THE ASSESSMENT OF AMBIENT AIR POLLUTION PATTERN IN SHAH ALAM, SELANGOR, MALAYSIA

U. A. Zakaria, A. S. M. Saudi, I. F. Abu, A. Azid, A. Balakrishnan, N. A. Amin, Z. I. Rizman

Abstract


This study implements the statistical analysis to establish the association between air pollution trends with the industrial activities in Shah Alam, Selangor. PCA used to identify most significant parameters contributing to air pollution and it sources of pollutions, whereas SPC used to determine the pattern and contribution each of most significant pollutants in the study area and Spearman Correlation used to determine the relationship between air pollutants and meteorological factors. The result identified the major possible sources of air pollution were 38.3% and 32.46% of total variance. The patterns for most significant parameters mostly exceeding RMAAQG from 2009 to 2011 and has improved starting 2012. It also found correlation between air pollutants and meteorological was significantly low

Thus, it concluded that pollution in Shah Alam was due to high combustion and emission from vehicles.


Keywords


principal component analysis; statistical process control; spearman correlation; air pollution trends

Full Text:

PDF


DOI: http://dx.doi.org/10.4314/jfas.v9i4s.43

Refbacks

  • There are currently no refbacks.


Copyright (c) 2017 Journal of Fundamental and Applied Sciences

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons Licence
Journal of Fundamental and Applied Sciences is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. Libraries Resource Directory. We are listed under Research Associations category

 

 

 

  Share