The most important contaminants of air pollutants in Klang station using multivariate statistical analysis

Haslina Zakaria, Shamshuritawati Sharif
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Abstract

Air pollution is a crucial subject that needs responsiveness from all relevant authorities as it is one of the major factors that disturbing public health, agricultural industries, forest species and environments. Thus, it is important to determine the most significance contaminants to monitor the air quality. In this study, the daily data of contaminants suspended in the air which are particulate matter (PM), and various gases such as ozone (O3), nitrogen oxides (NO2), sulphur dioxide (SO2), and carbon monoxide (CO) are used. It is covering a four year time period from 2011 until 2014 that vetained from the Malaysian Department of Environment (DOE). Multivariate statistical analysis such as a radar plot, correlation analysis and principal component analysis is used to determine the most significant contaminants for the air-pollutant. From the study, it can be concluded that that Nitrogen Oxides (52%) is the most influential contaminant of air pollutants followed by Particulate Matter (43.9%) and Carbon Monoxide (43.3%).
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巴生站空气污染物中最重要的污染物采用多元统计分析
空气污染是一个至关重要的问题,需要所有有关当局作出反应,因为它是扰乱公共卫生、农业、森林物种和环境的主要因素之一。因此,确定最重要的污染物对监测空气质量具有重要意义。在本研究中,使用了悬浮在空气中的污染物的日常数据,这些污染物是颗粒物(PM),以及臭氧(O3),氮氧化物(NO2),二氧化硫(SO2)和一氧化碳(CO)等各种气体。该报告涵盖了马来西亚环境部(DOE)从2011年到2014年的四年时间。多变量统计分析(如雷达图、相关分析和主成分分析)用于确定空气污染物中最显著的污染物。从研究中可以得出,氮氧化物(52%)是空气污染物中影响最大的污染物,其次是颗粒物(43.9%)和一氧化碳(43.3%)。
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