Advertisement

Sustainability Performance Evaluation of Groundwater Remediation Technologies

  • Santoso Wibowo
  • Srimannarayana Grandhi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 721)

Abstract

This paper presents a multicriteria group decision making method for evaluating the sustainability performance of groundwater remediation technologies. Interval-valued based intuitionistic fuzzy numbers are used to deal with the inherent vagueness and imprecision of the performance evaluation process. An efficient algorithm is developed for producing a closeness coefficient for determining the sustainability performance of the most suitable groundwater remediation technology alternative across all evaluation criteria. An example is presented for demonstrating the applicability of the method.

Keywords

Groundwater remediation technologies Vagueness and imprecision Sustainability performance Multicriteria Decision makers 

References

  1. 1.
    An, D., Xi, B., Ren, J., Wang, Y., Jia, X., He, C., Li, Z.: Sustainability assessment of groundwater remediation technologies based on multi-criteria decision making method. Resour. Conserv. Recycl. 119, 36–46 (2017)CrossRefGoogle Scholar
  2. 2.
    Hashim, M.A., Mukhopadhyay, S., Sahu, J.N., Sengupta, B.: Remediation technologies for heavy metal contaminated groundwater. J. Environ. Manage. 92, 2355–2388 (2011)CrossRefGoogle Scholar
  3. 3.
    Pandey, V.P., Shrestha, S., Chapagain, S.K., Kazama, F.: A framework for measuring groundwater sustainability. Environ. Sci. Policy 14, 396–407 (2011)CrossRefGoogle Scholar
  4. 4.
    De Carvalho, S.C.P., Carden, K.J., Armitage, N.P.: Application of a sustainability index for integrated urban water management in Southern African cities: case study comparison - Maputo and Hermanus. Water SA 35, 44–151 (2009)Google Scholar
  5. 5.
    Ren, J., Andreasen, K.P., Sovacool, B.K.: Viability of Hydrogen pathways that enhance energy security: a comparison of China and Denmark. Int. J. Hydrogen Energy 39, 15320–15329 (2014)CrossRefGoogle Scholar
  6. 6.
    Khelifi, O., Lodolo, A., Vranes, S., Centi, G., Miertus, S.: A Web-based decision support tool for groundwater remediation technologies selection. J. Hydro. Inf. 8, 91–100 (2006)Google Scholar
  7. 7.
    An, D., Xi, B., Wang, Y., Xu, D., Tang, J., Dong, L., Ren, J., Pang, C.: A sustainability assessment methodology for prioritizing the technologies of groundwater contamination remediation. J. Clean. Prod. 112, 4647–4656 (2016)CrossRefGoogle Scholar
  8. 8.
    Wibowo, S., Deng, H.: Multi-criteria group decision making for evaluating the performance of e-waste recycling programs under uncertainty. Waste Manage. 40, 127–135 (2015)CrossRefGoogle Scholar
  9. 9.
    Musango, J.K., Brent, A.C., Amigun, B., Pretorius, L., Muller, H.: Technology sustainability assessment of biodiesel development in South Africa: a system dynamics scenario. Energy 36, 6922–6940 (2011)CrossRefGoogle Scholar
  10. 10.
    Cheremisinoff, N.P.: Groundwater Remediation and Treatment Technologies. William Andrew Publishing, USA (1999)Google Scholar
  11. 11.
    Wibowo, S., Deng, H.: Consensus-based decision support for multicriteria group decision making. Comput. Ind. Eng. 66, 625–633 (2013)CrossRefGoogle Scholar
  12. 12.
    Atanassov, K., Gargov, G.: Interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst. 31, 343–349 (1989)MathSciNetCrossRefzbMATHGoogle Scholar
  13. 13.
    Xu, Z.S.: Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control Decis. 22, 215–219 (2007)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.School of Engineering and TechnologyCentral Queensland UniversityMelbourneAustralia

Personalised recommendations