T. Elperin, A. Fominykh and B. Krasovitov Department of Mechanical Engineering The Pearlstone Center for Aeronautical Engineering Studies Ben-Gurion University of the Negev P.O.B. 653, Beer Sheva 84105, ISRAEL Motivation and goals Fundamentals Description of the model Results and discussion Conclusions Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev Atmospheric polluted gases (SO2, CO2, CO, NOx, NH3): Scavenging of air pollutions by cloud and rain droplets • In-cloud scavenging of polluted gases • Scavenging of air pollutions by rain droplets Single Droplet Air Soluble gas Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Henry’s Law: is the species in dissolved state Ben-Gurion University of the Negev Gaseous pollutants in atmosphere Scavenging of air pollutions SO2 and NH3 – anthropogenic emission CO2 – competition between photosynthesis, respiration and thermally driven buoyant mixing Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Fig. 1a. Aircraft observation of vertical profiles of CO2 concentration (by Perez-Landa et al., 2007) Ben-Gurion University of the Negev Gaseous pollutants in atmosphere Scavenging of air pollutions SO2 and NH3 – anthropogenic emission CO2 – competition between photosynthesis, respiration and thermally driven buoyant mixing Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Fig. 1b. Vertical distribution of SO2. Solid lines - results of calculations with (1) and without (2) wet chemical reaction (Gravenhorst et al. 1978); experimental values (dashed lines) – (a) Georgii & Jost (1964); (b) Jost (1974); (c) Gravenhorst (1975); Georgii (1970); Gravenhorst (1975); (f) Jaeschke et al., (1976) Ben-Gurion University of the Negev Vertical temperature profile in the lowest few kilometers of the atmosphere Scavenging of air pollutions Adiabatic decrease of atmospheric temperature with height Inversion of vertical temperature gradient as a result of solar radiation heating and ground cooling Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Fig. 1c. Aircraft observation of potential temperature vs. height (by Perez-Landa et al., 2007) Ben-Gurion University of the Negev Gas absorption by falling droplets: • Walcek and Pruppacher, 1984 • Alexandrova et al., 2004 • Elperin and Fominykh, 2005 Measurements of vertical distribution of trace gases in the atmosphere: • SO2 – Gravenhorst et al., 1978 • NH3 – Georgii & Müller, 1974 • CO2 – Denning et al., 1995; Perez-Landa et al., 2007 Scavenging of gaseous pollutants by falling rain droplets in inhomogeneous atmosphere: • Elperin, Fominykh & Krasovitov 2008 – non-uniform concentration distribution in a gaseous phase • Elperin, Fominykh & Krasovitov 2009 – non-uniform temperature and concentration distribution in the atmosphere Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev In the analysis we used the following assumptions: dc << R; dT << R Tangential molecular mass transfer rate along the surface is small compared with a molecular mass transfer rate in the normal direction The bulk of a droplet, beyond the diffusion and temperature boundary layers, is completely mixed by circulations inside a 0.1 mm R 0.5 mm droplet 300 shape. The droplet 10 has aRe spherical 0.7 U 4.5 m/s Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Fig. 2. Schematic view of a falling droplet and temperature and concentration profiles Ben-Gurion University of the Negev System of convective diffusion and energy conservation transient equations for the liquid and gaseous phases read: sin xi 2 y cos xi xi 2 xi U k , Di 2 t R R y y sin Ti 2 y cos Ti Ti 2Ti U k ai 2 t R y y R (1) (i = 1, 2) Fluid velocity components at the gas-liquid interface are (Prippacher & Klett, 1997): v kU sin 2kU vr y cos R (2) where k = 0.009 0.044 for different Re, and y R. Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev Initial and boundary conditions Using the transformation z = U t the coordinate-dependent boundary conditions can be transformed into the time-dependent boundary conditions: x2 xb 2 (t ) at y (3) T2 Tb2 (t ) at y x1 xb1 (t ) at y (4) T1 Tb1(t ) at y (8) x1 m x2 at y0 (5) T1 T2 at y0 (9) N D1 N D 2 at y0 (6) NT 1 NT 2 at y0 (10) where N Di Di Ci (7) T xi , NTi i i , m H A RgTC2 C1 , y r R y y Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev Introduction of the self-similar variables: Ti y , dTi t , Di y d Di t , and application of Duhamel's theorem yields a solution of convection diffusion and energy conservation equations (Eqs. 1): i (Y , , ) i 1 a b,2 ( ) b,1 ( ) Y i 1 T d b,i ( ) 1 erfc ( , ) 1 T a T,i 0 (11) X i (Y , , ) Y i 1 D D X b1 ( ) m s X b 2 ( ) d erfc X b,i ( ) 1 1 m s D D D,i ( , ) 0 1 f ( , ) 1 1 f ( , ) 3 1 3 where 2i cos( ) cos ( ) , 4 3 1 f ( , ) 3 1 f ( , ) Pei sin ( ) f ( , ) tg 2 exp(2 ) and tUk / R, i Ti / T10 , X1(t ) x1(t ) / m0 T20 x20 , 2 X 2 (t ) x2 (t ) / x20 4 Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev Integral energy and material balances over the droplet yields: db1 3 1 sin d , d 2 PeT 1 Y Y 0 0 d X b1 3 X 1 sin d d 2 PeD1 Y Y 0 Substituting solutions (11) into Eqs. (12) yields: b1 (t ) 1 3 PeT1 (1 T a ) 0 b2 ( ) b1( ) 0 0 sin d d T1 ( , ) where xb10 xb 20 (13) X b1 ( ) m( s ( )) X b 2 ( ) sin d d x 3 X b1 ( ) b10 ( , ) m0 xb 20 PeD 1 1 m( s ( )) D 0 D1 0 (12) (14) initial value of molar fraction of absorbate in a droplet value of molar fraction of an absorbate in a gas phase at height H Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev The system of equations for temperature and absorbate concentration in the bulk of a droplet: X b1 ( ) m( s ( )) X b 2 ( ) sin d d xb10 3 X b1 ( ) ( , ) m0 xb 20 PeD 1 1 m( s ( )) D 0 D1 0 3 sin d d ( t ) 1 ( ) ( ) b1 b2 b1 PeT1 (1 T a ) ( , ) 0 0 T1 is a system of linear convolution Volterra integral equations of the second kind that can be written in the following form: f f K , d g , 0, t (15) 0 Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev The method of solution is based on the approximate calculation of a definite integral using some quadrature formula: b N F d a i F i RN [ F ], i a,b, i 1, 2, ..., N , (16) i 1 where RN F – remainder of the series after the N-th term. T T0 The uniform mesh with an increment h was used: Ti T0 ih, h N N Using trapezoidal integration rule we obtain a system of linear algebraic equations: f (0) g (0), i 1 1 1 (1 h K ii ) fi h ( K i 0 f 0 K i j f j ) gi , i 1,, N 2 2 j 1 (17) The kernel K , is a matrix M M and equation (17) is viewed as a vector equation. Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev Fig. 3. Dependence of CO2 concentration in the atmosphere vs. altitude (1) aircraft measurements Valencia 6:23 (by Perez-Landa et al., 2007); (2)-(4) approximation of the measured data; (3) aircraft measurements Valencia 13:03 (by Perez-Landa et al., 2007). Fig. 4. Dependence of the potential, atmospheric and droplet surface temperature vs. altitude in the morning. Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev Fig. 3. Dependence of CO2 concentration in the atmosphere vs. altitude (1) aircraft measurements Valencia 6:23 (by Perez-Landa et al., 2007); (2)-(4) approximation of the measured data; (3) aircraft measurements Valencia 13:03 (by Perez-Landa et al., 2007). Fig. 5. Dependence of the potential, atmospheric and droplet surface temperature vs. altitude in the afternoon Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev Fig. 3. Dependence of CO2 concentration in the atmosphere vs. altitude (1) aircraft measurements Valencia 6:23 (by Perez-Landa et al., 2007); (2)-(4) approximation of the measured data; (3) aircraft measurements Valencia 13:03 (by Perez-Landa et al., 2007). Fig. 6. Dependence of the concentration of the dissolved CO2 gas in the bulk of a falling rain droplet vs. time, xb10 = 0. Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev Fig. 8. Dependence of the relative concentration of ammonia (NH3) inside a water droplet vs. time. Fig. 7. Dependence of the interfacial temperature of a falling rain droplet vs. altitude. Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev Fig. 9. Evolution of ammonia (NH3) distribution in the atmosphere due to scavenging by rain Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev The suggested model of gas absorption by a falling liquid droplet in the presence of inert admixtures takes into account a number of effects that were neglected in the previous studies, such as the effect of dissolved gas accumulation inside a droplet and effect of the absorbate and temperature inhomogenity in a gaseous phase on the rate of heat and mass transfer. It is shown than if concentration of a trace gas in the atmosphere is homogeneous and temperature in the atmosphere decreases with height, beginning from some altitude gas absorption is replaced by gas desorption. We found that the neglecting temperature inhomogenity in the atmosphere described by adiabatic lapse rate leads to overestimation of trace gas concentration in a droplet at the ground on tens of percents. If concentration of soluble trace gas is homogeneous and temperature increases with height e.g. during the nocturnal inversion, droplet absorbs gas during all the time of its fall. Summer Heat Transfer Conference San Francisco, CA, July 19-23, 2009 Ben-Gurion University of the Negev
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