Abstract
Gold mining at Kolar Gold Fields is closed but some industries in this area are in operation and some may like to be established. Data on atmospheric and meteorological parameters were generated using SODAR (Sound Detection and Ranging) and automatic weather station in different seasons. Over 2000 sodar echograms were recorded and classified into six categories like rising layer, thermal plume (free), ground based layer (spiky top), ground based layer (flat top), ground based multiple layers and dot echo structures. Using echograms, unstable period was determined to know the diluting capability of atmosphere for pollutants in the seasons. The highest duration of mixing heights revealed the period of highest dispersion. Based on the sodar echograms and mixing height, stability classes for the different times of the day were evaluated, which can be used for the estimation of dispersion coefficients. Influence of wind speed, wind direction, temperature, humidity, solar radiation and rainfall on mixing heights was studied. Statistical model was developed for the prediction of mixing height. Model adequacy was checked using F-statistics, normal distribution curve and correlation between predicted and measured values of mixing heights.
Highlights
The concentration of atmospheric pollutants is affected by atmospheric flows and by dispersion within the at mospheric boundary layer (A BL)
Over 2000 sodar echograms recorded in different seasons were analysed and classified into different categories
The rising echograms indicate transition fro m stable to unstable conditions
Summary
The concentration of atmospheric pollutants is affected by atmospheric flows and by dispersion within the at mospheric boundary layer (A BL). The height of the atmospheric boundary layer (ABL) or mixing height (MH) is a fundamental parameter that characterizes th e st ructu re o f t he lo wer at mosp here. As the dissipation of air pollutants in vertical and lateral d irections depends basically on atmospheric and meteorological condit ions, study on these parameters will be helpful for the industries either in operation or to be set up in this area to reduce their impacts. Considering these, seasonal data on atmospheric and meteorological parameters were generated for the assessment of stability periods, to find out the seasonal variation in mixing height, to determine the stability classes of the area, to study the influence of meteorological parameters on mixing height, and to develop statistical model for the evaluation of mixing height
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