2096 results about "Atmospheric pollution" patented technology

A hermetically sealed digital electronic camera that is designed to operate both on land and underwater to great depths, and method of making same. The present invention is a camera which is hermetically sealed by being totally encapsulated, preferably by being cast in plastic, with no seals, holes, joints, penetrating pins, wires or other objects. Wireless means are used for communicating information, electrical power and control signals. The invention is impervious to atmospheric contamination and absolutely incapable of leaking under water to great depths and pressures. In an alternate embodiment camera optics are not encapsulated but are immersed in water when the encapsulated digital camera is placed in water.

The invention provides an atmospheric pollution source grading method based on a pollutant source identification technology. The atmospheric pollution source grading method based on a pollutant source identification technology belongs to the technical field of atmospheric environment planning management, and prevention and control of pollution. The atmospheric pollution source grading method based on a pollutant source identification technology comprises the following steps of carrying out high spatio-temporal resolution meteorological simulation of a researched area based on a meteorological model, carrying out grid division of the researched area based on the geographic information system (GIS), arranging concentration contribution evaluation points, collecting pollution source discharge information, building a weather-air quality model coupled system, computing a sensitive factor, identifying sensitive discharge areas, carrying out unitization processing of the sensitive factor, and carrying out grading identification of pollution sources according to pollutant discharge loads and the order of the sensitive discharge areas. The invention aims at providing the atmospheric pollution source grading method based on a pollutant source identification technology so that the evaluation and quantitative grading of sensibility of atmospheric pollution sources are realized and an effective technical support for scientific pollutant-discharge reduction is provided.

The invention belongs to the technical field of comprehensive utilization of waste resources from the aluminum industry and specifically discloses a comprehensive utilization method of aluminum ash. According to the comprehensive utilization method of aluminum ash, metallic aluminium is extracted from aluminum ash through an ore grinding method; the aluminum ash obtained after aluminium extraction undergoes catalytic deamination; the aluminum ash obtained after deamination is mixed with alkali and granulation forming is then carried out; and the granulation product is sintered and the sintered product is finally dissolved out. By the above method, useful components in the aluminum ash can be recovered to the maximum; ammonia gas which has been ignored for a long time is effectively recovered; components such as aluminium oxide, villiaumite and the like are recovered and utilized to the maximum; pollution of aluminum ash processing to the environment is avoided; atmospheric dust pollution is avoided; atmospheric pollution is also avoided due to ammonia gas recovery; pollution of aluminum ash stacking to underground water and soil is avoided due to extraction and recovery of fluoride salt; and environmental safety during the treating process is guaranteed.

The invention discloses a method for constructing an atmospheric pollutant diffusion model. The method includes the following steps of establishing three-dimensional space rectangular coordinates, determining factors which influence atmospheric pollution diffusion, simplifying a fundamental form of a Gaussian model, and obtaining the atmospheric pollutant diffusion model. The method can be widely applied to survey regions with various dimensions, and is particularly suitable for medium and small dimensions. Besides, the method is high in computational efficiency, low in requirement to meteorological data, and capable of reflecting a diffusing process of atmospheric pollution to the greatest extent in a simple mode. Under the conditions that a rang is small, a weather field is simple, the underlying surface and topographic conditions are relatively not complex, and secondary pollutant is not considered or processed simply, a concentration field calculated through the method and a concentration field calculated through a complicated numerical method are comparatively fit, errors are mainly derived from input parameters of the model (such as precision degree of pollution source data), the model is simple, input data are less, and programming and developing are convenient.

The invention discloses regenerated acidic etching solution, a copper recycling method and a special device thereof, belonging to the field of electrochemically recycling waste solution and nonferrous metal. An electrolytic tank in electrochemical treatment is divided into an anode chamber, an intermediate chamber and a cathode chamber. Dilute sulfuric acid solution is contained in the anode chamber, and a lead-tin-calcium alloy plate is adopted as an anode electrolytic plate. Waste acidic etching solution is contained in the intermediate chamber. Copper sulfate solution is contained in the cathode chamber, and a stainless steel plate is adopted as a cathode electrolytic plate. Under the function of an electric field, copper is dissolved out from a copper sulfate system. Water in the anode chamber is oxidized to generate oxygen gas and hydrogen ions. When the concentration of the copper ions is reduced to 1g or lower than 1g, the etching solution can be used anew. The method greatly reduces the production cost and causes no atmospheric pollution at the same time as realizing the recycling.

A dispensing system for dispensing volatile liquids such as hydrocarbon fuel for vehicles into a tank having a filler neck also collects the vapors to reduce atmospheric pollution. A fuel delivery hose includes a hand-held fuel valve and nozzle for insertion in the opening of the tank. A means delivers fuel under pressure to the fuel delivery hose, and another means provides electrical pulses corresponding to the volumetric flow of liquid through the fuel delivery hose when the fuel valve is open. A vapor recovery hose includes a vapor intake connected to the hand-held nozzle for insertion in the opening of the tank without sealing with the tank, and a motor driven vapor pump produces a volumetric flow through the vapor recovery hose corresponding to a signal applied to the motor. A processing means produces the signal applied to the motor in response to the electrical pulses to produce a volumetric flow of vapor slightly greater than the volumetric flow of fuel to the tank.

The invention provides atmospheric pollution monitoring and a management method as well as a system based on high-density deployment of sensors. The method comprises the steps of acquiring status information in a deployment area, and deploying a plurality of sensors with high density in the deployment area; acquiring sensor data of the plurality of sensors, and performing joint correction on the sensor data; inferring atmospheric pollutant data of location points where the sensors are not deployed in space by utilizing a gauss inference model; performing forecast and analysis on atmospheric pollutant data of the location points with the deployed sensors and the location points where the sensors are not deployed by adopting a prediction model in time series; sending the atmospheric pollutant data to a monitoring center, and monitoring the atmospheric pollution state in the whole area in real time by monitoring personnel. According to the atmospheric pollution monitoring and management method as well as the system based on the high-density deployment of the sensors provided by the invention, purposes of real-time monitoring and evidence obtaining, quantized rating and fine management are achieved, perfect visual display is provided, and integrated management that pollution sources are monitored and discovered, evidences are obtained, and cooperation of enforcement is performed is realized.

The invention belongs to the technical field of vegetable fiber compound tableware and specifically relates to a manufacturing method for the vegetable fiber compound tableware. The manufacturing method specifically comprises seven steps. The production cost of the vegetable fiber compound tableware is obviously lower than that of the traditional metal, ceramic and melamine tableware; the traditional metal, ceramic and melamine tableware can be replaced by the vegetable fiber compound tableware; a large quantity of vegetable fibers, such as, crop straws, rice husks, cobs, sawdust, and the like, are effectively utilized; the atmospheric pollution caused by vegetable fiber burning is effectively prevented and the waste is turned into the wealth; the main products are as follows: basins, bowls, cups, dishes, trays, snack boxes, soup ladles, soup spoons, chopsticks, aviation meal boxes, and the like; and the products have the characteristics of high ceramic simulating strength, good natural texture, clear and gorgeous grains, and the like.

The invention relates to an atmospheric pollution monitoring system based on a wireless sensor network, which comprises wireless sensor network nodes, wireless sensor network sink nodes, local monitoring subcenters, a remote control terminal and a mobile phone terminal. Besides the atmospheric pollution monitoring system based on the wireless sensor network, the invention also customizes a wireless sensor network multi-level heterogeneous clustering routing protocol at the stage of network self-organization; the design of the system is reasonable, the system is easy to deploy, and the intelligent degree is high; when being applied on a large scale, the system can balance the energy consumption of the wireless sensor network nodes, accurately and timely reflect the situation of atmospheric pollution and give the alarm, the wireless sensor network nodes within monitored areas can be conveniently self-networked, and are highly scalable, a large-scale monitoring system can be constructed, and the system is suitable for popularization and application.

The invention provides an atmospheric pollution tracing method based on a Lagrangian model and a mobile observation platform, and relates to the technical field of cloud computing data analysis and application. The invention discloses an atmospheric pollution source tracing method based on a Lagrangian source tracing model and mobile super station observation. Aiming at the problem of park local atmospheric environment pollution, site data analysis and model small-scale pollution traceability analysis are carried out, targeted mobile over-station monitoring analysis is carried out on typical areas and time periods, and emergency guarantee measures are taken for emergencies in special periods. Specific components of the regional peculiar smell are measured, the source of peculiar smell pollution is tracked and locked, technical support is provided for solving the problem of peculiar smell pollution, and guidance is provided for law enforcement of related departments.

The invention relates to a catalyst containing nickel-iron-manganese compound oxide for processing industrial waste gas and a preparation method thereof and belongs to the fields of atmospheric pollution abatement technique and environment-friendly catalytic material. In the catalyst, the nickel-iron-manganese compound oxide is taken as a first active component; one or two of other transition metal, rare-earth metal or precious metal oxides are taken as a second active component; a self-made carrier or natural inorganic material carrier is taken as the carrier of the catalyst; and the contents (in percentage by weight) of the loads of the first and the second active components are respectively 5-20% and 0-10% on the basis of the weight of the carrier. The catalyst is a polymorphous catalyst, which can be spherical, columnar, starlike, bar-shaped, netty, flaky, ringlike, strip-shaped, block-shaped, honeycomb or powdery. The catalyst can be used for completely catalytically oxidizing CO(carbon monoxide), alkane, halogenated hydrocarbon, aromatic hydrocarbon and heterocyclic compounds at 200-350 DEG C. The catalyst containing nickel-iron-manganese compound oxide for processing industrial waste gas has the advantages of low initiation temperature, high conversion efficiency, low cost, wide application scope, and meets the industrial waste gas treatment requirements of various enterprises.

The invention relates to a visualization system for atmospheric environmental monitoring. The visualization system for the atmospheric environmental monitoring comprises a plurality of monitoring stations, a data processing center and a plurality of display terminals. Each monitoring station comprises a sensing unit and a data transmission unit. Each sensing unit comprises various gas sensors, suspended particle sensors and the like, collects pollution concentration data, and sends the pollution concentration data to a data processing center through the corresponding data transmission unit in a wired or wireless mode. Visual software is operated in a main node of a data processing unit, reads the real-time monitoring data, the history monitoring data and the geographic information data stored in the data processing unit, calculates geographic grid data and atmospheric pollution concentration grid data, carries out render, draws a three-dimensional terrain and atmospheric pollution concentration distribution diagram, and displays the three-dimensional terrain and atmospheric pollution concentration distribution diagram through the display terminals. The visualization system for the atmospheric environmental monitoring is suitable for visualization broadcast application of atmospheric environment, suitable for providing decision reference for emergency commands in gas leakage accidents, and also suitable for providing atmospheric environmental information reference for daily life anytime and anywhere.

The invention discloses a hyperspectral image classification based on gradient lifting decision tree and semi-supervise algorithm integration in order to solve the technical problem that hyperspectral image classification based on active learning and semi-supervise learning is low in classification precision. Hyperspectral image classification includes the steps that firstly, hyperspectral image data is input; secondly, features of sample points are extracted; thirdly, parameters of a gradient lifting decision tree classifier are trained; fourthly, massed learning sample points are classified; fifthly, the confidence degree of the sample points are assessed; sixthly, the sample points are screened through sparse representation; seventhly, a marked training set is updated; eighthly, a classification result is output. Assessment is conducted on the confidence degree of the unmarked sample points through the prediction result of the classifier and sparse representation, according to the confidence degree of the unmarked sample points, the sample points are divided into two sets for different kinds of processing, burdens for manual marking are reduced while classification precision is improved, and hyperspectral image classification can be used in the fields of geological survey, atmospheric pollution and like.

The invention discloses a method for preparing a brake pad friction material by using rice and wheat straws and relates to the technical field of composite materials. The brake pad friction material has the following formula: 15 percent of toughened fibers, 16 percent of modified resin, 14 percent of a friction increase agent, 9 percent of sulfur and tin powder, 1.6 percent of carbon black, 2.5 percent of zinc oxide, 8.9 percent of barium sulfate, 10 percent of rice and wheat straw carbon powder, 6 percent of aluminum hydroxide, 14 percent of modified li beads and 3 percent of zinc stearate. The materials are uniformly mixed and stirred, pressed in a mold and subjected to machining such as grinding and chamfering according to a technical requirement to obtain a braking pad. According to the method, the rice and wheat straws are used as raw materials to prepare carbon powder which replaces graphite in a friction material formula, so that the atmospheric pollution caused by severe combustion of straws in each year is alleviated, the production cost of the brake pad is reduced, and the brake performance and the braking effect are enhanced; the friction coefficient is stable; the brake pad is simple in structure, low in brake noise, environment-friendly and pollution-free.

The invention discloses a pollution space analysis method and device based on massive atmosphere pollution concentration data, and belongs to the field of atmosphere pollution monitoring. The method comprises the steps of obtaining the atmosphere pollution concentration data of a target area monitored by a ground high-density monitoring network; arranging the obtained atmosphere pollution concentration data in a matrix mode to obtain an atmosphere pollution concentration data matrix; conducting biclustering treatment on the atmosphere pollution concentration data matrix to obtain multiple biclustering blocks of different sensor monitoring stations; interpolating the atmosphere pollution concentration data after biclustering treatment is conducted into a grid of an air quality model, and conducting grid treatment; comparing the atmosphere pollution concentration in each grid with that in a surrounding grid to determine a high-concentration exhaust grid and obtain high-value areas of the different biclustering blocks. According to the pollution space analysis method and device based on the massive atmosphere pollution concentration data, air quality change precise characteristics in the district and county level can be obtained, local pollution source characteristics are discriminated, and more systematized technical support is formed for environment management.

The invention provides a three-dimensional iterative computing method for environment capacity of multiple atmospheric pollutants. The method comprises the steps of building a regional complex atmospheric pollution environment capacity three-dimensional iterative computing model based on a pollution source emission list and a meteorological model; establishing a pollution source three-dimensional classification method and an acceptor site optimization selection hierarchical classification method according to space distribution of pollution sources, industry types and pollutant indexes; establishing a dynamic iterative computing method for a space transmission matrix, an industry contribution matrix and a precursor contribution matrix by utilizing the environment capacity three-dimensional iterative model; and iteratively computing the environment capacity of the atmospheric pollutants such as SO2, NOx, particulate matters, NH3, VOCs and the like in regions and sub-industries by adopting a multi-objective nonlinear optimization technology according to the space, industry and precursor contribution matrixes. According to the method, the effects of regional transfer of PM2.5, industry coupling, precursor nonlinear collaboration and the like are comprehensively considered and the deficiencies of an existing environment capacity computing method are made up for.

The invention discloses an atmospheric pollution data acquisition method for an industrial park based on an unmanned aerial vehicle. The atmospheric pollution data acquisition method comprises the following steps: performing grid distribution on zones to be tested and pollution sources; setting that the influence of the pollution sources on the adjacent zones is inversely proportional to a distance, and considering the importance of the pollution sources and the influence of seasonal wind directions; calculating the relative pollution index of each of the pollution sources to each grid unit, and further dividing the zones to be tested into a plurality of pollution gathering zones; making a cruise plan of the unmanned aerial vehicle for each pollution zone, wherein the unmanned aerial vehicle carries a portable detector, and automatically cruises from the leeward boundary of the flight area to the upper boundary in an S-shaped trace; enabling the acquired pollutant data to perform association in time with the GPS positioning data of the unmanned aerial vehicle; matching the pollutant monitoring data with a grid vector map of the zone to be tested; taking the average value of all pollutant sample data in each unit grid as the final value of the unit grid. Through the adoption of the atmospheric pollution data acquisition method disclosed by the invention, the data acquisition is more optimal and scientific, and convenient for environment management and decision making.

The invention discloses a method and system for monitoring air pollution, computer equipment and a storage medium, and relates to the field of environmental monitoring. The method comprises the following steps of dividing a monitoring area into a plurality of area grids; acquiring pollutant concentration monitoring data in each area grid; obtaining satellite remote sensing data and meteorologicaldata from the monitoring area; and obtaining an air pollution monitoring result of the monitoring area through a pre-trained machine learning model based on the satellite remote sensing data and meteorological data from the monitoring area, and the pollutant concentration monitoring data in each area grid. The method can use big data technology and artificial intelligence technology in conjunctionwith regional gridded real-time pollutant monitoring data, can accurately locate the source of pollution, track the continuously spreading pollution area, and show the real-time status of air pollution, which, compared with traditional technology, can show the air pollution situation in the monitoring area more comprehensively and accurately.

The invention relates to a monolithic flue gas denitration catalyst with silicon-based ceramic as a carrier and a preparation method thereof, which pertains to the fields of atmospheric pollution treatment technology and pollution-free catalyst materials. The monolithic flue gas denitration catalyst is characterized in that the silicon-based ceramic is taken as a first carrier, active silicon dioxide is taken as a second carrier, a proper amount of one or a plurality of transition metal oxides of Mo, W, Cu, Fe, Zr, La, and the like, is added to CeO2 as the active components. The preparation method adopted is as follows: the silicon-based ceramic is immersed into alumina sol, dried and baked to prepare an active silicon dioxide coating, and then immersed into Ce(NO3)3 solution to prepare an active CeO2 coating. Compared with the prior art, the preparation method of the invention not only improves the mechanical and heat stability of the catalyst carrier, and reduces the load of the active components, but also protects the environment without secondary pollution, enhances the activity of the catalyst, and increases the activity temperature window.

The present invention relates to the preparation process of TiO2 sol with relatively high visible light activity. TiO2 sol has high dispersivity, homogeneous granularity and other advantages, and may be modified via adding RE or other transition metals to alter its energy band structure and to form photocatalytic TiO2 material capable of being excited with visible light. The present invention has improved technological process of preparing TiO2 sol, and through synthesis at low temperature and normal pressure and doping with RE or other transition metals, TiO2 sol with greatly raised visible light activity is prepared. The present invention may be applied in processing polluted atmosphere, purifying indoor air, sterilizing indoor air, sterilizing crop, etc. and has important application foreground.

The invention provides a two-waveband infrared optical system, belongs to an infrared remote sensing optical system, and solves the problems of limited optical path layout of the conventional map-integrated device and large volume of the entire device. The system comprises a scanning rotating mirror, a two-waveband infrared optical lens, a spectrometer, an infrared focal plane detector and a signal processor, wherein the two-waveband infrared optical lens consists of an infrared window, a beam splitter, a medium wave lens and a long wave lens; the scanning rotating mirror is positioned above the infrared window; an infrared optical fiber transmits infrared light output by the medium wave lens to the spectrometer; the infrared focal plane detector is positioned on an output optical axis of the long wave lens; and output signals of the spectrometer and the infrared focal plane detector are transmitted to the signal processor through a transmission cable. The system has small volume, high integration level, and convenient and flexible use, can realize automatic scanning, identification and track of a target by observing two wavebands of external scenery, and can be effectively applied to military or civil fields of missile infrared guidance, atmospheric pollution, remote measurement of poisonous gas and the like.

The present invention relates to a catalyst for concurrently removing CO, CH, NOx and PM, and a preparation method thereof, and belongs to the field of an atmosphere pollution treatment technology and environment protection catalysis materials. According to the catalyst, a solid solution of rare earth and a rare metal zirconium, a perovskite-type composite oxide and a small amount of a noble metal are adopted as active components, a self-made honeycomb ceramic is adopted as a carrier, the total loading amount of the solid solution of the rare earth and the rare metal zirconium, and the perovskite-type composite oxide in the active components is 5-20% of the mass of the catalyst, the loading amount of the noble metal is 0.01-1% of the mass of the catalyst, a general formula of the active components is AgqE1-qAyZr1-yBCOx, E is a noble metal, A and B are rare earth, C is a transition metal, y is more than 0 and less than 1, q is more than 0 and less than 1, E is one or two selected from noble metals such as platinum (Pt), palladium (Pd) and rhodium (Rh), A and B are two selected from rare earth such as lanthanum (La), cerium (Ce), praseodymium (Pr) and neodymium (Nd), and C is one selected from transition metals such as copper (Cu), cobalt (Co), manganese (Mn), iron (Fe) and nickel (Ni).

The invention relates to a composite catalyst capable of depriving nitre and mercury simultaneously and a preparation method thereof, belongs to the technical field of air pollution control, and is used for depriving fire coal smoke nitric oxide and elementary substance mercury. The catalyst comprises an active component and a carrier, the active component is CeO2 and ZrO2, molar ratio of Ce and Zr is 1 / 0.1-1, the carrier is one or a plurality of kinds of honeycomb ceramics, a molecular sieve, a ceramic plate, activated carbon fibers, a silica gel carrier, kieselguhr, metal alloy and a filter bag. Quality of the carrier serves as a standard, and the content of the active component of the catalyst is 5%-30%. The composite catalyst further comprises an assistant which is one of or any combination of two of oxides of W, Cu, Fe, Ti and Ni. Quality of the carrier serves as a standard, and the content of the assistant is 0%-15%.

The embodiment of the invention provides an atmospheric pollution gridding monitoring method based on a stationary satellite and a polar orbit satellite. The method comprises the following steps: establishing a six-element heavy pollution high-incidence index model by utilizing annual average concentrations of PM2.5, PM10, SO2, NO2, O3, HCHO and the like monitored by a polar orbit satellite, determining an atmospheric pollution key attention grid, and mastering the monthly air quality improvement condition of the key attention grid macroscopically through monthly periodic evaluation; subdividing an important attention grid into 1-kilometer refined supervision grids, carrying out PM2.5 and PM10 concentration continuous monitoring for 6 hours in the daytime by using a stationary satellite, carrying out six-element concentration monitoring every day by using a polar orbit satellite, evaluating a conventional monitoring sample, and discovering monitoring abnormity on the basis of the six-element concentration monitoring; in combination with meteorological conditions such as wind speed, wind direction and the like and the latest sub-meter high-resolution images, screening abnormal areasto provide , pollution clues for law enforcement officers so that atmospheric pollution satellite remote sensing gridding dynamic monitoring service is realized.

The Stirling-Electric Hybrid automobile herein disclosed utilizes an electric drive motor which is powered by electric storage device. The electric storage device is kept at suitable charge by electric generator mechanically driven by external combustion of Stirling engine type, by thermoelectric generator thermally coupled to the exhaust of the Stirling engine and to kinetic energy recovery system which during deceleration of the automobile utilizes the electric drive motor as a generator and recovering the electrical energy generated by deceleration to the electric storage device. Almost any clean combusting liquid or gaseous fuel may be utilized by the Stirling engine with greater fuel economy and less atmospheric pollution than internal combustion engines presently used. The utilization of thermoelectric generator to recover heat from exhaust of the Stirling engine and utilization of kinetic energy recovery system provides even better fuel efficiency and reduced pollution.

The invention relates to an anti-pollution skincare product and a preparation method thereof, in particular to an anti-pollution composition, the anti-pollution composition-containing anti-pollution skincare product, and the preparation method of the anti-pollution skincare product. The anti-pollution skincare product provided by the invention is added with a plurality of natural plant components, such as moringa pterygosperma seed extract, trehalose, tremella polysaccharide and the like, has a protecting effect on skin, repels atmospheric dust with positive charges, conducts complexing of harmful heavy metals, lightens the damage caused by atmospheric pollution, can protect cells and can reduce the injury to the skin caused by dehydration and heat and cold change.

The present invention is active carbon producing method with city garbage and carbonizing furnace. The production process includes: initial crushing, wind selection, sieving eliminating inorganic matter, crushing flammable organic matter, dewatering, mechanical extruding to produce block, dry distillation and oxidation in carbonizing furnace to produce high temperature CO2 while eliminating heavyhydrocarbon and harmful flammable matter, reduction to produce CO and other flammable gas, and producing active carbon by means of producing carbide layer, mixing with steam and activation while CO and other flammable gas being led out for use as fuel. The carbonizing furnace has simple and reasonable structure and is easy to manufacture and operate.

Method and apparatus to recover energy from waste by means of combustion of such waste in industrial furnaces, particularly of the rotary type, that has an external calciner, feeding such waste into the tertiary air duct of the calciner and burning the waste inside the duct itself, to efficiently make use of the energy produced by such combustion, as a contribution of the total cost of fuel necessary to operate the industrial furnace. The method and apparatus permit the elimination of hazardous wastes that are efficiently disassociated when burned sufficiently to produce effluents that are typically non-toxic, producing greatly reduced or even no atmospheric pollution nor environmental damage.

The invention provides an industrial park atmospheric pollutant diffusion simulating and tracing method. The industrial park atmospheric pollutant diffusion simulating and tracing method specificallycomprises the following steps: (1) based on multi-point pollutant component analysis and concentration real-time monitoring data, analyzing atmospheric pollutant emission characteristics of an emission source, and calculating dynamic emission source intensity; (2) constructing an atmospheric pollutant diffusion model based on a Gaussian smoke plume diffusion theory and a smoke mass diffusion theory, calculating pollutant diffusion distribution characteristics of an emission source according to real-time meteorological data, and predicting the pollutant concentration of sensitive points; and (3) simulating and calculating the influence of the low-rise building within the factory boundary distance of the industrial park on airflow movement, determining a transmission path of emission sourcepollutants, and performing tracing analysis on sensitive point pollutants. The theories of Gaussian diffusion, smoke mass diffusion and computational fluid mechanics are integrated, the problem that the industrial park atmospheric pollutant emission traceability is difficult is solved, and the effective supervision of the industrial park ambient air quality is realized.

The invention provides an atmospheric pollution discharge remote sensing monitoring method and an atmospheric pollution discharge remote sensing monitoring system based on an unmanned aerial vehicle. The method comprises the following steps: enabling the unmanned aerial vehicle with fixed wings to fly according to a preset flight line, obtaining video data in a flight pollution source area, and sending the video data to a central processor; determining the flight adjustment information of the unmanned aerial vehicle with fixed wings, and sending the line adjustment information to the unmanned aerial vehicle with fixed wings; flying according to the flight adjustment information, and obtaining the images of pollution discharge enterprises and the space information and flight attitude information of the unmanned aerial vehicle with fixed wings; enabling the unmanned aerial vehicle with fixed wings to send the images of pollution discharge enterprises, the space information and the flight attitude information to the central processor, and obtaining the space distribution information and pollution discharge information of the pollution discharge enterprises. Through the atmospheric pollution discharge remote sensing monitoring method and the atmospheric pollution discharge remote sensing monitoring system based on the unmanned aerial vehicle provided by the invention, powerful evidences can be provided for environmental surveillance and law enforcement, the method is free of constraint of time and topographic conditions or interference of human factors, and atmospheric pollution discharge behaviors are supervised.