Abstract
This study presents a methodology to evaluate the environmental costs of multi-source pollutant emissions in the Setubal Peninsula (southern Portugal). Assessment of the uncertainty related to SO2 emissions is achieved by indicator formalism using a soft image of plume dispersion as secondary information. Probability Field Simulation is applied to obtain a set of equi-probable images of spatial plumes dispersion. These different realisations are used to evaluate environmental impact costs. A final model of average costs and risk area maps of exceeding a given threshold are produced by using stochastic images and considering that different land uses of the peninsula — agriculture, urban area, marsh and protected natural area — have distinct environmental costs.
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© 1999 Springer Science+Business Media Dordrecht
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Nunes, C., Soares, A., Ferreira, F. (1999). Evaluation of Environmental Costs of SO2 Emissions Using Stochastic Images. In: Gómez-Hernández, J., Soares, A., Froidevaux, R. (eds) geoENV II — Geostatistics for Environmental Applications. Quantitative Geology and Geostatistics, vol 10. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9297-0_10
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DOI: https://doi.org/10.1007/978-94-015-9297-0_10
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5249-0
Online ISBN: 978-94-015-9297-0
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