187
Views
7
CrossRef citations to date
0
Altmetric
Articles

Identifying optimal groundwater remediation strategies through a simulation-based PROMETHEE-TOPSIS approach: An application to a naphthalene-contaminated site

, &
Pages 1550-1568 | Received 22 Jan 2019, Accepted 04 Mar 2019, Published online: 27 Mar 2019

References

  • An D, Xi B, Ren J. et al. 2016. Sustainability assessment of groundwater remediation technologies based on multi-criteria decision making method. Resour Conserv Recy 119:36–46
  • Ananda J, and Herath G. 2009. A critical review of multi-attributes decision making methods with special reference to forest management and planning. Ecol Econ 68:2535–48.
  • Borden RC, and Bedient PB. 1986. Transport of dissolved hydrocarbons influenced by oxygen-limited biodegradation: 1. Theoretical development. Water Resour Res 22:1973–82.
  • Bozdağ CE, Kahraman C, and Ruan D. 2003. Fuzzy group decision making for selection among computer integrated manufacturing systems. Comput Ind 51:13–29.
  • Brans JP, and Vincke P. 1985. A preference ranking organization method. Manage Sci 6:647–56.
  • Brans JP, Vincke P, and Mareschal B. 1986. How to select and how to rank projects: The PROMETHEE method. Eur J Oper Res 24:228–38.
  • Dresel PE, Wellman DM, Cantrell KJ, and Truex MJ. 2011. Review: Technical and policy challenges in deep vadose zone remediation of metals and radionuclides. Environ Sci Technol 45:4207–16.
  • Fan X, He L, Lu HW, et al. 2014. Environmental-and health-risk-induced remediation design for benzene-contaminated groundwater under parameter uncertainty: a case study in Western Canada. Chemosphere 111:604–612.
  • Fan X, He L, Lu H-W, and Li J. 2015. Design of optimal groundwater remediation systems under flexible environmental-standard constraints. Environ Sci Pollut Res Int 22:1008–19.
  • Fonkwe MLD, and Trapp S. 2016. Analyzing tree cores to detect petroleum hydrocarbon-contaminated groundwater at a former landfill site in the community of Happy Valley-Goose Bay, eastern Canadian subarctic. Environ Sci Pollut Res 23:16137–51.
  • Hamby DM. 1996. Site remediation techniques supporting environmental restoration activities – A review. Sci Total Environ 191:203–24.
  • Hatefi SM, and Tamošaitienė J. 2018. Construction projects assessment based on the sustainable development criteria by an integrated fuzzy AHP and improved GRA model. Sustainability 10:991.
  • Herath G. 2004. Incorporating community objectives in improved wetland management: the use of the analytic hierarchy process. J Environ Manage 70:263–73.
  • Hwang CL, and Yoon K. 1981. Multiple attribute decision making, methods and applications .
  • Huang IB, Keisler J, and Linkov I. 2011. Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends. Sci Total Environ 409:3578–94.
  • Ishizaka A, and Labib A. 2011. Review of the main developments in the analytic hierarchy process. Expert Syst Appl 38:14336–45.
  • Iqbal J, and Shah MH. 2013. Health risk assessment of metals in surface water from freshwater source lakes, Pakistan. Hum Ecol Risk Assess 19:1530–43.
  • James CA, Xin G, Doty SL, et al. 2009. A mass balance study of the phytoremediation of perchloroethylene-contaminated groundwater. Environ Pollut 157:2564–9.
  • Kangas J, Kangas A, Leskinen P, et al. 2001. MCDM methods in strategic planning of forestry on state-owned lands in Finland: Applications and experiences. J Multi-Crit Decis Anal 10:257–71.
  • Khelifi O, Lodolo A, Vranes S, et al. 2006. A web-based decision support tool for groundwater remediation technologies selection. J Hydroinform 8:91–100.
  • Li J, He L., Chen YZ, et al. 2017. A bilevel groundwater management model with minimization of stochastic health risks at the leader level and remediation cost at the follower level. Stoch Environ Res Risk Assess 31:2547–2571.
  • Li J, He L, Lu HW, et al. 2014. Stochastic goal programming based groundwater remediation management under human-health-risk uncertainty. J Hazard Mater 279:257–67.
  • Li J, Lu HW, Fan X, et al. 2017. Human health risk constrained naphthalene contaminated groundwater remediation management through an improved credibility method. Environ Sci Pollut Res 24:16120–36.
  • Li JB, Rahman MH, and Thring RW. 2010. A fuzzy multi-attributes decision analysis approach for the management of petroleum-contaminated sites. IJEP 42:220–39.
  • Liu L, Cheng SY, and Guo HC. 2004. A simulation-assessment modeling approach for analyzing environmental risks of groundwater contamination at waste landfill sites. Hum Ecol Risk Assess 10:373–88.
  • Lu HW, Feng M, He L, et al. 2015. Optimization-based multiattributes decision analysis for identification of desired petroleum-contaminated groundwater remediation strategies. Environ Sci Pollut Res 22:9505–14.
  • Lu HW, Li J, Chen YZ, et al. 2019. A multi-level method for groundwater remediation management accommodating non-competitive objectives. J Hydrol 570:531–543.
  • Lu HW, Ren LX, Chen YZ, et al. 2017. A cloud model based multiattribute decision making approach for selection and evaluation of groundwater management schemes. J Hydrol 555:881–893.
  • Macharis C, Springael J, De Brucker K, et al. 2004. PROMETHEE and AHP: The design of operational synergies in multiattributes analysis. Strengthening PROMETHEE with ideas of AHP. Eur J Oper Res 153:307–17.
  • Manamsa K, Crane E, Stuart M, et al. 2016. A national-scale assessment of micro-organic contaminants in groundwater of England and Wales. Sci Total Environ 568:712–26.
  • MEP (Ministry of Environmental Protection of the People’s Republic of China). 2009. Technical guidelines for risk assessment of contaminated sites (draft for comment). Ministry of Environmental Protection of the People's Republic of China, Beijing.
  • Nam K, Jho EH, and Lee JY. 2013. Risk assessment of environmental pollutants in Korea for soil and groundwater remediation. Hum Ecol Risk Assess 19:723.
  • Nambi IM, Rajasekhar B, Loganathan V, et al. 2017. An assessment of subsurface contamination of an urban coastal aquifer due to oil spill. Environ Monit Assess 189:148.
  • Orloff KG, Mistry K, Charp P, et al. 2004. Human exposure to uranium in groundwater. Environ Res 94:319–26.
  • Pena-Haro S, Pulido-Velazquez M, and Llopis-Albert C. 2011. Stochastic hydro-economic modeling for optimal management of agricultural groundwater nitrate pollution under hydraulic conductivity uncertainty. Environ Model Softw 26:999–1008.
  • Penadés-Plà V, García-Segura T, Martí JV, et al. 2016. A review of multi-criteria decision-making methods applied to the sustainable bridge design. Sustainability 8:1295.
  • Rasool A, Farooqi A, Masood S, et al. 2016. Arsenic in groundwater and its health risk assessment in drinking water of Mailsi, Punjab, Pakistan. Hum Ecol Risk Asses 22:187–202. doi: 10.1080/10807039.2015.1056295
  • Reddy KR, and Cameselle C. 2009. Electrochemical Remediation Technologies for Polluted Soils, Sediments and Groundwater. John Wiley & Sons Inc., Hoboken, NJ.
  • Ren LX, Lu HW, Zhao HH, et al. 2018. An interval-valued triangular fuzzy modified multi-attribute preference model for prioritization of groundwater resources management. J Hydrol 562:335–345.
  • Sadeghfam S, Hassanzadeh Y, Khatibi R, et al. 2019. Groundwater remediation through pump-treat-inject technology using optimum control by artificial intelligence (OCAI). Water Resour Manage 33:1123–45. doi.10.1007/s11269-018-2171-6
  • Sener E, and Davraz A. 2013. Assessment of groundwater vulnerability based on a modified DRASTIC model, GIS and an analytic hierarchy process (AHP) method: The case of Egirdir Lake basin (Isparta, Turkey). Hydrogeol J 21:701–14.
  • Yang AL, Huang GH, Qin XS, et al. 2012. Evaluation of remedial options for a benzene-contaminated site through a simulation-based fuzzy-MCDA approach. J Hazard Mater 213-214:421–33.
  • Zhang K, Kluck C, and Achari G. 2009. A comparative approach for ranking contaminated sites based on the risk assessment paradigm using fuzzy PROMETHEE. Environ Manage 44:952–67.
  • Zhao R, Su H, Chen X, et al. 2016. Commercially available materials selection in sustainable design: An integrated multi-attribute decision making approach. Sustainability 8:79.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.