CN109522603A - Vehicle-mounted Lagrangian Real-Time Atmospheric pollution traceability system and method based on cloud platform - Google Patents
Vehicle-mounted Lagrangian Real-Time Atmospheric pollution traceability system and method based on cloud platform Download PDFInfo
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Abstract
The present invention provides a kind of vehicle-mounted Lagrangian Real-Time Atmospheric pollution traceability system and method based on cloud platform, are related to prevention and cure of air pollution technical field.Vehicle-mounted Lagrangian Real-Time Atmospheric pollution traceability system and method based on cloud platform, the high-precision WRF Meteorological Models of high performance cloud platform calculating, Lagrangian particle releasing theory are based on due to constructing, and it is combined closely by design and front end calling platform, GPS positioning system, it constructs a vehicle-mounted mobile and quickly pollutes traceability system, effectively improve relevant departments to quick, the accuracy of emergency event processing capacity and law enforcement.
Description
Technical field
The present invention relates to prevention and cure of air pollution technical fields, and in particular to one kind is based on cloud platform high-performance calculation, carrying
Traceability system and method are polluted in the Lagrangian Real-Time Atmospheric of vehicle-mounted mobile platform.
Background technique
With the development of the social economy, the influence of the industry in city, traffic, electric power, resident living to urban air-quality
Increasingly aggravate.For air quality also increasingly by the concern of numerous people, relevant environment department supervises power to urban atmospheric pollution
It spends increasing.Due to urban industry and expanding economy, the maximization of interests is pursued by enterprise, the absurd regulation for caring for relevant law,
Uncontrollable discharge pollutant remains incessant after repeated prohibition, so pollution tracing technology is that relevant departments' work law enforcement is compeled precisely, quickly, in real time
It is essential and asks.
The Hysplit and Norway's atmosphere that common pattern mainly has Nasa to research and develop currently, Lagrange pollution is traced to the source
The Flexpart of research institute's exploitation, is all based on the particle diffusion model of Lagrangian principle, can discharge particle by calculating
Track come the diffusion of Pollution Study, transmission, not complicated chemical process only considers that meteorologic factor passes through parametrization
To realize accurate, the efficient simulation to atmosphere pollution.The above method passes through input meteorological element data and physical process ginseng
Number setting, carrys out the transmission locus of simulated atmosphere pollutant.Two methods have been widely used in different regions at home
Atmosphere pollution transmission, diffusion research, but since meteorological Grid data is difficult to obtain precisely in real time for different regions, Lagrange
Applying for mode traces to the source aspect using less in the pollution of small scale in real time.
Existing pollution tracing technology and related platform due to nested model is more, process is complex, arithmetic speed is relatively slow,
Spatial resolution is low, forecast result accuracy is low, and supervision of law enforcement department can not in time, accurately, efficiently enforce the law.
Summary of the invention
It is an object of the present invention to provide it is a kind of can quickly, accurately find pollution sources based on the vehicle-mounted of cloud platform
Lagrangian Real-Time Atmospheric pollution traceability system and method.
On the one hand, the present invention provides a kind of, and the vehicle-mounted Lagrangian Real-Time Atmospheric based on cloud platform pollutes traceability system,
Include:
Data processing unit, for collecting the data of predeterminable area and handling the data, the data include
Meteorological Grid data and City Terrain data；
Meteorological Models build unit, for building mesoscale WRF Meteorological Models in cloud platform according to data after processing, with
To meteorological data；
Model construction unit, for discharging mould in cloud platform building Lagrangian particle according to the meteorological data
Type；
Information process unit, the locomotive spatial positional information for the transmission of real-time reception user interactive system is to be worked as
The probability distribution of air mass derived region is polluted in front position, and is fed back to vehicular platform；
Planning unit is calculated for the probability distribution in conjunction with emission inventories and current location pollution air mass derived region
The contribution distribution of potential pollution source region contributes distribution planning and adjusting to walk air route line, locks emission source according to the potential pollution source region；
Statistic unit counts the pollution source regularity of distribution for combining mobile observation Historical Pollution high level.
Optionally, the data collection module is configured to:
By the basic geological study data storage by gridding processing；
It arranges global analysis of data again and extracts meteorological element；
Handle satellite underlying surface type data.
Optionally, the Meteorological Models are built unit and are configured to:
Construct cloud platform Linux operating environment；
Configure cloud platform calculate node resource environment；
Design WRF mode relative parameters setting and Run Script；
Extract and save the gridding four-dimensional data set of output.
Optionally, the model construction unit is configured to:
The format of the meteorological data is converted into Lagrangian model driving ARL format；
The grid precision and range of simulated domain are set, determine the latitude and longitude information on boundary；
It establishes simulated time scheme and particle burst size, particle release simulation duration and pusher step-length is set；
Set the layer heights of roofs, vertical convection parameter and output format of the Lagrangian particle releasing theory.
Optionally, the information process unit is configured to:
The current location information that vehicular platform is sent is received to obtain current movement routine and position longitude and latitude and height and believe
Breath；
The Lagrangian particle releasing theory is according to the longitude and latitude and elevation information moving model to obtain present bit
Set the probability distribution of pollution air mass derived region；
The probability distribution for compressing the pollution air mass derived region is data set, sends it to vehicular platform；
The data set is interpreted, obtains the areal probability distribution in the pollution air mass source with real-time exhibition and according to default
Time interval automatically updates.
Optionally, the planning unit is configured to:
Source of atmospheric pollution emission inventories are arranged to obtain the discharge characteristics information of different industries in predeterminable area；
The tribute of potential pollution source is calculated according to the probability distribution of the pollution air mass derived region and the emission inventories
Offer percentage；
It walks to navigate contamination data according to the analysis of potential pollution source percentage contribution to adjust away air route line close to dirty
With contaminating emission source.
Optionally, the statistic unit is configured to:
Boat observation data, which are walked, based on vehicular platform obtains high pollution slot position information；
By the high pollution period feedback information to Cloud Server, it is based on the mesoscale WRF Meteorological Models and the drawing
The statistics high pollution of Ge Lang particle releasing theory is averaged the pollution source regularity of distribution under state；
Method is checked in conjunction with emission inventories and environment, establishes heavily contaminated event Source Tracing library.
On the other hand, the present invention provides a kind of, and the vehicle-mounted Lagrangian Real-Time Atmospheric based on cloud platform pollutes the side of tracing to the source
Method, comprising:
It collects the data of predeterminable area and the data is handled, the data include meteorological Grid data and city
Terrain data；
Mesoscale WRF Meteorological Models are built in cloud platform according to data after processing, to obtain meteorological data；
Lagrangian particle releasing theory is constructed in the cloud platform according to the meteorological data；
The locomotive spatial positional information of real-time reception user interactive system transmission is to obtain current location pollution air mass
The probability distribution of source region, and fed back to vehicular platform；
Potential pollution source region is calculated in conjunction with the probability distribution of emission inventories and current location pollution air mass derived region
Contribution distribution contributes distribution planning and adjusting to walk air route line, locks emission source according to the potential pollution source region.
Optionally, in conjunction with mobile observation Historical Pollution high level, the pollution source regularity of distribution is counted.
Optionally, the data of predeterminable area are collected and the data are handled, the data include meteorological lattice point number
It include: by the basic geological study data storage by gridding processing according to City Terrain data；Arrange global analysis of data again simultaneously
Extract meteorological element；Handle satellite underlying surface type data；
Mesoscale WRF Meteorological Models are built in cloud platform according to data after processing, include: building cloud to obtain meteorological data
Platform Linux operating environment；Configure cloud platform calculate node resource environment；Design WRF mode relative parameters setting and operation foot
This；Extract and save the gridding four-dimensional data set of output；
Constructing Lagrangian particle releasing theory in the cloud platform according to the meteorological data includes: by the meteorological number
According to format be converted to Lagrangian model driving ARL format；The grid precision and range of simulated domain are set, determine boundary
Latitude and longitude information；It establishes simulated time scheme and particle burst size, particle release simulation duration and pusher step-length is set；If
Layer heights of roofs, vertical convection parameter and the output format of the fixed Lagrangian particle releasing theory；
The locomotive spatial positional information of real-time reception user interactive system transmission is to obtain current location pollution air mass
The probability distribution of source region, and being fed back to vehicular platform includes: to receive the current location information of vehicular platform transmission to obtain
Take current movement routine and position longitude and latitude and elevation information；The Lagrangian particle releasing theory according to the longitude and latitude and
Elevation information moving model is to obtain the probability distribution that air mass derived region is polluted in current location；Compress the pollution air mass source
The probability distribution in region is data set, sends it to vehicular platform；The data set is interpreted, the pollution air mass source is obtained
Areal probability distribution automatically updated with real-time exhibition and according to prefixed time interval；
Potential pollution source region is calculated in conjunction with the probability distribution of emission inventories and current location pollution air mass derived region
Contribution distribution contributes distribution planning and adjusting to walk air route line according to the potential pollution source region, and locking emission source includes: arrangement atmosphere
Discharge of pollutant sources inventory is to obtain the discharge characteristics information of different industries in predeterminable area；According to the pollution air mass derived region
Probability distribution and the emission inventories calculate potential pollution source percentage contribution；According to the potential pollution come source contribution
Percentage analysis walks to navigate contamination data to adjust away air route line with close to disposal of pollutants source；
In conjunction with mobile observation Historical Pollution high level, counting the pollution source regularity of distribution includes: to walk boat based on vehicular platform to see
Measured data obtains high pollution slot position information；By the high pollution period feedback information to Cloud Server, it is based on the middle ruler
Degree WRF Meteorological Models and Lagrangian particle releasing theory statistics high pollution are averaged the pollution source regularity of distribution under state；Knot
It closes emission inventories and environment checks method, establish heavily contaminated event Source Tracing library.
Vehicle-mounted Lagrangian Real-Time Atmospheric pollution traceability system and method based on cloud platform of the invention, due to constructing
High-precision WRF Meteorological Models, Lagrangian particle releasing theory are calculated based on high performance cloud platform, and through design with before
End calling platform, GPS positioning system are combined closely, and are constructed a vehicle-mounted mobile and are quickly polluted traceability system, effectively improve correlation
Quick, accuracy of the department to emergency event processing capacity and law enforcement.
Further, vehicle-mounted Lagrangian Real-Time Atmospheric pollution traceability system (CRV-LPDM) based on cloud platform can be more
For tracking, the pollution track origin analysis for fast and accurately realizing contamination sources, strong real-time is intuitive quick, compares other moulds
Formula system, improves user to the quick judgement of result, for user improve air quality safeguard science and
Specific aim.Traditional air pollution traceability system response speed is slow, resolution ratio is lower, timeliness is poor, cannot timely track
The practical directive significance of pollution carried out source distribution, lack to air quality guarantee and pollution control, and CRV-LPDM air pollution
Quick traceability system overcomes these disadvantages on the basis of tradition pollutes traceability system.
According to the following detailed description of specific embodiments of the present invention in conjunction with the accompanying drawings, those skilled in the art will be brighter
The above and other objects, advantages and features of the present invention.
Detailed description of the invention
Some specific embodiments of the present invention is described in detail by way of example and not limitation with reference to the accompanying drawings hereinafter.
Identical appended drawing reference denotes same or similar part or part in attached drawing.It should be appreciated by those skilled in the art that these
What attached drawing was not necessarily drawn to scale.In attached drawing:
Fig. 1 is the vehicle-mounted Lagrangian Real-Time Atmospheric pollution side of tracing to the source according to an embodiment of the invention based on cloud platform
The schematic flow chart of method.
Specific embodiment
The present embodiment be with the technical scheme is that on the basis of carry out, give specific operating method and in detail
Calculating process, but protection scope of the present invention is not limited to following embodiments.Fig. 1 is according to an embodiment of the invention
The schematic flow chart of vehicle-mounted Lagrangian Real-Time Atmospheric pollution source tracing method based on cloud platform.As shown in Figure 1,
The present embodiment basic procedure is as follows:
1) collection processing needs the meteorological Grid data and City Terrain data in region；
2) mesoscale WRF Meteorological Models of new generation are built in cloud platform；
3) Lagrangian particle release mode is constructed, when parameter setting includes particle release altitude, simulated time section, pusher
Between step-length, output time step etc.；
4) user interactive system is constructed, obtains locomotive spatial positional information, second grade feedback pollution air mass source point in real time
Cloth feature；
5) emission inventories and the contribution distribution of potential pollution source region, planning and adjusting are combined to walk air route line, further locking discharge
Source；
6) mobile observation Historical Pollution high level is combined, the pollution source regularity of distribution is counted.
Step 1) processing needs the meteorological Grid data and City Terrain data in region, comprises the following processes:
(1) the gridding processing of basic geological study data, determines simulated domain Terrain Elevation feature, difference tessellated mesh point
Graphic data, adjustment resolution ratio and meteorologic model and Lagrange trace to the source model application unanimously.
(2) whole world again analysis of data arrange and meteorological element extract, including conventional weather station observation data wind speed, wind direction,
Temperature, humidity, air pressure etc. arrange the backgrounds such as global prediction field GFS, European Meteorological Center ECMWF and drive field data.
(3) satellite underlying surface type data processing is based on Remote sensing parameters inverting and data processing algorithm, and calculating includes soil
Covering, leaf area index, albedo, snow cover and normalized differential vegetation index data set input optimizing forecast model system.
Step 2) builds mesoscale WRF Meteorological Models of new generation in cloud platform, specifically includes: building cloud platform Linux behaviour
Make environment；Configure cloud platform calculate node resource environment；Design WRF mode relative parameters setting and Run Script；WRF pattern count
According to preprocessing system building (WPS system) mainly include three parts, be ungrid, metgrid, geogrid module respectively
Building.Detailed process is: define simulated domain or nested grid regional scope, determine map projection and lattice point longitude and latitude parameter,
Corresponding meteorological data is interpolated into corresponding net region, the Underlying Surface Data of simulated domain is interpolated into corresponding grid number
In.Extract and save the gridding four-dimensional data set of output.
The building of Lagrangian particle release mode described in step 3) specifically includes that
(1) meteorological data format is converted to Lagrangian model driving ARL format.Specifically including, which can be realized to export, specifies
The following 2 days meteorological datas in region, the factors such as wind speed, wind direction, temperature, humidity, air pressure of meteorological field, by MCIP by mesoscale
The output file format of mode changes into the data format etc. that Lagrangian particle release mode can identify.
(2) grid precision and the range setting of simulated domain, is arranged four layers of nested modeling scheme, and outermost layer covering China is big
Some areas and east ocean area, resolution ratio 35km；The second layer covers East China, resolution ratio 12km.Third
Layer is given city and surrounding area, resolution ratio 3km；4th layer is given city region, resolution ratio 1km.
(3) particle burst size is set as 100-1000, establishes simulated time scheme, the particle release simulation duration and after
Push away step-length.Time sets including setting the pusher time as 2 hours, and output of products time step is 1 hour.
(4) setting model layer heights of roofs and vertical diffusion scheme and output format.Simulation vertical demixing be 100m,
500m, 1000m, mode headroom height are 10000m.Output gridded format file, including initial time, pusher step-length are gentle
Group's source probability distribution information.
Step 4) constructs user interactive system, obtains locomotive spatial positional information, second grade feedback pollution air mass in real time
Source distribution feature specifically includes following process:
(1) starting locomotive carries radio transmission apparatus, sends location information to the Cloud Server in real time, and acquisition is worked as
Preceding movement routine and position longitude and latitude and elevation information, and store backup basis of formation space mobile message data set.
(2) the cloud platform Lagrange traces to the source model according to the longitude and latitude and elevation information of feedback, and moving model obtains
Pollute air mass derived region probability distribution in current location.Given longitude and latitude is traced to the source 2 hours air pollution source probability distribution of pusher,
The time that the stagnant particle of accumulative particle is resident in each three-dimensional grid is calculated according to the actual situation.Below extracted 100m height
Air mass residence time, arrangement calculating is carried out using statistical method, obtain influence ground pollution conveying release particle sky
Between probability distribution.
(3) compression pollution air mass source distributed data collection, specifically stops in the grid of each 500*500m according to particle
The spatial distribution data of time and quantity is stayed, the resulting data information of data collection system carries out storage backup, from Cloud Server
It is sent to vehicular platform.
(4) data set is interpreted, Qian sewage is obtained and contaminates source distributing position information, GIS platform real-time exhibition is based on, according to setting
Fixed time interval automatically updates.NC formatted file, while the Source Data Acquisition system are translated by Fortran program
System obtains the NC formatted file that data list sorts out each contamination accident, and the Source Data Acquisition system is obtained more parts of NC lattice
The data packet of formula file is carried out to analysis.Can under topographic map mode it is lower realize trace to the source in real time, manually locate trace to the source, history rail
Mark inquiry and contamination monitoring system building.
Step 5) combines emission inventories and the contribution distribution of potential pollution source region, planning and adjusting to walk air route line, further lock
Emission source specifically includes:
(1) source of atmospheric pollution emission inventories are arranged, different industries discharge characteristics information in region is obtained.According to the actual situation
It is divided into different zones, different resolution and different industries, includes industry, agricultural, five major class source of power plant, traffic and resident living
Discharge.
(2) potential pollution source percentage contribution is calculated according to pollution air mass source probability distribution combination emission inventories.It builds
Every profession and trade in the pollutant concentration and inventory of simulation is calculated in the vertical potential source region database of pollutant, reading database data
For the contribution amount of pollutant concentration.
(3) contamination data of navigating is walked in analysis, can be solved to the source of specific time, specified place different type air pollution
Analysis, other regional, regional counterweight contaminated areas atmosphere quality outside city contribution rates of output city, and influence pollution atmosphere
Major pollutants type forms such as PM2.5, fugitive dust, SO2 and the contribution rate respectively formed, so that it is big to analyze identification pollution contribution
Family.Distribution of tracing to the source is polluted according to periphery emission behaviour and Lagrange, air route line, Step wise approximation disposal of pollutants source are walked in design adjustment
Ground.
Step 6) combines mobile observation Historical Pollution high level, counts the pollution source regularity of distribution, specifically includes that
(1) boat observation data are walked based on vehicular platform and obtains high pollution slot position information, characteristic contamination may be selected, such as
Fine particle is more than that certain critical field is set as the high pollution period.
(2) selection high pollution period feedback information is to Cloud Server, based on Cloud Server WRF gridding meteorology and glug
Bright day Real-time Network is formatted data set of tracing to the source, and the inspection of retrieval and inquisition history is traced to the source data, and statistics high pollution is averaged pollution source under state
The regularity of distribution.
(3) it combines emission inventories and environment to check method, integrates website monitoring and mobile monitoring data, the data acquisition
System includes acquisition Public meteorology monitoring point and other available acquisition terminals, and the data collection system is for summarizing pollution
Source data reports to cloud platform；The acquisition terminal and cloud platform are using wireless communication progress information transmission；Mobile monitoring access
It can be realized after GPS and show position and the monitoring air quality data information of mobile monitoring equipment in system.Further establish weight
Contamination accident Source Tracing library obtains observation data, distortion verification, finishing analysis, analogue observation comparison, and then not same district in real time
The source data inventory in domain optimizes adjustment, transfers the storing data of cloud platform, and the pollution that timely updates is traced to the source important factor library.
The systems and methods are bright by mesoscale WRF Meteorological Models and glug of the building based on high-performance cloud computing platform
Day particle release mode, in conjunction with GPS positioning system and front end interaction platform, Lai Shixian Small and Medium Sized air pollution source analysis and
Calculate source percentage contribution, be mainly used in Security ensuring of important activities pollution cruise trace to the source, Small and Medium Sized Causes for Pollution source point
Analysis.
Further, vehicle-mounted Lagrangian Real-Time Atmospheric pollution traceability system (CRV-LPDM) based on cloud platform can be more
For tracking, the pollution track origin analysis for fast and accurately realizing contamination sources, strong real-time is intuitive quick, compares other moulds
Formula system, improves user to the quick judgement of result, for user improve air quality safeguard science and
Specific aim.Traditional air pollution traceability system response speed is slow, resolution ratio is lower, timeliness is poor, cannot timely track
The practical directive significance of pollution carried out source distribution, lack to air quality guarantee and pollution control, and CRV-LPDM air pollution
Quick traceability system overcomes these disadvantages on the basis of tradition pollutes traceability system.
CRV-LPDM model can provide the air mass derived region of receptor site, while provide percentage contribution.It can define
The regions such as city, cities and towns, garden for receptor point pollution contribution situation, thus for take regional pollution control measure provide according to
According to avoiding passing through the environment for carrying out in big regional scope industry limited production or halt production measure blindly to ensure particular time sensitizing range
Air quality reduces the implementation cost of air quality safeguard while guaranteeing air quality safeguard validity.
On the other hand, the vehicle-mounted Lagrangian Real-Time Atmospheric pollution based on cloud platform that the present invention also provides a kind of, which is traced to the source, is
System, comprising:
Data processing unit, for collecting the data of predeterminable area and handling the data, the data include
Meteorological Grid data and City Terrain data；
Meteorological Models build unit, for building mesoscale WRF Meteorological Models in cloud platform according to data after processing, with
To meteorological data；
Model construction unit, for discharging mould in cloud platform building Lagrangian particle according to the meteorological data
Type；
Information process unit, the locomotive spatial positional information for the transmission of real-time reception user interactive system is to be worked as
The probability distribution of air mass derived region is polluted in front position, and is fed back to vehicular platform；
Planning unit is calculated for the probability distribution in conjunction with emission inventories and current location pollution air mass derived region
The contribution distribution of potential pollution source region contributes distribution planning and adjusting to walk air route line, locks emission source according to the potential pollution source region；
Statistic unit counts the pollution source regularity of distribution for combining mobile observation Historical Pollution high level.
So far, although those skilled in the art will appreciate that present invention has been shown and described in detail herein multiple shows
Example property embodiment still without departing from the spirit and scope of the present invention, still can according to the present disclosure directly
Determine or deduce out many other variations or modifications consistent with the principles of the invention.Therefore, the scope of the present invention is understood that and recognizes
It is set to and covers all such other variations or modifications.
Claims (10)
1. a kind of vehicle-mounted Lagrangian Real-Time Atmospheric based on cloud platform pollutes traceability system characterized by comprising
Data processing unit, for collecting the data of predeterminable area and handling the data, the data include meteorology
Grid data and City Terrain data；
Meteorological Models build unit, for building mesoscale WRF Meteorological Models in cloud platform according to data after processing, to obtain gas
Image data；
Model construction unit, for constructing Lagrangian particle releasing theory in the cloud platform according to the meteorological data；
Information process unit, the locomotive spatial positional information for the transmission of real-time reception user interactive system is to obtain present bit
The probability distribution of pollution air mass derived region is set, and is fed back to vehicular platform；
Planning unit calculates potential for the probability distribution in conjunction with emission inventories and current location pollution air mass derived region
Pollution source area contribution distribution contributes distribution planning and adjusting to walk air route line, locks emission source according to the potential pollution source region；
Statistic unit counts the pollution source regularity of distribution for combining mobile observation Historical Pollution high level.
2. Real-Time Atmospheric according to claim 1 pollutes traceability system, which is characterized in that the data collection module configuration
At:
By the basic geological study data storage by gridding processing；
It arranges global analysis of data again and extracts meteorological element；
Handle satellite underlying surface type data.
3. Real-Time Atmospheric according to claim 1 pollutes traceability system, which is characterized in that the Meteorological Models build unit
It is configured to:
Construct cloud platform Linux operating environment；
Configure cloud platform calculate node resource environment；
Design WRF mode relative parameters setting and Run Script；
Extract and save the gridding four-dimensional data set of output.
4. Real-Time Atmospheric according to claim 1 pollutes traceability system, which is characterized in that the model construction unit configuration
At:
The format of the meteorological data is converted into Lagrangian model driving ARL format；
The grid precision and range of simulated domain are set, determine the latitude and longitude information on boundary；
It establishes simulated time scheme and particle burst size, particle release simulation duration and pusher step-length is set；
Set the layer heights of roofs, vertical convection parameter and output format of the Lagrangian particle releasing theory.
5. Real-Time Atmospheric according to claim 1 pollutes traceability system, which is characterized in that the information process unit configuration
At:
The current location information of vehicular platform transmission is received to obtain current movement routine and position longitude and latitude and elevation information；
The Lagrangian particle releasing theory obtains current location dirt according to the longitude and latitude and elevation information moving model
Contaminate the probability distribution of air mass derived region；
The probability distribution for compressing the pollution air mass derived region is data set, sends it to vehicular platform；
The data set is interpreted, obtains the areal probability distribution in the pollution air mass source with real-time exhibition and according to preset time
Interval automatically updates.
6. Real-Time Atmospheric according to claim 1 pollutes traceability system, which is characterized in that the planning unit is configured to:
Source of atmospheric pollution emission inventories are arranged to obtain the discharge characteristics information of different industries in predeterminable area；
Potential pollution is calculated according to the probability distribution of the pollution air mass derived region and the emission inventories come source contribution hundred
Divide ratio；
It walks to navigate contamination data according to the analysis of potential pollution source percentage contribution to adjust away air route line close to pollution row
With putting source.
7. Real-Time Atmospheric according to claim 1 pollutes traceability system, which is characterized in that the statistic unit is configured to:
Boat observation data, which are walked, based on vehicular platform obtains high pollution slot position information；
It is bright based on the mesoscale WRF Meteorological Models and the glug by the high pollution period feedback information to Cloud Server
The statistics high pollution of day particle releasing theory is averaged the pollution source regularity of distribution under state；
Method is checked in conjunction with emission inventories and environment, establishes heavily contaminated event Source Tracing library.
8. a kind of vehicle-mounted Lagrangian Real-Time Atmospheric based on cloud platform pollutes source tracing method characterized by comprising
It collects the data of predeterminable area and the data is handled, the data include meteorological Grid data and City Terrain
Data；
Mesoscale WRF Meteorological Models are built in cloud platform according to data after processing, to obtain meteorological data；
Lagrangian particle releasing theory is constructed in the cloud platform according to the meteorological data；
The locomotive spatial positional information of real-time reception user interactive system transmission is to obtain current location pollution air mass source area
The probability distribution in domain, and fed back to vehicular platform；
The contribution of potential pollution source region is calculated in conjunction with the probability distribution of emission inventories and current location pollution air mass derived region
Distribution contributes distribution planning and adjusting to walk air route line, locks emission source according to the potential pollution source region.
9. Real-Time Atmospheric according to claim 8 pollutes source tracing method, which is characterized in that further include:
In conjunction with mobile observation Historical Pollution high level, the pollution source regularity of distribution is counted.
10. Real-Time Atmospheric according to claim 9 pollutes source tracing method, which is characterized in that
It collects the data of predeterminable area and the data is handled, the data include meteorological Grid data and City Terrain
Data include: by the basic geological study data storage by gridding processing；It arranges global analysis of data again and extracts meteorological element；
Handle satellite underlying surface type data；
Mesoscale WRF Meteorological Models are built in cloud platform according to data after processing, include: building cloud platform to obtain meteorological data
Linux operating environment；Configure cloud platform calculate node resource environment；Design WRF mode relative parameters setting and Run Script；It mentions
Take and save the gridding four-dimensional data set of output；
Constructing Lagrangian particle releasing theory in the cloud platform according to the meteorological data includes: by the meteorological data
Format is converted to Lagrangian model driving ARL format；The grid precision and range of simulated domain are set, determine the longitude and latitude on boundary
Spend information；It establishes simulated time scheme and particle burst size, particle release simulation duration and pusher step-length is set；Setting institute
State the layer heights of roofs, vertical convection parameter and output format of Lagrangian particle releasing theory；
The locomotive spatial positional information of real-time reception user interactive system transmission is to obtain current location pollution air mass source area
The probability distribution in domain, and being fed back to vehicular platform includes: to receive the current location information that vehicular platform is sent to work as to obtain
Preceding movement routine and position longitude and latitude and elevation information；The Lagrangian particle releasing theory is according to the longitude and latitude and height
Information moving model is to obtain the probability distribution that air mass derived region is polluted in current location；Compress the pollution air mass derived region
Probability distribution be data set, send it to vehicular platform；The data set is interpreted, the area in the pollution air mass source is obtained
Domain probability distribution is automatically updated with real-time exhibition and according to prefixed time interval；
The contribution of potential pollution source region is calculated in conjunction with the probability distribution of emission inventories and current location pollution air mass derived region
Distribution contributes distribution planning and adjusting to walk air route line according to the potential pollution source region, and locking emission source includes: arrangement atmosphere pollution
Source emission inventory is to obtain the discharge characteristics information of different industries in predeterminable area；According to the general of the pollution air mass derived region
Rate distribution and the emission inventories calculate potential pollution source percentage contribution；According to the potential pollution come source contribution percentage
It walks to navigate contamination data than analysis to adjust away air route line with close to disposal of pollutants source；
In conjunction with mobile observation Historical Pollution high level, counting the pollution source regularity of distribution includes: to walk boat observation number based on vehicular platform
According to acquisition high pollution slot position information；By the high pollution period feedback information to Cloud Server, it is based on the mesoscale WRF
Meteorological Models and Lagrangian particle releasing theory statistics high pollution are averaged the pollution source regularity of distribution under state；In conjunction with discharge
Inventory and environment check method, establish heavily contaminated event Source Tracing library.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105300862A (en) * | 2015-11-13 | 2016-02-03 | 金陵科技学院 | Cloud processing-based vehicle-mounted mobile atmosphere particle pollutant environment detection method and system |
| CN106295905A (en) * | 2016-08-22 | 2017-01-04 | 南京大学 | A kind of air quality based on Lagrange conveying model is quickly traced to the source forecasting procedure |
| CN108426818A (en) * | 2018-05-31 | 2018-08-21 | 深圳大图科创技术开发有限公司 | A kind of pollutant observation system |
-
2018
- 2018-10-18 CN CN201811214567.3A patent/CN109522603B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105300862A (en) * | 2015-11-13 | 2016-02-03 | 金陵科技学院 | Cloud processing-based vehicle-mounted mobile atmosphere particle pollutant environment detection method and system |
| CN106295905A (en) * | 2016-08-22 | 2017-01-04 | 南京大学 | A kind of air quality based on Lagrange conveying model is quickly traced to the source forecasting procedure |
| CN108426818A (en) * | 2018-05-31 | 2018-08-21 | 深圳大图科创技术开发有限公司 | A kind of pollutant observation system |
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