A Study on Air Pollution Trends in Sanathnagar, Hyderabad using Principle Component and Cluster Analysis

Bhavana Hemavani, Dr. G. V. R. Srinivasa Rao

Abstract: Principle Component Analysis (PCA) and Cluster Analysis (CA) are used to understand the correlations among various air pollutants and the meteorological parameters in an industrial and commercial area at Hyderabad, India. The analysis is done using a decade long data and the correlations are obtained seasonally. The results from the both analysis have shown similar trends. The KMO test sampling adequacy and the Bartlett test significance values have proved that the results of analysis are satisfactory.

Keywords: Principle Component Analysis, Cluster Analysis, Multivariate Analysis, SPSS, Hyderabad

How to Cite?: Bhavana Hemavani, Dr. G. V. R. Srinivasa Rao, "A Study on Air Pollution Trends in Sanathnagar, Hyderabad using Principle Component and Cluster Analysis", Volume 9 Issue 2, February 2020, International Journal of Science and Research (IJSR), Pages: 844-847, https://www.ijsr.net/getabstract.php?paperid=SR20212152829, DOI: https://dx.doi.org/10.21275/SR20212152829