Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/111664
Title: Analysing relationship between air pollutants and meteorological parameters using TRA, PCA & CA : a concise review
Authors: Pawar, Bhushan Dinkar
Garg, Lalit
Caruana, Roberta J.
Buttigieg, Sandra C.
Calleja, Neville
Keywords: Air -- Pollution -- Case studies
Atmosphere -- Research
Air masses -- Measurement
Regression analysis
Meteorology -- Case studies
Issue Date: 2023
Publisher: OMICS Publishing Group
Citation: Pawar, B., Garg, L., Caruana, R. J., Buttigieg, S. C., & Calleja, N. (2023). Analysing Relationship between Air Pollutants and Meteorological Parameters Using TRA, PCA & CA: A Concise Review. Environment Pollution and Climate Change, 7(327), DOI:10.4172/2573-458X.1000327
Abstract: Air pollution plays a significant role in causing respiratory illnesses and fatalities, and it also contributes to global warming and environmental degradation. Recent advances in remote sensing technology have improved our understanding of the complex interactions involved. This review study offers a comprehensive examination of the current understanding of air pollution, highlighting areas where analytical and detection methods have been improved. The study highlights recent studies that use a worldwide monitoring system with established procedures to keep an eye on new environmental concerns. The study also evaluates the efficiency of different correlation methods, like TRA, PCA, and CA, in analysing the association among meteorological parameters and air pollution, and suggests the most appropriate techniques for the analysis.
URI: https://www.um.edu.mt/library/oar/handle/123456789/111664
Appears in Collections:Scholarly Works - FacICTCIS



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