CN115236771B - Method and device for determining dust concentration, storage medium and electronic equipment - Google Patents
Method and device for determining dust concentration, storage medium and electronic equipment Download PDFInfo
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Abstract
The disclosure relates to a method and a device for determining dust concentration, a storage medium and electronic equipment, which relate to the technical field of air quality prediction, and the method comprises the following steps: the method comprises the steps of obtaining simulated meteorological data of a target area, determining flying dust emission data of the target area according to the simulated meteorological data, and determining target flying dust concentration of the target area through a target air quality mode according to the flying dust emission data, wherein the target flying dust concentration comprises three-dimensional distribution of aerosol with different particle sizes in the flying dust and chemical components of the aerosol. This openly can be based on the raise dust emission data that the simulation meteorological data of target area confirmed, simulates through target air quality mode, obtains the target raise dust concentration of target area, and can avoid appearing the false newspaper phenomenon in the raise dust simulation process when guaranteeing raise dust concentration simulation effect, has improved the accuracy of the target raise dust concentration of simulation.
Description
Technical Field
The disclosure relates to the technical field of air quality prediction, in particular to a method and a device for determining dust concentration, a storage medium and electronic equipment.
Background
The emission of the bare soil wind erosion flying dust is an important natural emission source of atmospheric particulates, and the atmospheric particulates emitted by the surface wind erosion can be suspended in the air for a long time under the driving of wind power, so that the human health can be harmed, the ground atmospheric radiation balance and the pH value of aerosol can be changed, the transportation and sedimentation of sulfate and nitrate are influenced, and the change of a global climate system and an ecological system can be caused. In recent years, with the deep progress of air pollution control, the concentration of particulate matters generated by artificial emission is continuously reduced, but the natural dust explosion process still occurs periodically. The research on the generation and elimination evolution of the dust raising aerosol and the influence of the dust raising aerosol on regional particulate matter concentration, component composition, regional climate feedback and the like is of great significance.
In the related technology, the dust concentration of a target area is simulated mainly by adopting a dust simulation mode, and then the generation and evolution of dust aerosol in the atmosphere are researched. However, the simulation effect of the current raise dust simulation is poor, which may cause a false report phenomenon in the raise dust simulation process, and reduce the accuracy of the simulated raise dust concentration.
Disclosure of Invention
In order to solve the problems in the related art, the present disclosure provides a raise dust concentration determination method, apparatus, storage medium, and electronic device.
In order to achieve the above object, according to a first aspect of an embodiment of the present disclosure, there is provided a raise dust concentration determination method, including:
acquiring simulated meteorological data of a target area;
determining the dust emission data of the target area according to the simulated meteorological data;
determining a target raise dust concentration of the target area through a target air quality mode according to the raise dust emission data; the target raise dust concentration comprises three-dimensional distribution of aerosol with different particle sizes and chemical components in the raise dust.
Optionally, the acquiring simulated meteorological data of the target area includes:
and simulating meteorological data of the target area through a preset meteorological model according to a preset spatial scale, a preset atmospheric chemical transmission mode and the area information of the target area to obtain the simulated meteorological data.
Optionally, the target area comprises a plurality of grids, and the determining the dust emission data of the target area according to the simulated meteorological data comprises:
determining the dust emission data through a dust emission amount determination model according to the simulated meteorological data and the surface environment parameters corresponding to each grid;
the flying dust emission data comprises the particulate matter emission amount of target particulate matters corresponding to each target flying dust emission grid, and the target flying dust emission grids are grids in which flying dust occurs in the grids.
Optionally, the determining, by a raised dust emission amount determination model according to the simulated meteorological data and the surface environment parameter corresponding to each grid, the raised dust emission data includes:
determining the target raise dust discharge grids and the area ratio corresponding to each target raise dust discharge grid according to the simulated meteorological data and the surface environment parameters through the raise dust discharge amount determination model; the area ratio is the ratio of the area of an area where the dust is generated in the target dust emission grid to the total area of the target dust emission grid;
and determining the particulate matter emission amount corresponding to each target raise dust emission grid according to the simulated meteorological data, the surface environment parameters and the area ratio for each target raise dust emission grid through the raise dust emission amount determination model.
Optionally, the determining the particulate matter emission amount corresponding to the target raise dust emission grid according to the simulated meteorological data, the surface environment parameter and the area ratio includes:
determining the flying dust discharge flux corresponding to the target flying dust discharge grid according to the simulated meteorological data and the surface environment parameters corresponding to the target flying dust discharge grid;
determining the dust emission area of the target dust emission grid according to the area ratio corresponding to the target dust emission grid and the total area of the target dust emission grid; the dust emission area is the area of an area where dust emission occurs in the target dust emission grid;
and determining the particulate matter emission amount corresponding to the target raise dust emission grid according to the raise dust emission flux corresponding to the target raise dust emission grid, the raise dust area of the target raise dust emission grid and the particulate matter content of the target particulate matter.
Optionally, the determining a target raise dust concentration of the target area according to the raise dust emission data by a target air quality mode includes:
determining the target raise dust concentration through the target air quality mode according to preset initial field concentration and the raise dust emission data; the initial field concentration includes initial concentrations of different sized particles and their chemical components.
Optionally, the determining the target raise dust concentration according to the preset initial field concentration and the raise dust emission data by the target air quality mode includes:
acquiring background field concentration corresponding to the target air quality mode, and observation concentrations of particulate matters with different particle sizes and chemical components thereof collected by a preset observation point; the background field concentration comprises the preset background concentrations of particulate matters with different particle sizes and chemical components thereof;
adjusting the initial field concentration according to the background field concentration and the observation concentration to obtain the adjusted initial field concentration;
and determining the target raise dust concentration according to the adjusted initial field concentration and the adjusted raise dust emission data and the target air quality mode.
According to a second aspect of embodiments of the present disclosure, there is provided a raise dust concentration determination apparatus, the apparatus including:
the acquisition module is used for acquiring simulated meteorological data of a target area;
the determining module is used for determining the dust emission data of the target area according to the simulated meteorological data;
the determining module is further configured to determine a target raise dust concentration of the target area through a target air quality mode according to the raise dust emission data; the target raise dust concentration comprises three-dimensional distribution of aerosol with different particle sizes and chemical components in the raise dust.
Optionally, the obtaining module is configured to simulate, according to a preset spatial scale, a preset atmospheric chemical transmission mode, and the area information of the target area, the meteorological data of the target area through a preset meteorological model, so as to obtain the simulated meteorological data.
Optionally, the target region comprises a plurality of meshes, and the determining module is configured to:
determining the flying dust emission data through a flying dust emission determination model according to the simulated meteorological data and the surface environment parameters corresponding to each grid;
the flying dust emission data comprises the particulate matter emission amount of target particulate matters corresponding to each target flying dust emission grid, and the target flying dust emission grids are grids in which flying dust occurs in the grids.
Optionally, the determining module is configured to:
determining the target raise dust discharge grids and the area ratio corresponding to each target raise dust discharge grid according to the simulated meteorological data and the surface environment parameters through the raise dust discharge amount determination model; the area ratio is the ratio of the area of an area where the raise dust occurs in the target raise dust discharge grid to the total area of the target raise dust discharge grid;
and determining the particulate matter emission amount corresponding to each target raise dust emission grid according to the simulated meteorological data, the surface environment parameters and the area ratio for each target raise dust emission grid through the raise dust emission amount determination model.
Optionally, the determining module is configured to:
determining the raised dust discharge flux corresponding to the target raised dust discharge grid according to the simulated meteorological data and the surface environment parameters corresponding to the target raised dust discharge grid;
determining the dust emission area of the target dust emission grid according to the area ratio corresponding to the target dust emission grid and the total area of the target dust emission grid; the dust emission area is the area of an area where dust emission occurs in the target dust emission grid;
and determining the particulate matter emission amount corresponding to the target raise dust emission grid according to the raise dust emission flux corresponding to the target raise dust emission grid, the raise dust area of the target raise dust emission grid and the particulate matter content of the target particulate matter.
Optionally, the determining module is configured to determine the target raise dust concentration according to a preset initial field concentration and the raise dust emission data through the target air quality mode; the initial field concentration includes initial concentrations of different sized particles and their chemical components.
Optionally, the determining module is configured to:
acquiring background field concentration corresponding to the target air quality mode, and observation concentrations of particulate matters with different particle sizes and chemical components thereof collected by a preset observation point; the background field concentration comprises the preset background concentrations of particulate matters with different particle sizes and chemical components thereof;
adjusting the initial field concentration according to the background field concentration and the observation concentration to obtain the adjusted initial field concentration;
and determining the target raise dust concentration according to the adjusted initial field concentration and the adjusted raise dust emission data and the target air quality mode.
According to a third aspect of embodiments of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any one of the above first aspects.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any of the above first aspects.
Through above-mentioned technical scheme, this disclosure is at first acquireed the simulation meteorological data in target area to according to simulation meteorological data, confirm the raise dust emission data in target area, then according to the raise dust emission data, through the target air quality mode, confirm the target raise dust concentration in target area, the target raise dust concentration includes the concentration three-dimensional distribution of different particle size aerosols and its chemical component in the raise dust. This openly can be based on the raise dust emission data that the simulation meteorological data of target area confirmed, simulates through target air quality mode, obtains the target raise dust concentration of target area, and can avoid appearing the false newspaper phenomenon in the raise dust simulation process when guaranteeing raise dust concentration simulation effect, has improved the accuracy of the target raise dust concentration of simulation.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure, but do not constitute a limitation of the disclosure. In the drawings:
fig. 1 is a flow chart illustrating a method of dust concentration determination according to an exemplary embodiment;
FIG. 2 is a flow chart of one step 102 shown in the embodiment of FIG. 1;
FIG. 3 is a flow chart illustrating one step 103 of the embodiment shown in FIG. 1;
fig. 4 is a block diagram illustrating a dust concentration determination apparatus according to an exemplary embodiment;
FIG. 5 is a block diagram illustrating an electronic device in accordance with an exemplary embodiment;
FIG. 6 is a block diagram illustrating another electronic device in accordance with an example embodiment.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
It should be noted that all actions of acquiring signals, information or data in the present disclosure are performed under the premise of complying with the corresponding data protection regulation policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.
Fig. 1 is a flowchart illustrating a raise dust concentration determination method according to an exemplary embodiment. As shown in fig. 1, the method may include the steps of:
For example, when performing dust simulation on a target dust source in a target area (for example, when simulating bare soil wind erosion dust, the target dust source may be a bare soil dust source), a meteorological element field of the target area needs to be acquired first. Specifically, the meteorological element field of the target area may be obtained in a simulation manner, and the preset spatial scale and the preset atmospheric chemical transmission mode to be adopted in the dust emission simulation may be preset. Simulated meteorological data representing a meteorological element field of the target area can then be obtained through meteorological pattern simulation according to the preset spatial scale and the preset atmospheric chemical transmission mode.
The simulated meteorological data may include meteorological elements, ground parameters, and land use types, among others. The preset spatial scale may be understood as a standard used for dividing the target area into a plurality of grids (i.e., the target area may be composed of a plurality of grids divided according to the preset spatial scale), for example, 3km × 3km may be used as the preset spatial scale, or 1 ° × 1 ° (latitude and longitude) may be used as the preset spatial scale, and the preset atmospheric chemical transmission mode is used for setting parameters (such as parameters of advection, diffusion, wind direction, and atmospheric pressure gradient) for transmitting the fugitive dust in the atmosphere.
And 102, determining the dust emission data of the target area according to the simulated meteorological data.
In this step, the previously collected surface environment parameters and the simulated meteorological data obtained by the meteorological model simulation may be used to form an input data set. The surface environment parameters may include data that can affect the emission of dust emission, such as global soil clay content, leaf area index, and grid identification file, where the grid identification file is used to identify whether each grid needs to perform dust emission calculation, for example, the grid identification file may be a bare soil mask static file. And then, the input data set can be input into the flying dust emission amount determining model to obtain the flying dust emission data corresponding to the target area simulated by the flying dust emission amount determining model. For example, the fugitive dust emission data may include particulate matter emissions of particulate matter of different particle sizes corresponding to the target area, and/or a total particulate matter emission.
And 103, determining the target raise dust concentration of the target area through a target air quality mode according to the raise dust emission data. The target raise dust concentration comprises aerosol with different particle sizes in the raise dust and concentration three-dimensional distribution of chemical components of the aerosol.
For example, after the dust emission data is determined, the dust emission data may be coupled to a target air quality mode, and based on a preset atmospheric chemical transport mode, simulation of processes such as emission, advection, diffusion, gravity settling, dry-wet settling, and the like of dust particles is performed, so as to simulate the concentration of aerosols with different particle sizes and chemical components thereof in the dust at each spatial position of a target area at different times in a simulation period, thereby obtaining a simulated three-dimensional distribution of the concentrations of the aerosols with different particle sizes and the chemical components thereof. The target air quality mode may be a CAMx mode, a CMAQ mode, a WRF-chem mode, and the like, among others. Further, it is possible to output a target raise dust concentration according to a preset simulation result output frequency (for example, outputting a simulation result once per hour) within the simulation period, and analyze the spatial-temporal distribution characteristics of aerosol in the raise dust and the influence thereof on the total aerosol concentration and the composition of components in the atmosphere according to the output target raise dust concentration.
In summary, the present disclosure first obtains the simulated meteorological data of the target area, determines the dust emission data of the target area according to the simulated meteorological data, and then determines the target dust concentration of the target area according to the dust emission data and through the target air quality mode, where the target dust concentration includes three-dimensional distribution of the concentrations of aerosols with different particle sizes and chemical components thereof in the dust. This openly can be based on the raise dust emission data that the simulation meteorological data of target area confirmed, simulates through target air quality mode, obtains the target raise dust concentration of target area, and can avoid appearing the false newspaper phenomenon in the raise dust simulation process when guaranteeing raise dust concentration simulation effect, has improved the accuracy of the target raise dust concentration of simulation.
Alternatively, step 101 may be implemented by:
and simulating meteorological data of the target area through a preset meteorological model according to the preset spatial scale, the preset atmospheric chemical transmission mode and the area information of the target area to obtain simulated meteorological data.
In this step, a preset spatial scale and a preset atmospheric chemical transmission mode to be adopted for raising dust simulation can be preset, and then the meteorological data of the target area is simulated through the preset meteorological model according to the preset spatial scale, the preset atmospheric chemical transmission mode and the area information of the target area, so as to obtain the simulated meteorological data of the target area. The area information may include a position, an identifier, and The like of The target area, the preset meteorological Model may be a mesoscale meteorological Model, and The mesoscale meteorological Model may be, for example, a WRF (english: the Weather Research and Weather Forecasting Model, chinese: weather Forecasting mode). The simulated meteorological data can then be further preprocessed to convert the simulated meteorological data into data in a format required by the dust emission determination model to meet the input requirements of the dust emission determination model.
Optionally, the target area comprises a plurality of meshes, and step 102 may be implemented by:
and determining the dust emission data through a dust emission amount determination model according to the simulated meteorological data and the surface environment parameters corresponding to each grid.
Wherein, raise dust emission data includes the particulate matter emission of the target particulate matter that every target raise dust emission net corresponds, and target raise dust emission net takes place the net of raise dust for in a plurality of nets.
For example, when bare soil wind erosion flying dust simulation is performed, the flying dust emission data needs to be calculated through quantitative simulation of a flying dust emission determination model, and then the flying dust emission data is coupled to a target air quality mode, so that simulation of emission, advection, diffusion, gravity settling, dry-wet settling and the like of flying dust particles is realized, and further a target flying dust concentration of a target area is obtained. The raised dust emission determination model can adopt a Gillette wind erosion dust release model, an EPA wind erosion dust release model, a Shore subflat wind erosion dust release model, a DPM wind erosion dust release model, a DUSTPAN model, a DEAD model, a global sand circulation model and the like. In practical business application, the problems of false reporting and low simulation performance easily occur in bare soil wind erosion flying dust simulation, and the main reasons are that key parameters calculated by simulation result differences of meteorological element fields, accuracy of flying dust emission determination models and certain flying dust emission data are mostly obtained based on observation data analysis summary or fitting, and the key parameters have great uncertainty. In order to avoid the problem that the dust emission simulation is easy to have false alarm and low simulation performance in bare soil wind erosion, more regional verification can be carried out on the dust emission determination model, and the localization of parameters such as ground atmospheric conditions, vegetation coverage and soil characteristics and the data timeliness are taken into consideration as much as possible, so that the simulation performance of the dust emission determination model is further improved, the problem of the dust false alarm is reduced, and the representation capability of the time-space characteristics of the dust emission of a target region is improved.
For example, for the surface environment parameters (including the global soil clay content, the leaf area index, the grid identification file, etc.) affecting the dust emission data, in order to adapt to the wind erosion dust simulation of the target area, these surface environment parameters may be updated or localized, so as to obtain the adjusted surface environment parameters. And then, the adjusted surface environment parameters and simulated meteorological data obtained by meteorological mode simulation can form an input data set, and the input data set is input into the raise dust emission amount determination model to obtain the raise dust emission data simulated by the raise dust emission amount determination model. The emission data may include the emission of particulate matter of the particulate matter of different particle sizes corresponding to the target region, and/or the total emission of particulate matter, which may include, for example, the emission of particulate matter of fine particulate matter (i.e., PM 2.5), the emission of particulate matter of respirable particulate matter (i.e., PM 10), and the total emission of particulate matter (i.e., the sum of the emission of particulate matter of fine particulate matter and the emission of particulate matter of respirable particulate matter).
Specifically, as shown in fig. 2, step 102 may include the steps of:
and step 1021, determining the target raise dust discharge grids and the area ratio corresponding to each target raise dust discharge grid according to the simulated meteorological data and the surface environment parameters through the raise dust discharge determination model. Wherein the area ratio is a ratio of an area where the raise dust occurs in the target raise dust discharge grid to a total area of the target raise dust discharge grid.
For example, the raise dust emission amount determining model may determine, according to the simulated meteorological data and the surface environment parameters, a target raise dust emission grid where raise dust occurs and an area ratio corresponding to each target raise dust emission grid. For example, the model for determining the emission amount of dust emission may determine, at a certain simulation time, whether each grid in the target area needs to be subjected to dust emission calculation through the grid identification file, and use the grid that needs to be subjected to dust emission calculation as the grid to be calculated. And calculating the friction speed corresponding to each grid to be calculated according to the wind speed corresponding to each grid to be calculated in the simulated meteorological data and the earth surface environment condition corresponding to each grid to be calculated in the earth surface environment parameters. Then, the raised dust emission amount determining model can compare whether the friction speed corresponding to the grid to be calculated is larger than a friction speed threshold value or not for each grid to be calculated so as to judge whether raised dust occurs to the grid to be calculated at the simulation moment or not, then the grid to be calculated, which generates raised dust at the simulation moment, is used as a target raised dust emission grid, and the area proportion corresponding to each target raised dust emission grid is determined according to the land utilization type (such as 'sand', 'sandy loam', 'silt', 'loam' and 'sandy clay') corresponding to each target raised dust emission grid in the simulation meteorological data.
And 1022, determining the particulate matter emission amount corresponding to each target raise dust emission grid according to the simulated meteorological data, the surface environmental parameters and the area occupancy for each target raise dust emission grid through the raise dust emission amount determination model.
In this step, the raise dust emission quantity determination model may determine, for each target raise dust emission grid, a raise dust emission flux corresponding to the target raise dust emission grid according to the simulated meteorological data and the surface environment parameter corresponding to the target raise dust emission grid, and determine the raise dust area of the target raise dust emission grid according to the area ratio corresponding to the target raise dust emission grid and the total area of the target raise dust emission grid. Wherein the dust emission area is the area of the region where dust emission occurs in the target dust emission grid. Then, the flying dust emission amount determining model can determine the particulate matter emission amount corresponding to the target flying dust emission grid according to the flying dust emission flux corresponding to the target flying dust emission grid, the flying dust area of the target flying dust emission grid and the particulate matter content of the target particulate matter.
Taking the target particulate matters as fine particulate matters and inhalable particulate matters as an example, the flying dust emission quantity determining model may determine, for each target flying dust emission grid, a flying dust emission flux corresponding to the target flying dust emission grid by using a first preset formula. The first preset formula may be expressed as:
vegfac = 1.0-min（lai，laiMAX）/laiMAX，
sblast = max（1.0×10 -5 ，0.013×e (−((18−%clay)^2)/(2×25))) ），
rhoa = 100×pp/(RDRY×tt)，
hflux = (CFAC×rhoa×ustar 3 /GRAV)×(1.0+ustart/ustar)×(1.0-(ustart 2 )/ustar 2 )，
vflux = hflux×1.0×10 -4 ×sblast×vegfac×stopo×NORMFAC，
wherein lai is a leaf area index corresponding to the target raise dust discharge grid, laiMAX is a maximum value in the leaf area index, and min (lai, laiMAX) represents taking a minimum value of lai and laiMAX. % clay is the soil clay content, max (1.0X 10) corresponding to the target raise dust discharge grid -5 ，0.013×e (−((18−%clay)^2)/(2×25))) ) Expressed by 1.0X 10 -5 And 0.013 × e (−((18−%clay)^2)/(2×25))) Maximum value of (2). pp is the air pressure (in mb) corresponding to the target raise dust discharging grid, and tt is the temperature (in K) corresponding to the target raise dust discharging grid. The dust discharge grid is a target dust discharge grid, the dust discharge grid is a dust discharge grid, and the dust discharge grid is a dust discharge grid 2 In s). vflux is the vertical dust emission flux corresponding to the target dust emission grid (i.e. the dust emission flux corresponding to the target dust emission grid, unit is kg/m 2 And/s) stopo is the terrain factor corresponding to the target raise dust discharge grid. RDRY, CFAC, GRAV and norfac are empirical dust-off constants that can be determined by a number of tests.
Then, the raised dust emission amount determining model may determine, for each target raised dust emission grid, a raised dust area of the target raised dust emission grid by using a second preset formula according to an area ratio corresponding to the grid and a total area of the target raised dust emission grid. The second preset formula may be expressed as: em _ area = S × K, where S is a total area of the target dust discharge grid, and K is an area ratio of the target dust discharge grid.
Finally, the flying dust emission amount determining model can determine the particulate matter emission amount corresponding to each target flying dust emission grid by using a third preset formula according to the flying dust emission flux corresponding to the target flying dust emission grid, the flying dust area of the target flying dust emission grid and the particulate matter content of the target particulate matter. When the dust emission data includes the particulate matter emission amount of the particulate matter with different particle sizes corresponding to the target region, the third preset formula may be expressed as:
femis = finfrc×vflux×em_area×1000×3600，
cemis = cinfrc×vflux×em_area×1000×3600，
wherein: and the mix is the particulate matter discharge amount (in g/hr) of fine particulate matters corresponding to the target dust emission grid, and the mix is the particulate matter discharge amount (in g/hr) of inhalable particulate matters corresponding to the target dust emission grid. finfrc is the particulate content (in units) of fine particles in the dust, cinfrc is the particulate content (in units) of inhalable particles in the dust, and em _ area is the dust area (in units of m) corresponding to the target dust discharge grid 2 ). In addition, when the dust emission data further includes the total particulate matter emission amount corresponding to the target region, the sum of the particulate matter emission amounts of the particulate matters with different particle sizes corresponding to the target region may be used as the total particulate matter emission amount corresponding to the target region.
Alternatively, step 103 may be implemented by:
and determining the target raise dust concentration through a target air quality mode according to the preset initial field concentration and the raise dust emission data. Wherein the initial field concentration comprises initial concentrations of particulate matter of different particle sizes and chemical components thereof.
For example, in order to ensure the accuracy of the simulated target raise dust concentration, input conversion interfaces of different air quality modes can be provided to convert data formats, units and the like of the raise dust emission data, so that the raise dust emission data can be compatible with different air quality modes (such as a CAMx mode, a CMAQ mode, a WRF-chem mode and the like). After the dust emission data are determined, the dust emission data and the preset initial field concentration can be input into a target air quality mode through a target input conversion interface corresponding to the target air quality mode, so that the dust emission data are coupled into the target air quality mode, and the processes of emission, advection, diffusion, gravity settling, dry-wet settling and the like of dust particles are simulated by relying on a preset atmospheric chemical transmission mode, so that the target dust concentration is simulated.
Specifically, as shown in fig. 3, step 103 may include the following steps:
and step 1031, obtaining the background field concentration corresponding to the target air quality mode, and the observation concentrations of the particulate matters with different particle sizes and chemical components thereof collected by the preset observation point. Wherein, the background field concentration comprises the background concentration of the preset particles with different particle sizes and chemical components thereof.
And step 1032, adjusting the initial field concentration according to the background field concentration and the observation concentration to obtain the adjusted initial field concentration.
And 1033, determining a target raise dust concentration through a target air quality mode according to the adjusted initial field concentration and the adjusted raise dust emission data.
For example, in order to improve the dust emission simulation effect, a dust emission assimilation technology can be added, and the prediction result of the target air quality mode is combined with the station observation data, so that the simulation accuracy of the time-space characteristics of the dust emission of the target area is further improved, and the dust emission false report phenomenon is effectively improved. Specifically, the observed concentrations of particulate matter of different particle sizes and chemical components thereof observed by a preset observation point (the collected observed concentration preset observation point can be an observation station point of a conventional pollutant preset in a target area) can be obtained, and the preset background field concentration corresponding to the target air quality mode can be obtained. Then, according to the specific geographic position and situation characteristics of the target region, the assimilation parameter setting and the background field error covariance can be adjusted, and according to the background field concentration, the observation concentration (which is equivalent to adding the observation constraint) is used for carrying out data assimilation on the initial field concentration, so that the adjusted initial field concentration (namely the assimilated initial field concentration) is obtained. For example, the initial field concentration may be data-assimilated by a three-dimensional variational assimilation method (i.e., 3 DVar) based on GSI (English: community grid Statistical interpretation system, chinese: data assimilation System). And finally, dynamically inputting the assimilated initial field concentration into a target air quality mode, and predicting the dust concentration to obtain the target dust concentration.
Further, before the initial field concentration is assimilated, the observed concentration may be subjected to quality control in order to ensure accuracy of data used at the time of assimilation. For example, abnormal observed concentrations with observed concentrations not within the preset observed concentration range can be deleted, and only normal observed data with observed concentrations of particles with different particle sizes and chemical components thereof within the preset observed concentration range are used for data assimilation of the initial field concentration.
In summary, the present disclosure first obtains the simulated meteorological data of the target area, determines the fugitive dust emission data of the target area according to the simulated meteorological data, and then determines the target fugitive dust concentration of the target area through the target air quality mode according to the fugitive dust emission data, where the target fugitive dust concentration includes the three-dimensional distribution of the concentrations of aerosols with different particle sizes and chemical components thereof in the fugitive dust. This openly can be based on the raise dust emission data that the simulation meteorological data of target area confirmed, simulate through target air quality mode, obtain the target raise dust concentration of target area, and can avoid appearing the false report phenomenon in raise dust simulation process when guaranteeing raise dust concentration simulation effect, improved the accuracy of the target raise dust concentration of simulation.
Fig. 4 is a block diagram illustrating a dust concentration determination apparatus according to an exemplary embodiment. As shown in fig. 4, the dust concentration determination apparatus 200 includes:
the acquiring module 201 is configured to acquire simulated meteorological data of a target area.
And the determining module 202 is used for determining the dust emission data of the target area according to the simulated meteorological data.
The determining module 202 is further configured to determine a target raise dust concentration of the target area according to the raise dust emission data and through the target air quality mode. The target raise dust concentration comprises aerosol with different particle sizes in the raise dust and concentration three-dimensional distribution of chemical components of the aerosol.
Optionally, the obtaining module 201 is configured to simulate, according to a preset spatial scale, a preset atmospheric chemical transmission mode, and area information of the target area, meteorological data of the target area through a preset meteorological model, so as to obtain simulated meteorological data.
Optionally, the target area comprises a plurality of grids, and the determining module 202 is configured to:
and determining the dust emission data through a dust emission determination model according to the simulated meteorological data and the surface environment parameters corresponding to each grid.
Wherein, raise dust emission data includes the particulate matter emission of the target particulate matter that every target raise dust emission net corresponds, and target raise dust emission net takes place the net of raise dust for in a plurality of nets.
Optionally, the determining module 202 is configured to:
and determining the target raise dust discharge grids and the area ratio corresponding to each target raise dust discharge grid through the raise dust discharge amount determination model according to the simulated meteorological data and the surface environment parameters. Wherein the area ratio is a ratio of an area where the raise dust occurs in the target raise dust discharge grid to a total area of the target raise dust discharge grid.
And determining the particulate matter emission amount corresponding to the target raise dust emission grid according to the simulated meteorological data, the surface environmental parameters and the area ratio aiming at each target raise dust emission grid through the raise dust emission amount determination model.
Optionally, the determining module 202 is configured to:
and determining the raise dust discharge flux corresponding to the target raise dust discharge grid according to the simulated meteorological data and the surface environment parameters corresponding to the target raise dust discharge grid.
And determining the dust emission area of the target dust emission grid according to the area ratio corresponding to the target dust emission grid and the total area of the target dust emission grid. Wherein the dust emission area is the area of the region where dust emission occurs in the target dust emission grid.
And determining the particulate matter emission amount corresponding to the target raise dust emission grid according to the raise dust emission flux corresponding to the target raise dust emission grid, the raise dust area of the target raise dust emission grid and the particulate matter content of the target particulate matter.
Optionally, the determining module 202 is configured to determine a target raise dust concentration according to a target air quality model according to a preset initial field concentration and a preset raise dust emission data. Wherein the initial field concentration comprises initial concentrations of particulate matter of different particle sizes and chemical components thereof.
Optionally, the determining module 202 is configured to:
and acquiring the background field concentration corresponding to the target air quality mode, and the observation concentrations of the particulate matters with different particle sizes and chemical components thereof collected by a preset observation point. Wherein, the background field concentration comprises the background concentration of the preset particles with different particle sizes and chemical components thereof.
And adjusting the initial field concentration according to the background field concentration and the observation concentration to obtain the adjusted initial field concentration.
And determining the target raise dust concentration through a target air quality mode according to the adjusted initial field concentration and the adjusted raise dust emission data.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
In summary, the present disclosure first obtains the simulated meteorological data of the target area, determines the dust emission data of the target area according to the simulated meteorological data, and then determines the target dust concentration of the target area according to the dust emission data and through the target air quality mode, where the target dust concentration includes three-dimensional distribution of the concentrations of aerosols with different particle sizes and chemical components thereof in the dust. This openly can be based on the raise dust emission data that the simulation meteorological data of target area confirmed, simulate through target air quality mode, obtain the target raise dust concentration of target area, and can avoid appearing the false report phenomenon in raise dust simulation process when guaranteeing raise dust concentration simulation effect, improved the accuracy of the target raise dust concentration of simulation.
Fig. 5 is a block diagram of an electronic device 700 shown in accordance with an example embodiment. As shown in fig. 5, the electronic device 700 may include: a first processor 701 and a first memory 702. The electronic device 700 may also include one or more of a multimedia component 703, a first input/output interface 704, and a first communication component 705.
The first processor 701 is configured to control the overall operation of the electronic device 700, so as to complete all or part of the steps in the dust concentration determination method. The first memory 702 is used to store various types of data to support operation at the electronic device 700, such as instructions for any application or method operating on the electronic device 700 and application-related data, such as contact data, messaging, pictures, audio, video, and the like. The first Memory 702 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 703 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the first memory 702 or transmitted through the first communication component 705. The audio assembly also includes at least one speaker for outputting audio signals. The first input/output interface 704 provides an interface between the first processor 701 and other interface modules, such as a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The first communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, or combinations thereof, which is not limited herein. The corresponding first communication component 705 may thus comprise: wi-Fi module, bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic Device 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the dust concentration determination method.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the dust concentration determination method described above is also provided. For example, the computer readable storage medium may be the first memory 702 comprising program instructions executable by the first processor 701 of the electronic device 700 to perform the dust concentration determination method described above.
Fig. 6 is a block diagram illustrating an electronic device 1900 in accordance with an example embodiment. For example, the electronic device 1900 may be provided as a server. Referring to fig. 6, the electronic device 1900 includes a second processor 1922, which may be one or more in number, and a second memory 1932 for storing computer programs executable by the second processor 1922. The computer program stored in the second memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the second processor 1922 may be configured to execute the computer program to perform the dust concentration determination method described above.
Additionally, the electronic device 1900 may also include a power component 1926 and a second communication component 1950, the power component 1926 may be configured to perform power management of the electronic device 1900, and the second communication component 1950 may be configured to enable communication, e.g., wired or wireless communication, of the electronic device 1900. The electronic device 1900 may also include a second input/output interface 1958. Electronic device 1900 may operate based on storageOperating systems in the second storage 1932, e.g. Windows Server TM ，Mac OS X TM ，Unix TM ，Linux TM And so on.
In another exemplary embodiment, a computer readable storage medium comprising program instructions is also provided, which when executed by a processor, implement the steps of the dust concentration determination method described above. For example, the non-transitory computer readable storage medium may be the second memory 1932 comprising program instructions executable by the second processor 1922 of the electronic device 1900 to perform the dust concentration determination method described above.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the dust concentration determination method described above when executed by the programmable apparatus.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that, in the foregoing embodiments, various features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various combinations that are possible in the present disclosure are not described again.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (8)
1. A raise dust concentration determination method, characterized by comprising:
acquiring simulated meteorological data of a target area;
determining the dust emission data of the target area according to the simulated meteorological data;
determining a target raise dust concentration of the target area through a target air quality mode according to the raise dust emission data; the target raise dust concentration comprises three-dimensional distribution of aerosol with different particle sizes and chemical components in the raise dust;
the acquiring of the simulated meteorological data of the target area comprises the following steps:
simulating meteorological data of the target area through a preset meteorological model according to a preset spatial scale, a preset atmospheric chemical transmission mode and the area information of the target area to obtain the simulated meteorological data;
said target area including a plurality of grids, said determining fugitive dust emission data for said target area based on said simulated meteorological data comprising:
determining the flying dust emission data through a flying dust emission determination model according to the simulated meteorological data and the surface environment parameters corresponding to each grid;
the flying dust emission data comprises the particulate matter emission amount of target particulate matters corresponding to each target flying dust emission grid, and the target flying dust emission grids are grids in which flying dust occurs in the grids.
2. The method according to claim 1, wherein determining the dust emission data through a dust emission amount determination model according to the simulated meteorological data and the surface environment parameters corresponding to each grid comprises:
determining the target raise dust discharge grids and the area ratio corresponding to each target raise dust discharge grid according to the simulated meteorological data and the surface environment parameters through the raise dust discharge capacity determination model; the area ratio is the ratio of the area of an area where the dust is generated in the target dust emission grid to the total area of the target dust emission grid;
and determining the particulate matter emission amount corresponding to the target raise dust emission grid according to the simulated meteorological data, the surface environment parameters and the area ratio for each target raise dust emission grid through the raise dust emission amount determination model.
3. The method of claim 2, wherein said determining the particulate matter emission corresponding to the target raise dust emission grid based on the simulated meteorological data, the surface environmental parameters, and the area fraction comprises:
determining the raised dust discharge flux corresponding to the target raised dust discharge grid according to the simulated meteorological data and the surface environment parameters corresponding to the target raised dust discharge grid;
determining the dust emission area of the target dust emission grid according to the area ratio corresponding to the target dust emission grid and the total area of the target dust emission grid; the dust emission area is the area of an area where dust emission occurs in the target dust emission grid;
and determining the particulate matter emission amount corresponding to the target raise dust discharge grid according to the raise dust discharge flux corresponding to the target raise dust discharge grid, the raise dust area of the target raise dust discharge grid and the particulate matter content of the target particulate matter.
4. A method according to any of claims 1-3, wherein said determining a target dust concentration for said target area by a target air quality mode based on said dust emission data comprises:
determining the target raise dust concentration according to a preset initial field concentration and the raise dust emission data and the target air quality mode; the initial field concentration includes initial concentrations of different sized particles and their chemical components.
5. The method of claim 4, wherein determining the target dust emission concentration from the target air quality model based on a preset initial field concentration and the dust emission data comprises:
acquiring background field concentration corresponding to the target air quality mode, and observation concentrations of particulate matters with different particle sizes and chemical components thereof collected by a preset observation point; the background field concentration comprises the preset background concentrations of particulate matters with different particle sizes and chemical components thereof;
adjusting the initial field concentration according to the background field concentration and the observation concentration to obtain the adjusted initial field concentration;
and determining the target raise dust concentration according to the adjusted initial field concentration and the adjusted raise dust emission data and the target air quality mode.
6. A raise dust concentration determination apparatus, characterized by comprising:
the acquisition module is used for acquiring simulated meteorological data of a target area;
the determining module is used for determining the dust emission data of the target area according to the simulated meteorological data;
the determining module is further used for determining a target raise dust concentration of the target area through a target air quality mode according to the raise dust emission data; the target raise dust concentration comprises three-dimensional distribution of aerosol with different particle sizes and chemical components in the raise dust;
the obtaining module is configured to:
simulating meteorological data of the target area through a preset meteorological model according to a preset spatial scale, a preset atmospheric chemical transmission mode and the area information of the target area to obtain the simulated meteorological data;
the target region includes a plurality of meshes, the determination module to:
determining the dust emission data through a dust emission amount determination model according to the simulated meteorological data and the surface environment parameters corresponding to each grid;
the flying dust emission data comprises the particulate matter emission amount of target particulate matters corresponding to each target flying dust emission grid, and the target flying dust emission grids are grids in which flying dust occurs in the grids.
7. A non-transitory computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, performs the steps of the method of any one of claims 1 to 5.
8. An electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to carry out the steps of the method of any one of claims 1 to 5.
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