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Russian Issue 3 - Harvard University Department of Physics

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"Radiation & Risk", 1993, issue 3<br />

chastic model which generates a random process<br />

that has specified statistical features. The<br />

statistical procedure for calculation <strong>of</strong> diffusion<br />

is based on use <strong>of</strong> an equation for random pulsations<br />

<strong>of</strong> the particle turbulent velocity and on<br />

plotting <strong>of</strong> tracks <strong>of</strong> thousands <strong>of</strong> individual particles.<br />

The particle motion in the wind velocity field<br />

is expressed by a sum <strong>of</strong> the average and turbulent<br />

components that are separated with application<br />

<strong>of</strong> the definite specific averaging time.<br />

The equation for the particle total velocity in the<br />

direction / On the system <strong>of</strong> coordinates related<br />

to the average wind direction at the given point)<br />

has the form:<br />

v,=vl+v;.<br />

As a mean wind field one can take results <strong>of</strong><br />

a dynamic model or the field built from network<br />

measurements. In the last case, the obtained<br />

field <strong>of</strong> mean wind is corrected with allowance<br />

for meeting the equations <strong>of</strong> continuity providing<br />

for conservation <strong>of</strong> the material mass. At time<br />

scales that exceed the averaging time ail turbulent<br />

diffusion is described by spatial and temporal<br />

variations in the average wind.<br />

At the time scales less than the time for averaging<br />

the diffusion is estimated on the basis <strong>of</strong><br />

assumption that the turbulent pulsations have<br />

two components - correlated and pure random.<br />

v;(t + At) = v;(t)P'L+p„<br />

where At - time step;<br />

pt(At) - Lagrangian auto-correlation coefficient<br />

for the Mh velocity component.<br />

34<br />

Scientific Articles<br />

The random component is generated is such<br />

a way that it has a Gaussion distribution <strong>of</strong><br />

probabilities with a zero average and standard<br />

deviation given by<br />

This condition provides for turbulence energy<br />

conservation from step to step. To calculate<br />

PL (At) an exponential dependence is <strong>of</strong>ten used<br />

p'L(At)=exp(-At/ rL).<br />

Movement <strong>of</strong> the particle at each moment <strong>of</strong><br />

time is determined by the velocity fluctuations<br />

that correspond to CT/ and pi!(At) values at the<br />

given point <strong>of</strong> space, i.e., the model allows including<br />

variation <strong>of</strong> these parameters into description<br />

<strong>of</strong> the diffusion.<br />

Thus, success <strong>of</strong> the statistical model application<br />

depends primarily on utilization <strong>of</strong> the<br />

most accurate experimental and theoretical estimates<br />

for pr<strong>of</strong>iles <strong>of</strong> the turbulence energy and<br />

velocity timescaies. The best <strong>of</strong> the up-to-date<br />

values <strong>of</strong> these variables [14] are used in the<br />

present model. Components <strong>of</strong> the turbulence<br />

energy and time scales in the unstable atmosphere<br />

boundary layer (ABL) are given by the<br />

following formula:<br />

'•r<br />

"Radiation & Risk", 1993, issue 3 Scientific Articles<br />

^ = [12 + 0,5h/ \l\X\<br />

^-<br />

w.<br />

= 0,96<br />

h<br />

-(1/3<br />

h<br />

for ~ < 0,03,<br />

h<br />

^- =/n/n 0 , 9 6 ^ - M ; 0,763<br />

r 7-\ 0 - 207<br />

= ° ' 7 2 T - i<br />

= 0,37<br />

7? = VL=0,15^-,<br />

for 0,4 < — < 0,96,<br />

h<br />

for 0,96

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