CN109375285A - A kind of rose figure production method applied to contamination analysis - Google Patents
A kind of rose figure production method applied to contamination analysis Download PDFInfo
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- CN109375285A CN109375285A CN201810949653.2A CN201810949653A CN109375285A CN 109375285 A CN109375285 A CN 109375285A CN 201810949653 A CN201810949653 A CN 201810949653A CN 109375285 A CN109375285 A CN 109375285A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
Abstract
A kind of rose figure production method applied to contamination analysis, comprising the following steps: the data obtaining time section for choosing the predetermined area selectes several testing time points during the period of time；Obtain wind direction data, air speed data and the pollutant concentration data at each time point；Centered on the predetermined area, compass azimuth figure is made；Using the center of compass azimuth figure as the center of circle, wind speed linear difference figure is made；Wind direction data according to each time point generates wind frequency profile in compass azimuth figure；Correspondence of each time point is shown in the compass azimuth figure by air speed data and wind direction data according to the time point；Pollutant concentration is mapped to color depth；By the color addition mapped with the pollutant concentration at each time point into the compass azimuth figure.Due to being integrated with pollutant concentration and air speed data in compass azimuth figure, thus the relationship of image illustrated between dispersion of pollutants direction and wind speed.
Description
Technical field
The present invention relates to meteorologic analysis field, in particular to a kind of rose figure production method applied to contamination analysis.
Background technique
In recent years, as the sustained and rapid development of economic society, the development of industrialization and urbanization aggravate, energy consumption is fast
Speed increases, and air pollution is got worse, and air pollutant emission total amount is high.Wind as influence dispersion of pollutants is always
It is the main means that people study pollution spread.
Wind frequency rose figure (abbreviation wind rose) also makes wind direction frequency rose scheme, it is according to a certain area many years average system
Each wind direction of meter and the percent value of wind speed, and draw by a certain percentage, general multi-purpose 8 or 16 compass azimuths expressions,
It gains the name since shape exactly likes rose flower.
Since wind frequency rose figure is capable of the wind direction frequency of the expression wind of image, so in the prior art, researcher is frequent
Propagation according to wind frequency rose map analysis pollutant.But it is in the course of the research, since wind frequency rose figure can not be direct
Relationship between reaction and pollutant, so needing researcher separately to make a search the propagation condition of pollutant, to cooperate dirt
Contaminate the early warning that object is propagated.
Summary of the invention
The object of the present invention is to provide a kind of rose figure production methods applied to contamination analysis, its advantage is that this method energy
Enough produce the rose figure of image performance dispersion of pollutants.
Above-mentioned technical purpose of the invention has the technical scheme that
A kind of rose figure production method applied to contamination analysis, comprising the following steps:
Step 1: choosing the data obtaining time section of the predetermined area, select several testing time points during the period of time；
Step 2: obtaining wind direction data, air speed data and the pollutant concentration data at each time point；
Step 3: centered on the predetermined area, making compass azimuth figure；
Step 4: using the center of compass azimuth figure as the center of circle, making wind speed linear difference figure；
Step 5: the wind direction data according to each time point generates wind frequency profile in compass azimuth figure；
Step 6: correspondence of each time point is shown to the compass side by air speed data and wind direction data according to the time point
In bitmap；
Step 7: pollutant concentration is mapped to color depth；
Step 8: by the color addition mapped with the pollutant concentration at each time point into the compass azimuth figure.
By using above-mentioned technical proposal, the generation of wind frequency profile represents the predominant wind in seclected time period,
Pollutant concentration is mapped to after color depth and is added in compass azimuth figure, pollutant concentration and wind direction wind frequency evidence are realized
Mixed display be also integrated with pollutant concentration and wind due to not only showing wind direction wind frequency evidence in compass azimuth figure
Fast data, so that the relationship of image illustrated between dispersion of pollutants direction and wind speed, studies wind to pollution in researcher
In the influence process that object is propagated, image can be provided and effective data supporting.When the compass azimuth chart by this method production
Show in following a period of time, when somewhere will appear strong polluting weather, can be given warning in advance by researcher.
Preferably, further include step 9: linear interpolation transformation is done to the color in compass azimuth figure.
By using above-mentioned technical proposal, since simple carries out table by the pollution concentration and wind speed at selected time point
Show, it may be desirable to which the data supporting at many time points not only increases the acquisition difficulty of data, while also will increase the number of system
According to processing difficulty.It is converted by using linear interpolation, can be in the case where the time point data of acquisition be less, vivid shows
Wind direction and concentration representated by each point in compass azimuth figure, so that researcher be facilitated to study compass azimuth figure.
Preferably, the linear interpolation transformation is set as bilinear interpolation.
Preferably, the compass azimuth figure is eight compass azimuth figures.
Preferably, the compass azimuth figure is 16 compass azimuth figures.
It preferably, further include having the concentration mapping graph for indicating pollutant concentration and color depth mapping relations.
It is by the display of color due to being mapped one by one color with pollutant concentration by using above-mentioned technical proposal
It can be achieved to indicate the image of concentration distribution of pollutants, but during practical study, if researcher does not know color
Depth and pollutant concentration between mapping relations, it is necessary to link up, or be different in compass azimuth figure with technical staff
Mapping relations between pollutant concentration and color depth are different, then influence whether judgement of the researcher to pollutant concentration,
By increasing concentration mapping graph, it can facilitate researcher that can clearly judge the concentration distribution in compass azimuth figure.
In conclusion the invention has the following advantages: due to not only showing wind direction wind frequency in compass azimuth figure
Data are also integrated with pollutant concentration and air speed data, so that image illustrates between dispersion of pollutants direction and wind speed
Relationship, studied in influence process of the wind to dispersion of pollutants in researcher, image can be provided and effective data supporting.
Detailed description of the invention
Fig. 1 is the flow chart of the rose figure production method applied to contamination analysis；
Fig. 2 is the schematic diagram for polluting rose figure.
In figure, 1, compass azimuth figure；2, wind speed linear difference figure；3, wind frequency profile；4, concentration mapping graph.
Specific embodiment
Below in conjunction with attached drawing, invention is further described in detail, wherein the identical appended drawing reference of identical components
It indicates.It should be noted that word "front", "rear" used in the following description, "left", "right", "up" and "down", " bottom surface " and
" top surface " refers to that the direction in attached drawing, word "inner" and "outside" are referred respectively to towards or away from geometric center of specific component
Direction.
A kind of rose figure production method applied to contamination analysis, as depicted in figs. 1 and 2, comprising the following steps:
Step 1: seclected time point and the predetermined area are chosen the data obtaining time section of the predetermined area, are selected during the period of time
Fixed several testing time points.
Step 2: the meteorological data and contamination data of acquisition time point, meteorological data include air speed data and air speed data,
Contamination data includes pollutant concentration data.
Step 2-1: pollutant sensor is arranged in siting in setting sensor, and pollutant sensor includes at least
PM2.5 sensor and SO 2 sensor are related to sensor the saying in the present embodiment of air pollutant concentration detection
In bright range, unique restriction is not done herein.
Step 2-2: monitoring data are obtained, the detection data of each pollutant sensor are acquired by data center, and upload
To cloud database.
Step 2-3: obtaining meteorological data, by the gdas meteorological data in data center's acquisition NOAA server, and from
Wind direction data is uploaded to cloud database by the wind direction data that corresponding time point is extracted in gdas meteorological data.
Step 3: centered on the predetermined area, making compass azimuth Fig. 1, compass azimuth Fig. 1 is preferably eight compass azimuth figures
1, but 16 compass azimuth Fig. 1 being more clear for orientation references are also in the declared range of the present embodiment.Data center
Several research terminals are connected with, research terminal is preferably arranged on the meteorologic analysis software on computer or APP, in research terminal system
Make compass azimuth Fig. 1.
Step 4: using the center of compass azimuth Fig. 1 as the center of circle, making wind speed linear difference Fig. 2.
Step 5: generating wind frequency profile 3, it is wide that the wind direction data according to each time point generates wind frequency in compass azimuth Fig. 1
Line 3.
Step 6: compass is layouted, and correspondence of each time point is shown to institute by the air speed data and wind direction data according to time point
It states in compass azimuth Fig. 1.
Step 7: pollutant concentration is mapped to color depth.
Step 8: by the color addition mapped with the pollutant concentration at each time point into compass azimuth Fig. 1.
Step 9: linear interpolation transformation being done to the color in compass azimuth Fig. 1, generates pollution rose figure.
Step 10: addition concentration mapping graph 4 will indicate the concentration mapping graph of pollutant concentration and color depth mapping relations
4 are added in pollution rose figure.
Further, it since the monitoring data that pollutant sensor detects are uploaded to cloud database, realizes to monitoring
Time option is arranged in the studies above terminal in the historical record of data so that researcher directly pass through research terminal it is selected when
Between section, thus generate the corresponding period pollution rose figure.
Further, above-mentioned linear interpolation transformation is set as bilinear interpolation, and particular content is as follows:
Selected color point of addition (u0, v0), and 4 adjoint point gray values of selected color Adding Area, 4 adjoint point gray values are
The gray value at corresponding time point, be respectively designated as (u, v), (u+1, v), (u, v+1) and (u+1, v+1).
It is assumed that [S] indicates the maximum integer for being no more than S, setting: u=[u0]; v=[v0];α= u0-[u0]; β= v0-
[v0] 。
S1: by f(u, v), f(u+1, v) doing the interpolation calculation of first time horizontal direction, acquire (u0, v).
F(u0, v)=f(u, v)+α [f(u+1, v)-f(u, v)]
S2: by f(u, v+1), f(u+1, v+1) interpolation calculation of doing second of horizontal direction, acquire (u0, v+1).
F(u0, v+1)=f(u, v+1)+α [f(u+1, v+1)-f(u, v+1)]
S3: by (u0 v) does the interpolation calculation of third time vertical direction with (u0, v+1), acquires (u0, v0).
F(u0, v0)=f(u0, v)+β [f(u0, v+1)-f(u0, v)]
=f(u, v) (1- α) (1- β)+f(u+1, v) α (1- β)
+ f(u, v+1) (1- α) β+f(u+1, v+1) α β
To obtain the color of (u0, v0).
Further, concentration mapping graph 4 is preferably bar chart, including color color gradient bar chart from shallow to deep and
Concentration label (not shown) corresponding with color depth in color bar chart.
The pollution rose figure produced using above technical scheme, is not only able to indicate wind direction by wind frequency profile 3, simultaneously
Researcher can be facilitated to dirt by not having the pollutant concentration of any and wind direction to indicate influence of the outlet air to dispersion of pollutants
Research and budget that object is propagated are contaminated, there is apparent help to environmental warning.
This specific embodiment is only explanation of the invention, is not limitation of the present invention, those skilled in the art
Member can according to need the modification that not creative contribution is made to the present embodiment after reading this specification, but as long as at this
All by the protection of Patent Law in the scope of the claims of invention.
Claims (6)
1. a kind of rose figure production method applied to contamination analysis, it is characterised in that: the following steps are included:
Step 1: choosing the data obtaining time section of the predetermined area, select several testing time points during the period of time；
Step 2: obtaining wind direction data, air speed data and the pollutant concentration data at each time point；
Step 3: centered on the predetermined area, making compass azimuth figure (1)；
Step 4: using the center of compass azimuth figure (1) as the center of circle, making wind speed linear difference figure (2)；
Step 5: the wind direction data according to each time point generates wind frequency profile (3) in compass azimuth figure (1)；
Step 6: correspondence of each time point is shown to the compass side by air speed data and wind direction data according to the time point
In bitmap (1)；
Step 7: pollutant concentration is mapped to color depth；
Step 8: by the color addition mapped with the pollutant concentration at each time point into the compass azimuth figure (1).
2. a kind of rose figure production method applied to contamination analysis according to claim 1, it is characterised in that: further include
Step 9: linear interpolation transformation is done to the color in compass azimuth figure (1).
3. a kind of rose figure production method applied to contamination analysis according to claim 2, it is characterised in that: the line
Property Interpolating transform is set as bilinear interpolation.
4. a kind of rose figure production method applied to contamination analysis according to claim 3, it is characterised in that: sieve
Disk orientation diagram (1) is eight compass azimuth figures (1).
5. a kind of rose figure production method applied to contamination analysis according to claim 3, it is characterised in that: sieve
Disk orientation diagram (1) is 16 compass azimuth figures (1).
6. a kind of rose figure production method applied to contamination analysis according to claim 3, it is characterised in that: further include
There is the concentration mapping graph (4) for indicating pollutant concentration and color depth mapping relations.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109991683A (en) * | 2019-04-12 | 2019-07-09 | 中国气象局沈阳大气环境研究所 | Wind frequency is according to processing method and processing device |
| CN110610279A (en) * | 2019-09-27 | 2019-12-24 | 复旦大学 | Method for identifying pollution source of atmospheric fine particulate matters and application thereof |
| CN110687255A (en) * | 2019-10-21 | 2020-01-14 | 软通动力信息技术有限公司 | Air pollutant tracing method, device, equipment and storage medium |
| CN110750257A (en) * | 2019-09-28 | 2020-02-04 | 天津同阳科技发展有限公司 | Rose map display method and system |
| CN110954658A (en) * | 2019-12-02 | 2020-04-03 | 上海宝钢工业技术服务有限公司 | Gridding tracing investigation method for volatile organic compounds in industrial park |
| CN112051362A (en) * | 2020-09-01 | 2020-12-08 | 杭州壹丈科技有限公司 | Wind rose pre-judgment pollutant change model |
| CN113759441A (en) * | 2021-09-08 | 2021-12-07 | 长春嘉诚信息技术股份有限公司 | Air quality tracing method based on wind-rose diagram and pollution source monitoring |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109991683A (en) * | 2019-04-12 | 2019-07-09 | 中国气象局沈阳大气环境研究所 | Wind frequency is according to processing method and processing device |
| CN110610279A (en) * | 2019-09-27 | 2019-12-24 | 复旦大学 | Method for identifying pollution source of atmospheric fine particulate matters and application thereof |
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| CN110954658A (en) * | 2019-12-02 | 2020-04-03 | 上海宝钢工业技术服务有限公司 | Gridding tracing investigation method for volatile organic compounds in industrial park |
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| CN112051362B (en) * | 2020-09-01 | 2022-06-24 | 杭州壹丈科技有限公司 | Wind rose pre-judgment pollutant change model |
| CN113759441A (en) * | 2021-09-08 | 2021-12-07 | 长春嘉诚信息技术股份有限公司 | Air quality tracing method based on wind-rose diagram and pollution source monitoring |
| CN113759441B (en) * | 2021-09-08 | 2022-04-22 | 长春嘉诚信息技术股份有限公司 | Air quality tracing method based on wind-rose diagram and pollution source monitoring |
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Inventor after: Hu Jun Inventor after: Guan Zuguang Inventor after: Gao Fei Inventor after: Weng Yingjie Inventor before: Guan Zuguang Inventor before: Gao Fei Inventor before: Weng Yingjie |
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Application publication date: 20190222 |