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Management of Pollutants in Industries: A Case Study

Received: 15 July 2015    Accepted: 27 July 2015    Published: 11 August 2015
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Abstract

In this paper, using fuzzy logic, a model is presented to monitor region wise industrial pollutants in pyrometallurgy industries. The model has been used in a case study that will determine which industry, in which region, producing which and how much pollutants, is ecologically compatible. To assess the ecological compatibility, first, the sets of industries, regions, pollutants and ecology compatibility were defined. Then, to calculate the membership degree of the members of the ecology compatibility set, the membership function of ecology compatibility was defined. By ranking different industries in various regions, producing different pollutants, as continuous figures, the ecological compatibility of these industries was accurately compared. Given the degree of ecological compatibility in a region, the type of pollutant and the related industry, identification of the lowest degree of ecological compatibility was the first priority of this case study. Results of the conducted case study, without considering the region coefficient, show that in December 2005, member C241, with an ecological degree of compatibility equivalent to 0.0559, had the most critical condition in producing carbon dioxide. However, in the same period in 2005, on considering the region coefficient, member C121, with an ecological degree of compatibility equivalent to 0.0655, showed the most critical condition as far the production of carbon dioxide was concerned.

Published in Journal of Investment and Management (Volume 4, Issue 4)
DOI 10.11648/j.jim.20150404.13
Page(s) 113-118
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Fuzzy Logic, Monitoring, Pyrometallurgy Industries

References
[1] S.E. Vahdat and A. Pournaghi, "The Model for Monitoring of Pollutants Located in Different Regions", Management Science and Practice, Vol. 1, Iss. 1, PP. 8-13, 2013.
[2] M.H. Sowlat, H. Gharibi, M. Yunesian, M. Tayefeh Mahmoudi and S. Lotfi, “A novel fuzzy-based air quality index (FAQI) for air quality assessment”, Atmospheric Environment, Vol. 45, pp. 2050-2059, 2011.
[3] R. Mintz, B.R. Young and W.Y. Svrcek, “Fuzzy logic modeling of surface ozone concentrations”, Journal of Computers and Chemical Engineering, Vol. 29,pp. 2049-2059, 2005.
[4] O.M. Pokrovsky, R.H.F. Kwok and C.N. Ng, “Fuzzy logic approach for description of meteorological impacts on urban air pollution species: a Hong Kong case study”, Computers and Geosciences, Vol. 28, pp. 119-127, 2002.
[5] A. Astel, “Chemometrics based on Fuzzy logic principles in environmental studies”, Talanta, Vol. 72, pp. 1-12, 2007.
[6] P.H. Chen, J.-H. Lai and C.-T. Lin., “Application of Fuzzy control to a road tunnel ventilation system”, Fuzzy Sets and Systems, Vol. 100, pp. 9-28, 1998.
[7] Y. Icaga, “Fuzzy evaluation of water quality classification”, Ecological Indicators, Vol. 7, pp. 710-718, 2007.
[8] S. E. Vahdat and F.M. Nakhaee, “Air Pollution Monitoring using Fuzzy Logic in Industries”, F. Nejadkoorki, Ed. Rijeka, Croatia: InTech publication, 2011.
[9] (2005) The Aluminum society website. [Online]. Available: http://www.world-aluminium.org
[10] K. Lamm K., “The CO2 - Story – A Fairy – Tale – (Or a Nightmare?),” Lead Zinc 2010, MetSoc COM 2010, A john and Sons Inc., 2010, p. 953.
[11] D. Moradkhani, B. Sedaghat, A. Rashtchi and A. Khodadadi, “Heavy metal pollution potential of zinc leach residues discarded in IZMDC”, Lead Zinc 2010, MetSoc, COM 2010, A john and Sons Inc., 2010, p. 141.
[12] (2005) The Lead society website. [Online]. Available: http://www.lead.org
[13] Geir O. Braathen, Ed., An overview of the 2005: Antarctic Ozone Hole, WMO Global Ozone Research and Monitoring Project, Word Meteorological Organizationreport no. 49 (WMO TD no. 1312), Maryland, USA, 2005, vol. 49.
[14] (2005) The EPA website. [Online]. Available: http://epa.gov/air/emissions/index.htm
[15] (2005) The SDAPCD website. [Online]. Available: http://www.sdapcd.org.
Cite This Article
  • APA Style

    Seyed Ebrahim Vahdat, Rohollah Askarpour, Pedram Keyhany, Yones Rahimi, Hadi Soflaei. (2015). Management of Pollutants in Industries: A Case Study. Journal of Investment and Management, 4(4), 113-118. https://doi.org/10.11648/j.jim.20150404.13

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    ACS Style

    Seyed Ebrahim Vahdat; Rohollah Askarpour; Pedram Keyhany; Yones Rahimi; Hadi Soflaei. Management of Pollutants in Industries: A Case Study. J. Invest. Manag. 2015, 4(4), 113-118. doi: 10.11648/j.jim.20150404.13

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    AMA Style

    Seyed Ebrahim Vahdat, Rohollah Askarpour, Pedram Keyhany, Yones Rahimi, Hadi Soflaei. Management of Pollutants in Industries: A Case Study. J Invest Manag. 2015;4(4):113-118. doi: 10.11648/j.jim.20150404.13

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  • @article{10.11648/j.jim.20150404.13,
      author = {Seyed Ebrahim Vahdat and Rohollah Askarpour and Pedram Keyhany and Yones Rahimi and Hadi Soflaei},
      title = {Management of Pollutants in Industries: A Case Study},
      journal = {Journal of Investment and Management},
      volume = {4},
      number = {4},
      pages = {113-118},
      doi = {10.11648/j.jim.20150404.13},
      url = {https://doi.org/10.11648/j.jim.20150404.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jim.20150404.13},
      abstract = {In this paper, using fuzzy logic, a model is presented to monitor region wise industrial pollutants in pyrometallurgy industries. The model has been used in a case study that will determine which industry, in which region, producing which and how much pollutants, is ecologically compatible. To assess the ecological compatibility, first, the sets of industries, regions, pollutants and ecology compatibility were defined. Then, to calculate the membership degree of the members of the ecology compatibility set, the membership function of ecology compatibility was defined. By ranking different industries in various regions, producing different pollutants, as continuous figures, the ecological compatibility of these industries was accurately compared. Given the degree of ecological compatibility in a region, the type of pollutant and the related industry, identification of the lowest degree of ecological compatibility was the first priority of this case study. Results of the conducted case study, without considering the region coefficient, show that in December 2005, member C241, with an ecological degree of compatibility equivalent to 0.0559, had the most critical condition in producing carbon dioxide. However, in the same period in 2005, on considering the region coefficient, member C121, with an ecological degree of compatibility equivalent to 0.0655, showed the most critical condition as far the production of carbon dioxide was concerned.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Management of Pollutants in Industries: A Case Study
    AU  - Seyed Ebrahim Vahdat
    AU  - Rohollah Askarpour
    AU  - Pedram Keyhany
    AU  - Yones Rahimi
    AU  - Hadi Soflaei
    Y1  - 2015/08/11
    PY  - 2015
    N1  - https://doi.org/10.11648/j.jim.20150404.13
    DO  - 10.11648/j.jim.20150404.13
    T2  - Journal of Investment and Management
    JF  - Journal of Investment and Management
    JO  - Journal of Investment and Management
    SP  - 113
    EP  - 118
    PB  - Science Publishing Group
    SN  - 2328-7721
    UR  - https://doi.org/10.11648/j.jim.20150404.13
    AB  - In this paper, using fuzzy logic, a model is presented to monitor region wise industrial pollutants in pyrometallurgy industries. The model has been used in a case study that will determine which industry, in which region, producing which and how much pollutants, is ecologically compatible. To assess the ecological compatibility, first, the sets of industries, regions, pollutants and ecology compatibility were defined. Then, to calculate the membership degree of the members of the ecology compatibility set, the membership function of ecology compatibility was defined. By ranking different industries in various regions, producing different pollutants, as continuous figures, the ecological compatibility of these industries was accurately compared. Given the degree of ecological compatibility in a region, the type of pollutant and the related industry, identification of the lowest degree of ecological compatibility was the first priority of this case study. Results of the conducted case study, without considering the region coefficient, show that in December 2005, member C241, with an ecological degree of compatibility equivalent to 0.0559, had the most critical condition in producing carbon dioxide. However, in the same period in 2005, on considering the region coefficient, member C121, with an ecological degree of compatibility equivalent to 0.0655, showed the most critical condition as far the production of carbon dioxide was concerned.
    VL  - 4
    IS  - 4
    ER  - 

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Author Information
  • Department of Engineering, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran

  • Department of Engineering, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran

  • Department of Engineering, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran

  • Department of Engineering, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran

  • Department of Engineering, Bandar Abbas Branch, Islamic Azad University, Bandar Abbas, Iran

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