CN111524558B - Ozone generation sensitivity indicator, and method and device for determining same - Google Patents

Ozone generation sensitivity indicator, and method and device for determining same Download PDF

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CN111524558B
CN111524558B CN202010601269.0A CN202010601269A CN111524558B CN 111524558 B CN111524558 B CN 111524558B CN 202010601269 A CN202010601269 A CN 202010601269A CN 111524558 B CN111524558 B CN 111524558B
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ozone
indicator
distribution map
pollution
space distribution
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CN111524558A (en
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吴剑斌
晏平仲
陈焕盛
秦东明
王文丁
张稳定
钟方潜
肖林鸿
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3Clear Technology Co Ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/10Analysis or design of chemical reactions, syntheses or processes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/75Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G01N21/78Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
    • G01N21/783Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour for analysing gases
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036Specially adapted to detect a particular component
    • G01N33/0039Specially adapted to detect a particular component for O3
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0062General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method, e.g. intermittent, or the display, e.g. digital
    • G01N33/0063General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method, e.g. intermittent, or the display, e.g. digital using a threshold to release an alarm or displaying means
    • G01N33/0065General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method, e.g. intermittent, or the display, e.g. digital using a threshold to release an alarm or displaying means using more than one threshold
    • 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/70Machine learning, data mining or chemometrics

Abstract

The invention provides an ozone generation sensitivity indicator, a determination method and a device thereof, wherein the method comprises the following steps: acquiring a reference space distribution map corresponding to a to-be-detected ozone pollution place; generating an indication space distribution map corresponding to each indicator according to the benchmark test; determining a target indicator corresponding to the ozone pollution area to be detected according to the indication space distribution map and the reference space distribution map; determining a judgment threshold value of the target indicator and a transition region corresponding to the judgment threshold value according to the target indicator, wherein the judgment threshold value is determined according to the target indicator
Figure 248257DEST_PATH_IMAGE001
The ratio of the rate of change to the indicator yield was generated for the determination. The method and the device have the advantages that the target indicator suitable for the ozone pollution place to be detected is accurately determined according to different actual pollution conditions of different ozone pollution places to be detected, so that the judgment threshold value of the target indicator is obtained, and the effectiveness and the accuracy of the ozone pollution treatment of the pollution places are further improved.

Description

Ozone generation sensitivity indicator, and method and device for determining same
Technical Field
The invention relates to the technical field of environmental pollution treatment, in particular to an ozone generation sensitivity indicator, and a determination method and a determination device thereof.
Background
Ozone pollution is receiving increasing attention as one of environmental pollution. Ozone is formed by irradiating nitrogen oxides and hydrocarbons in the atmosphere with the sun to cause optical reactions. Normal ozone in the atmosphere can absorb most of the short-wavelength radiation, raise the temperature of the atmosphere, and protect the living things on earth from excessive ultraviolet rays, so it is called "umbrella for protecting living things on earth".
However, atmospheric ozone pollution is in an aggravating situation, ozone near the ground is an air pollutant generated secondarily after photochemical reaction, the ozone serves as a strong oxidant, the distribution and change of the ozone in a troposphere directly influence the concentration and service life of other chemical substances, free radicals and the like, and the temperature structure of the troposphere is changed by absorbing ultraviolet light of solar radiation, so that the circulation and balance of atmospheric chemistry are influenced.
For the problem of ozone pollution, the problem of sensitivity of ozone photochemical reaction is needed, namely, volatile organic compounds (according to the main components participating in the process of ozone photochemical reaction: (
Figure 858054DEST_PATH_IMAGE001
) Nitrogen oxide(s) (iii)
Figure 303948DEST_PATH_IMAGE002
) And the ozone precursor is more sensitive and is easier to form the problem of ozone chemical pollution. However, prior art observation-based research methods use a large number of observation-based research methodsEvaluation of data
Figure 527119DEST_PATH_IMAGE002
Discharging and
Figure 529710DEST_PATH_IMAGE001
the effect of emission reduction is realized by emission, and the effect that the concentration of ozone can reach the standard cannot be predicted
Figure 521936DEST_PATH_IMAGE002
Discharging and
Figure 420622DEST_PATH_IMAGE001
the specific reduction of emissions. Or using nested grid air quality prediction mode NAQPMS or other numerical modes, based on the study of source emission, using modification of emission list, e.g. reduction of ozone precursor in a specific proportion
Figure 117707DEST_PATH_IMAGE001
Figure 861672DEST_PATH_IMAGE002
Etc. to simulate the generation response of the ozone concentration to judge which substance is more easily controlled. However, the method consumes a great deal of computing resources and computing time for the calculation of the ozone generation sensitivity and the precursor control ratio, and has no wide usability and good timeliness.
Disclosure of Invention
The invention provides an ozone generation sensitivity indicator, and a determination method and a determination device thereof, which are used for improving the accuracy of determining a target indicator suitable for an ozone pollution area to be detected according to different actual pollution conditions of different ozone pollution areas to be detected, further obtaining a judgment threshold value of the target indicator, and further improving the effectiveness and accuracy of the ozone pollution control of the pollution areas.
In a first aspect, embodiments of the present invention provide a method for determining an ozone generation sensitivity indicator, including:
acquiring a reference space distribution map corresponding to an ozone pollution place to be detected, wherein the reference space distribution map simulates a space distribution map of the ozone concentration change of the ozone pollution place to be detected according to a preset emission pollution source test and a reference test;
generating an indication space distribution diagram corresponding to each indicator according to the reference test, wherein the indication space distribution diagram is used for respectively generating space distribution diagrams corresponding to the indicator concentration change based on the reference test;
and determining the target indicator corresponding to the ozone pollution area to be detected according to the indication space distribution map and the reference space distribution map.
In an alternative embodiment, after determining the corresponding target indicator to be detected for ozone contamination, the method further comprises: determining a judgment threshold value of the target indicator and a transition region corresponding to the judgment threshold value according to the target indicator, wherein the judgment threshold value is determined according to the target indicator
Figure 770723DEST_PATH_IMAGE003
The ratio of the rate of change to the indicator yield was generated for the determination.
In an alternative embodiment, obtaining a corresponding reference spatial profile of the site to be tested for ozone contamination comprises:
according to the benchmark test, obtaining a first space distribution map of the to-be-detected ozone polluted area;
generating a second spatial distribution map of the to-be-detected ozone-polluted site according to the preset emission pollution source test;
and generating the reference spatial distribution map according to the first spatial distribution map and the second spatial distribution map.
In an alternative embodiment, determining the target indicator corresponding to the ozone contamination to be detected according to the indication spatial distribution map and the reference spatial distribution map includes:
matching each indicated spatial distribution map with the reference spatial distribution map respectively;
and if the indication space distribution diagram is matched with the reference space distribution diagram, obtaining the target indicator corresponding to the indication space distribution diagram.
In an alternative embodiment, determining the decision threshold for the target indicator comprises:
obtaining the emission according to the preset emission pollution source test
Figure 574731DEST_PATH_IMAGE003
Generating a scatter diagram of the corresponding relation between the change rate and each indicator;
comparing the scatter diagram to obtain the
Figure 506914DEST_PATH_IMAGE003
Generating a change scatter value of the rate of change with the indicator;
and determining a judgment threshold value of the target indicator corresponding to the area to be detected with ozone pollution according to the change scatter value.
In an alternative embodiment, after determining the judgment threshold of the target indicator, the method further includes:
obtaining a scatter value corresponding to the target indicator in the same group of preset emission pollution source tests,
and if the difference between the scatter value corresponding to the target indicator in the first preset emission pollution source test in the same group of preset emission pollution source tests and the scatter value corresponding to the target indicator in the second preset emission pollution source test in the same group of preset emission pollution source tests meets a preset threshold range, determining a transition area corresponding to the judgment threshold.
In an alternative embodiment, after determining the judgment threshold of the target indicator, the method further comprises:
and obtaining pollution source treatment guidance conditions corresponding to the to-be-detected ozone pollution area according to the judgment threshold value.
In an alternative embodiment, the indicator comprises at least one of:
Figure 303838DEST_PATH_IMAGE004
in a second aspect, embodiments of the present invention provide an ozone generation sensitivity indicator based on the determination in the first aspect, the ozone generation sensitivity indicator being
Figure 270657DEST_PATH_IMAGE005
The judgment threshold value of the ozone generation sensitivity indicator comprises
Figure 307883DEST_PATH_IMAGE006
0.19 and 0.42, the transition region corresponding to the judgment threshold value comprises
Figure 727363DEST_PATH_IMAGE006
Is 0.19-0.42.
In a third aspect, an embodiment of the present invention provides an apparatus for determining an ozone generation sensitivity indicator, including:
the acquisition module is used for acquiring a reference spatial distribution map corresponding to an ozone pollution place to be detected, and the reference spatial distribution map simulates a spatial distribution map of the ozone concentration change of the ozone pollution place to be detected according to a preset emission pollution source test and a reference test;
the generating module is used for generating an indication space distribution map corresponding to each indicator according to the benchmark test;
and the determining module is used for determining the target indicator corresponding to the ozone pollution area to be detected according to the indication space distribution map and the reference space distribution map.
In an alternative embodiment, after determining the corresponding target indicator to be detected for ozone contamination, the method further comprises: determining a judgment threshold value of the target indicator and a transition region corresponding to the judgment threshold value according to the target indicator, wherein the judgment threshold value is determined according to the target indicator
Figure 813131DEST_PATH_IMAGE003
The ratio of the rate of change to the indicator yield was generated for the determination.
In an optional embodiment, the obtaining module is specifically configured to:
according to the benchmark test, obtaining a first space distribution map of the to-be-detected ozone polluted area;
generating a second spatial distribution map of the to-be-detected ozone-polluted site according to the preset emission pollution source test;
and generating the reference spatial distribution map according to the first spatial distribution map and the second spatial distribution map.
In an optional embodiment, the determining module is specifically configured to:
matching each indicated spatial distribution map with the reference spatial distribution map respectively;
and if the indication space distribution diagram is matched with the reference space distribution diagram, obtaining the target indicator corresponding to the indication space distribution diagram.
In an alternative embodiment, determining the decision threshold for the target indicator comprises:
obtaining the emission according to the preset emission pollution source test
Figure 883724DEST_PATH_IMAGE003
Generating a scatter diagram of the corresponding relation between the change rate and each indicator;
comparing the scatter diagram to obtain the
Figure 295114DEST_PATH_IMAGE003
Generating a change scatter value of the rate of change with the indicator;
and determining a judgment threshold value of the target indicator corresponding to the area to be detected with ozone pollution according to the change scatter value.
In an alternative embodiment, after determining the judgment threshold of the target indicator, the method further includes:
obtaining a scatter value corresponding to the target indicator in the same group of preset emission pollution source tests,
and if the difference between the scatter value corresponding to the target indicator in the first preset emission pollution source test in the same group of preset emission pollution source tests and the scatter value corresponding to the target indicator in the second preset emission pollution source test in the same group of preset emission pollution source tests meets a preset threshold range, determining a transition area corresponding to the judgment threshold.
In an alternative embodiment, after determining the judgment threshold of the target indicator, the method further comprises:
and obtaining pollution source treatment guidance conditions corresponding to the to-be-detected ozone pollution area according to the judgment threshold value.
In an alternative embodiment, the indicator comprises at least one of:
Figure 998627DEST_PATH_IMAGE004
in a fourth aspect, embodiments of the present invention provide a system for determining an ozone generation sensitivity indicator, comprising: a storage and processor having stored therein executable instructions of the process; wherein the processor is configured to perform the method of determining an ozone generation sensitivity indicator of any one of the first aspect via execution of the executable instructions.
In a fifth aspect, embodiments of the present invention provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the method for determining an ozone generation sensitivity indicator according to any one of the first aspect.
The invention provides an ozone generation sensitivity indicator, a determination method and a device thereof, wherein the method comprises the following steps: acquiring a reference space distribution map corresponding to an ozone pollution place to be detected, wherein the reference space distribution map simulates a space distribution map of the ozone concentration change of the ozone pollution place to be detected according to a preset emission pollution source test and a reference test; generating an indication space distribution map corresponding to each indicator according to the benchmark test; determining a target indicator corresponding to the ozone pollution area to be detected according to the indication space distribution map and the reference space distribution map; determining a judgment threshold value of the target indicator and a transition region corresponding to the judgment threshold value according to the target indicator, wherein the judgment threshold value is used for judging whether the target indicator is in a transition region or notCutoff threshold value according to
Figure 888086DEST_PATH_IMAGE003
The ratio of the rate of change to the indicator yield was generated for the determination. The method and the device have the advantages that the target indicator suitable for the ozone pollution place to be detected is accurately determined according to different actual pollution conditions of different ozone pollution places to be detected, so that the judgment threshold value of the target indicator is obtained, and the effectiveness and the accuracy of the ozone pollution treatment of the pollution places are further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a diagram of an exemplary application scenario of the present invention;
FIG. 2 is a flow chart of a method for determining an ozone generation sensitivity indicator provided by an embodiment of the present invention;
fig. 3a) is a first schematic view of a reference spatial distribution corresponding to a predetermined emission pollutant test according to an embodiment of the present invention;
fig. 3b) is a schematic view of a reference spatial distribution corresponding to a preset emission pollution source test according to an embodiment of the present invention;
FIG. 4a) is a schematic illustration showing a corresponding indicating space distribution of an indicator according to an embodiment of the present invention;
FIG. 4b) is a schematic illustration of a corresponding indicating spatial distribution of an indicator according to an embodiment of the present invention;
FIG. 4c) is a schematic illustration showing a corresponding indicating spatial distribution of an indicator according to an embodiment of the present invention;
FIG. 4d) is a schematic illustration of a corresponding indicating spatial distribution of an indicator according to an embodiment of the present invention;
FIG. 5a) is a schematic diagram of an embodiment of the present invention
Figure 282027DEST_PATH_IMAGE003
Generating a first schematic diagram of the change rate and the change scatter of the indicator;
FIG. 5b) is a schematic diagram of an embodiment of the present invention
Figure 864318DEST_PATH_IMAGE003
Generating a second schematic diagram of the change rate and the change scatter of the indicator;
FIG. 5c) is a schematic diagram of an embodiment of the present invention
Figure 55128DEST_PATH_IMAGE003
Generating a scatter plot schematic diagram III of the change rate along with the change of the indicator;
FIG. 5d) is a drawing provided by an embodiment of the present invention
Figure 748278DEST_PATH_IMAGE003
Generating a change scatter diagram of the change rate and the indicator;
FIG. 6 is a schematic diagram of an apparatus for determining an ozone generation sensitivity indicator according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a system for determining an ozone generation sensitivity indicator according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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 terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, article, or apparatus.
The following describes the technical solutions of the present invention and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
Ozone generation sensitivity is a nonlinear chemical and kinetic mechanism of action between a precursor and a product in a photochemical reaction system mainly composed of ozone and the precursor thereof, and the response rule of the product to the change of the concentration of the precursor or source emission. The control of photochemical smog pollution is mainly carried out by a way of controlling ozone precursor, so that the research on the sensitivity of ozone to the emission of the precursor is of great significance to the establishment of relevant control policies. However, prior art observation-based research methods use a large number of observation-based data sources for evaluation
Figure 13037DEST_PATH_IMAGE002
Discharging and
Figure 12567DEST_PATH_IMAGE001
the effect of emission reduction is realized by emission, and the effect that the concentration of ozone can reach the standard cannot be predicted
Figure 690673DEST_PATH_IMAGE002
Discharging and
Figure 187514DEST_PATH_IMAGE001
the specific reduction of emissions. Or using nested grid air quality prediction mode NAQPMS or other numerical modes, based on the study of source emission, using modification of emission list, e.g. reduction of ozone precursor in a specific proportion
Figure 837938DEST_PATH_IMAGE001
Figure 230873DEST_PATH_IMAGE002
Etc. to simulate the generation response of the ozone concentration to judge which substance is more easily controlled. However, the method consumes a great deal of computing resources and computing time for the calculation of the ozone generation sensitivity and the precursor control ratio, and has no wide usability and good timeliness.
Fig. 1 is a typical application scenario diagram of the present invention, as shown in fig. 1, detection is performed by an ozone generation sensitivity indicator determination system 11, so as to accurately determine a target indicator suitable for a to-be-detected ozone pollution site according to different actual pollution conditions of different to-be-detected ozone pollution sites, and further obtain a determination threshold of the target indicator, thereby further improving effectiveness and accuracy of the pollution site in ozone pollution treatment.
Fig. 2 is a flowchart of a method for determining an ozone generation sensitivity indicator according to an embodiment of the present invention, and as shown in fig. 2, the method for determining an ozone generation sensitivity indicator according to the embodiment may include:
s201, obtaining a reference space distribution map corresponding to the ozone pollution area to be detected, and simulating the space distribution map of the ozone concentration change of the ozone pollution area to be detected according to a preset emission pollution source test and a reference test by using the reference space distribution map.
Specifically, on the basis of the air quality numerical mode NAQPMS, a first spatial distribution map corresponding to the average ozone concentration change of the ozone pollution site to be detected is obtained through a benchmark test for detecting 100% emission of each pollution source, and the first spatial distribution map is respectively detected
Figure 848805DEST_PATH_IMAGE002
50% reduction of pollution source and passing detection
Figure 680495DEST_PATH_IMAGE001
In an optional implementation, a reference spatial distribution map is generated according to a variation difference value of the average ozone concentration in the first spatial distribution map and the average ozone concentration in the second spatial distribution map, and the reference spatial distribution map is used for displaying the variation of the average ozone concentration in the corresponding second spatial distribution map and the average ozone concentration in the first spatial distribution map. So as to obtain the corresponding target indicator of the ozone pollution to be detected by comparing with the reference space distribution diagram.
And S202, generating an indication space distribution map corresponding to each indicator according to the reference test, wherein the indication space distribution map is used for generating a space distribution map corresponding to the indicator concentration change based on the reference test.
Specifically, the indicator may comprise
Figure 185425DEST_PATH_IMAGE004
In the embodiment, the average concentration of each indicator in the benchmark test in the high-value period of the ozone pollution area to be detected is detected, so that the indication space distribution map corresponding to each group of indicators is generated. And then determining the corresponding target indicator of the ozone pollution to be detected through the indicating space distribution diagram and the reference space distribution diagram.
S203, determining a target indicator corresponding to the ozone pollution area to be detected according to the indication space distribution map and the reference space distribution map.
With reference to the above example, the present embodiment performs detection on the indication spatial distribution map and the reference spatial distribution map corresponding to each indicator, and if it is detected that there is a match between one indication spatial distribution map and the reference spatial distribution map (in an alternative embodiment, the match between the indication spatial distribution map and the reference spatial distribution map may be obtained by analyzing similarity or consistency of correspondence between image content, features, structures, relationships, textures, that is, gray levels, and the like), then the target indicator corresponding to the indication spatial distribution map is obtained. So that the treatment guidance of the ozone pollution to be detected can be carried out according to the target indicator.
According to the embodiment, the target indicator suitable for the ozone pollution place to be detected can be accurately determined according to different actual pollution conditions of different ozone pollution places to be detected, so that the judgment threshold value of the target indicator is obtained, and the effectiveness and the accuracy of the ozone pollution treatment of the pollution places are further improved.
In an alternative embodiment, after determining the corresponding target indicator to be tested for ozone contamination, further comprising: s204, determining a judgment threshold value of the target indicator and a transition region corresponding to the judgment threshold value according to the target indicator. With particular reference to FIG. 2, wherein the decision threshold is based on
Figure 14841DEST_PATH_IMAGE003
Is determined by generating a ratio of the rate of change to the indicator yield, wherein
Figure 870802DEST_PATH_IMAGE003
May comprise
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And
Figure 114887DEST_PATH_IMAGE008
. In an alternative embodiment of the method according to the invention,
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in relation to each indicator, e.g.
Figure 192882DEST_PATH_IMAGE007
Sensitivity and
Figure 631953DEST_PATH_IMAGE009
is concentration dependent or is
Figure 111476DEST_PATH_IMAGE007
Sensitivity and (A) to
Figure 531962DEST_PATH_IMAGE009
-
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)、
Figure 74119DEST_PATH_IMAGE010
/
Figure 408148DEST_PATH_IMAGE009
And
Figure 750268DEST_PATH_IMAGE011
/
Figure 54735DEST_PATH_IMAGE012
are related to, or are
Figure 773292DEST_PATH_IMAGE007
Sensitivity and
Figure 24145DEST_PATH_IMAGE001
and
Figure 802745DEST_PATH_IMAGE002
the present invention is mainly described in detail by taking the above-mentioned examples and other related examples as examples, and in an alternative embodiment, the target indicator and the target indicator are used
Figure 76732DEST_PATH_IMAGE003
Correlation relationships, e.g. according to
Figure 848247DEST_PATH_IMAGE003
The ratio of the change rate to the indicator yield is generated for determinationDetermining a judgment threshold, and further obtaining a judgment threshold of the target indicator and a transition region corresponding to the judgment threshold, specifically referring to the description of the subsequent embodiment. The embodiment also comprises a judgment threshold value for determining the target indicator after determining the target indicator corresponding to the ozone pollution area to be detected, and the judgment threshold value is based on
Figure 953607DEST_PATH_IMAGE003
(can represent
Figure 903108DEST_PATH_IMAGE007
+
Figure 664391DEST_PATH_IMAGE008
) The correlation with each indicator was obtained. Wherein the indicator may include:
Figure 724751DEST_PATH_IMAGE011
/
Figure 137146DEST_PATH_IMAGE012
Figure 54287DEST_PATH_IMAGE010
/
Figure 568445DEST_PATH_IMAGE008
Figure 166916DEST_PATH_IMAGE010
/
Figure 184551DEST_PATH_IMAGE009
Figure 990702DEST_PATH_IMAGE009
. Wherein
Figure 523314DEST_PATH_IMAGE002
Represents NO and
Figure 191056DEST_PATH_IMAGE008
Figure 797618DEST_PATH_IMAGE009
to represent
Figure 525402DEST_PATH_IMAGE002
Nitric acid, nitrate.
The target indicator suitable for the ozone pollution site to be detected is accurately determined according to the actual pollution conditions of different ozone pollution sites to be detected (such as xxx), for example,
Figure 18349DEST_PATH_IMAGE006
. To obtain a threshold value for the target indicator, e.g., when
Figure 20940DEST_PATH_IMAGE006
When less than A, ozone is generated
Figure 13166DEST_PATH_IMAGE001
Control, greater than B is
Figure 646273DEST_PATH_IMAGE002
Control in which the transition zone between A and B is
Figure 91161DEST_PATH_IMAGE002
And
Figure 897443DEST_PATH_IMAGE001
and jointly controlling, so that a transition area corresponding to the judgment threshold is A-B, and B is larger than A. Further improving the effectiveness and accuracy of the pollution land for ozone pollution treatment. In an alternative embodiment, a is 0.19 and B is 0.42.
With reference to the embodiment shown in fig. 2, obtaining a reference spatial distribution map corresponding to the area to be detected with ozone pollution can be further achieved by specifically obtaining a first spatial distribution map of the area to be detected with ozone pollution according to a benchmark test; generating a second spatial distribution map of the to-be-detected ozone-polluted site according to a preset emission pollution source test; and generating a reference spatial distribution map according to the first spatial distribution map and the second spatial distribution map.
In this embodiment, based on the air quality numerical mode NAQPMS, a first spatial distribution map corresponding to the ozone pollution area to be detected is obtained by a benchmark test for detecting 100% emission of each pollution source, a second spatial distribution map of the ozone pollution area to be detected is generated by respectively setting a pollution source test for reducing 50% emission and a pollution source test for reducing 50% emission, and then a spatial distribution map of average ozone concentration change in a high-value period of the ozone pollution area to be detected is respectively generated by the first spatial distribution map and the second spatial distribution map corresponding to each preset emission pollution source test, that is, a reference spatial distribution map is obtained. This embodiment reduces the discharge amount by only 50%
Figure 259023DEST_PATH_IMAGE002
Pollution source test and 50% reduction of emissions
Figure 797452DEST_PATH_IMAGE001
For example, the pollution source test generates a corresponding second spatial distribution diagram, and further generates a first reference spatial distribution diagram and a second reference spatial distribution diagram according to the corresponding second spatial distribution diagram, for example, see fig. 3a) and fig. 3b), and the depth in fig. 3a) and fig. 3b) represents the difference of the average ozone concentration difference. FIG. 3a) is a first schematic view of a reference spatial distribution corresponding to a predetermined emission pollution source test according to an embodiment of the present invention, wherein the predetermined emission pollution source test is reduced by 50%
Figure 995215DEST_PATH_IMAGE002
The emission source test of (1); FIG. 3b) is a schematic diagram of a reference spatial distribution corresponding to a preset emission pollution source test according to an embodiment of the present invention, wherein the preset emission pollution source test is reduced by 50%
Figure 542871DEST_PATH_IMAGE001
The emission source test of (1). However, this embodiment is not limited thereto.
In an alternative implementation, the reference spatial profile is generated based on a difference in the variation of the average ozone concentration in the first spatial profile and the average ozone concentration in the second spatial profile. With reference to the embodiment shown in fig. 2, determining the target indicator corresponding to the ozone pollution area to be detected according to the indication space distribution map and the reference space distribution map can be implemented by respectively matching each indication space distribution map with the reference space distribution map; and if the detection indication space distribution diagram is matched with the reference space distribution diagram, obtaining the target indicator corresponding to the indication space distribution diagram.
In this embodiment, the indication spatial distribution map is matched with the reference spatial distribution map, and if one indication spatial distribution map is matched with the reference spatial distribution map, the target indicator corresponding to the indication spatial distribution map is obtained. For example, refer to fig. 4a), 4b), 4c), 4d) to show the indication spatial distribution maps corresponding to different indicators, and fig. 4a) is a schematic view of the indication spatial distribution map corresponding to an indicator according to an embodiment of the present invention, wherein the indicator is
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/
Figure 265025DEST_PATH_IMAGE012
Figure 950084DEST_PATH_IMAGE006
For representing
Figure 98169DEST_PATH_IMAGE011
And
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the yield ratio of (a); FIG. 4b) is a schematic view of a corresponding indicating space distribution of an indicator according to an embodiment of the present invention, wherein the indicator is
Figure 330884DEST_PATH_IMAGE010
/
Figure 221349DEST_PATH_IMAGE008
,P(
Figure 110807DEST_PATH_IMAGE010
)/P(
Figure 848956DEST_PATH_IMAGE008
) For representing
Figure 165668DEST_PATH_IMAGE010
And
Figure 294161DEST_PATH_IMAGE008
the yield ratio of (a); FIG. 4c) is a schematic view showing a corresponding indicating space distribution of an indicator according to an embodiment of the present invention, wherein the indicator is
Figure 239508DEST_PATH_IMAGE010
/
Figure 832163DEST_PATH_IMAGE009
,P(
Figure 585355DEST_PATH_IMAGE010
)/P(
Figure 466724DEST_PATH_IMAGE009
) For representing
Figure 432406DEST_PATH_IMAGE010
And
Figure 332097DEST_PATH_IMAGE009
the yield ratio of (a); FIG. 4d) is a schematic view of a corresponding indicating space distribution of an indicator according to an embodiment of the present invention, wherein the indicator is
Figure 52929DEST_PATH_IMAGE009
, P(
Figure 421593DEST_PATH_IMAGE009
) For representing
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The yield value of (a). From the above-described fig. 4a) to 4d), it can be derived that fig. 4a) matches fig. 3a)Thus, the target indicator corresponding to FIG. 4a) can be obtained as
Figure 695897DEST_PATH_IMAGE011
/
Figure 40159DEST_PATH_IMAGE012
. Similarly, the indicated spatial profiles were obtained from baseline tests (i.e., 100% emissions source tests) using the above-described indicator yield ratios. In an alternative embodiment, the matching of the indication spatial distribution map and the reference spatial distribution map may be obtained by analyzing similarity or consistency of correspondence between image content, features, structures, relationships, textures, i.e. gray scales, and the like.
In an alternative embodiment, determining the decision threshold corresponding to the target indicator includes: obtaining according to a preset emission pollution source test
Figure 692858DEST_PATH_IMAGE003
Generating a scatter diagram of the corresponding relation between the change rate and each indicator; comparing scatter diagrams to obtain
Figure 265921DEST_PATH_IMAGE003
Generating a change scatter value of the rate of change with the indicator; and determining a judgment threshold value of the target indicator corresponding to the area to be detected with ozone pollution according to the change scatter value.
In the experiment of analyzing each preset emission pollution source in the embodiment
Figure 625359DEST_PATH_IMAGE003
And generating a corresponding relation between the change rate and each indicator, and determining a judgment threshold value of the target indicator corresponding to the area to be detected with ozone pollution. Specially tested according to predetermined sources of emissions, e.g. reduced by 50%
Figure 891255DEST_PATH_IMAGE002
Pollution source test and 50% reduction of emissions
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Pollution source test in which preset discharge amount of pollution source is obtained
Figure 657271DEST_PATH_IMAGE003
The generation change rate of (2) is specifically realized by the following formula I.
Figure 871215DEST_PATH_IMAGE013
Formula one
Figure 308013DEST_PATH_IMAGE014
And
Figure 669724DEST_PATH_IMAGE015
respectively representing the preset emission pollution source test and the benchmark test
Figure 584590DEST_PATH_IMAGE003
The concentration of (c). And can further obtain
Figure 430537DEST_PATH_IMAGE003
A scatter plot of the change rate versus the indicator is generated (in an alternative embodiment, the yield ratio in each indicator is plotted on the abscissa,
Figure 772656DEST_PATH_IMAGE003
generating a scatter plot with the rate of change as the ordinate); by analytically comparing these scatter plots, a scatter plot is obtained
Figure 621664DEST_PATH_IMAGE003
And generating a change scatter value of which the change rate is changed along with the indicator, and determining a judgment threshold value of the ozone pollution source to be detected corresponding to the target indicator according to the change scatter value. For example, refer to fig. 5a), fig. 5b), fig. 5c), fig. 5d), fig. 5a) is provided for an embodiment of the present invention
Figure 340221DEST_PATH_IMAGE003
Generating a rate of change and indicationFIG. 5b) is a schematic view of the variation of the first agent
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Generating a second schematic diagram of the change scatter of the rate of change and indicator, FIG. 5c) providing a second schematic diagram of the change scatter of the indicator
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Generating a scatter plot of the change rate with indicator III, FIG. 5d) is provided for an embodiment of the present invention
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And generating a change scatter diagram of the change rate and the indicator.
As can be seen from FIG. 5a), the reduction is 50%
Figure 415176DEST_PATH_IMAGE001
In the tests, it was determined that,
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rate of change of formation with
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The ratio is increased by increasing, i.e. gradually increasing from the initial negative percentage in reference to fig. 5a), and
Figure 418270DEST_PATH_IMAGE001
the degree of control becomes gradually weaker and becomes subject
Figure 540947DEST_PATH_IMAGE002
Controlling; but is reduced by 50 percent
Figure 704075DEST_PATH_IMAGE002
In the tests, it was determined that,
Figure 558899DEST_PATH_IMAGE003
rate of change of formation with
Figure 73057DEST_PATH_IMAGE006
The ratio increases and decreases, in particular with reference to fig. 5a), from an initial positive percentage to a negative percentage. This illustrates
Figure 186375DEST_PATH_IMAGE006
Has good correlation with the generation of ozone. In addition, referring to fig. 5b), fig. 5c),
Figure 747DEST_PATH_IMAGE010
/
Figure 557630DEST_PATH_IMAGE008
and
Figure 27926DEST_PATH_IMAGE010
/
Figure 430089DEST_PATH_IMAGE009
also have the following effects
Figure 364546DEST_PATH_IMAGE006
Similar trend, but the correlation is not significant, and it cannot be directly judged
Figure 344528DEST_PATH_IMAGE001
And
Figure 302120DEST_PATH_IMAGE002
the threshold of the control zone. See, for example, FIG. 5d)
Figure 507973DEST_PATH_IMAGE009
And
Figure 296938DEST_PATH_IMAGE003
the correlation of the rate of change of the generation is very weak. Thus from P: (
Figure 930045DEST_PATH_IMAGE003
) Rate of change and
Figure 624200DEST_PATH_IMAGE006
can calculate the correlation
Figure 633744DEST_PATH_IMAGE006
The judgment threshold value of (1). In an alternative embodiment, referring to FIG. 5a), the reduction is 50%
Figure 480478DEST_PATH_IMAGE001
The test sum is reduced by 50 percent
Figure 346802DEST_PATH_IMAGE002
In the tests, it was determined that,
Figure 278986DEST_PATH_IMAGE003
followed by
Figure 75910DEST_PATH_IMAGE006
The ratio is in a linear change trend, and then a change scatter point value of the change trend turning of the scatter diagram can be obtained to obtain a judgment threshold corresponding to the target indicator, so as to determine the judgment threshold corresponding to the target indicator of the ozone pollution to be detected, and in an alternative embodiment, the judgment threshold may include 0.19 and 0.42.
In an alternative embodiment, after determining the judgment threshold of the target indicator, the method further comprises: and obtaining a scatter value corresponding to the target indicator in the same group of preset emission pollution source tests, and if the difference between the scatter value corresponding to the target indicator in the first preset emission pollution source test in the same group of preset emission pollution source tests and the scatter value corresponding to the target indicator in the second preset emission pollution source test in the same group of preset emission pollution source tests meets a preset threshold range, determining a transition region corresponding to the judgment threshold.
E.g. by 50%
Figure 42729DEST_PATH_IMAGE002
Tested and reduced by 50%
Figure 814376DEST_PATH_IMAGE001
The test is the same group of preset emission pollution source tests, and P (in) of the two preset emission pollution source tests relative to a reference test is set
Figure 499435DEST_PATH_IMAGE003
) The transition zone is the change rate less than 10% (namely the preset threshold range). For example, when
Figure 850782DEST_PATH_IMAGE006
Equal to 0.2, reduced by 50%
Figure 655796DEST_PATH_IMAGE002
Test average P: (
Figure 801606DEST_PATH_IMAGE003
) The change rate is-35 percent and is reduced by 50 percent
Figure 505120DEST_PATH_IMAGE001
Test average P: (
Figure 660158DEST_PATH_IMAGE003
) The rate of change is-36%, and the difference is 1%, then
Figure 70411DEST_PATH_IMAGE006
Equal to 0.2 belongs to the transition zone and so on. Thus, the decision thresholds for the two transition regions of 0.19 and 0.42 (see FIG. 5a) can be obtained when
Figure 899040DEST_PATH_IMAGE006
When the ozone concentration is less than 0.19, ozone is generated
Figure 293112DEST_PATH_IMAGE001
Control, greater than 0.42 is
Figure 782999DEST_PATH_IMAGE002
Control, the transition zone between 0.19 and 0.42 is influenced
Figure 578917DEST_PATH_IMAGE002
And
Figure 66530DEST_PATH_IMAGE001
jointly controlling to obtain a transition region corresponding to the judgment threshold value。
In this embodiment, the target indicator suitable for the place to be detected with ozone pollution is accurately determined according to the actual pollution conditions of different places to be detected with ozone pollution, such as
Figure 931587DEST_PATH_IMAGE006
And then obtaining a judgment threshold value of the target indicator, for example, when
Figure 225165DEST_PATH_IMAGE006
When the ozone concentration is less than 0.19, ozone is generated
Figure 875589DEST_PATH_IMAGE001
Controlled to be greater than 0.42, and the transition region between 0.19 and 0.42 is controlled
Figure 534103DEST_PATH_IMAGE002
And
Figure 902768DEST_PATH_IMAGE001
and (4) controlling together. Further improving the effectiveness and accuracy of the pollution land for ozone pollution treatment.
In an alternative embodiment, after determining the judgment threshold of the target indicator, the method further comprises: and obtaining pollution source treatment guidance conditions corresponding to the ozone pollution area to be detected according to the judgment threshold value.
For example, in connection with the above examples, when
Figure 734457DEST_PATH_IMAGE006
When the ozone concentration is less than 0.19, ozone is generated
Figure 488656DEST_PATH_IMAGE001
Control, greater than 0.42 is
Figure 318071DEST_PATH_IMAGE002
Control, intermediate transition zone being subject to
Figure 908453DEST_PATH_IMAGE002
And
Figure 747096DEST_PATH_IMAGE001
and (4) controlling together. Namely, accurate and effective pollution treatment guidance can be realized through the judgment threshold value of the target indicator, and then controllable treatment of ozone pollution and the like can be realized.
In an alternative embodiment, the indicator comprises at least one of the following groups
Figure 168850DEST_PATH_IMAGE011
/
Figure 684014DEST_PATH_IMAGE012
Figure 496112DEST_PATH_IMAGE010
/
Figure 872867DEST_PATH_IMAGE008
Figure 149127DEST_PATH_IMAGE010
/
Figure 585925DEST_PATH_IMAGE009
Figure 137516DEST_PATH_IMAGE009
Wherein the indicator refers to an ozone generation sensitive indicator. Based on the large number of studies of formation sensitive indicators available in the recent past, table 1 summarizes several of the indicators described above, see table 1 in particular.
TABLE 1
Figure 317962DEST_PATH_IMAGE016
aSielman suggests 0.35 as a decision threshold, while Tonnesen and Dennis suggest
Figure 714308DEST_PATH_IMAGE006
Ratio of<0.06、0.06-0.2、>0.2 respectively as
Figure 322007DEST_PATH_IMAGE001
Control zone, transition zone and
Figure 843118DEST_PATH_IMAGE002
the threshold of the control zone.
bSillman suggests 0.28 as a decision threshold, while Lu and Chang (1998) considers 0.5-0.9 as a decision threshold.
According to the analysis of the mechanism of photochemical reaction, when
Figure 76522DEST_PATH_IMAGE002
In excess, free radicals (
Figure 327375DEST_PATH_IMAGE017
) The termination reaction of (a) is:
Figure 105975DEST_PATH_IMAGE018
at this time
Figure 379962DEST_PATH_IMAGE007
The rate of generation is governed by the rate of generation of free radicals,
Figure 636631DEST_PATH_IMAGE007
generating a recipient
Figure 194520DEST_PATH_IMAGE001
Control, therefore, of
Figure 940759DEST_PATH_IMAGE012
Can be used as
Figure 967621DEST_PATH_IMAGE001
A controlled indicator. When in use
Figure 762402DEST_PATH_IMAGE002
When the degree of vacancy is low, the reaction between free radicals controls
Figure 191109DEST_PATH_IMAGE017
Removing:
Figure 560779DEST_PATH_IMAGE019
Figure 606096DEST_PATH_IMAGE020
at this time
Figure 470146DEST_PATH_IMAGE007
The generation rate is subject to
Figure 487781DEST_PATH_IMAGE021
And
Figure 779085DEST_PATH_IMAGE022
the concentration level of the NO reacted is limited by
Figure 311698DEST_PATH_IMAGE002
And (5) controlling. Thus the yield of ROOH and HOOH can be used
Figure 225777DEST_PATH_IMAGE002
An indication of control. Sillman (1995) suggested use
Figure 363497DEST_PATH_IMAGE011
And
Figure 560124DEST_PATH_IMAGE012
as a ratio of the yield of
Figure 783294DEST_PATH_IMAGE007
Generating a recipient
Figure 51465DEST_PATH_IMAGE002
Control or
Figure 292959DEST_PATH_IMAGE001
Control judgment threshold:
Figure 660487DEST_PATH_IMAGE023
in the formula:
Figure 370954DEST_PATH_IMAGE024
and
Figure 177236DEST_PATH_IMAGE025
are respectively
Figure 23969DEST_PATH_IMAGE011
And
Figure 77244DEST_PATH_IMAGE012
the yield of (a). I.e. the ratio
Figure 9428DEST_PATH_IMAGE006
In excess of 0.35 of the total weight of the composition,
Figure 619401DEST_PATH_IMAGE007
generating a recipient
Figure 320641DEST_PATH_IMAGE002
Controlling; the ratio is less than 0.35, and the ratio is less than 0.35,
Figure 295550DEST_PATH_IMAGE007
to be received
Figure 964298DEST_PATH_IMAGE001
And (5) controlling.
(Tonnesen and Dennis, 2000a) showed that HCHO @
Figure 112382DEST_PATH_IMAGE008
As an indicator of the sensitivity of ozone generation, it is considered that when the ratio is more than 1, ozone generation is affected
Figure 933708DEST_PATH_IMAGE002
Controlling the ozone generation when the ratio is less than 1
Figure 79518DEST_PATH_IMAGE001
And (5) controlling. (Witte et al, 2011) study of the Beijing Olympic Games period HCHO/
Figure 986295DEST_PATH_IMAGE008
Is considered to be HCHO
Figure 393530DEST_PATH_IMAGE008
Can be used as indicator for judging ozone generation sensitivity.
(Milford et al, 1994) et al use regional air quality models to demonstrate
Figure 69362DEST_PATH_IMAGE007
Sensitivity and afternoon
Figure 448390DEST_PATH_IMAGE009
The concentration of the water is correlated with the concentration of the water,
Figure 842463DEST_PATH_IMAGE009
can be used as
Figure 270033DEST_PATH_IMAGE007
Producing a sensitive indicator. (Sillman, 1995) further developed the sense of the indicator species, suggesting a ratio of 3
Figure 315218DEST_PATH_IMAGE007
/(
Figure 599569DEST_PATH_IMAGE026
)、HCHO/
Figure 215358DEST_PATH_IMAGE027
And
Figure 712198DEST_PATH_IMAGE011
/
Figure 362623DEST_PATH_IMAGE012
can also be used as
Figure 83454DEST_PATH_IMAGE007
Producing a sensitive indicator. The result of the model shows that
Figure 435807DEST_PATH_IMAGE002
A control area, the ratio being relatively large; in addition, the
Figure 205180DEST_PATH_IMAGE001
A control region, the ratio being small; in the region of the transition zone,
Figure 975690DEST_PATH_IMAGE007
/(
Figure 70685DEST_PATH_IMAGE026
)=8~10、HCHO/
Figure 457804DEST_PATH_IMAGE027
=0.2 ~ 0.39 and
Figure 545714DEST_PATH_IMAGE011
/
Figure 905151DEST_PATH_IMAGE012
=0.25~0.6。
however, the existing indicator and the corresponding judgment threshold thereof cannot flexibly adapt to the treatment of ozone pollution conditions in different regions, different seasons and other time periods in the same region.
According to the embodiment, the target indicator suitable for the ozone pollution place to be detected is accurately determined according to different actual pollution conditions of the ozone pollution place to be detected, so that the judgment threshold value of the target indicator is obtained, and the effectiveness and the accuracy of the ozone pollution treatment of the pollution place are further improved.
Fig. 6 is a schematic structural diagram of an apparatus for determining an ozone generation sensitivity indicator according to an embodiment of the present invention, and as shown in fig. 6, the apparatus for determining an ozone generation sensitivity indicator according to the embodiment may include:
the acquisition module 31 is configured to acquire a reference spatial distribution map corresponding to the ozone pollution site to be detected, where the reference spatial distribution map simulates a spatial distribution map of ozone concentration change of the ozone pollution site to be detected according to a preset emission pollution source test and a reference test;
a generating module 32, configured to generate an indication spatial distribution map corresponding to each indicator according to the benchmark test;
and the determining module 33 is configured to determine the target indicator corresponding to the ozone pollution area to be detected according to the indication spatial distribution map and the reference spatial distribution map.
In an alternative embodiment, referring to fig. 6, further comprising: a obtaining module 34, configured to determine a judgment threshold of the target indicator and a transition region corresponding to the judgment threshold according to the target indicator, where the judgment threshold is determined according to
Figure 171048DEST_PATH_IMAGE003
The ratio of the rate of change to the indicator yield was generated for the determination.
In an alternative embodiment, the obtaining module 31 is specifically configured to:
according to a reference test, obtaining a first spatial distribution map of a to-be-detected ozone polluted area;
generating a second spatial distribution map of the to-be-detected ozone-polluted site according to a preset emission pollution source test;
and generating a reference spatial distribution map according to the first spatial distribution map and the second spatial distribution map.
In an alternative embodiment, the determining module 33 is specifically configured to:
matching each indication space distribution map with a reference space distribution map respectively;
and if the detection indication space distribution diagram is matched with the reference space distribution diagram, obtaining the target indicator corresponding to the indication space distribution diagram.
In an alternative embodiment, determining the decision threshold for the target indicator comprises:
obtaining according to a preset emission pollution source test
Figure 45463DEST_PATH_IMAGE003
Generating a scatter diagram of the corresponding relation between the change rate and each indicator;
comparing scatter diagrams to obtain
Figure 422217DEST_PATH_IMAGE003
Generating a change scatter value of the rate of change with the indicator;
and determining a judgment threshold value of the target indicator corresponding to the area to be detected with ozone pollution according to the change scatter value.
In an alternative embodiment, after determining the judgment threshold of the target indicator, the method further comprises:
obtaining a scatter value corresponding to a target indicator in the same group of preset emission pollution source tests,
and if the difference between the scatter value corresponding to the target indicator in the first preset emission pollution source test in the same group of preset emission pollution source tests and the scatter value corresponding to the target indicator in the second preset emission pollution source test in the same group of preset emission pollution source tests meets a preset threshold range, determining a transition area corresponding to the judgment threshold.
In an alternative embodiment, after determining the judgment threshold of the target indicator, the method further comprises:
and obtaining pollution source treatment guidance conditions corresponding to the ozone pollution area to be detected according to the judgment threshold value.
In an alternative embodiment, the indicator comprises at least one of:
Figure 171516DEST_PATH_IMAGE011
/
Figure 342734DEST_PATH_IMAGE012
Figure 907708DEST_PATH_IMAGE010
/
Figure 884891DEST_PATH_IMAGE008
Figure 218920DEST_PATH_IMAGE010
/
Figure 810307DEST_PATH_IMAGE009
Figure 862577DEST_PATH_IMAGE009
the device for determining the ozone generation sensitivity indicator in this embodiment can implement the technical scheme in the method shown in fig. 2, and the specific implementation process and technical principle thereof are described in relation to the method shown in fig. 2, and are not described herein again.
Fig. 7 is a schematic structural diagram of a system for determining an ozone generation sensitivity indicator according to an embodiment of the present invention, and as shown in fig. 7, a system 40 for determining an ozone generation sensitivity indicator according to this embodiment may include: a processor 41 and a memory 42.
A memory 42 for storing computer programs (such as application programs, functional modules, etc. that implement the above-described method of determining an ozone generation sensitivity indicator), computer instructions, etc.;
the computer programs, computer instructions, etc. described above may be stored in one or more memories 42 in partitions. And the above-mentioned computer program, computer instructions, data, etc. can be called by the processor 41.
A processor 41 for executing the computer program stored in the memory 42 to implement the steps of the method according to the above embodiments.
Reference may be made in particular to the description relating to the preceding method embodiment.
The processor 41 and the memory 42 may be separate structures or may be integrated structures integrated together. When the processor 41 and the memory 42 are separate structures, the memory 42 and the processor 41 may be coupled by a bus 43.
The server in this embodiment may execute the technical solution in the method shown in fig. 2, and for the specific implementation process and the technical principle, reference is made to the relevant description in the method shown in fig. 2, which is not described herein again.
In addition, an embodiment of the present application further provides a computer-readable storage medium, in which computer-executable instructions are stored, and when at least one processor of the user equipment executes the computer-executable instructions, the user equipment performs the above possibilities.
Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the embodiments described above may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs the steps comprising the above embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. A method of determining an ozone-generating susceptibility indicator, comprising:
acquiring a reference space distribution map corresponding to an ozone pollution place to be detected, wherein the reference space distribution map simulates the space distribution map of the ozone concentration change of the ozone pollution place to be detected according to a preset emission pollution source test and a benchmark test, and the benchmark test comprises the step of detecting each pollutionTesting the source 100% emissions, said predetermined emissions test comprising separately passing the test
Figure 155709DEST_PATH_IMAGE002
50% reduction of pollution source and passing detection
Figure 212527DEST_PATH_IMAGE004
Testing for reducing 50% of emission of pollution sources;
generating an indication space distribution map corresponding to each group of indicators by detecting the average concentration of each indicator in the benchmark test in a high-value time period of the ozone pollution source to be detected;
determining a target indicator corresponding to the ozone pollution area to be detected according to the indication space distribution map and the reference space distribution map;
wherein, according to the indication space distribution diagram and the reference space distribution diagram, determining the target indicator corresponding to the ozone pollution area to be detected comprises:
matching each indicated spatial distribution map with the reference spatial distribution map respectively;
and if the indication space distribution diagram is matched with the reference space distribution diagram, obtaining the target indicator corresponding to the indication space distribution diagram.
2. The method of claim 1, further comprising, after determining the corresponding target indicator to be tested for ozone contamination:
determining a judgment threshold value of the target indicator and a transition region corresponding to the judgment threshold value according to the target indicator, wherein the judgment threshold value is determined according to the target indicator
Figure 25762DEST_PATH_IMAGE006
The ratio of the rate of change to the indicator yield was generated for the determination.
3. The method of claim 1, wherein obtaining a corresponding reference spatial profile of the site to be tested for ozone contamination comprises:
according to the benchmark test, obtaining a first space distribution map of the to-be-detected ozone polluted area;
generating a second spatial distribution map of the to-be-detected ozone-polluted site according to the preset emission pollution source test;
and generating the reference spatial distribution map according to the first spatial distribution map and the second spatial distribution map.
4. The method of any one of claims 1-3, wherein determining the decision threshold for the target indicator comprises:
obtaining the emission according to the preset emission pollution source test
Figure DEST_PATH_IMAGE007
Generating a scatter diagram of the corresponding relation between the change rate and each indicator;
comparing the scatter diagram to obtain the
Figure 87521DEST_PATH_IMAGE006
Generating a change scatter value of the rate of change with the indicator;
and determining a judgment threshold value of the target indicator corresponding to the area to be detected with ozone pollution according to the change scatter value.
5. The method of claim 4, further comprising, after determining the decision threshold for the target indicator:
obtaining a scatter value corresponding to the target indicator in the same group of preset emission pollution source tests,
and if the difference between the scatter value corresponding to the target indicator in the first preset emission pollution source test in the same group of preset emission pollution source tests and the scatter value corresponding to the target indicator in the second preset emission pollution source test in the same group of preset emission pollution source tests meets a preset threshold range, determining a transition area corresponding to the judgment threshold.
6. The method of claim 4, further comprising, after determining the decision threshold for the target indicator:
and obtaining pollution source treatment guidance conditions corresponding to the to-be-detected ozone pollution area according to the judgment threshold value.
7. The method of claim 1, wherein the indicator comprises at least one of:
Figure DEST_PATH_IMAGE009
/
Figure DEST_PATH_IMAGE011
Figure DEST_PATH_IMAGE013
/
Figure DEST_PATH_IMAGE015
Figure 514960DEST_PATH_IMAGE016
/
Figure 292030DEST_PATH_IMAGE018
Figure DEST_PATH_IMAGE020
8. the method of claim 1, wherein the ozone generation sensitivity indicator is
Figure 236852DEST_PATH_IMAGE022
/
Figure 120495DEST_PATH_IMAGE024
A judgment threshold value of the ozone generation sensitivity indicator
Figure 594201DEST_PATH_IMAGE026
0.19 and 0.42, the transition region corresponding to the judgment threshold value
Figure 563294DEST_PATH_IMAGE026
0.19 to 0.42, when
Figure DEST_PATH_IMAGE027
When the ozone concentration is less than 0.19, ozone is generated
Figure DEST_PATH_IMAGE029
Control when
Figure 78851DEST_PATH_IMAGE027
Greater than 0.42, ozone generation is affected
Figure DEST_PATH_IMAGE031
Control when
Figure 613738DEST_PATH_IMAGE027
0.19-0.42, ozone generation is received
Figure 992767DEST_PATH_IMAGE031
And
Figure DEST_PATH_IMAGE033
and (4) controlling together.
9. An apparatus for determining an ozone-generating susceptibility indicator, comprising:
the acquisition module is used for acquiring a reference space distribution map corresponding to the ozone pollution area to be detected, the reference space distribution map simulates the space distribution map of the ozone concentration change of the ozone pollution area to be detected according to a preset emission pollution source test and a benchmark test, wherein the benchmark test comprises the step of detecting each pollution areaTesting the 100% emission of the dye source, wherein the preset emission test comprises respectively passing detection
Figure DEST_PATH_IMAGE035
50% reduction of pollution source and passing detection
Figure DEST_PATH_IMAGE037
Testing for reducing 50% of emission of pollution sources;
the generation module is used for generating an indication space distribution map corresponding to each group of indicators by detecting the average concentration of each indicator in the benchmark test in the high-value time period of the ozone pollution source to be detected;
the determining module is used for determining the target indicator corresponding to the ozone pollution area to be detected according to the indicating space distribution map and the reference space distribution map;
wherein, according to the indication space distribution diagram and the reference space distribution diagram, determining the target indicator corresponding to the ozone pollution area to be detected comprises:
matching each indicated spatial distribution map with the reference spatial distribution map respectively;
and if the indication space distribution diagram is matched with the reference space distribution diagram, obtaining the target indicator corresponding to the indication space distribution diagram.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108108836A (en) * 2017-12-15 2018-06-01 清华大学 A kind of ozone concentration distribution forecasting method and system based on space-time deep learning
CN109799549A (en) * 2019-04-01 2019-05-24 中国气象局沈阳大气环境研究所 Gaseous pollutant concentration column conversion method and device
CN110057983A (en) * 2019-05-20 2019-07-26 华北电力大学 A kind of ozone origin analysis method based on observation data and chemical mechanism

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108108836A (en) * 2017-12-15 2018-06-01 清华大学 A kind of ozone concentration distribution forecasting method and system based on space-time deep learning
CN109799549A (en) * 2019-04-01 2019-05-24 中国气象局沈阳大气环境研究所 Gaseous pollutant concentration column conversion method and device
CN110057983A (en) * 2019-05-20 2019-07-26 华北电力大学 A kind of ozone origin analysis method based on observation data and chemical mechanism

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Attributing ozone to NOx emissions: Implications for climate mitigation measures;Grewe Volker等;《ATMOSPHERIC ENVIRONMENT》;20121130;第1-5页 *
Evaluating a Space-Based Indicator of Surface Ozone-NO x-VOC Sensitivity Over Midlatitude Source Regions and Application to Decadal Trends;Yu Dan等;《Journal of Geophysical Research Atmospheres》;20171016;第122卷(第19期);第2-5页 *

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