Modeling the Dynamics and the Dynamics and Modeling Kinetics of - - PowerPoint PPT Presentation

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Modeling the Dynamics and the Dynamics and Modeling Kinetics of - - PowerPoint PPT Presentation

Modeling the Dynamics and the Dynamics and Modeling Kinetics of Gaseous Pollutants and Kinetics of Gaseous Pollutants and Aerosols in the Atmosphere: : Aerosols in the Atmosphere Estimation of the Environmental Estimation of the


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Modeling Modeling the Dynamics and the Dynamics and Kinetics of Gaseous Pollutants and Kinetics of Gaseous Pollutants and Aerosols in the Atmosphere Aerosols in the Atmosphere: : Estimation of the Environmental Estimation of the Environmental Impact of Forest Fires Impact of Forest Fires

A.E. Aloyan,

, V.O. Arutyunyan V.O. Arutyunyan, A. N. Yermakov , A. N. Yermakov INM RAS INM RAS, , Moscow Moscow

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Computational Grid Size: (60 x 60 x 30 x 100 x 30) = 3.24 x 108

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Model Structure

  • Atmospheric Thermohydrodynamics

(nonhydrostatic, mesoscale, terrain-following, cloud microphysics, turbulence, heat- and mass-exchange in soil and water)

  • Pollutant Diffusion and Transport

(gas- and aqueous phase chemistry, anthropogenic and biogenic emissions, aerosol processing, ion composition of clouds and aerosols, mass-exchange between gas and liquid)

  • Homogeneous Nucleation (New-Particle Formation)

(Binary [H2O-H2SO4] and ternary [H2O-H2SO4-NH3])

  • Condensation/Evaporation
  • Coagulation
  • Optimization and Risk Assessment
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Aerosol Formation (Gas-to-Particle Conversion)

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General Equation for Gas-Aerosol Dynamics

Ci (i = 1, …, N) and ϕk (k = 1, …, M) are the concentrations of gaseous species and aerosols, respectively; N and M are the numbers of gaseous components and aerosol fractions, respectively. The system of equations for the pollution transport and transformation (Aloyan, 2000; Aloyan et al., 2002)

) 3 , 1 ( , = ∂ ∂ ∂ ∂ + + + − − = ∂ ∂ + ∂ ∂ j x C K x P P P P F x C u t C

j i jj j aqu i phot i cond i nucl i gas i j i j i

) 3 , 1 ( , ) (

3

= ∂ ∂ ∂ ∂ + + + + = ∂ ∂ − + ∂ ∂ j x K x P P P F x w u t

j i jj j coag k cond k nucl k aer k j k g j j k

ϕ ϕ δ ϕ

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Regional Model

Equations of Atmospheric Hydrodynamics

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Pollution Transport

) ( B K y K y x K x u div F t

y x i

ϕ σ ϕ σ ϕ ϕ ϕ ϕ

σ

+ ∂ ∂ ∂ ∂ + ∂ ∂ ∂ ∂ + ∂ ∂ ∂ ∂ + − = ∂ ∂

[ ]

( )

[ ] [ ] [ ]

{ }

H Y Y y X X x y x D T D Dt , , , , , : , , , , ∈ − ∈ − ∈ = × = σ σ

( )

surf c b a z

r r r z K ϕ ϕ ∂ ∂ϕ − + + = 1

. for , for H z t

b i i i i

= = = = ϕ ϕ ϕ ϕ

. if , if

n n

≥ = ∂ ∂ < =

Γ Γ

u n u

b i i b i i

ϕ ϕ ϕ ϕ

Pollution flux in the surface layer Boundary conditions Solution domain Governing equation

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Photochemistry

The chemical mechanism used in this work is an improved version of that described in Aloyan et al. (1987) and Aloyan et al. (1995). Additional species and chemical reactions were included into the mechanism from the Carbon- Bond Mechanism (CBM-IV) (Gery et al., 1989). The reaction rate constants were taken also from (Anderson 1976; Atkinson and Lloyd, 1984). This approach allows us to describe the intermediate species in more detail, while the computational burden increases only slightly. In total, the resulting hybrid model includes a total of 44 chemical species and 204 chemical reactions. The total list of chemical species is as follows:

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Condensation and Coagulation

∫ ∫

∞ −

− + = ∂ ∂ + ∂ ∂

1 1 1 1

1 1 1

) , ( ~ ) , ( ~ 2 1 ) , ( dg g g K dg g g K t g J v g t

g g g g g g g

ϕ ϕ ϕ ϕ ϕ ϕ

              −       − + = 1 exp 1 8 / 3 1 ( 4

3 / 1 3 / 1 * 1 3 / 1 3 / 2 2

g g kT l dg g nv d v

T g

λθ απ

The kinetic equation for the change of aerosol particle-mass distribution (Aloyan et al., 1993; Aloyan et al., 1997) where g is the particle mass, J is the nucleation rate, K is the coagulation kernel, vg is the rate of condensation.

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Coagulation Model

= ∂ ∂ t t g C ) , , ( α

− − − − −

∫∫

β β β α β β α

α

dsd ) , s ( C ) , s g ( C ) , s ; , s g ( K 2 1

g 0 0

∫∫

∞ ∞

0 0

dsd ) , s ( C ) , s ; , g ( K ) t , , g ( C β β β α α

) , , ( ] ) , ( , ; ) , ( , [ ) , , , ( t s g k t s s t g g K s g K ≡ ≅ β α β α

where g is the total mass of particles, α is the mass of pollutant, K is the coagulation coefficient, C(g, α, t) is the total concentration of particles. The coagulation equation has the form [Golubev and Piskunov, 1999; Aloyan and Piskunov, 2005]

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=

g

d t g C t g n ) , , ( ) , ( α α

=

g

d t g C t g m ) , , ( ) , ( α α α

C(g, α, t) = c(g, t) δ( g – α) + cc(g, α, t)

= ∂ ∂ t t g n ) , (

− − −

g

ds s n s g n s s g K ) ( ) ( ) , ( 2 1

) ( ) , ( ) ( ds s n s g K g n = ∂ ∂ t t g m ) , (

− − −

g

ds s m s g n s s g K ) ( ) ( ) , ( 2 1

) ( ) , ( ) ( ds s n s g K g m

= ∂ ∂ t t g c ) , (

− − −

g

ds s m s g n s s g K ) ( ) ( ) , ( 2 1

) ( ) , ( ) ( ds s n s g K g c

Main integral characteristics of the particle-size distribution

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Condensation Model

α − = g g

p 0

) , ( ) , ( ) , ( t g n t g m t g

c c

= α

) ( ) , ( ) , , ( α δ α − − =

po c c

g g t g n t g c

) , ( ) ( ) , ( t g n g g t g m

c po c

− =

( )

[ ]

) ( ) , (

* t

g g t g J c v g t c

g

− = ∂ ∂ + ∂ ∂ δ

( )

= ∂ ∂ + ∂ ∂

c g c

n v g t n

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Binary Nucleation (H2SO4-H2O)

Скорость нуклеации J зависит от трех основных переменных: массовой концентрации кислоты в паровой фазе (С), относительной влажности воздуха (Rh) и температуры (T). Пусть в атмосфере в пересыщенном паре при температуре T и давлении Pv имеется бинарный кластер, состоящий из nw молекулы вещества w и na молекул для a с мольными фракциями xiv (i = w,a). Свободная энергия для образования жидкого зародыша в бинарной смеси имеет вид

σ µ µ A n n G W

a a w w

+ ∆ + ∆ = ∆ =

где ∆G – изменения свободной энергии Гиббса, A – площадь поверхности, σ – поверхностное натяжение, ∆µi = µil(T,Pv,xil) – µiv(T,Pi,xiv), где µil и µiv – химические потенциалы в жидкой и паровой фазах, соответственно.

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радиус критического кластера определяется из уравнения Кельвина

        = ) ( ln ) ( ) ( 2

* , * * *

x kT x x r

free s i free i i

ρ ρ ν σ

работа для формирования критической нуклеации будет

) ( 3 4

* 2 * *

x r w σ π =

общее выражение для скорости нуклеации имеет вид

      − − = kT w w z J ) 2 , 1 ( exp ) 2 , 1 (

*

ρ

где ρ(1,2), w(1,2) – численная концентрация и энергия образования дигидрата серной кислоты, соответственно, а z – кинетический коэффициент Зельдовича

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Ternary Nucleation (H2SO4 – H2O – NH3)

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Gas- and Aqueous-Phase Chemistry Model

[ ] [ ] [ ]

L T k k k C k C w w dt C d

b i H i i aq i i g i g loss i g gen i g

        − − − =

, ,

[ ] [ ] [ ]

A b i H i i aq i i g i aq loss i aq gen i aq

N T k k k C k C w w dt C d 1

, ,

        − − − =

1 2

3 4 3

        + =

i i g i

c r D r k α

is the coefficient of mass-exchange processes kb is the Bolzmann constant, Dg is the diffusion coefficient, αi is the accomodation coefficient, ci is the mean thermal velocity.

              − ∆ − = 298 1 1 exp

298 ) 298 ( ) (

T R H K K

r i H i T H

  • is Henry’s constant,
  • 298

H

r

Is the thermal effect of gas component dissolution at Т = 298 К

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Aqueous-phase chemistry:

  • One-way aqueous-phase chemical reactions:

35

  • Aqueous-phase photochemical processes:

6

  • Reversible chemical reactions (equilibrium):

21 Sulfite oxidation mechanism:

  • HSO3
  • (aq) + H2O2 + H+

(aq) → SO4 2- + H2O + 2H+,

(1)

  • SO2 + O3(aq) → HSO3
  • (aq) + O2(aq) + H+

(aq),

(2)

  • SO3

2- + O3(aq) → SO4 2- + O2(aq),

(3)

  • HSO3
  • (aq) + O3(aq) → HSO4
  • (aq) + SO3
  • (aq).

(4)

These pathways differ essentially in that the final products of the sulfite

  • xidation – sulfate ions – are generated directly in reaction (1).
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HO2, H2O2, O2, OH-, HSO3

  • ,

H+, SO4

2-, O2

  • , SO3

2-, SO3

  • ,

HSO5

  • , N2O5, NO3
  • , NO3, O3,

SO2, HO2

  • , HSO4
  • , SO5
  • , SO4,

SO5

2-,

S2O8

2-,

NO2, NO, Fe(OH)2+, Fe(OH)2

+, Fe2+,

Fe3+, FeOHSO3H+, FeSO4

+,

NO2

  • , HNO2, CO2, H2CO3,

HCO3

  • , H2SO4
  • .

Ion Composition of Aerosol Particles

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Ternary Nucleation (H2SO4 – H2O – NH3)

1,00E+00 1,00E+03 1,00E+06 1,00E+09 50 70 90

Rh (%)

J, 1/(cm3.s) T=288K, H2SO4=E8 cm-3 T=254K, H2SO4=E8 cm-3 T=288K, H2SO4=E9 cm-3 T=254K, H2SO4=E9 cm-3

Binary Nucleation (H2SO4 – H2O)

1,00E-10 1,00E-08 1,00E-06 1,00E-04 1,00E-02 1,00E+00 1,00E+02 1,00E+04 1,00E+06 1,00E+08 50 70 90 Rh (%) J, 1/(cm3 s) T=288K, H2SO4=E8 cm-3 T=254K, H2SO4=E8 cm-3 T=288K, H2SO4=E9 cm-3 T=254K, H2SO4=E9 cm-3

Nucleation Rate

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Radius of Critical Cluster

Ternary Nucleation (H2SO4 – H2O – NH3) Binary Nucleation (H2SO4 – H2O)

0,1 0,2 0,3 0,4 0,5 50 70 90 Rh (%) r_cr (nm) T=288K, H2SO4=E8 cm-3 T=254K, H2SO4=E8 cm-3 T=288K, H2SO4=E9 cm-3 T=254K, H2SO4=E9 cm-3 0,2 0,4 0,6 0,8 1 1,2 50 70 90

Rh (%)

r_cr (nm) T=288K, H2SO4=E8 cm-3 T=254K, H2SO4=E8 cm-3 T=288K, H2SO4=E9 cm-3 T=254K, H2SO4=E9 cm-3

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1,0E+00 1,0E+01 1,0E+02 1,0E+03 1,0E+04 1,0E+05 1,0E+06 1,0E+07 1,0E+08 1,0E+09 J, cm-3 s-1 20:25 20:45 21:05 21:25 21:45 22:05 22.03.2004 Binary Nucleation Ternary Nucleation 0,2 0,4 0,6 0,8 R_cr, nm 20:25 20:45 21:05 21:25 21:45 22:05 22.03.2004 Binary Nucleation Ternary Nucleation

Nucleation Rate Critical Radius Baikal Area

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FI ELD OBSERVATI ON DATA 2002-04 FI ELD OBSERVATI ON DATA 2002-04

11.03.03 26.05.03 04.08.03 17.10.03 22.12.03 5 10 15 20 5 10 15 20 2 4

mSO4 mSO4 mSO4 mΣ mΣ

Иркутск мкг/м

3

Время

Листвянка мкг/м

3

Монды мкг/м

3

Spring Spring-

  • summer spike

summer spike

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PARTI CLE ACI DI TY PARTI CLE ACI DI TY

3x10

  • 7

2x10

  • 7

1x10

  • 7

0.5x10

  • 7

1.5x10

  • 7

10

  • 7

[H

+], моль/м 3

[H2SO4], мкг/м3

(H

+)Σ, моль/м 3

Монды Иркутск Листвянка

(H2SO4), моль/м

3

2 4 6 8 10 12 14

1E-10 1E-9 1E-8 1E-7

[H2SO4]/(H+) ≈ 2 H2SO4(gas) → H2SO4(aq) H2SO4(aq) → 2Haq

+ + SO4(aq) 2-

[H2SO4]/(H+) ≈ 2 H2SO4(gas) → H2SO4(aq) H2SO4(aq) → 2H 2Haq

aq+ + + SO

+ SO4(aq)

4(aq)2 2-

  • (H+)Σ = (H+)изм + (H+)CO3 + (H+)NH4

(H+) = 10-pHизмV/103Vgas

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I RKUTSK 2003-04 I RKUTSK 2003-04

1 2 3 4 0,0 0,5 1,0 1,5

2 3 1

[HCO3

  • ], мкг/м

3

[NH4

+], мкг/м 3

No Ammonia No Ammonia: CaCO CaCO3

3 + H

+ H2

2SO

SO4

4 →

→ CaSO CaSO4

4 + H

+ H2

2O + CO

O + CO2

2↑

↑, ,

Mechanism Mechanism: : CaCO CaCO3(s)

3(s) ⇔

⇔ Ca Ca2+

2+ +

+ CO CO3(aq)

3(aq) 2 2-

  • CO

CO3(aq)

3(aq) 2 2-

  • +

+ H Haq

aq + + ⇔

⇔ HCO HCO3(aq)

3(aq)

  • ;

; K K = 2 = 2× ×10 1010

10 l

l mole mole-

  • 1

1

HCO HCO3(aq)

3(aq)

  • +

+ H Haq

aq + + ⇔

⇔ H H2

2O + CO

O + CO2(aq)

2(aq)

CO CO2(aq)

2(aq) ⇔

⇔ CO CO2(gas)

2(gas)↑

With Atmospheric Ammonia:

NH3(g) ⇔ NH3(aq); H ≈ 60 mole l-1 atm-1 NH3(aq) + Haq

+ ⇔ NH4(aq) +; K = 2×109 l mole-1

With Atmospheric Ammonia With Atmospheric Ammonia:

NH NH3(g)

3(g) ⇔

⇔ NH NH3(aq)

3(aq);

; H H ≈ ≈ 60 mole 60 mole l l-

  • 1

1 atm

atm-

  • 1

1

NH NH3(aq)

3(aq) +

+ H Haq

aq + + ⇔

⇔ NH NH4(aq)

4(aq) + +;

; K K = 2 = 2× ×10 109

9 l

l mole mole-

  • 1

1

Кальциевые частицы Аммиачные частиц

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SLIDE 29

MONDY MONDY 2002 2002-

  • 04

04

0,0 0,2 0,4 0,6 0,8 1,0 0,0 0,2 0,4 0,6 0,8 1,0

0,0 0,1 0,2 0,0 0,5 1,0

2 1 [HCO3

  • ], мкг/м

3

[NH4

+], мкг/м 3

[NH4

+], мкг/м3

[NH3], мкг/м

3

(NH (NH4(aq)

4(aq) + +)/(NH

)/(NH3(g))

3(g)) =

= H Heff

effRT

RTL L H Heff

eff =

= H HNH3

NH3(1 +

(1 + K K[H [Haq

aq + +]

]) )

Experimental: Experimental: (NH4(aq)

+)/(NH3(g)) ≈ 10

[Haq

+]L = 4×10-12

Within Within AIM AIM ( (Clegg Clegg-

  • Wexler

Wexler) ): : L ≈ 7×10-12 и [Haq

+] ≈ 0.5 mole/l

Effect of Ammonia Effect of Ammonia

Кальциевые частицы Аммиачные частиц

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Comparison between calculated and measured concentrations of H+ after 7 days

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0,00 0,02 0,04 0,06 0,08 0,10 1 6 11 16 21 26 (6,8) (12,14) (13,18) 0,00 0,02 0,04 0,06 0,08 0,10 1 6 11 16 21 26

(6,8) (12,14) (13,18)

H+, t = 48 h H+, t = 72 h

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500 1000 1500 2000 2500

Concentration, cm-3

4 6.3 10 16 20 32

Particle diameter, nm

Irkutsk Measured Calculated

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500 1000 1500 2000

Concentration, cm-3

4 6.3 10 16 20 32

Particle diameter, nm

Shelekhovo Measured Calculated

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200 400 600 800 1000 1200

Concentration, cm-3

4 6.3 10 16 20 32

Particle diameter, nm

Bol'shoi Lug Measured Calculated

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200 400 600 800 1000

Concentration, cm- 3

4 6.3 10 16 20 32

Particle diameter, nm

Between BL and Sludyanka Measured Calculated

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200 400 600 800 1000

Concentration, cm-3

4 6.3 10 16 20 32

Particle diameter, nm

Sludyanka Measured Calculated

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200 400 600 800 1000

Concentration, cm-3

4 6.3 10 16 20 32

Particle diameter, nm

Baykal'sk Measured Calculated

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Concentration of H2SO4, z=6850 m, t=10 days

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Nucleation rate (cm-3 s-1)

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Critical radius (nm)

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Concentration of aerosol particles (r = 0.1 mcm, z = 7100 m, t = 5 days, January 1992) Concentration of aerosol particles (r = 0.01 mcm, z = 7100 m, t = 5 days, January 1992)

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Concentration of aerosol particles (r = 0.1 mcm, z = 7100 m, t = 5 days, June 1992) Concentration of aerosol particles (r = 0.01 mcm, z = 7100 m, t = 5 days, June 1992)

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Ozone variability in time 0,5 0,8 0,7 0,6 0,74 0,34 0,42 0,63 0,9 0,72 0,2 0,4 0,6 0,8 1 2 4 6 8 10 time, h [O3]/[O3]o I II

( I ) T = 278, [O3] = 1.5×1011, pH = 7, r = 10 µm, δ = 0.1 g⋅m–3 ( II ) T = 298, [O3] = 4.0×1011, pH = 6, r = 50 µm, δ = 0.2 g⋅m–3

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5,37 3,51 4,02 4,1 4,06 4,07 3,1 1 2 3 4 5 6

O3(-), (M)

1 2 3 4 5 6 7

Fe, Mn, (M)

Sensitivity of ozone concentrations to dissolved metals for different sets of metal concentrations shown in x-axis: (1) Fe = 10-7, Cu = 0; (2) Fe = 10-5, Cu = 10-5; (3) Fe = 10-5, Cu = 10-6; (4) Fe = 10-5, Cu = 10-7; (5) Fe = 10-6, Cu = 10­6; (6) Fe = 10­7, Cu = 10­6; (7) Fe = 10-4, Cu = 10­5.

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Adjoint Problem

σ ϕ σ ϕ ϕ ϕ ϕ

σ ∂

∂ ∂ ∂ + ∂ ∂ ∂ ∂ + ∂ ∂ ∂ ∂ + − = ∂ ∂ −

* * * * *

K y K y x K x u div P t

y x i

,

* *

= + + = z r r r z K

c b a z

ϕ ∂ ∂ϕ

. for , for

* *

H z T t = = = = ϕ ϕ

. if , if

n * n *

≥ = ∂ ∂ < =

Γ Γ

u n u ϕ ϕ

Boundary conditions

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Sensitivity function (winter)

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Sensitivity function (spring)

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Sensitivity function (summer)

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Sensitivity function (fall)

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Distribution of sensitivity function by selected regions and seasons of the year 10 20 30 40 50 60 70 80 % Winter Spring Summer Fall Northwest Northeast NE China Mongolia

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Percentage distribution of sensitivity function for July

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Hydrodynamic Model for Forest Fires

( )

3 , 2 , 1 j u x t x H dt dP g dt dT x g lw lu z P 1 dt dw x lu lw y p 1 dt dv x lw lv x p 1 dt du

j j j a j j 3 j j 2 j j 1

= = ∂ ∂ + ∂ ∂ ∂ ∂ = − ∂ ∂ + − − + ∂ ∂ − = ∂ ∂ + − + ∂ ∂ − = ∂ ∂ + − + ∂ ∂ − = ρ ρ ρ γ τ ρ τ ρ τ ρ

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1 1 1

' 1 ; ' ' ; div ) 3 , 1 ( ,

      + =       − = ′ − = − = ∂ ∂ = ⋅ + = ∂ ∂ =       + − + = = T T T T P P R g g R g R x H u T dt dT j x H dt d RT dt dT PR g dt dT dt dT R dt d RT dt dP RT P

a a j j j a

β β ρ ρ γ α γ γ α α α ρ ρ γ ρ ρ ρ r

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1,0E+00 1,0E+02 1,0E+04 1,0E+06 1,0E+08 1,0E+10 1,0E+12 0,1 0,5 0,8 1,2 1,5 1,8 2,1 2,5 2,8 3,1 3,5 3,8 4,1 4,4 4,8 particle radius, mcm concentration, m-3 Particle Concentration, z=50 m, t=12 h (Fire Zone), Combustion

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SLIDE 74

1,0E+00 1,0E+02 1,0E+04 1,0E+06 1,0E+08 1,0E+10 1,0E+12 0,1 0,5 0,8 1,2 1,5 1,8 2,1 2,5 2,8 3,1 3,5 3,8 4,1 4,4 4,8 particle radius, mcm concentration, m-3 Particle Concentration, z=50 m, t=18 h (Fire Zone), Smoldering

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SLIDE 75

Concentration of aerosol particles (r = 0.14 mcm, t = 12 h, z = 50 m)

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SLIDE 76

Concentration of aerosol particles (r = 3.28 mcm, t = 12 h, z = 50 m)

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SLIDE 77

Concentration of aerosol particles (r = 0.14 mcm, t = 12 h, z = 150 m)

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SLIDE 78

Concentration of aerosol particles (r =3.28 mcm, t = 12 h, z = 150 m)

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SLIDE 79

Concentration of aerosol particles (r = 0.14 mcm, t = 18 h, z = 50 m)

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SLIDE 80

Concentration of aerosol particles (r = 0.14 mcm, t = 18 h, z = 150 m)

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SLIDE 81

Conclusions

  • A new combined multicomponent model for gas-aerosol dynamics in the

Baikal region has been developed, which incorporates atmospheric thermo-hydrodynamics, gas- and aqueous-phase chemistry, nucleation, condensation, and coagulation

  • The model allows for numerical simulations of aerosol particle-size

distributions ranging from the molecular level up to 1-3 microns

  • The nucleation-mode particle formation in the Baikal area has been

found to be significant

  • The calculated and measured values of the integral content of the

aerosol ion composition are well consistent