TITLE:
Spatio-Temporal Air Pollutant Characterization for Urban Areas
AUTHORS:
Nurainshafika Sahak, Arnis Asmat, Noor Zaitun Yahaya
KEYWORDS:
Urban Pollution, Air Pollution Index (API), Spatio-Temporal Characterization, Source of Pollutants, Inverse Distance Weighted (IDW), Principal Component Analysis (PCA)
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.10 No.1,
January
29,
2022
ABSTRACT: Urban pollution has now become increasingly recognized as an important
determinant of air pollution in developed countries. The effect of urban air
pollution in developing countries, on the other hand, has not been adequately
addressed in the data Spatio-temporal time series. Thus, this study was
intended to characterize the effect of urbanization on air pollution for an
urbanized Klang Valley, Malaysia using Spatio-temporal data from 2008 to 2017.
The Air Pollution Index (API) data and local pollutant concentration were
employed to establish the links between urban air pollution. The analysis will
be supported by determining the source of pollutants during the study period
using Principal Component
Analysis (PCA). The
study identified that Carbon monoxide (CO),
Nitrogen Dioxide (NO2), and Ozone (O3) are the major air pollution that has contributed to degrading air quality in
the Klang Valley due to the vehicles, combustion process, and industries.