Atmospheric pollution removing method and device and medium

Abstract

The invention discloses an atmospheric pollution removing method and device and a medium. The method comprises the following steps: determining a first weather condition in a future D'day according to air quality forecast data and meteorological mode forecast data in a research area; when the first weather condition meets the first criterion, continuously calculating a second weather condition of the ith day; when the second weather condition meets the first criterion, an elimination operation of eliminating atmospheric pollutants by artificial precipitation is formulated, and weather data at the j'th time before the H 'th time of the elimination operation are determined; making an elimination scheme for eliminating atmospheric pollutants by artificial precipitation according to the weather data, and adjusting the elimination scheme based on real-time meteorological foundation observation data of all stations in the research area and real-time Doppler weather radar base data in the # imgabs0 #; and the elimination scheme is implemented, and elimination operation is stopped according to the air quality foundation observation data and a preset second criterion.

Description

Technical Field

[0001] The present invention relates to the technical field of atmospheric pollutant removal, and more specifically, to a method, device and medium for removing air pollution. Background Art

[0002] Artificial weather modification refers to the artificial means of influencing a local area to make the weather develop in the desired direction. At present, air pollution mainly in the form of haze is still an important environmental issue that people are concerned about. Precipitation can enhance the "wet removal" process. Theoretically, it is feasible to artificially increase rainfall to remove atmospheric pollutants and improve air quality. The greater the precipitation intensity, the better the removal effect of atmospheric pollutants. When the precipitation is weak, if the scouring effect is less than the accumulation process of pollutants, the pollutant concentration is likely to increase instead. Therefore, how to design an effective operation plan for artificial rainfall enhancement to eliminate atmospheric pollutants has become an urgent technical problem to be solved. Summary of the Invention

[0003] In view of the deficiencies of the prior art, the present invention provides a method, device and medium for removing air pollution.

[0004] According to one aspect of the present invention, there is provided a method for removing air pollution, including:

[0005] Determining a first weather condition within the next D' days according to the air quality forecast data and meteorological model forecast data in the research area;

[0006] When the first weather condition meets the first criterion, continuously calculating the second weather condition on the i''-th day according to the air quality forecast data and meteorological model forecast data, where in the formula, D''' is 0, D'' is 3, and D' is 7;

[0007] When the second weather condition meets the first criterion, formulating an elimination operation for artificial rainfall enhancement to remove atmospheric pollutants, and determining the weather data at the j'-th hour before the H'-th hour of the elimination operation based on the meteorological model forecast data, where the weather data includes: total atmospheric column water vapor content, wind speed and wind direction, in the formula, H'' and H' are taken as 0 and 6 respectively;

[0008] Formulating an elimination plan for artificial rainfall enhancement to remove atmospheric pollutants according to the weather data, and within the hour, adjusting the elimination plan based on all-site real-time meteorological ground observation data and real-time Doppler weather radar base data in the research area;

[0009] Implementing the elimination plan, and stopping the elimination operation according to the air quality ground observation data and a preset second criterion.

[0010] Optionally, according to the air quality forecast data and meteorological model forecast data within the study area, determine the first weather conditions within the next D' days, including:

[0011] Resample the air quality forecast data onto the grid data of the study area to obtain the daily average value of the air quality AQI in the region on the i'-th day

[0012] Resample the meteorological model forecast data onto the grid data to obtain the regional average value of the total daily precipitation PRE within the next D' days And the regional average value of the total column water vapor content TCWV in the atmosphere per day

[0013] According to the daily average value of the air quality AQI in the region The regional average value of the total daily precipitation PRE And the regional average value of the total column water vapor content TCWV in the atmosphere per day Determine the first weather conditions within the next D' days.

[0014] Optionally, the first criterion is: And And In the formula, ω1, ω2, and ω3 are respectively taken as 150, 0.5, and 0.

[0015] Optionally, based on the meteorological model forecast data, determine the weather data at the j'-th hour before the H'-th hour of the elimination operation, including:

[0016] Obtain the j'-th hour The total column water vapor content TCWV, 10-meter U component, and 10-meter V component predicted by the meteorological model;

[0017] Calculate the wind speed and wind direction in the weather data based on the 10-meter U component and 10-meter V component.

[0018] Optionally, the meteorological ground-based observation data includes precipitation, wind speed, and wind direction; the real-time Doppler weather radar base data includes the echo intensity of severe convective weather, the reflectivity factor field, and the intensity of the air flow.

[0019] Optionally, stop the elimination operation according to the air quality ground-based observation data and a preset second criterion, including:

[0020] According to the air quality index AQI data in the real-time air quality ground-based observation data, the number K of air quality ground-based observation stations in the study area, and calculate the AQI average value in the region for each preset time period

[0021] For the AQI average value in the region for consecutive preset times When all meet the third criterion, the elimination operation is stopped, where the third criterion is:

[0022] Optionally, it further includes:

[0023] After the elimination operation stops, calculate the average precipitation of meteorological ground-based observation data in the study area during the time period, where is the implementation time length of the elimination operation;

[0024] Calculate the air quality index data in the air quality ground-based observation data in the study area during the time period;

[0025] According to the average precipitation and the air quality index data, determine the operation effect of the elimination plan.

[0026] According to another aspect of the present invention, there is provided an air pollution removal device, including:

[0027] A first determination module, configured to determine the first weather condition within the next D' days according to the air quality forecast data and meteorological model forecast data in the study area;

[0028] A first calculation module, configured to continuously calculate the second weather condition on the i''th day according to the air quality forecast data and meteorological model forecast data when the first weather condition meets the first criterion, where in the formula, D''' is 0, D'' is 3, and D' is 7;

[0029] A second determination module, configured to formulate an elimination operation for artificial rainfall enhancement to remove air pollutants when the second weather condition meets the first criterion, and determine the weather data at the j'th hour before the H'th hour during the elimination operation based on the meteorological model forecast data, where the weather data includes: total atmospheric column water vapor content, wind speed, and wind direction, in the formula, H'' and H' are taken as 0 and 6 respectively;

[0030] An adjustment module, configured to formulate an elimination plan for artificial rainfall enhancement to remove air pollutants according to the weather data, and adjust the elimination plan within the hour based on all real-time meteorological ground-based observation data and real-time Doppler weather radar base data at all stations in the study area;

[0031] An implementation module, configured to implement the elimination plan, and stop the elimination operation according to the air quality ground-based observation data and the preset second criterion.

[0032] According to still another aspect of the present invention, there is provided a computer-readable storage medium, where the storage medium stores a computer program, and the computer program is used to execute the method described in any one of the above aspects of the present invention.

[0033] According to another aspect of the present invention, there is provided an electronic device, which includes: a processor; a memory for storing executable instructions executable by the processor; and the processor for reading the executable instructions from the memory and executing the instructions to implement the method according to any one of the above aspects of the present invention.

[0034] Thus, by combining multiple forecast data and ground observation data, the present invention proposes a method for selecting suitable weather conditions to carry out artificial rain enhancement operations to eliminate atmospheric pollutants based on predicting regional heavy pollution events, and adjusts the operation plan through real-time data, achieving the technical effect of effectively eliminating air pollution. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The exemplary embodiments of the present invention can be more fully understood by reference to the following drawings:

[0036] Figure 1 is a schematic flowchart of a method for removing air pollution provided by an exemplary embodiment of the present invention;

[0037] Figure 2 is a schematic flowchart of a method for removing air pollution provided by an exemplary embodiment of the present invention;

[0038] Figure 3 is a schematic structural diagram of a device for removing air pollution provided by an exemplary embodiment of the present invention;

[0039] Figure 4 is the structure of an electronic device provided by an exemplary embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments of the present invention. It should be understood that the present invention is not limited by the exemplary embodiments described herein.

[0041] It should be noted that: unless otherwise specifically stated, the relative arrangements, numerical expressions and numerical values of the components and steps set forth in these embodiments do not limit the scope of the present invention.

[0042] Those skilled in the art can understand that the terms "first", "second", etc. in the embodiments of the present invention are only used to distinguish different steps, devices or modules, etc., and neither represent any specific technical meaning nor indicate an inevitable logical order between them.

[0043] It should also be understood that in the embodiments of the present invention, "a plurality" may refer to two or more, and "at least one" may refer to one, two or more.

[0044] It should also be understood that for any component, data, or structure mentioned in the embodiments of the present invention, in the absence of explicit definition or contrary indication in the context, it can generally be understood as one or more.

[0045] In addition, the term "and / or" in the present invention is merely a description of the association relationship between associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in the present invention generally represents an "or" relationship between the associated objects before and after.

[0046] It should also be understood that the present invention emphasizes the differences between the various embodiments. The same or similar parts can be referred to each other. For the sake of brevity, they will not be elaborated one by one.

[0047] At the same time, it should be understood that for the convenience of description, the dimensions of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0048] The following description of at least one exemplary embodiment is actually only illustrative and in no way a limitation on the present invention and its application or use.

[0049] Techniques, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and devices should be regarded as part of the specification.

[0050] It should be noted that like reference numerals and letters in the following drawings represent similar items. Therefore, once an item is defined in one drawing, it does not need to be further discussed in subsequent drawings.

[0051] The embodiments of the present invention can be applied to electronic devices such as terminal devices, computer systems, servers, etc., which can operate with many other general or special computing system environments or configurations. Examples of well-known terminal devices, computing systems, environments, and / or configurations suitable for use with electronic devices such as terminal devices, computer systems, servers, etc. include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, handheld or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network personal computers, minicomputer systems, mainframe computer systems, and distributed cloud computing technology environments including any of the above systems, and so on.

[0052] Electronic devices such as terminal devices, computer systems, and servers can be described in the general context of computer system-executable instructions (such as program modules) executed by a computer system. Generally, program modules can include routines, programs, object programs, components, logics, data structures, etc., which perform specific tasks or implement specific abstract data types. The computer system / server can be implemented in a distributed cloud computing environment where tasks are executed by remote processing devices linked through a communication network. In a distributed cloud computing environment, program modules can be located on local or remote computing system storage media including storage devices.

[0053] Exemplary method

[0054] Figure 1 It is a schematic flow chart of a method for clearing air pollution provided by an exemplary embodiment of the present invention. This embodiment can be applied to an electronic device, such as Figure 1 As shown, the air pollution clearing method 100 includes the following steps:

[0055] Step 101, determine the first weather condition within the next D' days according to the air quality forecast data and meteorological model forecast data in the research area;

[0056] Step 102, when the first weather condition meets the first criterion, continuously calculate the second weather condition on the i''-th day according to the air quality forecast data and meteorological model forecast data, where In the formula, D''' is 0, D'' is 3, and D' is 7;

[0057] Step 103, when the second weather condition meets the first criterion, formulate an elimination operation for artificial rainfall enhancement to eliminate air pollutants, and based on the meteorological model forecast data, determine the weather data at the j'-th hour before the H'-th hour of the elimination operation, where the weather data includes: total atmospheric column water vapor content, wind speed, and wind direction, In the formula, H'' and H' are taken as 0 and 6 respectively;

[0058] Step 104, formulate an elimination plan for artificial rainfall enhancement to eliminate air pollutants according to the weather data, and within the hour, adjust the elimination plan based on the real-time meteorological ground-based observation data and real-time Doppler weather radar base data of all stations in the research area;

[0059] Step 105, implement the elimination plan, and stop the elimination operation according to the air quality ground-based observation data and the preset second criterion.

[0060] Specifically, the present invention combines various forecast data and ground observation data, and proposes an operation method for artificial rain enhancement to eliminate atmospheric pollutants by selecting suitable weather conditions based on the prediction of regional heavy pollution events.

[0061] The required data includes: air quality forecast data including air quality products; meteorological model forecast data including precipitation and total column water vapor content in the atmosphere; meteorological ground observation data including hourly data such as precipitation and wind speed; air quality ground observation data including hourly air quality products; Doppler weather radar base data including echo intensity of severe convective weather, reflectivity factor field, and intensity of air flow. Refer to Figure 2 As shown, the specific implementation steps are as follows:

[0062] (1) Determine the pollution in the next D' days

[0063] For the research area grid M×N with a resolution of 1 km, where M and N represent the number of rows and columns of the grid respectively; determine the air pollution situation in the next D' days based on the air quality forecast data.

[0064] Resample the air quality forecast data to the same grid as the research area M×N to obtain the daily average value of the air quality AQI in the i'-th day

[0065] Combined with the meteorological model forecast data, resample the meteorological model forecast data to the same grid as the research area M×N, and synchronously determine the regional average value of the daily precipitation total PRE (mm) and the regional average value of the daily total column water vapor content TCWV (kg / m ) in the next D' days. (kg / m 2 )

[0066] If the air pollution reaches the preset threshold (ω1 = 150) and is above moderate pollution, and the regional average value of the daily total column water vapor content and the regional average value of the daily precipitation total meet the precipitation conditions, then start the operation plan for artificial rain enhancement to eliminate atmospheric pollutants.

[0067] Continuously determine the daily average value of the air quality AQI in the i''-th day based on the air quality forecast data the regional average value of the daily precipitation total PRE (mm) and the regional average value of the daily total column water vapor content TCWV (kg / m2).

[0068] If the air pollution reaches above moderate pollution, and the regional average value of the daily total column water vapor content ​​Regional mean of daily precipitation total If the precipitation condition is met, an artificial rain enhancement operation to eliminate atmospheric pollutants is formulated; D”', D”, D' are respectively taken as 0, 3, 7, and ω1, ω2, ω3 are respectively taken as 150, 0.5, 0.

[0069]

[0070] (2) Before the H' hour of artificial rain enhancement, obtain the data at the j' hour The meteorological model forecasts the total column water vapor content TCWV of the atmosphere, the 10-meter U component (U 10 ) and the 10-meter V component (V 10 ) hourly data, resample it to the same grid as the study area M×N to obtain the total column water vapor content TCWV of the atmosphere, the 10-meter U component (U 10 ) and the 10-meter V component (V 10 ) hourly data at the j' hour, corresponding to YCWV j' 、 According to Calculate the wind speed WS from the two components j' and the wind direction WD j' .

[0071]

[0072] According to TCWV j' 、WS j' and WD j' Formulate an artificial rain enhancement operation plan to eliminate atmospheric pollutants, and select catalysts and operation methods.

[0073] Within the hour, combine the real-time meteorological ground-based observation data of all stations within the region, including precipitation PRE0, wind speed WS0, and wind direction WD0 data, as well as the real-time Doppler weather radar base data, including severe convective weather echo intensity, reflectivity factor field, and air flow intensity, to monitor the precipitation evolution status in real time to adjust the artificial rain enhancement operation plan to eliminate atmospheric pollutants.

[0074] During the implementation process, according to the air quality index AQI data in the real-time air quality ground-based observation data, the number K of air quality ground-based observation stations in the study area, calculate the mean value of AQI in the region:

[0075]

[0076] In the formula, represents the real-time air quality index of the ground point k, which is updated every ten minutes at the start of the implementation The count a increases. If for three consecutive time steps, stop the operation, and the total implementation time Hours; H and H' take 0 and 6 respectively.

[0077] (3) Calculate Precipitation of meteorological ground observation data in the study area during the time period Based on the number of meteorological ground observation stations Z in the study area, calculate the mean value of the precipitation PRE at the h-th hour in the area as:

[0078]

[0079] According to Compare the change in precipitation before and after the operation in the operation area; similarly, based on the air quality index data in the air quality ground observation data Compare the change in the air quality index before and after the operation in the operation area;

[0080]

[0081] H' before implementation, during implementation Hour-by-hour of H' after implementation Thus, evaluate the effect of the artificial rainfall enhancement operation to eliminate air pollutants.

[0082] Therefore, the present invention combines multiple forecast data and ground observation data, proposes an operation method for artificial rainfall enhancement to eliminate air pollutants based on predicting strong pollution events in the prediction area, and adjusts the operation plan through real-time data, achieving the technical effect of effectively eliminating air pollution.

[0083] Exemplary device

[0084] Figure 3 It is a schematic structural diagram of an air pollution removal device provided by an exemplary embodiment of the present invention. As Figure 3 shown, the device 300 includes:

[0085] The first determination module 310 is used to determine the first weather condition within the next D' days according to the air quality forecast data and meteorological model forecast data in the study area;

[0086] The first calculation module 320 is used to continuously calculate the second weather condition on the i''-th day according to the air quality forecast data and meteorological model forecast data when the first weather condition meets the first criterion, where In the formula, D''' is 0, D'' is 3, and D' is 7;

[0087] The second determination module 330 is configured to formulate an elimination operation for artificial rainfall enhancement to eliminate atmospheric pollutants when the second weather condition meets the first criterion, and determine the weather data at the j'-th hour before the H'-th hour of the elimination operation based on the meteorological model prediction data, where the weather data includes: total column water vapor content in the atmosphere, wind speed, and wind direction. In the formula, H” and H' are respectively 0 and 6.

[0088] The adjustment module 340 is configured to formulate an elimination plan for artificial rainfall enhancement to eliminate atmospheric pollutants according to the weather data, and adjust the elimination plan within the hour based on the real-time meteorological ground-based observation data and real-time Doppler weather radar base data of all stations within the study area.

[0089] The implementation module 350 is configured to implement the elimination plan and stop the elimination operation according to the air quality ground-based observation data and the preset second criterion.

[0090] Optionally, the first determination module 310 includes:

[0091] The first acquisition sub-module is configured to resample the air quality prediction data onto the grid data of the study area to obtain the daily average value of the air quality AQI in the region on the i'-th day.

[0092] The second acquisition sub-module is configured to resample the meteorological model prediction data onto the grid data to obtain the regional average value of the total daily precipitation PRE in the next D' days. And the regional average value of the total column water vapor content TCWV in the atmosphere per day.

[0093] The determination sub-module is configured to determine the first weather condition within the next D' days according to the regional average value of the total daily precipitation PRE and the regional average value of the total column water vapor content TCWV in the atmosphere per day. Determine the first weather condition within the next D' days.

[0094] Optionally, the first criterion is: And And In the formula, ω1, ω2, and ω3 are respectively 150, 0.5, and 0.

[0095] Optionally, in the second determination module 330, determining the weather data at the j'-th hour before the H'-th hour of the elimination operation based on the meteorological model prediction data includes:

[0096] The acquisition sub-module is configured to acquire the total column water vapor content TCWV, 10-meter U component, and 10-meter V component predicted by the meteorological model at the j'-th hour. The total column water vapor content TCWV, 10-meter U component, and 10-meter V component predicted by the meteorological model at the j'-th hour.

[0097] A calculation sub-module, configured to calculate the wind speed and wind direction in weather data based on the 10-meter U component and the 10-meter V component.

[0098] Optionally, the meteorological ground-based observation data includes precipitation, wind speed, and wind direction; the real-time Doppler weather radar-based data includes the echo intensity of severe convective weather, the reflectivity factor field, and the intensity of the air flow.

[0099] Optionally, in the implementation module 350, stopping the elimination operation according to the air quality ground-based observation data and a preset second criterion includes:

[0100] A calculation sub-module, configured to calculate the average AQI in the region at each preset time period according to the air quality index AQI data in the real-time air quality ground-based observation data and the number K of air quality ground-based observation stations in the study area.

[0101] A judgment sub-module, configured to stop the elimination operation when the average AQI in the region for a continuous preset number of times all meet the third criterion, where the third criterion is:

[0102] Optionally, the device 300 further includes:

[0103] A second calculation module, configured to calculate, after the elimination operation stops, the average precipitation of the meteorological ground-based observation data in the study area during the time period, where is the implementation time length of the elimination operation;

[0104] A third calculation module, configured to calculate the air quality index data in the air quality ground-based observation data in the study area during the time period;

[0105] A third determination module, configured to determine the operation effect of the elimination scheme according to the average precipitation and the air quality index data.

[0106] Exemplary electronic device

[0107] Figure 4 is the structure of an electronic device provided by an exemplary embodiment of the present invention. As Figure 4 shown, the electronic device 40 includes one or more processors 41 and a memory 42.

[0108] The processor 41 may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0109] The memory 42 may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage media, and the processor 41 may run the program instructions to implement the methods of the software programs of the various embodiments of the present invention described above and / or other desired functions. In one example, the electronic device may further include: an input device 43 and an output device 44, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown).

[0110] In addition, the input device 43 may further include, for example, a keyboard, a mouse, and so on.

[0111] The output device 44 may output various information to the outside. The output device 44 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, and so on.

[0112] Of course, for simplicity, Figure 4 only some of the components related to the present invention in the electronic device are shown, and components such as buses, input / output interfaces, etc. are omitted. In addition, according to specific application situations, the electronic device may further include any other appropriate components.

[0113] Exemplary computer program product and computer-readable storage medium

[0114] In addition to the above methods and devices, embodiments of the present invention may also be computer program products, which include computer program instructions that, when run by a processor, cause the processor to execute the steps in the methods according to various embodiments of the present invention described in the "Exemplary Methods" section above of this specification.

[0115] The computer program products may be written in any combination of one or more programming languages for programming code to perform the operations of the embodiments of the present invention. The programming languages include object-oriented programming languages, such as Java, C++, etc., and also include conventional procedural programming languages, such as the "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, executed as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0116] In addition, an embodiment of the present invention may also be a computer-readable storage medium storing computer program instructions, which, when run by a processor, cause the processor to execute the steps in the methods according to various embodiments of the present invention described in the "Exemplary Methods" section above of this specification.

[0117] The computer-readable storage medium may adopt any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. The readable storage medium may, for example, include but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0118] The basic principles of the present invention have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, benefits, effects, etc. mentioned in the present invention are only examples and not limitations, and it cannot be considered that these advantages, benefits, effects, etc. are essential for each embodiment of the present invention. In addition, the above-disclosed specific details are only for the purpose of illustration and facilitating understanding, rather than limitations. The above details do not limit the present invention to necessarily adopt the above specific details for implementation.

[0119] Each embodiment in this specification is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. For the same or similar parts among the embodiments, reference may be made to each other. For system embodiments, since they basically correspond to method embodiments, the description is relatively simple, and reference may be made to the relevant parts of the method embodiments for the relevant content.

[0120] The block diagrams of the devices, systems, apparatuses, and systems involved in the present invention are only illustrative examples and do not intend to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, systems, apparatuses, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open-ended words, meaning "including but not limited to", and can be used interchangeably with each other. The words "or" and "and" used herein refer to the word "and / or" and can be used interchangeably with each other, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to" and can be used interchangeably with each other.

[0121] The methods and systems of the present invention can be implemented in many ways. For example, the methods and systems of the present invention can be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present invention are not limited to the specific order described above, unless otherwise specifically stated. In addition, in some embodiments, the present invention can also be implemented as a program recorded in a recording medium, and these programs include machine-readable instructions for implementing the method according to the present invention. Therefore, the present invention also covers a recording medium storing a program for executing the method according to the present invention.

[0122] It should also be noted that in the systems, devices, and methods of the present invention, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of the present invention. The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the present invention. Therefore, the present invention is not intended to be limited to the aspects shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0123] The above description has been presented for purposes of illustration and description. In addition, this description is not intended to limit the embodiments of the present invention to the form disclosed herein. Although several example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.

Claims

1. A method for removing air pollution, characterized in that: include: Determine the first weather conditions within the next D' days based on the air quality forecast data and meteorological model forecast data in the study area; When the first weather condition satisfies the first criterion, the second weather condition of the "i"th day is continuously calculated according to the air quality forecast data and the meteorological model forecast data, wherein Where D'' is 0, D' is 3, and D' is 7; In the case where the second weather condition satisfies the first criterion, an elimination operation of eliminating atmospheric pollutants by artificial rainfall enhancement is formulated, and weather data at the j'th hour before the H'th hour of the elimination operation is determined based on the weather model forecast data, wherein the weather data includes: total column water vapor content of the atmosphere, wind speed and wind direction, In the formula, H” and H’ are 0 and 6 respectively; Formulate a plan for artificial rainfall to eliminate atmospheric pollutants based on the weather data and Within 1 hour, the elimination scheme is adjusted based on the real-time meteorological ground-based observation data and real-time Doppler weather radar data of all stations in the study area; The elimination plan is implemented, and the elimination operation is stopped according to the ground-based observation data of air quality and a preset second criterion.

2. The method according to claim 1, characterized in that Based on the air quality forecast data and meteorological model forecast data in the study area, determine the first weather conditions in the next D' days, including: Resample the air quality forecast data to the grid data of the study area to obtain the regional daily average value of the air quality AQI on the i'th day Resample the weather model forecast data to the grid data to obtain the regional mean of the total daily precipitation PRE for the next D' days and the regional mean of daily total column water vapor content TCWV According to the regional daily average value of air quality AQI The daily precipitation total PRE regional mean And the regional average of the daily total column water vapor content TCWV The first weather condition within the next D' days is determined.

3. The method according to claim 2, characterized in that The first criterion is: and and Where ω1, ω2, and ω3 are 150, 0.5, and 0 respectively.

4. The method according to claim 1, characterized in that: Based on the weather model forecast data, determining the weather data at the j'th time before the H'th time of the elimination operation includes: When obtaining the j'th time ( ) Total column water vapor content TCWV, 10-meter U component and 10-meter V component predicted by meteorological models; The wind speed and the wind direction in the weather data are calculated based on the 10-meter U component and the 10-meter V component.

5. The method according to claim 1, characterized in that The meteorological ground-based observation data include precipitation, wind speed and wind direction; the real-time Doppler weather radar-based data include the intensity of severe convective weather echoes, reflectivity factor fields and the intensity of airflow.

6. The method according to claim 1, characterized in that According to the ground-based observation data of air quality and the preset second criterion, the elimination operation is stopped, including: According to the air quality index AQI data in the real-time ground-based air quality observation data, the number of ground-based air quality observation stations K in the study area, the AQI mean in the area is calculated for each preset time period The average AQI value in the area for a preset number of consecutive times When the third criterion is satisfied, the elimination operation is stopped, wherein the third criterion is:

7. The method according to claim 1, characterized in that Also includes: After the elimination operation stops, calculate The mean precipitation value of the meteorological ground-based observation data in the study area during the time period, where The length of time for carrying out the elimination operation; calculate Air quality index data from ground-based observation data of air quality in the study area during the time period; The operational effect of the elimination scheme is determined based on the precipitation mean and the air quality index data.

8. An air pollution removal device, characterized in that: include: The first determination module is used to determine the first weather condition within the next D' days according to the air quality forecast data and the meteorological model forecast data in the study area; The first calculation module is used to continuously calculate the second weather condition of the "i"th day according to the air quality forecast data and the meteorological model forecast data when the first weather condition meets the first criterion, wherein Where D'' is 0, D' is 3, and D' is 7; a second determination module, for formulating an elimination operation of eliminating atmospheric pollutants by artificial rainfall enhancement when the second weather condition satisfies the first criterion, and determining weather data at the j'th hour before the H'th hour of the elimination operation based on the meteorological model forecast data, wherein the weather data includes: total column water vapor content of the atmosphere, wind speed and wind direction, In the formula, H” and H’ are 0 and 6 respectively; The adjustment module is used to formulate an elimination plan for eliminating atmospheric pollutants by artificial rainfall according to the weather data, and Within 1 hour, the elimination scheme is adjusted based on the real-time meteorological ground-based observation data and real-time Doppler weather radar data of all stations in the study area; The implementation module is used to implement the elimination plan and stop the elimination operation according to the ground-based observation data of air quality and a preset second criterion.

9. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and the computer program is used to execute the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1 to 7.

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