CN108984960A - A kind of volatility organic contamination is quickly accurately positioned and samples points distributing method - Google Patents
A kind of volatility organic contamination is quickly accurately positioned and samples points distributing method Download PDFInfo
- Publication number
- CN108984960A CN108984960A CN201810921745.XA CN201810921745A CN108984960A CN 108984960 A CN108984960 A CN 108984960A CN 201810921745 A CN201810921745 A CN 201810921745A CN 108984960 A CN108984960 A CN 108984960A
- Authority
- CN
- China
- Prior art keywords
- volatile organic
- organic matter
- doubtful
- area
- accurately positioned
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000011109 contamination Methods 0.000 title claims abstract description 14
- 239000005416 organic matter Substances 0.000 claims abstract description 28
- 238000001514 detection method Methods 0.000 claims abstract description 12
- 238000012360 testing method Methods 0.000 claims abstract description 4
- 238000013459 approach Methods 0.000 claims description 7
- 239000010410 layer Substances 0.000 claims description 3
- 238000001228 spectrum Methods 0.000 claims description 3
- 239000002344 surface layer Substances 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 2
- 239000000356 contaminant Substances 0.000 abstract description 3
- 230000007613 environmental effect Effects 0.000 abstract description 2
- 239000012855 volatile organic compound Substances 0.000 description 6
- 238000005070 sampling Methods 0.000 description 5
- 230000002265 prevention Effects 0.000 description 4
- CBENFWSGALASAD-UHFFFAOYSA-N Ozone Chemical compound [O-][O+]=O CBENFWSGALASAD-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000010419 fine particle Substances 0.000 description 1
- 238000002329 infrared spectrum Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000002957 persistent organic pollutant Substances 0.000 description 1
- 239000002243 precursor Substances 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- 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
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/0047—Organic compounds
-
- 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
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Analytical Chemistry (AREA)
- Combustion & Propulsion (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Geometry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Sampling And Sample Adjustment (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
Abstract
Present invention mainly discloses a kind of volatility organic contaminations to be quickly accurately positioned and sample points distributing method, it is related to technical field of environmental detection, by volatile organic matter detection device to doubtful Polluted area rapid scout scan, equipment is measured in surface movement, acquires real time data；Earth's surface volatile organic matter concentration, temperature, humidity and the wind direction and wind velocity of earth's surface, it will test data input computer, concentration on ground is carried out by Krieger Spatial Interpolation Method using frequently-used data analysis software, and is fitted the volatile organic matter concentration profile to form all standing with wind direction, wind speed, surface temperature；According to doubtful Polluted area land status, volatile organic matter concentration standard value is set, and it is " doubtful clear area " lower than standard value that it is " doubtful contaminated area " that volatile organic matter concentration, which is greater than standard value,.It can quickly identify that the distribution situation of volatile organic contaminant, save the cost save the time.
Description
Technical field
The invention mainly relates to technical field of environmental detection, specifically a kind of volatility organic contamination be quickly accurately positioned and
Sample points distributing method.
Background technique
Volatile organic matter (VOCs) be to be formed the secondary pollutions such as fine particle (PM2.5), ozone (O3) it is important before
Body object, and then cause the atmospheric environments problems such as gray haze, photochemical fog.With China's industrialization and urbanization it is fast-developing with
And the sustainable growth of energy-consuming, it is become increasingly conspicuous by regionality compound atmosphere pollution of the PM2.5 with characterized by, air in region
The frequency that heavily contaminated phenomenon occurs simultaneously on a large scale is increasing, and the serious sustainable development for restricting social economy threatens the people
Masses' health.In order to solve the pollution problems such as PM2.5, O3 at all, improve atmosphere quality conscientiously.Country should actively push away
Prevention and cure of pollution into its key precursor object VOCs work.But China VOCs prevention and cure of pollution basis is more weak at present, there is row
Put the problems such as radix is unclear, statutory standard is unsound, control technology application lags, environment supervision is not in place.Simultaneously as
VOCs discharge source is complicated, form of export is various, substance classes are various, then it is larger to establish VOCs prevention and cure of pollution system difficulty.Cause
How this, suit the practical of China and carry out VOCs prevention and cure of pollution comprehensively, be the task of a very urgent, arduous complexity.
The system sensor distributing used in volatility organic contamination site investigation at present cannot be determined by reconnaissance trip
Pollution distribution, the difficult region for quickly judging emphasis pollution cause later period sensor distributing complicated, and the sample detecting period is long, at high cost
The problems such as.
Summary of the invention
In view of the deficiencies in the prior art and defect, the purpose of the present invention is to provide can quickly identify volatility
The distribution situation of organic pollutant, save the cost, a kind of time saving volatility organic contamination are quickly accurately positioned and sample
Points distributing method.
In order to solve the above-mentioned technical problem, the present invention adopts the following technical scheme: a kind of volatility organic contamination is quickly smart
Determine position and sampling points distributing method, including
(1) by volatile organic matter detection device to doubtful Polluted area rapid scout scan, equipment is in surface movement
Measurement acquires real time data (earth's surface volatile organic matter concentration, the temperature of earth's surface, humidity, wind direction, wind speed)；
(2) it will test data input computer, passed through earth's surface volatile organic matter concentration using frequently-used data analysis software
Krieger Spatial Interpolation Method establishes distributed model；
(3) the volatile organic matter concentration to form all standing is further fitted with the temperature of earth's surface, humidity, wind direction, wind speed
Distribution map；
(4) on the basis of volatile organic matter concentration profile, using systems approach space sensor distributing, determine that ground is adopted
Sampling point and prediction samples depth determine number of samples to the concentration variation prediction of each sampled point.
(5) according to doubtful Polluted area land use property, volatile organic matter concentration standard value is set, volatility is organic
It is " doubtful contaminated area " that object concentration, which is greater than standard value, is " doubtful clear area " lower than standard value." doubtful contaminated area " is pressed
It is divided into emphasis contaminated area, general contaminated area, slight pollution area according to concentration scale.
As a further improvement of the present invention, volatile organic matter detection device is portable detection equipment, including but not
It is limited to FID/PID detector, infrared spectrum analyser, laser spectrum analyser, gas chromatograph-mass spectrometer etc..
As a further improvement of the present invention, the systems approach space, which each of layouts to layout, is square central point, institute
State 1/20th that square side length is doubtful Polluted area square length.
The prediction samples depth is surface layer (0-30cm), lower layer (30-150cm).
As a further improvement of the present invention, the Data Analysis Software is surfer8.0 software.
Compared with prior art, the device have the advantages that are as follows: the present invention can quickly identify the organic dirt of volatility
Contaminate the distribution situation of object, save the cost saves the time, stationing mode of the invention can not only accurately distinguish emphasis contaminated area and
General contaminated area, and can accurately determine the distribution of sampled point and the quantity of sampling depth and each sampled point.
Detailed description of the invention
The present invention is further illustrated with reference to the accompanying drawings and detailed description:
Fig. 1 is the flow chart that a kind of volatility organic contamination of the use of the new type was quickly accurately positioned and sampled points distributing method.
It is worth noting that, in the description of the present invention, term " center ", "upper", "lower", "left", "right", "vertical",
The orientation or positional relationship of the instructions such as "horizontal", "inner", "outside" be based on the orientation or positional relationship shown in the drawings, merely to
Convenient for description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation,
It is constructed and operated in a specific orientation, therefore is not considered as limiting the invention.In addition, term " first ", " second ",
" third " is used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood at this with concrete condition
Concrete meaning in invention.
Specific embodiment
It is right in the following with reference to the drawings and specific embodiments in order to which technical solution of the present invention and beneficial effect are more clearly understood
The present invention is described in further detail, it should be understood that and the specific embodiments described herein are only used for understanding the present invention,
Be not intended to limit the present invention, it is obtained by those of ordinary skill in the art without making creative efforts it is all its
His embodiment, shall fall within the protection scope of the present invention.
Embodiment 1, a kind of volatility organic contamination are quickly accurately positioned and sample points distributing method, including (1) passes through volatilization
Property organic matter detection device to doubtful Polluted area rapid scout scan, equipment is measured in surface movement, acquires real time data (
Table volatile organic matter concentration, the temperature of earth's surface, humidity, wind direction, wind speed)；(2) it will test data input computer, using common
Earth's surface volatile organic matter concentration progress Krieger Spatial Interpolation Method is established distributed model by Data Analysis Software；(3) further
The volatile organic matter concentration profile to form all standing is fitted with the temperature of earth's surface, humidity, wind direction, wind speed；(4) in volatility
On the basis of organic concentration distribution map, using systems approach space sensor distributing, definitely surface sample point and prediction samples are deep
Degree, determines number of samples to the concentration variation prediction of each sampled point.(5) according to doubtful Polluted area land use property, if
Volatile organic matter concentration standard value is set, it is " doubtful contaminated area " that volatile organic matter concentration, which is greater than standard value, is lower than standard
Value is " doubtful clear area "." doubtful contaminated area " is divided into emphasis contaminated area, general contaminated area, slight dirt according to concentration scale
Contaminate area.
Volatile organic matter detection device is portable detection equipment, including but not limited to FID/PID detector, infrared point
Analyzer, laser spectrum analyser, gas chromatograph-mass spectrometer etc..
The systems approach space, which each of layouts to layout, is square central point, and the square side length is doubtful contaminated area
/ 20th of domain square length.
The prediction samples depth is surface layer (0-30cm), lower layer (30-150cm).
The Data Analysis Software is surfer8.0 software.
Situations such as this programme is by the analysis soil texture, surface humidity is gone out data analysis interpretation by computer software
The Modeling The Concentration Profiles of underground volatile organic contaminant, on the basis of the model, using systems approach space sensor distributing, really
Determine ground sampled point and prediction samples depth, number of samples is determined to the concentration variation prediction of each sampled point.It can be quick
Identify that the distribution situation of volatile organic contaminant, save the cost save the time, stationing mode of the invention not only can be accurate
Distinguish emphasis contaminated area and general contaminated area, and can accurately determine sampled point distribution and sampling depth with each adopt
The quantity of sampling point.
Claims (5)
1. a kind of volatility organic contamination is quickly accurately positioned and samples points distributing method, it is characterised in that: including
(1) by volatile organic matter detection device to doubtful Polluted area rapid scout scan, equipment is measured in surface movement,
It acquires real time data (earth's surface volatile organic matter concentration, the temperature of earth's surface, humidity, wind direction, wind speed)；
(2) it will test data input computer, it will be in the progress gram of earth's surface volatile organic matter concentration using frequently-used data analysis software
Grid space interpolation method establishes distributed model；
(3) the volatile organic matter concentration distribution to form all standing is further fitted with the temperature of earth's surface, humidity, wind direction, wind speed
Figure；
(4) on the basis of volatile organic matter concentration profile, using systems approach space sensor distributing, definitely surface sample point
And prediction samples depth, number of samples is determined to the concentration variation prediction of each sampled point.
(5) according to doubtful Polluted area land use property, volatile organic matter concentration standard value is set, volatile organic matter is dense
It is " doubtful contaminated area " that degree, which is greater than standard value, is " doubtful clear area " lower than standard value.By " doubtful contaminated area " according to dense
Degree ranking score is emphasis contaminated area, general contaminated area, slight pollution area.
2. a kind of volatility organic contamination according to claim 1 is quickly accurately positioned and samples points distributing method, feature
Be: volatile organic matter detection device is portable detection equipment, including but not limited to FID/PID detector, infrared analysis
Instrument, laser spectrum analyser, gas chromatograph-mass spectrometer etc..
3. a kind of volatility organic contamination according to claim 1 is quickly accurately positioned and samples points distributing method, feature
Be: each of the systems approach space, which is layouted, layouts and is square central point, and the square side length is doubtful Polluted area
/ 20th of square length.
4. a kind of volatility organic contamination according to claim 1 is quickly accurately positioned and samples points distributing method, feature
Be: the prediction samples depth is surface layer (0-30cm), lower layer (30-150cm).
5. a kind of volatility organic contamination according to claim 1 is quickly accurately positioned and samples points distributing method, feature
Be: the Data Analysis Software is surfer8.0 software.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810921745.XA CN108984960B (en) | 2018-08-14 | 2018-08-14 | Rapid and accurate positioning and sampling point distribution method for volatile organic pollution |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810921745.XA CN108984960B (en) | 2018-08-14 | 2018-08-14 | Rapid and accurate positioning and sampling point distribution method for volatile organic pollution |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108984960A true CN108984960A (en) | 2018-12-11 |
| CN108984960B CN108984960B (en) | 2023-01-31 |
Family
ID=64553319
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810921745.XA Active CN108984960B (en) | 2018-08-14 | 2018-08-14 | Rapid and accurate positioning and sampling point distribution method for volatile organic pollution |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108984960B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110302672A (en) * | 2019-06-06 | 2019-10-08 | 重庆工商大学融智学院 | A kind of distribution tuning method of Urban eco-space |
| CN110702875A (en) * | 2019-09-12 | 2020-01-17 | 大连海事大学 | Method for detecting illegal drug manufacturing pits based on soil monitoring technology |
| CN111008920A (en) * | 2019-11-07 | 2020-04-14 | 上海勘察设计研究院(集团)有限公司 | Polluted site investigation method based on groundwater level fluctuation effect |
| CN111521754A (en) * | 2020-04-22 | 2020-08-11 | 中国科学院地理科学与资源研究所 | Preliminary investigation and stationing method for soil pollution in coking enterprise site |
| WO2021056160A1 (en) * | 2019-09-23 | 2021-04-01 | 广州禾信仪器股份有限公司 | Source tracing method for contamination of vocs |
| CN114264778A (en) * | 2021-12-24 | 2022-04-01 | 江苏云聚汇科技有限公司 | VOCS monitoring system for on-line monitoring |
| CN114689478A (en) * | 2022-04-08 | 2022-07-01 | 江苏锦测环保科技有限公司 | Air quality detection device and method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102527702A (en) * | 2011-12-31 | 2012-07-04 | 中国科学院武汉岩土力学研究所 | Method for detecting pollutants generated by leakage of leachate in landfill and repairing polluted soil |
| CN103934262A (en) * | 2014-05-14 | 2014-07-23 | 中国环境科学研究院 | Method for reducing volatile organic contaminant residue in soil in mechanical ventilation repair process |
-
2018
- 2018-08-14 CN CN201810921745.XA patent/CN108984960B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102527702A (en) * | 2011-12-31 | 2012-07-04 | 中国科学院武汉岩土力学研究所 | Method for detecting pollutants generated by leakage of leachate in landfill and repairing polluted soil |
| CN103934262A (en) * | 2014-05-14 | 2014-07-23 | 中国环境科学研究院 | Method for reducing volatile organic contaminant residue in soil in mechanical ventilation repair process |
Non-Patent Citations (2)
| Title |
|---|
| 夏琼: "合肥滨湖新区地下水环境特征及硝酸盐去除实验研究", 《中国优秀硕士学位论文权威数据库 工程科技Ⅰ辑》 * |
| 朱苓: "膜界面探测器在工业污染场地调查中的应用", 《环境监测管理与技术》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110302672A (en) * | 2019-06-06 | 2019-10-08 | 重庆工商大学融智学院 | A kind of distribution tuning method of Urban eco-space |
| CN110702875A (en) * | 2019-09-12 | 2020-01-17 | 大连海事大学 | Method for detecting illegal drug manufacturing pits based on soil monitoring technology |
| WO2021056160A1 (en) * | 2019-09-23 | 2021-04-01 | 广州禾信仪器股份有限公司 | Source tracing method for contamination of vocs |
| CN114424058A (en) * | 2019-09-23 | 2022-04-29 | 广州禾信仪器股份有限公司 | Tracing method for VOCs pollution |
| CN114424058B (en) * | 2019-09-23 | 2022-10-25 | 广州禾信仪器股份有限公司 | Tracing method for VOCs pollution |
| CN111008920A (en) * | 2019-11-07 | 2020-04-14 | 上海勘察设计研究院(集团)有限公司 | Polluted site investigation method based on groundwater level fluctuation effect |
| CN111008920B (en) * | 2019-11-07 | 2023-05-16 | 上海勘察设计研究院(集团)有限公司 | Pollution site investigation method based on underground water level fluctuation effect |
| CN111521754A (en) * | 2020-04-22 | 2020-08-11 | 中国科学院地理科学与资源研究所 | Preliminary investigation and stationing method for soil pollution in coking enterprise site |
| CN111521754B (en) * | 2020-04-22 | 2021-04-13 | 中国科学院地理科学与资源研究所 | Preliminary investigation and stationing method for soil pollution in coking enterprise site |
| CN114264778A (en) * | 2021-12-24 | 2022-04-01 | 江苏云聚汇科技有限公司 | VOCS monitoring system for on-line monitoring |
| CN114689478A (en) * | 2022-04-08 | 2022-07-01 | 江苏锦测环保科技有限公司 | Air quality detection device and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108984960B (en) | 2023-01-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108984960A (en) | A kind of volatility organic contamination is quickly accurately positioned and samples points distributing method | |
| Su et al. | A comparison of HYSPLIT backward trajectories generated from two GDAS datasets | |
| Hensen et al. | Low cost and state of the art methods to measure nitrous oxide emissions | |
| Paterson et al. | Analysis of air quality data using positive matrix factorization | |
| Plaisance et al. | Influence of meteorological factors on the NO2 measurements by passive diffusion tube | |
| Nemitz et al. | An eddy-covariance system for the measurement of surface/atmosphere exchange fluxes of submicron aerosol chemical species—First application above an urban area | |
| Paode et al. | Dry deposition fluxes and mass size distributions of Pb, Cu, and Zn measured in southern Lake Michigan during AEOLOS | |
| Menezes et al. | Determination of polycyclic aromatic hydrocarbons from ambient air particulate matter using a cold fiber solid phase microextraction gas chromatography–mass spectrometry method | |
| Rotach et al. | Pollutant dispersion close to an urban surface–the BUBBLE tracer experiment | |
| Wu et al. | Measurement of fugitive volatile organic compound emissions from a petrochemical tank farm using open-path Fourier transform infrared spectrometry | |
| Liu et al. | Uncertainty in positive matrix factorization solutions for PAHs in surface sediments of the Yangtze River Estuary in different seasons | |
| CN101514980A (en) | Method and device for quickly detecting heavy metal contents and spacial distribution in soil | |
| Huebert et al. | Measurements of organic and elemental carbon in Asian outflow during ACE‐Asia from the NSF/NCAR C‐130 | |
| Lei et al. | Characterizing ozone production and response under different meteorological conditions in Mexico City | |
| CN115453069A (en) | Remote sensing tracing method for urban ozone overproof pollution | |
| Taylor et al. | Numerical simulations to assess the tracer dilution method for measurement of landfill methane emissions | |
| CN112434076A (en) | Soil pollutant migration and early warning simulation method and system | |
| Zhang et al. | Characteristics of chemical composition and role of meteorological factors during heavy aerosol pollution episodes in northern Beijing area in autumn and winter of 2015 | |
| Jo et al. | A case study of heavy PM2. 5 secondary formation by N2O5 nocturnal chemistry in Seoul, Korea in January 2018: Model performance and error analysis | |
| Riddick et al. | A cautionary report of calculating methane emissions using low-cost fence-line sensors | |
| Liu et al. | Meteorological mechanisms of regional PM2. 5 and O3 transport in the North China Plain driven by the East Asian monsoon | |
| Robinson et al. | Long-term halocarbon observations from a coastal and an inland site in Sabah, Malaysian Borneo | |
| Guo et al. | Characteristics of atmospheric non-methane hydrocarbons during high PM10 episodes and normal days in Foshan, China | |
| Chen et al. | Using drone soundings to study the impacts and compositions of plumes from a gigantic coal-fired power plant | |
| Kumar et al. | A photochemical modelling approach to investigate O3 sensitivity to NOx and VOCs in the urban atmosphere of Delhi |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |