Hazardous situations in air pollution can many a times be avoided in c
ase short term local weather forecasting of the boundary layer meteoro
logy becomes available. Amongst the various remote sensing techniques,
it has been seen that acoustic remote sensing (SODAR) of the lower at
mosphere can be employed to determine and predict the atmospheric boun
dary layer meteorological parameters. In specific, information can be
obtained about thermal stratification, mixing height, low level distur
bances, depth of the planetary boundary layer, stability classificatio
n, wind velocity, wind variances, turbulence parameters, and diffusion
characteristics etc. when SODAR is used in conjunction with surface l
evel measurements of the usual meteorological parameters. In the paper
a brief description of the acoustic remote sensing technique and a re
view of the work done during the last two decades to determine the var
ious air quality related meteorological parameters has been given. The
methodology to determine mixing height, stability classification and
diffusion and dispersion characteristics using mostly the information
from the SODAR echograms has also been described. The SODAR echograms
obtained at Delhi for the period May 1977 to April 1982 have been proc
essed and analyzed using pattern recognition to determine these parame
ters. Doppler SODAR information of wind speed and direction have not b
een treated for the above purpose. Using the Gaussian dispersion model
, pollution concentration downwind of a emission source (in the presen
t case it is a cement factory at Nimbahera, Chittorgarh, India) has al
so been computed with the help of SODAR determined data. It has been f
ound that measured values with the help of high volume sampler conform
to the estimated pollution concentration. A peak in the value of the
estimated pollution concentration during the fumigation period has als
o been seen.