CN111178776A - Atmospheric environment evaluation method and device and electronic system - Google Patents

Atmospheric environment evaluation method and device and electronic system Download PDF

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CN111178776A
CN111178776A CN201911426016.8A CN201911426016A CN111178776A CN 111178776 A CN111178776 A CN 111178776A CN 201911426016 A CN201911426016 A CN 201911426016A CN 111178776 A CN111178776 A CN 111178776A
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韩秀珍
高玲
刘旭艳
闫欢欢
张倩倩
王维和
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Abstract

The invention provides an atmospheric environment evaluation method, an atmospheric environment evaluation device and an electronic system, wherein the atmospheric environment evaluation method comprises the following steps: acquiring a correlation value of a specified pollution index in a satellite remote sensing mode; determining the grade of the specified pollution index according to the correlation value of the specified pollution index; and determining the scoring result of the atmospheric environment according to the score of the specified pollution index. In the mode, the atmospheric environment is evaluated on the basis of the pollutant information acquired by the satellite remote sensing technology, so that the accuracy of atmospheric environment evaluation is improved, and a more comprehensive atmospheric environment evaluation result is provided.

Description

Atmospheric environment evaluation method and device and electronic system
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to an atmospheric environment evaluation method, an atmospheric environment evaluation device and an electronic system.
Background
The atmosphere is the foundation on which humans and various living creatures live, and changes in human living conditions caused by changes in the atmospheric environment have received much attention. Especially, pollutants such as ozone, nitrogen oxide, sulfur dioxide, aerosol and the like can cause pollution to the atmospheric environment to a certain extent, and the air quality is reduced.
In the related technology for atmospheric environment evaluation, a ground observation station is usually utilized to obtain atmospheric environment observation data, and the ground observation station is in discrete distribution, so that the obtained observation data are not enough to completely cover the monitored space, the atmospheric environment evaluation result is not comprehensive enough, and the accuracy is low.
Disclosure of Invention
In view of the above, the present invention provides an atmospheric environment evaluation method, an atmospheric environment evaluation device, and an electronic system, so as to improve the accuracy of atmospheric environment evaluation.
In a first aspect, an embodiment of the present invention provides an atmospheric environment evaluation method, including: acquiring a correlation value of a specified pollution index in a satellite remote sensing mode; determining the grade of the specified pollution index according to the correlation value of the specified pollution index; and determining the scoring result of the atmospheric environment according to the score of the specified pollution index.
Further, the specified pollution indexes at least include: aerosol optical thickness, ozone, nitrogen dioxide, and sulfur dioxide; the step of determining the score of the specified pollution index according to the correlation value of the specified pollution index comprises the following steps: extracting the annual average aerosol optical thickness value of the designated area; grading the optical thickness value of the aerosol; the grading comprises the area corresponding to each grading and the weight of each grading; according to the area and the weight of the area, the annual average aerosol optical thickness of the designated area is determined.
Further, the step of determining a score for a given pollution indicator based on the correlation value for the given pollution indicator comprises: extracting an ozone concentration value of a designated area; grading the ozone concentration value; the grading comprises the area corresponding to each grading and the weight of each grading; a score for the ozone concentration of the designated area is determined based on the area of the area and the weight.
Further, the step of determining a score for a given pollution indicator based on the correlation value for the given pollution indicator comprises: extracting a nitrogen dioxide value of a designated area; grading the nitrogen dioxide value; the grading comprises the area corresponding to each grading and the weight of each grading; and determining the score of the nitrogen dioxide of the designated area according to the area and the weight of the area.
Further, the step of determining a score for a given pollution indicator based on the correlation value for the given pollution indicator comprises: extracting the sulfur dioxide value of the designated area; grading the sulfur dioxide value; the grading comprises the area corresponding to each grading and the weight of each grading; and determining the score of the sulfur dioxide in the designated area according to the area and the weight of the area.
Further, the step of determining the scoring result of the atmospheric environment according to the score of the specified pollution index includes: determining a weight for the score for each specified pollution indicator; and determining the scoring result of the atmospheric environment according to the scoring and the weight.
In a second aspect, an embodiment of the present invention provides an atmospheric environment evaluation apparatus, including: the index value acquisition module is used for acquiring a correlation value of the specified pollution index in a satellite remote sensing mode; the score determining module is used for determining the score of the specified pollution index according to the correlation value of the specified pollution index; and the result determining module is used for determining the scoring result of the atmospheric environment according to the score of the specified pollution index.
Further, the specified pollution indexes at least include: aerosol optical thickness, ozone, nitrogen dioxide, and sulfur dioxide; the score determination module is to: extracting the annual average aerosol optical thickness value of the designated area; grading the optical thickness value of the aerosol; the grading comprises the area corresponding to each grading and the weight of each grading; according to the area and the weight of the area, the annual average aerosol optical thickness of the designated area is determined.
In a third aspect, an embodiment of the present invention provides an electronic system, including: a processing device and a storage device; the storage means has stored thereon a computer program which, when run by a processing device, performs the method of assessing an atmospheric environment as in any one of the embodiments of the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processing device to perform the steps of the method for evaluating an atmospheric environment according to any one of the embodiments of the first aspect.
The embodiment of the invention has the following beneficial effects:
according to the evaluation method, the evaluation device and the electronic system for the atmospheric environment, provided by the embodiment of the invention, the correlation value of the specified pollution index is obtained in a satellite remote sensing mode; determining the grade of the specified pollution index according to the correlation value of the specified pollution index; and determining the scoring result of the atmospheric environment according to the score of the specified pollution index. In the mode, the atmospheric environment is evaluated on the basis of the pollutant information acquired by the satellite remote sensing technology, so that the accuracy of atmospheric environment evaluation is improved, and a more comprehensive atmospheric environment evaluation result is provided.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of an atmospheric environment evaluation method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for determining a score for a specified pollution index according to an embodiment of the present invention;
FIG. 3 is a graph of an optical aerosol thickness distribution according to an embodiment of the present invention;
FIG. 4 is a flow chart of another method for determining a score for a specified pollution indicator according to an embodiment of the present invention;
FIG. 5 is a graph showing the concentration distribution of tropospheric ozone columns according to an embodiment of the present invention;
FIG. 6 is a flow chart of another method for determining a score for a specified pollution indicator according to an embodiment of the present invention;
FIG. 7 is a graph illustrating a total nitrogen dioxide distribution according to an embodiment of the present invention;
FIG. 8 is a flow chart of another method for determining a score for a specified pollution indicator according to an embodiment of the present invention;
FIG. 9 is a diagram illustrating a distribution of the total amount of sulfur dioxide provided by an embodiment of the present invention;
fig. 10 is a schematic structural diagram of an atmospheric environment evaluation device according to an embodiment of the present invention;
fig. 11 is a schematic structural diagram of an electronic system according to an embodiment of the invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The quality affecting the atmospheric environment includes a variety of factors, among which solid or liquid particles suspended in the atmosphere, which may be referred to as aerosols, whose presence reduces the permeability of the entire atmosphere, manifested as cloudiness of the atmosphere, reduced vertical visibility; in addition, the optical thickness of the aerosol can quantitatively express the optical turbidity of the atmosphere, and the content of suspended particles in the air in haze weather and sand weather can be reflected to a certain extent; nitrogen oxides, especially nitrogen dioxide, in the atmospheric troposphere closest to humans, can directly affect the quality of the atmospheric environment and global climate changes and can also directly or indirectly cause radiation compelling of the climate. In addition, under specific conditions, nitrogen oxides can produce photochemical smog with volatile organic compounds; sulfur dioxide is also a major pollutant affecting the atmosphere in urban areas, and changes in the concentration of sulfur dioxide in the atmosphere, as well as gas particle conversion, have a significant impact on the global radiant energy balance and human health. The method, the device and the electronic system for evaluating the atmospheric environment provided by the embodiment of the invention can effectively make up the deficiency of the discretely distributed ground observation stations in the spatial distribution, thereby providing a more comprehensive atmospheric environment evaluation result.
For the convenience of understanding the present embodiment, a detailed description will be given of an atmospheric environment evaluation method disclosed in the present embodiment.
The first embodiment is as follows:
the embodiment provides an evaluation method of an atmospheric environment, as shown in fig. 1, the method includes the following steps:
step S102, acquiring a correlation value of a specified pollution index in a satellite remote sensing mode;
the satellite remote sensing can acquire satellite data by using a remote sensing technology platform, and can acquire a correlation value of a specified pollution index through a remote sensing instrument corresponding to atmospheric monitoring. The specified pollution indicators can be monitorable atmospheric pollutants, such as sulfur dioxide, nitrogen dioxide, carbon monoxide, particulate matter, sulfuric acid, sulfate aerosols, nitric acid, nitrate aerosols, ozone, photochemical oxidants, and the like. The relevant value of the specified pollution index can be a concentration value of the specified pollutant in a certain area and a certain atmosphere, for example, the concentration of ozone in a troposphere and the like. The correlation value of the specified pollution index can be acquired from a meteorological chart which is acquired by a satellite remote sensing instrument and aims at the specified pollution index.
Specifically, the remote sensing instrument in the satellite orbit can acquire relevant information of specified pollution indexes, the relevant information can be a plurality of pieces of initial image information, the initial image information comprises the total area of the acquired areas, the acquired initial image information can be projected and spliced to obtain image information of the specified pollution indexes in different areas, and each pixel point in the image information comprises a relevant value of the corresponding specified pollution index. In addition, the specified contamination index may be plural.
Step S104, determining the grade of the specified pollution index according to the correlation value of the specified pollution index;
the correlation value of the designated pollution index usually varies according to the different collection areas, for example, a city is overhead, the ozone concentration in a suburb is lower than the concentration value in a city center, so that the correlation value of the designated pollution index in the collection area can be obtained, and the score of the designated pollution index can be determined according to the magnitude of the correlation value and the air quality corresponding to the magnitude of the correlation value. The grade of the specified pollution index can evaluate the pollution degree of the specified pollution index to the air quality. Specifically, the sizes of the correlation values may be segmented, and each segment corresponds to a different pollution degree, such as excellent, good, light pollution, heavy pollution, and the like. The score of the specified pollution index can be determined according to the area sizes corresponding to different pollution degrees.
And step S106, determining the grading result of the atmospheric environment according to the grade of the specified pollution index.
For the evaluation of atmospheric environment, it is usually necessary to analyze various specified pollution indexes and determine a final score; specifically, the scoring weight of each designated pollution index can be determined by analyzing the contribution degree of the designated pollution index to the atmospheric pollution, and the scoring result of the atmospheric environment can be determined by integrating the scoring of the designated pollution index and the corresponding weight. For example, the scores of the weighted specified pollution indicators may be added to obtain the final score of the atmospheric environment.
According to the atmospheric environment evaluation method provided by the embodiment of the invention, the correlation value of the specified pollution index is obtained in a satellite remote sensing mode; determining the grade of the specified pollution index according to the correlation value of the specified pollution index; and determining the scoring result of the atmospheric environment according to the score of the specified pollution index. In the mode, the atmospheric environment is evaluated on the basis of the pollutant information acquired by the satellite remote sensing technology, so that the accuracy of atmospheric environment evaluation is improved, and a more comprehensive atmospheric environment evaluation result is provided.
Further, the specified pollution indexes at least include: aerosol optical thickness, ozone, nitrogen dioxide, and sulfur dioxide. Referring to a flowchart of a method for determining a score of a specified pollution index shown in fig. 2, according to a correlation value of the specified pollution index, a specific implementation manner of the step of determining the score of the specified pollution index is shown in fig. 2, and the method includes the following steps:
step S202, extracting the annual average aerosol optical thickness value of the designated area;
the specified area can be any one of areas in the country, which can be acquired by a satellite remote sensing instrument. Therefore, the correlation value of the specified pollution index of the specified area can be extracted according to the requirement; the aerosol is one of the most important parameters for evaluating the quality of the atmosphere, and the key physical quantity for representing the turbidity degree of the atmosphere is also an important factor for determining the climate effect of the aerosol. Typically high annual average aerosol optical thickness values are indicative of an increase in longitudinal build-up of the aerosol, thus resulting in reduced atmospheric visibility.
Step S204, grading the optical thickness value of the aerosol; the grading comprises the area corresponding to each grading and the weight of each grading;
the grading can be divided according to the optical thickness value of the annual average aerosol, and each grading represents a pollution degree to the atmospheric environment; the above value of the optical thickness of the aerosol is usually greater than zero, and the value of the optical thickness of the aerosol can be graded, specifically, the value is set to be excellent in the range of 0to 0.3, good in the range of 0.3 to 0.6, light in the range of 0.6 to 1.0, and moderate in the range of greater than 1.0. The numerical value of each aerosol optical thickness corresponds to one pixel point, so that the area corresponding to each grade can be obtained according to the pixels of the image. Wherein, the area of the good area is positive contribution, the area of the polluted area is negative contribution, the areas can be divided into four grades, the weight of the good area is 1.25, the good area is 1, the light pollution is-1, and the heavy pollution is-1.25.
And step S206, determining the annual average aerosol optical thickness score of the designated area according to the area and the weight of the area.
The score is typically calculated in a 10-point scale, so the area ratio of the bins can be calculated from the area of the region for each bin, versus the total area of the region. The area ratio of the areas corresponding to the excellent pollution can be represented by a letter a, the area ratio of the areas corresponding to the excellent pollution can be represented by a letter b, the area ratio of the areas corresponding to the light pollution can be represented by a letter c, and the area ratio of the areas corresponding to the heavy pollution can be represented by a letter d; according to the weight of each step determined above, the scoring calculation formula of the aerosol optical thickness can be expressed as:
4*[(1.25*a+b)-(c+1.25*d)]+5 (1)
the annual average aerosol optical thickness score for a given area can be determined according to the above formula. According to the scoring result
For example, the annual average air quality in the city of Shaxi county of Shaoyang, Guangdong province is mainly good, and the good area accounts for 100%, wherein the good area accounts for about 14.84% of the scope of the Guangdong province, and the good area accounts for about 85.16% of the scope of the Guangxi county. Wherein the air quality is better in the west of the county than in the east. The results are shown in table 1 and the aerosol optical thickness profile is shown in fig. 3, where the air quality is better in the west county than in the east county.
TABLE 1 satellite atmospheric aerosol score table
Figure BDA0002353123580000081
Further, referring to another flowchart of the method for determining the score of the specified pollution index shown in fig. 4, the implementation process of the step of determining the score of the specified pollution index according to the correlation value of the specified pollution index is shown in fig. 4, and the method includes the following steps:
step S402, extracting an ozone concentration value of a designated area;
the specified area can be any one of areas in the country, which can be acquired by a satellite remote sensing instrument. Therefore, the correlation value of the specified pollution index of the specified area can be extracted according to the requirement; the ozone concentration value can be a DU (Dobson unit) value for tropospheric ozone concentration, wherein DU indicates that one thousandth of a centimeter (10 microns) thick ozone layer is one multiple budson unit at a pressure of 760torr and a temperature of 273 k. Generally, higher values of the ozone concentration DU indicate that the worse the quality of the atmosphere, the more serious the pollution.
Step S404, grading the ozone concentration value; the grading comprises the area corresponding to each grading and the weight of each grading;
the grading can be divided according to the size of an ozone concentration DU value and a ground 1-hour ozone concentration standard, and each grading represents a pollution degree to the atmospheric environment; the value of the ozone concentration DU is usually larger than zero, and the value of the ozone concentration DU can be graded, specifically, the value is set to be excellent from 0DU to 35DU, the value is set to be good from 35DU to 45DU, the value is set to be light pollution from 45DU to 50DU, and the value is medium and heavy pollution more than 50 DU. Each ozone concentration DU value corresponds to one pixel point, so that the area of the region corresponding to each grade can be obtained according to the pixels of the image. Wherein, the area of the good area is positive contribution, the area of the polluted area is negative contribution, the areas can be divided into four grades, the weight of the good area is 2, the good area is 1, the light pollution is-1, and the heavy pollution is-2.
Step S406, determining the ozone concentration score of the designated area according to the area and the weight of the area.
The score is typically calculated in a 10-point scale, so the area ratio of the bins can be calculated from the area of the region for each bin, versus the total area of the region. The area ratio of the areas corresponding to the excellent pollution can be represented by a letter e, the area ratio of the areas corresponding to the excellent pollution can be represented by a letter f, the area ratio of the areas corresponding to the light pollution can be represented by a letter g, and the area ratio of the areas corresponding to the heavy pollution can be represented by a letter h; according to the weight of each step determined above, the scoring calculation formula of the ozone concentration can be expressed as:
2.5*[(2*e+f)-(g+2*h)]+5 (2)
the ozone concentration score for a given area can be determined according to the above formula.
For example, the annual tropospheric ozone concentration in the city of Yang-uncovering, Guangdong province is good, the proportion of the good area in the scope of the good area is 100%, and the score is 8 points; the space difference of the concentration change of the troposphere ozone column is small. The evaluation results are shown in Table 2, and the tropospheric ozone column concentration profile is shown in FIG. 5.
TABLE 2 evaluation results of ozone column concentration in atmospheric troposphere of satellite
Figure BDA0002353123580000101
Further, referring to another flowchart of the method for determining the score of the specified pollution index shown in fig. 6, the implementation process of the step of determining the score of the specified pollution index according to the correlation value of the specified pollution index is shown in fig. 6, and the method includes the following steps:
step S602, extracting a nitrogen dioxide value of a designated area;
the specified area can be any one of areas in the country, which can be acquired by a satellite remote sensing instrument. Therefore, the correlation value of the specified pollution index of the specified area can be extracted according to the requirement; the nitrogen dioxide value may be an annual average nitrogen dioxide value, wherein the environmental effects caused by nitrogen dioxide are varied, including: the influence on competition and composition change between wetland and terrestrial plant species, reduction of atmospheric visibility, acidification of surface water and the like are important atmospheric pollutants. Generally higher nitrogen dioxide values indicate a poorer quality of the atmosphere and a more severe pollution.
Step S604, grading the nitrogen dioxide value; the grading comprises the area corresponding to each grading and the weight of each grading;
the grades can be divided according to the nitrogen dioxide value, and each grade represents a pollution degree to the atmospheric environment; the nitrogen dioxide value is usually greater than zero, and the nitrogen dioxide value may be classified, specifically, the value may be 0to 5 × 1015Is set to be excellent at 5X 1015To 1X 1016Is well arranged at 1X 1016To 2X 1016Is set to be slightly contaminated, more than 2X 1016It is moderate and severe pollution. Each nitrogen dioxide value corresponds to one pixel point, so that the area of the region corresponding to each grade can be obtained according to the pixels of the image. Wherein, the area of the good area is positive contribution, the area of the polluted area is negative contribution, the areas can be divided into four grades, the weight of the good area is 2, the good area is 1, the light pollution is-1, and the heavy pollution is-2.
And step S606, determining the grade of the nitrogen dioxide in the designated area according to the area and the weight of the area.
The score is typically calculated in a 10-point scale, so the area ratio of the bins can be calculated from the area of the region for each bin, versus the total area of the region. The area ratio of the area corresponding to the excellent pollution can be represented by a letter i, the area ratio of the area corresponding to the excellent pollution can be represented by a letter j, the area ratio of the area corresponding to the light pollution can be represented by a letter k, and the area ratio of the area corresponding to the heavy pollution can be represented by a letter l; according to the weight of each step determined above, the formula for calculating the score of nitrogen dioxide can be expressed as:
2.5*[(2*i+j)-(k+2*l)]+5 (3)
the score of the nitrogen dioxide in the designated area can be determined according to the formula.
For example, the annual average air quality in the city of Shai xi county of Shaoyang, Guangdong province is mainly excellent, the excellent area accounts for 100%, wherein the excellent area accounts for about 100% of the scope under the jurisdiction. The evaluation results are shown in table 3, and the annual average distribution chart is shown in fig. 7.
TABLE 3 Total troposphere scoring table for satellite atmospheric nitrogen dioxide
Figure BDA0002353123580000111
Further, referring to another flowchart of the method for determining the score of the specified pollution index shown in fig. 8, the implementation process of the step of determining the score of the specified pollution index according to the correlation value of the specified pollution index is shown in fig. 8, and the method includes the following steps:
step S802, extracting a sulfur dioxide value of a designated area;
the specified area can be any one of areas in the country, which can be acquired by a satellite remote sensing instrument. Therefore, the correlation value of the specified pollution index of the specified area can be extracted according to the requirement; the sulfur dioxide nitrogen value may be an annual average sulfur dioxide value, wherein sulfur dioxide is an important atmospheric pollutant and can cause serious pollution to the atmosphere. Generally higher values of sulphur dioxide indicate a poorer quality of the atmosphere and a more severe pollution.
Step S804, grading the sulfur dioxide value; the grading comprises the area corresponding to each grading and the weight of each grading;
the grades can be divided according to the size of the sulfur dioxide value, and each grade represents a pollution degree to the atmospheric environment; the above-mentioned sulfur dioxide value is usually greater than zero, and the sulfur dioxide value can be graded, specifically, the value can be set to be excellent from 0to 0.1, good from 0.1 to 0.2, light pollution from 0.2 to 0.5, and medium pollution greater than 0.5. Each sulfur dioxide value corresponds to one pixel point, so that the area of the region corresponding to each grade can be obtained according to the pixels of the image. Wherein, the area of the good area is positive contribution, the area of the polluted area is negative contribution, the areas can be divided into four grades, the weight of the good area is 2, the good area is 1, the light pollution is-1, and the heavy pollution is-2.
And step S806, determining the score of the sulfur dioxide in the designated area according to the area and the weight of the area.
The score is typically calculated in a 10-point scale, so the area ratio of the bins can be calculated from the area of the region for each bin, versus the total area of the region. The area ratio of the areas corresponding to the excellent pollution can be represented by a letter m, the area ratio of the areas corresponding to the excellent pollution can be represented by a letter n, the area ratio of the areas corresponding to the light pollution can be represented by a letter o, and the area ratio of the areas corresponding to the heavy pollution can be represented by a letter p; according to the weight of each grade determined above, the scoring calculation formula of sulfur dioxide can be expressed as:
2.5*[(2*m+n)-(o+2*p)]+5 (4)
the score of the sulfur dioxide in the designated area can be determined according to the formula.
For example, the annual average air quality in the city of Shaxi county of Shaoyang, Guangdong province is mainly good, and the good area accounts for 100%, wherein the good area accounts for about 85.08% of the scope of the Guangdong province, and the good area accounts for about 14.92% of the scope of the Guangxi county. The evaluation results are shown in table 4, and the distribution of the annual average value is shown in fig. 9.
TABLE 4 satellite atmosphere sulfur dioxide scoring table
Figure BDA0002353123580000121
Figure BDA0002353123580000131
Further, the step of determining the scoring result of the atmospheric environment according to the score of the specified pollution index includes: determining a weight for the score for each specified pollution indicator; and determining the scoring result of the atmospheric environment according to the scoring and the weight.
The atmospheric environment score can be calculated in tenths. The primary pollutants in the atmosphere in most areas of China are particulate matters, and troposphere ozone is mainly generated through photochemical reaction, so that the troposphere ozone mainly occurs in summer with good illumination conditions, and the weight of the troposphere ozone and aerosol is 1: 4; both nitrogen dioxide and sulfur dioxide are gaseous pollutants, and contribute to atmospheric pollution, but the weight ratio of nitrogen dioxide image information to sulfur dioxide is 3:2 because the signal-to-noise ratio of the nitrogen dioxide image information is obviously higher than that of the sulfur dioxide. Therefore, the weight ratio of aerosol, nitrogen dioxide, sulfur dioxide and troposphere ozone can be set to be 4:3:2:1, and the calculation formula for obtaining the atmospheric total quality score is as follows:
Figure BDA0002353123580000132
wherein A is the aerosol score, B is the nitrogen dioxide score, C is the sulfur dioxide score, and D is the tropospheric ozone score.
For example, the total quality of the atmosphere in the city of Shaoyi, Guangdong province was evaluated according to the above evaluation method. The detailed evaluation results are shown in table 5:
TABLE 5 global quality of satellite atmosphere scoring table
Figure BDA0002353123580000133
The method can highlight the advantages of the remote sensing technology in large-scale space monitoring, and evaluates main pollutants in the atmosphere such as aerosol, nitrogen dioxide, sulfur dioxide and troposphere ozone so as to realize large-scale and space continuous comprehensive evaluation of the overall quality of the atmosphere. The method is combined with single-point ground atmospheric environment observation data, so that the defects of the ground observation stations which are distributed discretely in spatial distribution can be effectively overcome, and a more comprehensive atmospheric environment evaluation result is provided.
Example two:
in correspondence with the above method embodiment, referring to a schematic structural diagram of an atmospheric environment evaluation device shown in fig. 10, the device includes:
an index value acquisition module 1010, configured to acquire a correlation value of the specified pollution index in a satellite remote sensing manner;
a score determining module 1020 for determining a score of the specified pollution index according to the correlation value of the specified pollution index;
and a result determination module 1030, configured to determine a scoring result of the atmospheric environment according to the score of the specified pollution index.
Further, the specified pollution indexes at least include: aerosol optical thickness, ozone, nitrogen dioxide, and sulfur dioxide.
Further, the score determining module is configured to: extracting the annual average aerosol optical thickness value of the designated area; grading the optical thickness value of the aerosol; the grading comprises the area corresponding to each grading and the weight of each grading; according to the area and the weight of the area, the annual average aerosol optical thickness of the designated area is determined.
Further, the score determining module is configured to: extracting an ozone concentration value of a designated area; grading the ozone concentration value; the grading comprises the area corresponding to each grading and the weight of each grading; a score for the ozone concentration of the designated area is determined based on the area of the area and the weight.
Further, the score determining module is configured to: extracting a nitrogen dioxide value of a designated area; grading the nitrogen dioxide value; the grading comprises the area corresponding to each grading and the weight of each grading; and determining the score of the nitrogen dioxide of the designated area according to the area and the weight of the area.
Further, the score determining module is configured to: extracting the sulfur dioxide value of the designated area; grading the sulfur dioxide value; the grading comprises the area corresponding to each grading and the weight of each grading; and determining the score of the sulfur dioxide in the designated area according to the area and the weight of the area.
Further, the result determination module: determining a weight for the score for each specified pollution indicator; and determining the scoring result of the atmospheric environment according to the scoring and the weight.
According to the atmospheric environment evaluation device provided by the embodiment of the invention, the correlation value of the specified pollution index is obtained in a satellite remote sensing mode; determining the grade of the specified pollution index according to the correlation value of the specified pollution index; and determining the scoring result of the atmospheric environment according to the score of the specified pollution index. In the method, the atmospheric environment is evaluated on the basis of the value acquired by the satellite remote sensing technology, so that the accuracy of atmospheric environment evaluation is improved, and a more comprehensive atmospheric environment evaluation result is provided.
The evaluation device for the atmospheric environment provided by the embodiment of the invention has the same technical characteristics as the evaluation method for the atmospheric environment provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
This embodiment also provides an electronic system, such as the schematic of the electronic system shown in fig. 11, where the electronic system 100 includes one or more processing devices 102, one or more memory devices 104, an input device 106, an output device 108, and one or more image capture devices 110, which are interconnected via a bus system 112 and/or other types of connection mechanisms (not shown). It should be noted that the components and structure of electronic system 100 shown in fig. 11 are exemplary only, and not limiting, and that electronic systems may have other components and structures as desired.
Processing device 102 may be a gateway or may be an intelligent terminal or device that includes a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may process data from and control other components of electronic system 100 to perform desired functions.
Storage 104 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. Volatile memory can include, for example, Random Access Memory (RAM), cache memory (or the like). The non-volatile memory may include, for example, Read Only Memory (ROM), a hard disk, flash memory, and the like. One or more computer program instructions may be stored on a computer-readable storage medium and executed by processing device 102 to implement the client functionality (implemented by the processing device) of the embodiments of the invention described below and/or other desired functionality. Various applications and various data, such as various data used and/or generated by the applications, may also be stored in the computer-readable storage medium.
The input device 106 may be a device used by a user to input instructions and may include one or more of a keyboard, a mouse, a microphone, a touch screen, and the like.
The output device 108 may output various information (e.g., images or sounds) to the outside (e.g., a user), and may include one or more of a display, a speaker, and the like.
Image capture device 110 may capture preview video frames or picture data (e.g., pictures to be recognized or training pictures) and store the captured preview video frames or image data in storage 104 for use by other components.
For example, the devices in the electronic system for implementing the atmospheric environment evaluation method, apparatus and electronic system according to the embodiment of the present invention may be integrally disposed, or may be disposed in a distributed manner, such as integrally disposing the processing device 102, the storage device 104, the input device 106 and the output device 108, and disposing the image capturing device 110 at a designated position where a picture can be captured. When the devices in the above-described electronic system are integrally provided, the electronic system may be implemented as an intelligent terminal such as a smart phone, a tablet computer, a computer, or the like.
The atmospheric environment evaluation method, the atmospheric environment evaluation device, and the electronic system computer program product provided by the embodiments of the present invention include a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiments, and specific implementation may refer to the method embodiments, and are not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases for those skilled in the art.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that the following embodiments are merely illustrative of the present invention, and not restrictive, and the scope of the present invention is not limited thereto: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A method for evaluating an atmospheric environment, the method comprising:
acquiring a correlation value of a specified pollution index in a satellite remote sensing mode;
determining the grade of the specified pollution index according to the correlation value of the specified pollution index;
and determining the scoring result of the atmospheric environment according to the score of the specified pollution index.
2. The method of claim 1, wherein the specified pollution indicators comprise at least: aerosol optical thickness, ozone, nitrogen dioxide, and sulfur dioxide;
the step of determining the score of the specified pollution index according to the correlation value of the specified pollution index comprises the following steps:
extracting the annual average aerosol optical thickness value of the designated area;
grading the aerosol optical thickness values; the grading comprises the area corresponding to each grading and the weight of each grading;
determining a score for the annual average aerosol optical thickness for a given region based on the region area and the weight.
3. The method of claim 2, wherein the step of determining a score for the specified pollution indicator based on the value associated with the specified pollution indicator comprises:
extracting an ozone concentration value of a designated area;
grading the ozone concentration value; the grading comprises the area corresponding to each grading and the weight of each grading;
determining a score for ozone concentration for a given region based on the region area and the weight.
4. The method of claim 2, wherein the step of determining a score for the specified pollution indicator based on the value associated with the specified pollution indicator comprises:
extracting a nitrogen dioxide value of a designated area;
grading the nitrogen dioxide value; the grading comprises the area corresponding to each grading and the weight of each grading;
and determining the score of the nitrogen dioxide in the designated area according to the area of the area and the weight.
5. The method of claim 2, wherein the step of determining a score for the specified pollution indicator based on the value associated with the specified pollution indicator comprises:
extracting the sulfur dioxide value of the designated area;
grading the sulfur dioxide value; the grading comprises the area corresponding to each grading and the weight of each grading;
and determining the score of the sulfur dioxide in the specified area according to the area of the area and the weight.
6. The method of claim 1, wherein the step of determining a scoring result for the atmospheric environment based on the score for the specified pollution indicator comprises:
determining a weight for the score for each of the specified pollution indicators;
and determining a scoring result of the atmospheric environment according to the score and the weight.
7. An apparatus for evaluating an atmospheric environment, the apparatus comprising:
the index value acquisition module is used for acquiring a correlation value of the specified pollution index in a satellite remote sensing mode;
the score determining module is used for determining the score of the specified pollution index according to the correlation value of the specified pollution index;
and the result determining module is used for determining the scoring result of the atmospheric environment according to the score of the specified pollution index.
8. The apparatus of claim 7, wherein the specified pollution indicators comprise at least: aerosol optical thickness, ozone, nitrogen dioxide, and sulfur dioxide;
the score determination module is to:
extracting the annual average aerosol optical thickness value of the designated area;
grading the aerosol optical thickness values; the grading comprises the area corresponding to each grading and the weight of each grading;
determining a score for the annual average aerosol optical thickness for a given region based on the region area and the weight.
9. An electronic system, characterized in that the electronic system comprises: a processing device and a storage device;
the storage means has stored thereon a computer program which, when executed by the processing device, performs the method of assessing an atmospheric environment according to any one of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processing device, performs the steps of the method of evaluating an atmospheric environment according to any one of claims 1 to 6.
CN201911426016.8A 2019-12-31 2019-12-31 Atmospheric environment evaluation method and device and electronic system Pending CN111178776A (en)

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Application publication date: 20200519