8634results about "Air quality improvement" patented technology

The invention provides a particulate matter and ozone source monitoring method and system based on a distributed sensor, and relates to the technical field of pollution treatment. According to the invention, sensor nodes with geographic perception capability are deployed in a monitoring area in a high-density manner, pollutant concentration and meteorological parameters are collected in real time, and data are uploaded to a cloud platform for preprocessing and dynamic calibration; a machine learning model is constructed based on the combined features of the pollutants and the meteorological factors, a driving relation is mined, and pollutant influence factors are extracted; further performing joint modeling on the influence factors and regional emission source data, identifying the coupling strength between pollutants and emission sources by adopting a classification or clustering method, and judging the categories of main sources; backward trajectory simulation, source fingerprint analysis and multi-source regression decomposition are combined to realize pollution path inversion and source contribution rate quantification; and finally, constructing a geographic information visualization platform, displaying a pollution thermodynamic diagram, a contribution change diagram and an evolution path diagram, and providing support for multi-source pollution traceability and scientific management and control.

A high-temperature environment ultraviolet flue gas analyzer, comprising a detection housing (1), wherein a moving assembly (2) is arranged below the detection housing (1), and a detection and analysis assembly (3) is arranged in the detection housing (1). An annular gas storage cavity (421) is divided into a plurality of gas storage spaces by means of a plurality of gas distribution partition plates (43), thereby implementing storage of multiple gas samples, achieving independent detection of gas samples, and implementing comparison of detection results. By means of opening / closing of electromagnetic valves on internal pipes, internal gas purification is realized, thereby improving detection accuracy, and preventing contamination of a gas to be detected caused by gas mixing. The gas is heated by means of a heating assembly (55) to evaporate moisture in the gas, thereby preventing condensation of water during storage or detection, and also avoiding detection result distortion caused by moisture exposure to internal detection devices. Angle adjustment of an air extraction pipe (53) is implemented by means of an angle adjustment assembly (57), such that the extraction angle can be adjusted at multiple angles according to requirements, thereby improving the extraction efficiency.

The invention relates to the field of pollution source analysis, and discloses a formaldehyde pollution source analysis and ozone influence quantification method and system for coupling a receptor model and a box-type model, and the method comprises the steps: collecting the concentration of formaldehyde and other pollutants in urban atmosphere in real time through online monitoring equipment, and carrying out abnormal value marking and data standardization processing; performing source analysis on the processed data based on a positive definite factor matrix method to generate a pollution source contribution matrix; converting the source contribution matrix into a molecular concentration input file which can be recognized by the box-type model; embedding a free radical circulation mechanism into the box-type model, and executing photochemical simulation under different pollution source scenes; and generating a pollution source contribution heat map based on a simulation result, and outputting management and control suggestions through a deep learning model. The method has the following effects: by coupling the receptor model and the box type model, not only can different pollution sources of formaldehyde be determined, but also the influence of each pollution source on ozone generation through photochemical reaction can be analyzed.

The invention relates to the technical field of environmental pollutant detection, in particular to a straw open-air incineration pollutant emission quantitative method based on multi-source data fusion, which comprises the following steps: based on air pollutant monitoring data, calling a sensor network to obtain PM2.5, CO and NOX concentrations, analyzing fire point heat radiation intensity, collecting meteorological data, and calculating the concentration of PM2.5, CO and NOX; and obtaining a pollution source data set by combining the time sequence change of the fire points and the meteorological parameters. By integrating an environment monitoring sensor, satellite remote sensing and ground meteorological data, the comprehensiveness and accuracy of pollution source monitoring are improved, the combination of fire point intensity and pollutant concentration time sequence data is optimized, the evaluation of fire point and pollution hot spot areas and the comprehensive analysis of wind directions and meteorological conditions are optimized, the accuracy of a pollutant diffusion model is improved, and the pollution source diffusion efficiency is improved. The pollutant release amount is dynamically adjusted, and the diffusion model is corrected by using a geographic information system, so that the scientificity of pollution prediction and emission intensity evaluation is enhanced, and more accurate pollution prevention and control decision support is provided.

The invention relates to the technical field of mining area pollution monitoring, and discloses an atmospheric pollution monitoring system based on a mining area and a monitoring method thereof.The atmospheric pollution monitoring system based on the mining area comprises the steps that firstly, geographic environment data, outdoor environment data and well area environment data are obtained through a network deployment module and stored; the real-time transmission module is used for preprocessing the acquired data and transmitting the preprocessed data to the comprehensive analysis module, and the comprehensive analysis module is used for analyzing the atmospheric pollution index, judging whether to send out pollution early warning or not according to the calculation result of the atmospheric pollution index, and sending out a pollution alarm signal under the condition that the pollution early warning needs to be sent out; the mining area air pollution monitoring system can comprehensively monitor the mining area air pollution in a multi-dimensional manner, accurately identify the main pollution source and the dynamic change of the main pollution source, break through the limitation of traditional fixed site monitoring, flexibly capture the spatial and temporal change of the mining area pollution, accurately identify the pollution source, improve the monitoring accuracy and improve the monitoring efficiency. And an alarm signal is sent timely.

The invention relates to the technical field of ozone precursor traceability, in particular to an ozone precursor collaborative traceability method and system based on a knowledge graph, and the method comprises the following steps: obtaining precursor concentration change, recognizing an abnormal path, extracting path characteristics, carrying out standardized scoring, adjusting graph connection strength, and analyzing sequence offset to obtain collaborative nodes. And screening origin nodes in combination with time sequence meteorology to generate an origin node list. According to the method, pollution response channels are identified through precursor node concentration changes and path connection relations, focusing of key paths is enhanced, paths are scored based on multi-dimensional indexes, connection attributes are dynamically adjusted in combination with monitoring period ozone response intensity, map structure updating is achieved, and concentration response sequence offset is analyzed; according to the method, nodes with co-evolution characteristics are screened, the stable relation identification capability is improved, the path reasonability is evaluated by combining a release time sequence and meteorological conditions, the initial source positioning accuracy is improved, and the response speed and the identification precision of precursor tracing are integrally enhanced.

The invention provides an ozone pollution tracing method and device, computer equipment and a storage medium, and belongs to the field of environment monitoring, and the method comprises the steps: obtaining the concentration data of volatile organic pollutants in a target area; performing positive definite matrix factorization on the concentration data to obtain a component spectrum matrix and a contribution matrix of each pollution source, and matching the component spectrum matrix and the contribution matrix based on a preset pollution source; respectively carrying out one-by-one reduction simulation on each pollution source, calculating the ozone net generation rate after reduction of different pollution sources, and calculating the relative increment reaction activity coefficient of ozone after reduction of a single pollution source; according to the pollutant concentration and the relative increment reaction activity coefficient corresponding to different pollution sources, calculating the contribution rate of each pollution source to ozone generation, and taking the pollution source with the maximum contribution rate as the main source of ozone. Therefore, by analyzing and simulating the components of the volatile organic pollutants and controlling the variables to reduce the pollution sources one by one, the ozone can be automatically traced.

The invention provides an activated carbon fiber capable of efficiently removing formaldehyde and a preparation method thereof, the activated carbon fiber is of a composite material fiber structure of porous TiO2 derived from activated carbon and a metal organic framework (MOF), and the preparation method of the composite material comprises pretreatment of activated carbon, preparation of a Ti-MOF precursor and preparation of TiO2 / activated carbon fiber. According to the invention, the MOF-derived porous TiO2 / activated carbon composite fiber structure is constructed, physical adsorption and photocatalytic degradation functions are cooperated, and the limitation of single adsorption capacity is broken through; the interface bonding problem of the MOF derivative and the activated carbon is solved, and high-dispersion loading and stable and firm compounding of the active components are realized; a process path capable of realizing large-scale preparation is provided, and continuous production of the composite fiber is realized through an electrostatic spinning technology.

The invention provides a method for selecting a high-concentration VOCs adsorbent at different temperatures and application, and belongs to the technical field of waste gas governing. According to the method, through testing pore structure parameters of a model adsorption material with concentrated pore size distribution, a static adsorption isotherm and a dynamic penetration curve for VOCs at different temperatures, a high-concentration VOCs adsorbent is obtained; a linear relation equation of the critical aperture and the critical pressure is established through linear fitting, then a correlation equation of the critical aperture, the temperature and the partial pressure is established, and the appropriate aperture distribution range and the model selection standard of the high-concentration VOCs adsorbent at different temperatures are determined by combining dynamic adsorption results. According to the method, the ternary matching relation equation of the VOCs partial pressure, the temperature and the critical aperture is constructed, accurate type selection of the high-concentration VOCs adsorbent at different temperatures is achieved, the pore volume utilization rate and the adsorption capacity can be improved, meanwhile, desorption energy consumption and the VOCs pyrolysis risk are reduced, and a theoretical basis is provided for adsorbent type selection and technical optimization.

The invention belongs to the technical field of air pollution detection, and particularly relates to an air environment pollution degree detection system and method based on big data. According to the method, detection and early warning of the air environment pollution degree are achieved by mining and analyzing the multi-source environment data, and a dynamic weight distribution strategy is adopted when the pollution comprehensive index in the monitoring area is determined, so that the calculation precision of the pollution comprehensive index is effectively improved, the accuracy and timeliness of air quality monitoring are improved, and the method is suitable for popularization and application. Besides, by constructing the space-time incidence matrix and calculating the correlation strength coefficient, the correlation between abnormal types can be automatically identified, a scientific basis is provided for emergency response, meanwhile, a bimodal early warning mechanism provided by the invention can distinguish instantaneous anomalies and normalized anomalies, and the accuracy of emergency response is improved. The problems of resource waste and untimely emergency response caused by false alarm or missing alarm are avoided, and the continuity and stability of air quality monitoring are ensured.

The invention relates to the technical field of waste gas treatment, and discloses a method for treating odor, peculiar smell and organic waste gas through pretreatment enhanced absorption. The method comprises the following steps: acquiring waste gas component characteristic parameters through a sensor; calculating a pretreatment medicament formula by using a convolutional neural network; adding a medicament according to the instruction to remove easily-treated components and hardening and tempering difficultly-treated components; monitoring absorption liquid parameters to form characteristic indexes; adjusting gas-liquid distribution based on indexes to construct an optimal environment; introducing the quenched and tempered waste gas into the environment for enhanced absorption to obtain standard gas. Aiming at stink, peculiar smell and organic waste gas with complex and changeable components, through combination of intelligent pretreatment and enhanced absorption, components which are easy to treat and difficult to treat are efficiently and synergistically removed, meanwhile, the dosage of chemicals is reduced, the treatment stability is improved, and strict emission standard requirements are met.

The invention belongs to the technical field of preparation of sensor materials, and particularly relates to a room-temperature formaldehyde sensor material based on a catalytic principle as well as preparation and application of the room-temperature formaldehyde sensor material. The polyphenol is adsorbed on the surface of the semiconductor metal oxide through chelation, then noble metal ions are introduced, and the polyphenol on the surface of the semiconductor metal oxide can capture the noble metal ions and reduce and stabilize the noble metal ions on the surface of the semiconductor metal oxide; the noble metal nanoparticles are anchored on the surfaces of the semiconductor metal oxide nanoparticles, the original morphology of the semiconductor metal oxide is maintained, and the noble metal nanoparticles are loaded on the surfaces of the semiconductor metal oxide nanoparticles. The nano composite material not only has the intrinsic electrical and thermodynamic properties of semiconductor metal oxide, but also combines the catalytic characteristics of noble metal nanoparticles, so that the lower detection limit of formaldehyde is reduced to 3ppb, and the sensitivity of the sensor is remarkably improved. The preparation method of the room-temperature formaldehyde sensing material is simple and suitable for large-scale production, the raw materials are simple and easy to obtain, the cost is low, and the materials are environment-friendly.

The invention discloses a method for preparing a carbon monoxide oxidation catalyst by using a waste vanadium-titanium catalyst and electroplating sludge, which realizes the mutual reaction of metal components in the electroplating sludge and components in the waste vanadium-titanium catalyst through the synergistic effect of various physical and chemical treatment methods and additives in the whole preparation process. The complex multi-metal catalyst can be used for photo-catalytic oxidation of carbon monoxide, has a remarkable oxidation effect and has a good application prospect.

The invention relates to the field of piggery tail end odor pollution treatment, and discloses a piggery tail end odor purification filter element preparation method and application, the preparation method comprises the following steps: loading a photocatalyst on the surface of a filter element body to obtain a carrier, respectively inoculating 3-5 kinds of antagonism-free deodorization microorganisms into corresponding LB liquid culture mediums for activation and propagation, and carrying out purification on the LB liquid culture mediums to obtain the piggery tail end odor purification filter element. The preparation method comprises the following steps: preparing a bacterial solution, mixing the bacterial solution to obtain a corresponding bacterial solution, compounding all the bacterial solutions in proportion to obtain a compound bacterial solution, infiltrating a carrier in the compound bacterial solution, and carrying out biofilm formation at room temperature to obtain the filter element. After the photocatalyst on the surface is illuminated, some refractory pollutants can be decomposed into smaller intermediate products which are easier to utilize by microorganisms by utilizing light energy, a more suitable substrate is provided for the microorganisms, and the microorganisms can further thoroughly decompose the intermediate products into harmless substances such as carbon dioxide and water, so that the degradation effect is improved. Therefore, the overall degradation efficiency and degree of pollutants are improved.

The invention belongs to the technical field of catalytic oxidation of carbon-containing industrial waste gas, and particularly relates to a Pd catalyst for catalytic combustion of carbon-containing waste gas as well as a preparation method and application of the Pd catalyst. The invention provides a Pd catalyst for catalytic oxidation of carbon-containing industrial waste gas such as CO and volatile organic pollutants VOCs. The Pd catalyst is obtained by compounding an amorphous CeO2 nano-cluster with a TiO2 substrate (marked as cCeO2 / TiO2) and indirectly regulating the form of Pd through gradient regulation of the content of the amorphous CeO2 nano-cluster by a sol-gel method on the basis of strong interaction of Pd and Ce species. The Pd catalyst prepared by the invention shows excellent low ignition temperature, high performance and certain universality in the catalytic combustion process of carbon-containing industrial waste gases such as CO and low-chain VOCs (Volatile Organic Compounds). In addition, the method for preparing the Pd catalyst is simple to operate and mild in condition, and has great industrial application potential and value.

The invention provides a sand and dust scene atmosphere pollution source identification method and system, computer equipment and a medium, and belongs to the field of environmental pollution analys.The method comprises the steps that the types of volatile organic compounds and the types of fine particulate matter PM2.5 in the atmosphere of a sand and dust scene to be identified in a target area are identified, and the concentration of the volatile organic compounds and the concentration of the fine particulate matter PM2.5 are measured; carrying out mineral dust proportion calculation on the types of the fine particulate matters PM2.5 and the concentration of the fine particulate matters PM2.5 to obtain a mineral dust quantification result, and determining a dust source contribution weight according to the active metal increment in the mineral dust quantification result; and performing positive matrix decomposition prediction on the types of the volatile organic compounds, the concentration of the volatile organic compounds, the types of the fine particulate matters PM2.5 and the concentration of the fine particulate matters PM2.5 based on the dust source contribution weight, and determining the pollution source contribution proportion of the atmosphere of the sand and dust scene to be identified. According to the method, the accuracy of pollution source identification is guaranteed, and a basic guarantee is provided for subsequent pollution source treatment.

The invention discloses a preparation method and application of a hydrophobic core-shell structure catalyst, and the method comprises the following steps: adding a metal oxide and a surfactant into a first solvent to obtain a first dispersion liquid; adding an alkaline solution and a silicon source into the first dispersion liquid to obtain a first turbid liquid; calcining the first turbid liquid to obtain a porous core-shell material of silicon dioxide coated metal oxide; adding the porous core-shell material into a third solvent to obtain a second suspension; and adding an alkaline solution and a silane agent into the second turbid liquid to obtain the hydrophobic core-shell structure catalyst of the hydrophobic silicon dioxide coated metal oxide. The oxidation reaction of the inner core of the silicon dioxide layer does not destroy hydrophobic groups on the outer layer, so that the hydrophobic performance is maintained for a long time, organosilane is grafted on the surface of the silicon dioxide shell layer, inhibition of water vapor on the activity of the catalyst is reduced, and competitive adsorption of water vapor and reaction gas is prevented; the activity and the service life of the catalyst under high-temperature and high-humidity conditions are effectively improved.

The invention provides a method for rapidly detecting the content of nitrogen oxides in air. The method comprises the following steps: acquiring original signal data of nitrogen oxides in air in a target detection area in real time through a plurality of nitrogen oxide sensors; performing noise reduction filtering processing on the original signal data to generate target signal data; performing signal drift compensation correction on the target signal data based on a preset sensor calibration model to generate standardized concentration data; performing space-time correlation analysis on the standardized concentration data through a nitrogen oxide concentration prediction algorithm model in combination with environment parameter data collected in real time to generate a target prediction concentration value; and comparing the target predicted concentration value with a preset concentration standard threshold value based on a fuzzy logic judgment algorithm, and constructing a detection report. The whole process from data acquisition to report generation is intelligent, and the detection flexibility is remarkably improved.

The invention provides an organic waste gas treatment device based on zeolite molecular sieve adsorption and desorption treatment. The organic waste gas treatment device comprises an efficient pretreatment unit, a composite zeolite molecular sieve adsorption tower group, a plasma-assisted microwave-hot air regeneration unit, a multi-mode tail gas treatment unit, a digital twin intelligent regulation and control system and a modular expansion interface. By integrating the high-precision VOCs analyzer, the self-adaptive airflow controller, the infrared spectrometer, the multi-channel heat recoverer, the high-performance edge computing server and the intelligent pneumatic valve system, the optimized processing method realizes accurate execution of a formula, the VOCs removal rate is remarkably increased, and carbon loss and energy consumption are reduced. The method has the remarkable advantages in the aspects of VOCs removal rate, zeolite regeneration efficiency, energy consumption control and operation cost, meanwhile, through deep intelligent regulation and multi-mode treatment, the efficient, stable and low-cost VOCs treatment requirements under complex working conditions are met, and an innovative solution is provided for industrial waste gas treatment.

The invention discloses a method for preparing a carbon monoxide oxidation catalyst by using red mud and tungsten-molybdenum smelting slag, which comprises the following steps of: uniformly stirring and mixing the red mud and the tungsten-molybdenum smelting slag at a high speed, mixing with inorganic strong acid, and performing ultrasonic-assisted stirring to obtain acid leaching slag; the acid leaching residues are subjected to low-temperature plasma activating treatment and then microwave activating treatment, and microwave activated plasma residues are obtained; weighing tricalcium phosphate and microwave activated plasma slag, and uniformly stirring to obtain phosphorus-calcium doped activated slag; weighing an ammonium sulfide solution and the phosphorus-calcium doped activated slag, uniformly stirring, transferring the obtained sulfur-phosphorus-calcium doped activated slag into a hydrothermal reaction kettle, carrying out hydrothermal reaction, carrying out compression molding on the obtained hydrothermal composite material, and carrying out pyrolysis carbonization treatment in an inert gas atmosphere to obtain the phosphorus-calcium doped activated slag. The obtained pyrolysis composite material is soaked with a silane coupling agent solution and then roasted again, and the carbon monoxide oxidation catalyst is obtained. The catalyst prepared by the invention can realize efficient oxidation photocatalysis of carbon monoxide under the conditions of normal temperature and normal pressure.

The invention relates to the technical field of gas sensors, and particularly discloses an electrochemical formaldehyde sensor electrode, a preparation method thereof and an electrochemical formaldehyde sensor. The electrochemical formaldehyde sensor comprises an electrochemical formaldehyde sensor electrode and a binary electrolyte, the electrochemical formaldehyde sensor electrode comprises a polytetrafluoroethylene film, the polytetrafluoroethylene film is coated with slurry for an electrochemical formaldehyde sensor electrode; and the slurry is formed by mixing nano manganese dioxide, platinum carbon and a Nafion solution. According to the electrochemical formaldehyde sensor, the electrode prepared from the slurry formed by mixing the nano manganese dioxide, the platinum carbon and the Nafion solution has relatively high catalytic activity, so that the sensor shows extremely high sensitivity and extremely good linearity on formaldehyde, and the electrochemical formaldehyde sensor has relatively high catalytic activity by regulating and controlling the proportion of the binary electrolyte. The electrochemical formaldehyde sensor has the advantages of high sensitivity, low cost, fast response, high detection precision and the like.

The invention relates to the technical field of chemical tail gas treatment, and discloses a multi-stage series chlorinated tail gas efficient absorption system and method.The multi-stage series chlorinated tail gas efficient absorption system comprises a multi-stage series absorption unit, a circulation control system, a tail gas collection device, an emission monitoring device, a safety protection system, a tail gas purification device and an automatic control system; the multi-stage series absorption unit comprises a first-stage turbulence absorption tower, a second-stage membrane contact tower and a third-stage deep washing tower, and the multi-stage series absorption unit, a circulation control system, a tail gas collection device, an emission monitoring device, a safety protection system, a tail gas purification device and an automatic control system are integrated; according to the invention, high-efficiency, automatic and intelligent treatment of chlorinated tail gas is realized, the tail gas can be subjected to multi-stage treatment through the design of the multi-stage series absorption unit, and different pollutants can be efficiently removed in each stage, so that the treatment efficiency of the tail gas is greatly improved.

An electric motor having a stator and a rotor in which the electric motor is an axial flux motor. The stator has a multiplicity of cores which, along a circumferential direction, are disposed beside on another on a common first diameter and are in each case surrounded by one coil. The rotor has a multiplicity of magnets which, along the circumferential direction, are disposed beside one another on a common second diameter on a support. Each magnet in the circumferential direction extends across a first angular range and the magnets are disposed so as to be mutually spaced apart by a second angular range formed by the support, which support is also heatable by the stator by induction. The second angular range is at least 30% of the first angular range.

The present application relates to waste gas treatment technical field, specifically for a kind of foul smell tail gas treatment device for disposal of sick and dead animals, including the spray tower being arranged on rack, filter mechanism for purifying spray water being arranged inside the spray tower and flushing mechanism for washing filler ball being arranged on the rack, the spray tower includes the tower shell assembly being arranged on the rack, spray assembly being arranged inside the tower shell assembly and filling assembly for dynamically distributing filler ball being arranged inside the tower shell assembly;The present application can dynamically layout filler ball, change the flow path of tail gas upwards, increase the residence time of tail gas, increase the reaction contact surface of filler ball and tail gas, ensure that tail gas can fully react with spray water, improve the purification efficiency of tail gas, solve the technical problem that hollow ball filler in the interior of traditional spray tower is static placed, leading to lower tail gas purification efficiency.

The invention relates to the technical field of carbon monoxide concentration detection, in particular to an industrial flue gas carbon monoxide concentration detection device which comprises an industrial flue gas detection mobile device, and a carbon monoxide concentration infrared detection device and a data analysis processing device are arranged above the industrial flue gas detection mobile device. The device has the beneficial effects that the comprehensive sealing plate is arranged in the flue gas suction probe, the particulate matter treatment frames are matched to guide gas by utilizing a streamline fin-shaped structure, and based on the inertia principle, large particulate matters deviate from a main stream and are pushed and dispersed to particulate matter diversion grooves on the two sides of an airflow particle separation guide sheet; small particulate matters are filtered by the filter disc, and then the gas is guided and dispersed in the heat dissipation and cooling process through the particulate matter treatment frame and is in contact with the water absorption silica gel pad, so that most of moisture can be absorbed, and the aim of pretreating the industrial flue gas in the flue gas suction probe sampling process is fulfilled.

The invention discloses a glufosinate-ammonium production waste gas treatment device and method, and relates to the technical field of waste gas treatment.The glufosinate-ammonium production waste gas treatment device comprises an adsorption mechanism, an air pipeline and a heating decomposition mechanism, and the adsorption mechanism comprises an adsorption disc and a power structure driving the adsorption disc to rotate; the adsorption disc comprises a plurality of annularly distributed adsorption units; the air pipeline wraps one side of the adsorption disc to form an adsorption area, and the adsorption area is used for adsorbing and filtering pollutants in waste gas in the air pipeline; the heating decomposition mechanism wraps the other side of the adsorption disc to form a desorption area, and the desorption area is used for releasing the adsorbed pollutants from the adsorption unit, decomposing the adsorbed pollutants into harmless substances and recovering the activity of the adsorption unit; the adsorption disc is driven by the power structure to continuously rotate, so that the dynamic switching between the adsorption area and the desorption area is realized, and the continuous operation of waste gas treatment is realized. Dynamic switching between the adsorption area and the desorption area is achieved, pollutants are efficiently captured by adsorption particles in the adsorption unit, shutdown is not needed, and the requirement for continuous operation of glufosinate-ammonium production is met.

The invention discloses a boiler flue gas desulfurization and denitrification device, and relates to the technical field of boiler flue gas treatment.The boiler flue gas desulfurization and denitrification device comprises a tower body, a filler layer is fixedly installed at the top of the tower body, a tower top is fixedly installed at the top of the filler layer, a water tank is fixedly installed on the outer side of the tower body, and a circulating pump is arranged on the water tank; a spraying device is arranged on the water tank, the output end of the circulating pump is connected with the spraying device through a pipeline, a plurality of water spraying openings are formed in the tower top, and the water spraying openings are all communicated with the output end of the spraying device; wherein a stirring device for stirring the filler is arranged on the filler layer, and the flue gas is quickly dispersed, so that the primary desulfurization and denitrification effect is improved, activated carbon particles are continuously stirred, the particles are prevented from caking, full contact between the particles and the flue gas is guaranteed, the reaction time is prolonged, and the desulfurization and denitrification efficiency is improved.

The invention provides a super-hydrophobic passion fruit peel carbon aerogel VOCs adsorbent based on low-temperature plasma synergistic nitrogen doping modification and a preparation method thereof, and relates to the technical field of VOCs adsorbents. The super-hydrophobic passion fruit peel carbon aerogel VOCs adsorbent based on low-temperature plasma synergistic nitrogen doping modification is prepared by crushing passion fruit peel, mixing the crushed passion fruit peel with a nitrogen-containing compound to form gel, performing low-temperature plasma modification, performing freeze drying, performing high-temperature carbonization, and performing water washing and drying. The adsorbent is spherical, and the water contact angle is 115.8 degrees to 152.4 degrees. The adsorbent disclosed by the invention has the advantages of super hydrophobicity, high specific surface area, developed microporous structure, excellent VOCs adsorption performance, broad-spectrum adsorption capacity, good reusability and mechanical strength, the preparation method is simple in process, green and environment-friendly, low in cost and good in universality, a new technical scheme is provided for VOCs treatment in a high-humidity environment, and the adsorbent has a good application prospect.

The invention relates to a honeycomb catalyst for CO and NOx synergistic coupling removal and a preparation method, the catalyst takes nano TiO2-CeO2 as a carrier, and the surface of the carrier is loaded with an active component; the active component comprises a main catalyst and an auxiliary catalyst, the main catalyst is LaCuOx active powder, and the auxiliary catalyst is SmFeOx active powder. According to the present invention, the active material of the conventional catalyst is changed, and the carrier performance of the conventional catalyst is modified, such that the catalyst has good chemical activity and good thermal stability so as to achieve the purpose of stable and synergistic CO removal and NOx removal; meanwhile, the catalyst material is high in mechanical strength and long in chemical life, and the water resistance and the sulfur resistance of the catalyst material are also verified.

The invention discloses a method for detecting organic carbon components in soil based on gas chromatography-mass spectrometry, and particularly relates to the technical field of soil detection. The method comprises the following steps: pretreating fresh soil to obtain a fresh soil sample and an air-dried soil sample, respectively extracting organic carbon components to obtain a DOC extracting solution and an LOC extracting solution, and sequentially and respectively carrying out purification treatment, concentration treatment and derivatization on the DOC extracting solution and the LOC extracting solution to obtain a DOC to-be-detected solution and an LOC to-be-detected solution; respectively detecting the DOC to-be-detected liquid and the LOC to-be-detected liquid in a GC-MS instrument to obtain a total ion flow chromatogram, and carrying out qualitative and quantitative analysis to obtain organic carbon component data. Through step-by-step extraction, selective derivatization and GC-MS accurate analysis, molecular level separation, identification and quantification of water-soluble organic carbon DOC and oxidizable organic carbon LOC in soil are achieved, the method is particularly suitable for evaluating contribution of carbohydrate, amino acid and organic acid to the carbon turnover rate, and the method is good in selectivity and high in sensitivity.