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Modelling of Climate Change Impact on Water Resources: Cellular Automata Approach

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Book cover Cellular Automata (ACRI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9863))

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Abstract

In this work, we consider the cellular automata approach for modelling the climate change impact on water resources. This consists on coupling physical terrain attributes like altitude, soil type and land use, for a given region with the corresponding climate projections (temperature and precipitation). The system evolves under a water cycle dynamics governed by mass conservation principle. We apply the model to a basin in northern Morocco using a simulation tool we designed.

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References

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Acknowledgments

This work has been supported by the project PPR2-OGI-Env and the international network TDS, Academy Hassan II of Sciences and Techniques.

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Authors and Affiliations

  1. GAT Team, Faculty of Sciences and Techniques, 416, Tangier, Morocco

    Hamidou Kassogué, Abdessamed Bernoussi & Mina Amharref

  2. MMC Team, Faculty of Sciences and Techniques, 416, Tangier, Morocco

    Mustapha Ouardouz

Authors
  1. Hamidou Kassogué
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  2. Abdessamed Bernoussi
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  3. Mina Amharref
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  4. Mustapha Ouardouz
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Corresponding author

Correspondence to Hamidou Kassogué .

Editor information

Editors and Affiliations

  1. University of Perpignan, Perpignan, France

    Samira El Yacoubi

  2. AGH University of Science and Techn, Kraków, Poland

    Jaroslaw Wąs

  3. Department of Computer Science, University of Milano-Bicocca, Milan, Italy

    Stefania Bandini

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Kassogué, H., Bernoussi, A., Amharref, M., Ouardouz, M. (2016). Modelling of Climate Change Impact on Water Resources: Cellular Automata Approach. In: El Yacoubi, S., Wąs, J., Bandini, S. (eds) Cellular Automata. ACRI 2016. Lecture Notes in Computer Science(), vol 9863. Springer, Cham. https://doi.org/10.1007/978-3-319-44365-2_28

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  • DOI: https://doi.org/10.1007/978-3-319-44365-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44364-5

  • Online ISBN: 978-3-319-44365-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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