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Statistical characteristics of concentration fluctuations in dispersing plumes in the atmospheric surface layer
Authors:Eugene Yee  P R Kosteniuk  G M Chandler  C A Biltoft  J F Bowers
Institution:(1) Box 4000, T1A 8K6 Medicine Hat, Alberta, Canada;(2) Kosteniuk Consulting Ltd, 1301 Cumberland Ave. S., S7H 2L9 Saskatoon, Saskatchewan, Canada;(3) S & J Engineering, Inc., 3447 Kennedy Rd, Suite 6, M 1V 3S1 Scarborough, Ontario, Canada;(4) Meteorology Division, Material Test Directorate U.S. Army Dugway Proving Ground, 84022-5000 Dugway, Utah, USA
Abstract:Measurements have been made of concentration fluctuations in a dispersing plume from an elevated point source in the atmospheric surface layer using a recently developed fast-response photoionization detector. This detector, which has a frequency response (–6 dB point) of about 100 Hz, is shown to be capable of resolving the fluctuation variance contributed by the energetic subrange and most of the inertial-convective subrange, with a reduction in the fluctuation variance due to instrument smoothing of the finest scales present in the plume of at most 4%.Concentration time series have been analyzed to obtain the statistical characteristics of both the amplitude and temporal structure of the dispersing plume. We present alongwind and crosswind concentration fluctuation profiles of statistics of amplitude structure such as total and conditional fluctuation intensity, skewness and kurtosis, and of temporal structure such as intermittency factor, burst frequency, and mean burst persistence time. Comparisons of empirical concentration probability distributions with a number of model distributions show that our near-neutral data are best represented by the lognormal distribution at shorter ranges, where both plume meandering and fine-scale in-plume mixing are equally important (turbulent-convective regime), and by the gamma distribution at longer ranges, where internal structure or spottiness is becoming dominant (turbulent-diffusive regime). The gamma distribution provides the best model of the concentration pdf over all downwind fetches for data measured under stable stratification. A physical model is developed to explain the mechanism-induced probabilistic schemes in the alongwind development of a dispersing plume, that lead to the observed probability distributions of concentration. Probability distributions of concentration burst length and burst return period have been extracted and are shown to be modelled well with a powerlaw distribution. Power spectra of concentration fluctuations are presented. These spectra exhibit a significant inertial-convective subrange, with the frequency at the spectral peak decreasing with increasing downwind fetch. The Kolmogorov constant for the inertial-convective subrange has been determined from the measured spectra to be 0.17±0.03.
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