STUDY OF QUALITY OF AIR NEAR COASTAL AREAS DUE TO INCREASING INDUSTRIALIZATION IN INDIA

Abstract

Fossil-fuel-based power industries play a pivotal role in India's economic liberalization and industrialization. However, their growth is accompanied by heightened air pollution, necessitating robust modeling approaches to design effective pollution control measures. This study evaluates the effectiveness of two dispersion models—Desein Dispersion Model (DDM) and the Industrial Source Complex Short-Term (ISCST3) model—in predicting Ground Level Concentrations (GLCs) of pollutants, specifically sulfur dioxide (SO2) and nitrogen oxides (NOx). Using hourly meteorological data, this research compares GLC predictions under varied seasonal conditions and highlights DDM’s suitability for Indian scenarios. Results indicate that DDM, with its reflection coefficient and gravitational settling terms, provides more accurate and practical assessments for pollution management in coastal and industrial regions.