In the present study dispersion coefficients, y and z have been estimated from
five different schemes (Irwin, Draxler, Briggs rural, Pasquill and Taylor) using
EPRI data. An intercomparison of the estimated y values has been made between
models and with observations. It is found that during stability A and B reasonably
good estimates of y could be obtained with conventional/empirical methods and
the observed data are smooth with a set trend. However when the atmospheric
turbulence decreases and stability increases the observed data show a random
pattern. This is more true during stable atmospheric conditions, where none of
the schemes could satisfactorily represent the observed data. This suggests, still
more research is needed for close to reality representation of complex atmospheric
processes during stable atmospheric conditions. Validation of v and w with the
observed data has been made as these were used for the estimation of dispersion
parameters. Statistical evaluation based on various performance measures showed
a good performance of parameterisations adopted in this study during different
stability conditions.
In the present study dispersion coefficients, y and z have been estimated from
five different schemes (Irwin, Draxler, Briggs rural, Pasquill and Taylor) using
EPRI data. An intercomparison of the estimated y values has been made between
models and with observations. It is found that during stability A and B reasonably
good estimates of y could be obtained with conventional/empirical methods and
the observed data are smooth with a set trend. However when the atmospheric
turbulence decreases and stability increases the observed data show a random
pattern. This is more true during stable atmospheric conditions, where none of
the schemes could satisfactorily represent the observed data. This suggests, still
more research is needed for close to reality representation of complex atmospheric
processes during stable atmospheric conditions. Validation of v and w with the
observed data has been made as these were used for the estimation of dispersion
parameters. Statistical evaluation based on various performance measures showed
a good performance of parameterisations adopted in this study during different
stability conditions.
การแปล กรุณารอสักครู่..
