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New Mathematical Optimization Approaches for LID Systems

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Numerical Computations: Theory and Algorithms (NUMTA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11973))

Abstract

Urbanization affects ecosystem health and downstream communities by changing the natural flow regime. In this context, Low Impact Development (LID) systems are important tools in sustainable development. There are many aspects in design and operation of LID systems and the choice of the selected LID and its location in the basin can affect the results. In this regard, the Mathematical Optimization Approaches can be an ideal method to optimize LIDs use. Here we consider the application of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Rough Set theory (multiple attributes decision-making method). An advantage of using the Rough Set method in LID systems is that the selected decisions are explicit, and the method is not limited by restrictive assumptions. This new mathematical optimization approach for LID systems improves previous studies on this subject. Moreover, it provides an additional tool for the analysis of essential attributes to select and optimize the best LID system for a project.

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Acknowledgements

The study was co-funded by the Italian Operational Project (PON)—Research and Competitiveness for the convergence regions 2007/2013—I Axis “Support to structural changes” operative objective 4.1.1.1. “Scientific-technological generators of transformation processes of the productive system and creation of new sectors” Action II: “Interventions to support industrial research”.

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Authors and Affiliations

  1. Department of Mechanical, Energy and Management Engineering, University of Calabria, Rende, CS, Italy

    Behrouz Pirouz

  2. Department of Civil Engineering, University of Calabria, Rende, CS, Italy

    Stefania Anna Palermo & Patrizia Piro

  3. Department of Environmental and Chemical Engineering, University of Calabria, Rende, Italy

    Michele Turco

Authors
  1. Behrouz Pirouz
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  2. Stefania Anna Palermo
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  3. Michele Turco
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  4. Patrizia Piro
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Corresponding author

Correspondence to Behrouz Pirouz .

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Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Yaroslav D. Sergeyev

  2. University of Calabria, Rende, Italy

    Dmitri E. Kvasov

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Pirouz, B., Palermo, S.A., Turco, M., Piro, P. (2020). New Mathematical Optimization Approaches for LID Systems. In: Sergeyev, Y., Kvasov, D. (eds) Numerical Computations: Theory and Algorithms. NUMTA 2019. Lecture Notes in Computer Science(), vol 11973. Springer, Cham. https://doi.org/10.1007/978-3-030-39081-5_50

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  • DOI: https://doi.org/10.1007/978-3-030-39081-5_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39080-8

  • Online ISBN: 978-3-030-39081-5

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