50 results about "Total phosphorus" patented technology

The present application relates to water quality detection and analysis technical field, specifically to a kind of water total phosphorus multi-parameter synchronous detection method based on water, comprising: after the original water sample is pretreated, the standard test solution obtained is simultaneously introduced into parallel digestion tank and optical cell, and the digestion and conversion of phosphorus compound and the collection of water sample background spectrum are completed synchronously.Digestion liquid is distributed to multiple independent color developing channels, each channel uses characteristic color developing agent configured for different concentration interval or interference condition, concurrent color developing reaction is carried out under the same environment, and the reaction kinetics time sequence spectrum of each channel is collected.The background spectrum and all kinetic spectrum sequences are input into integrated calibration model for data fusion and cross analysis, and total phosphorus content detection result is directly output.The method realizes wide concentration range, high anti-interference capability of water total phosphorus rapid and accurate detection by parallel acquisition of homologous background information and multi-reaction channel kinetic data.

The application discloses a kind of lake total phosphorus concentration spatio-temporal evolution and driving factor identification method, and the application relates to water environment monitoring technical field, constructs water body, sediment and in and out lake river multi-medium linkage analysis system, carries out multi-scale spatio-temporal evolution analysis and multi-path mechanism quantization, realizes the accurate identification of scene main control driving factor, and the standardization analysis process is formed by verification solidification, the application has the advantages that by constructing water body, sediment and in and out lake river multi-medium linkage full-dimensional analysis system, simultaneously integrate multi-source spatio-temporal data covering full lake area function partition, complete hydrological year cycle, carry out the coupling analysis of multiple time scales and multiple spatial dimensions, break through the industry common defects that the evolution law of total phosphorus concentration is not comprehensive, data is insufficiently representative, and the whole chain variation characteristics cannot be clarified, caused by the fact that the prior art only focuses on single medium of water body, uses scattered point position low-frequency monitoring data.

The application discloses a production process for preparing composite carbon source by utilizing fruit and vegetable waste resources, and comprises the following steps: raw material pretreatment, anaerobic fermentation for acid production, composite enzymolysis, deep solid-liquid separation, composite blending, and stabilization treatment; the blending carbon source liquid is pumped into the stabilization treatment tank, 0.1%-0.3% of a compounded stabilizer is added, the pH value is adjusted to 6.0-7.0, normal-temperature standing is carried out for 12-24 hours, product detection and storage are carried out, the carbon source product after the stabilization treatment is detected in terms of COD, total nitrogen, total phosphorus, the pH value and the content of small-molecule organic acid, and after each index is qualified, the product is sealed and packaged and stored in a cool and dry environment, and the application solves the technical problems of high cost, poor safety, single fruit and vegetable base carbon source component, low degradation efficiency and poor product stability of traditional carbon sources.

The application discloses a method for predicting total phosphorus index of effluent in a sewage treatment process. The method comprises the following steps: constructing a data set containing multi-dimensional time sequence characteristics and preprocessing; performing batch normalization and working condition random mask on input data; adopting exponential moving average to decompose into trend item data and residual error item data; inputting the trend item data and the residual error item data into two LSTM-Attention branches respectively to extract long-period trend and multi-feature coupling dependence; dynamically fusing the trend item features and the residual error item features through an adaptive gating mechanism; finally, performing initial prediction through a deep learning backbone network, and performing secondary correction on the prediction residual by a lightweight gradient boosting machine model to output the final total phosphorus prediction value. Through time sequence decoupling, double-branch customized extraction, adaptive fusion and two-stage hybrid correction, the application significantly improves the prediction accuracy and robustness, and is suitable for early warning of total phosphorus of effluent in a sewage plant.

1. The name of the design product: full-spectrum multi-parameter water quality online analyzer (SECCO-L-1905). 2. The use of the design product: for analyzing and detecting key water quality indicators such as total phosphorus, total nitrogen, COD, ammonia nitrogen, nitrate nitrogen, nitrite nitrogen, etc. in water, online monitoring, fixed and mobile monitoring of water quality in "source-net-plant-river" multiple scenes, and water pollution prevention and supervision. 3. The design points of the design product: the combination of the shape and pattern of the product as a whole. 4. The picture or photo that best indicates the design points: perspective view 1.

The method for preparing high-phosphorus Chlamydomonas based on PTB2 overexpression and its application in phosphorus recovery belongs to the fields of bioengineering and environmental science. This method obtains recombinant Chlamydomonas by cloning and overexpressing the PTB2 gene, a sodium-phosphorus-dependent phosphate transporter, from Chlamydomonas reinhardtii. This recombinant Chlamydomonas exhibits a synergistic and significant increase in total phosphorus content and polyphosphate content, while also showing promoted growth. The high-phosphorus recombinant Chlamydomonas of this invention can efficiently remove phosphorus from water bodies and can be used for eutrophication control; simultaneously, its high-phosphorus biomass can serve as a high-quality microalgal fertilizer raw material, providing an efficient and environmentally friendly technical solution for the biological recovery and recycling of phosphorus resources.

This utility model relates to the field of water sample collection technology for total phosphorus detection, and discloses a quantitative water sample extractor for total phosphorus detection. It includes a water sampler body, a counterweight fixedly connected to the outer wall of the left end of the water sampler body, a connecting ring fixedly connected to the bottom end of the rod of the water sampler body, a threaded groove on the inner wall of the connecting ring, and a collection bottle detachably connected to the connecting ring through the threaded groove. A transition ring is rotatably connected to the right end of the water sampler body, and an adjusting column is slidably connected to the inner wall of the transition ring. A moving rod is connected to the left end of the adjusting column through an adjusting assembly. Pull rods are slidably connected to the outer walls of both the front and rear ends of the water sampler body, and a floating ball is connected to the right side of the opposite end of the pull rod through a floating assembly. In this utility model, water enters the water sampler body through the inlet ring. After the sealing plate resets, the water sample flows into the collection bottle, achieving quantitative sampling and improving convenience and accuracy.

The present invention relates to the field of treatment of wastewater from express highway service areas, and in particular relates to a method for treating wastewater from express highway service areas based on anammox-enhanced AOOA-MBBR. The method comprises: step I, preparing a reactor; step II, starting up the reactor and inoculating bacteria, in which step, the hydraulic retention time is gradually shortened to 20 h after an effluent stably runs for a preset time; step III, anammox enhancement, involving: after the effluent stably runs for the preset time, respectively replacing some of a filler in each tank with a filler carrying a biofilm of anammox bacteria, wherein the dissolved oxygen concentration of a first aerobic tank is 0.2 mg / L, and the dissolved oxygen concentration of a second aerobic tank is 0.5-0.8 mg / L, adding manganese sulfate to some of the wastewater from express highway service areas, and then directly pumping the resulting mixture into a second anoxic tank; and step IV, after the effluent is stable, entering a stable stage. By means of the present invention, the total nitrogen and total phosphorus of the effluent can meet corresponding discharge standards at a hydraulic retention time of 20 h, thereby improving the treatment efficiency of wastewater from express highway service areas and avoiding the problem of subsequent phosphorus removal being troublesome.

The application discloses a nitrogen and phosphorus synergic management method of river-estuary continuum, and belongs to the technical field of ecological management, and the method comprises the following steps: S1, using the coastal eutrophication potential index to diagnose the key nutrient elements affecting the stoichiometry of nutrient salts and flux; S2, determining the ecological threshold values of total nitrogen, total phosphorus, dissolved inorganic nitrogen and dissolved inorganic phosphorus in different zones of the estuary according to the relationship between the nutrient concentration and the ecological response index; S3, comprehensively diagnosing the eutrophication risk based on the coastal eutrophication potential index and the ecological threshold value, and judging whether to select the basin management or the estuary management; S4, identifying the key source area of nitrogen and phosphorus pollution which substantially limits the water quality target of the downstream under the water function zoning and the environmental capacity limitation; and S5, putting forward the nitrogen and phosphorus synergic management strategy based on the cost-benefit analysis; the application realizes the whole-chain nitrogen and phosphorus synergic management and control of land-sea overall planning, zoning refinement, accurate tracing, and economic efficiency, and is popularized and applied to the comprehensive treatment of eutrophication of river-estuary continuum.

The present application relates to the technical field of alfalfa planting, and discloses a phosphorus application quota distribution method for improving alfalfa seed yield, and the specific process is as follows: first, preparing the planting plot, cleaning the plot weeds in advance, leveling the land, installing the underground drip irrigation system, then, sowing and applying base fertilizer, applying the base fertilizer when finishing the land, planting the test variety by using the wide-narrow row mulching sowing method, uniformly dripping seedling water the next day to ensure uniform seedling emergence, setting the total irrigation amount and the total phosphorus application amount per hectare, and through the water and phosphorus management mode of implementing irrigation and phosphorus application quota distribution, the water and phosphorus are proportionally controlled to carry out underground drip irrigation in the growth periods of the branching stage, the squaring stage, the flowering stage and the podding stage of alfalfa, the technical scheme provided by the present application realizes the synergistic effect of differentiated irrigation amount and phosphorus application amount quota distribution in different growth periods through setting different irrigation and phosphorus application quota distribution modes, and thus improves the alfalfa seed yield and the water and phosphorus utilization efficiency.

The application relates to the technical field of sewage treatment, and discloses a sewage treatment process method based on an improved target genetic algorithm optimized LSTM, which is characterized in that the process method comprises the following steps: step S1, sewage treatment data acquisition and pretreatment; step S2, sewage treatment process modeling based on an LSTM; and step S3, multi-target genetic algorithm optimization design. The method comprehensively considers multi-dimensional performance indexes such as reaction time, energy consumption and biogas yield of a sewage treatment system, takes the emission standards of chemical oxygen demand (COD), biochemical oxygen demand (BOD), ammonia nitrogen (NH3-N), total nitrogen (TN) and total phosphorus (TP) as constraints, and realizes intelligent and multi-target optimal configuration of sewage treatment process operation parameters.

This invention discloses a cultivation method for increasing the starch content of duckweed, relating to the field of plant culture technology, comprising the following steps: taking pig farm biogas slurry, adjusting ammonia nitrogen to 10 mg / L~20 mg / L, total phosphorus to 0.1 mg / L~2.0 mg / L, and pH to 5.0~6.0, then inoculating initial duckweed into it and culturing for 5~7 days to obtain acclimatized duckweed; taking pig farm biogas slurry, adjusting ammonia nitrogen to 40~50 mg / L, total phosphorus to 0.4 mg / L~5.0 mg / L, and pH to 5.0~6.0, then adding sodium pyrophosphate and Bacillus amyloliquefaciens, then inoculating the acclimatized duckweed into it and culturing for 2~3 days to obtain high-starch duckweed. This invention constructs a two-step cultivation system of acclimatization and stress through culture solutions with differentiated nitrogen and phosphorus concentrations, and with the synergistic effect of sodium pyrophosphate and Bacillus amyloliquefaciens, achieves efficient and stable accumulation of duckweed starch.

This invention relates to a method for the simultaneous capture of carbon and phosphorus in wastewater. It addresses the problems of high aeration energy consumption, long hydraulic retention time, low phosphorus removal rate, and high carbon, ammonia, and phosphorus levels in existing wastewater treatment processes. The method utilizes the aerobic phosphorus absorption characteristics of microorganisms, employing tightly bound EPS (extracellular polymeric substances) to rapidly store and release phosphorus, capturing it in the sludge phase. This simultaneously and rapidly reduces COD and total phosphorus in the wastewater to low levels, achieving a COD removal rate of over 70%. Furthermore, the proportion of carbon captured and converted into the sludge phase reaches 30%–37%, while the proportion of organic matter oxidized to CO2 is only 22%–31%, resulting in an effective phosphorus capture rate of 70%–75%, achieving highly efficient capture and removal of both phosphorus and organic matter. Simultaneously, for effluent treatment with irrigation potential, the method achieves phosphorus capture ratio control based on efficient carbon capture, thereby obtaining effluent with low COD concentration and dynamically adjustable nitrogen-to-phosphorus ratio to meet target irrigation needs.

This disclosure discloses a spectrophotometric detection device and method for total ammonium phosphomolybdate in surface water, comprising: a shell, wherein a filter chamber and a detection chamber are provided inside the shell, a surface water test tube is snapped and fixed inside the filter chamber, a filter structure is slidably fitted inside the filter chamber, the filter structure includes a filter plate, a baffle is fixed to the lower side of the filter plate, a rotating shaft is rotatably fitted inside the filter plate, a stirring structure is installed around the circumference of the rotating shaft, a driving structure is installed inside the shell, and a telescopic connection structure is installed between the driving structure and the rotating shaft. In the spectrophotometric detection device and method for total ammonium phosphomolybdate in surface water of this disclosure, the filter structure is slidably installed inside the filter chamber. Firstly, the surface water can be filtered by activated carbon to ensure the cleanliness of the surface water, thereby preventing the surface water from being too turbid and affecting the light transmission during detection, thus ensuring the accuracy of the experimental results. Furthermore, the phosphorus adsorbed by the activated carbon can be replaced by the eluent, thereby facilitating the detection of total phosphorus.

The application discloses a method for high-efficiency degradation of high-salinity wastewater by salt-tolerant bacteria in a composite inorganic salt system, and relates to the technical field of biological treatment of high-salinity industrial wastewater.The method realizes directional strengthening of the salt-tolerant performance of three strains of Staphylococcus xylosus, Alcaligenes faecalis and Bacillus cereus by a gradient-increasing NaCl domestication method.Under the condition of 40-50 g / L high salinity, the growth amount of the domesticated strains is increased by 30-40% compared with that of the non-domesticated strains, effectively relieving the osmotic pressure stress and metabolic enzyme activity inhibition of the microorganisms in the high-salinity environment.Meanwhile, the composite salt-tolerant bacteria agent is compounded based on functional complementation, and the agent has the abilities of efficient denitrification, phosphorus removal and organic matter degradation, and can adapt to the composite inorganic salt system of NaCl, CaCl2 and MgSO4 alone or in combination, and can realize synchronous and efficient removal of COD, ammonia nitrogen, total nitrogen and total phosphorus in a wide salinity range of 10-80 g / L.The method breaks through the technical limitation that the existing salt-tolerant bacteria only adapt to a single salt system and have single degradation function, and greatly widens the applicable scenarios of the biological method in the treatment of high-salinity wastewater.

The application discloses a sewage plant total phosphorus intelligent control system and method based on edge cloud cooperation. Each edge node performs the following processing: obtaining an effective edge data set and a local parameter library; generating a current working condition label and an expert parameter group according to the effective edge data set and the local parameter library; generating a medicament adding initial value of a current edge side real-time control cycle according to the effective edge data set of the current edge side real-time control cycle and the expert parameter group; and performing optimization processing on the medicament adding initial value of the current edge side real-time control cycle, so as to obtain an optimal adding amount of the current edge side real-time control cycle. The application constructs a layered progressive intelligent control logic of edge cloud data support-working condition parameter matching-initial value accurate generation-addition amount optimization, deeply couples edge side real-time working condition data and cloud end global optimization parameters, and realizes the precision, real-time, intelligence and economy of medicament adding control.

The present application belongs to the field of environmental engineering and biological resource recycling technology, and particularly relates to a wastewater treatment and poly-beta-hydroxybutyric acid synchronous recovery method based on a bacteria-algae symbiotic system. The present application independently screens a dominant algal group and bacterial group capable of generating PHB (poly-beta-hydroxybutyric acid) from a local water environment, constructs a bacteria-algae symbiotic system for degrading wastewater, and can degrade main pollutants (COD, ammonia nitrogen and total phosphorus) in the wastewater within 48 hours, greatly improves the ability of the system to generate PHB synchronously during the wastewater treatment process, and realizes high-yield recovery. The present application uses an orthogonal test method to systematically optimize five key operating parameters, provides a complete and clear process scheme for engineering applications of different scales and different water qualities, ensures the replicability and amplification potential of the technology, and realizes the concept of "waste control by waste and waste into treasure". The whole process is green and low-carbon, and the final product can be completely biodegraded, which conforms to the concept of circular economy and sustainable development.

The application relates to the technical field of phosphorus content monitoring, and discloses an edge internet-of-things rural water body total phosphorus content monitoring method and system.The method comprises the following steps: collecting sensing data of rural water bodies at edge node positions; using a lightweight deep inference model to perform feature extraction and total phosphorus content evaluation on the sensing data of the rural water bodies, and constructing transmission data packets by the edge nodes; based on a cooperative protocol and a time slot allocation algorithm between the edge nodes, the transmission strategy of the transmission data packets is dynamically adjusted; the historical transmission data packets of the edge nodes are fused, the total phosphorus content in the transmission data packets is checked and adaptively corrected by using an edge monitoring correction mode, and the corrected total phosphorus content is output.The application combines adaptive correction, lightweight deep inference, transmission strategy optimization and space-time checking mechanisms, realizes real-time accurate monitoring and automatic correction of abnormal total phosphorus content, and effectively improves the reliability, stability and edge computing efficiency of the monitoring data.

This invention discloses a river and lake eutrophication status monitoring system, belonging to the field of intelligent water environment monitoring technology, including data acquisition, feature fusion, state inference, probability calculation, and map construction modules. The data acquisition module acquires multi-source heterogeneous raw sensing data of the monitored water area, forming multi-dimensional water body feature parameters. The feature fusion module inputs the parameters into a deep feature fusion network, outputting a high-dimensional fused feature vector through adaptive weighting and nonlinear mapping. An inference engine embedded with historical cases trains a causal graph model, activating model nodes and paths based on high-dimensional features, calculating the simulated concentrations of total phosphorus and total nitrogen, and the posterior probability distribution of the comprehensive trophic state index, ultimately constructing a spatiotemporal evolution map of eutrophication. This system can fully explore the inherent correlations of water body characteristics, accurately infer index changes based on probabilistic causal logic, and completely restore the spatiotemporal evolution of eutrophication in water areas, making the monitoring results more consistent with the actual water body state.

The application discloses a total nitrogen and total phosphorus concentration online monitoring method and system combining spectrum enhancement and closed-loop correction. The method comprises the following steps: synchronously collecting water quality online monitoring data and fluorescence / ultraviolet spectrum data and performing pretreatment; extracting characteristic indexes related to total nitrogen and total phosphorus from the spectrum data; introducing random noise to the enhancement characteristic set of the predefined key area to perform data enhancement, and performing cluster compression on the data of the non-predefined area; training a machine learning prediction model by using the optimized data; regularly obtaining manual monitoring data of a national control section; and finally performing real-time concentration prediction by using the corrected model. The application relates to the technical field of water environment monitoring; the training efficiency and the performance of the key area are balanced through regional optimization processing, the long-term reliability and authority of the model are ensured through the closed-loop correction mechanism of the national control section data, and high-precision, high-robustness and self-evolution total nitrogen and total phosphorus concentration online monitoring is realized.

This invention provides a straw-based magnesium-iron modified biochar and its industrial wastewater treatment method, belonging to the field of water treatment materials technology. The method includes: S1, mixing and impregnating straw powder with magnesium or iron salt solutions and conducting a hydrothermal reaction to promote metal ion penetration into the fiber interior and pre-complexation with oxygen-containing functional groups, obtaining a deeply modified precursor; S2, pyrolyzing the precursor under a protective atmosphere with limited oxygen, achieving in-situ simultaneous biomass carbonization and metal crystallization, thus firmly anchoring the metal active sites in the generated carbon skeleton. This invention effectively avoids metal agglomeration, endowing the material with a well-developed microporous-mesoporous structure and extremely low metal dissolution rate; it is not only resistant to acid leaching and desorption and has a long cycle life, but also specifically overcomes the "negative removal" defect of primary carbon in phosphorus removal, achieving highly efficient synergistic purification of total phosphorus, COD, and ammonia nitrogen in industrial wastewater.

This invention discloses a fertilization method for increasing the yield of soapberry trees by achieving multiple economic objectives. It relates to the field of soapberry cultivation technology. During the budding, flowering, fruit-setting, and ripening stages of soapberry trees, the total nitrogen, total phosphorus, and total potassium contents of the soil within the canopy area of ​​each tree are measured. After harvesting, multiple economic indicators for each tree are measured, and the tree diameter is recorded. A mixed-effects multinomial regression method is used to construct the functional relationships between the total nitrogen, total phosphorus, and total potassium contents of the soil and the various economic indicators at each stage, as well as the functional relationships among the total nitrogen, total phosphorus, and total potassium contents. Nonlinear optimization iterative machine learning is performed on each yield indicator function and the relationship function of total nitrogen, total phosphorus, and total potassium for each stage to obtain the optimal solution for each yield indicator. Based on the optimal solution, the optimal solution for the comprehensive traits at each stage is calculated. Then, at each stage, the amount and ratio of fertilizer are determined based on the total nitrogen, total phosphorus, and total potassium contents of the soil at the proposed fertilization location.

The application discloses a kind of lake total phosphorus fluxes accurate accounting method, the application relates to water quality monitoring technical field, constructs three-dimensional water power and water quality coupling model and divides effective and invalid flux, combined with dynamic targeting monitoring, two-way LSTM inversion and closed loop check, realize the accurate adaptation accounting of lake total phosphorus fluxes, solve the scene adaptation defect of traditional river method, the advantages of the application are that: by constructing lake three-dimensional water power and water quality coupling numerical model and carrying out total phosphorus whole path tracking, effective flux and invalid flux are accurately divided, dynamic targeting monitoring system is replaced by traditional fixed point arrangement mode simultaneously, effectively solve the core defects that existing river type accounting method cannot adapt to lake complex flow field, it is difficult to distinguish lake internal circulation invalid flux, monitoring data is not representative, avoid flux repeated calculation and mistake problem, improve the matching degree of monitoring data on lake total phosphorus migration and transformation law.

The application discloses a total nitrogen and total phosphorus inversion method based on sample migration and lasso regression, which comprises the following steps: step 1, collecting water quality data of multiple sites and sorting the water quality data of each site according to time respectively; step 2, pre-processing; step 3, for each site, dividing a target domain training set and a target domain test set respectively; and determining a source domain auxiliary training set; step 4, constructing a TrAdaboost transfer learning model based on a weak learner lasso algorithm, training a model corresponding to the site by using a combination of the source domain auxiliary training set and the target domain training set, obtaining a trained sample transfer learning model corresponding to each site, and inputting the target domain test set corresponding to the site into the trained sample transfer learning model to obtain a model output of total nitrogen and total phosphorus results corresponding to the site. The application can effectively improve the detection efficiency and the detection precision of measurement results.

This invention discloses a method, configuration screening method, and system for classifying the risk level of green space plants around water bodies based on the nutrient enrichment characteristics of plants through-rain. The invention obtains the flux enrichment multiples of total nitrogen and total phosphorus (TN) of target plants during precipitation events, and classifies plants into five risk levels based on a comparison of these flux enrichment multiples with preset thresholds: low-risk (both nitrogen and phosphorus), nitrogen-controlled preferred, phosphorus-controlled preferred, medium-risk (both nitrogen and phosphorus), and high-risk (both nitrogen and phosphorus). Furthermore, candidate plants are differentiated and spatially configured according to the risk level, transforming ecological observation indicators into engineering decision-making basis for source environmental risk prevention and control. This achieves a shift from passive management to proactive prevention, providing a quantitative and operable technical solution for reducing the nitrogen and phosphorus input load of green space systems on water bodies and preventing eutrophication.

The application discloses a kind of lake total phosphorus concentration spatio-temporal evolution and driving factor identification method, and the application relates to water environment monitoring technical field, constructs water body, sediment and in and out lake river multi-medium linkage analysis system, carries out multi-scale spatio-temporal evolution analysis and multi-path mechanism quantization, realizes the accurate identification of scene main control driving factor, and the standardization analysis process is formed by verification solidification, the application has the advantages that by constructing water body, sediment and in and out lake river multi-medium linkage full-dimensional analysis system, simultaneously integrate multi-source spatio-temporal data covering full lake area function partition, complete hydrological year cycle, carry out the coupling analysis of multiple time scales and multiple spatial dimensions, break through the industry common defects that the evolution law of total phosphorus concentration is not comprehensive, data is insufficiently representative, and the whole chain variation characteristics cannot be clarified, caused by the fact that the prior art only focuses on single medium of water body, uses scattered point position low-frequency monitoring data.

This invention discloses a tiered, barrier-control composite ecological wetland structure for agricultural non-point source pollution control, comprising a primary physical buffer sedimentation zone, a secondary enhanced biochemical purification zone, and a tertiary water quality stabilization and ecological restoration zone arranged sequentially along the water flow direction. The primary physical buffer sedimentation zone includes a sedimentation area, permeable baffles, and a layer of boulders. The secondary enhanced biochemical purification zone includes baffles, a layer of bagged biochar, a three-dimensional mesh packing module, and submerged plants at the front end. The tertiary water quality stabilization and ecological restoration zone includes submerged plants at the middle and rear ends. This invention significantly improves the long-term reliability and lifespan of the system, enhances the stability of total nitrogen and total phosphorus removal, and ensures the ecological stability and environmental friendliness of the final effluent.

The present invention consists of a process for removing impurities from hard water. Using chemical agents, it removes impurities by mixing a chemical preparation and employing decantation in the first stage of impurity removal. Subsequent validation of the results allows for the removal of other types of impurities present in the water, such as arsenic, cadmium, cyanide, copper, chromium, mercury, nickel, lead, and zinc. Finally, it removes contaminants and microorganisms from the following group: fats and oils, suspended solids, organic carbon, total nitrogen, total phosphorus, worm eggs, E. coli, and fecal enterococci. The resulting sediments are used as biofertilizers, and the treated water can be discharged into conventional municipal sewer systems or, if necessary, treated with ozone (O3) for human consumption.