scholarly journals Spatial and Temporal Variations of the Particulate Matter in Riyadh City, Saudi Arabia

2015 ◽  
Vol 06 (11) ◽  
pp. 1293-1307 ◽  
Author(s):  
Abdullah S. Modaihsh ◽  
Fahd N. Al-Barakah ◽  
Mahmoud E. A. Nadeem ◽  
Mohamed O. Mahjoub
Keyword(s):  
Saudi Arabia ◽  
Particulate Matter ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
Riyadh City

Air quality and elemental enrichment factors of aerosol particulate matter in Riyadh City, Saudi Arabia

2011 ◽  
Vol 6 (2) ◽  
pp. 585-599 ◽  
Author(s):  
Ahmed I. Rushdi ◽  
Khalid F. Al-Mutlaq ◽  
Mubarak Al-Otaibi ◽  
Aarif H. El-Mubarak ◽  
Bernd R. T. Simoneit
Keyword(s):  
Saudi Arabia ◽  
Particulate Matter ◽  
Air Quality ◽  
Enrichment Factors ◽  
Riyadh City

scholarly journals Examining the Spatio-temporal Dynamics of PM2.5 in Saudi Arabia Using Satellite-derived Data: A Cluster Study

2016 ◽  
Author(s):  
Yusuf Aina ◽  
Elhadi Adam ◽  
Fethi Ahmed
Keyword(s):  
Cluster Analysis ◽  
Saudi Arabia ◽  
Particulate Matter ◽  
Urban Areas ◽  
Temporal Dynamics ◽  
Fine Particulate Matter ◽  
Temporal Variations ◽  
World Health ◽  
Self Organizing Map ◽  
Fine Particulate

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.

Spatial and temporal variations of particulate matter concentrations in multifamily apartment buildings

2014 ◽  
Vol 76 ◽  
pp. 10-17 ◽  
Author(s):  
Tadas Prasauskas ◽  
Dainius Martuzevicius ◽  
Edvinas Krugly ◽  
Darius Ciuzas ◽  
Inga Stasiulaitiene ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
Apartment Buildings

scholarly journals Spatial and temporal variations in traffic-related particulate matter at New York City high schools

2009 ◽  
Vol 43 (32) ◽  
pp. 4975-4981 ◽  
Author(s):  
Molini M. Patel ◽  
Steven N. Chillrud ◽  
Juan C. Correa ◽  
Marian Feinberg ◽  
Yair Hazi ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Particulate Matter ◽  
High Schools ◽  
York City ◽  
Temporal Variations ◽  
Spatial And Temporal Variations
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