The present paper reports a study on the dependence of tropospheric ozone on some of its precursors, namely NOx, PM10, and SO2 during summer monsoon over a highly polluted Kolkata region megacity of India. The intrinsic multicollinearity has been explored through Bartlett’s sphericity test. Subsequently, principal component analysis has been implemented to identify the principal components with maximum factor loadings, and accordingly, the most influential ozone precursors have been extracted. Finally, after fitting some continuous and discrete distributions to the extracted precursors, the intrinsic uncertainty has been investigated by maximizing Shannon entropy. The normal distribution has been identified to generate the maximum entropy probability distribution for surface ozone and its precursors. Future directions have been stated at the end of the study.

本文报道了在印度加尔各答污染严重的大城市夏季季风期间对流层臭氧对其某些前体（即NOx，PM10和SO2）的依赖性的研究。通过Bartlett的球形度测试探索了固有的多重共线性。随后，已进行主成分分析以识别具有最大因子负荷的主成分，因此，提取了最具影响力的臭氧前体。最后，在将一些连续且离散的分布拟合到提取的前体之后，通过最大化香农熵来研究固有不确定性。已经确定了正态分布以生成表面臭氧及其前体的最大熵概率分布。