Atmospheric Boundary Layer Characteristics Using Monostatic SODAR

Abstract

The variability of atmospheric boundary layer along with meteorological parameters have been investigated. Two sources of data have been used in the present work: SODAR (Sound wave detection and ranging) and automatic weather station for the period from December 2013- November 2014. A LabVIEW based program has been developed to plot the stability class from A to F directly from mixing height data. Based on SODAR echograms and mixing height; temporal and seasonal variability of stability classes has been evaluated. Impact of meteorological parameters, i.e., wind speed, temperature and relative humidity on mixing height during different seasons have also been studied. A new method for prediction of ventilation coefficient is developed. In this study, wavelet, artificial neural network and fuzzy models in conjunction are utilized for developing a new model for prediction of ventilation coefficient. These studies shall be indispensable for the Air pollution management.