Method and device for determining biomass combustion ignition point, computer equipment and medium

Abstract

Embodiments of the present application provide a biomass burning fire point determination method and device, computer equipment and medium, relating to the technical field of atmospheric environment remote sensing monitoring, wherein the method comprises: obtaining the column concentration of atmospheric trace gas, the atmospheric trace gas profile, the land use type and the biomass burning related data of the to-be-monitored area; calculating the near-surface atmospheric trace gas column concentration according to the column concentration of atmospheric trace gas and the atmospheric trace gas profile; determining the abnormal high value grid in the near-surface atmospheric trace gas column concentration according to the spatio-temporal variability of the near-surface atmospheric trace gas column concentration; verifying the biomass burning rationality of the abnormal high value grid through the land use and biomass burning related data, and determining the abnormal high value grid verified by the biomass burning rationality as the biomass burning fire point. The scheme can improve the accuracy and effectiveness of biomass burning fire point determination.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of atmospheric environment remote sensing monitoring, and in particular to a biomass burning fire point determination method and device, computer equipment and a medium. BACKGROUND

[0002] The mainstream method for current biomass burning fire point monitoring is the brightness temperature threshold method, which is based on thermal infrared band radiation value to retrieve the surface brightness temperature, and screens the thermal anomaly points by setting the temperature threshold or using the kernel function. Due to the interference of solar reflection, high-temperature ground and other factors on the thermal infrared band radiation value, and the insensitivity to smoldering fires, the monitoring results of this method have the problem of inaccurate pseudo-fire points and missed fire points. SUMMARY

[0003] Therefore, the present application provides a biomass burning fire point determination method to solve the problem of inaccurate monitoring results in the prior art. The method comprises:

[0004] Obtaining the column concentration of atmospheric trace gases, the atmospheric trace gas profile, the land use data and the biomass burning related data of the area to be monitored;

[0005] According to the column concentration of atmospheric trace gases and the atmospheric trace gas profile, the near-surface atmospheric trace gas column concentration is calculated;

[0006] According to the spatial and temporal variability of the near-surface atmospheric trace gas column concentration, the abnormal high-value grid in the near-surface atmospheric trace gas column concentration is determined;

[0007] The biomass burning rationality of the abnormal high-value grid is verified through the land use data and the biomass burning related data, and the abnormal high-value grid that passes the biomass burning rationality verification is determined as the biomass burning fire point.

[0008] The present application also provides a biomass burning fire point determination device to solve the problem of inaccurate monitoring results in the prior art. The device comprises:

[0009] The data acquisition module is configured to obtain the column concentration of atmospheric trace gases, the atmospheric trace gas profile, the land use data and the biomass burning related data of the area to be monitored;

[0010] The calculation module is configured to calculate the near-surface atmospheric trace gas column concentration according to the column concentration of atmospheric trace gases and the atmospheric trace gas profile;

[0011] The burning fire point screening module is configured to determine the abnormal high-value grid in the near-surface atmospheric trace gas column concentration according to the spatial and temporal variability of the near-surface atmospheric trace gas column concentration;

[0012] The burning fire point determination module is configured to verify the biomass burning rationality of the abnormal high-value grid by using the land use data and the biomass burning related data, and determine the abnormal high-value grid that passes the biomass burning rationality verification as the biomass burning fire point.

[0013] The embodiment of the present application also provides a computer device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the biomass burning fire point determination method described above when executing the computer program, so as to solve the technical problem of inaccurate monitoring result in the prior art.

[0014] The embodiment of the present application also provides a computer readable storage medium, which stores a computer program for executing the biomass burning fire point determination method described above, so as to solve the technical problem of inaccurate monitoring result in the prior art.

[0015] Compared with the prior art, the above at least one technical solution adopted by the embodiment of the present application can achieve at least the following beneficial effects: the biomass burning fire point is determined by using atmospheric trace gases, a large amount of atmospheric trace gases is generated in the biomass burning process, the atmospheric trace gases are strongly correlated with the biomass burning, so that the biomass burning fire point is determined based on the atmospheric trace gases, which is beneficial to improve the accuracy; since the atmospheric trace gases are not interfered by the sun reflection, high-temperature ground and the like, the atmospheric trace gases can also be applied to smoldering fires, so that the problem of false fire points and missed fire points in the monitoring result in the existing method can be effectively solved; in addition, the abnormal high-value is determined in the near-surface atmospheric trace gas column concentration according to the spatio-temporal variability of the near-surface atmospheric trace gas column concentration, and the biomass burning rationality of the abnormal high-value is verified in combination with the land use data and the biomass burning related data (such as phenology data and the like), so as to further improve the accuracy and effectiveness of the biomass burning fire point determination. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without any creative effort.

[0017] Figure 1 is a flowchart of a biomass burning fire point determination method provided by the embodiment of the present application;

[0018] Figure 2 is a schematic diagram of a grid detection window provided by the embodiment of the present application;

[0019] Figure 3This is a structural block diagram of a computer device provided in an embodiment of the present invention;

[0020] Figure 4 This is a structural block diagram of a biomass incineration ignition point determination device provided in an embodiment of the present invention. Detailed Implementation

[0021] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0022] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. This application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0023] In this embodiment of the invention, a method for determining the ignition point of biomass incineration is provided, such as... Figure 1 As shown, the method includes:

[0024] Step S101: Obtain column concentrations of atmospheric trace gases, atmospheric trace gas profiles, land use data, and biomass incineration-related data for the area to be monitored;

[0025] Step S102: Calculate the near-surface atmospheric trace gas column concentration based on the column concentration of the atmospheric trace gas and the atmospheric trace gas profile;

[0026] Step S103: Based on the spatiotemporal variability of near-surface atmospheric trace gas column concentrations, identify abnormally high values ​​in the near-surface atmospheric trace gas column concentrations.

[0027] Step S104: Verify the rationality of biomass incineration with the land use and biomass incineration related data, and determine the abnormally high value grids that have passed the biomass incineration rationality verification as biomass incineration ignition points.

[0028] Depend on Figure 1As shown in the flowchart, this embodiment of the invention proposes using atmospheric trace gases to determine biomass combustion ignition points. Since biomass combustion generates a large amount of atmospheric trace gases, and these gases are strongly correlated with biomass combustion, determining biomass combustion ignition points based on atmospheric trace gases is beneficial for improving accuracy. Because atmospheric trace gases are not affected by solar reflection or high-temperature ground surfaces, they can also be applied to smoldering fires, effectively solving the problems of false ignition points and missed ignition points in existing methods. Furthermore, it proposes identifying abnormally high values ​​in the near-surface atmospheric trace gas column concentration based on the spatiotemporal variability of the concentration, and verifying the rationality of biomass combustion with these abnormally high values ​​by combining land use data and biomass combustion-related data, thereby further improving the accuracy and effectiveness of biomass combustion ignition point determination.

[0029] The inventors of this application have discovered that biomass incineration generates a large amount of atmospheric trace gases, such as nitrogen-containing compounds and sulfur-containing compounds. These primary pollutants undergo complex photochemical reactions in the atmosphere to generate secondary pollutants, weakening solar radiation intensity, reducing biodiversity, and harming human health. The applicant proposes using atmospheric trace gases strongly correlated with biomass incineration to determine and monitor biomass incineration ignition points, thereby improving monitoring accuracy. Specifically, atmospheric trace gases can include atmospheric ammonia, nitrogen oxides, etc.

[0030] In practice, the atmospheric trace gas column concentration is the total vertical column concentration of each pixel in the m rows and n columns of the ground, which may include the overall column concentration of atmospheric trace gases or the tropospheric column concentration of atmospheric trace gases.

[0031] In practice, the atmospheric trace gas profile represents the vertical distribution of atmospheric trace gases from various emission sources under different meteorological conditions. This profile can include satellite remote sensing profiles or ground-based remote sensing lidar profiles. To accurately calculate the atmospheric trace gas profile, this embodiment proposes calculating it based on emission source factors, meteorological factors, and the chemical formation and transformation processes of pollutants within the monitored area.

[0032] In practice, emission source factors can include emission source height, emission source type, and emission intensity. Meteorological factors can include temperature, humidity, atmospheric pressure, wind speed, and wind direction. The chemical formation and transformation processes of pollutants can include the secondary formation and conversion rate of pollutants.

[0033] In practical implementation, to further calculate the atmospheric trace gas profile more efficiently and accurately, this embodiment proposes a function to calculate the atmospheric trace gas profile based on emission source factors, meteorological factors, and the chemical formation and transformation process of pollutants in the monitored area. The formula is as follows:

[0034]

[0035] in, Indicates the first i Trace gases in the atmosphere in the first Class I emission sources, Meteorological factors and the first The vertical profile of a chemical transformation process, where F() is a Gaussian model function.

[0036] In practical implementation, the inventors of this application discovered that the overall or tropospheric column concentration of atmospheric trace gases mainly includes local emissions and regional upper-level transport, making it impossible to accurately characterize the column concentration of locally emitted atmospheric trace gases within the monitoring range. Therefore, this application proposes calculating the near-surface atmospheric trace gas column concentration, and then using this near-surface atmospheric trace gas column concentration to identify and monitor biomass combustion ignition points. The application proposes that the near-surface atmospheric trace gas column concentration is mainly obtained based on the overall or tropospheric column concentration of atmospheric trace gases and the atmospheric trace gas profile using the integration principle. For example...

[0037] Based on the height covered by the atmospheric trace gas column concentration and the near-ground height, calculate the proportion of the near-ground atmospheric trace gas profile integral to the total atmospheric trace gas profile integral of the entire layer or troposphere.

[0038] The near-surface atmospheric trace gas column concentration is calculated based on the proportion of the near-surface atmospheric trace gas profile integral to the total atmospheric trace gas profile integral of the entire layer or troposphere and the atmospheric trace gas column concentration.

[0039] In practical implementation, this application further proposes a formula for calculating the above ratio:

[0040]

[0041] in, Indicates the first i The proportion of the integral of the atmospheric trace gas profile from the ground to a preset height H to the integral of the atmospheric trace gas profile of the entire layer or troposphere. This represents the integral of the atmospheric trace gas profile from the ground to a preset height H. This represents the integral of the atmospheric trace gas profile of the entire layer or troposphere (i.e., the cumulative calculation of the atmospheric trace gas concentration distribution at vertical height, aiming to quantify the total content of atmospheric trace gases within a specific altitude range), where T is the total vertical height of the entire layer or troposphere.

[0042] In practice, the formula for calculating the near-surface atmospheric trace gas column concentration is as follows: based on the proportion of the near-surface atmospheric trace gas profile integral to the total atmospheric trace gas profile integral of the entire layer or troposphere and the atmospheric trace gas column concentration.

[0043]

[0044] in, Indicates the first i The near-surface concentration of a certain atmospheric trace gas (e.g., within the range of the ground to a predetermined height H). VCD i This indicates the concentration of trace gas columns in the entire or troposphere.

[0045] In practical implementation, if atmospheric trace gases are taken as ammonia and H is taken as 100 meters, the proportion of the near-surface atmospheric ammonia profile integral to the whole layer or tropospheric profile integral is determined by the integration principle based on the height covered by the atmospheric pollutant gas column concentration inversion and the near-surface height, as follows:

[0046]

[0047] in, This represents the proportion of the integral of the atmospheric ammonia profile from the ground to a height of 100 meters to the integral of the entire atmospheric ammonia profile in the troposphere. This represents the integral of the atmospheric ammonia profile from the ground to a height of 100 meters. This represents the integral of the ammonia profile in the entire troposphere or atmosphere.

[0048] The atmospheric ammonia column concentration from the ground to a height of 100 meters is calculated based on the proportion of the integral of the atmospheric ammonia profile from the ground to a height of 100 meters to the integral of the entire atmospheric ammonia profile or the tropospheric profile. The formula is as follows:

[0049]

[0050] in, This indicates the atmospheric ammonia column concentration from the ground to a height of 100 meters. This indicates the concentration of ammonia column in the entire atmosphere or troposphere.

[0051] In practical implementation, after obtaining the near-surface atmospheric trace gas column concentration, in order to accurately monitor suspected biomass burning hotspots, a method is proposed to determine anomaly high-value grids within the near-surface atmospheric trace gas column concentration based on its spatiotemporal variability. For example...

[0052] The near-surface atmospheric trace gas column concentration is divided into grid data. For each grid, the threshold of the grid is determined under the condition of considering spatiotemporal variability, based on the historical time series of the near-surface atmospheric trace gas column concentration of the grid and the statistical values ​​of the near-surface atmospheric trace gas column concentration of the grid and the surrounding grids.

[0053] If the actual atmospheric trace gas column concentration of the grid is greater than the threshold, the grid is identified as an abnormally high value grid.

[0054] Specifically, the process of determining the threshold of the grid considering spatiotemporal variability, based on the historical time series data of the near-surface atmospheric trace gas column concentration of the grid and the statistical values ​​of the near-surface atmospheric trace gas column concentration of the grid and surrounding grids, can be achieved through the following formula:

[0055]

[0056] in, t (like Figure 2 As shown, t can be any grid in grids a, b, c, d...h, i, etc. It represents the maximum non-fire point value in the historical time series of near-surface atmospheric trace gas column concentrations at a given grid location. It can be the maximum non-fire point near-surface atmospheric trace gas column concentration in the time series of near-surface atmospheric trace gas column concentrations for that grid over many years, or other time series that can represent the near-surface atmospheric trace gas column concentrations under normal emission conditions for that grid. s This is a statistical value (e.g., N times the variance or N times the standard deviation) of the near-surface atmospheric trace gas column concentration of a certain grid and its surrounding grids. For example, taking grid e as an example, it is the N times the variance or standard deviation of the near-surface atmospheric trace gas column concentration of 9 or more grids (a, b, c, d...h, i) surrounding grid e. The number of grids surrounding grid e can be determined according to specific actual needs. V This represents the threshold of the grid considering spatiotemporal variability. The function f can be a maximum value function; therefore, the maximum value between s and t is determined as the threshold of the grid.

[0057] In practice, after identifying suspected biomass burning hotspots or abnormally high-value grids, to further improve the accuracy of biomass burning hotspot monitoring, it is proposed to verify the rationality of biomass burning in the abnormally high-value grids using the land use data and biomass burning-related data. The abnormally high-value grids that pass the biomass burning rationality verification are then designated as biomass burning hotspots. For example...

[0058] If the abnormally high-value grid falls within the cultivated land area (it can be determined whether it falls within a certain land use area based on the location coordinates of the abnormally high-value grid), and the time is between the harvest of the previous crop and the planting of the next crop, then the abnormally high-value grid is determined to be a biomass burning hotspot with a confidence level greater than 90%.

[0059] If the abnormally high value grid falls within the forest area, then the abnormally high value grid is determined to be a biomass burning hotspot with a confidence level greater than 90%.

[0060] If the abnormally high value grid falls within the cultivated land area, but the time is between crop planting and harvesting, then the abnormally high value grid is determined not to be a biomass burning hotspot.

[0061] If the abnormally high value grid falls within a land use area that does not include vegetation, then the abnormally high value grid is determined not to be a biomass burning hotspot.

[0062] In this embodiment, a computer device is provided, such as... Figure 3 As shown, it includes a memory 301, a processor 302, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method for determining any of the above-mentioned biomass incineration ignition points.

[0063] Specifically, the computer device can be a computer terminal, a server, or a similar computing device.

[0064] In this embodiment, a computer-readable storage medium is provided, which stores a computer program that performs any of the above-described methods for determining biomass incineration ignition points.

[0065] Specifically, computer-readable storage media include both permanent and non-permanent, removable and non-removable media, which can store information using any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer-readable storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable storage media do not include transient media, such as modulated data signals and carrier waves.

[0066] Based on the same inventive concept, this invention also provides a device for determining the biomass incineration ignition point, as described in the following embodiments. Since the principle of the biomass incineration ignition point determination device is similar to that of the biomass incineration ignition point determination method, the implementation of the biomass incineration ignition point determination device can refer to the implementation of the biomass incineration ignition point determination method, and repeated details will not be elaborated further. The terms "unit" or "module" used below can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0067] Figure 4 This is a structural block diagram of a biomass incineration ignition point determination device according to an embodiment of the present invention, such as... Figure 4 As shown, it includes:

[0068] The data acquisition module 401 is used to acquire column concentrations of atmospheric trace gases, atmospheric trace gas profiles, land use data, and biomass incineration-related data of the area to be monitored.

[0069] Calculation module 402 is used to calculate the near-surface atmospheric trace gas column concentration based on the column concentration of the atmospheric trace gas and the atmospheric trace gas profile.

[0070] The incineration ignition point screening module 403 is used to determine the abnormally high value grid in the near-ground atmospheric trace gas column concentration based on the spatiotemporal variability of the near-ground atmospheric trace gas column concentration.

[0071] The burning hotspot determination module 404 is used to verify the rationality of biomass burning of the abnormal high-value grids through the land use data and biomass burning related data, and to determine the abnormal high-value grids that have passed the biomass burning rationality verification as biomass burning hotspots.

[0072] In one embodiment, the data acquisition module is used to calculate the atmospheric trace gas profile based on the emission source factors, meteorological factors, and chemical generation and transformation processes of pollutant gases in the area to be monitored.

[0073] In one embodiment, the data acquisition module is configured to calculate the atmospheric trace gas profile using the following formula:

[0074]

[0075] in, Indicates the first i Trace gases in the atmosphere in the first Class I emission sources, Meteorological factors and the first The vertical profile under the chemical conversion rate condition, where F() is the Gaussian model function.

[0076] In one embodiment, the calculation module is used to calculate the proportion of the near-surface atmospheric trace gas profile integral to the total atmospheric trace gas profile integral of the entire layer or troposphere, based on the height covered by the atmospheric trace gas column concentration and the near-surface height; and to calculate the near-surface atmospheric trace gas column concentration based on the proportion of the near-surface atmospheric trace gas profile integral to the total atmospheric trace gas profile integral of the entire layer or troposphere and the atmospheric trace gas column concentration.

[0077] In one embodiment, the calculation module is used to calculate the proportion of the near-surface atmospheric trace gas profile integral to the total atmospheric trace gas profile integral of the entire layer or troposphere using the following formula:

[0078]

[0079] in, Indicates the first i The proportion of the integral of the atmospheric trace gas profile from the ground to a preset height H to the integral of the atmospheric trace gas profile of the entire layer or troposphere. This represents the integral of the atmospheric trace gas profile from the ground to a preset height H. It represents the integral of the trace gas profile of the entire or tropospheric atmosphere, where T is the total vertical height of the entire or tropospheric atmosphere.

[0080] In one embodiment, the incineration ignition point screening module is used to divide the near-surface atmospheric trace gas column concentration into grid data. For each grid, based on the historical time series of the near-surface atmospheric trace gas column concentration of the grid and the statistical values ​​of the near-surface atmospheric trace gas column concentration of the surrounding grids, a threshold value for the grid is determined under the condition of considering spatiotemporal variability. If the actual atmospheric trace gas column concentration of the grid is greater than the threshold value, the grid is identified as an abnormally high value grid.

[0081] In one embodiment, the biomass burning hotspot determination module is configured to determine the abnormally high-value grid as a biomass burning hotspot with a confidence level greater than 90% if the abnormally high-value grid falls within cultivated land and the time falls between the harvest of the previous crop and the planting of the next crop; if the abnormally high-value grid falls within forest land, it is determined as a biomass burning hotspot with a confidence level greater than 90%; if the abnormally high-value grid falls within cultivated land but the time falls between the planting and harvesting of crops, it is determined as not a biomass burning hotspot; and if the abnormally high-value grid falls within land use areas excluding vegetation (such as construction land, water bodies, etc.), it is determined as not a biomass burning hotspot.

[0082] The embodiments of this invention achieve the following technical effects: First, it proposes using atmospheric trace gases to determine biomass combustion ignition points. Since biomass combustion generates a large amount of atmospheric trace gases, and these gases are strongly correlated with biomass combustion, determining ignition points based on atmospheric trace gases improves accuracy. Second, because atmospheric trace gases are unaffected by solar reflection or high-temperature ground surfaces, they can also be applied to smoldering fires, effectively solving the problems of false and missed ignition points in existing methods. Third, it proposes identifying anomaly high-value grids based on the spatiotemporal variability of near-surface atmospheric trace gas column concentrations, and verifying the rationality of biomass combustion within these anomaly high-value grids by combining land use data and biomass combustion-related data, thereby further improving the accuracy and effectiveness of biomass combustion ignition point determination.

[0083] Obviously, those skilled in the art should understand that the modules or steps of the above-described embodiments of the present invention can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented here, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the embodiments of the present invention are not limited to any particular hardware and software combination.

[0084] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, various modifications and variations can be made to the embodiments of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for determining the ignition point of biomass incineration, characterized in that, include: Acquire column concentrations of atmospheric trace gases, atmospheric trace gas profiles, land use data, and biomass incineration-related data for the area to be monitored; Calculate the near-surface atmospheric trace gas column concentration based on the column concentration of the atmospheric trace gas and the atmospheric trace gas profile. Based on the spatiotemporal variability of near-surface atmospheric trace gas column concentrations, anomaly high value grids are identified within the near-surface atmospheric trace gas column concentrations. The rationality of biomass incineration in the abnormally high-value grids is verified by the land use data and biomass incineration-related data. The abnormally high-value grids that pass the biomass incineration rationality verification are identified as biomass incineration hotspots. Based on the spatiotemporal variability of near-surface atmospheric trace gas column concentrations, anomaly high value grids are identified within the near-surface atmospheric trace gas column concentrations, including: The near-surface atmospheric trace gas column concentration is divided into grid data. For each grid, the threshold of the grid is determined under the condition of considering spatiotemporal variability, based on the historical time series of the near-surface atmospheric trace gas column concentration of the grid and the statistical values ​​of the near-surface atmospheric trace gas column concentration of the grid and the surrounding grids. If the actual atmospheric trace gas column concentration of the grid is greater than the threshold, the grid is identified as an abnormally high value grid. The rationality of biomass burning in the abnormally high-value grids is verified using the land use data and biomass burning-related data. The abnormally high-value grids that pass the biomass burning rationality verification are identified as biomass burning hotspots, including: If the abnormally high-value grid falls within the cultivated land area and the time falls between the harvest of the previous crop and the planting of the next crop, then the abnormally high-value grid is determined to be a biomass burning hotspot with a confidence level greater than 90%. If the abnormally high value grid falls within the forest area, then the abnormally high value grid is determined to be a biomass burning hotspot with a confidence level greater than 90%. If the abnormally high value grid falls within the cultivated land area, but the time is between crop planting and harvesting, then the abnormally high value grid is determined not to be a biomass burning hotspot. If the abnormally high value grid falls within a land use area that does not include vegetation, then the abnormally high value grid is determined not to be a biomass burning hotspot.

2. The method for determining the ignition point of biomass incineration as described in claim 1, characterized in that, Obtaining the atmospheric trace gas profile of the area to be monitored includes: The atmospheric trace gas profile is calculated based on the emission source factors, meteorological factors, and chemical generation and transformation processes of pollutants in the monitored area.

3. The method for determining the biomass incineration ignition point as described in claim 2, characterized in that, The atmospheric trace gas profile is calculated based on the emission source factors, meteorological factors, and chemical formation and transformation processes of pollutants within the monitored area, including: The atmospheric trace gas profile is calculated using the following formula: in, Indicates the first i Trace gases in the atmosphere in the first Class I emission sources, Meteorological factors and the first The vertical profile under the chemical conversion rate condition, where F() is the Gaussian model function.

4. The method for determining the biomass combustion ignition point as described in any one of claims 1 to 3, characterized in that, Based on the column concentration of the atmospheric trace gases and the atmospheric trace gas profile, the near-surface atmospheric trace gas column concentration is calculated, including: Based on the height covered by the atmospheric trace gas column concentration and the near-ground height, calculate the proportion of the near-ground atmospheric trace gas profile integral to the total atmospheric trace gas profile integral of the entire layer or troposphere. The near-surface atmospheric trace gas column concentration is calculated based on the proportion of the near-surface atmospheric trace gas profile integral to the total atmospheric trace gas profile integral of the entire layer or troposphere and the atmospheric trace gas column concentration.

5. The method for determining the ignition point of biomass incineration as described in claim 4, characterized in that, Based on the height covered by the atmospheric trace gas column concentration and the near-surface altitude, calculate the proportion of the near-surface atmospheric trace gas profile integral to the entire layer or tropospheric atmospheric trace gas profile integral, including: The proportion of the near-surface atmospheric trace gas profile integral to the total atmospheric trace gas profile integral of the entire layer or troposphere can be calculated using the following formula: in, Indicates the first i The proportion of the integral of the atmospheric trace gas profile from the ground to a preset height H to the integral of the atmospheric trace gas profile of the entire layer or troposphere. This represents the integral of the atmospheric trace gas profile from the ground to a preset height H. It represents the integral of the trace gas profile of the entire or tropospheric atmosphere, where T is the total vertical height of the entire or tropospheric atmosphere.

6. A device for determining the ignition point of biomass incineration, characterized in that, include: The data acquisition module is used to acquire column concentrations of atmospheric trace gases, atmospheric trace gas profiles, land use data, and biomass incineration-related data for the area to be monitored. The calculation module is used to calculate the near-surface atmospheric trace gas column concentration based on the column concentration of the atmospheric trace gas and the atmospheric trace gas profile. The incineration ignition point screening module is used to identify abnormally high value grids in the near-ground atmospheric trace gas column concentration based on the spatiotemporal variability of the near-ground atmospheric trace gas column concentration. The burning hotspot determination module is used to verify the rationality of biomass burning of the abnormal high-value grids through the land use data and biomass burning related data, and to determine the abnormal high-value grids that have passed the biomass burning rationality verification as biomass burning hotspots. The incineration ignition point screening module is used to divide the near-surface atmospheric trace gas column concentration into grid data. For each grid, based on the historical time series of the near-surface atmospheric trace gas column concentration of the grid and the statistical values ​​of the near-surface atmospheric trace gas column concentration of the grid and the surrounding grids, the threshold of the grid is determined under the condition of considering spatiotemporal variability. If the actual atmospheric trace gas column concentration of the grid is greater than the threshold, the grid is identified as an abnormally high value grid. The burning hotspot determination module is used to determine that if the abnormally high value grid falls within the cultivated land area and the time is between the harvest of the previous crop and the planting of the next crop, the abnormally high value grid is a biomass burning hotspot with a confidence level greater than 90%. If the abnormally high value grid falls within the forest area, then the abnormally high value grid is determined to be a biomass burning hotspot with a confidence level greater than 90%. If the abnormally high value grid falls within the cultivated land area, but the time is between crop planting and harvesting, then the abnormally high value grid is determined not to be a biomass burning hotspot. If the abnormally high value grid falls within a land use area that does not include vegetation, then the abnormally high value grid is determined not to be a biomass burning hotspot.

7. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method for determining the biomass incineration ignition point as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that performs the method for determining the biomass incineration ignition point according to any one of claims 1 to 5.

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