IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v32y2018i13d10.1007_s11269-018-2052-z.html
   My bibliography  Save this article

Multi Criteria Decision Making in Selecting Stormwater Management Green Infrastructure for Industrial areas Part 2: A Case Study with TOPSIS

Author

Listed:
  • V. M. Jayasooriya

    (Victoria University
    University of Sri Jayewardenepura)

  • S. Muthukumaran

    (Victoria University)

  • A. W. M. Ng

    (Victoria University)

  • B. J. C. Perera

    (Victoria University)

Abstract

The changes of land surface characteristics due to urbanization lead to various environmental problems such as increasing the runoff which can lead to flooding and the poor quality of receiving waters. Among different land uses in urban areas, the industrial areas are highly environmentally degraded land areas which annually discharge high amounts of contaminated stormwater to natural waterways. However, industrial areas plays major role in a country’s economy and therefore it is important to identify optimum strategies to improve the quality of runoff in such areas. Green Infrastructure (GI) practices integrate measures to restore the green space in urban areas and are currently becoming one of the promising strategies around the world as source control measures of stormwater, especially when implemented as treatment trains. For a complex land use like an industrial area, the reality in optimizing GI treatment trains can incorporate several aspects related to environmental, economic and social objectives which are expected of GI through their implementation. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was used in this study to identify compromise optimum treatment train configurations and the sizing combinations of GI treatment trains for a case study industrial area in Melbourne, Australia. Moreover, a sensitivity analysis was performed to validate the results obtained through TOPSIS by considering several weighting schemes for different performance measures. The results of the sensitivity analysis assessed the most sensitive performance measures for the weight changes. The methodology proposed in this study was successful in optimizing both the selection and sizing of a GI treatment train for an industrial area simultaneously.

Suggested Citation

  • V. M. Jayasooriya & S. Muthukumaran & A. W. M. Ng & B. J. C. Perera, 2018. "Multi Criteria Decision Making in Selecting Stormwater Management Green Infrastructure for Industrial areas Part 2: A Case Study with TOPSIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4297-4312, October.
  • Handle: RePEc:spr:waterr:v:32:y:2018:i:13:d:10.1007_s11269-018-2052-z
    DOI: 10.1007/s11269-018-2052-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-018-2052-z
    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/s11269-018-2052-z?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. V. M. Jayasooriya & A. W. M. Ng & S. Muthukumaran & B. J. C. Perera, 2016. "Optimal Sizing of Green Infrastructure Treatment Trains for Stormwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5407-5420, November.
    2. Munda, G. & Nijkamp, P. & Rietveld, P., 1994. "Qualitative multicriteria evaluation for environmental management," Ecological Economics, Elsevier, vol. 10(2), pages 97-112, July.
    3. Majid Montaseri & Mahdi Hesami Afshar & Omid Bozorg-Haddad, 2015. "Development of Simulation-Optimization Model (MUSIC-GA) for Urban Stormwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4649-4665, October.
    4. Martin, C. & Ruperd, Y. & Legret, M., 2007. "Urban stormwater drainage management: The development of a multicriteria decision aid approach for best management practices," European Journal of Operational Research, Elsevier, vol. 181(1), pages 338-349, August.
    5. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    6. Mareschal, Bertrand, 1986. "Stochastic multicriteria decision making and uncertainty," European Journal of Operational Research, Elsevier, vol. 26(1), pages 58-64, July.
    7. Ananda, Jayanath & Herath, Gamini, 2009. "A critical review of multi-criteria decision making methods with special reference to forest management and planning," Ecological Economics, Elsevier, vol. 68(10), pages 2535-2548, August.
    8. Katie Steele & Yohay Carmel & Jean Cross & Chris Wilcox, 2009. "Uses and Misuses of Multicriteria Decision Analysis (MCDA) in Environmental Decision Making," Risk Analysis, John Wiley & Sons, vol. 29(1), pages 26-33, January.
    9. Zanakis, Stelios H. & Solomon, Anthony & Wishart, Nicole & Dublish, Sandipa, 1998. "Multi-attribute decision making: A simulation comparison of select methods," European Journal of Operational Research, Elsevier, vol. 107(3), pages 507-529, June.
    10. Ascough, J.C. & Maier, H.R. & Ravalico, J.K. & Strudley, M.W., 2008. "Future research challenges for incorporation of uncertainty in environmental and ecological decision-making," Ecological Modelling, Elsevier, vol. 219(3), pages 383-399.
    11. Prakash Kaini & Kim Artita & John Nicklow, 2012. "Optimizing Structural Best Management Practices Using SWAT and Genetic Algorithm to Improve Water Quality Goals," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1827-1845, May.
    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. Amirhossein Nazari & Abbas Roozbahani & Seied Mehdy Hashemy Shahdany, 2023. "Integrated SUSTAIN-SWMM-MCDM Approach for Optimal Selection of LID Practices in Urban Stormwater Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3769-3793, July.
    2. Juliana Uribe-Aguado & Sara L. Jiménez-Ariza & María N. Torres & Natalia A. Bernal & Mónica M. Giraldo-González & Juan P. Rodríguez, 2022. "A SUDS Planning Decision Support Tool to Maximize Ecosystem Services," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    3. Lin, Sheng-Hau & Zhao, Xiaofeng & Wu, Jiuxing & Liang, Fachao & Li, Jia-Hsuan & Lai, Ren-Ji & Hsieh, Jing-Chzi & Tzeng, Gwo-Hshiung, 2021. "An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    4. Sabina Kordana-Obuch & Mariusz Starzec, 2020. "Statistical Approach to the Problem of Selecting the Most Appropriate Model for Managing Stormwater in Newly Designed Multi-Family Housing Estates," Resources, MDPI, vol. 9(9), pages 1-20, September.
    5. Suphicha Muangsri & Wendy McWilliam & Gillian Lawson & Tim Davies, 2022. "Evaluating Capability of Green Stormwater Infrastructure on Large Properties toward Adaptive Flood Mitigation: The HLCA+C Methodology," Land, MDPI, vol. 11(10), pages 1-18, October.
    6. Marchetti, Dalmo & Wanke, Peter, 2020. "Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(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. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    2. V. M. Jayasooriya & A. W. M. Ng & S. Muthukumaran & B. J. C. Perera, 2016. "Optimal Sizing of Green Infrastructure Treatment Trains for Stormwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5407-5420, November.
    3. Hojatollah Khedrigharibvand & Hossein Azadi & Dereje Teklemariam & Ehsan Houshyar & Philippe Maeyer & Frank Witlox, 2019. "Livelihood alternatives model for sustainable rangeland management: a review of multi-criteria decision-making techniques," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(1), pages 11-36, February.
    4. Riley, David & Schaafsma, Marije & Marin-Moreno, Héctor & Minshull, Tim A., 2020. "A social, environmental and economic evaluation protocol for potential gas hydrate exploitation projects," Applied Energy, Elsevier, vol. 263(C).
    5. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    6. Janis Edmunds Daugavietis & Raimonda Soloha & Elina Dace & Jelena Ziemele, 2022. "A Comparison of Multi-Criteria Decision Analysis Methods for Sustainability Assessment of District Heating Systems," Energies, MDPI, vol. 15(7), pages 1-23, March.
    7. Andonegi, Aitor & Garmendia, Eneko & Aldezabal, Arantza, 2021. "Social multi-criteria evaluation for managing biodiversity conservation conflicts," Land Use Policy, Elsevier, vol. 109(C).
    8. Karatas, Mumtaz & Sulukan, Egemen & Karacan, Ilknur, 2018. "Assessment of Turkey's energy management performance via a hybrid multi-criteria decision-making methodology," Energy, Elsevier, vol. 153(C), pages 890-912.
    9. Michael B. Wironen & Robert V. Bartlett & Jon D. Erickson, 2019. "Deliberation and the Promise of a Deeply Democratic Sustainability Transition," Sustainability, MDPI, vol. 11(4), pages 1-18, February.
    10. Hegazy Rezk & Basem Alamri & Mokhtar Aly & Ahmed Fathy & Abdul G. Olabi & Mohammad Ali Abdelkareem & Hamdy A. Ziedan, 2021. "Multicriteria Decision-Making to Determine the Optimal Energy Management Strategy of Hybrid PV–Diesel Battery-Based Desalination System," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    11. Baudry, Gino & Macharis, Cathy & Vallée, Thomas, 2018. "Can microalgae biodiesel contribute to achieve the sustainability objectives in the transport sector in France by 2030? A comparison between first, second and third generation biofuels though a range-," Energy, Elsevier, vol. 155(C), pages 1032-1046.
    12. Ferretti, Valentina & Geneletti, Davide, 2020. "Does the spatial representation affect criteria weights in environmental decision-making? Insights from a behavioral experiment," Land Use Policy, Elsevier, vol. 97(C).
    13. Mulliner, Emma & Malys, Naglis & Maliene, Vida, 2016. "Comparative analysis of MCDM methods for the assessment of sustainable housing affordability," Omega, Elsevier, vol. 59(PB), pages 146-156.
    14. Harrison Mutikanga & Saroj Sharma & Kalanithy Vairavamoorthy, 2011. "Multi-criteria Decision Analysis: A Strategic Planning Tool for Water Loss Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3947-3969, November.
    15. Dalton Garcia Borges de Souza & Erivelton Antonio dos Santos & Nei Yoshihiro Soma & Carlos Eduardo Sanches da Silva, 2021. "MCDM-Based R&D Project Selection: A Systematic Literature Review," Sustainability, MDPI, vol. 13(21), pages 1-34, October.
    16. Kucukali, Serhat, 2016. "Risk scorecard concept in wind energy projects: An integrated approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 975-987.
    17. Baudry, Gino & Macharis, Cathy & Vallée, Thomas, 2018. "Range-based Multi-Actor Multi-Criteria Analysis: A combined method of Multi-Actor Multi-Criteria Analysis and Monte Carlo simulation to support participatory decision making under uncertainty," European Journal of Operational Research, Elsevier, vol. 264(1), pages 257-269.
    18. Roger-Monzó, Vanessa & Castelló-Sirvent, Fernando & Teixidó, Eduard Farran, 2023. "Sustainability, fuzzy-set and the hall of fame: Evolving research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    19. Maria Rosaria Guarini & Fabrizio Battisti & Anthea Chiovitti, 2018. "A Methodology for the Selection of Multi-Criteria Decision Analysis Methods in Real Estate and Land Management Processes," Sustainability, MDPI, vol. 10(2), pages 1-28, February.
    20. Sarah Ben Amor & Fateh Belaid & Ramzi Benkraiem & Boumediene Ramdani & Khaled Guesmi, 2023. "Multi-criteria classification, sorting, and clustering: a bibliometric review and research agenda," Annals of Operations Research, Springer, vol. 325(2), pages 771-793, June.

    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_s11269-018-2052-z. 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.