A Kriging-based approach for locating a sampling site—in the assessment of air quality
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Air quality assessment studies have either high sampling or analyses costs. In these studies the representation of a city by a single sampling point is still a serious problem, especially in the metropolitans of developing countries, because of the absence of equipments required for sampling at different locations. In this paper, the smoke data measurements of long years are used in the determination of the region for the representation of the city by drawing contours through the Kriging method. Then, the selection of the sampling site in this region is done on the basis of the criteria recommended by the EPA. By this way, the data taken from this sampling point are used for assessing the average city concentrations with lower sampling and analyses costs. This information is valuable for monitoring the air quality and defining environmental policies, although the local distribution and the extreme concentration values over the city are not measurable.
KeywordsSampling location Sampling point Kriging method Air monitoring
We thank Professor Gürdal Tuncel for helpful criticism of the manuscript.
- Ambient Air Quality Monitoring Program Quality System Development (1998) Quality assurance handbook for air pollution measurement systems. United States Office of Air Quality EPA Environmental Protection Planning and Standards May Agency Research Triangle Park, NC 27711 Part I, Introduction 4/22/98 DraftGoogle Scholar
- Chilès JP, Delfiner P (1999) Geostatistics: modeling spatial uncertainty. Wiley, New York, p 696Google Scholar
- Deutsch CV, Journel AG (1998) GSLIB: geostatistical software library and user’s guide. Oxford University Press, New York, p 369Google Scholar
- Hudson G, Wackernagel H (1994) Mapping temperature using Kriging with external drift: theory and an example from Scotland. Int J Climatol 14:77–91Google Scholar
- Krige DG (1951) A statistical approach to some basic mine valuation problems on the Witwatersrand. J Chem Metall Min Soc S Afr December:119–139Google Scholar
- Matheron G (1971) The theory of regionalized variables and its applications. Les Cahiers du Centre de Morphologie Mathématique, Fascicule 5. Ecole Nationale Superieure des Mines de Paris, Fontainebleau, p 211Google Scholar
- Wackernagel H (2003) Multivariate geostatistics: an introduction with applications. Springer, Berlin Heidelberg New York, pp 387Google Scholar
- http://www.epa.gov. 40 CFR 58, Appendix Air Quality Assurance Requirements for State and Local Air Monitoring Stations (SLAMS), Ambient Air Quality Surveillance