CN107894492A - A kind of urban atmospheric pollution method of real-time - Google Patents
A kind of urban atmospheric pollution method of real-time Download PDFInfo
- Publication number
- CN107894492A CN107894492A CN201711192381.8A CN201711192381A CN107894492A CN 107894492 A CN107894492 A CN 107894492A CN 201711192381 A CN201711192381 A CN 201711192381A CN 107894492 A CN107894492 A CN 107894492A
- Authority
- CN
- China
- Prior art keywords
- real
- pollution
- information
- time
- monitoring
- 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
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012544 monitoring process Methods 0.000 claims abstract description 54
- 230000007613 environmental effect Effects 0.000 claims abstract description 9
- 238000001514 detection method Methods 0.000 claims abstract description 7
- 238000003915 air pollution Methods 0.000 claims abstract description 6
- 238000013439 planning Methods 0.000 claims abstract description 6
- 239000003344 environmental pollutant Substances 0.000 claims description 7
- 231100000719 pollutant Toxicity 0.000 claims description 7
- 238000012360 testing method Methods 0.000 claims description 7
- 239000004215 Carbon black (E152) Substances 0.000 claims description 6
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 claims description 6
- 229930195733 hydrocarbon Natural products 0.000 claims description 6
- 150000002430 hydrocarbons Chemical class 0.000 claims description 6
- 238000011161 development Methods 0.000 claims description 5
- 230000004927 fusion Effects 0.000 claims description 5
- 238000001556 precipitation Methods 0.000 claims description 5
- 239000000428 dust Substances 0.000 claims description 3
- 239000002245 particle Substances 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 claims description 3
- 238000012876 topography Methods 0.000 claims description 3
- 238000013316 zoning Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 abstract description 3
- 238000013480 data collection Methods 0.000 abstract 1
- 230000008021 deposition Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 2
- VMXUWOKSQNHOCA-UKTHLTGXSA-N ranitidine Chemical compound [O-][N+](=O)\C=C(/NC)NCCSCC1=CC=C(CN(C)C)O1 VMXUWOKSQNHOCA-UKTHLTGXSA-N 0.000 description 2
- 239000000779 smoke Substances 0.000 description 2
- 239000002253 acid Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000002689 soil Substances 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
Landscapes
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Combustion & Propulsion (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of urban atmospheric pollution method of real-time, including following steps：Step S1：Collection monitors The Surroundings in Cities information, establishes environment data base；Step S2：Field monitoring point collection site data are set；Wherein, the distribution of Site Detection point includes height distribution and area distribution；Step S3：Provide on-site data gathering time and frequency；Step S4：Air pollution model is established with reference to the field data in the environment data base in step S1 and step S2, carries out atmosphere pollution monitoring in real time and pollution interpretation of result.Pass through the natural environment information, social environment information, regional pollution source information in monitored city reasonably to formulate monitoring station, planning monitoring project, arrange sampling time and frequency, urban atmospheric pollution monitoring model is established in conjunction with existing environmental information and monitoring station real-time data collection, in real time, efficiently and accurately urban atmospheric pollution is monitored so as to realize.
Description
Technical field
The present invention relates to air monitoring field, is a kind of urban atmospheric pollution method of real-time specifically.
Background technology
Deepened continuously recently as to Air Pollution Control, and with to dirts such as acid deposition, photochemical fog, gray hazes
The continuous intensification of feature understanding is contaminated, the public has started to recognize presence and the seriousness of atmosphere polluting problem.China's air pollution
It is changed into coal smoke and tail gas pollution of motor-driven vehicle via coal-smoke pollution and the compound pollution deposited, atmospheric oxidn ability constantly increases
By force, considerable regional region property multiple pollutant is simultaneously with high concentration and the severe situation deposited.The problem not only turns into
The serious environmental problems of China's characteristic, and the study frontier of world's atmosphere scientific domain.The degree of atmosphere pollution and region
Economic development level has much relations, and three megalopolis using Jing-jin-ji region, the Yangtze River Delta and Pearl River Delta as representative are not only China's warp
The most fast area of development level of helping, while be also the case area that atmosphere pollution prevention and control research is more concentrated.
Therefore, the monitoring for atmosphere pollution in city just becomes extremely important, but existing air monitoring side
Method is too single, and often simply the various pollutants in air in city are carried out with special sensor detection record current number
According to having no idea to accomplish environmental forecasting and analysis, and imperfect, monitoring station the setting of monitoring project is unreasonable, pollution
Source it is unclear, result in relying on data foundation atmosphere pollution monitoring model be restricted, so as to have a strong impact on the standard of monitoring
True property.Be due to again collection data it is more, required sensor is also very various, it is therefore desirable to gathered data is carried out regular
Correction, use and excessively bother, practicality is not strong.
The content of the invention
, can be according to monitored city it is an object of the invention to provide a kind of urban atmospheric pollution method of real-time
Various ambient conditions reasonably formulate monitoring station, planning monitoring project, arrange sampling time and frequency, so as to realize height
Effect, exactly urban atmospheric pollution monitor.
The present invention is achieved through the following technical solutions：A kind of urban atmospheric pollution method of real-time, including it is following
Step：
Step S1：Collection monitors The Surroundings in Cities information, establishes environment data base；
Step S2：Field monitoring point collection site data are set；Wherein, the distribution of Site Detection point includes height distribution and region
Distribution；
Step S3：Provide on-site data gathering time and frequency；
Step S4：Air pollution model is established with reference to the field data in the environment data base in step S1 and step S2, is carried out
Atmosphere pollution monitoring in real time and pollution interpretation of result.
In order to preferably realize the present invention, further, the urban environment information collected in the step S1 includes nature
Environmental information, social environment information, regional pollution source information；The social environment condition information includes Regional development planning, ring
Border function zoning, vehicular traffic information, population distribution and population health, the distribution of environment sensitive spot area.It is logical to collect urban environment letter
Breath, monitoring station, selection monitoring project, division monitored area and prediction atmosphere pollution are more targetedly set
Situation.
In order to preferably realize the present invention, further, the natural environment information includes region topography and geomorphology information, soil
Ground utilization power information, meteorology and climate situation information.Because air is by the strong shadow of the factors such as meteorology, season, landform, atural object
Ring, and with the change in time and space.Thus, nature environmental information is collected in all directions carrys out auxiliary monitoring atmosphere pollution, can
Improve monitoring accuracy.
In order to preferably realize the present invention, further, the meteorology and climate situation information include wind speed, wind direction, temperature,
Air pressure, precipitation, sunshine-duration, relative humidity, vertical gradient and inversion layer bottom level.By wind speed, wind direction, temperature,
Air pressure, precipitation, the collection of sunshine-duration, relative humidity, vertical gradient and inversion layer bottom level, comprehensively determine to influence
Factor, further improve monitoring accuracy.
In order to preferably realize the present invention, further, the regional pollution source packet includes the type of pollution sources, pollution
The distribution in source and pollutant emission source.By carrying out comprehensive collection to regional pollution source information, rationally to set monitoring station
And the project that monitoring station is monitored.
In order to preferably realize the present invention, further, the field data of the field monitoring point collection in the step S2
Including sulfur dioxide concentration, oxynitride concentration, suspended particle concentration, Dust deposition, hydrocarbon concentration,
Hydrocarbon concentration.By carrying out comprehensive monitoring to various major pollutants, monitoring efficiency is improved.
In order to preferably realize the present invention, further, the area distribution in the step S2 includes following steps：
Step S21：According to city industrial area, shopping centre, the area that is densely populated, the frequent area of traffic, clear area, several are set respectively
Test point；
Step S22：Apart from industrial area, shopping centre, the area that is densely populated, the frequent area of traffic, clear area nearest upwind point
Control point and sampled point are set respectively with lower wind direction point.Test point is set by subregion, allows the position of monitoring point to have preferably
Representativeness, the measured value of test point can preferably react the atmosphere quality or level of pollution and rule in the region.And pass through
The control point of upwind point and the sampled point of lower wind direction point are set, the change of atmosphere quality can be can be apparent that, can be just
In it is determined that pollution sources region.
In order to preferably realize the present invention, further, on-site data gathering time and frequency are provided in the step S3
Method be：The next day sample, daily continuous 24 hours, monthly 14-16 days, annual 12 months.Combine real-time detector data and
On the basis of the monitoring model of urban environment Database, rational data acquisition time and frequency are formulated, not only enhances prison
Stability, the continuity of model are surveyed, ensure that the accuracy of monitoring, and avoids the detection of frequent time, improves monitoring
Efficiency.
In order to preferably realize the present invention, further, needed before Atmospheric models are established in the step S4 to live number
According to being merged.Filtration treatment is carried out to data by fusion, simplifies data processing.
In order to preferably realize the present invention, further, the field data is melted by synchronous data fusion algorithm
Close.It can be effectively improved to tracking and identification of the sensor of on-site data gathering to target.
The present invention compared with prior art, has advantages below and beneficial effect：
The present invention passes through the natural environment information, social environment information, regional pollution source information in monitored city reasonably to make
Determine monitoring station, planning monitoring project, arrange sampling time and frequency, adopted in real time in conjunction with existing environmental information and monitoring station
Collection data establish urban atmospheric pollution monitoring model, and in real time, efficiently and accurately urban atmospheric pollution is supervised so as to realize
Survey.
Brief description of the drawings
Nothing.
Embodiment
Embodiment 1：
A kind of urban atmospheric pollution method of real-time of the present embodiment, including following steps：
Step S1：Collection monitors The Surroundings in Cities information, establishes environment data base；
Step S2：Field monitoring point collection site data are set；Wherein, the distribution of Site Detection point includes height distribution and region
Distribution；
Step S3：Provide on-site data gathering time and frequency；
Step S4：Air pollution model is established with reference to the field data in the environment data base in step S1 and step S2, is carried out
Atmosphere pollution monitoring in real time and pollution interpretation of result.
The urban environment information collected in the step S1 includes natural environment information, social environment information, regional pollution
Source information；The social environment condition information includes Regional development planning, environmental functional zoning, vehicular traffic information, population point
Cloth and population health, the distribution of environment sensitive spot area.It is logical to collect urban environment information, more targetedly set monitoring station,
Select monitoring project, division monitored area and prediction atmosphere pollution situation.
Embodiment 2：
The present embodiment does further optimization on the basis of embodiment 1, and the natural environment information is believed including region topography and geomorphology
Breath, land use situation information, meteorology and climate situation information.Because air is strong by the factors such as meteorology, season, landform, atural object
Strong influence, and with the change in time and space.Thus, nature environmental information is collected in all directions carrys out auxiliary monitoring atmosphere pollution,
Monitoring accuracy can be improved.
The meteorology and climate situation information include wind speed, wind direction, temperature, air pressure, precipitation, the sunshine-duration, relative humidity,
Vertical gradient and inversion layer bottom level.By wind speed, wind direction, temperature, air pressure, precipitation, the sunshine-duration, relative humidity,
The collection of vertical gradient and inversion layer bottom level, comprehensively determines influence factor, further improves monitoring accuracy.
The regional pollution source packet includes the type of pollution sources, the distribution of pollution sources and pollutant emission source.By right
Regional pollution source information carries out comprehensive collection, rationally to set the project that monitoring station and monitoring station are monitored.
It is dense that the field data of field monitoring point collection in the step S2 includes sulfur dioxide concentration, oxynitrides
Degree, suspended particle concentration, Dust deposition, hydrocarbon concentration, hydrocarbon concentration.By to various main
Pollutant carries out comprehensive monitoring, improves monitoring efficiency.
Area distribution in the step S2 includes following steps：
Step S21：According to city industrial area, shopping centre, the area that is densely populated, the frequent area of traffic, clear area, several are set respectively
Test point；
Step S22：Apart from industrial area, shopping centre, the area that is densely populated, the frequent area of traffic, clear area nearest upwind point
Control point and sampled point are set respectively with lower wind direction point.Test point is set by subregion, allows the position of monitoring point to have preferably
Representativeness, the measured value of test point can preferably react the atmosphere quality or level of pollution and rule in the region.And pass through
The control point of upwind point and the sampled point of lower wind direction point are set, the change of atmosphere quality can be can be apparent that, can be just
In it is determined that pollution sources region.
The method of regulation on-site data gathering time and frequency is in the step S3：The next day sample, it is continuous 24 small daily
When, monthly 14-16 days, annual 12 months.Combining the monitoring model base of real-time detector data and urban environment Database
On plinth, rational data acquisition time and frequency are formulated, stability, the continuity of monitoring model is not only enhanced, ensure that prison
The accuracy of survey, and the detection of frequent time is avoided, improve monitoring efficiency.
Need to merge field data before establishing Atmospheric models in the step S4.Data were carried out by fusion
Filter is handled, and simplifies data processing.
The field data is merged by synchronous data fusion algorithm.It can be effectively improved to on-site data gathering
Tracking and identification of the sensor to target.
The other parts of the present embodiment are same as Example 1, therefore repeat no more.
It is described above, be only presently preferred embodiments of the present invention, any formal limitation not done to the present invention, it is every according to
Any simply modification, the equivalent variations made according to the technical spirit of the present invention to above example, each fall within the protection of the present invention
Within the scope of.
Claims (10)
- A kind of 1. urban atmospheric pollution method of real-time, it is characterised in that：Including following steps：Step S1：Collection monitors The Surroundings in Cities information, establishes environment data base；Step S2：Field monitoring point collection site data are set；Wherein, the distribution of Site Detection point includes height distribution and region Distribution；Step S3：Provide on-site data gathering time and frequency；Step S4：Air pollution model is established with reference to the field data in the environment data base in step S1 and step S2, is carried out Atmosphere pollution monitoring in real time and pollution interpretation of result.
- A kind of 2. urban atmospheric pollution method of real-time according to claim 1, it is characterised in that：In the step S1 The urban environment information of collection includes natural environment information, social environment information, regional pollution source information；The social environment shape Condition information includes Regional development planning, environmental functional zoning, vehicular traffic information, population distribution and population health, environment sensitive The distribution of point area.
- A kind of 3. urban atmospheric pollution method of real-time according to claim 2, it is characterised in that：The natural environment Information includes region topography and geomorphology information, land use situation information, meteorology and climate situation information.
- A kind of 4. urban atmospheric pollution method of real-time according to claim 3, it is characterised in that：The meteorology and climate Situation information includes wind speed, wind direction, temperature, air pressure, precipitation, sunshine-duration, relative humidity, vertical gradient and inversion layer bottom Portion's height.
- A kind of 5. urban atmospheric pollution method of real-time according to claim 2, it is characterised in that：The regional pollution Source information includes the type of pollution sources, the distribution of pollution sources and pollutant emission source.
- A kind of 6. urban atmospheric pollution method of real-time according to claim 1, it is characterised in that：In the step S2 Field monitoring point collection field data include sulfur dioxide concentration, oxynitride concentration, suspended particle concentration, dust Natural subsidence amount, hydrocarbon concentration, hydrocarbon concentration.
- A kind of 7. urban atmospheric pollution method of real-time according to claim 1, it is characterised in that：In the step S2 Area distribution include following steps：Step S21：According to city industrial area, shopping centre, the area that is densely populated, the frequent area of traffic, clear area, several are set respectively Test point；Step S22：Apart from industrial area, shopping centre, the area that is densely populated, the frequent area of traffic, clear area nearest upwind point Control point and sampled point are set respectively with lower wind direction point.
- A kind of 8. urban atmospheric pollution method of real-time according to claim 1, it is characterised in that：In the step S3 The method of regulation on-site data gathering time and frequency is：The next day sample, daily continuous 24 hours, monthly 14-16 days, annual 12 Individual month.
- A kind of 9. urban atmospheric pollution method of real-time according to claim 1, it is characterised in that：In the step S4 Need to merge field data before establishing Atmospheric models.
- A kind of 10. urban atmospheric pollution method of real-time according to claim 9, it is characterised in that：The live number Merged according to by synchronous data fusion algorithm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711192381.8A CN107894492A (en) | 2017-11-24 | 2017-11-24 | A kind of urban atmospheric pollution method of real-time |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711192381.8A CN107894492A (en) | 2017-11-24 | 2017-11-24 | A kind of urban atmospheric pollution method of real-time |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107894492A true CN107894492A (en) | 2018-04-10 |
Family
ID=61806039
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711192381.8A Pending CN107894492A (en) | 2017-11-24 | 2017-11-24 | A kind of urban atmospheric pollution method of real-time |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107894492A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108593850A (en) * | 2018-04-28 | 2018-09-28 | 大唐环境产业集团股份有限公司 | The representative measurement point characteristic parameter that flue gas composition concentration total cross-section measures determines method |
| CN108761568A (en) * | 2018-06-08 | 2018-11-06 | 兰州大学 | Environment control method, device, system and server |
| CN109055479A (en) * | 2018-09-10 | 2018-12-21 | 山东省科学院生态研究所 | A kind of Orographic inversion region gray haze air pollution degree detection method for early warning |
| CN109115949A (en) * | 2018-07-26 | 2019-01-01 | 郑州轻工业学院 | Pollution source tracing method and computer-readable medium based on big data |
| CN109238931A (en) * | 2018-09-20 | 2019-01-18 | 佛山科学技术学院 | A kind of municipal pollution particle concentration monitoring method |
| CN109765149A (en) * | 2018-12-27 | 2019-05-17 | 北京英视睿达科技有限公司 | A kind of method and device determining dustfall content based on overall suspended pellet |
| CN109934377A (en) * | 2018-12-29 | 2019-06-25 | 段文旭 | A kind of the interaction factor control analysis of industrial pollution source synthesis and prediction technique of fine particle |
| CN109992740A (en) * | 2019-02-14 | 2019-07-09 | 北京市环境保护监测中心 | A method of it is horizontal that pollution sources actual discharge being calculated based on database |
| CN110567767A (en) * | 2019-09-20 | 2019-12-13 | 新疆大学 | Dust sampling method based on collector dot-matrix arrangement |
| CN111558274A (en) * | 2020-05-21 | 2020-08-21 | 湖南苍雨环保科技有限公司 | Spraying haze removal control method and spraying haze removal device |
| CN112798743A (en) * | 2020-12-31 | 2021-05-14 | 浙江亚凯检测科技有限公司 | Detection method of air pollutants |
| CN114088885A (en) * | 2021-11-22 | 2022-02-25 | 安徽中科大赛悟科技有限公司 | Atmospheric pollutants detecting system that walks to navigate |
-
2017
- 2017-11-24 CN CN201711192381.8A patent/CN107894492A/en active Pending
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108593850A (en) * | 2018-04-28 | 2018-09-28 | 大唐环境产业集团股份有限公司 | The representative measurement point characteristic parameter that flue gas composition concentration total cross-section measures determines method |
| CN108761568A (en) * | 2018-06-08 | 2018-11-06 | 兰州大学 | Environment control method, device, system and server |
| CN109115949B (en) * | 2018-07-26 | 2020-12-11 | 郑州轻工业学院 | Big data based pollution tracing method and computer readable medium |
| CN109115949A (en) * | 2018-07-26 | 2019-01-01 | 郑州轻工业学院 | Pollution source tracing method and computer-readable medium based on big data |
| CN109055479A (en) * | 2018-09-10 | 2018-12-21 | 山东省科学院生态研究所 | A kind of Orographic inversion region gray haze air pollution degree detection method for early warning |
| CN109238931A (en) * | 2018-09-20 | 2019-01-18 | 佛山科学技术学院 | A kind of municipal pollution particle concentration monitoring method |
| CN109765149A (en) * | 2018-12-27 | 2019-05-17 | 北京英视睿达科技有限公司 | A kind of method and device determining dustfall content based on overall suspended pellet |
| CN109765149B (en) * | 2018-12-27 | 2021-12-03 | 北京英视睿达科技有限公司 | Method and device for determining dust reduction amount based on total suspended particulate matters |
| CN109934377A (en) * | 2018-12-29 | 2019-06-25 | 段文旭 | A kind of the interaction factor control analysis of industrial pollution source synthesis and prediction technique of fine particle |
| CN109992740A (en) * | 2019-02-14 | 2019-07-09 | 北京市环境保护监测中心 | A method of it is horizontal that pollution sources actual discharge being calculated based on database |
| CN109992740B (en) * | 2019-02-14 | 2023-07-14 | 北京市环境保护监测中心 | Method for calculating actual emission level of pollution source based on database |
| CN110567767A (en) * | 2019-09-20 | 2019-12-13 | 新疆大学 | Dust sampling method based on collector dot-matrix arrangement |
| CN111558274A (en) * | 2020-05-21 | 2020-08-21 | 湖南苍雨环保科技有限公司 | Spraying haze removal control method and spraying haze removal device |
| CN112798743A (en) * | 2020-12-31 | 2021-05-14 | 浙江亚凯检测科技有限公司 | Detection method of air pollutants |
| CN114088885A (en) * | 2021-11-22 | 2022-02-25 | 安徽中科大赛悟科技有限公司 | Atmospheric pollutants detecting system that walks to navigate |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107894492A (en) | A kind of urban atmospheric pollution method of real-time | |
| Wang et al. | Spatial-temporal characteristics and determinants of PM2. 5 in the Bohai Rim Urban Agglomeration | |
| Wu et al. | Using the modified i-Tree Eco model to quantify air pollution removal by urban vegetation | |
| Hagler et al. | Field investigation of roadside vegetative and structural barrier impact on near-road ultrafine particle concentrations under a variety of wind conditions | |
| Mathew et al. | Prediction of surface temperatures for the assessment of urban heat island effect over Ahmedabad city using linear time series model | |
| Salmabadi et al. | Transport routes and potential source regions of the Middle Eastern dust over Ahvaz during 2005–2017 | |
| Najafi et al. | Characteristics of TSP loads during the Middle East springtime dust storm (MESDS) in Western Iran | |
| Hou et al. | Inter-annual variability in fine particulate matter pollution over China during 2013–2018: Role of meteorology | |
| Cereceda-Balic et al. | Impact of Santiago de Chile urban atmospheric pollution on anthropogenic trace elements enrichment in snow precipitation at Cerro Colorado, Central Andes | |
| Wu et al. | Urban road greenbelt configuration: The perspective of PM2. 5 removal and air quality regulation | |
| CN108280789B (en) | Space analysis method for influence among fine space-time scale carbon dioxide emission elements | |
| Cao et al. | Using a distributed air sensor network to investigate the spatiotemporal patterns of PM2. 5 concentrations | |
| CN107491566B (en) | Method for quantitatively researching PM2.5 purification effect of urban forest | |
| Heintzenberg et al. | New particle formation in the Svalbard region 2006–2015 | |
| Huang et al. | Seasonal variations, speciation and possible sources of mercury in the snowpack of Zhadang glacier, Mt. Nyainqêntanglha, southern Tibetan Plateau | |
| Dimitriou et al. | Decomposing the profile of PM in two low polluted German cities–mapping of air mass residence time, focusing on potential long range transport impacts | |
| CN109357716A (en) | A kind of heavily contaminated local pollution control data real-time collection method | |
| Yu et al. | A modeling study of PM2. 5 transboundary transport during a winter severe haze episode in southern Yangtze River Delta, China | |
| Ponette-González et al. | Urban edge trees: Urban form and meteorology drive elemental carbon deposition to canopies and soils | |
| Sasmita et al. | Assessment of sources and health impacts of PM10 in an urban environment over eastern coastal plain of India | |
| Liu et al. | Characteristics and mechanism of a persistent ozone pollution event in Pearl River Delta induced by typhoon and subtropical high | |
| Long et al. | Numerical simulation of the influence of major meteorological elements on the concentration of air pollutants during rainfall over Sichuan Basin of China | |
| Raihan | A review on the role of green vegetation in improving urban environmental quality | |
| Yang et al. | Unveiling the air pollution tapestry in China: A comprehensive assessment of spatiotemporal variations through geographically and temporally weighted regression | |
| Shahrin et al. | Land use and land cover (LULC) modification on the climate and air quality variations |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180410 |
|
| WD01 | Invention patent application deemed withdrawn after publication |