Statistical Analysis of Air Pollution and Health Parameters: Application to Indian Data
Klíčová slova:
Urbanization, Air pollution, Principal Component Analysis, Karl Pearson’s Coefficient of Correlation and t-test.Abstrakt
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 with respect to urban and vehicular population is studied. The data collected for the study is from various census reports, Central Pollution Control Boards and 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 urban population and vehicular population strongly positively related. The relation between Whooping cough cases and Air pollution parameters for 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 1% level of significance.Keywords: Urbanization, Air pollution, Principal Component Analysis, Karl Pearson’s Coefficient of Correlation and t-test.Publikováno
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