Principal Component Analysis for Relationship Between Air Quality and Bird Diversity During Pre- and Post-Monsoon Seasons of Asansol Area, West Bengal

Debdyuti Sengupta, Soumendra Nath Talapatra

Abstract: The present study was to perform principal component analysis for air quality data and bird diversity during pre- and post-monsoon seasons of Asansol area, West Bengal. All the secondary data of ambient air pollutants such as PM2.5, PM10, SO2 and NO2 on Asansol area, West Bengal were procured from Air Quality Information System of West Bengal Pollution Control Board, Kolkata to know the present status of air quality during pre- and post-monsoon season (2021-2022). In the present study, multivariate analysis especially Principal Component Analysis (PCA) was performed using the PAST tool (version, 3.25). In this study, the PC-1 (66.74% of the original variation elucidated) observed relatively higher value of positive loading for bird diversity in A2 site while higher negative loading for PM10 followed by site A1, NO2, SO2 and PM2.5 during pre-monsoon season. While the PC-1 (47.63% of the original variation elucidated) observed relatively higher value of positive loading for PM2.5 followed by PM10, SO2, NO2, and bird diversity in A2 site while higher negative loading for followed by bird diversity in A1 site during post-monsoon season. It is concluded that the alteration of air quality decreased the avifaunal diversity in the study area.

Keywords: Air quality, Avifauna, Biodiversity, Correlation, Diversity, Principal Component Analysis

How to Cite?: Debdyuti Sengupta, Soumendra Nath Talapatra, "Principal Component Analysis for Relationship Between Air Quality and Bird Diversity During Pre- and Post-Monsoon Seasons of Asansol Area, West Bengal", Volume 14 Issue 7, July 2025, International Journal of Science and Research (IJSR), Pages: 1752-1757, https://www.ijsr.net/getabstract.php?paperid=SR25728145715, DOI: https://dx.doi.org/10.21275/SR25728145715