CN106548438A - A kind of method for building up of urban industry source emission inventory - Google Patents
A kind of method for building up of urban industry source emission inventory Download PDFInfo
- Publication number
- CN106548438A CN106548438A CN201610920798.0A CN201610920798A CN106548438A CN 106548438 A CN106548438 A CN 106548438A CN 201610920798 A CN201610920798 A CN 201610920798A CN 106548438 A CN106548438 A CN 106548438A
- Authority
- CN
- China
- Prior art keywords
- source
- building
- industrial
- data
- factor
- 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 29
- 238000011835 investigation Methods 0.000 claims abstract description 13
- 239000000463 material Substances 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 238000004458 analytical method Methods 0.000 claims abstract description 6
- 239000000203 mixture Substances 0.000 claims abstract description 6
- 239000003380 propellant Substances 0.000 claims abstract description 5
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 38
- 229910021529 ammonia Inorganic materials 0.000 claims description 17
- 239000010813 municipal solid waste Substances 0.000 claims description 9
- 239000000618 nitrogen fertilizer Substances 0.000 claims description 9
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 5
- 238000000738 capillary electrophoresis-mass spectrometry Methods 0.000 claims description 5
- 239000003546 flue gas Substances 0.000 claims description 5
- 238000007599 discharging Methods 0.000 claims description 3
- 229910000069 nitrogen hydride Inorganic materials 0.000 claims description 3
- 239000000843 powder Substances 0.000 claims description 3
- 239000003344 environmental pollutant Substances 0.000 description 9
- 231100000719 pollutant Toxicity 0.000 description 9
- 239000007789 gas Substances 0.000 description 5
- 239000000428 dust Substances 0.000 description 4
- 239000003570 air Substances 0.000 description 3
- 239000012080 ambient air Substances 0.000 description 3
- 238000010521 absorption reaction Methods 0.000 description 2
- 239000000809 air pollutant Substances 0.000 description 2
- 231100001243 air pollutant Toxicity 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 235000019504 cigarettes Nutrition 0.000 description 2
- 239000006185 dispersion Substances 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 210000000582 semen Anatomy 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 235000005637 Brassica campestris Nutrition 0.000 description 1
- 241001301148 Brassica rapa subsp. oleifera Species 0.000 description 1
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000010411 cooking Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000002440 industrial waste Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000004033 plastic Substances 0.000 description 1
- 229920003023 plastic Polymers 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000010902 straw Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/84—Greenhouse gas [GHG] management systems
- Y02P90/845—Inventory and reporting systems for greenhouse gases [GHG]
Landscapes
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of method for building up of urban industry source emission inventory, described method for building up comprises the following steps the historical data of (1) according to urban industry source to be measured, determines respondent and the scope of industrial source, determine the industrial pollution factor；(2) discharge model is set up, the essential information data and external environment condition parameter of mobile source are obtained, discharge model is brought into and is determined emission factor, then according to propellant composition analysis, energy material balance, empirical estimating checking emission factor；(3) collect all kinds of investigation of pollution sources Monitoring Data, with reference to GIS map, complete polluter positioning and data inputting, it is determined that the original state of discharge model；(4) the industrial source emission inventories with relevant inquiring statistical function are built up according to the data of step (3).The industrial source emission inventories that the present invention sets up can more accurately reflect urban industry pollutional condition, and its compilation process is perfect, and practicality is high.
Description
Technical field
The invention belongs to environmental monitoring, and in particular to a kind of method for building up of urban industry source emission inventory.
Background technology
In recent years, along with economic development, especially gray haze pollution problem in city becomes increasingly conspicuous for industrial pollution, becomes society
Focus of attention.In the factors such as industrial waste gas, city raised dust, motor-vehicle tail-gas, crop straw burning and the secondary dirt for thus bringing
Under the combined influence of dye, including the Yangtze River Delta Area including the area along the Yangtze River in Jiangsu Province, it has also become national 4 gray hazes are seriously pollutedly
One of area, industrial pollution have been presented regional, compound, compression-type feature.
Emission of industrial pollutants inventory is on the basis of region and the analysis of urban energy structure present situation is carried out, to discharging work
Industry pollutant, the Industrial Boiler of influence area ambient air quality, life cooking stove, motor-vehicle tail-gas and road and building airborne dust
Etc. all types of industries polluter, sufficiently investigated, monitored, being analyzed and simulation, statistics is obtained discharge capacity and the distribution of pollutant
Rule, and and then set up based on GIS-Geographic Information System (GIS) industrial pollution source database, realize polluter and emissions data net
Format, embody the information platform of pollutant emission space-time characteristic.
Home and abroad environment managerial experiences show that emission source investigation and emission inventories are set up to be not only and simulated using data pattern
Forecast pollution important prerequisite, while and research Area Ambient Air Quality and discharge of pollutant sources control important foundation it
One.Emission inventories, environmental air quality monitoring and the evaluation of ambient air quality forecast model have become the world today carries out environment
Three indispensable Main Means of quality management.Industrial source emission inventories be the survey region industrial pollution origin cause of formation, mechanism and
The important foundation data of feature；Be to formulate regional pollution control measure and countermeasure, regional air quality management is made from qualitative trend
Quantitatively, improve the important tool of managerial science and effectiveness；And region and City Air Quality Forecasting, early warning, environment sky
The important foundation data of makings numerical quantity simulation study.Therefore, set up that one relatively complete and the industrial source emission inventories of system
Seem particularly urgent.
The content of the invention
The technical problem to be solved in the present invention is to provide one completely and the method for building up of the industrial source emission inventories of system.
To solve the above problems, technical scheme proposed by the present invention is：A kind of foundation side of urban industry source emission inventory
Method, comprises the following steps：
(1) historical data according to urban industry source to be measured, determines respondent and the scope of industrial source, then will be to be measured
Urban industry polluter is divided into point source, three class of mobile source dough-making powder source, and determines the industrial pollution factor；
(2) discharge model is set up, is adjusted using the online instrument of polluter flue gas (CEMS) and statistical yearbook, documents and materials and scene
Look into the method for combining and carry out industrial source investigation, obtain the essential information data and external environment condition parameter of mobile source, bring discharge into
Model determines emission factor, then according to propellant composition analysis, energy material balance, empirical estimating checking emission factor；
(3) collect all kinds of investigation of pollution sources Monitoring Data, with reference to GIS map, complete polluter positioning and data inputting, so
The discharge of the discharge capacity of each pollution factor of polluter for being determined according to data afterwards and distribution, the enterprise of various properties to pollution factor
Rate determines the original state for discharging model over time for share rate, each pollution factor content；
(4) the industrial source emission inventories with relevant inquiring statistical function are built up according to the data of step (3).
Further, the described industrial pollution factor includes：PM10、PM2.5、SO2、NOx、CO、O3、Pb、VOC、NH3、CO2、
CH4、N2O。
Further, also include the row of nitrogenous fertilizer use, the ammonia of discharged body and garbage loading embeading VOC in described survey scope
Put investigation.
Further, the amount of the ammonia of described discharged body passes through formula Ei=A × EFiIt is determined that, wherein Ei represents human body ammonia
Discharge capacity, EFi represents the emission factor of human body ammonia, and A represents All population capacities.
Further, described discharge model is element circular process model.
Further, infrared inductor, generating laser, biography are provided with the described online instrument of polluter flue gas (CEMS)
Sensor, using pollutant levels in non-dispersion infrared absorption process measurement flue gas, measures dust concentration using laser transmission method, utilizes
The change of sensor real-time monitoring pollutant.
Further, latitude and longitude coordinates of the positioning in described polluter anchor midpoint source using enterprise's geometric center, stream
Latitude and longitude coordinates of the positioning in dynamic source using the centrage of mobile source glide path, face source adopts population distribution density and longitude and latitude
Coordinate combines and is positioned, wherein being 0.01 ° to the degree of accuracy that positioned using longitude and latitude.
Further, the distribution of described pollution factor include spatial distribution, Annual distribution, height distribution, industry distribution,
Administrative region is distributed.
Beneficial effects of the present invention are embodied in：The survey scope of the present invention is wide, there is provided element circular process model, can be more
Plus the dynamic change during real reflection element circular, and by propellant composition analysis, energy material balance, empirical estimating
Checking emission factor, it is ensured that modeling is more accurate；It is accurately positioned using longitude and latitude in the determination of survey scope, is protected
The accurate error of card survey scope is little；The industrial source emission inventories that the present invention sets up can effectively count the discharge of industrial source, environment
Spatio-temporal distribution rule of the administration section according to discharge, can take specific control to arrange in particular space and time range
Apply, targetedly take measures, reduce the pollution to environment.
Description of the drawings
Fig. 1 is the flow chart that the emission inventories of the present invention are set up.
Specific embodiment
Below in conjunction with Changzhou energy resource consumption statistical tables (table 1) in 2011 and Air Pollutants Emissions statistical table (table 2)
Further illustrate present disclosure；
1 2011 years Changzhou energy resource consumption statistical tables of table
2 2011 years Changzhou Air Pollutants Emissions statistical tables of table
The method for building up flow chart of emission inventories as illustrated in FIG. 1, the method for building up bag of described industrial source emission inventories
Include following steps：
(1) historical data according to urban industry source to be measured, determines respondent and the scope of industrial source, then will be to be measured
Urban industry polluter is divided into point source, three class of mobile source dough-making powder source, and determines the industrial pollution factor, the described industrial pollution factor
Including：PM、PM10、PM2.5、SO2、NOx、CO、NH3, VOC, also include in described survey scope nitrogenous fertilizer use, discharged body
The discharge investigation of ammonia and garbage loading embeading VOC；Wherein, the discharge capacity of the ammonia for producing during Changzhou nitrogenous fertilizer use in 2011 is by public affairs
Formula：Ei=A × EFi determines, in formula：The discharge capacity of ammonia when Ei represents that nitrogenous fertilizer is used, EFi represent that nitrogenous fertilizer uses the discharge system of ammonia
Number, A represent nitrogenous fertilizer usage amount.And 115.19 ten thousand tons of Changzhou total output of grain in 2011, wherein 31.15 ten thousand tons of Semen Tritici aestivi, Oryza sativa L.
80.71 ten thousand tons, 1.34 ten thousand tons of Semen Maydiss, 2.9 ten thousand tons of Brassica campestris L, 2011 annual nitrogenous fertilizer usage amounts are 47917 tons, therefore Changzhou in 2011
When nitrogenous fertilizer is used, the discharge capacity of ammonia is 8055 tons；The amount of the ammonia of discharged body is by formula Ei=A × EFi determinations, wherein Ei tables
Let others have a look at the discharge capacity of body ammonia, EFi represents the emission factor of human body ammonia, A represents All population capacities, and Changzhou permanent resident population in 2011
464.97 ten thousand people, 362.86 ten thousand people of household registration population, 128.10 ten thousand families of household register sum, 133.09 ten thousand people of people stayed temporarily, therefore 2011 years
The total amount of Changzhou discharged body's ammonia is 181 tons；The discharge capacity of garbage loading embeading VOC passes through formula：E=A × EF determines, in formula：E
The discharge capacity of garbage loading embeading VOC is represented, EF represents the emission factor of garbage loading embeading VOC, A represents garbage loading embeading amount, and 2011
Changzhou produces 66.41 ten thousand tons of house refuse, possesses refuse landfill 3, and landfill area is 3585473 cubic metres, amount of landfill
For 36.807 ten thousand tons, house refuse is produced essentially from the unit life process such as resident, business, street cleaning, school, enterprise
Rubbish, contained composition is mainly paper, peel, plastics, kitchen remnants etc..Therefore the row of Changzhou garbage loading embeading VOC in 2011
It is high-volume 84.7 tons.
(2) discharge model is set up, described discharge model is element circular process model, using the online instrument of polluter flue gas
And the method that combines of statistical yearbook, documents and materials and field investigation carries out industrial source investigation, described polluter cigarette (CEMS)
Infrared inductor, generating laser, sensor are provided with the online instrument of gas (CEMS), cigarette are measured using non-dispersion infrared absorption process
Pollutant levels in gas, measure dust concentration using laser transmission method, using the change of sensor real-time monitoring pollutant, obtain
The essential information data (such as 1 table 2 of table) of mobile source and external environment condition parameter, bring discharge model into and determine emission factor, Ran Hougen
According to propellant composition analysis, energy material balance, empirical estimating checking emission factor；
(3) collect all kinds of investigation of pollution sources Monitoring Data, with reference to GIS map, complete polluter positioning and data inputting, institute
Latitude and longitude coordinates of the positioning in the polluter anchor midpoint source stated using enterprise's geometric center, the positioning of mobile source adopt mobile source
The latitude and longitude coordinates of the centrage of glide path, face source are combined using population distribution density and latitude and longitude coordinates and are positioned,
It is 0.01 ° to the degree of accuracy that positioned wherein using longitude and latitude, each pollution factor of polluter for then being determined according to data
Discharge capacity and distribution, the enterprise of various properties to the discharge share rate of pollution factor, each pollution factor content over time
Rate determines the original state of discharge model, the distribution of described pollution factor include spatial distribution, Annual distribution, height distribution,
Industry distribution, administrative region distribution；
(4) the industrial source emission inventories with relevant inquiring statistical function are built up according to the data of step (3).
Finally it should be noted that：Above example only to illustrate technical scheme, rather than a limitation；Although
With reference to the foregoing embodiments the present invention has been described in detail, it will be understood by those within the art that：Which still may be used
To modify to the technical scheme described in previous embodiment, or equivalent is carried out to which part technical characteristic；And
These modifications are replaced, and do not make the essence of appropriate technical solution depart from the spirit and model of embodiment of the present invention technical scheme
Enclose.
Claims (7)
1. a kind of method for building up of urban industry source emission inventory, it is characterised in that comprise the following steps：
(1) historical data according to urban industry source to be measured, determines respondent and the scope of industrial source, then by city to be measured
Industrial pollution source is divided into point source, three class of mobile source dough-making powder source, and determines the industrial pollution factor；
(2) discharge model is set up, using the online instrument of polluter flue gas (CEMS) and statistical yearbook, documents and materials and field investigation phase
With reference to method carry out industrial source investigation, obtain mobile source essential information data and external environment condition parameter, bring discharge model into
Determine emission factor, then according to propellant composition analysis, energy material balance, empirical estimating checking emission factor；
(3) collect all kinds of investigation of pollution sources Monitoring Data, with reference to GIS map, complete polluter positioning and data inputting, Ran Hougen
The discharge of the discharge capacity of each pollution factor of polluter determined according to data and distribution, the enterprise of various properties to pollution factor is shared
Rate determines the original state for discharging model over time for rate, each pollution factor content；
(4) the industrial source emission inventories with relevant inquiring statistical function are built up according to the data of step (3).
2. a kind of method for building up of urban industry source emission inventory as claimed in claim 1, it is characterised in that described industry
Pollution factor includes：PM10、PM2.5、SO2、NOx、CO、O3、Pb、VOC、NH3、CO2、CH4、N2O。
3. a kind of method for building up of urban industry source emission inventory as claimed in claim 1, it is characterised in that described investigation
Also include in scope that nitrogenous fertilizer is used, the discharge of the ammonia of discharged body and garbage loading embeading VOC is investigated.
4. a kind of method for building up of urban industry source emission inventory as claimed in claim 3, it is characterised in that described human body
The amount of the ammonia of discharge determines that by formula Ei=A × EFi wherein Ei represents the discharge capacity of human body ammonia, and EFi represents the row of human body ammonia
Coefficient is put, A represents All population capacities.
5. a kind of method for building up of urban industry source emission inventory as claimed in claim 3, it is characterised in that described discharge
Model is element circular process model.
6. a kind of method for building up of urban industry source emission inventory as claimed in claim 1, it is characterised in that described is described
Polluter anchor midpoint source positioning using enterprise's geometric center latitude and longitude coordinates, the positioning of mobile source is using flowing source stream
The latitude and longitude coordinates of the centrage of dynamic route, face source are combined using population distribution density and latitude and longitude coordinates and are positioned, its
Middle utilization longitude and latitude is spent for 0.01 ° to the degree of accuracy for being positioned.
7. a kind of method for building up of urban industry source emission inventory as claimed in claim 1, it is characterised in that described pollution
The distribution of the factor includes spatial distribution, Annual distribution, height distribution, industry distribution, administrative region distribution.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610920798.0A CN106548438A (en) | 2016-10-21 | 2016-10-21 | A kind of method for building up of urban industry source emission inventory |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610920798.0A CN106548438A (en) | 2016-10-21 | 2016-10-21 | A kind of method for building up of urban industry source emission inventory |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106548438A true CN106548438A (en) | 2017-03-29 |
Family
ID=58393203
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610920798.0A Pending CN106548438A (en) | 2016-10-21 | 2016-10-21 | A kind of method for building up of urban industry source emission inventory |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106548438A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108802856A (en) * | 2018-03-30 | 2018-11-13 | 南京大学 | A kind of source data dynamic corrections forecast system and its working method based on AI |
| CN109060617A (en) * | 2018-07-06 | 2018-12-21 | 南京信息工程大学 | The simulation and analysis method that different agricultural emission intensity scenes influence PM2.5 concentration |
| CN109583743A (en) * | 2018-11-26 | 2019-04-05 | 南京创蓝科技有限公司 | Atmosphere pollution source tracing method based on Lagrangian model and mobile observation platform |
| CN109928355A (en) * | 2019-03-05 | 2019-06-25 | 上海市环境科学研究院 | Method for building up, system, medium and the terminal of oil product harbour VOCs localization emission factor |
| CN110288195A (en) * | 2019-05-27 | 2019-09-27 | 姜涵 | A kind of accounting method for the nitrous oxide emission that castoff burning processing generates |
| CN110889079A (en) * | 2019-09-29 | 2020-03-17 | 北京众蓝科技有限公司 | Air quality forecasting system based on dynamic inversion emission source data |
| CN111177210A (en) * | 2019-12-04 | 2020-05-19 | 南京大学（溧水）生态环境研究院 | High-resolution industrial pollution source emission measuring and calculating method |
| CN111967792A (en) * | 2020-08-28 | 2020-11-20 | 中国科学院大气物理研究所 | Rapid quantitative evaluation method and system for atmosphere pollution prevention and control scheme |
-
2016
- 2016-10-21 CN CN201610920798.0A patent/CN106548438A/en active Pending
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108802856A (en) * | 2018-03-30 | 2018-11-13 | 南京大学 | A kind of source data dynamic corrections forecast system and its working method based on AI |
| CN108802856B (en) * | 2018-03-30 | 2020-06-30 | 南京大学 | AI-based source data dynamic correction and forecast system and working method thereof |
| CN109060617A (en) * | 2018-07-06 | 2018-12-21 | 南京信息工程大学 | The simulation and analysis method that different agricultural emission intensity scenes influence PM2.5 concentration |
| CN109060617B (en) * | 2018-07-06 | 2021-06-01 | 南京信息工程大学 | Simulation and analysis method for influences of different agricultural ammonia emission situations on PM2.5 concentration |
| CN109583743A (en) * | 2018-11-26 | 2019-04-05 | 南京创蓝科技有限公司 | Atmosphere pollution source tracing method based on Lagrangian model and mobile observation platform |
| CN109928355A (en) * | 2019-03-05 | 2019-06-25 | 上海市环境科学研究院 | Method for building up, system, medium and the terminal of oil product harbour VOCs localization emission factor |
| CN110288195A (en) * | 2019-05-27 | 2019-09-27 | 姜涵 | A kind of accounting method for the nitrous oxide emission that castoff burning processing generates |
| CN110889079A (en) * | 2019-09-29 | 2020-03-17 | 北京众蓝科技有限公司 | Air quality forecasting system based on dynamic inversion emission source data |
| CN110889079B (en) * | 2019-09-29 | 2024-04-12 | 北京众蓝科技有限公司 | Air quality forecasting system based on dynamic inversion emission source data |
| CN111177210A (en) * | 2019-12-04 | 2020-05-19 | 南京大学（溧水）生态环境研究院 | High-resolution industrial pollution source emission measuring and calculating method |
| CN111967792A (en) * | 2020-08-28 | 2020-11-20 | 中国科学院大气物理研究所 | Rapid quantitative evaluation method and system for atmosphere pollution prevention and control scheme |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106548438A (en) | A kind of method for building up of urban industry source emission inventory | |
| Wang et al. | Evaluating impacts of air pollution in China on public health: implications for future air pollution and energy policies | |
| CN106339974A (en) | Method for establishing urban air pollutant emission list | |
| Assefa et al. | Solid waste generation rate and characterization study for Laga tafo Laga Dadi town, oromia, Ethiopia | |
| Mir et al. | Analysis of baseline and alternative air quality scenarios for Pakistan: an integrated approach | |
| Wu et al. | Application of an integrated Weather Research and Forecasting (WRF)/CALPUFF modeling tool for source apportionment of atmospheric pollutants for air quality management: A case study in the urban area of Benxi, China | |
| Hu et al. | Anthropogenic CO 2 emissions from a megacity in the Yangtze River Delta of China | |
| Reap et al. | Improving life cycle assessment by including spatial, dynamic and place-based modeling | |
| Tseng et al. | Assessing relocation strategies of urban air quality monitoring stations by GA-based compromise programming | |
| Engel-Cox et al. | Compilation and assessment of recent positive matrix factorization and UNMIX receptor model studies on fine particulate matter source apportionment for the eastern United States | |
| Nwofe | Waste management and environmental sustainability: A case study of selected cities in Ebonyi State | |
| Lin | A spatial econometric approach to measuring pollution externalities: An application to ozone smog | |
| Ragazzi | Air quality: monitoring, measuring, and modeling environmental hazards | |
| Odman et al. | Determining the sources of regional haze in the southeastern United States using the CMAQ model | |
| Zhou et al. | Environmental carrying capacity of green resource city ecological landscape supported by GIS | |
| Huang et al. | Optimizing the PM2. 5 tradeoffs: the case of Taiwan | |
| Yamanouchi et al. | Validation and analysis of the Polair3D v1. 11 chemical transport model over Quebec | |
| Sarigiannis et al. | Meso-scale life-cycle impact assessment of novel technology policies: The case of renewable energy | |
| Zhao | Evaluation of municipal waste incinerators (MWI) site selection based on full cost accounting using GIS tools: a case study in Beijing, China | |
| Caserini et al. | A detailed Emission Inventory for air quality planning at local scale: the Lombardy (Italy) experience | |
| Inyang et al. | A quantitative methodology for indexing environmental sensitivity and pollution potential | |
| Roy et al. | Information system analysis for monitoring of air quality in peri-urban Howrah | |
| Hao et al. | Estimating health damage cost from secondary sulfate particles–a case study of Hunan Province, China | |
| Hussaini et al. | Rate of air pollution assessment from manufacturing/transformation industries in Maiduguri Metropolis | |
| Lissens et al. | SMOGSTOP: a model for forecasting maximum daily ozone concentration in Belgium |
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 |
Application publication date: 20170329 |
|
| RJ01 | Rejection of invention patent application after publication |