CN109799549A - Gaseous pollutant concentration column conversion method and device - Google Patents
Gaseous pollutant concentration column conversion method and device Download PDFInfo
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Abstract
The present invention relates to a kind of gaseous pollutant concentration column conversion method and devices, belong to environmental pollution monitoring technology neck field, this method obtains the four-dimensional Grid data forecast result of physical quantity by model predictions, in four-dimensional Grid data forecast result, screen default gaseous pollutant concentration four-dimension lattice point forecast result, according to default gaseous pollutant concentration four-dimension lattice point forecast result, it is handled by weather mapping system, it obtains default layer and presets gaseous pollutant concentration text file, using layer-by-layer text file as input field, according to summation method, conversion of the carry out mode layer data to column concentration, obtain Tropospheric ozone concentration column concentration.Pass through conversion, mode layer ozone concentration can be converted to Tropospheric ozone column concentration, so that ozone concentration is reduced to three-dimensional from the four-dimension, the physical significance of concentration of ozone column is further clarified, the forecast efficiency for improving Tropospheric ozone concentration in atmospheric chemistry model improves the application effect of environmental protection, Meteorological Field scientific research and service unit.
Description
Technical field
The invention belongs to environmental pollution monitoring technical fields, and in particular to a kind of gaseous pollutant concentration column conversion method and
Device.
Background technique
Relative to stratospheric ozone (" good ozone "), troposphere (" bad ozone ") can form acid rain and photochemical fog,
It is to be only second to CO2And CH4Greenhouse gases and one of be directly detrimental to health with the Air Pollutants of ecological environment.Cause
This, fully understanding and studying Tropospheric ozone is the necessary ways for solving atmosphere pollution pollution.And troposphere is as directly and people
Class is lived closely bound up atmosphere, and concentration of ozone column is the reflection most direct physical quantity of Tropospheric ozone changes in distribution.
Currently, the ozone concentration that atmospheric chemistry model forecast/simulation generates is the volumetric mixture ratio of each mode layer, it can not
Obtain Tropospheric ozone column concentration.
Summary of the invention
In order to solve the problems, such as it is of the existing technology be unable to get Tropospheric ozone column concentration, the present invention provides one kind
Gaseous pollutant concentration column conversion method and device have the characteristics that Tropospheric ozone column concentration can be obtained.
Technical solution provided by the present invention is as follows:
On the one hand, a kind of gaseous pollutant concentration column conversion method, the described method comprises the following steps:
The four-dimensional Grid data forecast result of physical quantity is obtained by model predictions, the Grid data forecast result is
NetCDF format;
In the four-dimensional Grid data forecast result, default gaseous pollutant concentration four-dimension lattice point forecast result is screened;
According to the default gaseous pollutant concentration four-dimension lattice point forecast result, is handled, obtained by weather mapping system
Default layer presets gaseous pollutant concentration text file;
It is dense to troposphere column to be subjected to mode layer data according to summation method as input field for the layer-by-layer text file
The conversion of degree.
Still optionally further, the data dimension of the default gaseous pollutant concentration four-dimension lattice point forecast result are as follows:
Longitudinal 187* latitude direction 72, times 248 when in 90 layers of vertical direction, 1 month.
Still optionally further, the Grid data forecast result of the NetCDF format, comprising: characteristic, surface pressure
With mode layer ozone mixing ratio.
Still optionally further, before carrying out mode layer data and being converted to column concentration, further includes: carry out filter cloud processing.
Still optionally further, the filter cloud processing includes: to utilize the dense to ozone by 3 hours total amount of cloud results of pattern simulation
The pattern simulation result of degree carries out 30% filter cloud processing.
Still optionally further, the summation conversion method, comprising:
According to volumetric mixture ratio and two neighboring mode face draught head, the sum of each mode face concentration of ozone column is calculated;
Tropospheric ozone column concentration is calculated according to the sum of each mode face concentration of ozone column.
Another aspect, a kind of gaseous pollutant concentration column conversion equipment characterized by comprising model predictions, meteorology are drawn
Drawing system calculates conversion equipment;
The model predictions, for exporting the four-dimensional Grid data forecast result of physical quantity, the Grid data forecast knot
Fruit is NetCDF format, is also used to screen default gaseous pollutant concentration four-dimension lattice point forecast result;
The meteorological plotting device is exported for handling the default gaseous pollutant concentration four-dimension lattice point forecast result
Default layer presets gaseous pollutant concentration text file;
The calculating conversion equipment, the successively text file for receiving input carry out mode according to summation method
Conversion of the layer data to column concentration obtains Tropospheric ozone concentration column concentration.
Still optionally further, the calculation processing conversion equipment is also used to filter cloud processing.
Still optionally further, the calculation processing apparatus device, is specifically used for: using pattern simulation by 3 hours total clouds
The filter cloud that result carries out 30% to the pattern simulation result of ozone concentration is measured to handle.
Still optionally further, the calculation processing apparatus, is specifically also used to:
According to volumetric mixture ratio and two neighboring mode face draught head, the sum of each mode face concentration of ozone column is calculated;
Tropospheric ozone column concentration is calculated according to the sum of each mode face concentration of ozone column.
A kind of gaseous pollutant concentration column conversion method provided in an embodiment of the present invention and device, are obtained by model predictions
The four-dimensional Grid data forecast result of physical quantity screens default gaseous pollutant concentration in four-dimensional Grid data forecast result
Four-dimensional lattice point forecast result is handled according to default gaseous pollutant concentration four-dimension lattice point forecast result by weather mapping system,
It obtains default layer and presets gaseous pollutant concentration text file, regard layer-by-layer text file as input field, according to the method for summation, into
Conversion of the row mode layer data to column concentration obtains Tropospheric ozone concentration column concentration.It can be by conversion, by mode layer ozone
Concentration is converted to Tropospheric ozone column concentration, so that ozone concentration is reduced to three-dimensional from the four-dimension, it is dense to have further clarified ozone column
The physical significance of degree improves the forecast efficiency of Tropospheric ozone concentration in atmospheric chemistry model, improves environmental protection, Meteorological Field
The application effect of scientific research and service unit.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of gaseous pollutant concentration column conversion method flow chart provided in an embodiment of the present invention;
Fig. 2 is that in January, 2010 China's zone convection layer ozone column after embodiment concentration column provided by the invention conversion is dense
Spend distribution schematic diagram;
Fig. 3 is the regional troposphere of -2012 years summers in 2010 after embodiment concentration column provided by the invention conversion
Ozone concentration column is evenly distributed schematic diagram;
Fig. 4 is a kind of gaseous pollutant concentration column conversion device structure schematic diagram provided in an embodiment of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, technical solution of the present invention will be carried out below
Detailed description.Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art are obtained all without making creative work
Other embodiment belongs to the range that the present invention is protected.
In order to clearly illustrate that the process and advantage of the present embodiment inventive method, the present invention provide a kind of gaseous contamination
Object concentration column conversion method, the method for the embodiment of the present invention include:
The four-dimensional Grid data forecast result of physical quantity is obtained by model predictions, Grid data forecast result is NetCDF
Format (network Common Data Form, network universal data format);
In four-dimensional Grid data forecast result, default gaseous pollutant concentration four-dimension lattice point forecast result is screened;
According to default gaseous pollutant concentration four-dimension lattice point forecast result, is handled, preset by weather mapping system
The default gaseous pollutant concentration text file of layer;
Conversion of the mode layer data to column concentration is carried out, is obtained according to summation method using layer-by-layer text file as input field
To Tropospheric ozone concentration column concentration.
A kind of gaseous pollutant concentration column conversion method provided in this embodiment, can be by conversion, by mode layer ozone
Concentration is converted to Tropospheric ozone column concentration, so that ozone concentration is reduced to three-dimensional from the four-dimension, it is dense to have further clarified ozone column
The physical significance of degree improves the forecast efficiency of Tropospheric ozone concentration in atmospheric chemistry model, improves environmental protection, Meteorological Field
The application effect of scientific research and service unit.
Based on a kind of above-mentioned gaseous pollutant concentration column conversion method, the embodiment of the present invention provides an alternative embodiment: Fig. 1
For a kind of gaseous pollutant concentration column conversion method flow chart provided in an embodiment of the present invention.Referring to Fig. 1, the gaseous state of the present embodiment
Concentration pollutant concentration column conversion method may comprise steps of:
S11, the four-dimensional Grid data forecast result that physical quantity is obtained by model predictions, Grid data forecast result are
NetCDF format.
The forecast knot that model predictions acquisition weather physical quantity information is generallyd use in weather monitoring forecast is carried out in weather station
Fruit, for example, physical quantity information includes temperature forecast result, humidity forecast result, gaseous pollutant forecast result etc..In this implementation
In example, is classified according to the lattice point of used model predictions, obtain the four-dimensional Grid data forecast result of each physical quantity.This implementation
The Grid data forecast result of example model predictions output is NetCDF format.
It is worth noting that in the present embodiment, the gaseous pollutant concentration that atmospheric chemistry model forecast/simulation generates is
The volumetric mixture ratio of each mode layer.In model predictions, it is equipped with network lattice point, physical quantity is divided into longitude, latitude, the number of plies
Upper different Grid data.
Further, the Grid data forecast result of NetCDF format, including characteristic, surface pressure and mode layer are smelly
Oxygen mixing ratio.For example, in the present embodiment, the acquisition modes of the Grid data forecast result of NetCDF format, comprising:
Tibet1_201001_msn_cloudopt01.NetCDF is (for extracting characteristic hyam and hybm, Yi Jizong
Cloud amount clcv), tibet1_201001_msn_ECHAM5.NetCDF (for extracting surface pressure aps), tibet1_201001_
Msn_tr_Ox_HOx.NetCDF (for extracting mode layer ozone mixing ratio).
S12, in four-dimensional Grid data forecast result, screen default gaseous pollutant concentration four-dimension lattice point forecast result.
In recent years, with the quickening of urbanization and process of industrialization, the air pollution of China each department is serious, haze weather frequency
Hair, in order to realize forecast and the early warning to air quality and haze weather, model predictions have obtained further use.
In the present embodiment, in order to obtain default gaseous pollutant concentration four-dimension lattice point forecast result, in model predictions institute
It is screened in the four-dimensional lattice point forecast result of output.For example, using ozone concentration as representative, in four-dimensional Grid data forecast result
In, filter out ozone concentration four-dimension lattice point forecast result information.Screening technique is not construed as limiting herein, and can be program screening can also
To be artificial screening.In screening process, selection ozone concentration is common feature, is forecast to gaseous pollutant concentration four-dimension lattice point
As a result it is screened.
For example, in the present embodiment ozone concentration four-dimension lattice point forecast result: longitudinal 187* latitude direction 72, vertically
Times 248 when in 90 layers, 1 month of direction.
S13, basis preset gaseous pollutant concentration four-dimension lattice point forecast result, are handled, are obtained by weather mapping system
Default layer presets gaseous pollutant concentration text file.
Specifically, it by the four-dimensional lattice point forecast result of the default gaseous pollutant concentration obtained after screening, inputs meteorology and draws
Drawing system is handled, and the text file that default layer presets gaseous pollutant concentration is obtained.
For example, in the present embodiment, selecting GrADS weather mapping system as weather mapping system.GrADS(Grid
Analysis and Display System) it is a kind of widely used data processing in current meteorological boundary and display software systems.
The software systems can be read out meteorological data, process, graphical display and printout by its integration environment.It
When carrying out data processing, data can be Grid data, be also possible to website data;Data format can be binary system, can also
To be GRIB code, NetCDF can also be.
In the present embodiment, the ozone concentration four-dimension lattice point forecast result after screening inputs in GrADS weather mapping system
It is handled, obtains every layer of ozone concentration information, convert text file for every layer of ozone concentration information of NetCDF format.?
That is in the present embodiment, by an original 4 D data, becoming three-dimensional data (one layer of file) one by one.
S14, it carries out mode layer data according to summation method using layer-by-layer text file as input field and turns to column concentration
It changes, obtains Tropospheric ozone concentration column concentration.
Specifically, every layer of text file that conversion obtains successively is inputted and is summed, carry out mode layer data to convection current
The conversion of layer column concentration.Summation conversion method, comprising: according to volumetric mixture ratio and two neighboring mode face draught head, calculate each
The sum of mode face concentration of ozone column;Tropospheric ozone column concentration is calculated according to the sum of each mode face concentration of ozone column.
For example, in the present embodiment, carrying out conversion of the mode layer data to column concentration.The pattern simulation result of ozone concentration
It is on 90 layer model faces by 3 hours ozone volumetric mixture ratios (unit: mol/mol), if expecting tropospheric ozone column
Concentration needs to convert volumetric mixture ratio to column concentration.
Definition, mm_o3=3*16.0/1000
Mm_air=28.97/1000
NA=6.02e23
Gearth=9.81
Mpa2du=2.69e16
Wherein, mm_o3 is ozone molecule amount;Mm_air is air molecule amount;NA is Avogadro constant number;gearth
For acceleration of gravity;Conversion coefficient of the mpa2du between ozone concentration mol/cm2 and DU.
Conv=(NA/gearth)/mm_air* (1e-4)/mpa2du (formula 1)
In formula (1), NA, gearth, mm_air, mpa2du are it is known that therefore, volumetric concentration mixing can be obtained
Compare conv.
P (x, y, z)=hyam (z)+hybm (z) * aps (x, y) (formula 2)
In formula (2), it is NetCDF point data, aps is sea-level pressure, that hyam and hybm, which are characteristic,
For it is known that therefore, the air pressure p on mode face can be acquired.
Dp (x, y, z)=p (x, y, z)-p (x, y, z+1) (formula 3)
In formula (3), p is it is known that therefore, the draught head dp of two neighboring die face can be obtained.
O3_col=∑ O3* dp*conv (formula 4)
In formula (4), O3For ozone molecule amount, dp and conv are respectively that the above process is calculated, therefore can be with
Obtain the sum of concentration of ozone column o3_col between each mode face.
In the present embodiment, the calculating of pattern simulation result Tropospheric ozone column concentration is chosen near the ground to 215hPa progress
Read group total.It successively sums to ozone concentration column between each die face, calculation method are as follows:
Within the scope of air pressure 1 to 21500Pa near the ground, within the scope of the die face number of plies 1 to troposphere die face number zmax, po3
(x, y, t)=∑ dp (x, y, z, t) * o3 (x, y, z, t) * conv, to obtain Tropospheric ozone column concentration po3 (x, y, t).
In the present embodiment, model predictions output file is o3.txt, by conversion, by the layer-by-layer ozone concentration of model results
O3 (x, y, z, t) is converted to Tropospheric ozone column concentration po3 (x, y, t).
Further, in this embodiment before carrying out mode layer data and being converted to troposphere column concentration, further includes: carry out
Filter cloud processing.Utilize the filter for carrying out 30% to the pattern simulation result of ozone concentration by 3 hours total amount of cloud results of pattern simulation
Cloud processing.
Specifically, in order to make analog result and satellite remote sensing inverting data product with more comparativity, before the computation, benefit
It (is excluded with the filter cloud processing for carrying out 30% by pattern simulation result of 3 hours total amount of cloud results to ozone concentration of pattern simulation
Situation of the total amount of cloud 30% or more).
For example, optionally, carrying out filter cloud processing in the following manner:
When total amount of cloud clcv is less than 30%, in die face 1 to die face maximum range: p (x, y, z)=hyam (z)+
Hybm (z) * aps (x, y, t), excludes the case where total amount of cloud is on 30% with this.
Fig. 2 is that in January, 2010 China's zone convection layer ozone column after embodiment concentration column provided by the invention conversion is dense
Spend distribution schematic diagram;Fig. 3 is the regional pair of -2012 years summers in 2010 after embodiment concentration column provided by the invention conversion
Fluid layer ozone concentration column is evenly distributed schematic diagram.
It is worth noting that the present embodiment only uses ozone to enumerate gaseous pollutant, it is not to limit, other
The gaseous pollutant of form can be converted by converting molecular weight.
Gaseous pollutant concentration column conversion method provided in an embodiment of the present invention, obtains the four of physical quantity by model predictions
Grid data forecast result is tieed up, in four-dimensional Grid data forecast result, it is pre- to screen default gaseous pollutant concentration four-dimension lattice point
Report obtains default layer as a result, handle according to default gaseous pollutant concentration four-dimension lattice point forecast result by weather mapping system
Default gaseous pollutant concentration text file carries out the mode number of plies according to summation method using layer-by-layer text file as input field
According to the conversion to column concentration, Tropospheric ozone concentration column concentration is obtained.Mode layer ozone concentration can be converted to by conversion
Tropospheric ozone column concentration has further clarified the physics meaning of concentration of ozone column so that ozone concentration is reduced to three-dimensional from the four-dimension
Justice improves the forecast efficiency of Tropospheric ozone concentration in atmospheric chemistry model, improves environmental protection, Meteorological Field scientific research and business
The application effect of unit.
Further, in order to be further explained explanation to technical solution of the present invention, it is dirty that the present invention also provides a kind of gaseous states
Object concentration column conversion equipment is contaminated, Fig. 4 is that a kind of gaseous pollutant concentration column conversion device structure provided in an embodiment of the present invention shows
It is intended to.Referring to fig. 4, the conversion equipment of the embodiment of the present invention includes: model predictions 1, weather mapping system 2, calculates conversion equipment
3;
Model predictions 1, for exporting the four-dimensional Grid data forecast result of physical quantity, Grid data forecast result is
NetCDF format is also used to screen default gaseous pollutant concentration four-dimension lattice point forecast result;
It is pre- to export default layer for handling default gaseous pollutant concentration four-dimension lattice point forecast result for weather mapping system 2
If gaseous pollutant concentration text file;
Conversion equipment 3 is calculated, layer-by-layer text file for receiving input carries out mode layer data according to summation method
Conversion to column concentration obtains Tropospheric ozone concentration column concentration.
Further, calculation processing conversion equipment 3 is also used to filter cloud processing.
Further, calculation processing apparatus device 3, is specifically used for: using pattern simulation by 3 hours total amount of cloud results pair
The pattern simulation result of ozone concentration carries out 30% filter cloud processing.
Further, calculation processing apparatus 3 are specifically also used to:
According to volumetric mixture ratio and two neighboring mode face draught head, the sum of each mode face concentration of ozone column is calculated;
Tropospheric ozone column concentration is calculated according to the sum of each mode face concentration of ozone column.
About the included part of device in above-described embodiment, the concrete mode that wherein various pieces execute operation exists
It is described in detail in embodiment in relation to this method, no detailed explanation will be given here.
A kind of gaseous pollutant concentration column conversion equipment provided in an embodiment of the present invention, obtains physical quantity by model predictions
Four-dimensional Grid data forecast result screen default gaseous pollutant concentration four-dimension lattice in four-dimensional Grid data forecast result
Point forecast result is handled according to default gaseous pollutant concentration four-dimension lattice point forecast result by meteorological plotting device, is obtained pre-
If layer presets gaseous pollutant concentration text file, mode is carried out according to summation method using layer-by-layer text file as input field
Conversion of the layer data to column concentration obtains Tropospheric ozone concentration column concentration.Mode layer ozone concentration can be turned by conversion
It is changed to Tropospheric ozone column concentration, so that ozone concentration is reduced to three-dimensional from the four-dimension, has further clarified the object of concentration of ozone column
Manage meaning, improve the forecast efficiency of Tropospheric ozone concentration in atmospheric chemistry model, improve environmental protection, Meteorological Field scientific research with
The application effect of service unit.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In read/write memory medium.
Claims (10)
1. a kind of gaseous pollutant concentration column conversion method, which is characterized in that the described method comprises the following steps:
The four-dimensional Grid data forecast result of physical quantity is obtained by model predictions, the Grid data forecast result is NetCDF
Format;
In the four-dimensional Grid data forecast result, default gaseous pollutant concentration four-dimension lattice point forecast result is screened;
According to the default gaseous pollutant concentration four-dimension lattice point forecast result, is handled, preset by weather mapping system
The default gaseous pollutant concentration text file of layer;
The layer-by-layer text file is subjected to mode layer data to troposphere column concentration according to summation method as input field
Conversion.
2. gaseous pollutant concentration column conversion method according to claim 1, which is characterized in that the default gaseous contamination
The data dimension of object concentration four-dimension lattice point forecast result are as follows:
Longitudinal 187* latitude direction 72, times 248 when in 90 layers of vertical direction, 1 month.
3. gaseous pollutant concentration column conversion method according to claim 1, which is characterized in that the NetCDF format
Grid data forecast result, comprising: characteristic, surface pressure and mode layer ozone mixing ratio.
4. gaseous pollutant concentration column conversion method according to claim 1, which is characterized in that carrying out mode layer data
To before the conversion of column concentration, further includes: carry out filter cloud processing.
5. gaseous pollutant concentration column conversion method according to claim 4, which is characterized in that the filter cloud processing packet
It includes: being handled using the filter cloud for carrying out 30% by pattern simulation result of 3 hours total amount of cloud results to ozone concentration of pattern simulation.
6. gaseous pollutant concentration column conversion method according to claim 1, which is characterized in that the summation conversion side
Method, comprising:
According to volumetric mixture ratio and two neighboring mode face draught head, the sum of each mode face concentration of ozone column is calculated;
Tropospheric ozone column concentration is calculated according to the sum of each mode face concentration of ozone column.
7. a kind of gaseous pollutant concentration column conversion equipment characterized by comprising model predictions, weather mapping system, calculating
Conversion equipment;
The model predictions, for exporting the four-dimensional Grid data forecast result of physical quantity, the Grid data forecast result is
NetCDF format is also used to screen default gaseous pollutant concentration four-dimension lattice point forecast result;
The weather mapping system, for handling the default gaseous pollutant concentration four-dimension lattice point forecast result, output is default
The default gaseous pollutant concentration text file of layer;
The calculating conversion equipment, the successively text file for receiving input carry out the mode number of plies according to summation method
According to the conversion to column concentration, Tropospheric ozone concentration column concentration is obtained.
8. gaseous pollutant concentration column conversion equipment according to claim 1, which is characterized in that the calculation processing conversion
Device is also used to filter cloud processing.
9. gaseous pollutant concentration column conversion equipment according to claim 8, which is characterized in that the calculation processing apparatus
Device is specifically used for: carrying out 30% by pattern simulation result of 3 hours total amount of cloud results to ozone concentration using pattern simulation
Filter cloud processing.
10. gaseous pollutant concentration column conversion equipment according to claim 7, which is characterized in that the calculation processing dress
It sets, is specifically also used to:
According to volumetric mixture ratio and two neighboring mode face draught head, the sum of each mode face concentration of ozone column is calculated;
Tropospheric ozone column concentration is calculated according to the sum of each mode face concentration of ozone column.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111145840A (en) * | 2019-11-20 | 2020-05-12 | 天津同阳科技发展有限公司 | Method, device and equipment for automatically unifying units of gaseous pollutants and storage medium |
CN111524558A (en) * | 2020-06-29 | 2020-08-11 | 中科三清科技有限公司 | Ozone generation sensitivity indicator, and method and device for determining same |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130091926A1 (en) * | 2011-10-12 | 2013-04-18 | Intermolecular, Inc. | Systems and Methods for Measuring, Monitoring and Controlling Ozone Concentration |
CN105182450A (en) * | 2015-10-15 | 2015-12-23 | 成都信息工程大学 | Short-time early warning system for severe convection weather |
CN106019409A (en) * | 2016-05-11 | 2016-10-12 | 北京市环境保护监测中心 | Partition prediction method and system for ozone concentration |
CN106771682A (en) * | 2016-12-31 | 2017-05-31 | 中国气象科学研究院 | A kind of space charge concentration acquisition methods and device |
CN109115966A (en) * | 2018-11-11 | 2019-01-01 | 西藏神州瑞霖环保科技股份有限公司 | It is a kind of can real-time monitoring pollutant concentration and range of scatter monitoring device |
-
2019
- 2019-04-01 CN CN201910259923.1A patent/CN109799549B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130091926A1 (en) * | 2011-10-12 | 2013-04-18 | Intermolecular, Inc. | Systems and Methods for Measuring, Monitoring and Controlling Ozone Concentration |
CN105182450A (en) * | 2015-10-15 | 2015-12-23 | 成都信息工程大学 | Short-time early warning system for severe convection weather |
CN106019409A (en) * | 2016-05-11 | 2016-10-12 | 北京市环境保护监测中心 | Partition prediction method and system for ozone concentration |
CN106771682A (en) * | 2016-12-31 | 2017-05-31 | 中国气象科学研究院 | A kind of space charge concentration acquisition methods and device |
CN109115966A (en) * | 2018-11-11 | 2019-01-01 | 西藏神州瑞霖环保科技股份有限公司 | It is a kind of can real-time monitoring pollutant concentration and range of scatter monitoring device |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111145840A (en) * | 2019-11-20 | 2020-05-12 | 天津同阳科技发展有限公司 | Method, device and equipment for automatically unifying units of gaseous pollutants and storage medium |
CN111145840B (en) * | 2019-11-20 | 2021-05-11 | 天津同阳科技发展有限公司 | Method, device and equipment for automatically unifying units of gaseous pollutants and storage medium |
CN111524558A (en) * | 2020-06-29 | 2020-08-11 | 中科三清科技有限公司 | Ozone generation sensitivity indicator, and method and device for determining same |
CN111524558B (en) * | 2020-06-29 | 2020-10-16 | 中科三清科技有限公司 | Ozone generation sensitivity indicator, and method and device for determining same |
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