CN109669005A - A kind of atmosphere pollution transmission quantization method and device - Google Patents
A kind of atmosphere pollution transmission quantization method and device Download PDFInfo
- Publication number
- CN109669005A CN109669005A CN201811606945.2A CN201811606945A CN109669005A CN 109669005 A CN109669005 A CN 109669005A CN 201811606945 A CN201811606945 A CN 201811606945A CN 109669005 A CN109669005 A CN 109669005A
- Authority
- CN
- China
- Prior art keywords
- point
- pollution
- data
- monitoring network
- geodata
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005540 biological transmission Effects 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000013139 quantization Methods 0.000 title claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 105
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 46
- 231100000719 pollutant Toxicity 0.000 claims abstract description 46
- 230000004907 flux Effects 0.000 claims abstract description 43
- 238000003915 air pollution Methods 0.000 claims abstract description 18
- 230000000644 propagated effect Effects 0.000 claims description 25
- 230000008859 change Effects 0.000 claims description 12
- 230000035755 proliferation Effects 0.000 claims description 7
- 238000012806 monitoring device Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 6
- 239000007789 gas Substances 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000009792 diffusion process Methods 0.000 description 4
- 239000002245 particle Substances 0.000 description 4
- 230000006378 damage Effects 0.000 description 3
- 239000004744 fabric Substances 0.000 description 3
- 210000004072 lung Anatomy 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 239000013618 particulate matter Substances 0.000 description 3
- 206010061218 Inflammation Diseases 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 210000000621 bronchi Anatomy 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 239000000356 contaminant Substances 0.000 description 2
- 239000000428 dust Substances 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000004054 inflammatory process Effects 0.000 description 2
- 210000004400 mucous membrane Anatomy 0.000 description 2
- 239000008188 pellet Substances 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- MGWGWNFMUOTEHG-UHFFFAOYSA-N 4-(3,5-dimethylphenyl)-1,3-thiazol-2-amine Chemical compound CC1=CC(C)=CC(C=2N=C(N)SC=2)=C1 MGWGWNFMUOTEHG-UHFFFAOYSA-N 0.000 description 1
- 208000006545 Chronic Obstructive Pulmonary Disease Diseases 0.000 description 1
- 208000003322 Coinfection Diseases 0.000 description 1
- 201000006306 Cor pulmonale Diseases 0.000 description 1
- 208000004186 Pulmonary Heart Disease Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000000149 argon plasma sintering Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001684 chronic effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000001627 detrimental effect Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 210000003928 nasal cavity Anatomy 0.000 description 1
- 201000009240 nasopharyngitis Diseases 0.000 description 1
- JCXJVPUVTGWSNB-UHFFFAOYSA-N nitrogen dioxide Inorganic materials O=[N]=O JCXJVPUVTGWSNB-UHFFFAOYSA-N 0.000 description 1
- 230000000505 pernicious effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 210000002345 respiratory system Anatomy 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 238000004062 sedimentation Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000001179 sorption measurement Methods 0.000 description 1
- 230000000638 stimulation Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Software Systems (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Combustion & Propulsion (AREA)
- Computational Mathematics (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Medicinal Chemistry (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to a kind of atmosphere pollutions to transmit quantization method, comprising: setting high density monitoring network, high density monitoring network includes the air pollution monitoring equipment being laid in multiple monitoring network points；The pollutant data of different monitoring times are obtained using the air pollution monitoring equipment in each monitoring network point, obtain meteorological data and geodata；According to pollutant data, meteorological data and geodata and preset atmospheric flux mode, atmosphere pollution transmission quantity is calculated.The pollution flow conveyed by other regions is excluded from the pollution distribution of one's respective area as a result, obtains one's respective area pollutant actual transmissions flux.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of atmosphere pollution transmission quantization method and devices.
Background technique
The phenomenon that concentration of pollutant or the secondary pollution being converted to by it has reached detrimental extent in atmosphere, referred to as greatly
Gas pollution.Solid particle of the partial size less than 100 μm in atmosphere is overall suspended pellet (total suspended
Particulate, TSP), particle size size and chemical composition are depended primarily on to the extent of injury of human body.Grain in TSP
Diameter is greater than 10 μm of substance, can nearly all be trapped by nasal cavity and throat, not enter alveolar.Maximum harm to the human body is 10 μm
The shape particulate matter below that swims, referred to as pellet (partial size is greater than 2.5 μm, less than 10 μm).It is trapped in the upper respiratory tract
Particulate matter can to mucosal tissue generate stimulation and corrosiveness, cause inflammation, and then lead to chronic nasopharyngitis, Chronic Airway
It is scorching.The inhalable particulates being trapped in bronchus and alveolar can generate synergy, damage with the nitrogen dioxide for being directly entered lung deep
Hurt alveolar and mucous membrane, bronchus and lung is caused to generate inflammation.Long-term continuous action can also induce chronic obstructive lung disease
Suffer from, and secondary infection occur, finally, the death rate of pulmonary heart disease is caused to increase.In addition, the adsorption capacity of particulate matter makes
" carrier " of atmospheric falling dust pollutant.Inhalable particulates can adsorb pernicious gas and liquid, and bring them into lungs deep, from
And lead to the generation of disease.
Studies have shown that regional pollution object anthropogenic discharge measures after reaching a high position, there is intercity mutual in serious region
Conveying determines that the transmission quantity of these pollutants is particularly important in the case where sand and dust reduction pollutant increases.It is comprehensive to reach
Pollution reduction transmits quantitative analysis to pollution, can science formulation pollution control measure.
Currently, the technology of pollution transmission quantization is divided into two classes: first kind method, monitoring sub-station is laid on administrative area boundary,
In conjunction with meteorological condition, atmosphere pollution transmission quantity is calculated；Problem of problems is that monitoring station quantity is few, can not obtain high-altitude
Middle pollutant, data acquisition amount is small, and transmission quantized result is representative poor, if intensively laying (every horizontal direction interval
1m, vertical direction interval 1m lay a monitoring instrument) it then invests greatly.Second class method, the pollution source ground cloth in administrative area
If monitoring station, according to monitoring data and meteorological condition, transmission quantity is calculated；The problem is that localized management is clear, across possession cloth
It sets and manages and is relatively difficult；Simultaneously because atmosphere pollution sedimentation is fast, transmission quantity error calculated is larger.
Summary of the invention
The purpose of the present invention is in view of the deficiencies in the prior art, provide a kind of atmosphere pollution transmission quantization method
And device.
To achieve the above object, in a first aspect, the present invention provides a kind of atmosphere pollutions to transmit quantization method, the side
Method includes:
High density monitoring network is set, and the high density monitoring network includes the sky being laid in multiple monitoring network points
Gas pollution monitoring equipment；
The atmosphere pollution of different monitoring times is obtained using the air pollution monitoring equipment in each monitoring network point
Concentration data；
Obtain meteorological data and geodata；
It is logical according to the pollutant data, the meteorological data and the geodata and preset atmosphere
Mode is measured, atmosphere pollution transmission quantity is calculated.
In one possible implementation, the setting high density monitoring network specifically includes:
Multiple monitoring network points are laid according to administrative area, ground mulching, land use pattern, geographical location and orographic condition
Position；
Air pollution monitoring equipment is set in each monitoring network point, generates high density monitoring network.
In one possible implementation, after the acquisition meteorological data and geodata, the method also includes:
All pollutant data, meteorological data and geodata are generated into monitor database.In a kind of possibility
Implementation in, it is described according to the pollutant data, the meteorological data and the geodata and pre-
If atmospheric flux mode, calculate atmosphere pollution transmission quantity, specifically include:
According to the pollutant data, the meteorological data and the geodata, monitoring network point is determined
Site concentration change information；
Monitoring network point site concentration change information and the atmospheric flux mode are stated according to described, calculates atmosphere pollution
Object transmission quantity.
In one possible implementation, it is described according to the pollutant data, the meteorological data and
The geodata and preset atmospheric flux mode calculate atmosphere pollution transmission quantity, specifically include:
According to the geodata, the lateral virtual point of target point distance in the multiple network monitor point is calculated
Distance；The lateral virtual point is atmosphere pollution source point, and the target point is current calculative point；
According to the pollutant data and preset interpolation model, the standard deviation of concentration vertical distribution is calculated
Difference；
According to the meteorological data, the distance and concentration vertical distribution of the lateral virtual point of target point distance
Standard deviation, calculate the horizontal pollution propagated flux of target point；
According to the meteorological data and the geodata, the high airflow and the target point of the target point are determined
The height of position；
According to the high airflow, the height of the target point, mixing height and vertical proliferation parameter, target is calculated
The vertical pollution propagated flux of point；
According to the horizontal pollution propagated flux and the vertical pollution propagated flux, atmosphere pollution transmission quantity is calculated.
Second aspect, the present invention provides a kind of transmission quantization device of atmosphere pollution, described device includes:
Setup module, for the setup module for high density monitoring network to be arranged, the high density monitoring network includes cloth
Air pollution monitoring equipment in multiple monitoring network points；
Module is obtained, the module that obtains is used to obtain using the air pollution monitoring equipment in each monitoring network point
The pollutant data of different monitoring times；
The acquisition module, is also used to obtain meteorological data and geodata；
Computing module, the computing module are used for according to the pollutant data, the meteorological data and institute
Geodata and preset atmospheric flux mode are stated, atmosphere pollution transmission quantity is calculated.
In one possible implementation, the setup module is specifically used for:
Multiple monitoring network points are laid according to administrative area, ground mulching, land use pattern, geographical location and orographic condition
Position；
Air pollution monitoring equipment is set in each monitoring network point, generates high density monitoring network.
In one possible implementation, described device further includes generation module；
The generation module is used for, and all pollutant data, meteorological data and geodata are generated and monitored
Database.
In one possible implementation, the computing module is specifically used for:
According to the pollutant data, the meteorological data and the geodata, monitoring network point is determined
Site concentration change information；
Monitoring network point site concentration change information and the atmospheric flux mode are stated according to described, calculates atmosphere pollution
Object transmission quantity.
In one possible implementation, the computing module is specifically used for:
According to the geodata, the lateral virtual point of target point distance in the multiple network monitor point is calculated
Distance；The lateral virtual point is atmosphere pollution source point, and the target point is current calculative point；
According to the pollutant data and preset interpolation model, the standard deviation of concentration vertical distribution is calculated
Difference；
According to the meteorological data, the distance and concentration vertical distribution of the lateral virtual point of target point distance
Standard deviation, calculate the horizontal pollution propagated flux of target point；
According to the meteorological data and the geodata, the high airflow and the target point of the target point are determined
The height of position；
According to the high airflow, the height of the target point, mixing height and vertical proliferation parameter, target is calculated
The vertical pollution propagated flux of point；
According to the horizontal pollution propagated flux and the vertical pollution propagated flux, atmosphere pollution transmission quantity is calculated.
The third aspect, the present invention provides a kind of equipment, including memory and processor, the memory is for storing journey
Sequence, the processor are used to execute any method of first aspect.
Fourth aspect, the present invention provides a kind of computer program products comprising instruction, when the computer program produces
When product are run on computers, so that the computer executes any method of first aspect.
5th aspect, the present invention provides a kind of computer readable storage medium, on the computer readable storage medium
It is stored with computer program, the method as described in first aspect is any is realized when the computer program is executed by processor.
Atmosphere pollution transmission quantization method and device provided by the invention, is faced for atmosphere pollution groupcontrol
Region question of liability, the analysis of pollution possession further can exclude the pollution conveyed by other regions from the pollution distribution of one's respective area
Flow obtains one's respective area pollutant actual transmissions flux.
Detailed description of the invention
Fig. 1 is the atmosphere pollution transmission quantization method flow diagram that the embodiment of the present invention one provides；
Fig. 2 is that atmosphere pollution provided by Embodiment 2 of the present invention transmits quantization device structural schematic diagram.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention make into
It is described in detail to one step, it is clear that the described embodiments are only some of the embodiments of the present invention, rather than whole implementation
Example.Based on the embodiments of the present invention, obtained by those of ordinary skill in the art without making creative efforts
All other embodiment, shall fall within the protection scope of the present invention.
The advantage of total suspended particles contaminant transmission quantization method based on high density monitoring network:
1. high density monitoring network obtains concentration data and meteorological data of the atmosphere pollution with respect to stability region, guarantees
Data are representative.
2. the mass data of high density monitoring network, acquisition corroborates each other, guarantee data accuracy.
3. high density monitoring network in region avoids both horizontally and vertically intensively laying equipment, cost is saved.
For the ease of being preferably illustrated to method involved in the application, " point " is illustrated first below.
Point, that is, position of the gridding monitoring device on map.The gridding monitoring device is hereinafter to be referred to as
Enviromental monitoring equipment.
Gridding monitoring device refers to the detection method using light scattering, small in size, light-weight, is used for automatic monitor for continuously
The equipment of pollutant situation in surrounding air.
To achieve the purpose that Regional Atmospheric Pollution prevents and treats fine-grained management, according to different monitoring demand and environmental characteristic by mesh
Mark region is divided into different grids and carries out point arrangement, carries out real-time monitoring, referred to as net to concentration contaminants associated in each grid
It formats monitoring.The emphasis Polluted area that urban grid supervision is divided is known as " hot spot grid ".Highdensity gridding
Monitoring network Reasonable Arrangement types of functionality monitoring site, the air quality for being able to reflect emphasis Polluted area should become in region
Change, meets the needs of regional environment air monitoring, objectively evaluate the air quality of emphasis Polluted area.
Pollutant distribution situation can be assessed, in conjunction with resource and warp according to the diffusion of local pollutant, migration and transformation rule
The feasibility of Ji determines reasonable monitoring site, keeps data obtained representative.
Fig. 1 is the atmosphere pollution transmission quantization method flow diagram that the embodiment of the present invention one provides.The execution master of this method
The equipment that body can be specific computing function, for example, computer, mobile phone or atmosphere pollution transmission quantization device etc., the calculating
Machine, mobile phone or atmosphere pollution transmission quantization device can be connected with gridding monitoring device, which can pass through nothing
Line or the mode of wire communication carry out, and the application does not limit this.
As shown in Figure 1, specifically comprising the following steps:
Step 101, high density monitoring network is set, and the high density monitoring network includes being laid in multiple monitoring network points
Air pollution monitoring equipment on position.
Specifically, first being laid according to administrative area, ground mulching, land use pattern, geographical location and orographic condition multiple
Monitoring network point；Finally, air pollution monitoring equipment is arranged in each monitoring network point, high density monitoring net is generated
Network.
Wherein, land use pattern includes road, industrial area, bare area, built-up areas, administrative area boundary etc..Ground mulching packet
Include ground mulching plant, covering building type etc..
Step 102, the big of different monitoring times is obtained using the air pollution monitoring equipment in each monitoring network point
Gas pollutant concentration data.
Step 103, meteorological data and geodata are obtained.
Wherein, air pollution monitoring equipment can obtain the atmosphere of each monitoring network point according to different monitoring times
Pollutant concentration data, it is possible thereby to which collecting data according to the different monitoring time of each monitoring network point generates atmosphere
Pollutant concentration situation of change.It can use anerovane, pollutant monitor etc. and get meteorological data, it can
To get geographical number using Global Satellite Navigation System (Global Navigation Satellite System, GNSS)
According to.Meteorological data includes air speed data and wind direction data；Geodata includes longitude and latitude data and altitude information.
Step 104, according to the pollutant data, the meteorological data and the geodata and default
Atmospheric flux mode, calculate atmosphere pollution transmission quantity.
In one example, step 104 the following steps are included:
First according to the pollutant data, the meteorological data and the geodata, monitoring network is determined
Point site concentration change information；
Monitoring network point site concentration change information and the atmospheric flux mode are stated according to afterwards, it is dirty to calculate atmosphere
Contaminate object transmission quantity.
In another example, step 104 the following steps are included:
Firstly, the target point distance calculated in the multiple network monitor point is lateral empty according to the geodata
The distance of quasi- point；The lateral virtual point is atmosphere pollution source point, and the target point is currently to need to calculate
Point；
Then, according to the pollutant data and preset interpolation model, the mark of concentration vertical distribution is calculated
Quasi- deviation；
Then, it is hung down according to the meteorological data, the distance of the lateral virtual point of target point distance and the concentration
The standard deviation being directly distributed calculates the horizontal pollution propagated flux of target point；
Wherein it is possible to pass through formulaCarry out horizontal pollution propagated flux
Calculating；Wherein, K is unit proportionality coefficient；Q is the i-th wind speed scale, the discharge intensity of kth stability rank；F is the i-th wind speed
Grade, jth wind direction, the Combined Frequency of kth stability rank；△ θ ' is covering of the fan width (radian)；R be receiving station to it is lateral virtually
The radial distance (=[(x+xy) 2+y2] 1/2) of point source；X be along the source center of plume central axis to receiving station lower wind direction away from
From；Y plume central axis is to receiving station lateral distance；Xy be lateral pseudo range, for no horizontal proliferation reinforce source or do not have
There is the source of building down wash, xy is equal to zero；S is smooth function；Us is the i-th wind speed scale, kth stability rank Shi Yuangao
The mean wind speed at place；The standard deviation of concentration vertical distribution when σ z is kth stability；V is the i-th wind speed scale, kth stability grade
Vertical item when other；D is the i-th wind speed scale, the attenuation term of pollutant when kth stability rank.
Then, according to the meteorological data and the geodata, the high airflow of the target point and described is determined
The height of target point；
Then, according to the high airflow, the height of the target point, mixing height and vertical proliferation parameter, meter
Calculate the vertical pollution propagated flux of target point；
Finally, calculating atmosphere pollution according to the horizontal pollution propagated flux and the vertical pollution propagated flux and passing
Throughput rate.
Wherein, the height of convection current mixing gas-bearing formation that solar radiation makes lower atmosphere layer heating convection current and formed is mixed layer height
Degree.Atmospheric Diffusion Parameters be spread particle with concentration center wheelbase from concentration distribution mean square deviation, be Atmospheric diffusion ability
Measurement, and vertical proliferation parameter is the component of Atmospheric Diffusion Parameters in vertical direction.
Formula can be passed throughCarry out the calculating of vertical pollution propagated flux.
Wherein, ZiFor for mixing height.
The sum of propagated flux and vertical pollution propagated flux are polluted by level, calculates atmosphere pollution propagated flux.
Atmosphere pollution provided by the invention transmits quantization method, blames for the region that atmosphere pollution groupcontrol is faced
Appoint problem, the analysis of pollution possession further can exclude the pollution flow conveyed by other regions from the pollution distribution of one's respective area,
Obtain one's respective area pollutant actual transmissions flux.
Fig. 2 is that atmosphere pollution provided by Embodiment 2 of the present invention transmits quantization device structural schematic diagram.The atmosphere pollution
Object transmission quantization device can be applied in atmosphere pollution transmission quantization method.As shown in Fig. 2, atmosphere pollution transmission quantization
Device includes: setup module 21, obtains module 22, computing module 23.
Setup module 21 includes being laid in multiple monitorings for high density monitoring network, the high density monitoring network to be arranged
Air pollution monitoring equipment in network point.
When obtaining module 22 for obtaining different monitorings using the air pollution monitoring equipment in each monitoring network point
Between pollutant data.
Module 22 is obtained to be also used to obtain meteorological data and geodata.
Computing module 23 be used for according to the pollutant data, the meteorological data and the geodata with
And preset atmospheric flux mode, calculate atmosphere pollution transmission quantity.
The atmosphere pollution based on high density monitoring network that the embodiment of the present application two provides transmits the specific of quantization device
The atmosphere pollution transmission quantization method based on high density monitoring network that the course of work and embodiment one provide is corresponding, herein
It repeats no more.
The embodiment of the present invention three provides a kind of equipment, including memory and processor, and memory is deposited for storing program
Reservoir can be connect by bus with processor.Memory can be nonvolatile storage, such as hard disk drive and flash memory, storage
Software program and device driver are stored in device.Software program is able to carry out the above method provided in an embodiment of the present invention
Various functions；Device driver can be network and interface drive program.Processor is for executing software program, the software journey
Sequence is performed, and can be realized method provided in an embodiment of the present invention.
The embodiment of the present invention four provides a kind of computer program product comprising instruction, when computer program product is being counted
When being run on calculation machine, so that computer executes the method that the embodiment of the present invention one provides.
The embodiment of the present invention five provides a kind of computer readable storage medium, is stored on computer readable storage medium
Computer program realizes the method that the embodiment of the present invention one provides when computer program is executed by processor.
Professional should further appreciate that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.
Professional technician can use different methods to achieve the described function each specific application, but this realization
It should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can be executed with hardware, processor
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only storage
Device (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology neck
In any other form of storage medium well known in domain.
Above specific embodiment has carried out further in detail the purpose of the present invention, technical scheme and beneficial effects
Illustrate, it should be understood that the above is only a specific embodiment of the invention, the protection model that is not intended to limit the present invention
It encloses, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should be included in the present invention
Protection scope within.
Claims (10)
1. a kind of atmosphere pollution transmits quantization method, which is characterized in that the described method includes:
High density monitoring network is set, and the high density monitoring network includes the air dirt being laid in multiple monitoring network points
Contaminate monitoring device；
The pollutant of different monitoring times is obtained using the air pollution monitoring equipment in each monitoring network point
Data；
Obtain meteorological data and geodata；
It is passed according to the pollutant data, the meteorological data and the geodata and preset atmospheric flux
Defeated model calculates atmosphere pollution transmission quantity.
2. the method according to claim 1, wherein the setting high density monitoring network specifically includes:
Multiple monitoring network points are laid according to administrative area, ground mulching, land use pattern, geographical location and orographic condition；
Air pollution monitoring equipment is set in each monitoring network point, generates high density monitoring network.
3. described the method according to claim 1, wherein after the acquisition meteorological data and geodata
Method further include:
All pollutant data, meteorological data and geodata are generated into monitor database.
4. the method according to claim 1, wherein it is described according to the pollutant data, it is described
Meteorological data and the geodata and preset atmospheric flux mode calculate atmosphere pollution transmission quantity, specific to wrap
It includes:
According to the pollutant data, the meteorological data and the geodata, determine that monitoring network point is dense
Spend change information；
Monitoring network point site concentration change information and the atmospheric flux mode are stated according to described, atmosphere pollution is calculated and passes
Throughput rate.
5. the method according to claim 1, wherein it is described according to the pollutant data, it is described
Meteorological data and the geodata and preset atmospheric flux mode calculate atmosphere pollution transmission quantity, specific to wrap
It includes:
According to the geodata, calculate the lateral virtual point of target point distance in the multiple network monitor point away from
From；The lateral virtual point is atmosphere pollution source point, and the target point is current calculative point；
According to the pollutant data and preset interpolation model, the standard deviation of concentration vertical distribution is calculated；
According to the mark of the meteorological data, the distance of the lateral virtual point of target point distance and concentration vertical distribution
Quasi- deviation calculates the horizontal pollution propagated flux of target point；
According to the meteorological data and the geodata, determine the target point high airflow and the target point
Highly；
According to the high airflow, the height of the target point, mixing height and vertical proliferation parameter, target point is calculated
Vertical pollution propagated flux；
According to the horizontal pollution propagated flux and the vertical pollution propagated flux, atmosphere pollution transmission quantity is calculated.
6. a kind of atmosphere pollution transmits quantization device, which is characterized in that described device includes:
Setup module, the setup module include being laid in for high density monitoring network, the high density monitoring network to be arranged
Air pollution monitoring equipment in multiple monitoring network points；
Module is obtained, the module that obtains is used to utilize the air pollution monitoring equipment acquisition in each monitoring network point different
The pollutant data of monitoring time；
The acquisition module, is also used to obtain meteorological data and geodata；
Computing module, the computing module are used for according to the pollutant data, the meteorological data and described
Data and preset atmospheric flux mode are managed, atmosphere pollution transmission quantity is calculated.
7. device according to claim 6, which is characterized in that the setup module is specifically used for:
Multiple monitoring network points are laid according to administrative area, ground mulching, land use pattern, geographical location and orographic condition；
Air pollution monitoring equipment is set in each monitoring network point, generates high density monitoring network.
8. device according to claim 6, which is characterized in that described device further includes generation module；
The generation module is used for, and all pollutant data, meteorological data and geodata are generated monitoring data
Library.
9. device according to claim 6, which is characterized in that the computing module is specifically used for:
According to the pollutant data, the meteorological data and the geodata, determine that monitoring network point is dense
Spend change information；
Monitoring network point site concentration change information and the atmospheric flux mode are stated according to described, atmosphere pollution is calculated and passes
Throughput rate.
10. device according to claim 6, which is characterized in that the computing module is specifically used for:
According to the geodata, calculate the lateral virtual point of target point distance in the multiple network monitor point away from
From；The lateral virtual point is atmosphere pollution source point, and the target point is current calculative point；
According to the pollutant data and preset interpolation model, the standard deviation of concentration vertical distribution is calculated；
According to the mark of the meteorological data, the distance of the lateral virtual point of target point distance and concentration vertical distribution
Quasi- deviation calculates the horizontal pollution propagated flux of target point；
According to the meteorological data and the geodata, determine the target point high airflow and the target point
Highly；
According to the high airflow, the height of the target point, mixing height and vertical proliferation parameter, target point is calculated
Vertical pollution propagated flux；
According to the horizontal pollution propagated flux and the vertical pollution propagated flux, atmosphere pollution transmission quantity is calculated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811606945.2A CN109669005A (en) | 2018-12-27 | 2018-12-27 | A kind of atmosphere pollution transmission quantization method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811606945.2A CN109669005A (en) | 2018-12-27 | 2018-12-27 | A kind of atmosphere pollution transmission quantization method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109669005A true CN109669005A (en) | 2019-04-23 |
Family
ID=66147275
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811606945.2A Pending CN109669005A (en) | 2018-12-27 | 2018-12-27 | A kind of atmosphere pollution transmission quantization method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109669005A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112213444A (en) * | 2020-08-28 | 2021-01-12 | 浙江工业大学 | Source tracing method for time slice analysis of atmospheric pollution micro-monitoring network |
| CN117237647A (en) * | 2023-11-15 | 2023-12-15 | 成都嘉德数源环保科技有限公司 | Atmospheric pollution monitoring system and method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105067534A (en) * | 2015-07-25 | 2015-11-18 | 中国科学院合肥物质科学研究院 | Pollutant transport flux measurement and calculation method based on ground-based MAX-DOAS |
| CN106126903A (en) * | 2016-06-21 | 2016-11-16 | 北京市环境保护监测中心 | The computational methods of PM2.5 three-dimensional transport fluxes and device |
-
2018
- 2018-12-27 CN CN201811606945.2A patent/CN109669005A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105067534A (en) * | 2015-07-25 | 2015-11-18 | 中国科学院合肥物质科学研究院 | Pollutant transport flux measurement and calculation method based on ground-based MAX-DOAS |
| CN106126903A (en) * | 2016-06-21 | 2016-11-16 | 北京市环境保护监测中心 | The computational methods of PM2.5 three-dimensional transport fluxes and device |
Non-Patent Citations (2)
| Title |
|---|
| 高婷等: "惠州市大气环境容量核定技术研究", 《环境科学与管理》 * |
| 黄桂平: "ISC3大气污染物扩散模型核心算法", 《黑龙江科技信息》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112213444A (en) * | 2020-08-28 | 2021-01-12 | 浙江工业大学 | Source tracing method for time slice analysis of atmospheric pollution micro-monitoring network |
| CN117237647A (en) * | 2023-11-15 | 2023-12-15 | 成都嘉德数源环保科技有限公司 | Atmospheric pollution monitoring system and method |
| CN117237647B (en) * | 2023-11-15 | 2024-01-26 | 成都嘉德数源环保科技有限公司 | Atmospheric pollution monitoring system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lee et al. | NAQFC developmental forecast guidance for fine particulate matter (PM 2.5) | |
| Munir et al. | Modeling particulate matter concentrations in Makkah, applying a statistical modeling approach | |
| Li et al. | Impacts of wind fields on the distribution patterns of traffic emitted particles in urban residential areas | |
| CN109613182A (en) | Monitoring location site selecting method and device based on atmosphere pollution | |
| Shafiev et al. | Studies of the influence of vegetation cover on the process of transfer and diffusion of harmful substances in the atmosphere | |
| CN103258116A (en) | Method for constructing atmospheric pollutant diffusion model | |
| CN109669005A (en) | A kind of atmosphere pollution transmission quantization method and device | |
| CN107145668A (en) | Evaluation method and device of the power plant stack gas pollutant emission to regional atmospheric haze | |
| CN110174106A (en) | A kind of healthy walking paths planning method and terminal device based on PM2.5 | |
| Hong et al. | Measurement and prediction of soil erosion in dry field using portable wind erosion tunnel | |
| CN109472002A (en) | Concentration distribution of pollutants map generalization method and device | |
| CN114077798B (en) | Method for estimating grid concentration of atmospheric pollutants in small-scale area | |
| Patterson et al. | Monte Carlo simulation of daily regional sulfur distribution: comparison with SURE sulfate data and visual range observations during August 1977 | |
| Metcalfe et al. | Acid deposition modelling and the interpretation of the United Kingdom secondary precipitation network data | |
| Grawe et al. | Comparison of results of an obstacle resolving microscale model with wind tunnel data | |
| CN113970511A (en) | Air particulate matter data monitoring system and method based on BP neural network | |
| CN104237095B (en) | Airborne dust discharge measuring system and measuring method during a kind of road-cleaning | |
| CN109085100A (en) | The determination method and device of pollutant concentration | |
| CN117455110A (en) | Carbon emission monitoring and evaluating method considering carbon emission point source diffusion | |
| CN109507367A (en) | Determine the method and device of atmosphere pollution fining distribution | |
| Fadavi et al. | Evaluation of AERMOD for distribution modeling of particulate matters (Case study: Ardestan Cement Factory) | |
| Yongjie et al. | Effect of Construction Dust on Urban PM 2.5 Emission Characteristics: A Case Study of the Main Urban Area of Chongqing, China. | |
| Cheng et al. | Inverse AERMOD and SCIPUFF dispersion modeling for farm-level PM10 emission rate assessment | |
| Till et al. | Comparison of the MACCS2 atmospheric transport model with Lagrangian puff models as applied to deterministic and probabilistic safety analysis | |
| Raynor | Effects of a forest on particulate dispersion |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190423 |