Atmosphere traceability system based on aerosol radar

Abstract

The invention discloses an atmospheric traceability system based on an aerosol radar, relates to the technical field of atmospheric pollution prevention work services, and the technical scheme significantly improves the aerosol component identification capability and solves the problem of insufficient aerosol component identification. The optical characteristic analysis module accurately calculates an aerosol component coefficient Rcf, and performs evaluation through a preset threshold value, so that the accuracy of component identification is optimized; besides, the meteorological condition adjusting module acquires and processes meteorological data in real time and dynamically adjusts detection parameters, thereby reducing the influence of meteorological conditions on the data and enhancing the stability of the system under different meteorological conditions. Through the improvements, the accuracy of atmospheric pollution monitoring and the adaptability of the system are improved on the whole.

Description

Technical Field

[0001] The present invention relates to the technical field of air pollution prevention and control service, and in particular to an air source tracing system based on aerosol radar. Background Art

[0002] The atmospheric source tracing system is the product of the integration of multidisciplinary technologies and is widely used in environmental protection, emergency response, industrial monitoring and climate research. The atmospheric source tracing system based on aerosol radar is a technical means of using radar technology to monitor and track the dynamics of aerosol particles (such as dust, smoke, pollen, industrial pollutants, etc.) in the atmosphere. Aerosol radar can provide high-precision aerosol vertical distribution information and has unique advantages in monitoring and tracing atmospheric pollution. It has a wide range of applications, including atmospheric pollution prevention and control services.

[0003] However, in practical applications, the existing technology also has many technical disadvantages, including:

[0004] 1. Insufficient aerosol component identification capability: Aerosol radar has limited ability to identify the specific components of aerosols. It can usually only detect the concentration and distribution of aerosols, but it is difficult to distinguish specific types of pollutants, such as different organic matter, sulfates, nitrates, etc. This lack of identification capability may limit the application of the system in pollution source tracing and cause analysis.

[0005] 2. Difficulty in integration with other monitoring systems: There are technical challenges in integrating the data of the aerosol radar system with data from other monitoring methods (such as satellite remote sensing, ground monitoring stations, etc.), including incompatible data formats, differences in communication protocols between different systems, etc. This may lead to the inability to fully utilize the data and affect the accurate tracing of pollution sources;

[0006] 3. Sensitivity to meteorological conditions: The detection effect of aerosol radar is easily affected by meteorological conditions, such as strong winds, rainfall, haze, etc. These conditions may cause scattering, attenuation or increased noise of radar signals, thereby reducing the accuracy and reliability of data and affecting the effectiveness of pollution tracing and prevention and control measures. Summary of the invention

[0007] The present invention aims to provide an atmospheric source tracing system based on aerosol radar to solve the above problems.

[0008] The present invention is achieved through the following technical solutions:

[0009] An atmospheric source tracing system based on aerosol radar, including an atmospheric pollution monitoring module, an optical characteristic analysis module, a meteorological condition adjustment module, a path identification module, a pollution source positioning module and a comprehensive evaluation module;

[0010] The atmospheric pollution monitoring module is used to collect vertical distribution data of aerosols in the atmosphere through an aerosol radar, and based on the acquired vertical distribution data, preliminarily process the real-time monitoring data, and then generate an aerosol concentration data set; finally, extract the relevant parameters therein, calculate and obtain the optical characteristic index Opt, and transmit it to the optical characteristic analysis module;

[0011] The optical characteristic analysis module is used to identify different types of pollutant particles in the atmosphere according to the optical characteristic index Opt and the scanning law of the aerosol, and calculate the aerosol composition coefficient Rcf according to these types and evaluate and analyze them, and finally transmit the evaluation and analysis results to the path identification module;

[0012] The meteorological condition adjustment module is used to receive real-time meteorological related data, and adjust the detection parameters of the aerosol radar based on a preset meteorological model, generate a parameter detection data set after the adjustment, and then transmit the adjusted data to the path identification module;

[0013] The path identification module identifies the transmission path of the aerosol based on the data of the aerosol radar and the adjusted detection parameter set, calculates the propagation path coefficient Ptc, and transmits the result to the pollution source positioning module;

[0014] The pollution source positioning module is used to establish a pollution source positioning model, and at the same time associate and fit the propagation path coefficient Ptc, the aerosol composition coefficient Rcf and the pollution source positioning model related data, and finally generate the pollution source positioning index Psp, locate the location of the pollution source, and transmit it to the comprehensive evaluation module;

[0015] The comprehensive assessment module is used to compare the pollution source location index Psp with historical pollution source related data, comprehensively assess the severity of current air pollution, generate an air pollution prevention and control recommendation report, and assist in decision-making.

[0016] Preferably, the air pollution monitoring module includes an aerosol radar data acquisition unit and a data preprocessing and feature extraction unit;

[0017] The aerosol radar data acquisition unit is used to obtain the vertical distribution data of aerosols in the atmosphere in real time; by means of the aerosol radar device, different altitude layers in the atmosphere are scanned to obtain the aerosol concentration data at different times, and the aerosol change information with time and altitude is recorded; wherein the data collected by the aerosol radar device is stored in the form of a vertical profile and pre-processed, and finally a vertical distribution data set of aerosol concentration in the atmosphere is generated;

[0018] Preferably, the data preprocessing and feature extraction unit is used to extract the vertical distribution data set of aerosol concentration, and after dimensionless processing, obtain the extinction coefficient Xxs and scattering coefficient Sxs of the aerosol by calculation, and then fit the extinction coefficient Xxs and the scattering coefficient Sxs to obtain the optical characteristic index Opt. The specific calculation formula is:

[0019] Xxs=∫N(D)·Qext(D,λ)·πD 2 dD;

[0020] Sxs=∫N(D)·Qsca(D,λ)·πD 2 dD;

[0021]

[0022] In the formula, D represents the diameter of the aerosol particles in micrometers, and N(D) represents the aerosol particle size distribution function, which uses the log-normal distribution to describe the number of aerosol particles with a particle size of D per unit volume;

[0023] Qext(D,λ) represents the extinction efficiency factor, which indicates the light extinction ability of aerosol particles at a specific particle size D and wavelength λ; Qsca(D,λ) represents the scattering efficiency factor, which indicates the light scattering ability of aerosol particles at a specific particle size D and wavelength λ; πD 2 represents the cross-sectional area of ​​aerosol particles;

[0024] Xxs(h) represents the extinction coefficient of aerosol in units of m-1, which indicates the attenuation of light when it passes through a certain height. m represents the meter in the unit of length, which is used to indicate the degree of light scattering per unit length. Sxs(h) represents the scattering coefficient of aerosol in units of m-1·sr-1, which indicates the intensity of light scattered by aerosol at this height. sr represents the steradian in the unit of solid angle, which is used to indicate the angular distribution of the light scattering direction.

[0025] Preferably, the optical property analysis module includes an optical property calculation unit and a component analysis and evaluation unit;

[0026] The optical property calculation unit calculates and obtains the aerosol composition coefficient Rcf by fitting the optical property index Opt. The specific formula is:

[0027]

[0028] In the formula, Opt i It represents the optical property index of the i-th aerosol particle, which depends on the scattering and extinction characteristics of the particle; Qpt z Represents the total optical property index of all types of aerosol particles, W iRepresents the weight of the i-th particle, which is set by the user according to the optical characteristics of different pollutants.

[0029] Preferably, the component analysis and evaluation unit evaluates the aerosol composition coefficient Rcf by presetting the pollutant safety threshold T1 and the pollutant warning threshold T2, wherein the pollutant safety threshold T1 is less than the pollutant warning threshold T. The specific evaluation content is:

[0030] If the aerosol component coefficient Rcf ≤ the pollutant safety threshold T1, the first component result is generated, indicating that the pollution level is in a safe state;

[0031] If the pollutant safety threshold T1 < aerosol component coefficient Rcf ≤ pollutant warning threshold T2, the second component result is generated, indicating that the pollutant concentration exceeds the safety standard but has not reached the warning level. At the same time, monitoring is strengthened and meteorological adjustments and further analysis are carried out;

[0032] If the aerosol component coefficient Rcf>pollutant warning threshold T2, the third component result is generated, indicating that the pollutant concentration has exceeded the warning threshold, and measures are taken to control pollution.

[0033] Preferably, the meteorological condition adjustment module includes a meteorological data receiving and processing unit and a detection parameter adjustment unit;

[0034] The meteorological data receiving and processing unit obtains atmospheric conditions, including temperature, humidity, wind speed, wind direction and air pressure, in real time through meteorological stations and other meteorological monitoring equipment; secondly, preprocesses the received data, and the preprocessed meteorological data will be used for subsequent model adjustment.

[0035] The detection parameter adjustment unit adjusts the detection parameters of the aerosol radar based on a preset meteorological model and in combination with meteorological data, and finally generates a new detection data set.

[0036] Preferably, the path identification module includes a data analysis unit and a path coefficient calculation unit;

[0037] The data analysis unit is used to receive the vertical distribution data and the adjusted new detection parameter set from the aerosol radar, and to perform a preliminary analysis on the temporal and spatial distribution of the aerosol; and to determine the movement trajectory and distribution trend of the pollutants through the concentration change and scanning data of the aerosol;

[0038] The path coefficient calculation unit quantitatively analyzes the transmission path of the aerosol, extracts the vertical distribution data of the aerosol radar, and calculates the propagation path coefficient Ptc after dimensionless processing:

[0039] Ptc=∫ VC(x,y,z)·V(x,y,z)·A(x,y,z)dv;

[0040] Where C(x, y, z,) represents the aerosol concentration distribution, and the unit is μg / m 3 ;

[0041] V(x, y, z) represents the spatial distribution of wind speed along the aerosol path, in m / s;

[0042] A(x, y, z) represents the diffusion cross-sectional area of ​​the aerosol, in m 2 ;

[0043] dv is the integral symbol, which is the integral of the spatial volume V, and the unit is m 3 .

[0044] Preferably, the pollution source positioning module includes a model building unit and a positioning analysis unit;

[0045] The pollution source location model constructed by the model building unit presets the distribution of different pollution sources in the geographic space; by collecting relevant data and meteorological data in the pollution source location model, and combining them with the propagation path coefficient Ptc and the component identification coefficient Rcf, the potential pollution source location is identified through the fitting algorithm, and the pollution source location index Psp is generated. The specific formula in the fitting process is:

[0046]

[0047] Where N represents the normalization factor, Ppl represents the emission frequency, Pst represents the emission duration, Ksx represents the diffusion coefficient, Wd represents the temperature, Sd represents the humidity, Fs represents the wind speed, Fx represents the wind direction, and Qy represents the air pressure;

[0048] The positioning analysis unit is used to combine the pollution source positioning index Psp with geographic data for spatial analysis; at the same time, by comparing with field monitoring data, the location accuracy of the pollution source is further verified.

[0049] Preferably, the comprehensive assessment module includes a pollution source comparison unit and a pollution prevention and control suggestion generation unit;

[0050] The pollution source comparison unit extracts historical data related to the current air pollution source from the historical database, including historical pollution events, pollution source locations, pollution diffusion patterns and pollution intensity, and fits the historical data related to the air pollution source to obtain the historical pollution positioning index Lpsp; the pollution source similarity Wrxs is calculated by the following formula;

[0051]

[0052] Preferably, the pollution prevention suggestion generation unit evaluates the pollution source similarity Wrxs by presetting a first similarity threshold P1 and a second similarity threshold P2, wherein the first similarity threshold P1 is greater than the second similarity threshold P2, and the evaluation content is:

[0053] When the pollution source similarity Wrxs ≥ similarity threshold P1, the first similarity result is generated;

[0054] When the first similarity threshold P1 is less than the pollution source similarity Wrxs and less than the second similarity threshold P2, a second similarity result is generated;

[0055] When the pollution source similarity Wrxs ≤ similarity threshold P2, the third similarity result is generated;

[0056] Based on the evaluation and analysis results, an air pollution prevention and control recommendation report is automatically generated, specifically:

[0057] When the first similar result is generated, historically successful prevention and control strategies should be adopted, including strict emission control, additional pollution control facilities, large-scale environmental cleanup, as well as limiting operating hours, adjusting control facilities, and implementing emergency response measures;

[0058] When the second similar result is generated, some specific adjustment measures are taken in combination with the general prevention and control strategy, including adjusting the production process, adjusting daily monitoring and implementing local control;

[0059] When a third similar result is generated, take basic contamination control measures to prevent potential problems, including performing routine maintenance, adjusting production management, and conducting routine inspections.

[0060] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0061] 1. The present invention improves the ability to identify aerosol components; through system components such as an atmospheric pollution monitoring module and an optical property analysis module, the vertical distribution data of an aerosol radar and an optical property index are used to identify aerosol components; specifically, the optical property calculation unit and the component analysis and evaluation unit in the optical property analysis module can accurately calculate the aerosol component coefficient Rcf and evaluate pollutants according to a preset threshold; this method effectively solves the problem of insufficient aerosol component identification through dimensionless processing and optical property fitting, and improves the system's ability to accurately identify aerosol types and concentrations, thereby providing more accurate pollution source information;

[0062] 2. The present invention simplifies integration with other monitoring systems; the module design in the scheme includes functional units such as data acquisition, preprocessing, analysis and evaluation, and these modules realize effective integration between systems through standardized data transmission interfaces and consistent data formats; the data transmission interfaces of the meteorological condition adjustment module and the path identification module enable seamless connection between the real-time adjustment of meteorological data and the identification of aerosol transmission paths, thus avoiding information loss and errors during data transmission; in addition, through optimized inter-module interfaces and preset model parameters, the system can be easily integrated with other atmospheric monitoring systems, thus improving the compatibility and collaboration efficiency of the overall system;

[0063] 3. The present invention is sensitive to meteorological conditions. The impact of meteorological conditions on aerosol radar detection cannot be ignored, so a meteorological condition adjustment module is specially designed in the technical solution. The meteorological condition adjustment module includes a meteorological data receiving and processing unit and a detection parameter adjustment unit, which acquires and processes meteorological data in real time, adjusts detection parameters according to a preset model, and generates a new detection data set. In this way, the system can dynamically adjust detection parameters according to real-time meteorological changes to ensure the accuracy and stability of aerosol data. Through this dynamic adjustment of meteorological conditions, the technical solution effectively reduces the impact of meteorological conditions on aerosol monitoring data and improves the adaptability and reliability of the system under different meteorological conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0065] Figure 1 This is a schematic diagram of the framework structure of an atmospheric source tracing system based on aerosol radar according to the present invention; DETAILED DESCRIPTION

[0066] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments and drawings. The schematic implementation modes and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention. It should be noted that the present invention is already in the actual development and use stage.

[0067] Example 1

[0068] like Figure 1 As shown, the present invention provides an atmospheric source tracing system based on aerosol radar, including an atmospheric pollution monitoring module, an optical characteristic analysis module, a meteorological condition adjustment module, a path identification module, a pollution source positioning module and a comprehensive evaluation module;

[0069] The atmospheric pollution monitoring module is used to collect vertical distribution data of aerosols in the atmosphere through an aerosol radar, and based on the acquired vertical distribution data, preliminarily process the real-time monitoring data, and then generate an aerosol concentration data set; finally, extract the relevant parameters therein, calculate and obtain the optical characteristic index Opt, and transmit it to the optical characteristic analysis module;

[0070] The optical characteristic analysis module is used to identify different types of pollutant particles in the atmosphere according to the optical characteristic index Opt and the scanning law of the aerosol, and calculate the aerosol composition coefficient Rcf according to these types and evaluate and analyze them, and finally transmit the evaluation and analysis results to the path identification module;

[0071] The meteorological condition adjustment module is used to receive real-time meteorological related data, and adjust the detection parameters of the aerosol radar based on a preset meteorological model, generate a parameter detection data set after the adjustment, and then transmit the adjusted data to the path identification module;

[0072] The path identification module identifies the transmission path of the aerosol based on the data of the aerosol radar and the adjusted detection parameter set, calculates the propagation path coefficient Ptc, and transmits the result to the pollution source positioning module;

[0073] The pollution source positioning module is used to establish a pollution source positioning model, and at the same time associate and fit the propagation path coefficient Ptc, the aerosol composition coefficient Rcf and the pollution source positioning model related data, and finally generate the pollution source positioning index Psp, locate the location of the pollution source, and transmit it to the comprehensive evaluation module;

[0074] The comprehensive assessment module is used to compare the pollution source location index Psp with historical pollution source related data, comprehensively assess the severity of current air pollution, generate an air pollution prevention and control recommendation report, and assist in decision-making.

[0075] In this embodiment, the system collects aerosol vertical distribution data in real time through an aerosol radar and generates an aerosol concentration data set, ensuring the comprehensiveness and real-time nature of the data; secondly, the optical property analysis module accurately calculates the optical property index and the aerosol composition coefficient, thereby improving the ability to identify different types of pollutant particles; the meteorological condition adjustment module adjusts the detection parameters in real time, overcomes the interference of meteorological factors on the data, and enhances the stability of the system; the path identification module further analyzes the transmission path of the aerosol, calculates the propagation path coefficient, and improves the accuracy of locating the pollution source; finally, the comprehensive evaluation module provides targeted pollution prevention and control suggestions by comparing historical data, assists in decision-making, and effectively responds to technical challenges such as insufficient aerosol component identification, difficulty in system integration, and the influence of meteorological conditions; these improvements have overall improved the comprehensive performance and practical value of the system.

[0076] Example 2

[0077] The air pollution monitoring module includes an aerosol radar data acquisition unit and a data preprocessing and feature extraction unit;

[0078] The aerosol radar data acquisition unit is used to obtain the vertical distribution data of aerosols in the atmosphere in real time; by means of the aerosol radar device, different altitude layers in the atmosphere are scanned to obtain the aerosol concentration data at different times, and the aerosol change information with time and altitude is recorded; wherein the data collected by the aerosol radar device is stored in the form of a vertical profile and pre-processed, and finally a vertical distribution data set of aerosol concentration in the atmosphere is generated;

[0079] The data preprocessing and feature extraction unit is used to extract the vertical distribution data set of aerosol concentration, and after dimensionless processing, the extinction coefficient Xxs and the scattering coefficient Sxs of the aerosol are obtained by calculation. The extinction coefficient Xxs and the scattering coefficient Sxs are then fitted to obtain the optical characteristic index Opt. The specific calculation formula is:

[0080] Xxs=∫N(D)·Qext(D,λ)·πD 2 dD;

[0081] Sxs=∫N(D)·Qsca(D,λ)·πD 2 dD;

[0082]

[0083] In the formula, D represents the diameter of the aerosol particles in micrometers, and N(D) represents the aerosol particle size distribution function, which uses the log-normal distribution to describe the number of aerosol particles with a particle size of D per unit volume;

[0084] Qext(D,λ) represents the extinction efficiency factor, which indicates the light extinction ability of aerosol particles at a specific particle size D and wavelength λ; Qsca(D,λ) represents the scattering efficiency factor, which indicates the light scattering ability of aerosol particles at a specific particle size D and wavelength λ; πD 2 represents the cross-sectional area of ​​aerosol particles;

[0085] Xxs(h) represents the extinction coefficient of aerosol in units of m-1, which indicates the attenuation of light when it passes through a certain height. m represents the meter in the unit of length, which is used to indicate the degree of light scattering per unit length. Sxs(h) represents the scattering coefficient of aerosol in units of m-1·sr-1, which indicates the intensity of light scattered by aerosol at this height. sr represents the steradian in the unit of solid angle, which is used to indicate the angular distribution of the light scattering direction.

[0086] In this embodiment, by refining the aerosol radar data collection and processing process, significant improvements are achieved in aerosol monitoring; the aerosol radar data collection unit acquires the vertical distribution data of aerosols in real time, accurately records the concentration changes of aerosols at different altitudes and time points, thereby providing a comprehensive vertical distribution data set of aerosol concentrations; the data preprocessing and feature extraction unit performs dimensionless processing on these data, calculates the extinction coefficient Xxs and scattering coefficient Sxs of the aerosol, and obtains the optical property index Opt by fitting; in this process, the extinction coefficient Xxs measures the attenuation of light passing through the aerosol layer, and the scattering coefficient Sxs measures the scattering intensity of light in the aerosol layer. These parameters help to accurately evaluate the optical properties of aerosols and identify different types of pollutant particles, thereby improving the accuracy and reliability of pollution monitoring; these improvements not only enhance the system's ability to respond to changes in aerosol concentrations, but also optimize the process of acquiring optical property data, and improve the ability to monitor and analyze atmospheric pollution;

[0087] Among them, the specific N(D) formula is:

[0088] Where N0 represents the total aerosol particle number concentration, unit particle / cm 3 , which reflects the total number of aerosol particles of all particle sizes per unit volume;

[0089] D represents the diameter of aerosol particles in micrometers, which is a variable in particle size distribution and represents aerosol particles of different sizes;

[0090] D g It represents the geometric mean diameter of aerosol particles in micrometers. This parameter represents the central value of aerosol particle size in the distribution. Most of the aerosol particles are concentrated near this range.

[0091] σ g It represents the geometric standard deviation of aerosol particle size (unitless), which describes the width of the particle size distribution. The larger the value, the more dispersed the particle size distribution of aerosol particles is. On the contrary, the smaller the value, the more concentrated the particle size is in a certain range.

[0092] In D and InDg represent the natural logarithms of the particle size D and the geometric mean diameter Dg, respectively. By taking the logarithm, the particle size distribution is converted into a log-normal distribution, making the distribution shape within different particle size ranges more reasonable.

[0093] Example 3

[0094] The optical characteristic analysis module includes an optical characteristic calculation unit and a component analysis evaluation unit;

[0095] The optical property calculation unit calculates and obtains the aerosol composition coefficient Rcf by fitting the optical property index Opt. The specific formula is:

[0096]

[0097] In the formula, Opt i It represents the optical property index of the i-th aerosol particle, which depends on the scattering and extinction characteristics of the particle; Qpt z Represents the total optical property index of all types of aerosol particles, W i Represents the weight of the i-th particle, which is set by the user according to the optical characteristics of different pollutants.

[0098] The component analysis and evaluation unit evaluates the aerosol component coefficient Rcf by presetting the pollutant safety threshold T1 and the pollutant warning threshold T2, wherein the pollutant safety threshold T1 < the pollutant warning threshold T. The specific evaluation content is:

[0099] If the aerosol component coefficient Rcf ≤ the pollutant safety threshold T1, the first component result is generated, indicating that the pollution level is in a safe state;

[0100] If the pollutant safety threshold T1 < aerosol component coefficient Rcf ≤ pollutant warning threshold T2, the second component result is generated, indicating that the pollutant concentration exceeds the safety standard but has not reached the warning level. At the same time, monitoring is strengthened and meteorological adjustments and further analysis are carried out;

[0101] If the aerosol component coefficient Rcf>pollutant warning threshold T2, the third component result is generated, indicating that the pollutant concentration has exceeded the warning threshold, and measures are taken to control pollution.

[0102] In this embodiment, the accuracy of aerosol composition analysis is significantly improved by the optical property calculation unit and the component analysis and evaluation unit; the optical property calculation unit calculates the aerosol composition coefficient Rcf by fitting the optical property index Opt, wherein the optical property index Opt comprehensively considers the scattering and extinction characteristics of the aerosol particles, and the aerosol composition coefficient Rcf reflects the optical property weights of different aerosol particles, and these parameters provide a more accurate data basis for aerosol composition analysis; the component analysis and evaluation unit performs a graded evaluation of the aerosol composition coefficient Rcf according to the preset pollutant safety threshold T1 and the pollutant warning threshold T2, thereby improving the system's response capability to different pollution levels and helping to implement targeted pollution control and prevention measures.

[0103] Example 4

[0104] The meteorological condition adjustment module includes a meteorological data receiving and processing unit and a detection parameter adjustment unit;

[0105] The meteorological data receiving and processing unit obtains atmospheric conditions, including temperature, humidity, wind speed, wind direction and air pressure, in real time through meteorological stations and other meteorological monitoring equipment; secondly, preprocesses the received data, and the preprocessed meteorological data will be used for subsequent model adjustment.

[0106] The detection parameter adjustment unit adjusts the detection parameters of the aerosol radar based on the preset meteorological model and combined with the meteorological data, and finally generates a new detection data set.

[0107] In this embodiment, the detection accuracy and adaptability of the aerosol radar are significantly improved through the meteorological data receiving and processing unit and the detection parameter adjustment unit; the meteorological data receiving and processing unit obtains atmospheric conditions such as temperature, humidity, wind speed, wind direction and air pressure in real time, and pre-processes the data to provide an accurate basis for model adjustment; the detection parameter adjustment unit dynamically adjusts the detection parameters of the aerosol radar, such as radar wavelength, scanning angle and pulse frequency, based on these pre-processed meteorological data, to generate a new detection data set; this improvement enhances the system's responsiveness to changing meteorological conditions, allowing the aerosol radar to more accurately detect and analyze the distribution of aerosols in the atmosphere, thereby improving the overall monitoring effect and data quality.

[0108] Example 5

[0109] The path identification module includes a data analysis unit and a path coefficient calculation unit;

[0110] The data analysis unit is used to receive the vertical distribution data and the adjusted new detection parameter set from the aerosol radar, and to perform a preliminary analysis on the temporal and spatial distribution of the aerosol; and to determine the movement trajectory and distribution trend of the pollutants through the concentration change and scanning data of the aerosol;

[0111] The path coefficient calculation unit quantitatively analyzes the transmission path of the aerosol, extracts the vertical distribution data of the aerosol radar, and calculates the propagation path coefficient Ptc after dimensionless processing:

[0112] Ptc=∫ V C(x,y,z)·V(x,y,z)·A(x,y,z)dv;

[0113] Where C(x, y, z) represents the aerosol concentration distribution, in μg / m 3 ;

[0114] V(x, y, z) represents the spatial distribution of wind speed along the aerosol path, in m / s;

[0115] A(x, y, z) represents the diffusion cross-sectional area of ​​the aerosol, in m2 ;

[0116] dv is the integral symbol, which is the integral of the spatial volume V, and the unit is m 3 .

[0117] In this embodiment, significant improvements are introduced in the identification of aerosol transmission paths through the data analysis unit and the path coefficient calculation unit; the data analysis unit performs a preliminary analysis of the spatiotemporal distribution of aerosols by receiving the vertical distribution data of the aerosol radar and the adjusted new detection parameter set, and can accurately identify the movement trajectory and distribution trend of pollutants; the path coefficient calculation unit performs a quantitative analysis of the aerosol transmission path, and calculates the propagation path coefficient Ptc by extracting and dimensionlessly processing the aerosol concentration distribution, wind speed distribution, diffusion cross-sectional area and integral range of the spatial dimension; these improvements enhance the system's ability to accurately identify aerosol transmission in complex environments, help to more accurately predict and evaluate the scope and impact of pollutant diffusion, and thereby enhance the effectiveness of pollution source location and control.

[0118] Example 6

[0119] The pollution source positioning module includes a model building unit and a positioning analysis unit;

[0120] The pollution source location model constructed by the model building unit presets the distribution of different pollution sources in the geographic space; by collecting relevant data and meteorological data in the pollution source location model, and combining them with the propagation path coefficient Ptc and the component identification coefficient Rcf, the potential pollution source location is identified through the fitting algorithm, and the pollution source location index Psp is generated. The specific formula in the fitting process is:

[0121]

[0122] Where N represents the normalization factor, Ppl represents the emission frequency, Pst represents the emission duration, Ksx represents the diffusion coefficient, Wd represents the temperature, Sd represents the humidity, Fs represents the wind speed, Fx represents the wind direction, and Qy represents the air pressure;

[0123] The positioning analysis unit is used to combine the pollution source positioning index Psp with geographic data for spatial analysis; at the same time, by comparing with field monitoring data, the location accuracy of the pollution source is further verified.

[0124] In this embodiment, the positioning accuracy of the pollution source is significantly improved through the cooperation of the model building unit and the positioning analysis unit; the model building unit presets the distribution of pollution sources in the geographic space, and generates the pollution source positioning index Psp by combining meteorological data, propagation path coefficient Ptc and component identification coefficient Rcf using a fitting algorithm, wherein the emission frequency Ppl, emission duration Pst, diffusion coefficient Ksx, temperature Wd, humidity Sd, wind speed Fs, wind direction Fx and air pressure Qy comprehensively consider various factors affecting the positioning of the pollution source; the positioning analysis unit further verifies the location accuracy of the pollution source by combining spatial analysis with geographic data and comparing it with field monitoring data. This improvement enhances the system's positioning capability in complex environments and improves the accuracy and response efficiency of pollution control.

[0125] Example 7

[0126] The comprehensive assessment module includes a pollution source comparison unit and a pollution prevention and control suggestion generation unit;

[0127] The pollution source comparison unit extracts historical data related to the current air pollution source from the historical database, including historical pollution events, pollution source locations, pollution diffusion patterns and pollution intensity, and fits the historical data related to the air pollution source to obtain the historical pollution positioning index Lpsp; the pollution source similarity Wrxs is calculated by the following formula;

[0128]

[0129] The pollution prevention suggestion generation unit evaluates the pollution source similarity Wrxs by presetting a first similarity threshold P1 and a second similarity threshold P2, wherein the first similarity threshold P1 is greater than the second similarity threshold P2, and the evaluation content is:

[0130] When the pollution source similarity Wrxs ≥ similarity threshold P1, the first similarity result is generated;

[0131] When the first similarity threshold P1 is less than the pollution source similarity Wrxs and less than the second similarity threshold P2, a second similarity result is generated;

[0132] When the pollution source similarity Wrxs ≤ similarity threshold P2, the third similarity result is generated;

[0133] Based on the evaluation and analysis results, an air pollution prevention and control recommendation report is automatically generated, specifically:

[0134] When the first similar result is generated, historically successful prevention and control strategies should be adopted, including strict emission control, additional pollution control facilities, large-scale environmental cleanup, as well as limiting operating hours, adjusting control facilities, and implementing emergency response measures;

[0135] When the second similar result is generated, some specific adjustment measures are taken in combination with the general prevention and control strategy, including adjusting the production process, adjusting daily monitoring and implementing local control;

[0136] When a third similar result is generated, take basic contamination control measures to prevent potential problems, including performing routine maintenance, adjusting production management, and conducting routine inspections.

[0137] In this embodiment, the pertinence and effectiveness of air pollution prevention and control are significantly improved through the pollution source comparison unit and the pollution prevention and control suggestion generation unit; the pollution source comparison unit extracts relevant historical data from the historical database, including pollution events, source locations, diffusion patterns and intensities, obtains the historical pollution positioning index Lpsp through fitting, and calculates and evaluates the pollution source similarity Wrxs; the pollution prevention and control suggestion generation unit generates an automated prevention and control report based on the evaluation results of the pollution source similarity Wrxs; when the first similarity result is generated, it is recommended to adopt historical successful strategies such as strict emission control and environmental cleanup; when the second similarity result is generated, it is recommended to adjust the production process and local control; when the third similarity result is generated, basic pollution control measures such as routine maintenance and production management adjustments are implemented; these improvement points and parameter evaluations greatly enhance the pertinence and predictability of prevention and control measures, and improve the accuracy and response efficiency of pollution management.

[0138] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An atmospheric source tracing system based on aerosol radar, characterized by: It includes air pollution monitoring module, optical characteristics analysis module, meteorological condition adjustment module, path identification module, pollution source location module and comprehensive evaluation module; The atmospheric pollution monitoring module is used to collect vertical distribution data of aerosols in the atmosphere through an aerosol radar, and based on the acquired vertical distribution data, preliminarily process the real-time monitoring data, and then generate an aerosol concentration data set; finally, extract the relevant parameters therein, calculate and obtain the optical characteristic index Opt, and transmit it to the optical characteristic analysis module; The optical characteristic analysis module is used to identify different types of pollutant particles in the atmosphere according to the optical characteristic index Opt and the scanning law of the aerosol, and calculate the aerosol composition coefficient Rcf according to these types and evaluate and analyze them, and finally transmit the evaluation and analysis results to the path identification module; The meteorological condition adjustment module is used to receive real-time meteorological related data, and adjust the detection parameters of the aerosol radar based on a preset meteorological model, generate a parameter detection data set after the adjustment, and then transmit the adjusted data to the path identification module; The path identification module identifies the transmission path of the aerosol based on the data of the aerosol radar and the adjusted detection parameter set, calculates the propagation path coefficient Ptc, and transmits the result to the pollution source positioning module; The pollution source positioning module is used to establish a pollution source positioning model, and at the same time associate and fit the propagation path coefficient Ptc, the aerosol composition coefficient Rcf and the pollution source positioning model related data, and finally generate the pollution source positioning index Psp, locate the location of the pollution source, and transmit it to the comprehensive evaluation module; The comprehensive assessment module is used to compare the pollution source location index Psp with historical pollution source related data, comprehensively assess the severity of current air pollution, generate an air pollution prevention and control recommendation report, and assist in decision-making.

2. The atmospheric source tracing system based on aerosol radar according to claim 1, characterized in that: The air pollution monitoring module includes an aerosol radar data acquisition unit and a data preprocessing and feature extraction unit; The aerosol radar data acquisition unit is used to obtain the vertical distribution data of aerosols in the atmosphere in real time; through the aerosol radar equipment, different altitude layers in the atmosphere are scanned to obtain aerosol concentration data at different times, and the change information of aerosols with time and altitude is recorded; wherein the data collected by the aerosol radar equipment is stored in the form of vertical profiles and preprocessed, and finally a vertical distribution data set of aerosol concentration in the atmosphere is generated.

3. The atmospheric source tracing system based on aerosol radar according to claim 1, characterized in that: The data preprocessing and feature extraction unit is used to extract the vertical distribution data set of aerosol concentration, and after dimensionless processing, the extinction coefficient Xxs and the scattering coefficient Sxs of the aerosol are obtained by calculation. The extinction coefficient Xxs and the scattering coefficient Sxs are then fitted to obtain the optical characteristic index Opt. The specific calculation formula is: <h2 style=";text-align:left;direction:ltr">Xxs=∫N(D)·Qext(D,λ)·πD<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> dD; <h2 style=";text-align:left;direction:ltr">Sxs = ∫N(D)·Qsca(D,λ)·πD<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> dD; In the formula, D represents the diameter of the aerosol particles in micrometers, and N(D) represents the aerosol particle size distribution function, which uses the log-normal distribution to describe the number of aerosol particles with a particle size of D per unit volume; Qext(D,λ) represents the extinction efficiency factor, which indicates the light extinction ability of aerosol particles at a specific particle size D and wavelength λ; Qsca(D,λ) represents the scattering efficiency factor, which indicates the light scattering ability of aerosol particles at a specific particle size D and wavelength λ; πD 2 represents the cross-sectional area of ​​aerosol particles; Xxs(h) represents the extinction coefficient of aerosol in units of m-1, which indicates the attenuation of light when it passes through a certain height. m represents the meter in the unit of length, which is used to indicate the degree of light scattering per unit length. Sxs(h) represents the scattering coefficient of aerosol in units of m-1·sr-1, which indicates the intensity of light scattered by aerosol at this height. sr represents the steradian in the unit of solid angle, which is used to indicate the angular distribution of the light scattering direction.

4. The atmospheric source tracing system based on aerosol radar according to claim 1, characterized in that: The optical characteristic analysis module includes an optical characteristic calculation unit and a component analysis evaluation unit; The optical property calculation unit calculates and obtains the aerosol composition coefficient Rcf by fitting the optical property index Opt. The specific formula is: In the formula, Opt i It represents the optical property index of the i-th aerosol particle, which depends on the scattering and extinction characteristics of the particle; Qpt z Represents the total optical property index of all types of aerosol particles, W i Represents the weight of the i-th particle, which is set by the user according to the optical characteristics of different pollutants.

5. The atmospheric source tracing system based on aerosol radar according to claim 1, characterized in that: The component analysis and evaluation unit evaluates the aerosol component coefficient Rcf by presetting the pollutant safety threshold T1 and the pollutant warning threshold T2, wherein the pollutant safety threshold T1 < the pollutant warning threshold T. The specific evaluation content is: If the aerosol component coefficient Rcf ≤ the pollutant safety threshold T1, the first component result is generated, indicating that the pollution level is in a safe state; If the pollutant safety threshold T1 < aerosol component coefficient Rcf ≤ pollutant warning threshold T2, the second component result is generated, indicating that the pollutant concentration exceeds the safety standard but has not reached the warning level. At the same time, monitoring is strengthened and meteorological adjustments and further analysis are carried out; If the aerosol component coefficient Rcf>pollutant warning threshold T2, the third component result is generated, indicating that the pollutant concentration has exceeded the warning threshold, and measures are taken to control pollution.

6. The atmospheric source tracing system based on aerosol radar according to claim 1, characterized in that: The meteorological condition adjustment module includes a meteorological data receiving and processing unit and a detection parameter adjustment unit; The meteorological data receiving and processing unit obtains atmospheric conditions in real time, including temperature, humidity, wind speed, wind direction and air pressure, through a meteorological station and other meteorological monitoring equipment; secondly, preprocesses the received data, and uses the preprocessed meteorological data for subsequent model adjustment; The detection parameter adjustment unit adjusts the detection parameters of the aerosol radar based on a preset meteorological model and in combination with meteorological data, and finally generates a new detection data set.

7. The atmospheric source tracing system based on aerosol radar according to claim 1, characterized in that: The path identification module includes a data analysis unit and a path coefficient calculation unit; The data analysis unit is used to receive the vertical distribution data and the adjusted new detection parameter set from the aerosol radar, and to perform a preliminary analysis on the temporal and spatial distribution of the aerosol; and to determine the movement trajectory and distribution trend of the pollutants through the concentration change and scanning data of the aerosol; The path coefficient calculation unit quantitatively analyzes the transmission path of the aerosol, extracts the vertical distribution data of the aerosol radar, and calculates the propagation path coefficient Ptc after dimensionless processing: Ptc=∫ V C(x,y,z)·V(x,y,z)·A(x,y,z)dv; Where C(x, y, z,) represents the aerosol concentration distribution, and the unit is μg / m 3 ; V(x, y, z) represents the spatial distribution of wind speed along the aerosol path, in m / s; A(x, y, z) represents the diffusion cross-sectional area of ​​the aerosol, in m 2 .

8. The atmospheric source tracing system based on aerosol radar according to claim 1, characterized in that: The pollution source positioning module includes a model building unit and a positioning analysis unit; The pollution source location model constructed by the model building unit presets the distribution of different pollution sources in the geographic space; by collecting relevant data and meteorological data in the pollution source location model, and combining them with the propagation path coefficient Ptc and the component identification coefficient Rcf, the potential pollution source location is identified through the fitting algorithm, and the pollution source location index Psp is generated. The specific formula in the fitting process is: Where N represents the normalization factor, Ppl represents the emission frequency, Pst represents the emission duration, Ksx represents the diffusion coefficient, Wd represents the temperature, Sd represents the humidity, Fs represents the wind speed, Fx represents the wind direction, and Qy represents the air pressure; The positioning analysis unit is used to combine the pollution source positioning index Psp with geographic data for spatial analysis; at the same time, by comparing with field monitoring data, the location accuracy of the pollution source is further verified.

9. The atmospheric source tracing system based on aerosol radar according to claim 1, characterized in that: The comprehensive assessment module includes a pollution source comparison unit and a pollution prevention and control suggestion generation unit; The pollution source comparison unit extracts historical data related to the current air pollution source from the historical database, including historical pollution events, pollution source locations, pollution diffusion patterns and pollution intensity, and fits the historical data related to the air pollution source to obtain the historical pollution location index Lpsp; The pollution source similarity Wrxs is calculated by the following formula; 10. The atmospheric source tracing system based on aerosol radar according to claim 1, characterized in that: The pollution prevention suggestion generation unit evaluates the pollution source similarity Wrxs by presetting a first similarity threshold P1 and a second similarity threshold P2, wherein the first similarity threshold P1 is greater than the second similarity threshold P2, and the evaluation content is: When the pollution source similarity Wrxs ≥ similarity threshold P1, the first similarity result is generated; When the first similarity threshold P1 is less than the pollution source similarity Wrxs and less than the second similarity threshold P2, a second similarity result is generated; When the pollution source similarity Wrxs ≤ similarity threshold P2, the third similarity result is generated; Based on the evaluation and analysis results, an air pollution prevention and control recommendation report is automatically generated.

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