosphate (ZDDP), in an amount sufficient to provide the lubricant composition with a phosphorus concentration in the range of from 50 ppm to 1000 ppm, a corrosion inhibitor comprising an alkyl triazole derivative in an amount sufficient to provide the lubricant composition with a nitrogen concentration in the range of from 0.75 ppm to 100 ppm; and a major amount of a base oil.

The present invention relates to the technical field of water environment management, specifically a water environment ecological management method and system based on artificial wetlands, comprising the following steps: measuring the dissolved oxygen concentration, ammonia nitrogen concentration, total phosphorus concentration, water temperature and pH value in the root zone in the artificial wetland, calculating the pollutant concentration distribution value and the plant root distribution density at each monitoring point, and obtaining the water quality root distribution characterization value. In the artificial wetland environment, the present invention calculates the pollutant concentration distribution by measuring the dissolved oxygen concentration, ammonia nitrogen concentration, total phosphorus concentration, water temperature and pH value in the root zone, and performs numerical calculations in combination with the plant root distribution density to construct a water quality root distribution characterization, strengthen the spatial heterogeneity analysis of wetland water quality, and optimize the targeting of pollutant degradation. Based on the water quality root distribution characterization, the plant growth cycle parameters are calculated in combination with the water quality parameters, the relationship between the dynamic changes in water quality and the plant growth status is constructed, and the adaptability of wetland ecological regulation is improved.

The present application relates to the technical field of forest seedling and intelligent agriculture, and specifically discloses an intelligent monitoring and nutrient regulation system for sprouting seedlings of fragrant fruit trees, which calculates the red edge position blue shift deviation by collecting the multispectral image of the crown layer of the sprouting seedlings to identify the phosphorus deficiency phenotype; determines the spatial phosphorus deficiency and obtains the root zone reference conductance value by combining the root zone and surface layer phosphorus concentration spatial comparison detection; determines the irrigation interval according to the difference between the reference conductance value and the critical value of fertilizer damage, and precisely applies high-phosphorus water-soluble fertilizer by using pressure-compensating drippers with low flow; after irrigation, the irrigation time is dynamically shortened and the target conductance value is reduced according to the root zone conductance rise amplitude, and after continuous execution for three days, the irrigation is terminated when the blue shift deviation and the color of the newly grown leaves both meet the recovery conditions; the present application realizes early identification and closed-loop feedback regulation of the spatial phosphorus deficiency of the sprouting seedlings of fragrant fruit trees, avoids fertilizer damage and root rot, and improves the accuracy and safety of nutrient regulation.

Lubricant compositions may provide corrosion resistance, oxidation resistance, and reduced wear for hydraulic systems. A lubricant composition may comprise an ashless dithiophosphate in an amount sufficient to provide a concentration of phosphorus ranging from 10 ppm to 250 ppm to the lubricant composition, a metal dialkyl dithiophosphate such as zinc dialkyl dithiophosphate (ZDDP) in an amount sufficient to provide a concentration of phosphorus ranging from 50 ppm to 1000 ppm to the lubricant composition, a corrosion inhibitor comprising an alkyltriazole derivative in an amount sufficient to provide a concentration of nitrogen ranging from 0.75 ppm to 100 ppm to the lubricant composition, and a major amount of a base oil.