Effluent Recirculation for Contaminant Removal in Constructed Wetlands Under Uncertainty: A Stochastic Numerical Approach Based on Monte Carlo Methodology | SpringerLink
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Effluent Recirculation for Contaminant Removal in Constructed Wetlands Under Uncertainty: A Stochastic Numerical Approach Based on Monte Carlo Methodology

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Large-Scale Scientific Computing (LSSC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13127))

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Abstract

The problem of the alternative operational technique concerning effluent re-circulation in Horizontal Subsurface Flow Constructed Wetlands (HSF CW), and the possibility of this technique to remove efficiently pollutants under uncertainty, is investigated numerically in a stochastic way. Uncertain-but-bounded input-parameters are considered as interval parameters with known upper and lower bounds. This uncertainty is treated by using the Monte Carlo method. A typical pilot case of an HSF CW concerning Biochemical Oxygen Demand (BOD) removal is presented and numerically investigated. The purpose of the present study is to compare the relevant numerical results obtained under parameter uncertainty and concerning HSF CW operation with and without the effluent recirculation technique.

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Acknowledgements

This work of K. Georgiev was accomplished with the support by the Grant No BG05M2OP001-1.001-0003, financed by the Science and Education for Smart Growth Operational Program (2014-2020) and co-financed by the European Union through the European structural and Investment funds.

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Authors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Konstantinos Liolios, Krassimir Georgiev & Ivan Georgiev

  2. Department of Mechanical Engineering, Faculty of Engineering, University of Western Macedonia, Kozani, Greece

    Georgios Skodras

  3. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Ivan Georgiev

Authors
  1. Konstantinos Liolios
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  2. Georgios Skodras
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  3. Krassimir Georgiev
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  4. Ivan Georgiev
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Editors and Affiliations

  1. IICT-BAS, Sofia, Bulgaria

    Ivan Lirkov

  2. IICT-BAS, Sofia, Bulgaria

    Svetozar Margenov

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Liolios, K., Skodras, G., Georgiev, K., Georgiev, I. (2022). Effluent Recirculation for Contaminant Removal in Constructed Wetlands Under Uncertainty: A Stochastic Numerical Approach Based on Monte Carlo Methodology. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2021. Lecture Notes in Computer Science, vol 13127. Springer, Cham. https://doi.org/10.1007/978-3-030-97549-4_17

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  • DOI: https://doi.org/10.1007/978-3-030-97549-4_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97548-7

  • Online ISBN: 978-3-030-97549-4

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