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A Parallel Model Based on Cellular Automata for the Simulation of Pesticide Percolation in the Soil*

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1662))

Abstract

We present a parallel model based on Cellular Automata for the simulation of reaction-diffusion processes, that has been applied to the percolation of pesticides in the soil. The main contribution of our approach consists of a model where chemical reactions and the move- ment of fluid particles in a porous medium can be explicitly described and simulated. The model has been used to reproduce the process that causes pesticides, contained in the soil after their application to crops, to be released into water flowing through the soil and to be carried to the groundwater layer, polluting it. The model has been successfully im- plemented on Cray T3E and SGI Origin 2000 parallel computers.

This work was part of the TTN/CAPP project, supported by European Commission DG3.

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References

  1. Dab D., Boon J. P., Cellular Automata to Reaction-Diffusion Systems. In Cellular Automata and Modeling of Complex Physical Systems, Springer Proceedings in Physics, Vol. 46, 1990.

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  2. Rao P. S. C, Hornsby A. G., Jessup R. E. Indices for Ranking th ePotential for Pesticide Contamination of Groundwater, 1985.

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  4. Bandini S., Simone C., Reaction Diffusion Computational Models. In Proceedings of the 3rd Systems Science European Congress, Rome 1996.

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  5. Bandini S., Simone C., Integrating Forms of Interaction in a Distributed Model, to appear in Foundamenta Informaticae, 1999.

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© 1999 Springer-Verlag Berlin Heidelberg

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Bandini, S., Mauri, G., Pavesi, G., Simone, C. (1999). A Parallel Model Based on Cellular Automata for the Simulation of Pesticide Percolation in the Soil* . In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 1999. Lecture Notes in Computer Science, vol 1662. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48387-X_40

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  • DOI: https://doi.org/10.1007/3-540-48387-X_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66363-8

  • Online ISBN: 978-3-540-48387-8

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