CN110019284A - A kind of atmospheric monitoring data express statistic and Causes for Pollution analysis platform - Google Patents
A kind of atmospheric monitoring data express statistic and Causes for Pollution analysis platform Download PDFInfo
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- 238000004458 analytical method Methods 0.000 title claims abstract description 149
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- 230000003287 optical effect Effects 0.000 claims abstract description 13
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- 238000012795 verification Methods 0.000 claims description 18
- 150000002500 ions Chemical class 0.000 claims description 11
- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 claims description 10
- 239000000443 aerosol Substances 0.000 claims description 10
- 239000003344 environmental pollutant Substances 0.000 claims description 10
- 231100000719 pollutant Toxicity 0.000 claims description 10
- 230000007423 decrease Effects 0.000 claims description 9
- 229910001385 heavy metal Inorganic materials 0.000 claims description 9
- 239000000203 mixture Substances 0.000 claims description 9
- 239000013618 particulate matter Substances 0.000 claims description 9
- 238000003915 air pollution Methods 0.000 claims description 7
- 239000003738 black carbon Substances 0.000 claims description 7
- 238000009825 accumulation Methods 0.000 claims description 6
- 238000012552 review Methods 0.000 claims description 6
- 238000012986 modification Methods 0.000 claims description 5
- 230000004048 modification Effects 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 5
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 3
- 238000003556 assay Methods 0.000 claims description 3
- 230000033228 biological regulation Effects 0.000 claims description 3
- 229910052799 carbon Inorganic materials 0.000 claims description 3
- 238000010219 correlation analysis Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims description 3
- 239000002243 precursor Substances 0.000 claims description 3
- 230000003595 spectral effect Effects 0.000 claims description 3
- 238000012731 temporal analysis Methods 0.000 claims description 3
- 238000000700 time series analysis Methods 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 claims description 2
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- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 description 24
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 14
- 229960003753 nitric oxide Drugs 0.000 description 8
- 235000019391 nitrogen oxide Nutrition 0.000 description 8
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 7
- 229910002091 carbon monoxide Inorganic materials 0.000 description 7
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- 239000007789 gas Substances 0.000 description 4
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- 229910021529 ammonia Inorganic materials 0.000 description 2
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Abstract
The invention discloses a kind of atmospheric monitoring data express statistic and Causes for Pollution analysis platforms, including atmospheric analysis platform, the atmospheric analysis platform is provided with mechanical floor and platform application layer, the mechanical floor is connected to atmospheric analysis platform by data access module, and the platform application layer includes data management, data are shown and data analysis.It is audited after the data storage that the present invention first provides monitoring device, and platform provides the function that data are directly shown according to different equipment monitoring types intuitively to be opened up by chart, data statistics is carried out by the calculation procedure of plateform system simultaneously, realize data express statistic, specific data are divided into: meteorological data, routine data, physical characteristic, optical characteristics, chemical characteristic, photochemical properties, vertical profile, and pass through fine particle contamination analysis, photochemical pollution analysis, Characteristics of Vertical Distribution analysis and statistical analysis, comprehensive analysis determines the pollution sources origin cause of formation.
Description
Technical field
The present invention relates to air monitoring method and technology field, specially a kind of atmospheric monitoring data express statistic and dirt
It dyes because of analysis platform.
Background technique
As the rapid advances of people society develop, the high product of many mechanizations and some high-tech are all more and more general
Time, but these products can generate many pollutants during production, lead to atmosphere pollution, while one in people's life
A little burn also results in atmosphere pollution, will lead to the deterioration of people's living environment in this way, needs positive monitoring management
Traditional air monitoring method exists following insufficient:
General atmosphere pollution monitoring method can only the air to smaller region carry out one-sided or several sides
The monitoring in face, and the data counted are more mixed and disorderly, quickly can not combine these data to form a system, in this way
It just will affect the analysis result of Causes for Pollution.
Summary of the invention
The purpose of the present invention is to provide a kind of atmospheric monitoring data express statistic and Causes for Pollution analysis platforms, to solve
The problems mentioned above in the background art.
To achieve the above object, the invention provides the following technical scheme: a kind of atmospheric monitoring data express statistic and pollution
Genetic analysis platform, including atmospheric analysis platform, the atmospheric analysis platform is provided with mechanical floor and platform application layer, described to set
Standby layer is connected to atmospheric analysis platform by data access module, and data access module passes data information all in mechanical floor
In the defeated database in atmospheric analysis platform；The platform application layer includes data management, data are shown and data analysis.
Further, the function of the data management includes initial data inquiry, data audit and processing data query, original
The function of beginning data query is the monitoring number being stored in the database of atmospheric analysis platform to monitoring device each in mechanical floor
It is inquired according to according to conventional parameter, meteorologic parameter, ion and carbonaceous components, heavy metal, optical characteristics and VOCs factor set；Number
It includes that " time, factor set " is inquired that function according to audit, which is according to querying condition, and is to monitoring each in mechanical floor
The data that equipment is monitored carry out audit judgement by certain auditing rule, and routine monitoring data are sentenced according to national standard
Fixed, unconventional instrument is judged automatically according to simple extreme-value problem, negative value problem etc., while data audit includes certainly
Dynamic audit and manual examination and verification；Processing data query is that data query is carried out for worried station factor set, and inquiry data are after auditing
Data, inquiry factor set have: conventional parameter, meteorologic parameter, ion and carbonaceous components, heavy metal element, optical properties and
VOCs component, querying condition include: time, factor set, website.
Further, the judgement data that the review process audited automatically includes are as follows: effective V；Super upper limit IO；Low limit
IU；Invalid I refers to valid data deficiency；To revision of the convention RM, refer in reasonable negative value ranges, can be fixed effective number with the revision of the convention
Value；Projecting VR；Data after the completion of automatic audit audit (i.e. before manual examination and verification) all have above-mentioned mark, and valid data V is omitted,
But check mark is beaten by front to embody；In addition to valid data V, the data of other any tape labels, before all without check mark, if
Without manual examination and verification, in data query, data displaying, data assay surface, what is found or use is all initial data.
Further, the review process of the manual examination and verification is to be subject to artificial secondary judgement to the result audited automatically,
To be further ensured that the quality of data, after manual examination and verification, data become green shading；And only valid data (V), the revision of the convention
Two kinds of situations of valid data (VC), before band check the number, and participate in it is subsequent displaying and analysis, other data are not participated in subsequent
Displaying and analytic process.
Further, the audit scheme of the manual examination and verification are as follows:
Valid data are audited the box passed through for invalid data (I) before click data and realize (valid data by the first step
There is check mark, invalid data is without the label for checking the number and having I)；
Invalid data (I) is audited the box passed through for valid data before click data or data and realized by second step；
Third step audits projecting data VR, super upper data IO, low lower data IU for valid data or invalid number
According to being audited by click data；If be not processed to projecting data, super upper data, low lower data, directly audit
Result be still projecting data, super upper data, low lower data, and do not participate in displaying and analysis；
About data (RM) revision of the convention to be repaired is valid data (VC) by the 4th step, and revision of the convention value carries out the revision of the convention according to national regulation,
It is realized, according to national standards the data after the revision of the convention, is considered as effectively by click data, no longer support other modifications；If
The data for not treating the revision of the convention (RM) carry out the revision of the convention, and the result directly audited is still about data to be repaired, do not participate in displaying and analysis.
Further, the displaying content that the data are shown includes meteorological data, routine data, physical characteristic, optics spy
Property, photochemical properties and vertical profile；The meteorological data, which is related to monitoring device, atmospherium, PM monitor, titanium dioxide
Sulfur monitor, carbon monoxide detector, nitrogen-oxide analyzer, and Ozone Spot Checker, and gas is drawn by above-mentioned monitoring device
As Monitoring factors (temperature, humidity, air pressure, wind speed) hour time series chart and show the average value of each meteorologic parameter, maximum
Value and minimum value statistical result, draw the wind rose map of the routine monitoring factor and wind speed, and converge on atmospheric analysis platform
It is total to show；The routine data, which is related to monitoring device, PM monitor, sulfur dioxide monitor, nitrogen-oxide analyzer, ozone
Monitor, carbon monoxide monitoring, overall suspended pellet TSP analyzer and ammonia monitor, collect dirt by above-mentioned monitoring device
The data information of Monitoring factors is contaminated, and draws trend chart by monitoring device, provides the statistical nature of each parameter.
Further, the physical characteristic, which is related to monitoring device, partial size spectrometer, PM monitor, and relies on above-mentioned monitoring
Equipment draws aerosol partial size Spectral structure figure and particulate matter quality concentration trend chart, for analyzing the generation of fine particle
Journey；The optical characteristics, which is related to monitoring device, atmospheric pollution monitor, black carbon instrument, visibility monitor, binary channels PM monitoring
Instrument, due to the higher decline that will lead to visibility of black concentration of carbon, the decline by above-mentioned monitoring device analysis visibility is
No related to the increase of black carbon, scattering coefficient and visibility also negative correlation pass through above equipment analysis of data collected energy
Relationship between the decline and atmospheric scattering coefficient of degree of opinion；The photochemical properties, which are related to monitoring device, VOCs analyzer, leads to
Cross VOCs analyzer show VOCs main composition alkane, alkene, alkynes, aromatic hydrocarbon, halogenated hydrocarbons, aldehydes, ketone, natural source, its
The average accounting of his time series variation and each main composition, provides the time series of VOC each component concentration, for dividing
Analyse different VOCs species characteristics and accounting variation；The vertical profile, which is related to monitoring device, aerosol LIDAR, root
Sentence according to the particulate matter spatial distribution inversion result of aerosol radar inverting for analyzing the vertical space distribution characteristics of pollutant
The mainly local generation of pollution or external input cause when disconnected generation heavy air pollution process.
Further, the data analyze carried out analysis include Particulate Pollution analysis, photochemical pollution analysis,
HYSPLIT analysis, statistical analysis, comprehensive analysis and Ground-based remote sensing analysis；The Particulate Pollution analysis, which is related to monitoring instrument, to be had
PM monitor, ion chromatograph, heavy metal monitor, weather monitoring instrument, SO analyzer, nitrogen-oxide analyzer, carbon monoxide
Analyzer successively carries out pollution level analysis, Causes for Pollution analysis, source characteristics analysis by the monitoring data of monitoring instrument
With online source resolution, the source of pollutant is gradually analyzed, showing form includes time series chart, data statistic, factor correlation
A variety of ways of presentation such as property figure, factor concentration area accumulation graph, accounting pie chart；The photochemical pollution analysis is related to monitoring instrument
Have VOCs analyzer, O analyzer, NOx analyzer, PM. analyzer, weather monitoring instrument, SO analyzer, nitrogen-oxide analyzer,
Ozone analyzer, carbonyl analyzer, by the monitoring data of monitoring instrument, successively carry out pollution level analysis, pollution at
Because of analysis, ozone and precursor relationship, source characteristics analysis and online source resolution, the source of pollutant is gradually analyzed, shape is showed
Formula includes a variety of exhibitions such as time series chart, data statistic, factor correlativity figure, factor concentration area accumulation graph, accounting pie chart
Existing mode；
Wherein the HYSPLIT is divided into single-node analysis: providing the air mass source track of same website, different time points
Analysis, can analyze the website is influenced feature by different air mass in different time points.One track of drafting in every three hours, and can
Show or hide is carried out by way of clicking time point；
Multiple spot analysis: the backward trajectory analysis figure of multiple spot is provided, can analyze institute's survey region difference point by different gas
The influence feature in group source, while the time series according to PM., PM, can provide the back trajectca-rles figure at time point of interest；
Clustering: clustering is utilized, cluster numbers is voluntarily selected, air mass trajectory is clustered, show each air mass rail
The percentage of mark analyzes influence of each air mass trajectory to region.
Further, the statistical analysis, which is related to monitoring device, PM monitor, ozone analyzer, carbon monoxide analysis
Instrument, SO analyzer, NOx analyzer, weather monitoring instrument, ion chromatograph, transmissometer, visibility monitor, black carbon instrument, VOCs exist
Line analysis instrument passes through frequency histogram, calendar map analysis, Analysis on Pollution Characteristics, time series analysis, correlation analysis respectively,
Statistical information feature is extracted to monitoring data, Contaminated Data Analysis is carried out according to statistical information feature, judges instrument operation and fortune
Dimension state etc.；The comprehensive analysis be related to monitoring instrument have weather monitoring instrument, PM. monitor, SO analyzer, NOx analyzer, from
Sub- chromatograph, heavy metal monitor and VOCs analyzer, integrated ground meteorologic parameter and environmental monitoring parameter are associated analysis,
In combination with ground and weather pattern at high figure, satellite image, HYSPLIT trajectory analysis, particulate matter chemical composition, particle material resource
Parsing result carries out comprehensive analysis, and multidimensional, multi-angle comprehensive analyzing and diagnosing heavy air pollution process Causes for Pollution are fast to heavy air pollution process
Fast diagnostic analysis；The Ground-based remote sensing analysis, which is related to monitoring instrument, weather monitoring instrument, PM monitor, laser radar, draws super
Grade station aerosol LIDAR monitoring inverted image (extinction coefficient and depolarization ratio), in conjunction with meteorological data near the ground, conventional dirt
Contaminate the association analysis of object monitoring result.
Compared with prior art, the beneficial effects of the present invention are:
1, it is audited after the data storage that the present invention first provides monitoring device, and platform is according to different Supervisions
Survey type and provide the function that directly shows of data intuitively to be opened up by chart, at the same the calculation procedure of dependence plateform system into
Line number according to statistics, realizes data express statistic, specific data are divided into: meteorological data, routine data, physical characteristic, optical characteristics,
Chemical characteristic, photochemical properties, vertical profile；
2, the present invention passes through fine particle contamination analysis, photochemical pollution analysis, Characteristics of Vertical Distribution analysis and statistics
Analysis, comprehensive analysis are analyzed to determine the pollution sources origin cause of formation according to pollution level analysis, Causes for Pollution analysis, source characteristics
And source resolution, pollution sources feature is gradually navigated to, carries out support to contamination analysis service.
Detailed description of the invention
Fig. 1 is a kind of atmospheric monitoring data express statistic of the present invention and Causes for Pollution analysis platform module diagram；
Fig. 2 is the module of data audit in a kind of atmospheric monitoring data express statistic of the present invention and Causes for Pollution analysis platform
Schematic diagram.
In Fig. 1-2: 1, atmospheric analysis platform；2, mechanical floor；3, data management；4, initial data is inquired；5, data are audited；
6, data query is handled；7, meteorological data；8, routine data；9, physical characteristic；10, optical characteristics；11, photochemical properties；12,
Vertical profile；13, data are shown；14, Particulate Pollution is analyzed；15, photochemical pollution is analyzed；16, HYSPLIT is analyzed；
17, it statisticallys analyze；18, comprehensive analysis；19, Ground-based remote sensing is analyzed；20, data are analyzed；21, platform application layer；22, automatic to examine
Core；23, manual examination and verification；24, data access module.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The present invention provides a kind of technical solution referring to FIG. 1-2: a kind of atmospheric monitoring data express statistic and Causes for Pollution
Analysis platform, including atmospheric analysis platform 1, atmospheric analysis platform 1 are provided with mechanical floor 2 and platform application layer 21, and mechanical floor 2 is logical
It crosses data access module 24 and is connected to atmospheric analysis platform 1, data access module 24 passes data information all in mechanical floor 2
In the defeated database in atmospheric analysis platform 1；Platform application layer 21 includes data management 3, data displaying 13 and data analysis
20。
The function of data management 3 include initial data inquiry 4, data audit 5 and processing data query 6, original number it is investigated that
The function of asking 4 be the monitoring data that are stored in monitoring device each in mechanical floor 2 in the database of atmospheric analysis platform 1 according to
Conventional parameter, meteorologic parameter, ion and carbonaceous components, heavy metal, optical characteristics and VOCs factor set are inquired；Data audit
It includes that " time, factor set " is inquired that 5 function, which is according to querying condition, and is to monitoring device each in mechanical floor 2
The data monitored carry out audit judgement by certain auditing rule, and routine monitoring data are determined according to national standard,
Unconventional instrument is judged automatically according to simple extreme-value problem, negative value problem etc., while data audit 5 includes automatic audit
22 and manual examination and verification 23；Processing data query 6 is that data query is carried out for worried station factor set, and inquiry data are number after auditing
According to, inquiry factor set have: conventional parameter, meteorologic parameter, ion and carbonaceous components, heavy metal element, optical properties and
VOCs component, querying condition include: time, factor set, website.
The judgement data that the review process of automatic audit 22 includes are as follows: effective V；Super upper limit IO；Low limit IU；Invalid I, refers to
Valid data are insufficient；To revision of the convention RM, refer in reasonable negative value ranges, can be fixed effective numerical value with the revision of the convention；Projecting VR；From
Data after the completion of dynamic 22 audit of audit (i.e. before manual examination and verification 23) all have above-mentioned mark, and valid data V is omitted, but before passing through
Check mark is played to embody in face；In addition to valid data V, the data of other any tape labels, before all without check mark, if without people
Work audit, in data query, data displaying, data assay surface, what is found or use is all initial data.
The review process of manual examination and verification 23 is to be subject to artificial secondary judgement to the result of automatic audit 22, further to protect
The quality of data is demonstrate,proved, after manual examination and verification 23, data become green shading；And only valid data (V), revision of the convention valid data
(VC) two kinds of situations, before band check the number, and participate in it is subsequent displaying and analysis, other data do not participate in it is subsequent displaying and point
Analysis process.
The audit scheme of manual examination and verification 23 are as follows:
Valid data are audited the box passed through for invalid data (I) before click data and realize (valid data by the first step
There is check mark, invalid data is without the label for checking the number and having I)；
Invalid data (I) is audited the box passed through for valid data before click data or data and realized by second step；
Third step audits projecting data VR, super upper data IO, low lower data IU for valid data or invalid number
According to being audited by click data；If be not processed to projecting data, super upper data, low lower data, directly audit
Result be still projecting data, super upper data, low lower data, and do not participate in displaying and analysis；
About data (RM) revision of the convention to be repaired is valid data (VC) by the 4th step, and revision of the convention value carries out the revision of the convention according to national regulation,
It is realized, according to national standards the data after the revision of the convention, is considered as effectively by click data, no longer support other modifications；If
The data for not treating the revision of the convention (RM) carry out the revision of the convention, and the result directly audited is still about data to be repaired, do not participate in displaying and analysis.
Data show 13 displaying content include meteorological data 7, it is routine data 8, physical characteristic 9, optical characteristics 10, photochemical
Learn characteristic 11 and vertical profile 12；Meteorological data 7, which is related to monitoring device, atmospherium, PM monitor, sulfur dioxide monitoring
Instrument, carbon monoxide detector, nitrogen-oxide analyzer, and Ozone Spot Checker, and weather monitoring is drawn by above-mentioned monitoring device
The hour time series chart of the factor (temperature, humidity, air pressure, wind speed) simultaneously shows the average value of each meteorologic parameter, maximum value and most
Small Data-Statistics are as a result, draw the wind rose map of the routine monitoring factor and wind speed, and summarize exhibition on atmospheric analysis platform 1
Show；Routine data 8 be related to monitoring device have PM monitor, sulfur dioxide monitor, nitrogen-oxide analyzer, Ozone Spot Checker,
Carbon monoxide monitoring, overall suspended pellet TSP analyzer and ammonia monitor, by above-mentioned monitoring device collect pollution monitoring because
The data information of son, and trend chart is drawn by monitoring device, provide the statistical nature of each parameter.
Physical characteristic 9, which is related to monitoring device, partial size spectrometer, PM monitor, and molten by above-mentioned monitoring device drafting gas
Micelle diameter Spectral structure figure and particulate matter quality concentration trend chart, for analyzing the generating process of fine particle；Optical characteristics 10
Being related to monitoring device has atmospheric pollution monitor, black carbon instrument, visibility monitor, binary channels PM monitor, due to black concentration of carbon
The higher decline that will lead to visibility, thus by above-mentioned monitoring device analyze visibility decline whether the increase phase with black carbon
It closes, scattering coefficient and visibility also negative correlation, decline and atmosphere by above equipment analysis of data collected visibility
Relationship between scattering coefficient；Photochemical properties 11, which are related to monitoring device, VOCs analyzer, is shown by VOCs analyzer
VOCs main composition alkane, alkene, alkynes, aromatic hydrocarbon, halogenated hydrocarbons, aldehydes, ketone, natural source, other time series variations,
And the average accounting of each main composition, provide the time series of VOC each component concentration.For analyzing different VOCs species characteristics
And accounting variation；Vertical profile 12, which is related to monitoring device, aerosol LIDAR, according to of aerosol radar inverting
Grain object space distribution inversion judges to occur dirty when heavy air pollution process as a result, for analyzing the vertical space distribution characteristics of pollutant
The mainly local generation of dye or external input cause.
The analysis that data analysis 20 is carried out includes Particulate Pollution analysis 14, photochemical pollution analysis 15, HYSPLIT points
Analysis 16, statistical analysis 17, comprehensive analysis 18 and Ground-based remote sensing analysis 19；Particulate Pollution analysis 14, which is related to monitoring instrument, PM prison
Survey instrument, ion chromatograph, heavy metal monitor, weather monitoring instrument, SO2 analyzer, nitrogen-oxide analyzer, carbon monoxide analysis
Instrument, by the monitoring data of monitoring instrument, successively carry out pollution level analysis, Causes for Pollution analysis, source characteristics analysis and
Line source parsing, gradually analyze pollutant source, show form include time series chart, data statistic, factor correlativity figure,
A variety of ways of presentation such as factor concentration area accumulation graph, accounting pie chart；Photochemical pollution analysis 15, which is related to monitoring instrument, VOCs
It is analyzer, O3 analyzer, NOx analyzer, PM2.5 analyzer, weather monitoring instrument, SO2 analyzer, nitrogen-oxide analyzer, smelly
Oxygen analyzer, carbonyl analyzer successively carry out pollution level analysis, Causes for Pollution by the monitoring data of monitoring instrument
Analysis, ozone and precursor relationship, source characteristics analysis and online source resolution, gradually analyze the source of pollutant, show form
Show including time series chart, data statistic, factor correlativity figure, factor concentration area accumulation graph, accounting pie chart etc. are a variety of
Mode；
It is single-node analysis that wherein HYSPLIT, which analyzes 16 points: providing the air mass source track point of same website, different time points
Analysis, can analyze the website is influenced feature by different air mass in different time points.One track of drafting in every three hours, and can lead to
It crosses and clicks the mode at time point and carry out show or hide；
Multiple spot analysis: the backward trajectory analysis figure of multiple spot is provided, can analyze institute's survey region difference point by different gas
The influence feature in group source, while the time series according to PM2.5, PM10, can provide the back trajectca-rles figure at time point of interest；
Clustering: clustering is utilized, cluster numbers is voluntarily selected, air mass trajectory is clustered, show each air mass rail
The percentage of mark analyzes influence of each air mass trajectory to region.
Statistical analysis 17 be related to monitoring device have PM monitor, ozone analyzer, carbonyl analyzer, SO2 analyzer,
NOx analyzer, weather monitoring instrument, ion chromatograph, transmissometer, visibility monitor, black carbon instrument, VOCs in-line analyzer, point
Not Tong Guo frequency histogram, calendar map analysis, Analysis on Pollution Characteristics, time series analysis, correlation analysis, monitoring data are mentioned
Statistical information feature is taken, carry out Contaminated Data Analysis according to statistical information feature, judge instrument operation and O&M state etc.；It is comprehensive
Analysis 18, which is related to monitoring instrument, weather monitoring instrument, PM2.5 monitor, SO2 analyzer, NOx analyzer, ion chromatograph, again
Metal monitor and VOCs analyzer, integrated ground meteorologic parameter and environmental monitoring parameter are associated analysis, in combination with ground
Face and weather pattern at high figure, satellite image, HYSPLIT trajectory analysis, particulate matter chemical composition, particulate matter source resolution result into
Row comprehensive analysis, multidimensional, multi-angle comprehensive analyzing and diagnosing heavy air pollution process Causes for Pollution, to heavy air pollution process quick diagnosis point
Analysis；Ground-based remote sensing analysis 19, which is related to monitoring instrument, weather monitoring instrument, PM monitor, laser radar, draws super station aerosol
Monitoring by Lidar inverted image (extinction coefficient and depolarization ratio), in conjunction with meteorological data near the ground, Conventional pollution monitoring knot
Fruit association analysis.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (9)
1. a kind of atmospheric monitoring data express statistic and Causes for Pollution analysis platform, including atmospheric analysis platform (1), feature exists
In: the atmospheric analysis platform (1) is provided with mechanical floor (2) and platform application layer (21), and the mechanical floor (2) is connect by data
Enter module (24) to be connected to atmospheric analysis platform (1), data access module (24) passes data information all in mechanical floor (2)
In the defeated database in atmospheric analysis platform (1)；The platform application layer (21) includes data management (3), data displaying
(13) and data analyze (20).
2. a kind of atmospheric monitoring data express statistic according to claim 1 and Causes for Pollution analysis platform, feature exist
In: the function of the data management (3) includes initial data inquiry (4), data audit (5) and handles data query (6), original
The function of data query (4) is stored in the database of atmospheric analysis platform (1) to each monitoring device in mechanical floor (2)
Monitoring data are carried out according to conventional parameter, meteorologic parameter, ion and carbonaceous components, heavy metal, optical characteristics and VOCs factor set
Inquiry；It includes that " time, factor set " is inquired that the function of data audit (5), which is according to querying condition, and is to mechanical floor
(2) data that each monitoring device is monitored in carry out audit judgement by certain auditing rule, routine monitoring data according to
National standard is determined that unconventional instrument is judged automatically according to simple extreme-value problem, negative value problem etc., while described
It includes automatic audit (22) and manual examination and verification (23) that data, which audit (5),；Processing data query (6) be for worry station factor set into
Row data query, inquiry data are data after audit, and inquiry factor set has: conventional parameter, meteorologic parameter, ion and carbonaceous group
Divide, heavy metal element, optical properties and VOCs component, querying condition include: time, factor set, website.
3. a kind of atmospheric monitoring data express statistic according to claim 2 and Causes for Pollution analysis platform, feature exist
In: the judgement data that the review process of the automatic audit (22) includes are as follows: effective V；Super upper limit IO；Low limit IU；Invalid I,
Refer to that valid data are insufficient；To revision of the convention RM, refer in reasonable negative value ranges, can be fixed effective numerical value with the revision of the convention；Projecting VR；
Data after the completion of automatic audit (22) audit (i.e. before manual examination and verification (23)) all have above-mentioned mark, and valid data V is omitted, but
Check mark is played by front to embody；In addition to valid data V, the data of other any tape labels, before all without check mark, if not
Manual examination and verification are carried out, in inquiry, displaying, assay surface, what is found or use is all initial data.
4. a kind of atmospheric monitoring data express statistic according to claim 2 and Causes for Pollution analysis platform, feature exist
It is that artificial secondary judgement is subject to the result of automatic audit (22) in: the review process of the manual examination and verification (23), with into one
Step guarantees the quality of data, and after manual examination and verification (23), data become green shading；And only valid data (V), the revision of the convention have
Imitate data (VC) two kinds of situations, before band check the number, and participate in subsequent displaying and analysis, other data do not participate in subsequent exhibition
Show and analytic process.
5. a kind of atmospheric monitoring data express statistic according to claim 4 and Causes for Pollution analysis platform, feature exist
In: the audit scheme of the manual examination and verification (23) are as follows:
The first step audits valid data for invalid data (I), realizes that (valid data have pair by the box before click data
Number, invalid data is without the label for checking the number and having I)；
Invalid data (I) is audited the box passed through for valid data before click data or data and realized by second step；
Third step audits projecting data VR, super upper data IO, low lower data IU for valid data or invalid data,
It is audited by click data；If be not processed to projecting data, super upper data, low lower data, directly audit
As a result it is still projecting data, super upper data, low lower data, and does not participate in displaying and analysis；
About data (RM) revision of the convention to be repaired is valid data (VC) by the 4th step, and revision of the convention value carries out the revision of the convention according to national regulation, passes through
Click data is realized that the data after the revision of the convention, are considered as effectively according to national standards, no longer supports other modifications；If not right
Data to the revision of the convention (RM) carry out the revision of the convention, and the result directly audited is still about data to be repaired, do not participate in displaying and analysis.
6. a kind of atmospheric monitoring data express statistic according to claim 1 and Causes for Pollution analysis platform, feature exist
In: the data show that the displaying content of (13) includes meteorological data (7), routine data (8), physical characteristic (9), optical characteristics
(10), photochemical properties (11) and vertical profile (12)；The application of the meteorological data (7) is drawn by monitoring device
The hour time series chart of the weather monitoring factor (temperature, humidity, air pressure, wind speed) and the average value, most for showing each meteorologic parameter
Big value and minimum value statistical result, draw the wind rose map of the routine monitoring factor and wind speed, and in atmospheric analysis platform (1)
On summarize displaying；The routine data (8) application be the data information of the pollution monitoring factor is collected by monitoring device, and
And trend chart is drawn by monitoring device, provide the statistical nature of each parameter.
7. a kind of atmospheric monitoring data express statistic according to claim 6 and Causes for Pollution analysis platform, feature exist
In: the application of the physical characteristic (9) is to draw aerosol partial size Spectral structure figure and particulate matter quality concentration by monitoring device
Trend chart, for analyzing the generating process of fine particle；Due to the higher decline that will lead to visibility of black concentration of carbon, the light
Learn characteristic (10) application be by monitoring device analyze visibility decline it is whether related to the increase of black carbon, scattering coefficient with
Visibility also negative correlation passes through devices collect data and analyzes pass between the decline and atmospheric scattering coefficient of visibility
System；The photochemical properties (11), which are related to monitoring device, VOCs analyzer, shows VOCs main composition by VOCs analyzer
And the average accounting of each main composition, the time series of VOC each component concentration is provided, for analyzing different VOCs species characteristics
And accounting variation；The vertical profile (12), which is related to monitoring device, aerosol LIDAR, anti-according to aerosol radar
The particulate matter spatial distribution inversion result drilled for analyzing the vertical space distribution characteristics of pollutant judges that heavily contaminated mistake occurs
The mainly local generation of pollution or external input cause when journey.
8. a kind of atmospheric monitoring data express statistic according to claim 1 and Causes for Pollution analysis platform, feature exist
In: the analysis that data analysis (20) is carried out include Particulate Pollution analysis (14), photochemical pollution analysis (15),
HYSPLIT analyzes (16), statistical analysis (17), comprehensive analysis (18) and Ground-based remote sensing analysis (19)；The Particulate Pollution point
Analysis (14) is the monitoring data by monitoring instrument, successively carries out pollution level analysis, Causes for Pollution analysis, source characteristics analysis
With online source resolution, the source of pollutant is gradually analyzed, showing form includes time series chart, data statistic, factor correlation
A variety of ways of presentation such as property figure, factor concentration area accumulation graph, accounting pie chart；The photochemical pollution analysis (15) is to pass through prison
The monitoring data of instrument are surveyed, pollution level analysis, Causes for Pollution analysis, ozone and precursor relationship, source characteristics are successively carried out
Analysis and online source resolution gradually analyze the source of pollutant, and showing form includes time series chart, data statistic, the factor
A variety of ways of presentation such as dependency graph, factor concentration area accumulation graph, accounting pie chart；
Wherein the HYSPLIT analysis (16) is divided into single-node analysis: providing the air mass source track of same website, different time points
Analysis, can analyze the website is influenced feature by different air mass in different time points.One track of drafting in every three hours, and can
Show or hide is carried out by way of clicking time point；
Multiple spot analysis: providing the backward trajectory analysis figure of multiple spot, can analyze institute's survey region difference point and is come by different air mass
The influence feature in source, while the time series according to PM value can provide the back trajectca-rles figure at time point of interest；
Clustering: clustering is utilized, cluster numbers is voluntarily selected, air mass trajectory is clustered, show each air mass trajectory
Percentage analyzes influence of each air mass trajectory to region.
9. a kind of atmospheric monitoring data express statistic according to claim 8 and Causes for Pollution analysis platform, feature exist
In: the statistical analysis (17) be respectively by frequency histogram, calendar map analysis, Analysis on Pollution Characteristics, time series analysis,
Correlation analysis extracts statistical information feature to monitoring data, carries out Contaminated Data Analysis according to statistical information feature, judges instrument
Device operation and O&M state etc.；The comprehensive analysis (18) is integrated ground meteorologic parameter and environmental monitoring parameter is associated point
Analysis, in combination with ground and weather pattern at high figure, satellite image, HYSPLIT trajectory analysis, particulate matter chemical composition, particle
Material resource parsing result carries out comprehensive analysis, multidimensional, multi-angle comprehensive analyzing and diagnosing heavy air pollution process Causes for Pollution, to heavily contaminated mistake
Journey rapid diagnosis analysis；The Ground-based remote sensing analysis (19) is closed in conjunction with meteorological data near the ground, Conventional pollution monitoring result
Connection analysis.
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| CN110779843A (en) * | 2019-09-30 | 2020-02-11 | 成都市环境保护科学研究院 | Typing analytic system of atmosphere secondary particle pollution process |
| CN111192185A (en) * | 2019-12-31 | 2020-05-22 | 天津智易时代科技发展有限公司 | Pollution tracing analysis method and device |
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