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A Comparison of Air Quality in Arid and Temperate Climatic Conditions – A Case Study of Leeds and Makkah
Abstract:In this paper air quality conditions in Makkah and Leeds are compared. These two cities have totally different climatic conditions. Makkah climate is characterised as hot and dry (arid) whereas that of Leeds is characterised as cold and wet (temperate). This study uses air quality data from 2012 collected in Makkah, Saudi Arabia and Leeds, UK. The concentrations of all pollutants, except NO are higher in Makkah. Most notable, the concentrations of PM10 are much higher in Makkah than in Leeds. This is probably due to the arid nature of climatic conditions in Makkah and not solely due to anthropogenic emission sources, otherwise like PM10 some of the other pollutants, such as CO, NO, and SO2 would have shown much greater difference between Leeds and Makkah. Correlation analysis is performed between different pollutants at the same site and the same pollutants at different sites. In Leeds the correlation between PM10 and other pollutants is significantly stronger than in Makkah. Weaker correlation in Makkah is probably due to the fact that in Makkah most of the gaseous pollutants are emitted by combustion processes, whereas most of the PM10 is generated by other sources, such as windblown dust, re-suspension, and construction activities. This is in contrast to Leeds where all pollutants including PM10 are predominantly emitted by combustions, such as road traffic. Furthermore, in Leeds frequent rains wash out most of the atmospheric particulate matter and suppress re-suspension of dust. Temporal trends of various pollutants are compared and discussed. This study emphasises the role of climatic conditions in managing air quality, and hence the need for region-specific controlling strategies according to the local climatic and meteorological conditions.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1107766Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2088
 J.N.B. Bell, M. Treshow, ،،Air pollution and plant life'', 2 ed. John Wiley and Sons, London, UK. 2002.
 WHO, Ambient (outdoor) air pollution in cities database 2014. Available online: http://www.who.int/phe/health_topics/ outdoorair/databases/cities/en/ (accessed 16/12/2014).
 T.M. Habeebullah, An Analysis of Air Pollution in Makkah - a View Point of Source Identification, EnviromentAsia, 2013, vol.6, pp.11-17.
 M.E. Jenkin, Trends in ozone concentration distributions in the UK since 1990: Local, regional and global influences, Atmospheric Environment, 2008, vol. 42, pp. 5434-5445.
 M. Coyle, R.I. Smith, J.R. Stedman, K.J. Weston, D. Fowler, Quantifying the spatial distribution of surface ozone concentration in the UK, Atmospheric Environment, 2002, vol. 36, pp. 1013-1024.
 B.Z.GE, X. B. Xu, W. L. Lin, J. Li, , Z. F. Wang., 2012. Impact of the regional transport of urban Beijing pollutants on downwind areas in summer: ozone production efficiency analysis, Tellus B, 2012, vol.64, pp. 17348 - DOI: 10.3402/tellusb.v64i0.17348.
 S. Munir, Spatial-Temporal Analysis of Traffic-Related Ground Level Ozone, PhD thesis submitted to University of Leeds. 2013 Available online http://etheses.whiterose.ac.uk/5504/, accessed 16/12/2014).
 CDSI, Central Department of Statistics and Information (CDSI), Saudi Arabia 2010.
 T.M. Habeebullah, Health Impacts of PM10 Using AirQ2.2.3 Model in Makkah, Journal of Basic and Applied Sciences, 2013, vol. 9, pp. 259- 268.
 S. Munir, T.M. Habeebullah, A.R. Seroji, S.S. Gabr, A.M.F. Mohammed, E.A. Morsy, Quantifying temporal trends of atmospheric pollutants in Makkah (1997–2012), Atmospheric Environment, 2013a, vol. 77, pp. 647-655.
 S. Munir, T.M. Habeebullah, A.R. Seroji, E.A. Morsy, A.M.F. Mohammed, W.A. Saud, A.E.A. Abdou, A.H. Awad, Modeling Particulate Matter Concentrations in Makkah, Applying a Statistical Modeling Approach, Aerosol and Air Quality Research, 2013b, vol.13(3), pp. 901–910.
 A.R. Seroji, Particulates in the atmosphere of Makkah and Mina Valley during the Ramadan and Hajj seasons of 2004 and 2005.in: Brebbia, C.A. (Ed.), Air Pollution XIX, Witt press, Malta, 2011.
 R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2012. ISBN 3-900051- 07-0, URL http://www.R-project.org/. R Version 2.14. , 2012.
 D. Carslaw, K. Ropkins, Openair - An R Package for Air Quality Data Analysis, Environment Modelling Software, 2012, vol. 27 (1), pp. 52– 61.
 S. Munir, T.M. Habeebullah, Mohammed, A.M.F., E.A. Morsy, Awad A.H., A.R. Seroji, I.A. Hassan, An Analysis into the temporal variations of ground level ozone in the arid climate of Makkah applying k-means algorithms, EnvironmentAsia, 2014a, vol. 8 (1).
 S. Munir, H. Chen, K. Ropkins, Characterising the temporal variations of ground level ozone and its relationship with traffic-related air pollutants in the UK: a quantile regression approach, International Journal of Sustainable Development and Planning, 2014b, vol. 9 (1), pp. 29 - 41.