Abstract
Two kinds of problems related to air pollution control in the industrial area of Barreiro/Seixal have been tackled by geostatistical methods: i) One is based on observations made over a large period of time at fixed monitoring stations; two different pollutant structures are identified and split by a threshold value of SO2. Spatial probability maps for the critical high spikes of SO2 concentrations are calculated by kriging indicator variables ii) For a given threshold the shape of the plume — high spikes of SO2 — is determined by transforming the estimated probability maps into morphological maps, fundamental tools for evaluation of the environmental impact on the area.
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© 1993 Kluwer Academic Publishers
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Soares, A., Távora, J., Pinheiro, L., Freitas, C., Almeida, J.A. (1993). Predicting Probability Maps of Air Pollution Concentration: A Case Study on Barreiro/Seixal Industrial Area. In: Soares, A. (eds) Geostatistics Tróia ’92. Quantitative Geology and Geostatistics, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1739-5_49
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DOI: https://doi.org/10.1007/978-94-011-1739-5_49
Publisher Name: Springer, Dordrecht
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