IJEP 43(11): 1008-1013 : Vol. 43 Issue. 11 (November 2023)
1. Acharya Narendra Dev College, Department of Computer Science, University of Delhi, New Delhi – 110 019, India
2. Acharya Narendra Dev College, Department of Electronics, University of Delhi, New Delhi – 110 019, India
Abstract
Pollution is one of the most important issues that has attracted the interest of all countries and communities worldwide. India is the eighth most polluted nation in the world and Delhi is the second most polluted capital in 2022. The proposed work uses intuitionistic fuzzy sets (IFS) to find out what makes Delhi’s air dirty at different times of the year. As the association of causes with components of pollution involves the subjective opinion of environmental scientists, this work employs IFS. The objective of the study is to develop a method for prioritizing the causes to identify the primary sources of Delhi’s air pollution. This work ranks causes of pollution in terms of their contribution to AQI. Results of the study indicate that in winter, spring and autumn, vehicular emissions cause the most air pollution, followed by road dust, smoke, construction and industrial emissions. In contrast, during the summer and monsoon seasons, road dust has the greatest impact on air quality. Government agencies can use the results to address the serious causes of air pollution.
Keywords
Air quality index, Air pollution, intuitionistic fuzzy sets, Particulate matter
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