672 results about "Heavy metals" patented technology

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 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 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 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.

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 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 discloses an efficient lithium slag solidification and stabilization agent and a preparation method thereof. The efficient lithium slag solidification and stabilization agent comprises the following raw materials in parts by weight: 20-50 parts of lithium slag, 5-10 parts of carbide slag, 8-12 parts of nano silicate, 6-12 parts of slag powder, 3-6 parts of hydroxyapatite, 2-5 parts of bentonite, 4-8 parts of fly ash and 1-3 parts of aluminum sulfate. The method disclosed by the invention has the advantage of environmental protection, and solves the problems that when the existing lithium slag is recycled, the lithium slag is inconvenient to solidify and stabilize, the lithium slag often contains heavy metals, and if the lithium slag is not fixed in a lattice structure through solidification and stabilization technologies, the heavy metals can be leached along with rainwater to enter soil and water, and long-term ecological pollution is caused.

The present application belongs to the technical field of nanometer material, and discloses a kind of sheet porous nanometer zinc oxide and its preparation method and application.The present application first prepares basic zinc carbonate precursor, then nitrogen is passed into, the pressure of system is >0.4MPa and <0.6MPa, hydrothermal reaction is carried out, and the reaction product is calcined, and sheet porous nanometer zinc oxide is prepared.The sheet porous nanometer zinc oxide prepared by the method of the present application has uniform and regular sheet porous structure, the holes on the sheet are uniform and regular, dense, small in particle size, large in specific surface area, and can be widely applied in the degradation of organic pollutants in photocatalytic system and the field of heavy metal adsorption.The preparation method of the present application can obtain raw materials easily and can be mass-produced.

The invention provides an impurity removal method of a gallium-rich solution for a gallium-based fluorescent powder precursor, and belongs to the field of preparation of gallium-based fluorescent powder precursors. The method comprises the following steps: adding an oxidizing agent into an initial gallium-rich solution to carry out a first reaction so as to remove organic impurities in the initial gallium-rich solution and obtain a first gallium-rich solution; adding a composite impurity removal reagent into the first gallium-rich solution to carry out a second reaction to remove impurity elements such as calcium, silicon and vanadium in the first gallium-rich solution so as to obtain a second gallium-rich solution; and adding a sulfide type reagent into the second gallium-rich solution to carry out a third reaction so as to remove copper and iron impurity elements in the second gallium-rich solution, thereby obtaining the gallium-rich solution for the gallium-based fluorescent powder precursor. According to the method, various key impurity elements such as organic matters, alkaline earth metals, metalloids and heavy metals are directionally and efficiently removed through the impurity removal logic of oxidation impurity breaking, synergistic precipitation and deep vulcanization, so that the total content of the key impurity elements in the gallium-rich solution is remarkably reduced.

The invention provides a gold ore phase analysis method, and belongs to the field of mineral analys.The gold ore phase analysis method comprises the steps that a gold ore sample is prepared into ore pulp, the pH value is adjusted to 10-11, ultrasonic cavitation treatment is conducted after polyethylene glycol is added, and limonite turbid liquid and sedimentation bottom mud are obtained through separation; the turbid liquid is subjected to flocculation precipitation, drying, roasting, acid dissolution and impurity removal, and the limonite gold-loaded grade is obtained through the mass difference before and after dissolution and gold concentration determination; separating metal sulfide ore heavy minerals and gangue minerals from the settled bottom mud through artificial heavy elutriation, performing acid dissolution and impurity removal on the metal sulfide heavy minerals, and calculating the gold loading grade of the metal sulfide heavy minerals through mass difference and gold concentration determination; after gangue minerals are subjected to oxidizing roasting, the gold content is measured after concentrated acid dissolution; and calculating the distribution rate of gold based on the result. The gold loading grade and distribution of the limonite phase, the metal sulfide ore phase and the gangue mineral phase are measured in a split-phase mode, the method is highly matched with the gold ore development process, operation is easy and convenient, the result is reliable, and beneficiation and metallurgy technological process formulation and technical index pre-judgment can be effectively served.

The invention relates to the technical field of traditional Chinese medicinal materials, in particular to a method for risk assessment of heavy metals in traditional Chinese medicinal materials. According to the method, heavy metal content data of a traditional Chinese medicine sample is acquired and preprocessed to establish an evaluation model comprising a risk grading module and a comprehensive risk scoring module, and human body exposure is calculated by considering factors such as use frequency, exposure age limit, daily dose and transfer rate of traditional Chinese medicine; and comparing the exposure quantity with a preset health reference value to obtain a single heavy metal risk index, performing weighted calculation by combining the single heavy metal risk index with traditional Chinese medicinal material characteristic parameters (clinical use frequency, average prescription dosage, decoction extraction mode, use crowd range and medicinal part) to obtain a comprehensive risk score, and performing five-level risk grade division and evaluation report generation based on the score. The method breaks through the limitation of traditional binary evaluation, establishes a multi-dimensional risk evaluation system, considers the synergistic effect between heavy metals and the characteristic influence of traditional Chinese medicines, and provides important technical support for guaranteeing the use safety of traditional Chinese medicines and the healthy development of the traditional Chinese medicine industry.

The invention provides a biochar-zero-valent iron enhanced bentonite-based vertical barrier material for combined polluted underground water, which comprises sodium modified calcium bentonite and sandy soil, and also comprises biochar and slow-release zero-valent iron particles, and the slow-release zero-valent iron particles are formed by mixing and stirring micron-sized zero-valent iron and sodium alginate. Related preparation methods and uses are also provided. The anti-seepage performance of the biochar-zero-valent iron enhanced bentonite-based vertical barrier material for combined polluted underground water meets the anti-seepage requirement that the permeability coefficient is lower than 10 <-9 > cm / s under the stress of heavy metal, chlorinated hydrocarbon and micro-plastic combined polluted underground water, heavy metal can be effectively reduced and precipitated, chlorinated hydrocarbon is dechlorinated, and micro-plastic is adsorbed; therefore, the concentration of composite pollutants in underground water is reduced, and the long-acting performance of the vertical barrier material is improved.

The invention discloses ZrMn and peanut shell biochar as well as a preparation method and application thereof in adsorption of heavy metal cadmium. The biochar is obtained by loading zirconium oxide and manganese oxide on peanut shell biochar. Compared with a traditional adsorbent, the zirconium and manganese mixed modified biochar has a better removal effect on heavy metals, namely cadmium, Pb and Cu, and can be used for removing the heavy metals in multiple directions. Moreover, after the ZrMn and peanut shell biochar adsorbs heavy metals, the adsorption performance of the ZrMn and peanut shell biochar can be recovered through proper regeneration treatment, and compared with some disposable adsorbents, the ZrMn and peanut shell biochar has higher recoverability and reutilization potential.

The invention discloses a system for detecting and analyzing water-soluble heavy metals in an ecological system based on machine learning. The system is used for detecting water-soluble harmful heavy metal elements in atmospheric particulates. The system comprises a sampling preprocessing module, an electrochemical detection module, a machine learning analysis module and a data verification output module which are connected in sequence, the sampling pretreatment module is used for collecting PM2.5 and PM10 particles by adopting a quartz fiber filter membrane and carrying out dissolving and filtering pretreatment; the electrochemical detection module is used for heavy metal enrichment and detection; the machine learning analysis module adopts an improved CNN (Convolutional Neural Network) to automatically identify the volt-ampere spectrogram, and establishes a nonlinear mapping model of the relationship between the metal ion concentration and the peak current; and the data verification output module performs quantitative analysis by adopting a standard addition method, and compares and identifies the pollution source through a multi-element fingerprint feature database. According to the invention, eight heavy metal elements such as Cd, V, Cr, Ni, Se, As, Mn and Pb can be detected at the same time, the detection range is 0.1-1000 [mu] g / L, and intelligence and automation of heavy metal detection are realized.

The invention provides a method for estimating atmospheric heavy metal environmental capacity. The method comprises the following steps: acquiring basic topographic and meteorological data of a to-be-estimated target area; determining an atmospheric heavy metal emission scheme; obtaining the day-by-day grid-by-grid heavy metal concentration of the target area in the simulation year by adopting an air quality model; and calculating to obtain a non-carcinogenic risk quotient value and a carcinogenic risk quotient value, comparing with 1 to judge whether an atmospheric heavy metal emission scheme needs to be adjusted, and obtaining the atmospheric heavy metal environmental capacity of the emission source arrangement position until the non-carcinogenic risk quotient value or the carcinogenic risk quotient value is less than 1. According to the method, pollutant types are expanded from fine particulate matters and precursors thereof to atmospheric heavy metals, constraint based on pollutant concentration is promoted to constraint of crowd health, and a reasonable environmental capacity result is obtained by utilizing iterative calculation. According to the invention, the goal of atmospheric environmental pollution prevention and control work is improved from improvement of air quality to reduction of crowd health risks, and technical support is provided for cooperative emission reduction work of various pollutants.

The invention discloses a construction method and application of an SERS (Surface Enhanced Raman Scattering) sensor for detecting Mn < 7 + >. Belongs to the field of detection application, and the construction method of the SERS sensor for detecting Mn < 7 + > comprises the following steps: uniformly mixing an ABTS solution, a to-be-detected solution containing Mn < 7 + > and a silver nanoparticle solution, adding an acid solution to adjust the pH value of a reaction system, and reacting for 1-3 minutes. The SERS sensor for detecting Mn < 7 + > is applied to detection of heavy metal Mn < 7 + >. According to the method disclosed by the invention, by virtue of specific selection of the ABTS on Mn < 7 + > and addition of silver which has extremely high characteristics on SERS detection, convenient and rapid trace detection on Mn < 7 + > is realized. The selective reaction material explored by the invention is used for trace detection of heavy metal Mn < 7 + > by utilizing an SERS technology, and has important significance in application to actual life.

This invention relates to a detoxification method for simultaneously removing dioxins and heavy metals from waste incineration fly ash. The method includes fly ash pretreatment and simultaneous removal of dioxins and heavy metals. First, sodium and potassium salts are removed from the fly ash by immersion washing to avoid reducing the ability of the sintered products formed during high-temperature sintering to solidify heavy metals. Then, the pretreated fly ash is separated to obtain a solid phase, which is mixed with magnesium and / or calcium salts and subjected to high-temperature roasting. This allows the chlorine from the decomposition of dioxins in the fly ash to react with the heavy metals to form gaseous heavy metal chlorides, thus removing the heavy metals from the fly ash. During the high-temperature roasting process, the magnesium and / or calcium salts react with the ash in the fly ash to form calcium silicate and / or magnesium silicate, enhancing the solidification ability of the internal lattice of the fly ash sintered products. After detoxification treatment of waste incineration fly ash using this method, no heavy metals Hg, Pb, Cd, Cu, and Ni were detected in the fly ash leachate, significantly reducing the leaching risk of residual heavy metals in the fly ash.

The invention discloses a drainage basin heavy metal migration path identification method and system, and relates to the field of heavy metal detection, and the system comprises an unmanned aerial vehicle module which is used for sneaking in a drainage basin according to a preset path, and collecting the heavy metal content information in the sneaking process; the storage module is used for receiving the heavy metal content information collected by the operation of the unmanned aerial vehicle module in real time and storing the heavy metal content information; the branch decision tendency value is calculated based on multiple groups of near-node heavy metal data to select the sneaking direction, the migration path identification pertinence is improved, the risk is primarily judged through the maximum value of the single type of heavy metal during evaluation, then accurate judgment is performed through the characterization value, and the risk evaluation accuracy is ensured.

The application discloses a preparation method of layered double hydroxide based on waste incineration fly ash, and comprises the following steps: S1, waste incineration fly ash and leaching solution are added into a mixing container according to a liquid-solid ratio (3-15):1, and leaching is carried out after sufficient mixing, and then a filtrate is obtained after filtration; S2, an aluminum-containing reagent is added into the filtrate obtained in S1, so that the ratio of divalent cations to trivalent cations in the solution is (1.5-2.5):1, the pH range of the solution is adjusted to 10-12, and a mixed suspension is obtained after sufficient stirring; S3, the mixed suspension obtained in S2 is poured into a hydrothermal reaction kettle, and is aged and crystallized through hydrothermal reaction; and S4, the mixed solution after crystallization and aging in S3 is filtered, washed with water, and dried, so that the obtained solid is the layered double hydroxide. The method has the advantages of simple process, easy realization, low requirement on equipment, and universality, can be used for synergistic treatment of other aluminum-containing waste liquid, and the product can be used for heavy metal adsorption, so that the waste incineration fly ash can be fully utilized.

The invention belongs to the technical field of dangerous solid waste treatment, and relates to a cascade deep detoxification method and system for waste incineration fly ash. Comprising the following steps: carrying out natural carbonation pretreatment on the fly ash to stabilize the pH value of the fly ash to be about neutral so as to obtain pretreated fly ash; carrying out primary washing on the pretreated fly ash by adopting an EDTA (Ethylene Diamine Tetraacetic Acid) solution, and carrying out solid-liquid separation to obtain primary washing slag; wherein the residual heavy metals in the first-stage washing slag obtained by the first-stage washing are mainly distributed in a weak acid extraction state; and carrying out second-stage washing on the first-stage washing slag by adopting an acetic acid solution. The method provided by the invention synergistically realizes deep and efficient removal of heavy metals in fly ash, and the final product meets safe disposal or resource utilization standards.

The invention relates to sludge-based nano biochar as well as a preparation method and application thereof. The preparation method comprises the following steps: preparing iron-containing excess sludge into a suspension, adjusting the pH value to 2-8, heating and hydrolyzing at 40-150 DEG C, collecting solids, drying and grinding to obtain sludge fine powder; calcining in an N2 atmosphere to obtain charcoal powder; the charcoal powder is subjected to acid pickling, and acidified charcoal is obtained; mixing and reacting with hydrogen peroxide in proportion, centrifuging to take supernate, and filtering to obtain a nano biochar solution; and purifying and drying the nano-biochar solution to prepare nano-biochar powder. The particle size of the nano biochar is 1t; the molar percentage content of the oxygen element is 15%-50%; the width of lattice fringes is 0.22 nm, and the total content of heavy metals is lower than 0.05%. The sludge-based nano biochar provided by the invention has good conductivity, oxidation-reduction property and low biotoxicity, and can simultaneously accelerate the extracellular electron transfer effect and intracellular electron transfer rate of microorganisms and improve the biological denitrification efficiency.

The invention provides a water pollution real-time detection and early warning method based on self-adaptive spectral feature fusion, relates to the technical field of environmental monitoring, and aims at spectral data of different incident angles through a self-adaptive segmented spectral enhancement algorithm, a feature enhancement strategy is dynamically adjusted, complementarity of multi-angle spectral information is effectively mined, and the real-time detection and early warning of water pollution are realized. Therefore, the precision and the anti-interference capability of heavy metal ion concentration detection are remarkably improved. And the heavy metal recognition model carries out accurate correction on the spectrum superposition effect and matrix interference in the heavy metal mixed system through the spectrum interference suppression factor, so that the robustness and reliability of concentration detection are further improved. Rapid detection and real-time early warning of pollutant concentration are realized, and the problem of low detection precision caused by mutual interference of spectral characteristics of mixed pollutants of heavy metal ions (especially chromium ions and nickel ions) in industrial wastewater can be solved to a certain extent.

The invention relates to the technical field of water treatment, and discloses an impurity removal method for a water matrix standard substance, which comprises the following steps: sequentially pretreating a water matrix to be treated; carrying out electrochemical catalytic oxidation on the pretreated water matrix flow under the action of pulse square wave current; carrying out photocatalytic treatment on the water matrix subjected to electrochemical oxidation under multi-band illumination; gradient separation of volatile and non-volatile impurities of the water matrix after photocatalysis treatment is realized; in an inert atmosphere environment, adding a composite stabilizer into the water matrix subjected to membrane separation, and packaging and sealing; organic carbon, heavy metal and biological activity indexes are monitored in real time through a multispectral coupling technique, and process parameters are dynamically optimized based on a deep reinforcement learning model. The method provided by the invention realizes efficient removal and long-term stable preservation of trace impurities in the water matrix standard substance, and is suitable for the fields of environmental monitoring and chemical analysis.

The invention relates to Burkholderia orbicola and application thereof, the Burkholderia orbicola is preserved in Guangdong Microbiological Culture Collection Center on September 4, 2025, the preservation number is GDMCC No: 66914, and the Burkholderia orbicola is classified and named as Burkholderia orbicola. The composite material has high tolerance to copper, lead and cadmium, the adsorption rate to copper can reach 44.59% in 24 h, the adsorption rate to lead can reach 98.71%, and the adsorption rate to cadmium can reach 48.39%. Therefore, the adsorbent can be used for resisting stress of heavy metals and adsorbing and removing copper, lead and cadmium pollution.

The invention discloses an ecological restoration matrix for a mining area as well as a preparation method and application of the ecological restoration matrix. The ecological restoration matrix for the mining area comprises the following components in parts by weight: 30-50 parts of modified coal gangue, 20-35 parts of decomposed straws, 10-20 parts of bentonite, 8-15 parts of zeolite powder, 5-12 parts of charcoal, 0.5-2.0 parts of a compound microbial agent, 1-3 parts of a water-retaining agent and 0.3-1.0 part of an organic acid chelating agent. The invention further discloses a preparation method and application of the ecological restoration matrix for the mining area. The ecological restoration matrix for the mining area realizes balance of heavy metal passivation and plant nutrient absorption, unification of physical structure stability and water retention and air permeability, and coordination of rapid soil formation and long-term sustainability. The method is simple in process, low in cost and suitable for industrial application.

The invention belongs to the technical field of biology, and relates to a heavy metal tolerant sphingomonas strain 1PPS-Zn1 and application thereof, the heavy metal tolerant sphingomonas strain 1PPS-Zn1 is preserved in China Center for Type Culture Collection on March 20, 2025, the preservation number is CCTCC NO: M 2025544, the sphingomonas strain 1PPS-Zn1 can adsorb and tolerate high-concentration zinc, the highest tolerable concentration reaches 80 mmol / L, and the sphingomonas strain 1PPS-Zn1 also has the capabilities of producing IAA, fixing nitrogen and promoting plant growth, and can be applied to the field of heavy metal tolerant plants. And the absorption, enrichment and transfer capabilities of the black nightshade to heavy metal zinc in the soil can be improved, finally, the remediation efficiency of the zinc-polluted soil is improved, a new way is provided for soil remediation and ecological environment remediation, and the method has wide development and application prospects.

The invention discloses a method for synchronously detecting multiple heavy metal ions in a water body, relates to a method for synchronously detecting multiple heavy metal ions in a water body, and belongs to the technical field of environmental monitoring. The problems of poor selectivity and organic interference during synchronous detection of multiple heavy metal ions are solved. According to the scheme, three heterojunction modification layers are constructed on a glassy carbon electrode to form a bionic photoelectric electrode; step-by-step photoelectric enrichment: 650nm laser is adopted,-0.6 V enables a middle layer to capture Cd < 2 + > and Pb < 2 + >, 532nm laser is adopted,-1.5 V pulse enables a surface layer to enrich Cu < 2 + > and Hg < 2 + >, and square waves repel organic matters; dissolution peaks are collected in different areas in differential pulse dissolution scanning, 12 keV X-ray excitation is synchronized, and quantification is performed only when the target ion characteristic dissolution peak potential is matched with the corresponding characteristic X-ray fluorescence signal at the same time. The method is used for synchronously and accurately detecting Cd < 2 + >, Pb < 2 + >, Cu < 2 + > and Hg

The application discloses a kind of ion exchange driven incineration fly ash short process wet treatment method, belong to solid waste treatment technical field.The method of the application includes the following steps: original incineration fly ash is mixed with leaching liquid NaCl or KCl solution according to 2~5 L / kg liquid-solid ratio, through high concentration Na + ,K + Competitive ion exchange with heavy metal ions, efficient leaching of heavy metals and soluble salt in fly ash;After solid-liquid separation, gradient dilution leaching is used to further remove residual soluble salt and heavy metal;Leaching waste liquid and leaching liquid are treated according to the concentration of heavy metals and salt, realizing salt recycling and recycling of heavy metal resources.The application can effectively remove more than 80% of soluble salt and heavy metal in fly ash, and the salt recycling rate is more than 85%, the process is short, the cost is low, and the environment is friendly, which provides an innovative solution for efficient and harmless treatment and resource utilization of fly ash.

The invention discloses a refining method of polydimethylsiloxane. The refining method comprises the following steps: fully mixing crude polydimethylsiloxane with a heavy metal composite adsorbent to form a suspension system; treating for 1-3 hours in a low-frequency-high-frequency alternating ultrasonic field and a critical temperature condition; tiny impurities are removed and peculiar smell is eliminated through primary filtering of the primary filter; and carrying out secondary filtration by using a polytetrafluoroethylene filter membrane to obtain the daily chemical grade polydimethylsiloxane. Compared with the prior art, the method disclosed by the invention has the beneficial effects that heavy metals such as lead, arsenic and cadmium are efficiently removed by combining a heavy metal composite adsorbent under the conditions of a low-frequency-high-frequency alternating ultrasonic field and a critical temperature, and tiny impurities, harmful ions and peculiar smell in a polydimethylsiloxane product are removed through primary filtration and secondary filtration; therefore, the quality meets the daily chemical grade requirement, and large-scale cleaning and replacement of existing equipment pipelines can be avoided.

The invention provides an inversion method for three-dimensional spatial distribution of heavy metal concentration in a high-vegetation-coverage mining area, and relates to the technical field of mining area heavy metal concentration prediction.The method comprises the steps that mixed interference in hyperspectral data is removed through vertical structure information in laser radar point cloud data of a target mining area; performing correlation analysis on the vegetation index characteristics and the actually measured vegetation heavy metal content, and selecting key vegetation index characteristics; selecting a key wave band from the spectral features by using a ReliefF algorithm; key vegetation index features are extracted from the key wave bands to serve as independent variables, the actually-measured vegetation heavy metal content serves as dependent variables, a regression model is constructed, importance scores of the independent variables are utilized, and optimized features are selected from the second features; and training a random forest model by using the optimized features to obtain predicted vegetation heavy metal distribution. According to the method, redundant features and noise in the data can be better processed, and inversion of the heavy metal element concentration of the stressed vegetation in a complex environment is achieved.