CN102819661A - New algorithm for atmospheric environment capacity by using region air quality model - Google Patents
New algorithm for atmospheric environment capacity by using region air quality model Download PDFInfo
- Publication number
- CN102819661A CN102819661A CN2012102103234A CN201210210323A CN102819661A CN 102819661 A CN102819661 A CN 102819661A CN 2012102103234 A CN2012102103234 A CN 2012102103234A CN 201210210323 A CN201210210323 A CN 201210210323A CN 102819661 A CN102819661 A CN 102819661A
- Authority
- CN
- China
- Prior art keywords
- district
- air quality
- atmospheric environment
- capacity
- pollutant
- 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
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a new algorithm for an atmospheric environment capacity by using a region air quality model (RAQM). The new algorithm comprises the following computation steps: utilizing a meso-scale meteorological model to perform analog computation on an average value of year-round meteorological elements per hour in an estimation region to obtain uout and uin; utilizing the RAQM to perform analog computation on an average value of pollutant concentration per hour in an estimation year in the estimation region to obtain c; using a process analysis module to output transportation volumes Fout and Fin, dry deposition volume Ddry, wet deposition volume Dwet and chemical conversion volume T of pollutants per hour; performing the computation to obtain V and Asection; using cstandard to obtain a static volume of each atmospheric pollutant in the estimation region; and according to an expression of atmospheric environment capacity Q, performing the calculation to obtain a total environmental volume of atmospheric pollutants in the estimation region. With the adoption of the new algorithm provided by the invention, not only is the maximal capacity of atmospheres to contain the pollutants, regional transportation features of the atmospheric pollutants are reflected, but also key factors of influencing the pollutants in the estimation region are obtained, and assessment judgment basis such as more reasonable theories, more reliable data and more credible result can be provided for atmospheric environmental impact assessment.
Description
Technical field
The present invention relates to the environmental impact assessment technical field, especially relate to a kind of atmospheric environment capacity new algorithm of deployment area air quality model.
Background technology
The atmospheric environment capacity Basic calculation method mainly contains A-P value method, simulation and linear programming technique (model for multiple sources adds the mathematics law of planning).A-P value method is controlled target with the air quality standard, on the basis of atmosphere pollution diffusion dilution rule, uses control zone total emission volumn allowable value and some source emission allowable value control calculating atmospheric environment capacity.Simulation is a kind ofly based on atmospheric dispersion model the Pollutants Diffusion in zone to be carried out Calculation Method.The characteristics of linear programming technique are that pollution source and diffusion process thereof and reference mark are connected, and retrain so that the concentration of target control point is up to standard, confirm the maximum permissible release or the reduction in source through optimization methods such as linear, nonlinear programming or integer programmings.
(1) A-P value method
Domestic Environment influences in the appraisal at present; Calculating for atmospheric environment capacity all is with A-P value method usually; Mainly be that comparatively general use also makes to have stronger comparability in its environmental impact assessment work at home because this method is simple.This method does not have direct relation with the pollution source layout in zone, mainly considers area size, the environmental functional zoning in the zone and the difference of each department A value of evaluation region.
A-P value method relies on the response relation of simple casing model as pollution source and municipal pollution concentration; The concentration target of total is got the mixing mean concentration of casing; The requirement that reaches the environmental quality target with ground concentration has deviation, and its Determination of Parameters also relies on empirical data.Because the overhead point source in the control zone often only produces some effects to the control zone, if the regional atmospheric environmental capacity that calculates A value method as the maximum permission total amount of pollutants discharged of area source, then too strictness.P value apportion design mainly is that the chimney height of each emission source of obtaining according to investigation and the P value of given this area are calculated the permission discharge capacity in each source; It has ignored the geographic distribution of pollution source, because the permission discharge capacity in certain zone is along with the geographic distribution dense degree of pollution source is different and different.
Find relatively that through domestic existing case the error of its generation still is sizable.The method supposes that at first pollutant atmospheric environment capacity and the area of being estimated are proportional, and is general only according to confirming its constant value than the environment weather characteristic in large scale zone.Consideration of regional is not inner with oneself has the singularity of pollution source distribution and landform on every side.In addition, the pollutant in the hypothesis district is equally distributed, and this assumed conditions probably pollutes the comparatively intensive place of source distribution, and pollutant levels exceed standard.
Use the normal so problem that exists of A-P value method: after the overall control district carries out overall control with A value method; The overall control district is when meeting pollutant year permission total emission volumn limit value, and the daily mean of concentration of pollutant and hourly average concentration differ and reaches the country standard for atmosphere environment quality surely.In addition, can find out according to former study that the environmental capacity that A value method is calculated atmosphere pollution exists the variation on time and the space, therefore at a period of time yardstick and certain space yardstick, " homogenization " processing of A value method can cause certain error.Its basic reason is the difference of A value.Usually for same planning zone, atmospheric environment capacity corresponding when the A value is high more also can be high more accordingly.So, so for the correction of A value method, that is to the correction of A value, make its can embody in time with the space on variation, thereby calculate the atmospheric environment capacity on certain hour yardstick and the space scale.
(2) simulation
Simulation is whether environmental quality that the pollutant that utilizes air quality modeling development activities to be discharged causes changes and can cause air quality to exceed standard.Can cut down the discharge capacity of relevant pollution source by equal proportion or by contribution rate if exceed standard, finally to satisfy the requirement of environmental quality standards environmental quality.Satisfy the atmospheric environment capacity that pairing all the pollutant source emission sums of this sufficient and necessary condition just can be considered the zone.
The main embodiment of simulation is to combine local weather data and atmosphere quality present situation; Utilization air quality model is concerned about analyzing of point to it, is concerned about the requirement of the environmental quality standards of point through it; It is carried out " inverting " calculate, thereby draw atmospheric environment capacity.The assumed condition of this method is more; It at first is spatially proportional example relation between the response of hypothesis discharge capacity and pollutant levels; Next is each parameter value in the hypothesis atmospheric dispersion model, and last even more important hypothesis is the position of pollution source position, characteristic and care point.Therefore, simulation is considered to a kind of comparatively extreme method.Be not to be a kind of desirable method under the situation very clearly to the pollution source layout in the evaluation region.
(3) linear programming technique (multi-mode adds the mathematics law of planning)
Linear programming technique is according to linear programming Theoretical Calculation atmospheric environment capacity.This method is a constraint condition with the environmental quality standards in difference in functionality district, greatly turns to objective function with regional pollution thing discharge capacity, and this very big discharge capacity of regional pollution thing that satisfies functional areas correspondence up to standard can be considered the atmospheric environment capacity in zone.
The advantage of the method has been to consider the influence of regional outer pollution source; Atmospheric environment capacity directly " optimized distribution " to each source of atmospheric pollution, the method for this " source resolution " make atmospheric environment capacity directly and the atmosphere pollution overall control combine.For A-P value method, precision is higher, and is more targeted.Method relatively is suitable for the position comparatively evaluation of the stack problem of definite a plurality of pollution source comparatively speaking, if the pollution source position in the evaluation region is uncertain, then can be bigger problem.
The factor that model relied on of linear programming technique is various, and is not easy to operate.Particularly when temporarily not having pollution source or pollution sources information not exhaustive, be difficult to draw the permissible discharge total amount in the zone.In addition; Owing to receive the influence of many factors such as pollution source height of release, meteorological condition, topographic condition, pollution source emission status; Guaranteeing under the ground concentration prerequisite up to standard; The maximum permissible release of certain pollutant is not a constant in the zone, and the permission discharge capacity will be that the function of pollution source height of release increases along with the increase of height of release.
It is thus clear that the irrationality in many shortcomings of atmospheric environment capacity computing method of the prior art and the application can not continue to be applicable to the environmental impact assessment work of various scales, has influence on the final decision of environmental impact assessment work.Therefore need a kind of theoretical frame of exploitation more rationally, reliable more, the applicability of data support atmospheric environment capacity New Calculation Method more widely.
Summary of the invention
The objective of the invention is to design a kind of atmospheric environment capacity new algorithm of deployment area air quality model, address the above problem.
To achieve these goals, the technical scheme of the present invention's employing is following:
A kind of atmospheric environment capacity new algorithm of deployment area air quality model, calculation procedure is following:
Step 1 utilizes the annual meteorological element in Mesoscale Meteorology analog computation evaluation district by little hourly value, obtains u
OutAnd u
In
Step 2 utilizes regional air quality mode analog computation evaluation district to pursue little hourly value in the pollutant levels of estimating year, obtains c; Start the process analysis procedure analysis module of said regional air quality mode simultaneously, output pollutant hour operational throughput F
OutAnd F
In, dry deposition amount D
DryWith wet deposition amount D
Wet, chemical conversion amount T;
Step 3; Utilize evaluation district and the neighboring area weather observation data of estimating year to verify said Mesoscale Meteorology analog result; Utilize monitoring materials to verify said regional air quality mode analog result, make said Mesoscale Meteorology and said regional air quality mode estimate district's atmospheric environment actual state rationally, reliably reflected appraisal year; If analog result can not rationally reflect actual state, should search the simulation error source of said Mesoscale Meteorology and said regional air quality mode, and carry out the analog parameter adjustment repeatedly, rationally reproduce the atmospheric environment actual state until analog result;
Step 4 is used GIS software that the analog computation grid of said Mesoscale Meteorology and said regional air quality mode is distinguished the Administrative boundaries line according to evaluation and is carried out the subregion mark;
Step 5; Set atmospheric environment capacity and calculate required height off the ground; According to the evaluation district Administrative boundaries line of GIS-Geographic Information System software demarcation, calculate to obtain by height off the ground with estimate irregular cylinder volume V that district's Administrative boundaries line forms, distinguish the vertical section area A that the Administrative boundaries line is formed with estimating by height off the ground
Section
Step 6 according to the needs of environmental evaluation target, is selected the corresponding NAAQS concentration c of atmosphere pollution
Standard, multiply each other with irregular cylinder volume V, obtain estimating the static capacity of each atmosphere pollution of district;
Step 7 according to the expression formula of atmospheric environment capacity Q, calculates the environment total volume of estimating certain atmosphere pollution of district;
Wherein, step 1 to step 7 is carried out in order successively, c
StandardBe the NAAQS grade concentration of certain atmosphere pollution, V is high for height off the ground, bottom surface are the cylinder volume of estimating the administrative region, district, F
NetBe to estimate the clean output quantity of certain pollutant of district, D estimates certain pollutant sedimentation total amount of district, and T estimates certain pollutant chemistry inversion quantity of district, F
OutBe to estimate certain pollutant general output of district, F
InBe to estimate certain pollutant general input of district, u
OutBe hour wind speed that the self-evaluation district points to other region directions, u
InBe hour wind speed from other regional orientation evaluation district directions, c is certain pollutant hour concentration of estimating the border, district, A
SectionBe that evaluation district Administrative boundaries line is that base, height off the ground are high vertical section area, D
DryBe to estimate certain pollutant dry deposition amount of district, D
WetBe to estimate certain pollutant wet deposition amount of district.
Preferably, the expression formula of said atmospheric environment capacity Q is expressed as:
Q=Q
static+Q
dynamic(a)
Q
static=c
standard×V (b)
Q
dynamic=F
net+D+T(c)
F
net=F
out-F
in(d)
F
net=F
out-F
in=u
out×c×A
section-u
in×c×A
section(e)
D=D
dry+D
wet(f)
Wherein, Q
StaticFor estimating the static capacity of certain atmosphere pollution of district, Q
DynamicFor estimating the dynamic capacity of certain atmosphere pollution of district.
Preferably, in the step 3, said monitoring materials comprises atmospheric pollution substrate concentration ground monitoring data and Atmospheric components satellite remote sensing monitoring materials; The data of said Mesoscale Meteorology analog result comprise wind speed, wind direction, air pressure, temperature, relative humidity, precipitation, radiation, sensible heat flux, latent heat flux and boundary layer height; The data of said regional air quality mode analog result comprise sulphuric dioxide, sulfate, nitrogen monoxide, nitrogen dioxide, nitric acid, nitrous acid, nitrate, carbon monoxide, pellet, ozone, ammonium salt, black carbon, organic carbon, hydroxyl free radical, organic aerocolloidal concentration and optical thickness.
Preferably, to calculate required height off the ground be 800 meters to 1200 meters to said atmospheric environment capacity.
Preferably, the required height off the ground of said calculation of capacity is 1000 meters.
This patent has been developed a kind of atmospheric environment capacity new algorithm of deployment area air quality model based on the regional air quality mode.This method with atmospheric environment as a space opening, dynamic; Take into full account the complicacy of meteorological condition; Quantize the carrying capacity of atmosphere from generation, conversion, the extinction process of atmosphere pollution, finally calculate the atmospheric environment capacity that the target area has the space-time dynamic characteristic pollutant.
Factors such as the meteorological condition in the physicochemical property of the social function of atmospheric environment capacity and environment, environmental background, pollution source position (layout), pollutant, zone and the self-purification ability of enviroment are closely related; Therefore; Its measuring method should take into full account above-mentioned each key element, embodies the allow ability to bear of environmental element to pollutant.
To the opening in atmospheric environment space and the complicacy of meteorological condition, atmospheric environment capacity refers to admit in a certain environmental area the maximum saturation of certain pollutant, should be made up of static capacity and dynamic capacity two parts.Static capacity refers under the certain environment quality objective, and each link key element can be held the static maximum (maximal workload) of certain pollutant in zone; Dynamic capacity refers to the dynamic self-purification capacity to this kind pollutant in a definite period of each key element in this zone.Dynamic capacity in the atmospheric environment capacity should be considered the pollution level that pollutant is caused in atmosphere, consider factors such as the diffusion of pollutant advection, chemical conversion, dried wet deposition purification again.Therefore, the expression formula of atmospheric environment capacity Q can be expressed as:
Q=Q
static+Q
dynamic(a)
Q
static=c
standard×V (b)
Q
dynamic=F
net+D+T(c)
F
net=F
out-F
in(d)
F
net=F
out-F
in=u
out×c×A
section-u
in×c×A
section(e)
D=D
dry+D
wet(f)
Wherein, Q
StaticBe the static capacity of estimating certain atmosphere pollution of district, Q
DynamicBe the dynamic capacity of estimating certain atmosphere pollution of district, c
StandardBe the NAAQS grade concentration of certain atmosphere pollution, V is high for height off the ground, bottom surface are the cylinder volume of estimating the administrative region, district, F
NetBe to estimate the clean output quantity of certain pollutant of district, D estimates certain pollutant sedimentation total amount of district, and T estimates certain pollutant chemistry inversion quantity of district, F
OutBe to estimate certain pollutant general output of district, F
InBe to estimate certain pollutant general input of district, u
OutBe hour wind speed of other region directions of self-evaluation district sensing, u
InBe hour wind speed from other regional orientation evaluation district directions, c is certain pollutant hour concentration of estimating the border, district, A
SectionBe that evaluation district Administrative boundaries line is that base, height off the ground are high vertical section area, D
DryBe to estimate certain pollutant dry deposition amount of district, D
WetFor estimating certain pollutant wet deposition amount of district.
Therefore wherein, atmosphere pollution mainly accumulates in 1000 meters on ground generally speaking, gets 1000 meters and calculates required height off the ground for atmospheric environment capacity.
According to the above-mentioned theory framework, atmospheric environment capacity calculates process analysis procedure analysis method and the subregion labelling technique that needs based on the regional air quality mode.The process analysis procedure analysis method is to carry out a kind of technology that real-time online is analyzed to the physics such as discharging, advection conveying, diffusion, chemical conversion, dry deposition and the wet deposition of pollutant and the effect size of chemical process, and the value of promptly in the pattern simulation process, exporting processes such as conveying, advection, diffusion, chemistry, sedimentation, discharging in real time is used to analyze physics and the chemical mechanism and the influence factor etc. of the generation of pollution, development, extinction.The subregion labelling technique promptly utilizes GIS software that the pattern grid is carried out the subregion mark according to estimating district's Administrative boundaries line.
The english abbreviation of the GIS software of using among the present invention is ArcGIS.
Beneficial effect of the present invention can be summed up as follows:
1; The present invention is a kind of atmospheric environment capacity new algorithm of deployment area air quality model; The present invention quantizes the process of the generation of pollutant, development, extinction with atmosphere as a whole one by one, not only can obtain the maximum capacity that atmosphere holds pollutant; Embody the zone of atmosphere pollution and carry characteristic, more can obtain influencing the key factor of evaluation region pollutant.
2, the development of the inventive method, can be the atmosphere environment impact evaluation provide theory more rationally, reliable more, the more believable evaluation judgment basis of result of data.Simultaneously, for the control of the regional atmospheric total amount of pollutant, discharge capacity reduction, regional atmospheric environmental protection target making etc. the science support is provided.
Embodiment
Clearer for technical matters, technical scheme and beneficial effect that the present invention is solved, below in conjunction with embodiment, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
A kind of atmospheric environment capacity new algorithm of deployment area air quality model, calculation procedure is following:
Step 1 utilizes the annual meteorological element in Mesoscale Meteorology analog computation evaluation district by little hourly value, obtains u
OutAnd u
In
Step 2 utilizes regional air quality mode analog computation evaluation district to pursue little hourly value in the pollutant levels of estimating year, obtains c; Start the process analysis procedure analysis module of said regional air quality mode simultaneously, output pollutant hour operational throughput F
OutAnd F
In, dry deposition amount D
DryWith wet deposition amount D
Wet, chemical conversion amount T;
Step 3; Utilize evaluation district and the neighboring area weather observation data of estimating year to verify said Mesoscale Meteorology analog result; Utilize monitoring materials to verify said regional air quality mode analog result, make said Mesoscale Meteorology and said regional air quality mode estimate district's atmospheric environment actual state rationally, reliably reflected appraisal year; If analog result can not rationally reflect actual state, should search the simulation error source of said Mesoscale Meteorology and said regional air quality mode, and carry out the analog parameter adjustment repeatedly, rationally reproduce the atmospheric environment actual state until analog result;
Step 4 is used GIS software that the analog computation grid of said Mesoscale Meteorology and said regional air quality mode is distinguished the Administrative boundaries line according to evaluation and is carried out the subregion mark;
Step 5; Set atmospheric environment capacity and calculate required height off the ground; According to the evaluation district Administrative boundaries line of GIS-Geographic Information System software demarcation, calculate to obtain by height off the ground with estimate irregular cylinder volume V that district's Administrative boundaries line forms, distinguish the vertical section area A that the Administrative boundaries line is formed with estimating by height off the ground
Section
Step 6 according to the needs of environmental evaluation target, is selected the corresponding NAAQS concentration c of atmosphere pollution
Standard, multiply each other with irregular cylinder volume V, obtain estimating the static capacity of each atmosphere pollution of district;
Step 7 according to the expression formula of atmospheric environment capacity Q, calculates the environment total volume of estimating certain atmosphere pollution of district;
Wherein, step 1 to step 7 is carried out in order successively, c
StandardBe the NAAQS grade concentration of certain atmosphere pollution, V is high for height off the ground, bottom surface are the cylinder volume of estimating the administrative region, district, F
NetBe to estimate the clean output quantity of certain pollutant of district, D estimates certain pollutant sedimentation total amount of district, and T estimates certain pollutant chemistry inversion quantity of district, F
OutBe to estimate certain pollutant general output of district, F
InBe to estimate certain pollutant general input of district, u
OutBe hour wind speed that the self-evaluation district points to other region directions, u
InBe hour wind speed from other regional orientation evaluation district directions, c is certain pollutant hour concentration of estimating the border, district, A
SectionBe that evaluation district Administrative boundaries line is that base, height off the ground are high vertical section area, D
DryBe to estimate certain pollutant dry deposition amount of district, D
WetBe to estimate certain pollutant wet deposition amount of district; Wherein, the expression formula of said atmospheric environment capacity Q is expressed as:
Q=Q
static+Q
dynamic(a)
Q
static=c
standard×V (b)
Q
dynamic=F
net+D+T(c)
F
net=F
out-F
in(d)
F
net=F
out-F
in=u
out×c×A
section-u
in×c×A
section(e)
D=D
dry+D
wet(f)
Wherein, Q
StaticFor estimating the static capacity of certain atmosphere pollution of district, Q
DynamicFor estimating the dynamic capacity of certain atmosphere pollution of district; In the step 3, said monitoring materials comprises atmospheric pollution substrate concentration ground monitoring data and Atmospheric components satellite remote sensing monitoring materials; The data of said Mesoscale Meteorology analog result comprise wind speed, wind direction, air pressure, temperature, relative humidity, precipitation, radiation, sensible heat flux, latent heat flux and boundary layer height; The data of said regional air quality mode analog result comprise sulphuric dioxide, sulfate, nitrogen monoxide, nitrogen dioxide, nitric acid, nitrous acid, nitrate, carbon monoxide, pellet, ozone, ammonium salt, black carbon, organic carbon, hydroxyl free radical, organic aerocolloidal concentration and optical thickness; Preferably, to calculate required height off the ground be 800 meters to 1200 meters to said atmospheric environment capacity.In the embodiment that is more preferably, the required height off the ground of said calculation of capacity is 1000 meters.
More than through the detailed description of concrete and preferred embodiment the present invention; But those skilled in the art should be understood that; The present invention is not limited to the above embodiment; All within spirit of the present invention and principle, any modification of being done, be equal to replacement etc., all should be included within protection scope of the present invention.
Claims (5)
1. the atmospheric environment capacity new algorithm of a deployment area air quality model is characterized in that calculation procedure is following:
Step 1 utilizes the annual meteorological element in Mesoscale Meteorology analog computation evaluation district by little hourly value, obtains u
OutAnd u
In
Step 2 utilizes regional air quality mode analog computation evaluation district to pursue little hourly value in the pollutant levels of estimating year, obtains c; Start the process analysis procedure analysis module of said regional air quality mode simultaneously, output pollutant hour operational throughput F
OutAnd F
In, dry deposition amount D
DryWith wet deposition amount D
Wet, chemical conversion amount T;
Step 3; Utilize evaluation district and the neighboring area weather observation data of estimating year to verify said Mesoscale Meteorology analog result; Utilize monitoring materials to verify said regional air quality mode analog result, make said Mesoscale Meteorology and said regional air quality mode estimate district's atmospheric environment actual state rationally, reliably reflected appraisal year; If analog result can not rationally reflect actual state, should search the simulation error source of said Mesoscale Meteorology and said regional air quality mode, and carry out the analog parameter adjustment repeatedly, rationally reproduce the atmospheric environment actual state until analog result;
Step 4 is used GIS software that the analog computation grid of said Mesoscale Meteorology and said regional air quality mode is distinguished the Administrative boundaries line according to evaluation and is carried out the subregion mark;
Step 5; Set atmospheric environment capacity and calculate required height off the ground; According to the evaluation district Administrative boundaries line of GIS-Geographic Information System software demarcation, calculate to obtain by height off the ground with estimate irregular cylinder volume V that district's Administrative boundaries line forms, distinguish the vertical section area A that the Administrative boundaries line is formed with estimating by height off the ground
Section
Step 6 according to the needs of environmental evaluation target, is selected the corresponding NAAQS concentration c of atmosphere pollution
Standard, multiply each other with irregular cylinder volume V, obtain estimating the static capacity of each atmosphere pollution of district;
Step 7 according to the expression formula of atmospheric environment capacity Q, calculates the environment total volume of estimating certain atmosphere pollution of district;
Wherein, step 1 to step 7 is carried out in order successively, c
StandardBe the NAAQS grade concentration of certain atmosphere pollution, V is high for height off the ground, bottom surface are the cylinder volume of estimating the administrative region, district, F
NetBe to estimate the clean output quantity of certain pollutant of district, D estimates certain pollutant sedimentation total amount of district, and T estimates certain pollutant chemistry inversion quantity of district, F
OutBe to estimate certain pollutant general output of district, F
InBe to estimate certain pollutant general input of district, u
OutBe hour wind speed that the self-evaluation district points to other region directions, u
InBe hour wind speed from other regional orientation evaluation district directions, c is certain pollutant hour concentration of estimating the border, district, A
SectionBe that evaluation district Administrative boundaries line is that base, height off the ground are high vertical section area, D
DryBe to estimate certain pollutant dry deposition amount of district, D
WetBe to estimate certain pollutant wet deposition amount of district.
2. the atmospheric environment capacity new algorithm of deployment area air quality model according to claim 1 is characterized in that, the expression formula of said atmospheric environment capacity Q is expressed as:
Q=Q
static+Q
dynamic(a)
Q
static=c
standard×V (b)
Q
dynamic=F
net+D+T(c)
F
net=F
out-F
in(d)
F
net=F
out-F
in=u
out×c×A
section-u
in×c×A
section(e)
D=D
dry+D
wet(f)
Wherein, Q
StaticFor estimating the static capacity of certain atmosphere pollution of district, Q
DynamicFor estimating the dynamic capacity of certain atmosphere pollution of district.
3. the atmospheric environment capacity new algorithm of deployment area air quality model according to claim 1 is characterized in that, in the step 3, said monitoring materials comprises atmospheric pollution substrate concentration ground monitoring data and Atmospheric components satellite remote sensing monitoring materials; The data of said Mesoscale Meteorology analog result comprise wind speed, wind direction, air pressure, temperature, relative humidity, precipitation, radiation, sensible heat flux, latent heat flux and boundary layer height; The data of said regional air quality mode analog result comprise sulphuric dioxide, sulfate, nitrogen monoxide, nitrogen dioxide, nitric acid, nitrous acid, nitrate, carbon monoxide, pellet, ozone, ammonium salt, black carbon, organic carbon, hydroxyl free radical, organic aerocolloidal concentration and optical thickness.
4. the atmospheric environment capacity new algorithm of deployment area air quality model according to claim 1 is characterized in that, it is 800 meters to 1200 meters that said atmospheric environment capacity calculates required height off the ground.
5. regional air quality mode method according to claim 4 is characterized in that the required height off the ground of said calculation of capacity is 1000 meters.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210210323.4A CN102819661B (en) | 2012-06-19 | 2012-06-19 | New algorithm for atmospheric environment capacity by using region air quality model |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210210323.4A CN102819661B (en) | 2012-06-19 | 2012-06-19 | New algorithm for atmospheric environment capacity by using region air quality model |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102819661A true CN102819661A (en) | 2012-12-12 |
CN102819661B CN102819661B (en) | 2015-03-11 |
Family
ID=47303771
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201210210323.4A Active CN102819661B (en) | 2012-06-19 | 2012-06-19 | New algorithm for atmospheric environment capacity by using region air quality model |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102819661B (en) |
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014194480A1 (en) * | 2013-06-05 | 2014-12-11 | Microsoft Corporation | Air quality inference using multiple data sources |
CN104298851A (en) * | 2014-07-22 | 2015-01-21 | 兰州大学 | Data processing method for forecasting heavy precipitation weather |
CN105158210A (en) * | 2015-08-31 | 2015-12-16 | 中国科学技术大学 | Method and system for measuring atmospheric aerosol mass vertical conveying flux |
CN105512485A (en) * | 2015-12-14 | 2016-04-20 | 中国科学院大气物理研究所 | Novel method for estimating environment capacity of fine particles and precursors of fine particles |
CN105574335A (en) * | 2015-12-16 | 2016-05-11 | 武汉科技大学 | Parallel stochastic simulation method for predicting concentration of atmospheric particulate matters |
CN105868215A (en) * | 2015-01-22 | 2016-08-17 | 台北科技大学 | Indoor air pollution source analysis system and method thereof |
CN106649960A (en) * | 2016-10-12 | 2017-05-10 | 环境保护部环境规划院 | Three-dimensional iterative computing method for environment capacity of multiple atmospheric pollutants |
CN108121892A (en) * | 2017-11-07 | 2018-06-05 | 南京大学 | Increase the dynamic Mesoscale photochemical pollution simulation and forecast algorithm of methane chemical |
CN108170882A (en) * | 2017-11-24 | 2018-06-15 | 南京大学 | Mesoscale photochemistry simulation piecewise linear regression algorithm based on table for reference |
CN108318622A (en) * | 2018-01-09 | 2018-07-24 | 南京大学 | Increase the atmospheric pollution simulation prediction algorithm of Organic aerosol chemical process |
CN109409666A (en) * | 2018-09-21 | 2019-03-01 | 浙江仁欣环科院有限责任公司 | Environment impact assessment method based on model of atmospheric diffusion and linear programming |
CN110567510A (en) * | 2019-07-23 | 2019-12-13 | 北京英视睿达科技有限公司 | Atmospheric pollution monitoring method, system, computer equipment and storage medium |
CN111444633A (en) * | 2020-04-20 | 2020-07-24 | 中国科学院大气物理研究所 | Quantitative analysis method and system for atmospheric pollution process |
CN111579504A (en) * | 2020-06-29 | 2020-08-25 | 中国科学技术大学 | Atmospheric pollution component vertical distribution inversion method based on optical remote sensing |
CN111680422A (en) * | 2020-06-08 | 2020-09-18 | 中科三清科技有限公司 | Ozone source analysis method and device |
CN112085295A (en) * | 2020-09-21 | 2020-12-15 | 中国科学院大气物理研究所 | Rapid prediction and evaluation method for multi-scenario control effect of atmospheric pollution |
CN112381341A (en) * | 2020-09-21 | 2021-02-19 | 中国科学院大气物理研究所 | Regional air quality control measure effect evaluation method |
CN112836332A (en) * | 2020-11-10 | 2021-05-25 | 中国气象科学研究院 | Atmospheric water material advection input and output calculation method |
CN113378490A (en) * | 2021-05-29 | 2021-09-10 | 非比信息科技嘉兴有限公司 | High-resolution atmospheric environment weak diffusion distribution area research method |
CN114113499A (en) * | 2022-01-27 | 2022-03-01 | 广东海洋大学 | Marine pollution data acquisition method and system |
CN114820258A (en) * | 2022-03-10 | 2022-07-29 | 中国科学院大气物理研究所 | Method for estimating self-cleaning capacity of atmosphere based on standard reaching of fine particulate matters |
CN115526043A (en) * | 2022-09-21 | 2022-12-27 | 重庆市生态环境科学研究院 | Atmospheric environment capacity calculation method considering air resource endowment |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3586671B2 (en) * | 2002-01-16 | 2004-11-10 | 三菱重工業株式会社 | Method and apparatus for estimating concentration of air pollutants |
CN101763095A (en) * | 2009-12-09 | 2010-06-30 | 中国人民解放军防化指挥工程学院 | Forecasting-early warning and emergency control method for moving chemical risk source |
CN101882184A (en) * | 2010-05-25 | 2010-11-10 | 中冶赛迪工程技术股份有限公司 | Atmosphere environmental impact assessment system and environmental impact assessment method based on GIS (Geographic Information System) technology and AERMODE model |
-
2012
- 2012-06-19 CN CN201210210323.4A patent/CN102819661B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3586671B2 (en) * | 2002-01-16 | 2004-11-10 | 三菱重工業株式会社 | Method and apparatus for estimating concentration of air pollutants |
CN101763095A (en) * | 2009-12-09 | 2010-06-30 | 中国人民解放军防化指挥工程学院 | Forecasting-early warning and emergency control method for moving chemical risk source |
CN101882184A (en) * | 2010-05-25 | 2010-11-10 | 中冶赛迪工程技术股份有限公司 | Atmosphere environmental impact assessment system and environmental impact assessment method based on GIS (Geographic Information System) technology and AERMODE model |
Non-Patent Citations (1)
Title |
---|
陈吉宁: "《环渤海沿海地区重点产业发展战略评价研究》", 30 April 2013, article "基于大尺度开放模式的大气环境容量计算方法", pages: 185-189 * |
Cited By (33)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014194480A1 (en) * | 2013-06-05 | 2014-12-11 | Microsoft Corporation | Air quality inference using multiple data sources |
CN104298851A (en) * | 2014-07-22 | 2015-01-21 | 兰州大学 | Data processing method for forecasting heavy precipitation weather |
CN104298851B (en) * | 2014-07-22 | 2017-04-12 | 兰州大学 | Data processing method for forecasting heavy precipitation weather |
CN105868215A (en) * | 2015-01-22 | 2016-08-17 | 台北科技大学 | Indoor air pollution source analysis system and method thereof |
CN105158210B (en) * | 2015-08-31 | 2018-01-30 | 中国科学技术大学 | A kind of measuring method and system of atmospheric aerosol quality vertical transport flux |
CN105158210A (en) * | 2015-08-31 | 2015-12-16 | 中国科学技术大学 | Method and system for measuring atmospheric aerosol mass vertical conveying flux |
CN105512485A (en) * | 2015-12-14 | 2016-04-20 | 中国科学院大气物理研究所 | Novel method for estimating environment capacity of fine particles and precursors of fine particles |
CN105574335A (en) * | 2015-12-16 | 2016-05-11 | 武汉科技大学 | Parallel stochastic simulation method for predicting concentration of atmospheric particulate matters |
CN106649960A (en) * | 2016-10-12 | 2017-05-10 | 环境保护部环境规划院 | Three-dimensional iterative computing method for environment capacity of multiple atmospheric pollutants |
CN106649960B (en) * | 2016-10-12 | 2020-03-20 | 环境保护部环境规划院 | Three-dimensional iterative calculation method for atmospheric multi-pollutant environment capacity |
CN108121892A (en) * | 2017-11-07 | 2018-06-05 | 南京大学 | Increase the dynamic Mesoscale photochemical pollution simulation and forecast algorithm of methane chemical |
CN108170882A (en) * | 2017-11-24 | 2018-06-15 | 南京大学 | Mesoscale photochemistry simulation piecewise linear regression algorithm based on table for reference |
CN108170882B (en) * | 2017-11-24 | 2023-10-17 | 南京大学 | Mesoscale atmospheric photochemical simulation piecewise linear regression algorithm based on lookup table |
CN108318622A (en) * | 2018-01-09 | 2018-07-24 | 南京大学 | Increase the atmospheric pollution simulation prediction algorithm of Organic aerosol chemical process |
CN109409666A (en) * | 2018-09-21 | 2019-03-01 | 浙江仁欣环科院有限责任公司 | Environment impact assessment method based on model of atmospheric diffusion and linear programming |
CN110567510A (en) * | 2019-07-23 | 2019-12-13 | 北京英视睿达科技有限公司 | Atmospheric pollution monitoring method, system, computer equipment and storage medium |
CN111444633A (en) * | 2020-04-20 | 2020-07-24 | 中国科学院大气物理研究所 | Quantitative analysis method and system for atmospheric pollution process |
CN111444633B (en) * | 2020-04-20 | 2021-04-27 | 中国科学院大气物理研究所 | Quantitative analysis method and system for atmospheric pollution process |
CN111680422A (en) * | 2020-06-08 | 2020-09-18 | 中科三清科技有限公司 | Ozone source analysis method and device |
CN111579504A (en) * | 2020-06-29 | 2020-08-25 | 中国科学技术大学 | Atmospheric pollution component vertical distribution inversion method based on optical remote sensing |
CN111579504B (en) * | 2020-06-29 | 2021-10-01 | 中国科学技术大学 | Atmospheric pollution component vertical distribution inversion method based on optical remote sensing |
CN112085295B (en) * | 2020-09-21 | 2021-09-21 | 中国科学院大气物理研究所 | Rapid prediction and evaluation method for multi-scenario control effect of atmospheric pollution |
CN112085295A (en) * | 2020-09-21 | 2020-12-15 | 中国科学院大气物理研究所 | Rapid prediction and evaluation method for multi-scenario control effect of atmospheric pollution |
CN112381341A (en) * | 2020-09-21 | 2021-02-19 | 中国科学院大气物理研究所 | Regional air quality control measure effect evaluation method |
CN112836332B (en) * | 2020-11-10 | 2023-08-15 | 中国气象科学研究院 | Atmospheric horizontal flow input/output calculation method |
CN112836332A (en) * | 2020-11-10 | 2021-05-25 | 中国气象科学研究院 | Atmospheric water material advection input and output calculation method |
CN113378490A (en) * | 2021-05-29 | 2021-09-10 | 非比信息科技嘉兴有限公司 | High-resolution atmospheric environment weak diffusion distribution area research method |
CN114113499B (en) * | 2022-01-27 | 2022-04-15 | 广东海洋大学 | Marine pollution data acquisition method and system |
CN114113499A (en) * | 2022-01-27 | 2022-03-01 | 广东海洋大学 | Marine pollution data acquisition method and system |
CN114820258B (en) * | 2022-03-10 | 2022-11-11 | 中国科学院大气物理研究所 | Method for estimating self-cleaning capacity of atmosphere based on standard reaching of fine particulate matters |
CN114820258A (en) * | 2022-03-10 | 2022-07-29 | 中国科学院大气物理研究所 | Method for estimating self-cleaning capacity of atmosphere based on standard reaching of fine particulate matters |
CN115526043A (en) * | 2022-09-21 | 2022-12-27 | 重庆市生态环境科学研究院 | Atmospheric environment capacity calculation method considering air resource endowment |
CN115526043B (en) * | 2022-09-21 | 2023-03-28 | 重庆市生态环境科学研究院 | Atmospheric environment capacity calculation method considering air resource endowment |
Also Published As
Publication number | Publication date |
---|---|
CN102819661B (en) | 2015-03-11 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102819661A (en) | New algorithm for atmospheric environment capacity by using region air quality model | |
Naz et al. | Effects of climate change on streamflow extremes and implications for reservoir inflow in the United States | |
Elbir | Comparison of model predictions with the data of an urban air quality monitoring network in Izmir, Turkey | |
Van der Velde et al. | Exploring hydroclimatic change disparity via the Budyko framework | |
Schuh et al. | Evaluating atmospheric CO2 inversions at multiple scales over a highly inventoried agricultural landscape | |
Dai et al. | Effect of assessment scale on spatial and temporal variations in CH 4, CO 2, and N 2 O fluxes in a forested wetland | |
Miskell et al. | Reliable data from low cost ozone sensors in a hierarchical network | |
Miles et al. | Quantification of urban atmospheric boundary layer greenhouse gas dry mole fraction enhancements in the dormant season: Results from the Indianapolis Flux Experiment (INFLUX) | |
Zhao et al. | Forecasting of Beijing PM2. 5 with a hybrid ARIMA model based on integrated AIC and improved GS fixed-order methods and seasonal decomposition | |
Nolan et al. | Simulating the future wind energy resource of Ireland using the COSMO‐CLM model | |
Lang et al. | On the impact of re‐centring initial conditions for ensemble forecasts | |
CN105512485A (en) | Novel method for estimating environment capacity of fine particles and precursors of fine particles | |
Manousakas et al. | Aerosol carbonaceous, elemental and ionic composition variability and origin at the Siberian High Arctic, Cape Baranova | |
Kwok et al. | Tracking emission sources of sulfur and elemental carbon in Hong Kong/Pearl River Delta region | |
Jaiswal et al. | Assessment of climate change impact on rainfall for studying water availability in upper Mahanadi catchment, India | |
Hassan et al. | A modeling approach to simulate impact of climate change in lake water quality: phytoplankton growth rate assessment | |
Kulkarni et al. | Surface ozone variability and trend over urban and suburban sites in Portugal | |
Galán-Madruga et al. | A methodological framework for estimating ambient PM2. 5 particulate matter concentrations in the UK | |
Mawada et al. | Climate change impacts on the extreme rainfall for selected sites in North Western England | |
Reid et al. | Air quality modeling for policy development | |
Lin | A spatial econometric approach to measuring pollution externalities: An application to ozone smog | |
Polymeni et al. | everWeather: A Low-Cost and Self-Powered AIoT Weather Forecasting Station for Remote Areas | |
HE et al. | Statistical analysis of present and future river water temperature in cold regions using downscaled GCMs data | |
Sperati et al. | A new Wind Atlas to support the expansion of the Italian wind power fleet | |
Şen et al. | Quadrangle downscaling of global climate models and application to Riyadh |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |