974 results about "Heavy metals" patented technology

The invention discloses an intelligent monitoring system for sewage treatment in the coal chemical industry, and relates to the technical field of sewage treatment.The intelligent monitoring system is characterized in that a water quality monitoring unit is used for collecting parameters such as COD, turbidity, pH and heavy metal ion concentration in real time, the change trend of water quality in a short time is predicted through a long-short term memory (LSTM) network, and then adding parameters of a flocculating agent are dynamically calculated; the defects of a fixed adding curve or artificial experience adjustment are overcome, so that the adding amount, the type and the speed of the flocculating agent can be adaptively adjusted to be matched with the change of sewage components; the addition optimization unit is combined with a CNN-LSTM model to analyze the rheological characteristics of the sludge, so that the addition of the flocculating agent adapts to the rheological change of the sludge, the flocculation effect is optimized, and the sludge settling performance is improved; meanwhile, the stirring control unit adjusts the stirring strength and time in real time based on ultrasonic online monitoring data, so that the flocculating agent is fully dispersed, the particle distribution state is optimized, the flocculation reaction is more uniform, and the subsequent precipitation separation efficiency is improved.

The invention provides a method and a system for intelligently interactively controlling water production equipment. Wherein heavy metal ion concentration data is collected in real time through a multi-node sensing array, concentration difference fluctuation of adjacent monitoring points is analyzed, and a pollutant diffusion track is deduced; when the monitoring data exceeds the standard, switching of a standby water source is triggered based on a diffusion trajectory analysis result, and a reverse cleaning instruction is generated in combination with the dynamic ratio of the concentration gradient change rate to the diffusion speed; dynamically correcting the concentration deviation by utilizing fluid mechanics parameters in a high-pressure impact process in cooperation with multi-dimensional sensor data, and generating environmental response type pollution grade parameters; finally, a pollutant migration path in the three-dimensional diffusion model is matched according to the pollution level, a decision signal containing emergency water source coordinates and the cleaning priority is output, and full-process closed-loop intelligent control from pollution monitoring to emergency decision is achieved. According to the technical scheme provided by the invention, the response speed and the disposal accuracy of the water quality sudden pollution event are improved.

The invention discloses a water quality heavy metal real-time detection method and system based on multi-source data fusion, and relates to the technical field of water quality detection.The water quality heavy metal real-time detection method comprises the steps that spectral data and electrochemical data of a water quality sample are obtained, feature analysis is conducted based on the spectral data, a spectral heavy metal detection model is constructed, and a spectral detection result is obtained; performing feature analysis based on the electrochemical data, and constructing an electrochemical heavy metal detection model to obtain an electrochemical detection result; and performing multi-source data fusion according to the spectrum detection result and the electrochemical detection result to obtain a water quality heavy metal detection result. By collecting spectral data and electrochemical data, the limitation of a single detection method is overcome, and the stability and reliability of the model are improved; by establishing a multi-level anomaly detection and processing mechanism and formulating corresponding processing strategies for different levels, the intelligent management of the detection process is realized, and the accuracy and credibility of the detection result are improved.

The invention provides an online monitoring method for product quality in a solid waste recycling process, and belongs to the technical field of solid waste recycling. A parameter acquisition system is constructed to synchronously acquire a multi-parameter matrix, a sampling rate determination function is applied to realize dynamic adjustment of a sampling frequency, and a solid waste component migration equation is utilized to analyze a substance conversion rule; a spectrum fusion optimization function is used for processing various spectrum data, an FWM model is used for achieving product quality multi-dimensional evaluation, the heavy metal content is monitored in combination with an electrochemical sensor network, a comprehensive quality evaluation result is finally formed, an updating sampling rate is output through the FWM model, a function weight coefficient is determined, online monitoring closed-loop control is formed, and the comprehensive quality evaluation result is obtained. Real-time, accurate and comprehensive monitoring of the quality of solid waste recycling products is realized, the problem of key process transition point data missing caused by fixed frequency sampling is effectively solved, and reliable technical support is provided for optimization of the solid waste recycling process.

The invention relates to the technical field of municipal sludge treatment, in particular to a method for recycling nitrogen and phosphorus elements from municipal sludge. According to the method, the municipal sludge is subjected to hydrothermal carbonization treatment, the treated solid-phase product is dried and ground to a specific particle size, the solid-phase product is subjected to acid leaching under a specific condition to extract the phosphorus element, and then heavy metal and metal elements such as Al and Fe in the acid leaching liquid are removed by adopting strong-acid ion exchange resin and a chemical precipitant, so that the phosphorus element is obtained. And finally, mixing the struvite with a hydrolyzate which is subjected to hydrothermal carbonization treatment and is rich in ammonia nitrogen, and precipitating by adjusting the element proportion and the pH value to obtain a solid-phase product struvite crystal. According to the method, external nitrogen-containing substances do not need to be added, the content of heavy metal in the solid-phase product struvite can be effectively reduced, the recovery rate of phosphorus can reach 93% or above, the recovery rate of ammonia nitrogen can reach 63% or above, the recovery rate of nitrogen and phosphorus is high, energy consumption is low, and the treatment cost is low.

The invention discloses a water heavy metal concentration simulation and prediction method, which comprises the following steps: integrating original monitoring data, hydrodynamic data, total suspended solids, image remote sensing data and human activity data, and generating a multi-source cleaning sequence data packet; executing cross-modal adsorption capacity estimation by using image remote sensing data in the data packet, inferring particle chemical composition and adsorption isotherm parameters from image textures, and generating a capacity feature packet containing an adsorption capacity upper bound; time-varying travel time is calculated based on the hydrodynamic data and the human activity data, causal alignment is performed on the capacity feature packet and the upstream signal, and a travel time alignment feature packet is generated; and in combination with metal fingerprint parameters, applying an adsorption capacity upper bound as a physical constraint on a form distribution constraint head, explicitly decoupling and predicting the form, and generating a prediction result packet. According to the method, the hydrodynamic physical mechanism and the particle adsorption chemical mechanism are deeply coupled, and the prediction precision and the physical consistency of the model under the unsteady state condition are improved.

The invention discloses a method for predicting the heavy metal adsorption capacity of micro-plastics, which comprises the following steps of: screening heavy metal and micro-plastic adsorption data from literature and professional databases, and arranging the data into a sample data set; performing preprocessing including data cleaning, missing value processing and data standardization on the sample data set; constructing an adsorption capacity prediction model, and performing training and evaluation to determine an optimal prediction model; using random search, Bayesian optimization or grid search to adjust hyper-parameters of the model; and carrying out adsorption capacity prediction on microplastics and heavy metals with unknown adsorption capacities by using the adsorption prediction model. The method can be practically applied to research on adsorption of the heavy metal ions to the micro-plastics, interaction between the heavy metal ions and the micro-plastics can be visually understood, and ecological risks caused by coexistence of the heavy metal ions and the micro-plastics can be evaluated.

The invention discloses a seawater trace heavy metal on-line monitoring probe error automatic correction method, and belongs to the technical field of marine environment monitoring automatic control, and the method comprises the following steps: obtaining seawater fluid parameters and probe surface microorganism adhesion thickness data; generating a sensitive film deformation prediction parameter according to the data; dynamically synthesizing a seawater osmotic pressure standard solution based on the parameters; an in-situ adsorption efficiency coefficient is obtained through adsorption efficiency verification; comparing the reference efficiency coefficient to calculate an electrochemical compensation parameter of the probe; dynamically adjusting deformation parameters based on the microorganism adhesion thickness to generate a voltage compensation instruction; and finally, outputting probe correction control parameters through correction and superposition of the electrochemical parameters and the voltage instruction. By constructing a feedforward-feedback composite control system, predictive compensation for physical disturbance and real-time feedback calibration based on dynamic osmotic pressure standard liquid are combined, decoupling suppression for multi-source disturbance is achieved, and therefore the autonomous closed-loop control capacity of a probe is established.

The invention discloses a recovery treatment process of heavy metal production wastewater, and relates to the technical field of wastewater treatment. Adjusting the pH value of the wastewater through pretreatment and stirring; 5%-10% of nanometer seed crystals are added in the seed crystal reinforced vulcanization process, a vulcanizing agent is controllably added, and large-particle-size precipitates are generated through pulse stirring; magnetic field separation is performed after magnetic microsphere adsorption; carrying out selective adsorption and acid regeneration on the chitosan-based magnetic resin; micro pollutants are removed through cooperation of the three-dimensional electrode and photocatalysis; concentrating 10-20 times by membrane distillation to enrich heavy metals; metal simple substances with the purity larger than or equal to 99.5% are recycled through pulse electrodeposition; and after deep treatment, the wastewater reaches the standard to be discharged or recycled (the recycling rate is greater than or equal to 70%). The process innovation comprises the steps of enhancing the seed crystal to improve the vulcanization efficiency by 30%, realizing rapid separation by a magnetic material, reducing the energy consumption by 40% by a three-dimensional electrode coupling membrane method, and constructing a vulcanizing agent regeneration (the regeneration rate is greater than or equal to 85%) and heavy metal closed-loop recovery system. Compared with a traditional process, the heavy metal removal rate is larger than or equal to 99.8%, the treatment cost of each ton of water is reduced by 25%-30%, and the method has the advantages of high efficiency, low consumption, environmental protection and recycling and is suitable for multi-metal complex wastewater.

The invention discloses an urban road rainwater runoff stage treatment system and method, and relates to the technical field of urban rainwater pollution treatment. In order to solve the problems that an existing system is difficult to monitor multi-index water quality in real time, the pollution degree is accurately recognized, and distribution control lacks dynamics, the system is provided with a multi-source spectrum water quality monitor at the tail end of a pipe network, turbidity, COD, TOC and heavy metal concentration are monitored in real time, rainfall intensity data are accessed into a control center, the pollutant load instantaneous rate L is calculated through a weighted summation formula, and the real-time monitoring of the pollution degree is achieved. A controllable flow distribution module in the flow distribution well distributes the rainwater to an enhanced treatment unit, a biological aerated filter system or a horizontal flow sedimentation tank, wherein the enhanced treatment unit comprises a rotational flow sand setting unit, an electrochemical heavy metal degradation unit and a chemical flocculation unit. The system is mainly used for realizing quality-divided efficient treatment and resource recycling of rainwater and guaranteeing the safety of a receiving water body.

The invention relates to the technical field of environmental nano-materials, and particularly discloses a chitosan magnetic nano-composite adsorption material as well as a preparation method and application thereof, and the technical key point is that the chitosan magnetic nano-composite adsorption material is successfully prepared by compounding modified chitosan and a Fe3O4 magnetic nano-material. The material has the remarkable advantages of large specific surface area, high selectivity, easiness in separation and the like. Through an ICP-MS (Inductively Coupled Plasma Mass Spectrometry) analysis method, experimental conditions are optimized, and the removal effect of the material on nine harmful elements including Cr, Cu, Zn, As, Se, Ag, Cd, Sb and Pb is evaluated. Experimental results show that the material can efficiently adsorb the heavy metal elements after being subjected to ultrasonic treatment for 120 minutes under the conditions that the temperature is 20 DEG C, the initial concentration is 5mg / L, the material dosage is 10mg and the pH value is about 6, the adsorption rate of the material to the heavy metal in actual industrial wastewater reaches 71.9%-94.2%, and the material shows good application potential.

The invention relates to the technical field of heavy metal detection, in particular to a method and a system for rapidly detecting heavy metals in traditional Chinese medicinal materials, and the method comprises the following steps: respectively collecting X-ray fluorescence spectrum curves of to-be-detected honeysuckle and a honeysuckle sample, and sequentially recording the X-ray fluorescence spectrum curves as a to-be-detected spectrum curve and a standard spectrum curve; determining a peak position difference and a contour difference of each characteristic peak in the spectrum curve to be measured; obtaining the peak shape variation degree of each characteristic peak in the spectrum curve to be measured; determining the peak bottom energy difference of each characteristic peak in the spectrum curve to be measured; obtaining an abnormal correction coefficient of each characteristic peak in the spectrum curve to be measured; obtaining the difference between the measured value of the heavy metal content in the honeysuckle with the known heavy metal content and the real value, recording the difference as the measurement difference, and determining the actual content of each heavy metal element in the honeysuckle to be measured based on the correlation between the measurement difference and the abnormal correction coefficient. Therefore, the accuracy of measuring the content of the heavy metal elements in the to-be-measured honeysuckle is improved.

The invention relates to the technical field of ceramic materials, in particular to high-corrosion-resistance environment-friendly ceramic and a preparation method of the high-corrosion-resistance environment-friendly ceramic. 20 to 22 percent of Al2O3; 4 to 6 percent of Fe2O3; 2.0 to 3.5 percent of CaO; 0.5 to 1.0 percent of MgO; 0.8% to 1.2% of K2O and Na2O; sO3: less than or equal to 0.03%; pb + Cd + Cr < 6 + >: < = 2 ppm; the balance is impurities. According to the scheme, the craft ceramic can be prepared from the tailings, meanwhile, residues such as the heavy metal content are strictly controlled, components are controlled to be stable, and therefore unification of high corrosion resistance and environmental friendliness is achieved.

The invention relates to the technical field of heavy metal recovery, in particular to a method for recovering heavy metal from metal waste. Comprising the following steps: preparing silicon-tungsten composite acid salt; preparing heteropolyacid powder; preparing a resin heteropolyacid composite material; heavy metals are recovered from metal wastes by a resin adsorption method. The silicon-tungsten composite acid salt is prepared under mild conditions through reaction of sodium metasilicate, sodium tungstate and potassium chloride, the operation is simple, the conditions are easy to control, the silicon-tungsten composite acid salt has rich active sites and a large specific surface area, the surface of the silicon-tungsten composite acid salt carries negative charges, and the surface of the silicon-tungsten composite acid salt is not prone to damage. Compared with a traditional chemical precipitation method, the method for extracting the heavy metal by using the silicon-tungsten composite acid salt does not need to add a large number of chemical reagents, and secondary pollution is reduced.

The invention provides an in-situ curing and repairing method for heavy metals in river sediment. The in-situ curing and repairing method comprises the following steps: S1, detecting the content and physicochemical properties of the heavy metals in the river sediment; s2, designing a repair material formula; s3, preparing and putting a repairing material; s4, mixing and stirring the bottom mud and the repairing material; s5, monitoring and evaluating the repairing effect; and S6, repairing effect feedback and adjustment. According to the method, multiple linear regression, curved surface fitting, self-organizing mapping and mixed density network algorithms are fused, the sediment heavy metal content and physicochemical property data are fully utilized, a repair material formula can be accurately designed, and compared with a traditional single algorithm or empirical formula design, the repair material proportion can better fit the actual pollution condition, and the repair efficiency is improved. The utilization rate of repair materials is improved.

A method of removing a contaminant from water may include contacting contaminated water, including a heavy metal and / or an organic pollutant, with a nanocomposite including graphitic C3N4, MnO2, and MgAl2O4 in a mass relationship to each other in a range of from 5 to 15:2 to 7:75 to 95, thereby adsorbing the heavy metal and / or the organic pollutant onto the nanocomposite, as an adsorbed material. The method may further include removing the adsorbed material from the contaminated water, thereby reducing a concentration of the heavy metal in the contaminated water by at least 2 percent by weight (wt. %), the heavy metal may include Cd, Cr, Cu, Fe, Pb, Ni, Ag, Zn, and / or U, and the organic pollutant may include a dye.

The invention discloses a quantitative analysis method for heavy metals in soil, which comprises the following steps: dividing a high-difference region and a low-difference region according to the difference significance of the heavy metal concentration between in-situ spectral data and a pollution source distance, and carrying out scattering correction on the characteristic peak of the in-situ spectral data in the high-difference region by using the scattering characteristic of a heavy metal spectrum; reversely simulating heavy metal scattering artifacts according to the scattering correction spectrum and the in-situ spectrum data of the low-difference region, performing artifact repair through Mie scattering constraint based on the simulated heavy metal scattering artifacts, and performing bilinear interpolation based on spectral characteristics of an artifact repair spectrum in a detection region. And inputting the interpolated heavy metal spectrum distribution grid and heavy metal concentration into a multilayer perceptron quantitative model to obtain a heavy metal quantitative result and a heavy metal distribution result. According to the method, the accuracy of heavy metal detection and the interpretability of heavy metal distribution are improved by carrying out scattering correction and artifact repair on spectral data of a detection area.

The invention discloses a comprehensive recovery method for copper-nickel concentrate, which comprises the following steps: smelting the copper-nickel concentrate to obtain smelting slag and high-nickel copper matte which are layered up and down; performing side-blowing converting on the air-quenched and granulated high-nickel copper matte to obtain high-nickel converting slag which is layered up and down and qualified crude copper; the liquid smelting slag and the high-nickel converting slag are mixed for two-step reduction smelting, iron slag and copper-nickel alloy which are layered up and down are obtained through weak reduction, and reducing slag and molten iron which are layered up and down are obtained through strong reduction. According to the method disclosed by the invention, one-step removal of the Ni element is realized through side-blowing reinforced stirring of the granulated copper matte, so that application of the high-nickel copper concentrate to large-scale continuous copper smelting becomes possible. And meanwhile, through cooperative treatment of the smelting slag and the converting slag, short-process comprehensive recovery of Cu, Ni and Fe elements is achieved. The deeply depleted tailings are subjected to water quenching to form a calcium-silicon glass body which has a curing effect on heavy metal ions and is a high-quality building raw material, high-valued and full-quality utilization of mineral resources is realized, and the method is a brand-new technical route for widening the application range of raw materials, reducing cost and improving efficiency in a copper smelting plant.

The invention provides a method and system for analyzing the content of heavy metal elements in soil based on XRF, and particularly relates to the technical field of data process.The scheme includes the steps that XRF spectrogram data of a to-be-detected soil sample is collected; based on the XRF spectrogram data, determining a plurality of target heavy metal elements contained in the to-be-detected soil sample; detecting the XRF spectrogram data by using a trained heavy metal element detection model, and determining a detection result of the content of each target heavy metal element, the trained heavy metal element detection model being constructed based on a preset machine learning model, and training by using a data characteristic sample related to the content of the heavy metal element in a standard soil sample. According to the scheme, the detection precision of the content of each target heavy metal element in the target soil sample can be effectively improved.

The invention relates to a detoxification method for simultaneously removing dioxin and heavy metal in waste incineration fly ash, which comprises the following steps of: pretreating fly ash and simultaneously removing dioxin and heavy metal in fly ash, namely, removing sodium salt and potassium salt in fly ash by adopting an immersion cleaning mode; the method comprises the following steps: pre-treating fly ash to avoid reducing the curing capacity of a sintering product formed by high-temperature sintering of the fly ash on heavy metals, separating the pre-treated fly ash to obtain a solid phase, mixing the solid phase with magnesium salt and / or calcium salt, and carrying out high-temperature roasting, so that chlorine decomposed by dioxin in the fly ash reacts with the heavy metals to form gaseous heavy metal chloride to remove the heavy metals in the fly ash; in the high-temperature roasting process, the magnesium salt and / or the calcium salt and ash in the fly ash form calcium silicate and / or magnesium silicate under high-temperature reaction, so that the curing capacity of crystal lattices in a fly ash sintering product is enhanced. After the waste incineration fly ash is subjected to detoxification treatment by adopting the method, heavy metals Hg, Pb, Cd, Cu and Ni are not detected in the fly ash leachate, so that the leaching risk of the heavy metals remained in the fly ash can be obviously reduced.

The embodiment of the invention discloses an intelligent linkage automatic control method for fly ash stabilization, and relates to the technical field of solid waste treatment. The method comprises the following steps: step S101, acquiring the content of heavy metals in fly ash detected in real time; step S102, based on the detection data, automatically calculating the ratio of the chelating agent stock solution to the process water / concentrated water through a preset algorithm; s103, controlling a fly ash weighing system, a solution weighing system and a mixing mill system according to the ratio of the chelating agent stock solution to the process water / concentrated water; wherein the step S102 comprises the following steps: determining a dynamic water-cement ratio; solution concentration is automatically switched according to a water source; and calculating the amount of the chelating agent stock solution and the water amount according to mass conservation. According to the embodiment of the invention, through multi-element dynamic proportioning, full-process intelligent linkage, equipment fault self-healing and unqualified product closed-loop treatment, the problems of low stabilization efficiency, agent waste and insufficient reliability in the prior art can be solved.

The invention relates to a water quality heavy metal rapid analysis method and system.The analysis method comprises the steps that an actual water quality sample is tested through anodic stripping voltammetry to obtain an electric sensing signal corresponding to the content of heavy metal in the sample; and processing and analyzing the obtained electric sensing signal to obtain a corresponding result of the concentration of the heavy metal in the water quality sample and the electric sensing signal, namely performing qualitative analysis, analyzing the signal, determining the type of the heavy metal according to a dissolution peak position, and determining the concentration of the heavy metal according to the dissolution peak position. According to a pre-trained qualitative recognition model, the type of a working electrode of an electric sensing signal source is determined, then a corresponding pre-trained quantitative regression model is selected based on the type of the working electrode and the type of the heavy metal, and the concentration of the heavy metal in a sample is accurately and quantitatively analyzed. Compared with the prior art, the method has the advantages that chemical-free quantitative analysis is realized through a rapid quantitative analysis technology, the detection process is simplified, the generation of waste liquid is reduced, and the problem of secondary environmental pollution is effectively avoided.

The invention belongs to the technical field of dangerous solid waste resource utilization, and relates to a method and a system for washing, decontaminating and preserving calcium of fly ash through carbonation coupling ultrasonic two-stage pretreatment. The method comprises the following steps: exposing fly ash in air to carry out natural carbonation pretreatment until the pH value of the fly ash is not higher than 9 to obtain a pretreated product; mixing the pretreated product with an NH4HSO4 solution, carrying out ultrasonic pretreatment, and then stirring and washing with water; according to the method, deep dechlorination of the fly ash is achieved, the problem that heavy metal leaching exceeds the standard is effectively solved, the Ca component in the fly ash is reserved to a great extent, and the dual purposes of effective pollution control and efficient resource reservation are achieved.

The invention relates to the technical field of heavy metal detection, and discloses a soil detection, analysis and determination method and system for heavy metal detection, the soil detection, analysis and determination method for heavy metal detection comprises the following steps: step S101, collecting hyperspectral data; step S102, correcting the hyperspectral data to obtain standby hyperspectral data; step S103, constructing a feature vector; step S104, training the first measurement model and the second measurement model; step S105, obtaining a soil deep heavy metal content measurement value by combining the first measurement model and the second measurement model with an error control strategy; according to the invention, the hyperspectral data is corrected according to the soil moisture content and the vegetation coverage coefficient, the conductivity data and the corrected hyperspectral data are combined for measurement through the first measurement model and the second measurement model, and the measurement result is optimized by using an error control strategy, so that the measurement precision is improved, and the measurement accuracy is improved. And real-time and large-area determination of the heavy metal content in the deep soil is realized.

The mining area tailing grading filling system is composed of a tailing collecting device, a grading module, a filling slurry preparing module, a conveying module and a filling module and is designed according to the characteristics that tailings of lead-zinc-silver ore and copper-tin-silver-zinc ore contain heavy metal and are complex in particle size. A heavy metal adsorption layer is arranged at the bottom of a collection pool of the tailings collection device, and a sulfide adsorbent is adopted, so that heavy metal ions such as lead, zinc and copper in the tailings can be effectively adsorbed; a cyclone of the grading module is made of a corrosion-resistant material, erosion of chemical substances in the tailings is prevented, the tailings are accurately graded, and grading of filling materials is optimized; the tailings with different particle sizes are accurately separated according to the characteristics of the tailings of the lead-zinc-silver ore and the copper-tin-silver-zinc ore by using the cyclone and multi-layer vibrating screen combined grading equipment; equipment parameters are adjusted to accurately control the granularity of the tailings, so that reasonable grading raw materials are provided for preparation of filling slurry, and the compactness and the stability of a filling body are improved.

The invention relates to the technical field of food detection equipment, in particular to a food processing heavy metal detection device and method. According to the technical scheme, the atomic absorption spectrometer comprises an atomic absorption spectrometer body and reagent bottles arranged in a straight line, the atomic absorption spectrometer body is provided with a conveying pipe for conveying reagents in the reagent bottles, and the atomic absorption spectrometer further comprises a drawer groove formed in the bottom of the atomic absorption spectrometer body. Through the design of the structures of the atomic absorption spectrometer body, the clamping seat mechanism, the transmission mechanism, the clamping rod mechanism and the like, the falling risk caused by careless touch of the reagent bottle is avoided, the reagent bottle and laboratory equipment are protected, the risk of reagent leakage is reduced, and the safety and accuracy of experimental operation are ensured. And a plurality of reagent bottles in the supporting pulling block move in a reciprocating manner in order, so that the reagent bottles are prevented from being disordered or mistakenly poured during use, the taking process is optimized, the operation time and errors are reduced, and the smoothness of the whole workflow is improved.

The invention belongs to the technical field of heavy metal soil pollution remediation, and particularly relates to a heavy metal tolerant bacterial strain and application thereof, the bacterial strain is named as Proteus mirabilis D2 and has been preserved in Guangdong Microbial Culture Collection Center on December 04, 2024, and the preservation number is GDMCC No: 65293. According to the invention, effective reduction of biotoxicity of culturable proteus mirabilis (P.mirabilis D2) with heavy metal tolerance and MICP functions on soil polluted by high cadmium, lead and zinc is realized, and corresponding parameters of technical application are determined.

The invention belongs to the technical field of heavy metal treatment, and particularly relates to a synthesis method and application of a sludge biochar Schwertmannite composite material capable of synchronously mineralizing cadmium and arsenic. Municipal or industrial sludge is used as a raw material, sludge biochar rich in Ca, Fe and alkaline functional groups is prepared through pyrolysis, then the sludge biochar is deeply compounded with Schwertmannite through a high-energy ball milling technology, a core-shell-like nested structure is formed through induction, and a large number of reaction sites are exposed. Under the condition that As / Cd coexists, the surface of the composite material can be induced to generate stable minerals, a synchronous precipitation mechanism is formed, and As and Cd have an adsorption synergistic enhancement effect. The process is wide in raw material source, clean and efficient in preparation process and free of high-temperature hydrothermal or organic reagents, has cation exchangeability, alkali energy storage and carbon immobilization value, provides a new theory and material support for long-term environment immobilization of multi-metal pollutants, and has large-scale application potential.

The invention relates to the technical field of underground water, in particular to an underground water pollution source analysis and risk assessment method and system.The method comprises the following steps that monitoring points are arranged in a potential underground water affected area, water samples are collected, and organic pollutants, heavy metal content and microbial metabolites in the water samples are analyzed; collecting the characteristic spectrum data of the pollutants, and carrying out normalization processing to obtain a pollutant spectrum characteristic set; according to the method, the organic pollutants, the heavy metals and the microbial metabolites in the water sample are analyzed by using a liquid chromatography-mass spectrometry technology, accurate detection of the trace pollutants is realized, the data standardization level is improved through normalization processing of the pollutant spectral feature set, cross-regional data comparison and analysis are facilitated, and the detection accuracy is improved. The pollution source can be quickly identified through automatic data comparison, errors are reduced, the response speed is increased, and detailed analysis of spatial distribution data provides a comprehensive pollution diffusion picture, so that risk assessment is more comprehensive.

The invention relates to the technical field of heavy metal detection, and discloses a device and method for collecting heavy metal particles in waste gas, and the method comprises the following steps: introducing the waste gas into a detection area based on an induced draft fan, collecting the air inlet rate of unit time at the inlet of the induced draft fan, and starting a rotating assembly arranged in the detection area; the initial rotating speed of the rotating assembly is determined according to the air inlet amount, air flowing speeds at multiple positions in the detection area are collected, the distribution condition of waste gas in the detection area is judged according to the air flowing speeds, and whether the initial rotating speed is adjusted or not is judged according to the distribution condition; putting the bipolar electrostatic rod into a detection area, and determining the collection frequency of the bipolar electrostatic rod according to the particulate matter concentration in the detection area; the heavy metal concentration is obtained according to the content of multiple groups of heavy metal particles after collection. The problem that the detection precision is influenced by uneven airflow in a traditional method is solved, and the waste gas heavy metal particle collection efficiency and the detection accuracy are improved.