IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v32y2018i13d10.1007_s11269-018-2073-7.html
   My bibliography  Save this article

An Entropy-Based Approach to Fuzzy Multi-objective Optimization of Reservoir Water Quality Monitoring Networks Considering Uncertainties

Author

Listed:
  • Shokoufeh Pourshahabi

    (Shiraz University)

  • Mohammad Reza Nikoo

    (Shiraz University)

  • Ehsan Raei

    (Shiraz University)

  • Jan Franklin Adamowski

    (McGill University)

Abstract

In this study, a new fuzzy methodology for a multi-objective optimization of reservoir Water Quality Monitoring Stations (WQMS) was developed, based on Transinformation Entropy (TE), the IRanian Water Quality Index (IRWQI), and fuzzy social choice considering uncertainties. The approach was utilized in the Karkheh Dam reservoir in Iran. The objective functions were: 1) minimizing costs, 2) minimizing redundant information and uncertainties, and 3) maximizing the spatial coverage of the network. A CE-QUAL-W2 model was used for the simulation of water quality variables. The IRWQI was computed to reveal a complete picture of the reservoir water quality. The TE quantities were calculated for each pair of potential stations. The TE values were plotted against the spatial distances among potential WQMS to obtain the TE–Distance (TE–D) curve, and minimize redundant information among stations, while providing coverage of the entire network. A multi-objective Genetic Algorithm (NSGA-II) was applied to obtain Pareto-optimal solutions taking stakeholder preference into account. The most preferred solution was then obtained using fuzzy social choice approaches to achieve a consensus. The fuzziness embedded in the decision-making procedure, the uncertainty in the value of mutual information, and the uncertainty in identifying the optimal distance among WQMS were also investigated. Results indicated that the three fuzzy social choice approaches (Borda Count, Minimax, and Approval Voting) led to the same number of optimized WQMS in each fuzzy alpha-cut. Based on the fuzzy linguistic quantifiers method, the number of optimized WQMS was increased.

Suggested Citation

  • Shokoufeh Pourshahabi & Mohammad Reza Nikoo & Ehsan Raei & Jan Franklin Adamowski, 2018. "An Entropy-Based Approach to Fuzzy Multi-objective Optimization of Reservoir Water Quality Monitoring Networks Considering Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4425-4443, October.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:13:d:10.1007_s11269-018-2073-7
    DOI: 10.1007/s11269-018-2073-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-018-2073-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-018-2073-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Y. Mogheir & J. de Lima & V. Singh, 2009. "Entropy and Multi-Objective Based Approach for Groundwater Quality Monitoring Network Assessment and Redesign," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1603-1620, June.
    2. Shokoufeh Pourshahabi & Nasser Talebbeydokhti & Gholamreza Rakhshandehroo & Mohammad Reza Nikoo, 2018. "Spatio-Temporal Multi-Criteria Optimization of Reservoir Water Quality Monitoring Network Using Value of Information and Transinformation Entropy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3489-3504, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bai, Jing & Zhao, Jian & Zhang, Zhenyu & Tian, Ziqiang, 2022. "Assessment and a review of research on surface water quality modeling," Ecological Modelling, Elsevier, vol. 466(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hedi Mahmoudpour & Somaye Janatrostami & Afshin Ashrafzadeh, 2023. "Optimal Design of Groundwater Quality Monitoring Network Using Aquifer Vulnerability Map," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 797-818, January.
    2. N. Mondal & V. Singh & S. Ahmed, 2012. "Entropy-Based Approach for Assessing Natural Recharge in Unconfined Aquifers from Southern India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2715-2732, July.
    3. Destandau François & Zaiter Youssef, 2020. "Spatio-Temporal Design for a Water Quality Monitoring Network Maximizing the Economic Value of Information to optimize the detection of accidental pollution," Post-Print hal-03373487, HAL.
    4. Xinkang Wang & Changlai Xiao & Xiujuan Liang & Mingqian Li, 2022. "Groundwater Quality Assessment in the Northern Part of Changchun City, Northeast China, Using PIG and Two Improved PIG Methods," IJERPH, MDPI, vol. 19(15), pages 1-17, August.
    5. Shokoufeh Pourshahabi & Nasser Talebbeydokhti & Gholamreza Rakhshandehroo & Mohammad Reza Nikoo, 2018. "Spatio-Temporal Multi-Criteria Optimization of Reservoir Water Quality Monitoring Network Using Value of Information and Transinformation Entropy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3489-3504, August.
    6. Juan Esquivel & Guillermo Morales & María Esteller, 2015. "Groundwater Monitoring Network Design Using GIS and Multicriteria Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3175-3194, July.
    7. Babak Zolghadr-Asli & Omid Bozorg-Haddad & Maedeh Enayati & Xuefeng Chu, 2021. "A review of 20-year applications of multi-attribute decision-making in environmental and water resources planning and management," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14379-14404, October.
    8. Tahoora Sheikhy Narany & Mohammad Ramli & Kazem Fakharian & Ahmad Aris & Wan Sulaiman, 2015. "Multi-Objective Based Approach for Groundwater Quality Monitoring Network Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5141-5156, November.
    9. Demetrios Eliades & Marios Polycarpou & Bambos Charalambous, 2011. "A Security-Oriented Manual Quality Sampling Methodology for Water Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(4), pages 1219-1228, March.
    10. Lior Netzer & Noam Weisbrod & Daniel Kurtzman & Ahmed Nasser & Ellen Graber & Daniel Ronen, 2011. "Observations on Vertical Variability in Groundwater Quality: Implications for Aquifer Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(5), pages 1315-1324, March.
    11. Nafiseh Bahrami & Mohammad Reza Nikoo & Ghazi Al-Rawas & Khalifa Al-Jabri & Amir H. Gandomi, 2023. "Optimal Treated Wastewater Allocation Among Stakeholders Based on an Agent-based Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 135-156, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:32:y:2018:i:13:d:10.1007_s11269-018-2073-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.