AU2021106225A4 - A system and method for air pollutants with chemical response and gravitational settling velocity - Google Patents
A system and method for air pollutants with chemical response and gravitational settling velocity Download PDFInfo
- Publication number
- AU2021106225A4 AU2021106225A4 AU2021106225A AU2021106225A AU2021106225A4 AU 2021106225 A4 AU2021106225 A4 AU 2021106225A4 AU 2021106225 A AU2021106225 A AU 2021106225A AU 2021106225 A AU2021106225 A AU 2021106225A AU 2021106225 A4 AU2021106225 A4 AU 2021106225A4
- Authority
- AU
- Australia
- Prior art keywords
- pollutants
- gravitational settling
- chemical response
- stable
- air pollutants
- 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.)
- Ceased
Links
- 230000004044 response Effects 0.000 title claims abstract description 23
- 239000000126 substance Substances 0.000 title claims abstract description 23
- 239000000809 air pollutant Substances 0.000 title claims abstract description 20
- 231100001243 air pollutant Toxicity 0.000 title claims abstract description 20
- 238000000034 method Methods 0.000 title claims description 24
- 230000007935 neutral effect Effects 0.000 claims abstract description 27
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 23
- 231100000719 pollutant Toxicity 0.000 claims abstract description 23
- 230000007246 mechanism Effects 0.000 claims abstract description 11
- 230000000694 effects Effects 0.000 claims description 5
- 239000003053 toxin Substances 0.000 description 11
- 231100000765 toxin Toxicity 0.000 description 11
- 108700012359 toxins Proteins 0.000 description 11
- 230000008901 benefit Effects 0.000 description 9
- 238000000926 separation method Methods 0.000 description 8
- 238000011109 contamination Methods 0.000 description 7
- 231100000614 poison Toxicity 0.000 description 6
- 239000002574 poison Substances 0.000 description 6
- 230000008859 change Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000010521 absorption reaction Methods 0.000 description 2
- 230000000052 comparative effect Effects 0.000 description 2
- 239000000356 contaminant Substances 0.000 description 2
- 239000006185 dispersion Substances 0.000 description 2
- 239000004215 Carbon black (E152) Substances 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000000469 dry deposition Methods 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 229930195733 hydrocarbon Natural products 0.000 description 1
- 150000002430 hydrocarbons Chemical class 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000036962 time dependent Effects 0.000 description 1
- 239000002699 waste material 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
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physical Or Chemical Processes And Apparatus (AREA)
Abstract
The present invention generally relates to a system for air pollutants
with chemical response and gravitational settling velocity comprises a
two-dimensional model of air pollutants is produced from an urban city
region of primary and secondary pollutants through chemical response
and gravitational settling speed; Wherein the overseeing partial
differential equations is obtained by utilizing Crank-Nicolson implicit finite
difference tool using a two-dimensional system; and wherein the grouping
of pollutants is examined and studied for different removal mechanisms in
both stable and neutral atmospheric circumstances.
17
C 0
O'7
-C
0
LOL
ot
Description
C 0 O'7
0
ot
FIELDOFTHEINVENTION The present disclosure relates to a system and method for air pollutants with chemical response and gravitational settling velocity.
BACKGROUND OF THE INVENTION Rapid industrial expansion and suburbanization have recently posed a serious threat to human longevity and health. Nonstop emission of air contaminants such as CO,NO,SO2 from hydrocarbon power plants in the neighbourhood, vehicle debilitates due to traffic, and a few other major or minor causes filthy a sector or perhaps an entire region of a city scenario. Contamination from a territory source affects not only the people and the environment in this zone, but also those in the non-contaminated zone of a neighbouring region, as toxins are dispersed and advected downwind.
A two-dimensional analytical model with a quadratic conversation co-efficient and a straight speed profile is presented for turbulent scattering of poisons in a steady air layer. Whatever the case may be, it explodes light on any expulsion system. A computational model for scattering from a territorial source with chemical response and dry deposition is presented, which is a consistent state in nature. Only primary inert air pollutants are managed by these zone source models. In this fashion, a time-dependent numerical model for both essential and optional toxins was created, allowing for the detection of time-subordinate forms of poison fixation in the urban environment. This model was solved using a partial advance technique that took into account a present practical form of vertical eddy diffusivity and velocity profiles. A period subordinate territory source scientific model of synthetically responsive air toxins and their side effects in a secure zone over the source layer with rainout/time waste and settling. Nonetheless, the flat homogeneity of poisons and constant eddy diffusivity are currently recognised. When particles and gases are ejected from the environment by both wet statement and dry affidavit, corrosive precipitation might occur. The relationship between a source and the affidavit design that it produces must be understood in order to legitimise controls on corrosive forerunners. A two-dimensional period subordinate air toxin model with quick (dry testimony) and postponed (synthetic change, rainout/wash out and settling) evacuations for both necessary contamination (time subordinate emanation) and the optional poison. Despite this, the consistent speed and swirl diffusivity profiles are managed by this model, which is explanatory. For air contaminations with compound response and dry statement, a shift in weather conditions dispersion numerical model is introduced.
In the view of the forgoing discussion, it is clearly portrayed that there is a need to have a system and method for air pollutants with chemical response and gravitational settling velocity.
SUMMARY OF THE INVENTION The present disclosure seeks to provide a system and method for both essential (consistent emanation) & auxiliary toxins through progressively reasonable variable wind speed and eddy- diffusivity profiles.
In an embodiment, a system for air pollutants with chemical response and gravitational settling velocityis disclosed. The system includes a two-dimensional model of air pollutants is produced from an urban city region of primary and secondary pollutants through chemical response and gravitational settling speed. The system further includes a Crank-Nicolson implicit finite difference tool for obtaining the overseeing partial differential equations. The system further includes a processing unit for examining the grouping of pollutants thereby studying for different removal mechanisms in both stable and neutral atmospheric circumstances.
In an embodiment, ramification of removal mechanisms such as chemical response and washout is studied for primary pollutant.
In an embodiment, the effect of gravitational settling velocity is considered for secondary pollutant.
An object of the present disclosure is to discretize the shift in weather conditions term of the administering condition.
Another object of the present disclosure is to eliminate air pollutants.
Yet another object of the present invention is to deliver an expeditious and cost-effective method for air pollutants with chemical response and gravitational settling velocity.
To further clarify advantages and features of the present disclosure, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
BRIEFDESCRIPTIONOFFIGURES These and other features, aspects, and advantages of the present disclosure will become better understood when the following detailed description is read with reference to the accompanying drawings in which like characters represent like parts throughout the drawings, wherein:
Figure lillustrates a block diagram of a system for air pollutants with chemical response and gravitational settling velocity in accordance with an embodiment of the present disclosure; Figure2illustrates a flow chart of a method for air pollutants with chemical response and gravitational settling velocity in accordance with an embodiment of the present disclosure; Figure 3 illustrates a physical format of the modelin accordance with an embodiment of the present disclosure; Figure 4 illustrates variety of ground level fixation regarding separation of primary &secondary toxins for stable circumstance in accordance with an embodiment of the present disclosure' Figure 5 illustrates variety of ground level fixation regarding distance of primary &secondary toxins for neutral circumstance in accordance with an embodiment of the present disclosure; Figure 6 illustrates variety of ground level fixation as for tallness of primary and secondary contaminations for stable case in accordance with an embodiment of the present disclosure; Figure 7 illustrates variety of ground level fixation as for height of primary and secondary contaminations for neutral case in accordance with an embodiment of the present disclosure; Figure 8 illustrates variety of ground level fixation as for distance of secondarycontaminations for steady and neutral cases in accordance with an embodiment of the present disclosure; and Figure 9 illustrates variety of ground level fixation concerning height of secondary contaminations for stable and neutral case in accordance with an embodiment of the present disclosure.
Further, skilled artisans will appreciate that elements in the drawings are illustrated for simplicity and may not have necessarily been drawn to scale. For example, the flow charts illustrate the method in terms of the most prominent steps involved to help to improve understanding of aspects of the present disclosure. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the drawings with details that will be readily apparent to those of ordinary skill in the art having benefit of the description herein.
DETAILED DESCRIPTION For the purpose of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates.
It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be restrictive thereof.
Reference throughout this specification to "an aspect", "another aspect" or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.
The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such process or method. Similarly, one or more devices or sub-systems or elements or structures or components proceeded by "comprises...a" does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or other components or additional devices or additional sub-systems or additional elements or additional structures or additional components.
Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The system, methods, and examples provided herein are illustrative only and not intended to be limiting.
Embodiments of the present disclosure will be described below in detail with reference to the accompanying drawings.
Referring to Figure 1, a block diagram of a system for air pollutants with chemical response and gravitational settling velocity is illustrated in accordance with an embodiment of the present disclosure. The system 100 includes a two-dimensional model 102 of air pollutants is produced from an urban city region of primary and secondary pollutants through chemical response and gravitational settling speed.
In an embodiment, a Crank-Nicolson implicit finite difference tool 104 is configured for obtaining the overseeing partial differential equations.
In an embodiment, a processing unit 106 is connected with the Crank-Nicolson implicit finite difference tool 104 for examining the grouping of pollutants thereby studying for different removal mechanisms in both stable and neutral atmospheric circumstances.
Figure 2 illustrates a flow chart of a method for air pollutants with chemical response and gravitational settling velocity in accordance with an embodiment of the present disclosure. At step 202, the method 200 includes obtaining the overseeing partial differential equations by utilizing Crank-Nicolson implicit finite difference tool using a two-dimensional model 102.
At step 204, the method 200 includes examining the grouping of pollutants thereby studying for different removal mechanisms in both stable and neutral atmospheric circumstances.
In an embodiment, ramification of removal mechanisms such as chemical response and washout is studied for primary pollutant.
In an embodiment, the effect of gravitational settling velocity is considered for secondary pollutant.
Figure 3illustratesa physical format of the model in accordance with an embodiment of the present disclosure.A scientific model of area source for both essential (consistent emanation) & auxiliary toxins through progressively reasonable variable wind speed and eddy diffusivity profiles. Right now, most satisfactory general supposition that is made, the auxiliary poisons (secondary Pollutants) are shaped by methods first order chemical conversion of primary pollutant. Both essential &auxiliary toxins are expelled from environment by Gravitational Settling Velocity. Upwind contrast plot is utilized to discretize the shift in weather conditions term of the administering condition and is explained by utilizing Crank-Nicolson certain limited contrast procedure. Concentration contours are plotted and consequences are breaking down for the essential just as optional toxins in steady and neutral atmospheric circumstances for different meteorological constraints, territory classes and expulsion & change forms.
A model for air pollutants with profiles of realistic meteorological parameters is presented in this disclosure. The ramification of removal mechanisms such as chemical response and washout is studied for primary pollutant. Also, for secondary pollutant the effect of gravitational Settling velocity is considered. For the study of grid-independence, the absorption is computed for 40 x 156, 80 x 312, 160 x 624 and 240 x 1248 grids and examined. The result reveals that absorption level of both the pollutants for 40 x 156 and 80 x 312 grids vary considerably versus those on 160 x 624 grids. Further, there is no perceivable change of values obtaining on 240 x 1248 grids from that of 160 x 624 grids. It is therefore justifiable to presume that the solution occurred on 160 x 624 grids is a contingent solution. The above calculation cycle is then reiterated for each of the next time levels and consistent state solution is obtained when the following convergence convention for the residual defined as
C+ 1 - Cn Cn+ < E ii
is gratified. Here, C is the concentration, n indicates time, i and j indicates to the space coordinates.
For Cp, the Governing condition (equation)is:
+ U (z) LC-= a Kz(z) L)- k Cp,(1)
The underlying (initial) and limit conditions (Boundary)under the fitting suppositions are, given by,
C = 0 at t=O, 0 !x X0 and 0!z H,(2) C = at x=O, 0O!z H and V t>O. (3)
K ac,_ -Q, at z = 0, 0 < x I V t > 0 (4) az 0, at z=O, I<xXt(Xo)
' Kz =0 at z = H, x > 0, Vt. (5)
For C,, the Governing equation is
+ U(z) = Kz(z) ac)+ W a+VkCp, (6) at ax az Z az az gp
The underlying and limit conditions are given by,
C, =0 at t=O, for 0 !xX 0 and 0!z H. (7) C, = 0 at x O,for 0 z H and V t > 0. (8)
Kza+WsCs = 0 at z= 0, 0 x X and V t > 0. (9)
Kz +WsCs 0 at z = H, 0 x X0 and V t > 0,(10)
According to Shir, the eddy diffusivity profiles for neutral condition, is -4z Kz = 0.4u*ze H
For stable condition, as per Ku et al.,isKz = .74+4 -bi7 where
,r/ = ,f y (12)
The wind speed profiles for neutral and stable cases are due to Ragland,
Neutral stability Z < 0.1K f U = K z +zo
71 log+z g(ZU
Stable case _ z_ _ _zzo U log ( zzo )+5.2
In planetary limit layer, over the outward layer, power rulesystem is utilized.
Uus, + (l ug - uSO), (13)
Where p=0.2 Neutral condition p=0.35 Slightly stable flow p=0.5 Stable flow Suggested by Jones et al.1
We utilize the Crank-Nicolson plan to discretize the eq.(1).
a C, [+ a C, n a Cn1 at I + 0.5 U(z) + U(z)
=0.5 a[ Kz(z) a + Kz (z)a- (
fori 1,2,... j = 1,2,... (14)
where
aC - C - CA"g at I At ,(15)
U(z) = U[ cP PQ-C1fj (16)
U(z) axij U 7_) Ax1
8 n Kz(z)ac, I - Kzz (K (z) =) a)z ij+o.s 9Z i,j-o.s dz z d z fAz
1(Kj +Kj+ 1 (CA"i - CK\, 1 _1 + Kj(C) , -(Cj,,_1 Az 2 Az Az 2 Az
Hence,
(Kz (Z) -[(K+ 2(2p + Kj)(Cij+1 1 - CA"g) - (K; + Kj_1)(Cp"gj - CA"g- 1 )](18)
Similarly,
Cz n+. azKz(z) fl1
2 Az2[(Kj+1 + Ky) (C,gji C,g1) - (K; + Kj_1) (C,g 1 - C,g 1)] (19)
Substituting (15) to (19) in equation (14), then
ACnj*_ij + BCpni!i + D + cCEcC,+jiM ,1 = FcC_1 j + G Aj-_1 + M Cj + Nj j+1(20)
for each i 2,3,4,... imaxI ... imaxXO, for each j = 2,3,4,...jmax - 1 and n ,1,2,3,...
At At where, A= -Uj (,F= -A, B(j - +(K + K_1),
At 2 Gj =, -BJ~j = 4(Az) (K; + Kj+1),N = E,
At At At D_ = 1 + U 2 + 4(K-1+2K;+Kj+12 +-k, 2x4(AZ) '2
M j=1 - U1 A- (Kj+1 ~2 + 2K; + Kj_ 1 ) - k, M J2Ax 4(AZ)2
imaxlandimaxXo are the i values at x = I and Xorespectively and jmax is the value of j at z = H.
The discretization of equations (2) to (5) are as follows
Cp°,7 = 0, j = 1,2, ... Imax, i = 1,2,... imaxI ... imaxXO
Cn+ 1 = j= 1,2,...jmax, n = 0,1,2,...
Cn~tiCn~ti QAz Cj- Cj+ =- , (21)
for j = 1, i 2,3,4,.... imaxlandn = 0,1,2,3 . .
Cpgj - Cgjj1 = 0, (22)
forj= 1, i= imaxl + 1,... imaxXO and n = 0,1,2,3 . .
Cjmax-- CAi ax= 0, (23)
for j = jmax, i 2,3,4,... imaxl ... imaxXO
In the same way, finite difference equations for Cscan be composed as C'+D1 C'+ C'n +M'>N~ *+CCn
+ + AjC -_j + B;C t_\ + D;C t1 + E;C2||1 = FC _lj + Gj C2_1 + MC,,j + N; C, j+1 VkC2j , (24)
fori = 2,3,4 ... imaxi,... imaxXO, j =2,3,4,...jmax-1
The initial and border conditions Csare
Cs,O = 0, i = 1,2, ... imaxl ... imaxXO, j = 1,2,...jmax,
Cs1 = 0, j = 1,2,... jmax, n 0,1,2,...
1 (Ws) C - C2711 = 0,forj 1, i = 2,3,... imaxl ... imaxXO (25)
C_ + - 1) 0,for j jmax, i = 2,3,4, ... imaxl, ... imaxXO (2 6)
where, A = -U 2Ax' ,F =-A,B=- ' 4(AZ) 22 (K + Kj_ 1 ) +-- 2Az At,
Gj = 4(AZ) - (K + K_ 1 - W 2Az ,E =t - 4~(AZ) 2 Jl t (K + Kj+1),
At t At N= 2 (K;+Kj+1), Dj=1+Uj "t + tz 2 (2K;+Kj+ 1 +K_1)-Ws W,
-j=1 - UM2Ax A t 2 (Kj'+l + Kjj+ 2K)+ W, 4(Az) 2Az' equations from (20) to (23) and from(24) to (26) are solved using Thomas algorithm.
Right now, have built up a numerical model for the Cpand Cs in a city region with a progressively practical wind speed and eddy diffusivity profile with expulsion components, for example, gravitational settling (Ws). The concentration circulation is registered in the source area just as source free area till the ideal separation of X=12KM.
In figure 4 the impact of kcon Cp and Cs as to remove for stable case is examined. As kc expands, the concentration of Cp and Cs diminishes. In the event that kc =0.0015, the ground level centralization of Cp increases up to 180 and as kc expands, the ground level fixation diminishes quickly with downwind separation (distance). The ground level centralization of Csis high if kc =0.0015 and as kc builds the ground level focus diminishes with downwind separation for Ws=0.
In figure 5 the impact of kc on Cp and Cs with respect to the separation for neutral case is examined. As the kc increase, the centralization of Cp and Cs diminishes. On the off chance that kc=0.0015 the ground level convergence of Cp rises up to 55 and as kc expands the ground level focus diminishes quickly with downwind separation. Comparative impact is watched for Cs regarding downwind separation. From Figures 4 and 5 it is discovered that the magnitude of the concentration of Cp and Cs contaminants in stable circumstance is higher when equated to the neutral circumstance.
In figures 6 and 7, the grouping of Cp and Cs for various estimations of kc with respect to tallness for stable circumstance is contemplated. Comparative impact is seen in neutral circumstance as on account of stable environment yet the convergence of Cp is nil around the height of z=60 meters in stable case z=400 meters in neutral case and secondary poisons is zero around the height of z=40 meters in stable circumstance and z=200 meters in neutral circumstance. This shows the neutral climate circumstance upgrades the vertical dissemination of Cpand Cs conveying the toxins to higher heights.
In figure 8, the ground level concentration of Cs for various estimations of Ws with downwind separation for stable and neutral case is contemplated. The convergence of Cs diminishes as Ws increments. The extent of secondary contaminations is higher for the situation stable when contrast with neutral case for various estimations of Ws.
In figure 9, the ground level centralization of Cs for changed estimations of Ws with respect to height for together stable and neutral cases is considered, yet the convergence of Cs is zero around the height z=45 meters in stable and z=250 meters in neutral circumstance. This shows the neutral circumstance improves vertical dispersion of Cs, whereas stable case suppresses the vertical diffusion of pollutants which results in more concentrations near the ground surface.
The drawings and the forgoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts necessarily need to be performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples. Numerous variations, whether explicitly given in the specification or not, such as differences in structure, dimension, and use of material, are possible. The scope of embodiments is at least as broad as given by the following claims.
Benefits, other advantages, and solutions to problems have been described above with regard to specific embodiments. However, the benefits, advantages, solutions to problems, and any component(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature or component of any or all the claims.
Claims (4)
1. A method for air pollutants with chemical response and gravitational settling velocity, the method comprises:
Obtaining the overseeing partial differential equations by utilizing Crank-Nicolson implicit finite difference tool using a two-dimensional model; and examining the grouping of pollutants thereby studying for different removal mechanisms in both stable and neutral atmospheric circumstances.
2. The method as claimed in claim 1, wherein ramification of removal mechanisms such as chemical response and washout is studied for primary pollutant.
3. The method as claimed in claim 1, wherein the effect of gravitational settling velocity is considered for secondary pollutant.
4. A system for air pollutants with chemical response and gravitational settling velocity, the system comprises:
a two-dimensional model of air pollutants produced from an urban city region of primary and secondary pollutants through chemical response and gravitational settling speed; a Crank-Nicolson implicit finite difference tool for obtaining the overseeing partial differential equations; and a processing unit for examining the grouping of pollutants thereby studying for different removal mechanisms in both stable and neutral atmospheric circumstances.
A Crank-Nicolson A Two-Dimensional Implicit Finite Model 102 Difference Tool 104
A Processing Unit 106
Figure 1 obtaining the overseeing partial differential equations by utilizing Crank-Nicolson implicit finite 202 difference tool using a two-dimensional model examining the grouping of pollutants thereby studying for different removal mechanisms in both 204 stable and neutral atmospheric circumstances
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU2021106225A AU2021106225A4 (en) | 2021-08-20 | 2021-08-20 | A system and method for air pollutants with chemical response and gravitational settling velocity |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU2021106225A AU2021106225A4 (en) | 2021-08-20 | 2021-08-20 | A system and method for air pollutants with chemical response and gravitational settling velocity |
Publications (1)
Publication Number | Publication Date |
---|---|
AU2021106225A4 true AU2021106225A4 (en) | 2021-12-09 |
Family
ID=78819050
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
AU2021106225A Ceased AU2021106225A4 (en) | 2021-08-20 | 2021-08-20 | A system and method for air pollutants with chemical response and gravitational settling velocity |
Country Status (1)
Country | Link |
---|---|
AU (1) | AU2021106225A4 (en) |
-
2021
- 2021-08-20 AU AU2021106225A patent/AU2021106225A4/en not_active Ceased
Similar Documents
Publication | Publication Date | Title |
---|---|---|
El-Fadel et al. | Vehicular emissions in roadway tunnels: a critical review | |
Chen et al. | Investigating the differences between receptor and dispersion modeling for concentration prediction and health risk assessment of volatile organic compounds from petrochemical industrial complexes | |
Xu et al. | Assessing the impact of rainfall on traffic operation of urban road network | |
Mallongi et al. | Modelling of S02 and CO Pollution Due to Industry PLTD Emission Tello in Makassar Indonesia | |
Rao et al. | An evaluation of some commonly used highway dispersion models | |
RU2643388C2 (en) | Air pollution control device and method | |
Jin et al. | Transport characteristics of PM 2.5 inside urban street canyons: The effects of trees and vehicles | |
AU2021106225A4 (en) | A system and method for air pollutants with chemical response and gravitational settling velocity | |
Gasmi et al. | Analysis of NOx, NO and NO2 ambient levels in Dhahran, Saudi Arabia | |
Garber et al. | Incorporating crash risk in selecting congestion-mitigation strategies: Hampton Roads area (Virginia) case study | |
Xiang et al. | Variability of NO2/NO x Ratios in Multiple Microenvironments from On-Road and Near-Roadway Measurements | |
Tarko et al. | Estimating the frequency of crashes as extreme traffic events | |
Massah Bavani et al. | Impacts of climate change on water resources and food production: A case study of Zayandeh-Rud Basin, Esfahan, Iran | |
Qiu et al. | Investigation into pedestrian exposure to traffic PM around grade separations: a case study in Xi’an, China | |
JP2004157898A (en) | Environmental monitoring system | |
Abdulkareem | Urban air pollution evaluation by computer simulation: a case study of petroleum refining company, Nigeria | |
Modi et al. | A review on theoretical air pollutants dispersion models. | |
Byers et al. | Atmospheric pollution | |
Suciu et al. | IoT system for air pollutants assessment in underground infrastructures | |
Pospisil et al. | Numerical modelling of transient dispersion of air pollution in perpendicular urban street intersection with detail inclusion of traffic dynamics | |
Ellis et al. | Comparison of ADMS-roads, CALINE4 and UK DMRB model predictions for roads | |
Selvakumar et al. | Validation of point source models for determining industrial pollution and integrating with iot for vulnerability management | |
Nigam et al. | Carbon monoxide modeling studies: a review | |
CN111216520A (en) | Vehicle-mounted mobile type based ambient air purification method and device | |
Wang et al. | Study of the local-comparison change-point algorithm to analyze traffic flow breakdown |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
FGI | Letters patent sealed or granted (innovation patent) | ||
MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |