SlideShare a Scribd company logo
Faculty of Environment



                        Integrated GIS-based
                                   GIS-
                 Experimental-
                 Experimental-Computational
                Methods for Urban Air Pollution
                                       Modeling
                 Amir M. Yadghar
                         PhD Candidate
                  University of Western Ontario
                         24 Dec. 2008




Air Pollution               Air Pollution Definition

                   ‫آﻟﻮدﮔﻲ ﻫﻮا ﻋﺒﺎرت اﺳﺖ از وﺟﻮد ﻫﺮ ﻧﻮع آﻻﻳﻨﺪه اﻋﻢ از‬
                   ‫ﺟﺎﻣﺪ، ﻣﺎﻳﻊ و ﮔﺎز در ﻫﻮا ﺑﺑﻪ ﻣﻘﺪار و در ﻣﺪت زﻣﺎﻧﻲ ﻛﻪ ﻛﻴﻔﻴﺖ‬
                    ‫ﻴﻴ‬          ‫ز‬     ‫رر‬              ‫ﻳﻊ ز ر ﻮ‬             ‫ﺟ‬
                   ‫زﻧﺪﮔﻲ را ﺑﺮاي اﻧﺴﺎن و دﻳﮕﺮ ﺟﺎﻧﺪاران ﺑﻪ ﺧﻄﺮ اﻧﺪازد و ﻳﺎ ﺑﻪ‬
                                           .‫آﺛﺎر ﺑﺎﺳﺘﺎﻧﻲ و اﻣﻮال، ﺧﺴﺎرت وارد آورد‬




                                                                                    ١
‫ﻣﺪﻟﺴﺎزي آﻟﻮدﮔﻲ ﻫﻮا – ﭼﺮا؟‬
                                         ‫ﻣﺪل آﻟﻮدﮔﻲ ﻫﻮا‬
                                                                                                  ‫1( ﺑﺮآورد اﻧﺘﺸﺎر آﻻﻳﻨﺪه ﻫﺎ‬




                 ‫ﻣﺪﻟﺴﺎزي آﻟﻮدﮔﻲ ﻫﻮا – ﭼﺮا؟‬                                  ‫ﻣﺪﻟﺴﺎزي آﻟﻮدﮔﻲ ﻫﻮا – ﭼﺮا؟‬
‫3( ارزﻳﺎﺑﻲ اﺳﺘﺮاﺗﮋي ﻫﺎي ﻛﻨﺘﺮﻟﻲ ﺟﺎﻳﮕﺰﻳﻦ‬      ‫2( ﺷﻨﺎﺳﺎﻳﻲ ﺻﺤﻴﺢ ﻣﻨﺎﺑﻊ‬   ‫5( ﺗﺨﻤﻴﻦ اﺛﺮات ﻣﻀﺮ ﺑﺮ ﺳﻼﻣﺘﻲ‬              ‫4( ﻧﻈﺎرت ﻣﺆﺛﺮ‬




                                                                                                                               ‫٢‬
‫ﻣﺪﻟﺴﺎزي ﻛﻴﻔﻴﺖ ﻫﻮا – ﭼﮕﻮﻧﻪ؟‬                                                                           ‫ﻣﺪﻟﺴﺎزي‬

                                                                                1. Empirical Equations (US EPA, ASHRAE)


                                                                                2. Physical models (water flume, wind tunnel, etc.)
‫ﻣﺤﺪوده ﻫﺎي ﻻزم ﺑﺮاي ﻣﺪل ﺳﺎزي‬

                                                                                3. Computational Fluid Dynamics (CFD)



                                                                                Numerical (computer) models:

                                                                                1. Gaussian models (ISC3, AERMOD, SCREEN3)
     ‫ﻓﺎﻛﺘﻮرﻫﺎي ﻣﺸﺘﺮك در ﻣﺪل ﻫﺎ‬

                                                                                2. Puff models (CALPUFF)




                                       ‫ﻣﺪل ﻫﺎي ﻛﻴﻔﻴﺖ ﻫﻮا‬                               Experimental Methods

Dispersion Modeling - These models are typically used in the permitting
                                                                                Different kinds
process to estimate the concentration of pollutants at specified ground-level
receptors surrounding an emissions source.

                                                                                Different fields
Photochemical Modeling - These models are typically used in regulatory or
policy assessments to simulate the impacts from all sources by estimating
pollutant concentrations and deposition of both inert and chemically reactive
                                                                                Why?
pollutants over large spatial scales.


Receptor Modeling - These models are observational techniques which use
the chemical and physical characteristics of gases and particles measured at
source and receptor to both identify the presence of and to quantify source
contributions to receptor concentrations.




                                                                                                                                      ٣
‫ﻣﺪﻟﺴﺎزي ﻓﻴﺰﻳﻜﻲ‬                                                                  ‫ﺗﻮﻧﻞ ﺑﺎد‬
                                       A wind tunnel is a research tool developed to assist

                                       with studying the effects of air moving over or

                                       around solid objects.




                 ‫ﺗﻮﻧﻞ ﺑﺎد – ﻻﻳﻪ ﻣﺮزي‬                                             ‫ﺗﻮﻧﻞ ﺑﺎد – ﻛﺎرﺑﺮد‬

Atmospheric Boundary Layer (ABL)



                                       Pedestrian-level Wind Environment
                                       Wind Climate studies
                                       Snow and Ice studies
                                       Indoor Air Quality studies
                                       Simulation of Downburst
                                       Atmospheric dispersion of gaseous pollutants in complex terrain




                                                                                                               ٤
GPS Dropwindsonde ‫دﺳﺘﮕﺎه‬                                                                                                    CFD
                                                                     Computational Fluid Dynamics (CFD) is one of the
                                                                     branches of fluid mechanics that uses numerical methods
                                                                     and algorithms to solve and analyze problems that involve
                                                                     fluid flows Computers are used to perform the millions of
                                                                           flows.
                                                                     calculations required to simulate the interaction of fluids and
                                                                     gases with the complex surfaces used in engineering. Even
                                                                     with simplified equations and high-speed supercomputers,
                                                                     only approximate solutions can be achieved in many cases.
                                                                     Ongoing research, however, may yield software that improves
                                                                     the accuracy and speed of complex simulation scenarios such
                                                                     as transonic or turbulent flows.




  CFD                                                                          CFD Methods Consideration

                                                                     • Topography and complex geometry: choose of the co-ordinate
The tests and modelings demonstrate the possibilities of CFD
                                                                     system and computer grid;
techniques in solving a broad range of air pollution problems. The   • Turbulence closure for air pollution modelling: modified k-ε model
                                                                                                                    g
                                                                     for stable stratified ABL;
CFD techniques are rather complex, but capable of handling
                                                                     • Boundary conditions for vertical profiles of velocity for stable-
situations where due to complex geometry, thermal effects or flow
                                                                     stratified atmosphere;
conditions other simpler methods fail.                               • Effects of the radiation and thermal budget of inclined surfaces to
                                                                     dispersion of pollutants;
                                                                     • Artificial sources of air dynamics and circulation




                                                                                                                                             ٥
CFD Modeling
Navier-Stokes :‫ﻣﻌﺎدﻟﻪ ﺣﺎﻛﻢ‬




                                FLUENT




  CFD ‫ﻧﻤﻮﻧﻪ اي از ﻣﺪﻟﺴﺎزي ﺑﺎ‬   Wind Tunnel Tests




                                                   ٦
Wind Tunnel Tests                        Wind Tunnel Tests




Wind Tunnel Tests            Eulerian Advection/Diffusion Models


                    Wind speeds and concentrations are specified in a

                    stationary co-ordinate system (i.e. as “fields”)
                             y              y     (                )

                    Wind speed field is found using computational fluid

                    dynamics (CFD)

                    Advection diffusion equation solved for concentration

                    field.




                                                                            ٧
‫‪Geographical Information System‬‬                                          ‫‪GIS STRUCTURE FOR AIR POLLUTION MODELLING‬‬

                                                                           ‫‪Traffic Demand‬‬         ‫‪Driving cycles‬‬    ‫‪Meteorological‬‬
                                                                                   ‫&‬                     ‫&‬                ‫&‬
   ‫ﺳﻴﺴﺘﻢ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ، ﻣﺠﻤﻮﻋﻪي ﺳﺎزﻣﺎن ﻳﺎﻓﺘﻪاي از ﺳﺨﺖ اﻓﺰار، ﻧﺮم‬        ‫‪Road Network‬‬         ‫‪Fleet composition‬‬   ‫‪Climatic Data‬‬

   ‫اﻓﺰار، اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ، روش و ﻧﻴﺮوي اﻧﺴﺎﻧﻲ ﻣﺘﺨﺼﺺ اﺳﺖ ﻛﻪ ﺟﻬﺖ‬
   ‫ﻛﺴﺐ، ورود، ﺳﺎزﻣﺎﻧﺪﻫﻲ، ذﺧﻴﺮه، ﺑﻪ ﻫﻨﮕﺎم ﺳﺎزي، ﭘﺮدازش، ﺗﺤﻠﻴﻞ و ﺗﻠﻔﻴﻖ‬
                                                                           ‫‪GEOGRAPHIC INFORMATION SYSTEM‬‬
   ‫اﻃﻼﻋﺎت اﻳﺠﺎد ﻣﻲﺷﻮد. ﺑﻨﺎﺑﺮ اﻳﻦ ﺳﻴﺴﺘﻢ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ ﻋﻼوه ﺑﺮ ذﺧﻴﺮه و‬
                                                                                ‫‪Traffic‬‬             ‫‪Emission‬‬        ‫‪Dispersion‬‬
   ‫ﺳﺎزﻣﺎﻧﺪﻫﻲ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ ﺑﻪ ﺷﻜﻞ رﻗﻮﻣﻲ و اﻣﻜﺎﻧﺎت ﺑﺎزﻳﺎﺑﻲ ﺳﺮﻳﻊ و ﺑﻪ‬          ‫‪Model‬‬                ‫‪Model‬‬            ‫‪Model‬‬

   ‫ﻫﻨﮕﺎم ﺳﺎزي اﻃﻼﻋﺎت، اﺑﺰار و ﻗﺎﺑﻠﻴﺘﻬﺎي ﻻزم را ﺑﺮاي اﻧﻮاع ﭘﺮدازشﻫﺎ،‬
       ‫ﺗﺤﻠﻴﻞﻫﺎي ﻓﻀﺎﻳﻲ، ﺗﻠﻔﻴﻖ و ﻣﺪلﺳﺎزي اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ ﻓﺮاﻫﻢ ﻣﻲﺳﺎزد.‬

‫‪GIS‬‬                                                                         ‫‪Traffic Flows‬‬                           ‫‪Concentrations‬‬
                                                                                                   ‫‪Emissions‬‬
                                                                              ‫‪Mapping‬‬                                 ‫‪Mapping‬‬
                                                                                                    ‫‪Mapping‬‬




                                                                              ‫‪Traffic Routes Data Layer‬‬
                                       ‫‪Topography‬‬




                                                                                                                                     ‫٨‬
Urban Blocks Land Use      GIS Model 1 – Example 2




     CO – Cell Modeling   CO (LDV) – Buffer Modeling




                                                       ٩
‫ﻧﺘﺎﻳﺞ‬
 CO – Ordinary Kriging Model



                                                        Analysing
                                                        Ali          ‫ﺗﺤﻠﻴﻞ‬
                                                                     ‫ﺗ ﻠﻞ‬

                                                      Verifying       ‫ﺑﺮرﺳﻲ‬




                                                      ‫از ﺗﻮﺟﻪ ﺷﻤﺎ ﻣﺘﺸﻜﺮم‬
                ‫ﭘﻴﺸﻨﻬﺎدﻫﺎﻳﻲ ﺑﺮاي آﻳﻨﺪه‬

Integration   between    computational methods,

experiments     and     numerical      methods   in

environmental modeling especially air pollution

modeling, is an area in its infancy.




                                                                               ١٠

More Related Content

Similar to Computational methods applications in air pollution modeling (Dr. Yadghar)

俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3681
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3681俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3681
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3681
Azerbaijan Laws
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3886
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3886俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3886
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3886
Azerbaijan Laws
 
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 150
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 150俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 150
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 150
Turkmenistan Laws
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3902
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3902俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3902
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3902
Azerbaijan Laws
 
Iir 08 ver.1.0
Iir 08 ver.1.0Iir 08 ver.1.0
Iir 08 ver.1.0
takashi shiraki
 
4200 Kte7.0 Training V1.0
4200 Kte7.0 Training V1.04200 Kte7.0 Training V1.0
4200 Kte7.0 Training V1.0
wayneliao
 
企业级搜索引擎Solr交流
企业级搜索引擎Solr交流企业级搜索引擎Solr交流
企业级搜索引擎Solr交流
chuan liang
 
Lec 1 07
Lec 1 07Lec 1 07
Lec 1 07
pinklife10
 
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 2671
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 2671俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 2671
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 2671
Turkmenistan Laws
 
【12-C-5】 自律型移動ロボットのソフトウェア技術
【12-C-5】 自律型移動ロボットのソフトウェア技術【12-C-5】 自律型移動ロボットのソフトウェア技術
【12-C-5】 自律型移動ロボットのソフトウェア技術
devsumi2009
 
Ph2
Ph2Ph2
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 4103
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 4103俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 4103
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 4103
Azerbaijan Laws
 
Archydro
ArchydroArchydro
Archydro
abkhiz
 
Archydro
ArchydroArchydro
Archydro
abkhiz
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3072
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3072俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3072
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3072
Azerbaijan Laws
 
QM-081-品質控制統計製程管制
QM-081-品質控制統計製程管制QM-081-品質控制統計製程管制
QM-081-品質控制統計製程管制
handbook
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3426
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3426俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3426
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3426
Azerbaijan Laws
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3085
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3085俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3085
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3085
Azerbaijan Laws
 
俄罗斯Gost标准,进出口购买商品目录№RG 3759
俄罗斯Gost标准,进出口购买商品目录№RG 3759俄罗斯Gost标准,进出口购买商品目录№RG 3759
俄罗斯Gost标准,进出口购买商品目录№RG 3759
Turkmenistan Laws
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3679
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3679俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3679
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3679
Azerbaijan Laws
 

Similar to Computational methods applications in air pollution modeling (Dr. Yadghar) (20)

俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3681
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3681俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3681
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3681
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3886
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3886俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3886
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3886
 
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 150
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 150俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 150
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 150
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3902
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3902俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3902
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3902
 
Iir 08 ver.1.0
Iir 08 ver.1.0Iir 08 ver.1.0
Iir 08 ver.1.0
 
4200 Kte7.0 Training V1.0
4200 Kte7.0 Training V1.04200 Kte7.0 Training V1.0
4200 Kte7.0 Training V1.0
 
企业级搜索引擎Solr交流
企业级搜索引擎Solr交流企业级搜索引擎Solr交流
企业级搜索引擎Solr交流
 
Lec 1 07
Lec 1 07Lec 1 07
Lec 1 07
 
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 2671
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 2671俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 2671
俄罗斯进出口标准,技术规格,法律,法规,中英文,目录编号RG 2671
 
【12-C-5】 自律型移動ロボットのソフトウェア技術
【12-C-5】 自律型移動ロボットのソフトウェア技術【12-C-5】 自律型移動ロボットのソフトウェア技術
【12-C-5】 自律型移動ロボットのソフトウェア技術
 
Ph2
Ph2Ph2
Ph2
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 4103
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 4103俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 4103
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 4103
 
Archydro
ArchydroArchydro
Archydro
 
Archydro
ArchydroArchydro
Archydro
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3072
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3072俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3072
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3072
 
QM-081-品質控制統計製程管制
QM-081-品質控制統計製程管制QM-081-品質控制統計製程管制
QM-081-品質控制統計製程管制
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3426
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3426俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3426
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3426
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3085
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3085俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3085
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3085
 
俄罗斯Gost标准,进出口购买商品目录№RG 3759
俄罗斯Gost标准,进出口购买商品目录№RG 3759俄罗斯Gost标准,进出口购买商品目录№RG 3759
俄罗斯Gost标准,进出口购买商品目录№RG 3759
 
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3679
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3679俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3679
俄语GOST标准,技术规范,法律,法规,中文英语,目录编号RG 3679
 

More from knowdiff

Ut talk feb 2017
Ut talk   feb 2017Ut talk   feb 2017
Ut talk feb 2017
knowdiff
 
Ali khalili: Towards an Open Linked Data-based Infrastructure for Studying Sc...
Ali khalili: Towards an Open Linked Data-based Infrastructure for Studying Sc...Ali khalili: Towards an Open Linked Data-based Infrastructure for Studying Sc...
Ali khalili: Towards an Open Linked Data-based Infrastructure for Studying Sc...
knowdiff
 
Scheduling for cloud systems with multi level data locality
Scheduling for cloud systems with multi level data localityScheduling for cloud systems with multi level data locality
Scheduling for cloud systems with multi level data locality
knowdiff
 
Amin Milani Fard: Directed Model Inference for Testing and Analysis of Web Ap...
Amin Milani Fard: Directed Model Inference for Testing and Analysis of Web Ap...Amin Milani Fard: Directed Model Inference for Testing and Analysis of Web Ap...
Amin Milani Fard: Directed Model Inference for Testing and Analysis of Web Ap...
knowdiff
 
Knowledge based economy and power of crowd sourcing
Knowledge based economy and power of crowd sourcing Knowledge based economy and power of crowd sourcing
Knowledge based economy and power of crowd sourcing
knowdiff
 
Amin tayyebi: Big Data and Land Use Change Science
Amin tayyebi: Big Data and Land Use Change ScienceAmin tayyebi: Big Data and Land Use Change Science
Amin tayyebi: Big Data and Land Use Change Science
knowdiff
 
Mehdi Rezagholizadeh: Image Sensor Modeling: Color Measurement at Low Light L...
Mehdi Rezagholizadeh: Image Sensor Modeling: Color Measurement at Low Light L...Mehdi Rezagholizadeh: Image Sensor Modeling: Color Measurement at Low Light L...
Mehdi Rezagholizadeh: Image Sensor Modeling: Color Measurement at Low Light L...
knowdiff
 
Sara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time Systems
Sara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time SystemsSara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time Systems
Sara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time Systems
knowdiff
 
Seyed Mehdi mohaghegh: Modelling material use within the low carbon energy pa...
Seyed Mehdi mohaghegh: Modelling material use within the low carbon energy pa...Seyed Mehdi mohaghegh: Modelling material use within the low carbon energy pa...
Seyed Mehdi mohaghegh: Modelling material use within the low carbon energy pa...
knowdiff
 
Narjess Afzaly: Model Your Problem with Graphs and Generate your objects
Narjess Afzaly: Model Your Problem with Graphs and Generate your objectsNarjess Afzaly: Model Your Problem with Graphs and Generate your objects
Narjess Afzaly: Model Your Problem with Graphs and Generate your objects
knowdiff
 
Somaz Kolahi : Functional Dependencies: Redundancy Analysis and Correcting Vi...
Somaz Kolahi : Functional Dependencies: Redundancy Analysis and Correcting Vi...Somaz Kolahi : Functional Dependencies: Redundancy Analysis and Correcting Vi...
Somaz Kolahi : Functional Dependencies: Redundancy Analysis and Correcting Vi...
knowdiff
 
Uncalibrated Image-Based Robotic Visual Servoing (knowdiff.net)
Uncalibrated Image-Based Robotic Visual Servoing (knowdiff.net)Uncalibrated Image-Based Robotic Visual Servoing (knowdiff.net)
Uncalibrated Image-Based Robotic Visual Servoing (knowdiff.net)
knowdiff
 
Knowdiff visiting lecturer 140 (Azad Shademan): Uncalibrated Image-Based Robo...
Knowdiff visiting lecturer 140 (Azad Shademan): Uncalibrated Image-Based Robo...Knowdiff visiting lecturer 140 (Azad Shademan): Uncalibrated Image-Based Robo...
Knowdiff visiting lecturer 140 (Azad Shademan): Uncalibrated Image-Based Robo...
knowdiff
 
Mehran Shaghaghi: Quantum Mechanics Dilemmas
Mehran Shaghaghi: Quantum Mechanics DilemmasMehran Shaghaghi: Quantum Mechanics Dilemmas
Mehran Shaghaghi: Quantum Mechanics Dilemmas
knowdiff
 
Hossein Taghavi : Codes on Graphs
Hossein Taghavi : Codes on GraphsHossein Taghavi : Codes on Graphs
Hossein Taghavi : Codes on Graphs
knowdiff
 
Dr. Amir Nejat
Dr. Amir NejatDr. Amir Nejat
Dr. Amir Nejat
knowdiff
 
Alborz
AlborzAlborz
Alborz
knowdiff
 

More from knowdiff (17)

Ut talk feb 2017
Ut talk   feb 2017Ut talk   feb 2017
Ut talk feb 2017
 
Ali khalili: Towards an Open Linked Data-based Infrastructure for Studying Sc...
Ali khalili: Towards an Open Linked Data-based Infrastructure for Studying Sc...Ali khalili: Towards an Open Linked Data-based Infrastructure for Studying Sc...
Ali khalili: Towards an Open Linked Data-based Infrastructure for Studying Sc...
 
Scheduling for cloud systems with multi level data locality
Scheduling for cloud systems with multi level data localityScheduling for cloud systems with multi level data locality
Scheduling for cloud systems with multi level data locality
 
Amin Milani Fard: Directed Model Inference for Testing and Analysis of Web Ap...
Amin Milani Fard: Directed Model Inference for Testing and Analysis of Web Ap...Amin Milani Fard: Directed Model Inference for Testing and Analysis of Web Ap...
Amin Milani Fard: Directed Model Inference for Testing and Analysis of Web Ap...
 
Knowledge based economy and power of crowd sourcing
Knowledge based economy and power of crowd sourcing Knowledge based economy and power of crowd sourcing
Knowledge based economy and power of crowd sourcing
 
Amin tayyebi: Big Data and Land Use Change Science
Amin tayyebi: Big Data and Land Use Change ScienceAmin tayyebi: Big Data and Land Use Change Science
Amin tayyebi: Big Data and Land Use Change Science
 
Mehdi Rezagholizadeh: Image Sensor Modeling: Color Measurement at Low Light L...
Mehdi Rezagholizadeh: Image Sensor Modeling: Color Measurement at Low Light L...Mehdi Rezagholizadeh: Image Sensor Modeling: Color Measurement at Low Light L...
Mehdi Rezagholizadeh: Image Sensor Modeling: Color Measurement at Low Light L...
 
Sara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time Systems
Sara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time SystemsSara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time Systems
Sara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time Systems
 
Seyed Mehdi mohaghegh: Modelling material use within the low carbon energy pa...
Seyed Mehdi mohaghegh: Modelling material use within the low carbon energy pa...Seyed Mehdi mohaghegh: Modelling material use within the low carbon energy pa...
Seyed Mehdi mohaghegh: Modelling material use within the low carbon energy pa...
 
Narjess Afzaly: Model Your Problem with Graphs and Generate your objects
Narjess Afzaly: Model Your Problem with Graphs and Generate your objectsNarjess Afzaly: Model Your Problem with Graphs and Generate your objects
Narjess Afzaly: Model Your Problem with Graphs and Generate your objects
 
Somaz Kolahi : Functional Dependencies: Redundancy Analysis and Correcting Vi...
Somaz Kolahi : Functional Dependencies: Redundancy Analysis and Correcting Vi...Somaz Kolahi : Functional Dependencies: Redundancy Analysis and Correcting Vi...
Somaz Kolahi : Functional Dependencies: Redundancy Analysis and Correcting Vi...
 
Uncalibrated Image-Based Robotic Visual Servoing (knowdiff.net)
Uncalibrated Image-Based Robotic Visual Servoing (knowdiff.net)Uncalibrated Image-Based Robotic Visual Servoing (knowdiff.net)
Uncalibrated Image-Based Robotic Visual Servoing (knowdiff.net)
 
Knowdiff visiting lecturer 140 (Azad Shademan): Uncalibrated Image-Based Robo...
Knowdiff visiting lecturer 140 (Azad Shademan): Uncalibrated Image-Based Robo...Knowdiff visiting lecturer 140 (Azad Shademan): Uncalibrated Image-Based Robo...
Knowdiff visiting lecturer 140 (Azad Shademan): Uncalibrated Image-Based Robo...
 
Mehran Shaghaghi: Quantum Mechanics Dilemmas
Mehran Shaghaghi: Quantum Mechanics DilemmasMehran Shaghaghi: Quantum Mechanics Dilemmas
Mehran Shaghaghi: Quantum Mechanics Dilemmas
 
Hossein Taghavi : Codes on Graphs
Hossein Taghavi : Codes on GraphsHossein Taghavi : Codes on Graphs
Hossein Taghavi : Codes on Graphs
 
Dr. Amir Nejat
Dr. Amir NejatDr. Amir Nejat
Dr. Amir Nejat
 
Alborz
AlborzAlborz
Alborz
 

Recently uploaded

Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Malak Abu Hammad
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Speck&Tech
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
Mariano Tinti
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Zilliz
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 

Recently uploaded (20)

Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
TrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc Webinar - 2024 Global Privacy Survey
TrustArc Webinar - 2024 Global Privacy Survey
 
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfUnlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
 
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalizationFull-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 

Computational methods applications in air pollution modeling (Dr. Yadghar)

  • 1. Faculty of Environment Integrated GIS-based GIS- Experimental- Experimental-Computational Methods for Urban Air Pollution Modeling Amir M. Yadghar PhD Candidate University of Western Ontario 24 Dec. 2008 Air Pollution Air Pollution Definition ‫آﻟﻮدﮔﻲ ﻫﻮا ﻋﺒﺎرت اﺳﺖ از وﺟﻮد ﻫﺮ ﻧﻮع آﻻﻳﻨﺪه اﻋﻢ از‬ ‫ﺟﺎﻣﺪ، ﻣﺎﻳﻊ و ﮔﺎز در ﻫﻮا ﺑﺑﻪ ﻣﻘﺪار و در ﻣﺪت زﻣﺎﻧﻲ ﻛﻪ ﻛﻴﻔﻴﺖ‬ ‫ﻴﻴ‬ ‫ز‬ ‫رر‬ ‫ﻳﻊ ز ر ﻮ‬ ‫ﺟ‬ ‫زﻧﺪﮔﻲ را ﺑﺮاي اﻧﺴﺎن و دﻳﮕﺮ ﺟﺎﻧﺪاران ﺑﻪ ﺧﻄﺮ اﻧﺪازد و ﻳﺎ ﺑﻪ‬ .‫آﺛﺎر ﺑﺎﺳﺘﺎﻧﻲ و اﻣﻮال، ﺧﺴﺎرت وارد آورد‬ ١
  • 2. ‫ﻣﺪﻟﺴﺎزي آﻟﻮدﮔﻲ ﻫﻮا – ﭼﺮا؟‬ ‫ﻣﺪل آﻟﻮدﮔﻲ ﻫﻮا‬ ‫1( ﺑﺮآورد اﻧﺘﺸﺎر آﻻﻳﻨﺪه ﻫﺎ‬ ‫ﻣﺪﻟﺴﺎزي آﻟﻮدﮔﻲ ﻫﻮا – ﭼﺮا؟‬ ‫ﻣﺪﻟﺴﺎزي آﻟﻮدﮔﻲ ﻫﻮا – ﭼﺮا؟‬ ‫3( ارزﻳﺎﺑﻲ اﺳﺘﺮاﺗﮋي ﻫﺎي ﻛﻨﺘﺮﻟﻲ ﺟﺎﻳﮕﺰﻳﻦ‬ ‫2( ﺷﻨﺎﺳﺎﻳﻲ ﺻﺤﻴﺢ ﻣﻨﺎﺑﻊ‬ ‫5( ﺗﺨﻤﻴﻦ اﺛﺮات ﻣﻀﺮ ﺑﺮ ﺳﻼﻣﺘﻲ‬ ‫4( ﻧﻈﺎرت ﻣﺆﺛﺮ‬ ‫٢‬
  • 3. ‫ﻣﺪﻟﺴﺎزي ﻛﻴﻔﻴﺖ ﻫﻮا – ﭼﮕﻮﻧﻪ؟‬ ‫ﻣﺪﻟﺴﺎزي‬ 1. Empirical Equations (US EPA, ASHRAE) 2. Physical models (water flume, wind tunnel, etc.) ‫ﻣﺤﺪوده ﻫﺎي ﻻزم ﺑﺮاي ﻣﺪل ﺳﺎزي‬ 3. Computational Fluid Dynamics (CFD) Numerical (computer) models: 1. Gaussian models (ISC3, AERMOD, SCREEN3) ‫ﻓﺎﻛﺘﻮرﻫﺎي ﻣﺸﺘﺮك در ﻣﺪل ﻫﺎ‬ 2. Puff models (CALPUFF) ‫ﻣﺪل ﻫﺎي ﻛﻴﻔﻴﺖ ﻫﻮا‬ Experimental Methods Dispersion Modeling - These models are typically used in the permitting Different kinds process to estimate the concentration of pollutants at specified ground-level receptors surrounding an emissions source. Different fields Photochemical Modeling - These models are typically used in regulatory or policy assessments to simulate the impacts from all sources by estimating pollutant concentrations and deposition of both inert and chemically reactive Why? pollutants over large spatial scales. Receptor Modeling - These models are observational techniques which use the chemical and physical characteristics of gases and particles measured at source and receptor to both identify the presence of and to quantify source contributions to receptor concentrations. ٣
  • 4. ‫ﻣﺪﻟﺴﺎزي ﻓﻴﺰﻳﻜﻲ‬ ‫ﺗﻮﻧﻞ ﺑﺎد‬ A wind tunnel is a research tool developed to assist with studying the effects of air moving over or around solid objects. ‫ﺗﻮﻧﻞ ﺑﺎد – ﻻﻳﻪ ﻣﺮزي‬ ‫ﺗﻮﻧﻞ ﺑﺎد – ﻛﺎرﺑﺮد‬ Atmospheric Boundary Layer (ABL) Pedestrian-level Wind Environment Wind Climate studies Snow and Ice studies Indoor Air Quality studies Simulation of Downburst Atmospheric dispersion of gaseous pollutants in complex terrain ٤
  • 5. GPS Dropwindsonde ‫دﺳﺘﮕﺎه‬ CFD Computational Fluid Dynamics (CFD) is one of the branches of fluid mechanics that uses numerical methods and algorithms to solve and analyze problems that involve fluid flows Computers are used to perform the millions of flows. calculations required to simulate the interaction of fluids and gases with the complex surfaces used in engineering. Even with simplified equations and high-speed supercomputers, only approximate solutions can be achieved in many cases. Ongoing research, however, may yield software that improves the accuracy and speed of complex simulation scenarios such as transonic or turbulent flows. CFD CFD Methods Consideration • Topography and complex geometry: choose of the co-ordinate The tests and modelings demonstrate the possibilities of CFD system and computer grid; techniques in solving a broad range of air pollution problems. The • Turbulence closure for air pollution modelling: modified k-ε model g for stable stratified ABL; CFD techniques are rather complex, but capable of handling • Boundary conditions for vertical profiles of velocity for stable- situations where due to complex geometry, thermal effects or flow stratified atmosphere; conditions other simpler methods fail. • Effects of the radiation and thermal budget of inclined surfaces to dispersion of pollutants; • Artificial sources of air dynamics and circulation ٥
  • 6. CFD Modeling Navier-Stokes :‫ﻣﻌﺎدﻟﻪ ﺣﺎﻛﻢ‬ FLUENT CFD ‫ﻧﻤﻮﻧﻪ اي از ﻣﺪﻟﺴﺎزي ﺑﺎ‬ Wind Tunnel Tests ٦
  • 7. Wind Tunnel Tests Wind Tunnel Tests Wind Tunnel Tests Eulerian Advection/Diffusion Models Wind speeds and concentrations are specified in a stationary co-ordinate system (i.e. as “fields”) y y ( ) Wind speed field is found using computational fluid dynamics (CFD) Advection diffusion equation solved for concentration field. ٧
  • 8. ‫‪Geographical Information System‬‬ ‫‪GIS STRUCTURE FOR AIR POLLUTION MODELLING‬‬ ‫‪Traffic Demand‬‬ ‫‪Driving cycles‬‬ ‫‪Meteorological‬‬ ‫&‬ ‫&‬ ‫&‬ ‫ﺳﻴﺴﺘﻢ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ، ﻣﺠﻤﻮﻋﻪي ﺳﺎزﻣﺎن ﻳﺎﻓﺘﻪاي از ﺳﺨﺖ اﻓﺰار، ﻧﺮم‬ ‫‪Road Network‬‬ ‫‪Fleet composition‬‬ ‫‪Climatic Data‬‬ ‫اﻓﺰار، اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ، روش و ﻧﻴﺮوي اﻧﺴﺎﻧﻲ ﻣﺘﺨﺼﺺ اﺳﺖ ﻛﻪ ﺟﻬﺖ‬ ‫ﻛﺴﺐ، ورود، ﺳﺎزﻣﺎﻧﺪﻫﻲ، ذﺧﻴﺮه، ﺑﻪ ﻫﻨﮕﺎم ﺳﺎزي، ﭘﺮدازش، ﺗﺤﻠﻴﻞ و ﺗﻠﻔﻴﻖ‬ ‫‪GEOGRAPHIC INFORMATION SYSTEM‬‬ ‫اﻃﻼﻋﺎت اﻳﺠﺎد ﻣﻲﺷﻮد. ﺑﻨﺎﺑﺮ اﻳﻦ ﺳﻴﺴﺘﻢ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ ﻋﻼوه ﺑﺮ ذﺧﻴﺮه و‬ ‫‪Traffic‬‬ ‫‪Emission‬‬ ‫‪Dispersion‬‬ ‫ﺳﺎزﻣﺎﻧﺪﻫﻲ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ ﺑﻪ ﺷﻜﻞ رﻗﻮﻣﻲ و اﻣﻜﺎﻧﺎت ﺑﺎزﻳﺎﺑﻲ ﺳﺮﻳﻊ و ﺑﻪ‬ ‫‪Model‬‬ ‫‪Model‬‬ ‫‪Model‬‬ ‫ﻫﻨﮕﺎم ﺳﺎزي اﻃﻼﻋﺎت، اﺑﺰار و ﻗﺎﺑﻠﻴﺘﻬﺎي ﻻزم را ﺑﺮاي اﻧﻮاع ﭘﺮدازشﻫﺎ،‬ ‫ﺗﺤﻠﻴﻞﻫﺎي ﻓﻀﺎﻳﻲ، ﺗﻠﻔﻴﻖ و ﻣﺪلﺳﺎزي اﻃﻼﻋﺎت ﺟﻐﺮاﻓﻴﺎﻳﻲ ﻓﺮاﻫﻢ ﻣﻲﺳﺎزد.‬ ‫‪GIS‬‬ ‫‪Traffic Flows‬‬ ‫‪Concentrations‬‬ ‫‪Emissions‬‬ ‫‪Mapping‬‬ ‫‪Mapping‬‬ ‫‪Mapping‬‬ ‫‪Traffic Routes Data Layer‬‬ ‫‪Topography‬‬ ‫٨‬
  • 9. Urban Blocks Land Use GIS Model 1 – Example 2 CO – Cell Modeling CO (LDV) – Buffer Modeling ٩
  • 10. ‫ﻧﺘﺎﻳﺞ‬ CO – Ordinary Kriging Model Analysing Ali ‫ﺗﺤﻠﻴﻞ‬ ‫ﺗ ﻠﻞ‬ Verifying ‫ﺑﺮرﺳﻲ‬ ‫از ﺗﻮﺟﻪ ﺷﻤﺎ ﻣﺘﺸﻜﺮم‬ ‫ﭘﻴﺸﻨﻬﺎدﻫﺎﻳﻲ ﺑﺮاي آﻳﻨﺪه‬ Integration between computational methods, experiments and numerical methods in environmental modeling especially air pollution modeling, is an area in its infancy. ١٠