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On the Prediction of Anomalous Contaminant Diffusion

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18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) (SOCO 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 750))

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Abstract

The present work aims to estimate the parameters necessary to predict a contaminant diffusion in a medium where a biflux anomalous diffusion phenomenon occurs. To accomplish it, an inverse problem approach is adopted, and with the aid of the Differential Evolution algorithm the parameters were estimated. Synthetic experimental data generated with the Bevilacqua-Galeão Model were used to simulate a real case scenario. The outcome of the proposed method accurately predicted the dispersion of contamination with a tolerable margin of error.

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Notes

  1. 1.

    https://www.cdc.gov/healthywater/drinking/contamination.html.

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Acknowledgments

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ). D. Corrêa acknowledges CAPES also for the scholarship for his stay in the University of Granada (Grant CAPES/PrInt No. 88887.717186/2022-00). D. Pelta acknowledges support from projects PID2020-112754GB-I00, MCIN /AEI/ 10.13039 /501100011033 and FEDER/Junta de Andalucía-Consejería de Transformación Económica, Industria, Conocimiento y Universidades/Proyecto (BTIC-640-UGR20).

Author information

Authors and Affiliations

  1. Rio de Janeiro State University, Rio de Janeiro, Brazil

    Douglas F. Corrêa, Guido F.M.G. Carvalho & Antônio J. Silva Neto

  2. Department of Computer Science & A.I., University of Granada, Granada, 18014, Spain

    Guido F.M.G. Carvalho & David A. Pelta

  3. University of São Paulo, São Paulo, Brazil

    Claudio F. M. Toledo

Authors
  1. Douglas F. Corrêa
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  2. Guido F.M.G. Carvalho
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  3. David A. Pelta
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  4. Claudio F. M. Toledo
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  5. Antônio J. Silva Neto
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Corresponding author

Correspondence to Douglas F. Corrêa .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. School of Industrial, Computer, University of Leon, León, Spain

    Hilde Pérez García

  3. Department of Mechanical Engineering, University of La Rioja, Logroño, Spain

    Francisco Javier Martínez de Pisón

  4. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  5. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  6. Applied Computational Intelligence, University of Burgos, Burgos, Spain

    Álvaro Herrero

  7. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    José Luis Calvo Rolle

  8. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    Héctor Quintián

  9. Faculty of Science, University of Salamanca, Salamanca, Spain

    Emilio Corchado

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F. Corrêa, D., F.M.G. Carvalho, G., Pelta, D.A., Toledo, C.F.M., Silva Neto, A.J. (2023). On the Prediction of Anomalous Contaminant Diffusion. In: García Bringas, P., et al. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023). SOCO 2023. Lecture Notes in Networks and Systems, vol 750. Springer, Cham. https://doi.org/10.1007/978-3-031-42536-3_28

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