Version 1
: Received: 1 December 2016 / Approved: 1 December 2016 / Online: 1 December 2016 (15:25:56 CET)
How to cite:
Aina, Y.; Adam, E.; Ahmed, F. Examining the Spatio-temporal Dynamics of PM2.5 in Saudi Arabia Using Satellite-derived Data: A Cluster Study. Preprints2016, 2016120011. https://doi.org/10.20944/preprints201612.0011.v1
Aina, Y.; Adam, E.; Ahmed, F. Examining the Spatio-temporal Dynamics of PM2.5 in Saudi Arabia Using Satellite-derived Data: A Cluster Study. Preprints 2016, 2016120011. https://doi.org/10.20944/preprints201612.0011.v1
Aina, Y.; Adam, E.; Ahmed, F. Examining the Spatio-temporal Dynamics of PM2.5 in Saudi Arabia Using Satellite-derived Data: A Cluster Study. Preprints2016, 2016120011. https://doi.org/10.20944/preprints201612.0011.v1
APA Style
Aina, Y., Adam, E., & Ahmed, F. (2016). <strong>Examining the Spatio-temporal Dynamics of PM<sub>2.5 </sub>in Saudi Arabia Using Satellite-derived Data: A Cluster Study</strong>. Preprints. https://doi.org/10.20944/preprints201612.0011.v1
Chicago/Turabian Style
Aina, Y., Elhadi Adam and Fethi Ahmed. 2016 "<strong>Examining the Spatio-temporal Dynamics of PM<sub>2.5 </sub>in Saudi Arabia Using Satellite-derived Data: A Cluster Study</strong>" Preprints. https://doi.org/10.20944/preprints201612.0011.v1
Abstract
The study of the concentrations and effects of fine particulate matter in urban areas have been of great interest to researchers in recent times. This is due to the acknowledgment of the far-reaching impacts of fine particulate matter on public health. Remote sensing data have been used to monitor the trend of concentrations of particulate matter by deriving aerosol optical depth (AOD) from satellite images. The Center for International Earth Science Information Network (CIESIN) has released the second version of its global PM2.5 data with improvement in spatial resolution. This paper revisits the study of spatial and temporal variations in particulate matter in Saudi Arabia by exploring the cluster analysis of the new data. Cluster analysis of the PM2.5 values of Saudi cities is performed by using Anselin local Moran’s I statistic. Also, the analysis is carried out at the regional level by using self-organizing map (SOM). The results show an increasing trend in the concentrations of particulate matter in Saudi Arabia, especially in some selected urban areas. The eastern and south-western parts of the Kingdom have significantly clustering high values. Some of the PM2.5 values have passed the threshold indicated by the World Health Organization (WHO) standard and targets posing health risks to Saudi urban population.
Keywords
satellite data; fine particulate matter; air pollution; geographic information system; health risks; spatial analysis; Saudi Arabia
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
