CN112712220B - Method and device for estimating ground ozone concentration and computer equipment - Google Patents

Method and device for estimating ground ozone concentration and computer equipment Download PDF

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CN112712220B
CN112712220B CN202110323422.2A CN202110323422A CN112712220B CN 112712220 B CN112712220 B CN 112712220B CN 202110323422 A CN202110323422 A CN 202110323422A CN 112712220 B CN112712220 B CN 112712220B
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ozone concentration
observation point
ozone
concentration
data
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CN112712220A (en
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田启明
王飞鸿
徐彬仁
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Beijing Yingshi Ruida Technology Co.,Ltd.
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Beijing Insights Value Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
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    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/26Government or public services
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    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
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Abstract

The invention discloses a method and a device for estimating the concentration of ground ozone and computer equipment, which mainly aim to improve the estimation precision of the concentration of the ground ozone. The method comprises the following steps: acquiring ozone profile data of a target area and ozone concentration of each observation point in an atmosphere monitored by a satellite; determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data; determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere; and estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere. The method is suitable for estimating the ground ozone concentration.

Description

Method and device for estimating ground ozone concentration and computer equipment
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a method and a device for estimating the concentration of ozone on the ground and computer equipment.
Background
With the rapid development of Chinese economy, the improvement of industrialization and city level, the special measures for atmospheric control implemented in China in recent years enable the quality of environmental air to be continuously improved, and national PM2.5、PM10、SO2The proportion of the concentration of CO and the number of days exceeding the standard shows a trend of obviously reducing year by year, but the proportion of the concentration of ozone and the number of days exceeding the standard shows a trend of increasing year by year, and the strong oxidizing property of the ozone can promote SO2With NO2Oxidation of isogaseous pollutants to form PM2.5The degree of compound air pollution is increased, and the ecological balance of the earth surface is seriously damaged. Therefore, the ozone concentration near the ground can be effectively estimated and corresponding treatment can be adoptedThe measures are particularly important for maintaining the balance of the surface ecosystem.
Currently, when estimating the near-surface ozone concentration, the ozone concentration of the near-surface is usually estimated by monitoring the ozone concentration of the whole atmosphere. However, the whole atmosphere includes the stratosphere and the troposphere, and the ozone concentration of the whole atmosphere in this way includes the ozone concentration of the stratosphere and the troposphere, and the stratosphere is far from the ground compared with the troposphere, and the ozone layer is located in the atmosphere stratosphere, so the ozone concentration of the whole atmosphere is used to estimate the ozone concentration near the ground, which results in low estimation accuracy of the near-ground ozone concentration, i.e. the near-ground ozone concentration cannot be estimated correctly.
Disclosure of Invention
The invention provides a method and a device for estimating the concentration of ground ozone and computer equipment, which mainly aim to improve the estimation precision of the concentration of the ground ozone.
According to a first aspect of the present invention, there is provided a method for estimating the concentration of ozone in the ground, comprising:
acquiring ozone profile data of a target area and ozone concentration of each observation point in an atmosphere monitored by a satellite;
determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data;
determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere;
and estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere.
According to a second aspect of the present invention, there is provided a device for estimating the concentration of ozone in the ground, comprising:
the acquisition unit is used for acquiring ozone profile data of a target area and ozone concentration of each observation point in an atmosphere monitored by a satellite;
the first determining unit is used for determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data;
a second determination unit for determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere;
and the estimation unit is used for estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere.
According to a third aspect of the present invention, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring ozone profile data of a target area and ozone concentration of each observation point in an atmosphere monitored by a satellite;
determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data;
determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere;
and estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere.
According to a fourth aspect of the present invention, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the program:
acquiring ozone profile data of a target area and ozone concentration of each observation point in an atmosphere monitored by a satellite;
determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data;
determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere;
and estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere.
Compared with the current mode of predicting the ozone concentration close to the ground by using the ozone concentration of the whole atmospheric column, the method, the device and the computer equipment provided by the invention can obtain the ozone profile data of a target area and the ozone concentration of each observation point in the atmosphere monitored by a satellite; determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data; meanwhile, determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere; finally, the ground ozone concentration of the target area is estimated based on the ozone concentration of each observation point in the troposphere, so that the ozone concentration data of each observation point in the stratosphere can be determined according to the acquired ozone profile data, the stratosphere ozone concentration can be eliminated from the ozone concentration of the whole atmosphere, and the troposphere ozone concentration is obtained.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method for estimating surface ozone concentration according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for estimating the concentration of ozone at the surface according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram illustrating an estimation apparatus of surface ozone concentration according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of another estimation device for ground ozone concentration according to an embodiment of the present invention;
fig. 5 shows a physical structure diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
At present, because the ozone concentration of the whole atmosphere can include the ozone concentration of an stratosphere and a troposphere, the ozone concentration of the whole atmosphere is used for estimating the ozone concentration close to the ground, so that the estimation precision of the ozone concentration close to the ground is low.
In order to solve the above problem, an embodiment of the present invention provides a method for estimating a concentration of ozone on the ground, as shown in fig. 1, the method including:
101. acquiring ozone profile data of a target area and ozone concentration of each observation point in the atmosphere monitored by a satellite.
The target area is an area to be estimated for the concentration of ozone on the ground, the ozone profile data is time information, position information and altitude information of each observation point in an ozone layer located in an stratosphere and monitored by a satellite, the time information is time monitored by the satellite specifically, the position information is longitude information and latitude information of the observation point specifically, the altitude information is height of the observation point from the ground specifically, the atmosphere comprises the stratosphere and a troposphere, the concentration of ozone at each observation point in the atmosphere is the total concentration of ozone in the stratosphere and the troposphere monitored by the satellite, and each observation point in the atmosphere also has corresponding time information, position information and altitude information, namely the concentration of ozone in the atmosphere monitored by the satellite is the concentration of ozone at each altitude in the corresponding space-time lower atmosphere.
For the embodiment of the invention, in order to solve the problem of low estimation precision of near-ground ozone concentration in the prior art, the embodiment of the invention can obtain the ozone concentration of the troposphere close to the ground by removing the ozone concentration of the stratosphere from the ozone concentration of the atmosphere, estimate the near-ground ozone concentration by utilizing the ozone concentration of the troposphere, and improve the estimation precision of the near-ground ozone concentration. The embodiment of the invention is mainly applied to a scene of predicting the near-ground ozone concentration, and the execution main body of the embodiment of the invention is a device or equipment capable of predicting the near-ground ozone concentration, and can be specifically arranged at one side of a client or a server.
Specifically, when the ground ozone concentration of the target area needs to be estimated, firstly, the ozone profile data of the target area is obtained from the data monitored by the satellite, namely, the time information, the position information and the height information of each observation point in the ozone layer of the target area located in the stratosphere are obtained, and simultaneously, the total ozone concentration of the stratosphere and the troposphere of each observation point in the atmosphere monitored by the satellite is obtained, so that the ozone concentration of each monitored in the troposphere is determined according to the obtained ozone profile data and the ozone concentration of each observation point in the atmosphere, and further, the ozone concentration of the troposphere is utilized to estimate the ozone concentration of the target area close to the ground.
102. And determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data.
For the embodiment of the invention, in order to remove the ozone concentration of the stratosphere from the ozone concentration of each observation point in the atmosphere, the ozone concentration of each observation point in the stratosphere needs to be determined according to the ozone profile data of the target area monitored by the satellite. Specifically, a preset stratospheric ozone data list can be inquired according to the ozone profile data to determine the ozone concentration of known observation points in each observation point of the stratosphere, wherein the preset stratosphere ozone data list can be specifically stratosphere bottom reanalysis data, the stratosphere bottom reanalysis data is recorded with the ozone concentration of some known observation points in the stratosphere, specifically, the time information, the height information and the position information of each observation point of the stratosphere in the ozone profile data are matched with the time information, the height information and the position information of all known observation points in the stratosphere bottom reanalysis data, the ozone concentration of the known observation points in each observation point of the stratosphere can be determined according to the matching result, and further, other observation points except the known observation points in each observation point of the stratosphere are used as observation points to be interpolated, and estimating the ozone concentration of the observation point to be interpolated in the stratosphere by utilizing a preset kriging interpolation algorithm and the ozone concentration of the known observation point, so that the ozone concentration of each observation point in the stratosphere can be obtained.
103. And determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere.
For the embodiment of the invention, after the ozone concentration of each observation point in the stratosphere is determined, in order to determine the ozone concentration of each observation point in the troposphere, the ozone concentration of each observation point in the atmosphere can be subtracted from the ozone concentration of each observation point in the stratosphere to obtain the ozone concentration of each observation point in the troposphere, so that the ozone concentration of each observation point in the troposphere is used for estimating the ozone concentration of the target area close to the ground.
104. And estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere.
For the embodiment of the present invention, after determining the ozone concentration of each observation point in the troposphere of the target region, the position information of each observation point in the troposphere needs to be matched with the position information of the observation station of the target region, so as to obtain the ozone concentration observed by the observation station according to the matching result, and further, the ozone concentration of the observation station is input to a preset ground ozone concentration estimation model for ozone concentration estimation, so as to obtain the ground ozone concentration of the target region, wherein the preset ground ozone concentration estimation model is specifically a regression model, and may also be other types of models.
Compared with the existing mode of predicting the ozone concentration close to the ground by using the ozone concentration of the whole atmospheric column, the method for predicting the ozone concentration on the ground can acquire the ozone profile data of a target area and the ozone concentration of each observation point in the atmosphere monitored by a satellite; determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data; meanwhile, determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere; finally, the ground ozone concentration of the target area is estimated based on the ozone concentration of each observation point in the troposphere, so that the ozone concentration data of each observation point in the stratosphere can be determined according to the acquired ozone profile data, the stratosphere ozone concentration can be eliminated from the ozone concentration of the whole atmosphere, and the troposphere ozone concentration is obtained.
Further, in order to better explain the above estimation process of the ground ozone concentration, as a refinement and an extension of the above embodiment, an embodiment of the present invention provides another estimation method of the ground ozone concentration, as shown in fig. 2, the method includes:
201. acquiring ozone profile data of a target area and ozone concentration of each observation point in the atmosphere monitored by a satellite.
For the embodiment of the present invention, in order to determine the ozone concentration of each observation point in the troposphere of the target region, the ozone profile data of the target region monitored by the satellite and the ozone concentration of each observation point in the atmosphere need to be obtained, and the specific process of obtaining the ozone profile data and the ozone concentration of each observation point in the atmosphere is the same as that in step 101, and is not described herein again.
202. And inquiring a preset stratospheric ozone data list according to the ozone profile data to obtain the ozone concentration of a known observation point in the stratosphere.
The preset stratospheric ozone data list can be specifically stratospheric bottom reanalysis data, the stratospheric bottom reanalysis data is recorded with the ozone concentrations of all known observation points in the stratosphere, the known observation points are the observation points with the known ozone concentrations, for the embodiment of the invention, the number of each monitoring point in the stratosphere is not too small, each observation point in the stratosphere corresponds to each observation point in the atmosphere, the corresponding observation points in the stratosphere and the atmosphere have the same time information and position information, the number of each monitoring point in the stratosphere is ensured to cover the stratosphere of the whole target area, namely the area covering the stratosphere, and further, the time information, the position information and the height information of each observation point in the stratosphere in the ozone profile data and the time information, the position information and the height information of all known observation points in the stratosphere bottom reanalysis data are combined to form a new stratosphere, The position information and the height information are matched, known observation points in all observation points of the stratosphere and the ozone concentration corresponding to the observation points can be determined according to a matching result, furthermore, the known observation points and the unknown observation points with unknown ozone concentration are included in all the observation points of the stratosphere, the unknown observation points are used as observation points to be interpolated, the ozone concentration of the observation points to be interpolated is determined by utilizing a preset Kriging interpolation algorithm and the ozone concentration of the known observation points in the stratosphere, and therefore the ozone concentration of all the observation points in the stratosphere can be determined.
203. And carrying out interpolation processing on the ozone concentration of the known observation points in the stratosphere by utilizing a preset Krigin interpolation algorithm to obtain the ozone concentration of each observation point in the stratosphere.
For the embodiment of the present invention, in order to determine the ozone concentration of the observation point to be interpolated, step 203 specifically includes: determining the position information of an observation point to be interpolated and the position information of the known observation point in the stratosphere;
determining a horizontal distance between the observation point to be interpolated and the known observation point based on the position information of the observation point to be interpolated and the position information of the known observation point; determining the weight of the known observation point according to the horizontal distance, and calculating the ozone concentration of the observation point to be interpolated based on the weight of the known observation point and the ozone concentration of the known observation point; and determining the ozone concentration of each monitoring in the stratosphere according to the ozone concentration of the observation point to be interpolated and the ozone concentration of the known observation point. The position information of the observation point to be interpolated and the position information of the known observation point are respectively longitude information and latitude information of the observation point to be interpolated and the known observation point, and a formula for specifically calculating the ozone concentration of the observation point to be interpolated is as follows:
Figure 766552DEST_PATH_IMAGE001
wherein Z is0Representing observation points (x) to be interpolated0,y0) Concentration of ozone, x0And y0Respectively representing longitude and latitude information of the point to be interpolated, ZiRepresenting a known observation point (x)i,yi) Concentration of ozone, xiAnd yiLongitude information and latitude information of the known observation points, respectively, n represents the number of the known observation points,
Figure 621376DEST_PATH_IMAGE002
weights representing known observation points, the weights
Figure 604375DEST_PATH_IMAGE003
The horizontal distance between the observation point to be interpolated and the known observation point is larger, which shows that the correlation between the observation point to be interpolated and the known observation point is smaller, namely the influence of the known observation point on the observation point to be interpolated is smaller, so the weight of the known observation point is smaller; conversely, the smaller the horizontal distance between the observation point to be interpolated and the known observation point is, the larger the correlation between the observation point to be interpolated and the known observation point is, that is, the known observation point has a larger influence on the observation point to be interpolated, so that the weight of the known observation point is larger, wherein the horizontal distance between the observation point to be interpolated and the known observation point can be calculated (x is specifically calculated)0,y0) And (x)i,yi) The distance between the observation points is obtained, so that the ozone concentration of the observation point to be interpolated can be estimated by using the ozone concentration of the known observation point through the formula, and the ozone concentration of each observation point in the stratosphere can be determined.
204. And subtracting the ozone concentration of each observation point in the stratosphere from the ozone concentration of each monitored observation point in the atmosphere to obtain the ozone concentration of each observation point in the troposphere.
In the embodiment of the present invention, in order to improve the estimation accuracy of the ground ozone concentration of the target area, the ozone concentration of the stratosphere needs to be removed from the ozone concentration of the atmosphere to obtain the ozone concentration of the troposphere, so as to estimate the ozone concentration near the ground by using the ozone concentration of the troposphere, specifically, the ozone concentration of each observation point in the atmosphere and the ozone concentration of each observation point in the stratosphere can be subtracted to obtain the ozone concentration of each observation point in the troposphere, wherein each monitor in the atmosphere corresponds to each observation point in the stratosphere, that is, the ozone concentrations of the observation points having the same time information and position information in the atmosphere and the stratosphere are subtracted to obtain the ozone concentration of each observation point in the troposphere, and the specific formula is as follows:
Figure 937268DEST_PATH_IMAGE004
wherein, O3 downConcentration of ozone, O, for each observation point in the troposphere3 totalConcentration of ozone in the atmosphere, O, for satellite monitoring3 upThe ozone concentration at each observation point in the stratosphere. From this, the ozone concentration at each observation point in the troposphere can be obtained according to the above formula.
205. And estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere.
For the embodiment of the present invention, in order to estimate the ground ozone concentration of the target area, step 205 specifically includes: acquiring position information of an observation station; matching the position information of the observation station with the position information of each observation point in the troposphere, and determining the ozone concentration of the observation point matched with the observation station as the ozone concentration observed by the observation station; inputting the ozone concentration observed by the observation station into a preset ground ozone concentration estimation model for estimating the ozone concentration to obtain the ground ozone concentration of the target area. Further, it is the regression model of preset ground ozone concentration to predetermine the ground ozone concentration model, input the ozone concentration that the observation station was surveyed to predetermine the ground ozone concentration and predict the model and carry out ozone concentration and predict, obtain the ground ozone concentration in target area, include:
acquiring the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, ground ozone observation data, meteorological data, sunshine data and cloud amount data of the target area; taking the ozone concentration, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the ground ozone observation data, the meteorological data, the sunshine data and the cloud cover data observed by the observation station as input data;
inputting the input data into a preset ground ozone concentration regression model for ozone concentration pre-estimation to obtain the ground ozone concentration of the target area.
The position information of the observation station comprises longitude information and latitude information of the observation station, the position information of each observation point in the troposphere comprises the longitude information and the latitude information of each observation point, the distance between each observation point and the observation station can be calculated in the process of matching the position information of the observation station with the position information of each observation point in the troposphere, and whether the observation point and the observation station belong to the same place or not can be judged according to the calculated distance, and a calculation formula of the distance between the observation point and the observation station in the troposphere is as follows:
Figure 892585DEST_PATH_IMAGE005
wherein d is the distance between the observation point and the observation station in the troposphere, (lat1, lon1) and (lat2, lon2) respectively represent longitude information and latitude information of the observation point in the troposphere, and when the distance d between the observation point and the observation point is less than a preset distance, the observation point and the observation point can be considered to belong to the same place, wherein the preset distance can be set according to business requirements, for example, the preset distance is set to be 0.1 meter, if the distance between the observation point and the observation point A is less than 0.1 meter, the observation point and the observation point can be considered to belong to the same place, and further the ozone concentration of the troposphere observation point A is determined to be the ozone concentration observed by the observation point, it should be noted that the time information of the observation point can also be obtained, and the position information and the time information of the observation point are respectively matched with the position information and the time information of each observation point in the tropo, and further determining the concentration of the ozone observed by the observation station according to the matching result.
Further, after determining the concentration of ozone observed by the observation station, in order to improve the accuracy of the estimation result, data of other dimensions also need to be obtained, specifically, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the ground ozone observation data, the meteorological data, the sunshine data and the cloud data of the target area can be obtained, wherein the ground ozone observation data mainly refers to the mass concentration of the observed ozone, the ozone concentration in the atmosphere monitored by the satellite mainly refers to the volume concentration, i.e., the column concentration, the meteorological data mainly includes the atmospheric relative humidity, the near-ground atmospheric pressure, the atmospheric temperature, the wind speeds in the horizontal direction and the vertical direction, and the sunshine data specifically includes the solar sunshine duration, the solar shortwave radiation intensity, and the like. Specifically, the ozone concentration observed by the determined observation station and the other dimensional data are jointly used as input data, the input data are input into a preset ground ozone concentration regression model for ozone concentration estimation, and the ozone concentration near the ground of the target area is obtained, wherein the specific formula is as follows:
Figure 918310DEST_PATH_IMAGE006
wherein, O3For estimated near-surface ozone concentration, O3 downIn order to observe the ozone concentration observed at a station, RH is the relative humidity of the atmosphere, TEMP is the atmospheric temperature, U and V are the WIND speeds in the horizontal direction and the vertical direction respectively, WIND is the total WIND speed calculated according to the WIND speeds in the horizontal direction and the vertical direction, PRES is the atmospheric pressure close to the ground, PBLH is the height of the atmospheric boundary layer, NO is2And CO respectively represents the concentration of each satellite gas, RAD is the solar short wave radiation intensity, SUN is the solar sunshine duration, LONAnd LAT is longitude information and latitude information of the observation station after logarithmic transformation. Further, the preset ground ozone concentration regression model may specifically be a linear regression model or a nonlinear regression model, and when the preset ground ozone concentration regression model is the linear regression model, based on a weight value of ozone concentration observed at an observation station in the regression model and weight values of other dimension data, the observed ozone concentration and the other dimension data are added to obtain the ground ozone concentration of the target area.
In a specific application scenario, in order to further improve the estimation accuracy of near-ground ozone concentration, abnormal data in the ground ozone observation data need to be excluded, and based on this, before the ozone concentration, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the ground ozone observation data, the meteorological data, the sunshine data, and the cloud cover data observed at the observation station are collectively used as input data, the method further includes: determining a normal value range of the ground ozone observation data, and judging whether abnormal data which are not in the normal value range exist in the ground ozone observation data or not; if the abnormal data exist, removing the abnormal data from the ground ozone observation data to obtain the ground ozone observation data from which the abnormal data are removed, and meanwhile, taking the ozone concentration, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the ground ozone observation data, the meteorological data, the sunshine data and the cloud cover data observed by the observation station as input data, wherein the steps of: and taking the ozone concentration, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the ground ozone observation data after the abnormal data is eliminated, the meteorological data, the sunshine data and the cloud cover data observed by the observation station as input data together.
Determining a normal value range of ground ozone observation data, regarding data which is not in the normal value range in the ground ozone observation data as abnormal data, eliminating the abnormal data from the ground ozone observation data, then inputting the ground ozone observation data with the abnormal data eliminated and other data together as input data into a preset ground ozone concentration regression model for ozone concentration estimation to obtain the near-ground ozone concentration of a target area.
Compared with the current mode of predicting the ozone concentration near the ground by using the ozone concentration of the whole atmospheric column, the method for predicting the ozone concentration on the ground provided by the embodiment of the invention can obtain the ozone profile data of a target area and the ozone concentration of each observation point in the atmosphere monitored by a satellite; determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data; meanwhile, determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere; finally, the ground ozone concentration of the target area is estimated based on the ozone concentration of each observation point in the troposphere, so that the ozone concentration data of each observation point in the stratosphere can be determined according to the acquired ozone profile data, the stratosphere ozone concentration can be eliminated from the ozone concentration of the whole atmosphere, and the troposphere ozone concentration is obtained.
Further, as a specific implementation of fig. 1, an estimation apparatus for surface ozone concentration is provided in an embodiment of the present invention, as shown in fig. 3, the apparatus includes: an acquisition unit 31, a first determination unit 32, a second determination unit 33, and a prediction unit 34.
The acquiring unit 31 may be configured to acquire ozone profile data of a target area and ozone concentration at each observation point in the atmosphere monitored by a satellite.
The first determining unit 32 may be configured to determine the ozone concentration at each observation point in the stratosphere according to the ozone profile data.
The second determination unit 33 may be configured to determine the ozone concentration at each observation point in the troposphere according to the ozone concentration at each observation point in the stratosphere and the ozone concentration at each observation point in the atmosphere.
The estimating unit 34 may be configured to estimate the surface ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere.
In a specific application scenario, in order to determine the ozone concentration at each observation point in the stratosphere, as shown in fig. 4, the first determination unit 32 includes: a query module 321 and an interpolation module 322.
The query module 321 may be configured to query a preset stratospheric ozone data list according to the ozone profile data, so as to obtain the ozone concentration of a known observation point in the stratosphere.
The interpolation module 322 may be configured to perform interpolation processing on the ozone concentration of the known observation point in the stratosphere by using a preset kriging interpolation algorithm, so as to obtain the ozone concentration of each observation point in the stratosphere.
Further, to determine the ozone concentration at each observation point in the stratosphere, the interpolation module 322 includes: a determination submodule and a calculation submodule.
The determining submodule can be used for determining the position information of the observation point to be interpolated and the position information of the known observation point in the stratosphere.
The determining submodule may be further configured to determine a horizontal distance between the observation point to be interpolated and the known observation point based on the position information of the observation point to be interpolated and the position information of the known observation point.
The calculation submodule can be used for determining the weight of the known observation point according to the horizontal distance and calculating the ozone concentration of the observation point to be interpolated based on the weight of the known observation point and the ozone concentration of the known observation point.
The determining submodule can also be used for determining the ozone concentration of each monitoring in the stratosphere according to the ozone concentration of the observation point to be interpolated and the ozone concentration of the known observation point.
In a specific application scenario, in order to determine the ozone concentration at each observation point in the troposphere, the second determining unit 33 may be specifically configured to subtract each monitored ozone concentration in the atmosphere from the ozone concentration at each observation point in the stratosphere to obtain the ozone concentration at each observation point in the troposphere.
In a specific application scenario, in order to estimate the ground ozone concentration of the target area, the estimating unit 34 includes: an acquisition module 341, a matching module 342, and an estimation module 343.
The obtaining module 341 may be configured to obtain location information of an observation station.
The matching module 342 may be configured to match the position information of the observation station with the position information of each observation point in the troposphere, and determine the ozone concentration of the observation point matching the observation station as the ozone concentration observed by the observation station.
The estimation module 343 may be configured to input the ozone concentration observed at the observation station to a preset ground ozone concentration estimation model to estimate the ozone concentration, so as to obtain the ground ozone concentration of the target area.
In a specific application scenario, the pre-estimation model of the ground ozone concentration is a pre-estimation regression model of the ground ozone concentration, and the pre-estimation module 343 includes: the device comprises an acquisition submodule, a determination submodule and an estimation module submodule.
The acquisition submodule can be used for acquiring troposphere nitrogen dioxide concentration, troposphere carbon monoxide concentration, ground ozone observation data, meteorological data, sunshine data and cloud amount data of the target area.
The determining submodule can be used for taking the ozone concentration, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the ground ozone observation data, the meteorological data, the sunshine data and the cloud amount data observed by the observation station as input data together.
The estimation submodule can be used for inputting the input data into a preset ground ozone concentration regression model to estimate the ozone concentration, so that the ground ozone concentration of the target area is obtained.
Further, in order to improve the estimation accuracy of the near-surface ozone concentration, the estimation module 343 further includes: a decision submodule and an exclusion submodule.
The determining submodule can be used for determining a normal value range of the ground ozone observation data and determining whether abnormal data which are not in the normal value range exist in the ground ozone observation data.
The eliminating submodule can be used for eliminating the abnormal data from the ground ozone observation data if the abnormal data exist, so that the ground ozone observation data with the abnormal data eliminated are obtained.
The determining submodule is specifically configured to use the ozone concentration, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the ground ozone observation data excluding the abnormal data, the meteorological data, the sunshine data, and the cloud data observed at the observation station as input data.
It should be noted that, other corresponding descriptions of the functional modules related to the estimation apparatus for the concentration of ozone on the ground provided by the embodiment of the present invention may refer to the corresponding description of the method shown in fig. 1, and are not repeated herein.
Based on the method shown in fig. 1, correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the following steps: acquiring ozone profile data of a target area and ozone concentration of each observation point in an atmosphere monitored by a satellite; determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data; determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere; and estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere.
Based on the above embodiments of the method shown in fig. 1 and the apparatus shown in fig. 3, an embodiment of the present invention further provides an entity structure diagram of a computer device, as shown in fig. 5, where the computer device includes: a processor 41, a memory 42, and a computer program stored on the memory 42 and executable on the processor, wherein the memory 42 and the processor 41 are both arranged on a bus 43 such that when the processor 41 executes the program, the following steps are performed: acquiring ozone profile data of a target area and ozone concentration of each observation point in an atmosphere monitored by a satellite; determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data; determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere; and estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere.
By adopting the technical scheme, the ozone concentration monitoring system can acquire ozone profile data of a target area and the ozone concentration of each observation point in the atmosphere monitored by a satellite; determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data; meanwhile, determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere; finally, the ground ozone concentration of the target area is estimated based on the ozone concentration of each observation point in the troposphere, so that the ozone concentration data of each observation point in the stratosphere can be determined according to the acquired ozone profile data, the stratosphere ozone concentration can be eliminated from the ozone concentration of the whole atmosphere, and the troposphere ozone concentration is obtained.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (8)

1. A method for estimating the concentration of ozone on the ground is characterized by comprising the following steps:
acquiring ozone profile data of a target area and ozone concentration of each observation point in an atmosphere monitored by a satellite;
determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data;
determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere;
estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere;
wherein said determining the concentration of ozone at each observation point in the stratosphere from said ozone profile data comprises:
inquiring a preset stratospheric ozone data list according to the ozone profile data to obtain the ozone concentration of a known observation point in the stratosphere;
performing interpolation processing on the ozone concentration of the known observation points in the stratosphere by using a preset kriging interpolation algorithm to obtain the ozone concentration of each observation point in the stratosphere;
the interpolation processing is carried out on the ozone concentration of the known observation points in the stratosphere by utilizing a preset kriging interpolation algorithm to obtain the ozone concentration of each observation point in the stratosphere, and the method comprises the following steps:
determining the position information of an observation point to be interpolated and the position information of the known observation point in the stratosphere;
determining a horizontal distance between the observation point to be interpolated and the known observation point based on the position information of the observation point to be interpolated and the position information of the known observation point;
determining the weight of the known observation point according to the horizontal distance, and calculating the ozone concentration of the observation point to be interpolated based on the weight of the known observation point and the ozone concentration of the known observation point;
and determining the ozone concentration of each observation point in the stratosphere according to the ozone concentration of the observation point to be interpolated and the ozone concentration of the known observation point.
2. The method of claim 1, wherein determining the concentration of ozone at each observation point in the troposphere from the concentration of ozone at each observation point in the stratosphere and the concentration of ozone at each observation point in the atmosphere comprises:
and subtracting the ozone concentration of each observation point in the atmosphere from the ozone concentration of each observation point in the stratosphere to obtain the ozone concentration of each observation point in the troposphere.
3. The method of claim 1, wherein estimating the surface ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere comprises:
acquiring position information of an observation station;
matching the position information of the observation station with the position information of each observation point in the troposphere, and determining the ozone concentration of the observation point matched with the observation station as the ozone concentration observed by the observation station;
inputting the ozone concentration observed by the observation station into a preset ground ozone concentration estimation model for estimating the ozone concentration to obtain the ground ozone concentration of the target area.
4. The method of claim 3, wherein the pre-set ground ozone concentration estimation model is a pre-set ground ozone concentration regression model, and the inputting the ozone concentration observed by the observation station into the pre-set ground ozone concentration estimation model for ozone concentration estimation to obtain the ground ozone concentration of the target area comprises:
acquiring the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, ground ozone observation data, meteorological data, sunshine data and cloud amount data of the target area;
taking the ozone concentration, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the ground ozone observation data, the meteorological data, the sunshine data and the cloud cover data observed by the observation station as input data;
inputting the input data into a preset ground ozone concentration regression model for ozone concentration pre-estimation to obtain the ground ozone concentration of the target area.
5. The method of claim 4, wherein prior to said taking as input data together the ozone concentration observed at the observation site, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the surface ozone observation data, the meteorological data, the insolation data, and the cloud data, the method further comprises:
determining a normal value range of the ground ozone observation data, and judging whether abnormal data which are not in the normal value range exist in the ground ozone observation data or not;
if the abnormal data exist, removing the abnormal data from the ground ozone observation data to obtain the ground ozone observation data from which the abnormal data are removed;
the using the ozone concentration observed by the observation station, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the ground ozone observation data, the meteorological data, the sunshine data, and the cloud cover data together as input data includes:
and taking the ozone concentration, the tropospheric nitrogen dioxide concentration, the tropospheric carbon monoxide concentration, the ground ozone observation data after the abnormal data is eliminated, the meteorological data, the sunshine data and the cloud cover data observed by the observation station as input data together.
6. An estimation device of surface ozone concentration, characterized by comprising:
the acquisition unit is used for acquiring ozone profile data of a target area and ozone concentration of each observation point in an atmosphere monitored by a satellite;
the first determining unit is used for determining the ozone concentration of each observation point in the stratosphere according to the ozone profile data;
a second determination unit for determining the ozone concentration of each observation point in the troposphere according to the ozone concentration of each observation point in the stratosphere and the ozone concentration of each observation point in the atmosphere;
the estimation unit is used for estimating the ground ozone concentration of the target area based on the ozone concentration of each observation point in the troposphere;
wherein the first determination unit includes: a query module and an interpolation module, wherein,
the query module is used for querying a preset stratospheric ozone data list according to the ozone profile data to obtain the ozone concentration of a known observation point in the stratosphere;
the interpolation module is used for carrying out interpolation processing on the ozone concentration of the known observation points in the stratosphere by utilizing a preset Krigin interpolation algorithm to obtain the ozone concentration of each observation point in the stratosphere;
the interpolation module comprises: a determination sub-module and a calculation sub-module,
the determining submodule is used for determining the position information of the observation point to be interpolated and the position information of the known observation point in the stratosphere;
the determining submodule is further configured to determine a horizontal distance between the observation point to be interpolated and the known observation point based on the position information of the observation point to be interpolated and the position information of the known observation point;
the calculation submodule is used for determining the weight of the known observation point according to the horizontal distance and calculating the ozone concentration of the observation point to be interpolated based on the weight of the known observation point and the ozone concentration of the known observation point;
the determining submodule is further used for determining the ozone concentration of each observation point in the stratosphere according to the ozone concentration of the observation point to be interpolated and the ozone concentration of the known observation point.
7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
8. A computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 5 when executed by the processor.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120092649A1 (en) * 2009-10-06 2012-04-19 Golder Associates Ltd. Mapping concentrations of airborne matter
CN108760662A (en) * 2018-03-27 2018-11-06 刘诚 A kind of Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm
CN109597969A (en) * 2019-01-25 2019-04-09 南京大学 A kind of surface ozone Concentration Estimation Method
CN110942049A (en) * 2019-12-17 2020-03-31 生态环境部卫星环境应用中心 Ozone pollution source identification method and system based on satellite remote sensing
CN111310386A (en) * 2020-02-13 2020-06-19 北京中科锐景科技有限公司 Near-surface ozone concentration estimation method
CN111339665A (en) * 2020-02-27 2020-06-26 中国科学院空天信息创新研究院 Troposphere ozone profile calculation method
CN112052627A (en) * 2020-08-21 2020-12-08 海南星瞰信息咨询中心(有限合伙) Method, device, medium and equipment for estimating near-surface ozone space distribution

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120092649A1 (en) * 2009-10-06 2012-04-19 Golder Associates Ltd. Mapping concentrations of airborne matter
CN108760662A (en) * 2018-03-27 2018-11-06 刘诚 A kind of Atmospheric Remote Sensing by Satellite ozone profile inversion algorithm
CN109597969A (en) * 2019-01-25 2019-04-09 南京大学 A kind of surface ozone Concentration Estimation Method
CN110942049A (en) * 2019-12-17 2020-03-31 生态环境部卫星环境应用中心 Ozone pollution source identification method and system based on satellite remote sensing
CN111310386A (en) * 2020-02-13 2020-06-19 北京中科锐景科技有限公司 Near-surface ozone concentration estimation method
CN111339665A (en) * 2020-02-27 2020-06-26 中国科学院空天信息创新研究院 Troposphere ozone profile calculation method
CN112052627A (en) * 2020-08-21 2020-12-08 海南星瞰信息咨询中心(有限合伙) Method, device, medium and equipment for estimating near-surface ozone space distribution

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于梯度提升回归树算法的地面臭氧浓度估算;李一蜚 等;《中国环境科学》;20200331;第40卷(第3期);全文 *

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