CN110472782A - A kind of data determination method, device, equipment and storage medium - Google Patents
A kind of data determination method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of data determination method, device, equipment and storage mediums.This method comprises: obtaining the weather prognosis data in the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases, and meteorological field information is determined according to the weather prognosis data；Obtain each discharge of pollutant sources data of each monitoring station；The Air Quality Forecast data of each pollutant of each pollution sources of each monitoring station are determined according to the meteorological field information and each discharge of pollutant sources data.The technical solution of the embodiment of the present invention, it solves the problems, such as computational valid time difference caused by the constraint of calculating time existing in the prior art and evaluation method and the calculating of quantity pollution sources can only be fixed, to realize, accurately multicore is calculated, and fast synergistic calculates and outcome data is shared.
Description
Technical field
The present embodiments relate to digital atmosphere technical field more particularly to a kind of data determination method, device, equipment and
Storage medium.
Background technique
Digital atmosphere, using the physical model system of science, is realized in conjunction with artificial intelligence in height on the basis of big data
Virtual atmospheric environment is established under performance computing platform, realizes the accurate simulation to Real Atmosphere environment.After digital atmosphere is built up,
, using means such as prediction, simulation or evaluations, decision-making foundation will be provided for atmosphere improvement by Intelligent Calculation.
Eco-environmental management department, China in order to preferably improve environment, often to even daily weekly meteorological condition or
Weather forecast Air Quality Forecast data, with reasonable arrangement work plan and emergency plan under DIFFERENT METEOROLOGICAL CONDITIONS.
Air quality is predicted usually using CALPUFF mode in the prior art, CALPUFF is that a kind of non-to determine field big
Gas pollutant cigarette group diffusion calculating mode is the directive/guide mode that Environmental Protection in America portion and Eco-environmental Issues in China portion are recommended, the mode
Advantage is the influence that can calculate time-varying meteorological field to air pollution diffusion, and considers primary pollution and secondary pollution, landform
With effect on building and sedimentation and different pollutants diffusion coefficient, so, be used widely in environmental impact assessment.
But only monokaryon is supported to calculate before the type order, the calculating time is longer, answers for the not high air quality consulting of time sensitivity
It is not influenced in, but is unable to satisfy the demand to the exigent air quality management business of computational valid time；In addition, should
Constraint of the mode by evaluation method, limits the calculating that quantity pollution sources can only be fixed, for example, calculating 200
The Air Quality Forecast data of pollution sources, can manually compute environmental impact assessment Application Engineer, and to difference
Calculated result summarized, but air quality management business is just needed directly to calculate not by manual intervention
Obtain result.
Summary of the invention
The embodiment of the present invention provides a kind of data determination method, device, equipment and storage medium, to realize accurately multicore
It calculates, fast synergistic calculates and outcome data is shared.
In a first aspect, the embodiment of the invention provides a kind of data determination methods, this method comprises:
The weather prognosis data in the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases are obtained, and according to the gas
As prediction data determines meteorological field information；
Obtain each discharge of pollutant sources data of each monitoring station；
Each dirt of each monitoring station is determined according to the meteorological field information and each discharge of pollutant sources data
The Air Quality Forecast data of each pollutant in dye source.
Further, the weather prognosis data in the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases, packet are obtained
It includes:
The meteorological Numerical Prediction Models data downloaded in advance are obtained, the meteorology Numerical Prediction Models data are gone through including meteorology
The geo-spatial data in the geographical location of history data and each monitoring station；
It is determined according to the meteorological historical data and the geo-spatial data each in the Atmosphere Environment Monitoring System Bases
The weather prognosis data in the geographical location of monitoring station.
Further, meteorological field information is determined according to the weather prognosis data, comprising:
Obtain the conventional ground observation data and raob data in the geographical location of each monitoring station；
According to the weather prognosis data, the geo-spatial data, conventional ground observation data and the sounding
Observation data determine the meteorological field information.
Further, according to the weather prognosis data, the geo-spatial data, the conventional ground observation data and
The raob data determine the meteorological field information, comprising:
By Diagnosis Field computation model to the weather prognosis data, the geo-spatial data and the conventional ground
Observation data, which are adjusted, generates first step wind field；
The meteorological field information is calculated according to the first step wind field and the raob data.
Further, each discharge of pollutant sources data of each monitoring station are obtained, comprising:
According to each pollutant emission of each pollution sources of each monitoring station pre-stored in local storage
Inventory determines each discharge of pollutant sources data of each monitoring station.
Further, each monitoring station is determined according to the meteorological field information and each discharge of pollutant sources data
Each pollution sources each pollutant Air Quality Forecast data, comprising:
Pass through air quality mould according to each discharge of pollutant sources data in the meteorological field information and each pollution sources
Type determines the Air Quality Forecast data of each pollutant in each pollution sources；
Each monitoring station is determined according to the Air Quality Forecast data of each pollutant in each pollution sources
Each pollution sources each pollutant Air Quality Forecast data.
Further, the Air Quality Forecast data of each monitoring station are each pollutants of each pollution sources
Mass concentration the case where changing over time, and the case where mass concentration is changed over time, is shown by independent window
On the map of Atmosphere Environment Monitoring System Bases.
Second aspect, the embodiment of the invention also provides a kind of data determining device, which includes:
Meteorological field information determination module, for obtaining the gas in the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases
Meteorological field information is determined as prediction data, and according to the weather prognosis data；
Discharge of pollutant sources data acquisition module, for obtaining each discharge of pollutant sources data of each monitoring station；
Air Quality Forecast data determining module, for according to the meteorological field information and each discharge of pollutant sources number
According to the Air Quality Forecast data of each pollutant of each pollution sources of determination each monitoring station.
The third aspect, the embodiment of the invention also provides a kind of equipment, which includes:
One or more processors；
Storage device, for storing multiple programs,
When at least one of the multiple program by one or more of processors execute when so that it is one or
Multiple processors realize a kind of data determination method provided by first aspect present invention embodiment.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes a kind of data determination method provided by first aspect present invention embodiment when the program is executed by processor.
The weather prognosis that the embodiment of the present invention passes through the geographical location of each monitoring station in acquisition Atmosphere Environment Monitoring System Bases
Data, and meteorological field information is determined according to the weather prognosis data；Obtain each discharge of pollutant sources of each monitoring station
Data；Each pollution sources of each monitoring station are determined according to the meteorological field information and each discharge of pollutant sources data
Each pollutant Air Quality Forecast data.Solve calculating time existing in the prior art and evaluation method
Computational valid time caused by constraint is poor and the problem of quantity pollution sources calculate can only be fixed, to realize in terms of accurately multicore
It calculates, fast synergistic calculates and outcome data is shared.
Detailed description of the invention
Fig. 1 is a kind of flow chart for data determination method that the embodiment of the present invention one provides；
Figure 1A is the schematic diagram that illustrative digital atmosphere prototype system provided in an embodiment of the present invention is constituted；
Figure 1B is the flow chart that illustrative digital atmosphere prototype system function provided in an embodiment of the present invention is realized；
Fig. 1 C is the illustrative flow chart for obtaining weather prognosis data provided in an embodiment of the present invention；
Fig. 2 is a kind of flow chart of data determination method provided by Embodiment 2 of the present invention；
Fig. 2A is the calculation flow chart of illustrative Diagnosis Field computation model provided in an embodiment of the present invention；
Fig. 3 is a kind of structure chart for data determining device that the embodiment of the present invention three provides；
Fig. 4 is a kind of hardware structural diagram for equipment that the embodiment of the present invention four provides.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawing to of the invention specific real
Example is applied to be described in further detail.It is understood that specific embodiment described herein is used only for explaining the present invention,
Rather than limitation of the invention.
It also should be noted that only the parts related to the present invention are shown for ease of description, in attached drawing rather than
Full content.It should be mentioned that some exemplary embodiments are described before exemplary embodiment is discussed in greater detail
At the processing or method described as flow chart.Although operations (or step) are described as the processing of sequence by flow chart,
It is that many of these operations can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations can be by again
It arranges.The processing can be terminated when its operations are completed, it is also possible to have the additional step being not included in attached drawing.
The processing can correspond to method, function, regulation, subroutine, subprogram etc..
Embodiment one
Fig. 1 is a kind of flow chart for data determination method that the embodiment of the present invention one provides, and the present embodiment is applicable to
Computational valid time requires high and the case where directly do not calculate available result automatically in the case of by manual intervention, and this method can be with
It is executed by data determining device, which can realize according to software/hardware, specifically comprise the following steps:
S110, the weather prognosis data for obtaining the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases, and according to
The weather prognosis data determine meteorological field information.
Wherein, Atmosphere Environment Monitoring System Bases are digital atmosphere prototype system, using the prototype system by constantly building void
Quasi- scene and input test data, with to digital atmospheric model various functions and performance etc. test when use.Prototype system
System function consists of three parts, and is frame, consistency operation function and displaying analytic function respectively, wherein frame refers to system frame
Components, the consistency operation function such as frame and model calculating refer to that those skilled in the art modify to the data in prototype system
Or the function of configuration, show that analytic function refers to various displayings, analysis and friendship by the result after prototype model calculation processing
Mutually.The schematic diagram constituted as shown in Figure 1A for illustrative digital atmosphere prototype system provided in an embodiment of the present invention, such as Figure 1B
It is shown the flow chart that illustrative digital atmosphere prototype system function provided in an embodiment of the present invention is realized, Figure 1A and Figure 1B are only
For the exemplary illustration of Atmosphere Environment Monitoring System Bases, rather than this is limited.
The form that monitoring station generallys use power supply is appeared in and is shown on the map of Atmosphere Environment Monitoring System Bases, can be supported
The addition that specific location realizes monitoring station is clicked by those skilled in the art on map, while can also be to the base of existing monitoring station
This information carries out the operation such as editing, or carries out the operation such as dragging to the position of existing monitoring station, according to the actual situation to prison
Survey station is operated.On the map of Atmosphere Environment Monitoring System Bases, some monitoring station is clicked, it can be seen that the monitoring station being clicked
Essential information, for example, the geographical location information of monitoring station, it can also be seen that the true real-time monitoring number for the monitoring station being clicked
According to Historical Monitoring data, it is further seen that the following several days prediction data in the monitoring station that is clicked and a variety of emission inventories
The comparison of prediction data.
Specifically, weather prognosis data may include ground meteorological data and aerological data etc., weather prognosis data
It can be based on third generation Meso-scale meteorology Numerical Prediction Models (Weather Research Forecast, abbreviation WRF), downloading
Global monitoring data 30 days, meteorological simulation was calculated as a result, again by the meteorological simulation result via examining in starting WRF mode operation
It after disconnected wind field mode adjustment, obtains that resolution ratio is higher and the meteorological field information in the geographical location of monitoring station corresponding to capable of react, has
The flow chart that body obtains weather prognosis data is as shown in Figure 1 C.Wherein it is possible to 30 days meteorological fields of WRF mode computation, wherein
It is set as within first 23 days monitoring data, latter 7 days are prediction data, and 27,9,3 kilometers of spatial resolution meteorological field, Diagnosis Field 1 is public
In, temporal resolution 1 hour.
S120, each discharge of pollutant sources data for obtaining each monitoring station.
Specifically, each discharge of pollutant sources data can be obtained by the Pollution Source Monitorings equipment such as on-line monitoring equipment
It takes, can also be provided by the relevant departments such as local government or enterprise or unit, it is not limited by the embodiments of the present invention.
The pollution factor of the calculating of pollution sources common at present includes: PM2.5, PM10, SO2、NOxAnd O3。
Illustratively, by taking certain districts and cities as an example, discharge of pollutant sources data are using the current year that can be provided by local government
Discharge of pollutant sources inventory, local primary pollution source known in discharge of pollutant sources inventory include sulfur dioxide, nitrogen oxides,
Grain object PM10, fine particle PM2.5, VOC and carbon monoxide etc., also show main industries pollution sources in discharge of pollutant sources inventory
Emission behaviour, including fossil fuel stationary combustion source, technological source, moving source, solvent use source, agricultural sources and fugitive dust source
Deng.Wherein, fossil fuel stationary combustion source and technological source cover local priority industry industry, mainly include electric heating,
The industries such as Industrial Boiler, civil boiler, steel, cement, chemical industry and chemical fiber, glass and coking；Moving source include road moving source and
Non-rice habitats moving source, fugitive dust source include soil fugitive dust, dust on the roads, construction fugitive dust and stockyard fugitive dust etc..
S130, each of each monitoring station is determined according to the meteorological field information and each discharge of pollutant sources data
The Air Quality Forecast data of each pollutant of a pollution sources.
Specifically, the Air Quality Forecast data of each pollutant of each pollution sources are each of each pollution sources
The case where mass concentration of pollutant changes over time, and the case where mass concentration is changed over time, passes through independent window
It is shown on the map of Atmosphere Environment Monitoring System Bases.Meanwhile if clicking on right side selection on the map of Atmosphere Environment Monitoring System Bases
Switch data can switch the Air Quality Forecast for wanting to check as a result, including PM2.5, PM10, SO2, NOx, O3 and AQI etc.
Value face figure.The Air Quality Forecast data shown all use earth's surface layer data to show.In the map of Atmosphere Environment Monitoring System Bases
Arbitrary point on upper click map can show the time change situation of this Air Quality Forecast data.In addition, in atmosphere
The map interface lower part having time item of environmental monitoring system, can choose any time period or time in the following given number of days
Length, the figure on the map of Atmosphere Environment Monitoring System Bases will be switched to the time, and on the ground of Atmosphere Environment Monitoring System Bases
The Air Quality Forecast data of acceptable automatic playing animation version on figure.Further, in each dirt for obtaining each pollution sources
After the Air Quality Forecast data for contaminating object, the alarm setting for carrying out suddenly accident, specific embodiment party can according to need
Formula is to increase a current date, and a date will be selected within 7 days futures, then compares the air quality monitoring data on the date
With Air Quality Forecast data, if air quality monitoring data and Air Quality Forecast data differences are more than in a certain range,
Such as 50%, which can be configured according to the actual situation by those skilled in the art, then issues suddenly accident early warning
Warning, and on the map for being shown in Atmosphere Environment Monitoring System Bases in the form of highlighted.
The weather prognosis that the embodiment of the present invention passes through the geographical location of each monitoring station in acquisition Atmosphere Environment Monitoring System Bases
Data, and meteorological field information is determined according to the weather prognosis data；Obtain each discharge of pollutant sources of each monitoring station
Data；Each pollution sources of each monitoring station are determined according to the meteorological field information and each discharge of pollutant sources data
Each pollutant Air Quality Forecast data.Solve calculating time existing in the prior art and evaluation method
Computational valid time caused by constraint is poor and the problem of quantity pollution sources calculate can only be fixed, to realize in terms of accurately multicore
It calculates, fast synergistic calculates and outcome data is shared.
Embodiment two
Fig. 2 is a kind of flow chart of data determination method provided by Embodiment 2 of the present invention.The present embodiment is with above-mentioned implementation
It is optimized based on example.
Correspondingly, the method for the present embodiment specifically includes:
The meteorological Numerical Prediction Models data that S210, acquisition are downloaded in advance, the meteorology Numerical Prediction Models data include
The geo-spatial data in the geographical location of meteorological historical data and each monitoring station.
Specifically, meteorological historical data is the simulation meteorological to history using the meteorological data that analysis of data obtains again, it is
It is produced jointly by Environmental forecasting centre and American National Center for Atmospheric Research and is issued and forecast in Environmental
The global lattice point data of center official website are right using current state-of-the-art global data assimilation system and perfect database
The observational data of various data source (such as ground, ship, radio sounding or satellite) carries out quality control and assimilation processing,
It is time more when having, density is big, continuity is strong, resolution ratio is higher, abundant in content etc. to obtain the analysis of data again of complete set
Feature can effectively make up deficiency of the conventional observation in terms of diastrous weather analysis.The space of meteorological historical data point
Resolution is 1 ° × 1 °, and temporal resolution is 6 hours, and 0,6,12,18 4 time of daily universal time does global metadata point
Analysis.Meteorological historical data content includes the contents such as air pressure, temperature, relative humidity and rainfall.The data format be divided into GRIB1 and
Two kinds of GRIB2, wherein GRIB1 data time is from 1999.07.30 to 2007.12.06, and GRIB2 data time is from 2007.12.06
And continuous updating so far,.The meteorological historical data format provided in the embodiment of the present invention is GRIB2.
Geo-spatial data includes: landform altitude, land use pattern and other underlying surface information etc..Landform altitude is
GTOP030, resolution ratio 30 "；Land use pattern data are divided into USGS and MODIS, wherein USGS includes the soil of 24 seed types
Ground type, MODIS include 20 kinds of land types, satellite land cover pattern product information, resolution ratio highest 30 "；Other underlying surface numbers
According to including vegetation pattern, soil types, soil moisture and soil texture etc..
S220, it is determined in the Atmosphere Environment Monitoring System Bases according to the meteorological historical data and the geo-spatial data
The weather prognosis data in the geographical location of each monitoring station.
Specifically, weather prognosis data are downloaded WRF data, are then run by pre-establishing WRF model as shown in Figure 1 C
WRF model program obtains.The setting of WRF mode operation includes basic data input, control file is arranged and physical parameter setting,
Basic data includes data, weather forecast Grid data GFS, history meteorological data and the ground such as landform and land use pattern
Face, souding upper-air observation data.Simulation setting includes the basic simulation setting such as nested grid range, map projection and simulated time, WRF
Mode provides various physical parameters scheme, selects suitable scheme, can preferably improve simulation to Study of Meso Scale Weather and
Forecast.
WRF mode is a new generation for participating in carrying out developmental research jointly by the scientist of many American Studies departments and university
Mesoscale Forecast Mode and assimilation system, WRF mode is that one kind can press Non-hydrostatic model completely, using Arakawa C grid, knot
Advanced numerical method and Data Assimilation technology are closed, using improved a variety of physical process parameter schemes, while being had more
It repoints set and is easily positioned in the ability of diverse geographic location, integrate numerical weather forecast, atmospheric simulation and data assimilation
Modular system, can preferably improve to from rice to the simulation of thousands of miles Study of Meso Scale Weather and forecast.
S230, obtain each monitoring station geographical location conventional ground observation data and raob data.
S240, according to the weather prognosis data, the geo-spatial data, conventional ground observation data and described
Raob data determine the meteorological field information.
Specifically, meteorological field information needs to obtain by Diagnosis Field mode, it is to be appreciated that Diagnosis Field mode needs
Want input data data include geo-spatial data (landform altitude and land use pattern etc.), Meso-scale meteorology prediction data,
Conventional ground observational data and raob data, wherein the meteorologic parameter for needing to input includes: temperature, wind speed, wind direction, phase
To humidity, rainfall, cloud amount and observed altitude etc..Diagnosis Field mode is on the basis of the initial meteorological field that WRF mode exports, knot
It closes high-resolution landform and data is observed in weather station, the meteorological field information for generating higher resolution is calculated by two steps, is obtained more
For the change in time and space of the fine accurately wind field near the ground in the geographical location of each monitoring station.
The geo-spatial data used is calculated in the embodiment of the present invention can come from the geography of 30 meters of precision of State Bureau of Surveying and Mapping
Data include landform altitude, land use pattern and some other Land Surface Parameters (roughness of ground surface, albedo, Bonn ratio and soil
Earth thermoflux parameter etc.).It should be noted that meteorological field information input is using WRF mode computation as a result, and being converted to m3d format
File, the initial meteorological field input calculated as Diagnosis Field.
Wherein, according to the weather prognosis data, the geo-spatial data, conventional ground observation data and described
Raob data determine the meteorological field information, comprising:
By Diagnosis Field computation model to the weather prognosis data, the geo-spatial data and the conventional ground
Observation data, which are adjusted, generates first step wind field；
The meteorological field information is calculated according to the first step wind field and the raob data.
Specifically, Diagnosis Field computation model is the (existing by Sigma Research Corporation of U.S. EPA recommendation
Earth Tech, the subsidiary of Inc) exploitation Diagnosis Field calculate mode.It is that the embodiment of the present invention mentions as shown in Figure 2 A
The calculation flow chart of the illustrative Diagnosis Field computation model supplied, Diagnosis Field computation model are continuously square using the conservation of mass
Journey, describes the meteorological module in hour wind field and temperature field in three-dimensional grid analog domain, core include Diagnosis Field with
And microclimate field mode, to initial guess wind field, (mesoscale model exports the ground of meteorological field, routine monitoring to Diagnosis Field module
With aerological data) morphodynamics, overland flow and the adjustment of landform blocking effect are carried out, first step wind field is generated, imports and sees
Measured data, and pass through the final wind fields of generations such as interpolation, smoothing processing, vertical speed calculating and divergence minimum.Diagnosis Field meter
Calculate kinetic effect, slanted gas flow and obstruction effect that the module in model considers landform in detail in dimensional wind simulation process
It answers.
S250, each pollutant according to each pollution sources of each monitoring station pre-stored in local storage
Emission inventories determine each discharge of pollutant sources data of each monitoring station.
Specifically, obtained by the Pollution Source Monitorings equipment such as on-line monitoring equipment, can also by local government or
The relevant departments such as enterprise or unit can lead to come each pollutant emission inventory of each pollution sources of each monitoring station provided
Local storage is crossed to be stored in advance.
S260, pass through air matter according to each discharge of pollutant sources data in the meteorological field information and each pollution sources
Amount model determines the Air Quality Forecast data of each pollutant in each pollution sources.
S270, each prison is determined according to the Air Quality Forecast data of each pollutant in each pollution sources
The Air Quality Forecast data of each pollutant of each pollution sources of survey station.
Atmospheric quality models (CALPUFF), which are that one kind is non-, determines field atmosphere pollution cigarette group diffusion calculating mode, is U.S.'s ring
The advantages of directive/guide mode that guarantor portion and Eco-environmental Issues in China portion are recommended, the mode is can to calculate time-varying meteorological field to atmosphere pollution
The influence of diffusion, and consider primary pollution and secondary pollution, landform and effect on building and sedimentation and different pollutant
Diffusion coefficient, so, it is used widely in environmental impact assessment.The technical solution of the embodiment of the present invention is one kind in air
On the basis of quality model calculates kernel, integrating parallel calculates and distributed computing technology, meanwhile, improvement calculation process reaches can
Method atmospheric quality models calculated result is quickly calculated.Atmospheric quality models calculate mode meteorology mould by Diagnosis Field
Block, cigarette group diffusion module and post-processing module three parts composition, wherein cigarette group diffusion module is the main mould of atmospheric quality models
Block, atmospheric quality models are one and are used to simulate or predict multiple pollutant under unsteady and unsteady state condition, multi-level
Gaussian (Gaussian) diffusion model.Concentration diffusion can be carried out by atmospheric quality models to calculate, but needs external input dirty
Contaminate emission source related data, thus obtain at any time, space, change in location meteorologic factor under pollutant (such as SO2、NOx
Deng) mass concentration distributions situation.It can be understood that 30 days air qualities are calculated with atmospheric quality models, wherein first 23 days
For monitoring；7 days are prediction data afterwards, and 1 kilometer of spatial resolution, temporal resolution 1 hour, the pollution factor of calculating included
" PM2.5, PM10, SO2, NOx, O3 ", automation calculates and trigger-type calculates.
The technical solution of the embodiment of the present invention will be made in advance by input weather prognosis data and discharge of pollutant sources data
The Air Quality Forecast data high-performance model performed, wherein Air Quality Forecast data high-performance model includes Diagnosis Field
Model, cigarette group's diffusion model and post-processing summarize data model three parts composition, and post-processing summarizes data model for will be each
The Air Quality Forecast data of each pollutant in pollution sources are summarized each of each pollution sources for obtaining each monitoring station
The Air Quality Forecast data of a pollutant, and the parameterized template of Air Quality Forecast data high-performance model is formulated, it will be dirty
Dye source emission information is written in the parameterized template of Air Quality Forecast data high-performance model, then runs Air Quality Forecast
Data high-performance model, Air Quality Forecast data high-performance model parse Air Quality Forecast data high-performance after running successfully
The destination file of model, and draw with NCL, export monitoring station Air Quality Forecast data and corresponding picture,
The technical solution of the embodiment of the present invention can also carry out high-performance calculation using GPU technology.What the embodiment of the present invention to be solved
Technical problem is the performance for improving atmospheric quality models and calculating, and monokaryon calculating, In can only be carried out at present by solving atmospheric quality models
The problem of can not being applied when encountering scene exigent to computational valid time, made with improving the calculated performance of atmospheric quality models
It can widely be applied, and local computing limitation is disengaged it from, and the calculation process of creation allows to carry out multicore meter
It calculates, and carries out cooperated computing and data achievement-sharing in different calculate nodes.
Embodiment three
Fig. 3 is a kind of structure chart for data determining device that the embodiment of the present invention three provides, and the present embodiment is applicable to
The case where computational valid time requires height and does not directly calculate available result automatically in the case of by manual intervention.
As shown in figure 3, described device includes: meteorological field information determination module 310, discharge of pollutant sources data acquisition module
320 and Air Quality Forecast data determining module 330, in which:
Meteorological field information determination module 310, for obtaining the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases
Weather prognosis data, and determine meteorological field information according to the weather prognosis data；
Discharge of pollutant sources data acquisition module 320, for obtaining each discharge of pollutant sources data of each monitoring station；
Air Quality Forecast data determining module 330, for being arranged according to the meteorological field information and each pollution sources
Put data determine each monitoring station each pollution sources each pollutant Air Quality Forecast data.
The data determining device of the present embodiment, by the geographical location for obtaining each monitoring station in Atmosphere Environment Monitoring System Bases
Weather prognosis data, and determine meteorological field information according to the weather prognosis data；Obtain each of each monitoring station
Discharge of pollutant sources data；Each monitoring station is determined according to the meteorological field information and each discharge of pollutant sources data
The Air Quality Forecast data of each pollutant of each pollution sources.Solves calculating time existing in the prior art and calculating
Computational valid time caused by the constraint of numerical method is poor and the problem of quantity pollution sources calculate can only be fixed, accurate to realize
Multicore calculate, fast synergistic calculates and outcome data is shared.
On the basis of the various embodiments described above, the gas in the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases is obtained
As prediction data, comprising:
The meteorological Numerical Prediction Models data downloaded in advance are obtained, the meteorology Numerical Prediction Models data are gone through including meteorology
The geo-spatial data in the geographical location of history data and each monitoring station；
It is determined according to the meteorological historical data and the geo-spatial data each in the Atmosphere Environment Monitoring System Bases
The weather prognosis data in the geographical location of monitoring station.
On the basis of the various embodiments described above, meteorological field information is determined according to the weather prognosis data, comprising:
Obtain the conventional ground observation data and raob data in the geographical location of each monitoring station；
According to the weather prognosis data, the geo-spatial data, conventional ground observation data and the sounding
Observation data determine the meteorological field information.
On the basis of the various embodiments described above, according to the weather prognosis data, the geo-spatial data, the routine
Ground observation data and the raob data determine the meteorological field information, comprising:
By Diagnosis Field computation model to the weather prognosis data, the geo-spatial data and the conventional ground
Observation data, which are adjusted, generates first step wind field；
The meteorological field information is calculated according to the first step wind field and the raob data.
On the basis of the various embodiments described above, each discharge of pollutant sources data of each monitoring station are obtained, comprising:
According to each pollutant emission of each pollution sources of each monitoring station pre-stored in local storage
Inventory determines each discharge of pollutant sources data of each monitoring station.
On the basis of the various embodiments described above, determined according to the meteorological field information and each discharge of pollutant sources data
The Air Quality Forecast data of each pollutant of each pollution sources of each monitoring station, comprising:
Pass through air quality mould according to each discharge of pollutant sources data in the meteorological field information and each pollution sources
Type determines the Air Quality Forecast data of each pollutant in each pollution sources；
Each monitoring station is determined according to the Air Quality Forecast data of each pollutant in each pollution sources
Each pollution sources each pollutant Air Quality Forecast data.
On the basis of the various embodiments described above, the Air Quality Forecast data of each monitoring station are each pollutions
The case where mass concentration of each pollutant in source changes over time, and the case where mass concentration is changed over time, passes through
Independent window is shown on the map of Atmosphere Environment Monitoring System Bases.
It is true that data provided by any embodiment of the invention can be performed in data determining device provided by the various embodiments described above
Determine method, has and execute the corresponding functional module of data determination method and beneficial effect.
Example IV
As shown in figure 4, a kind of hardware structural diagram of the equipment provided for the embodiment of the present invention four, as shown in figure 4, should
Equipment includes:
One or more processors 410, in Fig. 4 by taking a processor 410 as an example；
Memory 420；
The equipment can also include: input unit 430 and output device 440.
Processor 410, memory 420, input unit 430 and output device 440 in the equipment can pass through bus
Or other modes connect, in Fig. 4 for being connected by bus.
Memory 420 be used as a kind of non-transient computer readable storage medium, can be used for storing software program, computer can
Program and module are executed, the corresponding program instruction of the method/module (example determined such as one of embodiment of the present invention data
Such as, attached meteorological field information determination module 310 shown in Fig. 3, discharge of pollutant sources data acquisition module 320 and Air Quality Forecast number
According to determining module 330).
Software program, instruction and the module that processor 410 is stored in memory 420 by operation, thereby executing setting
Standby various function application and data processing realizes a kind of data determination method of above method embodiment, this method packet
It includes:
The weather prognosis data in the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases are obtained, and according to the gas
As prediction data determines meteorological field information；
Obtain each discharge of pollutant sources data of each monitoring station；
Each dirt of each monitoring station is determined according to the meteorological field information and each discharge of pollutant sources data
The Air Quality Forecast data of each pollutant in dye source.
Certainly, it will be understood by those skilled in the art that processor can also realize it is provided by any embodiment of the invention
The technical solution of data determination method.
Memory 420 may include storing program area and storage data area, wherein storing program area can store operation system
Application program required for system, at least one function；Storage data area, which can be stored, uses created data etc. according to equipment.
It can also include non-transitory memory in addition, memory 420 may include high-speed random access memory, for example, at least one
A disk memory, flush memory device or other non-transitory solid-state memories.In some embodiments, memory 420 can
Choosing includes the memory remotely located relative to processor 410, these remote memories can be set by network connection to terminal
It is standby.The example of above-mentioned network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Input unit 430 can be used for receiving the number or character information of input, and generate with the user setting of equipment with
And the related key signals input of function control.Output device 440 may include that display screen etc. shows equipment.
Embodiment five
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, the journey
The data determination method as provided by the embodiment of the present invention is realized when sequence is executed by processor, this method comprises:
The weather prognosis data in the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases are obtained, and according to the gas
As prediction data determines meteorological field information；
Obtain each discharge of pollutant sources data of each monitoring station；
Each dirt of each monitoring station is determined according to the meteorological field information and each discharge of pollutant sources data
The Air Quality Forecast data of each pollutant in dye source.
Certainly, a kind of computer readable storage medium provided by the embodiment of the present invention, the computer program stored thereon
The method operation being not limited to the described above, can also be performed the phase in data determination method provided by any embodiment of the invention
Close operation.
The computer storage medium of the embodiment of the present invention, can be using any of one or more computer-readable media
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or
Device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: tool
There are electrical connection, the portable computer diskette, hard disk, random access memory (RAM), read-only memory of one or more conducting wires
(ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-
ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable storage
Medium can be any tangible medium for including or store program, which can be commanded execution system, device or device
Using or it is in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.In
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of data determination method characterized by comprising
The weather prognosis data in the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases are obtained, and according to described meteorological pre-
Measured data determines meteorological field information；
Obtain each discharge of pollutant sources data of each monitoring station；
Each pollution sources of each monitoring station are determined according to the meteorological field information and each discharge of pollutant sources data
Each pollutant Air Quality Forecast data.
2. the method according to claim 1, wherein obtaining the ground of each monitoring station in Atmosphere Environment Monitoring System Bases
Manage the weather prognosis data of position, comprising:
The meteorological Numerical Prediction Models data downloaded in advance are obtained, the meteorology Numerical Prediction Models data include meteorological history number
According to the geo-spatial data in the geographical location with each monitoring station；
Each monitoring in the Atmosphere Environment Monitoring System Bases is determined according to the meteorological historical data and the geo-spatial data
The weather prognosis data in the geographical location stood.
3. according to the method described in claim 2, it is characterized in that, determine meteorological field information according to the weather prognosis data,
Include:
Obtain the conventional ground observation data and raob data in the geographical location of each monitoring station；
According to the weather prognosis data, the geo-spatial data, conventional ground observation data and the raob
Data determine the meteorological field information.
4. according to the method described in claim 3, it is characterized in that, according to the weather prognosis data, the fundamental geological number
The meteorological field information is determined according to, conventional ground observation data and the raob data, comprising:
The weather prognosis data, the geo-spatial data and the conventional ground are observed by Diagnosis Field computation model
Data, which are adjusted, generates first step wind field；
The meteorological field information is calculated according to the first step wind field and the raob data.
5. the method according to claim 1, wherein obtaining each discharge of pollutant sources number of each monitoring station
According to, comprising:
According to each pollutant emission inventory of each pollution sources of each monitoring station pre-stored in local storage
Determine each discharge of pollutant sources data of each monitoring station.
6. the method according to claim 1, wherein being arranged according to the meteorological field information and each pollution sources
Put data determine each monitoring station each pollution sources each pollutant Air Quality Forecast data, comprising:
It is true by atmospheric quality models according to each discharge of pollutant sources data in the meteorological field information and each pollution sources
The Air Quality Forecast data of each pollutant in fixed each pollution sources；
The each of each monitoring station is determined according to the Air Quality Forecast data of each pollutant in each pollution sources
The Air Quality Forecast data of each pollutant of a pollution sources.
7. the method according to claim 1, wherein the Air Quality Forecast data of each monitoring station are each
The case where mass concentration of each pollutant of a pollution sources changes over time, and the mass concentration is changed over time
The case where be shown on the map of Atmosphere Environment Monitoring System Bases by independent window.
8. a kind of data determining device characterized by comprising
Meteorological field information determination module, the meteorology for obtaining the geographical location of each monitoring station in Atmosphere Environment Monitoring System Bases are pre-
Measured data, and meteorological field information is determined according to the weather prognosis data；
Discharge of pollutant sources data acquisition module, for obtaining each discharge of pollutant sources data of each monitoring station；
Air Quality Forecast data determining module, for true according to the meteorological field information and each discharge of pollutant sources data
The Air Quality Forecast data of each pollutant of each pollution sources of fixed each monitoring station.
9. a kind of equipment, which is characterized in that the equipment includes:
One or more processors；
Storage device, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The now data determination method as described in any in claim 1-7.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The data determination method as described in any in claim 1-7 is realized when execution.
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| CN111581808A (en) * | 2020-04-30 | 2020-08-25 | 中科三清科技有限公司 | Pollutant information processing method and device, storage medium and terminal |
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| CN112107947A (en) * | 2020-09-15 | 2020-12-22 | 周清峰 | Management system and method for treating air suspended matters |
| CN113011455A (en) * | 2021-02-02 | 2021-06-22 | 北京数汇通信息技术有限公司 | Air quality prediction SVM model construction method |
| CN113537563A (en) * | 2021-06-10 | 2021-10-22 | 中科三清科技有限公司 | Pollution emergency management and control effect evaluation method and device |
| CN113536657A (en) * | 2021-05-06 | 2021-10-22 | 北京邮电大学 | Ocean atmosphere refractive index prediction method based on machine learning |
| CN113641744A (en) * | 2021-08-03 | 2021-11-12 | 北京三易思创科技有限公司 | Calculation method for realizing CALPUFF model by distributed high-concurrency scheduling |
| CN113641497A (en) * | 2021-08-03 | 2021-11-12 | 北京三易思创科技有限公司 | Method for realizing distributed high-concurrency data summarization based on dimension reduction and segmentation technology |
| CN113674135A (en) * | 2021-08-03 | 2021-11-19 | 北京三易思创科技有限公司 | Calculation method for realizing CALPUFF high performance based on workflow |
| CN114088593A (en) * | 2021-10-11 | 2022-02-25 | 中科三清科技有限公司 | Method and device for determining sea salt discharge flux |
| CN114324074A (en) * | 2021-12-22 | 2022-04-12 | 陕西智星空间科技有限公司 | Atmosphere monitoring sailing method based on backward trajectory model and remote sensing image |
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| CN111581808A (en) * | 2020-04-30 | 2020-08-25 | 中科三清科技有限公司 | Pollutant information processing method and device, storage medium and terminal |
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| CN112037290B (en) * | 2020-08-28 | 2021-05-11 | 中科三清科技有限公司 | Data processing method, device and equipment |
| CN112107947A (en) * | 2020-09-15 | 2020-12-22 | 周清峰 | Management system and method for treating air suspended matters |
| CN113011455A (en) * | 2021-02-02 | 2021-06-22 | 北京数汇通信息技术有限公司 | Air quality prediction SVM model construction method |
| CN113011455B (en) * | 2021-02-02 | 2024-01-05 | 北京数汇通信息技术有限公司 | Air quality prediction SVM model construction method |
| CN113536657A (en) * | 2021-05-06 | 2021-10-22 | 北京邮电大学 | Ocean atmosphere refractive index prediction method based on machine learning |
| CN113537563A (en) * | 2021-06-10 | 2021-10-22 | 中科三清科技有限公司 | Pollution emergency management and control effect evaluation method and device |
| CN113641497A (en) * | 2021-08-03 | 2021-11-12 | 北京三易思创科技有限公司 | Method for realizing distributed high-concurrency data summarization based on dimension reduction and segmentation technology |
| CN113674135A (en) * | 2021-08-03 | 2021-11-19 | 北京三易思创科技有限公司 | Calculation method for realizing CALPUFF high performance based on workflow |
| CN113641744A (en) * | 2021-08-03 | 2021-11-12 | 北京三易思创科技有限公司 | Calculation method for realizing CALPUFF model by distributed high-concurrency scheduling |
| CN113641497B (en) * | 2021-08-03 | 2024-07-05 | 北京三易思创科技有限公司 | System for realizing distributed high concurrency data summarization based on dimension reduction segmentation technology |
| CN113641744B (en) * | 2021-08-03 | 2024-09-06 | 北京三易思创科技有限公司 | Calculation method for realizing CALPUFF model by distributed high concurrency scheduling |
| CN114088593A (en) * | 2021-10-11 | 2022-02-25 | 中科三清科技有限公司 | Method and device for determining sea salt discharge flux |
| CN114088593B (en) * | 2021-10-11 | 2022-10-11 | 中科三清科技有限公司 | Method and device for determining sea salt discharge flux |
| CN114324074A (en) * | 2021-12-22 | 2022-04-12 | 陕西智星空间科技有限公司 | Atmosphere monitoring sailing method based on backward trajectory model and remote sensing image |
| CN114757807A (en) * | 2022-06-13 | 2022-07-15 | 江苏省生态环境监测监控有限公司 | Multi-mode fused online accounting method for actual emission of atmospheric pollutants |
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