CN116611252A - Aerosol particle size composition solving method, system and equipment based on deposition simulation - Google Patents
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Abstract
The application relates to a method, a system, a medium and equipment for solving aerosol particle size composition based on deposition simulation. And simulating an atmosphere transmission model with accurate accumulated deposition simulation, extracting accumulated deposition characteristics of aerosols with different particle diameters, and using the accumulated deposition characteristics as a particle size distribution solving basis to improve the accuracy of particle size distribution results. And solving an equation set by using a non-negative least square algorithm, and solving the non-negative numerical value of the particle size distribution of the aerosol according to the deposition simulation result, the monitored coincidence condition and the limit that the sum of the percentages of the aerosol components with the particle size is 1, so as to obtain the optimal solution of the particle size distribution of the aerosol, normalize the optimal solution, and improve the rationality of the particle size distribution result.
Description
Technical Field
The application relates to a solution method, a system, a medium and equipment for aerosol particle size composition based on deposition simulation, and belongs to the technical field of environmental engineering.
Background
The space-time distribution of aerosol pollutants under the action of atmospheric transportation and sedimentation is an important basis for pollutant leakage accident or emission result evaluation and environmental impact evaluation, and aerosol transmission results are generally reflected through model simulation. However, the leakage of contaminants can occur under complex weather conditions, and the main way of aerosol cesium-137 deposition in the foodisland nuclear accident is wet deposition, which is influenced by the physicochemical properties of the aerosol itself, in particular the particle size distribution.
The particle size distribution of the aerosol is closely related to wet sedimentation processes such as intra-cloud and sub-cloud wet removal. Aerosol in the boundary layer is brought into cloud by airflow, and is enriched in the processes of nucleation, condensation and condensation, and condensation nuclei absorbing radioactive aerosol can be activated into cloud droplets after reaching a certain standard. Aerosols with larger particle sizes have larger surface areas and are more likely to collide with droplets and thus be removed by wet cleaning in the cloud. After the cloud drops grow to a certain extent, rain drops can be formed and fall to the ground to participate in the cloud wetting removal process. The mechanisms involved include brown diffusion, interception, inertial collisions, and the like. The main mechanism is mainly determined by the particle size of the aerosol, e.g. brownian diffusion is more efficient for aerosols with diameters smaller than 0.01 microns, whereas for aerosols with diameters larger than 2 microns inertial collisions dominate. The particle size distribution of the aerosol plays an important role in the wet sedimentation of the aerosol. Therefore, acquiring the aerosol particle size distribution spectrum is one of the keys to reasonably predict and reproduce the nuclide space-time distribution and to improve the simulation accuracy. In addition, the solubility also has an effect on the wet sedimentation process, and aerosols which are easily dissolved in water are more easily absorbed by cloud drops and rain drops and removed by the wet sedimentation.
However, in the case of leakage accidents or emission of pollutants, on the one hand, the monitoring sites aiming at the particle size distribution of the aerosol are too sparse in time-space distribution, the cost of manpower and material resources for mobile monitoring is high, and the sufficient measured particle size information of the aerosol is difficult to obtain. On the other hand, the measurement technology for the aerosol particle size distribution has long time consumption, high measurement uncertainty, is not representative for the particle size distribution measurement of the aerosol released after pollutant leakage accidents or discharge, cannot establish a reasonable aerosol particle size distribution spectrum by monitoring the particle size distribution, and is a difficulty in the simulation of the existing atmospheric diffusion mode type micro-physical process.
Disclosure of Invention
In view of the above problems, it is an object of the present application to provide a method for solving an aerosol particle size composition based on a deposition simulation, which can accurately solve an aerosol particle size composition generated by a contaminant leakage accident or emission. It is another object of the present application to provide an aerosol particle size composition solving system, medium and apparatus based on deposition modeling.
In order to achieve the above purpose, the present application adopts the following technical scheme:
in a first aspect, the application provides a solution method for aerosol particle size composition based on deposition simulation, comprising the steps of:
establishing an atmospheric transmission model considering aerosol particle size distribution and solubility, performing deposition simulation by using the model, and calculating accumulated deposition distribution data of different particle sizes;
extracting accumulated deposition distribution data of different particle sizes, and establishing a particle size distribution solving equation set;
carrying out non-negative numerical solution on the particle size distribution solving equation set to obtain an aerosol particle composition;
the output aerosol particle size composition.
Further, an atmospheric transport model is established based on an online coupling model WRF-Chem, taking into account aerosol particle size distribution and solubility.
Further, the calculating cumulative deposition distribution data for different particle sizes includes:
1) Extracting variables, wherein the variables comprise rainfall, temperature, humidity and air pressure;
2) Calculating cloud water quantity through the variable;
3) Calculating wet sedimentation coefficients in cloud and under cloud according to the cloud water quantity;
4) And calculating the deposition amount according to the intra-cloud and sub-cloud wet sedimentation coefficients, specifically calculating the nuclide concentration of the grid by the intra-cloud and sub-cloud wet sedimentation coefficients and the nuclide concentration of the grid, and adding in the vertical grid direction to obtain the two-dimensional spatial distribution of the deposition amount.
Further, the atmospheric transfer model calculates an intra-cloud wet sedimentation coefficient Λ according to formula (1):
wherein Λ is the in-cloud wet sedimentation coefficient, LWC is the cloud water quantity, and p 0 For rainfall intensity, Δz is vertical grid height, f inc F is the activation coefficient inc Is affected by the particle size distribution and solubility of the aerosol
Further, the atmospheric transfer model calculates a cloud-under wet sedimentation coefficient Λ according to formula (2):
g(r)w-0.15+0.32r-3×10 -2 r 2 +9.34×10 -4 r 3
f(p 0 )＝2.7×10 -4 p 0 -3.618×10 -6 p 0 2
wherein r is the aerosol radius, p 0 G (r) is a function related to particle size only, f (p) 0 ) As a function of rainfall intensity only.
Further, the extracting cumulative deposition distribution data of different particle sizes, and establishing a particle size distribution solving equation set includes:
extracting n-1 grid deposition data of n particle sizes, and establishing n-1 equations according to deposition simulation results and monitored coincidence conditions, wherein the n-1 equations and the equation with particle size composition added as 1 form an equation set of n equations, and the equation set is a linear equation set;
the equation set is shown in formula (3):
wherein x is a vector composed of the percentages of the particle sizes, a i Mu for randomly selected n-1 grid data within a two-dimensional cumulative deposition distribution grid i The corresponding n-1 grid data is monitored for cumulative deposition.
Further, in the step S3, the n equations are solved by using a non-negative least square algorithm, and the n particle diameters are normalized.
In a second aspect, the present application provides an in-cloud and under-cloud wet-sedimentation online coupling prediction system for aerosols, comprising:
a raw data calculation unit configured to establish an atmospheric transport model in which aerosol particle size distribution and solubility are taken into consideration, and to perform deposition simulation using the model, calculating cumulative deposition distribution data of different particle sizes;
the particle size distribution calculation unit is configured to extract accumulated deposition results of different particle sizes, establish a particle size distribution solving equation set and carry out non-negative numerical value solving on the particle size distribution solving equation set;
and a particle size distribution output unit configured to output an aerosol particle size distribution result.
In a third aspect, the application provides a computer storage medium having stored thereon computer readable instructions executable by a processor to implement the method.
In a fourth aspect, the present application provides an electronic device comprising at least a processor and a memory, the memory having stored thereon a computer program, the processor executing the computer program to perform the method.
Due to the adoption of the technical scheme, the application has the following advantages:
1. the present application uses an atmospheric transport model that takes into account aerosol particle size distribution and solubility. The special performance behaviors of aerosol with different particle sizes and solubility in the meteorological processes such as transmission, diffusion, dry and wet deposition and the like experienced in the atmosphere can be simulated, and reasonable data support is provided for solving the particle size distribution;
2. according to the application, a solution method based on deposition simulation is used, the accumulated deposition characteristics of aerosols with different particle diameters are extracted by using an atmospheric transmission model with accurate accumulated deposition simulation, the non-negative numerical solution is carried out on the particle size distribution of the aerosols, and the accuracy of the particle size distribution result is improved;
3. according to the application, a non-negative least square algorithm is used, and according to the deposition simulation result, the monitored coincidence condition and the limit that the sum of the percentages of aerosol components with the particle sizes is 1, the particle size distribution of the aerosol is subjected to non-negative numerical solution to obtain an optimal solution of the particle size distribution of the aerosol, and normalization is carried out, so that the rationality of the particle size distribution result is improved;
in conclusion, the method can be widely applied to particle size spectrum calculation of aerosol in pollutant leakage accidents or emission.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Like parts are designated with like reference numerals throughout the drawings.
In the drawings:
FIG. 1 is a flow chart of a solution method for aerosol particle size composition based on deposition modeling in accordance with an embodiment of the present application;
FIG. 2 is a block diagram of an aerosol particle size composition solving system based on a deposition simulation in accordance with an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the application to those skilled in the art.
The embodiment of the application provides an aerosol particle size composition solving method based on deposition simulation, which comprises the steps of establishing an atmospheric transmission model considering aerosol particle size distribution and solubility, simulating special performance behaviors of aerosols with different particle sizes and solubility in meteorological processes such as transmission, diffusion, dry and wet deposition and the like in the atmosphere, and providing reasonable data support for particle size distribution solving. The method utilizes deposition simulation to solve, utilizes an atmospheric transmission model which is accurate in cumulative deposition simulation to extract the cumulative deposition characteristics of aerosols with different particle diameters, solves the particle size distribution of the aerosols with non-negative numerical values, and improves the accuracy of the particle size distribution result. And solving an equation set by using a non-negative least square algorithm, and solving the non-negative numerical value of the particle size distribution of the aerosol according to the deposition simulation result, the monitored coincidence condition and the limit that the sum of the percentages of the aerosol components with the particle size is 1, so as to obtain the optimal solution of the particle size distribution of the aerosol, normalize the optimal solution, and improve the rationality of the particle size distribution result.
Example 1
As shown in fig. 1, embodiment 1 of the present application provides a solution method for aerosol particle size composition based on deposition simulation, the method comprising the steps of:
s1, establishing an atmospheric transmission model considering aerosol particle size distribution and solubility, performing deposition simulation by using the model, and calculating accumulated deposition distribution data of n particle sizes;
based on an online coupling model WRF-Chem, an atmospheric transmission model considering aerosol particle size distribution and solubility is established. In the WRF-Chem model, an intra-cloud and sub-cloud wet sedimentation scheme taking the particle size distribution and the solubility into consideration is added, and the specific steps mainly comprise:
1) Extracting variables including rainfall, temperature, humidity and air pressure, and reading variables including particle size and soluble aerosol ratio;
2) Calculating cloud water quantity, wherein the cloud water quantity LWC refers to the mass of water contained in unit air mass in unit cloud, and is calculated by the humidity, the air pressure, the temperature and the air molar mass;
3) Calculating in-cloud and under-cloud wet sedimentation coefficients according to the cloud water quantity and formulas (1) and (2);
4) And calculating the deposition amount according to the intra-cloud and sub-cloud wet sedimentation coefficients, calculating the nuclide concentration of the grid by the intra-cloud and sub-cloud wet sedimentation coefficients and the nuclide concentration of the grid, and adding in the vertical grid direction to obtain the two-dimensional spatial distribution of the deposition amount.
The aerosol particle size distribution and the solubility-considered atmospheric transmission model calculates an in-cloud wet sedimentation coefficient Λ according to a formula (1):
wherein Λ is the in-cloud wet sedimentation coefficient, LWC is the cloud water quantity, and p 0 For rainfall intensity, Δz is vertical grid height, f inc F is the activation coefficient inc Is affected by the particle size distribution and solubility of the aerosol
The aerosol particle size distribution and the solubility-considered atmospheric transport model calculates a cloud-under wet sedimentation coefficient Λ according to a formula (2):
g(r)＝-0.15+0.32r-3×10 -2 r 2 +9.34×10 -4 r 3
f(p 0 )＝2.7×10 -4 p 0 -3.618×10 -6 p 0 2
wherein r is the aerosol radius, p 0 G (r) is a function related to particle size only, f (p) 0 ) As a function of rainfall intensity only.
S2, extracting accumulated deposition distribution data of different particle sizes, and establishing a particle size distribution solving equation set, wherein the method specifically comprises the following steps of:
s2-1, extracting n-1 grid deposition data of n particle sizes, and establishing n-1 equations according to deposition simulation results and monitored coincidence conditions, wherein the n-1 equations and the equation with particle size composition added to be 1 form an equation set of n equations, and the equation set is a linear equation set;
the extracting n-1 grid deposit data of n particle sizes includes randomly selecting n-1 grid data (a i ) And accumulating the deposition monitoring corresponding n-1 grid data (μ) i ) In combination with the constraint that the particle size composition is added to 1, a system of equations consisting of n linear equations is composed:
wherein x is the vector of each particle size percentage composition.
S3, carrying out non-negative numerical solution on the particle size distribution solving equation set to obtain aerosol particle size composition;
in the step S3, the n equation sets are solved by using a non-negative least squares NNLS algorithm, and n particle diameters are normalized.
Specifically, according to the deposition simulation result and the monitored coincidence condition and the limit that the sum of the percentages of the aerosol components with the particle sizes is 1, the particle size distribution of the aerosol is subjected to non-negative numerical solution to obtain the optimal solution of the particle size distribution of the aerosol, normalization is carried out, and the rationality of the particle size distribution result is improved.
S4, outputting aerosol particle size composition.
The deposition result of this embodiment refers to a two-dimensional distribution of the aerosol deposition amount in the calculation domain. The deposition results of the present embodiments may be used for contaminant leakage events or emissions, as well as for radioactive leakage event outcome evaluation, including aerosol atmospheric diffusion outcome evaluation, and may also provide input for prediction of aerosol migration in water or soil.
Example 2
This example 2 provides a system for aerosol particle size composition solution based on deposition modeling. The system provided in this embodiment 2 can implement the method for solving the aerosol particle size composition based on the deposition simulation in embodiment 1, and the system can be implemented by software, hardware or a combination of software and hardware. For convenience of description, the present embodiment is described while being functionally divided into various units. Of course, the functions of the units may be implemented in the same piece or pieces of software and/or hardware. For example, the system may include integrated or separate functional modules or functional units to perform the corresponding steps in the methods of embodiment one. Since the system of this embodiment is substantially similar to the method embodiment, the description of this embodiment is relatively simple, and the relevant points can be seen from the description of the method section of the first embodiment, and the embodiment of the system for solving the aerosol particle size composition based on deposition simulation provided by the present application is merely illustrative.
Specifically, as shown in fig. 2, the system for solving aerosol particle size composition based on deposition simulation provided in this embodiment includes:
a raw data calculation unit configured to establish an atmospheric transport model in which aerosol particle size distribution and solubility are taken into consideration, and to perform deposition simulation using the model, calculating cumulative deposition distribution data of different particle sizes;
the particle size distribution calculation unit is configured to extract accumulated deposition results of different particle sizes, establish a particle size distribution solving equation set and carry out non-negative numerical value solving on the particle size distribution solving equation set;
and a particle size distribution output unit configured to output an aerosol particle size distribution result.
Example 3
The method for solving the aerosol particle size composition based on deposition modeling of this embodiment 3 may be embodied as a computer program product, which may include a computer readable storage medium having computer readable program instructions embodied thereon for performing the method for solving the aerosol particle size composition based on deposition modeling of this embodiment 1.
In some implementations, a computer-readable storage medium may be a tangible device that holds and stores instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination of the preceding.
Example 4
Embodiment 4 provides an electronic device corresponding to the method for solving the aerosol particle size composition based on the deposition simulation provided in embodiment 1, where the electronic device may be an electronic device for a client, for example, a mobile phone, a notebook computer, a tablet computer, a desktop computer, etc., so as to execute the method of the first embodiment.
As shown in fig. 3, the electronic device includes a processor, a memory, a communication interface, and a communication bus, where the processor, the memory, and the communication interface are connected by the communication bus to complete communication with each other. It will be appreciated by those skilled in the art that the architecture shown in fig. 3 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting of the computing devices to which the present inventive arrangements may be applied, and that a particular computing device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In some implementations, the processor may be a Central Processing Unit (CPU), a Digital Signal Processor (DSP), or other general-purpose processor, which is not limited herein.
In other implementations, a computer program is stored in a memory, and the processor executes the method for solving the aerosol particle size composition based on deposition modeling provided in this embodiment when running the computer program. The computer program in the above-mentioned memory may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a separate product. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in the form of a software product stored in a storage medium, comprising several instructions for causing an electronic device to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an optical disk, or other various media capable of storing program codes.
In still other implementations, the communication bus may be an industry standard architecture (ISA, industry Standard Architecture) bus, a peripheral component interconnect (PCI, peripheral Component) bus, or an extended industry standard architecture (EISA, extended Industry Standard Component) bus, among others.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. The aerosol particle size composition solving method based on deposition simulation is characterized by comprising the following steps of:
establishing an atmospheric transmission model considering aerosol particle size distribution and solubility, performing deposition simulation by using the model, and calculating accumulated deposition distribution data of different particle sizes;
extracting accumulated deposition distribution data of different particle sizes, and establishing a particle size distribution solving equation set;
carrying out non-negative numerical solution on the particle size distribution solving equation set to obtain an aerosol particle composition;
the output aerosol particle size composition.
2. The aerosol particle size composition solving method based on deposition modeling according to claim 1, wherein an atmospheric transport model is established taking into account aerosol particle size distribution and solubility based on an online coupling model WRF-Chem.
3. The aerosol particle size composition solving method based on deposition modeling of claim 2, wherein the calculating cumulative deposition distribution data for different particle sizes comprises:
extracting variables, wherein the variables comprise rainfall, temperature, humidity and air pressure;
calculating cloud water quantity through the variable;
calculating wet sedimentation coefficients in cloud and under cloud according to the cloud water quantity;
and calculating the deposition amount according to the intra-cloud and sub-cloud wet sedimentation coefficients, specifically calculating the nuclide concentration of the grid by the intra-cloud and sub-cloud wet sedimentation coefficients and the nuclide concentration of the grid, and adding in the vertical grid direction to obtain the two-dimensional spatial distribution of the deposition amount.
4. A deposition simulation-based aerosol particle size composition solving method according to claim 3, wherein the atmospheric transport model calculates an intra-cloud wet sedimentation coefficient Λ according to formula (1):
wherein Λ is the in-cloud wet sedimentation coefficient, LWC is the cloud water quantity, and p 0 For rainfall intensity, Δz is vertical grid height, f inc F is the activation coefficient inc Is affected by the particle size distribution and solubility of the aerosol.
5. A deposition simulation-based aerosol particle size composition solving method according to claim 3, wherein the atmospheric transport model calculates a cloud-under wet sedimentation coefficient Λ according to formula (2):
g(r)＝-0.15+0.32r-3×10 -2 r 2 +9.34×10 -4 r 3
f(p 0 )＝2.7×10 -4 p 0 -3.618×10 -6 p 0 2
wherein r is the aerosol radius, p 0 G (r) is a function related to particle size only, f (p) 0 ) As a function of rainfall intensity only.
6. The aerosol particle size composition solving method based on deposition modeling of claim 1, wherein the extracting cumulative deposition distribution data of different particle sizes, establishing a particle size distribution solving equation set includes:
extracting n-1 grid deposition data of n particle sizes, and establishing n-1 equations according to deposition simulation results and monitored coincidence conditions, wherein the n-1 equations and the equation with particle size composition added as 1 form an equation set of n equations, and the equation set is a linear equation set;
the equation set is shown in formula (3):
wherein x is a vector composed of the percentages of the particle sizes, a i Mu for randomly selected n-1 grid data within a two-dimensional cumulative deposition distribution grid i The corresponding n-1 grid data is monitored for cumulative deposition.
7. The aerosol particle size composition solving method based on deposition modeling according to claim 1, wherein in the step S3, the n equation sets are solved and the n particle sizes are normalized using a non-negative least squares algorithm.
8. An aerosol particle size composition solving system based on deposition modeling, comprising:
a raw data calculation unit configured to establish an atmospheric transport model in which aerosol particle size distribution and solubility are taken into consideration, and to perform deposition simulation using the model, calculating cumulative deposition distribution data of different particle sizes;
the particle size distribution calculation unit is configured to extract accumulated deposition results of different particle sizes, establish a particle size distribution solving equation set, and carry out non-negative numerical solution on the particle size distribution solving equation set to obtain an aerosol particle size distribution result;
and a particle size distribution output unit configured to output an aerosol particle size distribution result.
9. A computer storage medium having stored thereon computer readable instructions executable by a processor to implement the method of any one of claims 1 to 7.
10. An electronic device comprising at least a processor and a memory, the memory having stored thereon a computer program, characterized in that the processor executes to implement the method of any of claims 1 to 7 when running the computer program.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117079711A (en) * | 2023-10-17 | 2023-11-17 | 中国科学院大气物理研究所 | Biological aerosol diffusion simulation method and device, storage medium and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117079711A (en) * | 2023-10-17 | 2023-11-17 | 中国科学院大气物理研究所 | Biological aerosol diffusion simulation method and device, storage medium and electronic equipment |
| CN117079711B (en) * | 2023-10-17 | 2024-01-23 | 中国科学院大气物理研究所 | Biological aerosol diffusion simulation method and device, storage medium and electronic equipment |
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