removal processes in silam (and in...
TRANSCRIPT
Removal processes in SILAM
(and in CTMs)
Rostislav Kouznetsov
Outline:
I Removal mechanisms
I Species properties
I Dry deposition
I Wet deposition
Removal mechanisms
Stuff can get out of dispersion map:
I by decay and/or transformations
I through boundaries
I dry deposition
I wet deposition
Species properties
Gases:
I Diffusivity
I Solubility (care needed)
I Reactivity (much care needed)
Particles:
I Size (very approximate measure)
I Density
I Hygroscopicity, stickiness, etc.
These properties are not exactly those controlling removal.
Statements like “Gas has solubility X” or “particel of size Y” can bemisleading. . .
Particle properties
“Particle of size X” in papers means (usually): “the particle has the sameproperty Y as would spherical particle of diameter X and density Z”.
Currently in SILAM particles are considered spherical with specifiedmaterial/density and material-dependent humidity growth.
Basic properties controlling removal:
I Inertial relaxation time τp or settling velocity vs = τpg
I Physical size dp
I Diffusivity D or Schmidt number Sc = D/ν
Removal schemes are expressed in these terms. . .
Example: particle size
Dry deposition
Problem:Given concentration at some height above ground find the
steady-state flux.
Deposition velocity:vd (z1) = J/C (z1)
Approaches:
I Fixed or size-dependent deposition velocity (particles)
I Landuse-dependent deposition velocity (gases)
I Resistance analogy(aerodynamic + quasi-laminar sub-layers etc. . . )
I Something more fancy. . .
Deposition pathway
I Turbulent (aerodynamic) layer
I Laminar layer
I Surface
For gases resistance analogy applies to layers:
J(z) = −K (z)∂C
∂z
results in:
Jij =C (zi )− C (zj )
r, r =
∫ zj
zi
dz
K (z)
r is the resistance of the layer.
“Exponential” scheme
For particles Resistance analogy does not apply.
Steady-state particle flux equation below z1:
J(z) = −K (z)∂C
∂z+ v(z)C = const (1)
if v(z) = vs = const and C (0) = 0:
J(z1) =C (z1)
1− exp(−vsr)vs , r =
∫ z1
0
dz
K (z)
r is the resistance of the layer below z1.
Eq. (1) can be also solved if v(z) 6= const and for C (0) 6= 0.
Dry deposition scheme in SILAMI Uniform for particles and gases (surface resistances needed)I Separate treatment of smooth and rough surfacesI Smooth surfaces: no tuning parametersI Rough surfaces – z0 and “collection scale”
J1
C2
ZobsZobs
Z2
Z1
0
C1Smooth
V1V1
Rough
Vint Vdif Vs VimpVa
Za
Smooth&water
Explicit solution of the steady-flux equation with turbophoresis term
10−5
10−4
10−3
10−2
10−1
100
10−8
10−7
10−6
10−5
10−4
vd+
Particle diameter, m
u*=0.14 m/s
10−5
10−4
10−3
10−2
10−1
100
10−8
10−7
10−6
10−5
10−4
Particle diameter, m
u*=0.4 m/s
10−5
10−4
10−3
10−2
10−1
100
10−8
10−7
10−6
10−5
10−4
Particle diameter, m
u*=1 m/s
This study, z = 30 cm
Z01, inland water
S80
Sippola & Nazaroff (2004),
smooth floor
Sehmel & Sutter (1974),
water surface
Möller & Schumann (1970),
water surface
Caffrey et al (1998),
natural lake
vd = 5⋅10−4
m/s
I Deposition gap
I Small particles – diffusion (Sc)
I Large particles – settling (vs = τpg)
I Turbophoresis vtf ∼ τpu3∗/ν
I Limit by diffusion in aerodynamic layer
Aerodynamic resistance
Rough surfaces
Simple thoughts:
I Air moves in a canopy consisting of collectors
I Same collectors absorb momentum and matter
I Momentum flux is (more or less) well studied
I Ratio of corresponding cross-sections gives ratio of depositionvelocities
Flow-collector interaction:
I Rec = Udc/ν
I Relevant velocity scale isUtop ' 3u∗
Particle-collector interaction:
I Diffusion Sc = ν/D
I Interception dp/dc
I Impaction St =2τpUtop
dc
Illustration: grass and gravel
10-4
10-3
10-2
10-1
10-8
10-7
10-6
10-5
10-4
vd+
Particle diameter, m
u*=0.35 m/s
10-4
10-3
10-2
10-1
10-8
10-7
10-6
10-5
10-4
Particle diameter, m
u*=0.7 m/s
10-4
10-3
10-2
10-1
10-8
10-7
10-6
10-5
10-4
Particle diameter, m
u*=1.4 m/s
This study, smooth
Z01, grass
S80
This study, a=2mm
Same, no impaction
Grass
Sticky grass
10-4
10-3
10-2
10-1
10-8
10-7
10-6
10-5
10-4
vd+
Particle diameter, m
u*=0.22 m/s
10-4
10-3
10-2
10-1
10-8
10-7
10-6
10-5
10-4
Particle diameter, m
u*=1.33 m/s
10-4
10-3
10-2
10-1
10-8
10-7
10-6
10-5
10-4
Particle diameter, m
u*=1.88 m/s
This study, smooth
Z01, desert
S80
This study, a=0.5mm
Same, no impaction
Sehmel et al (1973),
gravel
Smooth to rough: Snow
10-4
10-3
10-2
10-1
10-8
10-7
10-6
10-5
10-4
vd+
Particle diameter, m
u*=0.16 m/s
10-4
10-3
10-2
10-1
10-8
10-7
10-6
10-5
10-4
Particle diameter, m
u*=0.37 m/s
10-4
10-3
10-2
10-1
10-8
10-7
10-6
10-5
10-4
Particle diameter, m
u*=0.63 m/s
This study, smooth
Z01, snow
S80
This study, a=0.5mm
Same, no impaction
Sippola & Nazaroff (2003),
insulated floor
Smooth or rough is decided from roughness Reynolds number. Transitionoccurs:
2 < u∗z0/ν < 4
Deposition of gases
As it is seen to gurus:
Weseley (1970)
As it is now:
I Above surface – as particles
I Surface resistances for eachspecies for water and ground
I Water resistance for wetsurfaces
Dry deposition Summary
I General features:I Deposition gapI Small particles – diffusion (vdiff ∼ Sc−2/3 ∼ d−1
p )I Large particles – settling (vs = τpg ∼ d2
p )I Limit by diffusion in aerodynamic layerI Turbophoresis vtf ∼ τpu
3∗/ν (for smooth)
I Interception vint ∼ u∗(dp/dc)2 (for rough)I Impaction vimp ∼ u∗f (St) (for rough)
I Open issues in SILAM:I Land uses (sea/land currently)I Surface resistances (wet/dry) currentlyI Collection scales for high vegetation
Wet deposition
Seinfeld
&Pandis
(2006)
Wet deposition
I In-cloudI Get into a droplet (ice crystal)I Fall out
I Sub-cloudI SnowI Rain
I Simple chemistry (dissociation)
Wet deposition in SILAM
Operational SILAM:
I Precipitation rate from meteo
I Prescribed cloud height
I Prescribed scavengingcoefficients (in- below- cloud,rain or snow)
I Species-dependent scaling
I Saturation of SO2
In development:I Meteo input:
I Precipitation ratesI Cloud water contentI Cloud fraction
I Equilibrium in clouds
I Fraction of cloud precipitating
I Solubilities
I Simple dissociation chemistry(SO2)
Sub-cloud scavenging efficiency
I Diffusion D
I Interception dp
I Impaction τp
Accumulation around 1 µm
Seinfeld
&Pandis
(2006)
Sub-cloud scavenging rate
Seinfeld
&Pandis
(2006)
Sub-cloud scavenging for gases
Relaxation between in-drop and in-air concentration, but
I high solubility – scavenging works
I low solubility – do not scavenge much
Effect of resolution
Example:
I heavy rain in half of grid cell
I rain scavenges 99% per time step
I little wind
Question:
I How much stuff will be left in air after two time steps?
Answer:
I Do not know. . .
The rain/snow structure is accounted in scavenging coefficients. . .
Effect of scavenging rate
Does not affect much:
I long-term wet deposition much
I Does affect short-term deposition patterns
Does affect:
I Short-term deposition patterns
I In-water concentrations
Gas solubility
I Henry factor – mole/(l Pa) says how much of dissolved SO2 is inequilibrium with 1 Pa of partial pressure
I Temperature-dependent
I Henry factor does not say “how much stuff can get into droplet atgiven in-air concentration”
I Reason: dissociation
I Effective Henry helps helps sometimes
For SO2 situation even worse. . .
Gas solubility (cont.)
The effective Henry factor for SO2 depends on pH, in particular on theamount of dissolved SO2
[S(IV)] = [SO2]
(1 +
KS1
[H+]
)Result: Solubility concept does not apply.
Operational SILAM: Saturation of SO2 in rain water.
New scheme – approximate electro-neutrality:
[H+] ' [Strong Acids] + [HSO−3 ]− [NH+
4 ], [HSO−3 ] ' [S(IV)].
Luckily, many species can be treated with “effective Henry constant”.
SO2: how NOT to
1 1.2 1.4 1.6 1.8 20
0.2
0.4
0.6
0.8
1
1 mm500 mm
1000 mm2000 mm5000 mm
c(G)/cc,0(G)
Altit
ude,H
(km
)Precipitation
Sulfur-dioxide (SO2)
(c) Respected authors in respected journal (IF=3.7), 2011
Summary
Dry deposition
I Not simply size
I Deposition gap (∼1µm)
I Surface resistance needed forgases: landuse andspecies-dependence
Wet depositoin
I Incloud and subcloud
I Deposition gap for subcloud
I Dissociation is important
I Subgrid effects have to betreated