Abstract
This paper describes a geostatistical data analysis approach for assessing temporal and spatial variability in the concentrations of hazardous pollutants in urban air. The objective of this analysis is to determine how reliably concentrations measured at one or more times and locations can be used to estimate concentrations at other times and locations. The approach used is that of classical three-dimensional ordinary kriging with a joint temporal-spatial semivariogram model containing an isotropic spherical component, and zonal cosine and linear components in the temporal direction. The method is illustrated using data from the 1990 Atlanta Ozone Precursor Study, an air quality monitoring study conducted by the U.S. Environmental Protection Agency’s Atmospheric Research and Exposure Assessment Laboratory (AREAL).
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© 1994 Springer Science+Business Media Dordrecht
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Buxton, B.E., Pate, A.D. (1994). Joint Temporal-Spatial Modeling of Concentrations of Hazardous Pollutants in Urban Air. In: Dimitrakopoulos, R. (eds) Geostatistics for the Next Century. Quantitative Geology and Geostatistics, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0824-9_10
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DOI: https://doi.org/10.1007/978-94-011-0824-9_10
Publisher Name: Springer, Dordrecht
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