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Statistical Analysis of Air Pollution and Health: Application to Indian Data

M. N. Megeri, Prakash Kengnal

Abstract


Rapid and unplanned urbanization and industrialization have resulted in the distortion of India’s air quality and also have created opportunities as well as problems. The problem of Air pollution is very severe in a majority of Indian cities. In the present study, the level of Air pollution concerning urban and vehicular population is studied. The data collected for the study is from various census reports, Central Pollution Control Boards indiastat.com website, etc. The tools used for the study are Karl Pearson’s Coefficient of Correlation and Principal Component Analysis. The result of the study reveals that the urban population and vehicular population were strongly positively related. The relation between Whooping cough cases and Air pollution parameters in India is also strongly positive. For metropolitan cities of India, three important pollution indicators are identified with the help of Principal Component Analysis viz. PM in Delhi, NO2 in Mumbai and Kolkata. These three components are significant at a 1% level of significance.


Keywords


Urbanization, Air pollution, Principal Component Analysis, Karl Pearson’s Coefficient of Correlation and t-test.

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