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Screening of groundwater remedial alternatives for brownfield sites: a comprehensive method integrated MCDA with numerical simulation

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Abstract

Brownfield sites pollution and remediation is an urgent environmental issue worldwide. The screening and assessment of remedial alternatives is especially complex owing to its multiple criteria that involves technique, economy, and policy. To help the decision-makers selecting the remedial alternatives efficiently, the criteria framework conducted by the U.S. EPA is improved and a comprehensive method that integrates multiple criteria decision analysis (MCDA) with numerical simulation is conducted in this paper. The criteria framework is modified and classified into three categories: qualitative, semi-quantitative, and quantitative criteria, MCDA method, AHP-PROMETHEE (analytical hierarchy process-preference ranking organization method for enrichment evaluation) is used to determine the priority ranking of the remedial alternatives and the solute transport simulation is conducted to assess the remedial efficiency. A case study was present to demonstrate the screening method in a brownfield site in Cangzhou, northern China. The results show that the systematic method provides a reliable way to quantify the priority of the remedial alternatives.

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Acknowledgements

The authors would greatly thank Prof. Bertrand Mareschal (Université Libre de Bruxelles) who provides the Visual PROMETHEE (academic edition), and the authors are grateful to the editors and the anonymous reviewers for their constructive comments and suggested revisions.

Funding

This work was financially supported by the National Environmental Protection Public Welfare Industry Targeted Research Fund, People’s Republic of China (NO.201309003) and the National Natural Science Foundation of China (NSFC) (NO. 41702276).

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Authors and Affiliations

  1. Shenzhen Academy of Environmental Sciences, Shenzhen, China

    Wei Li

  2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

    Wei Li, Min Zhang & Mingyu Wang

  3. Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Hebei, China

    Min Zhang & Zhantao Han

  4. Beijing Institute of Hydrogeology and Engineering Geology, Beijing, China

    Jiankai Liu & Zhezhou Chen

  5. School of Environment, Tsinghua University, Beijing, China

    Bo Liu

  6. College of Environmental Science and Engineering, Liaoning Technical University, Liaoning, China

    Yan Yan & Zhu Liu

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  3. Mingyu Wang
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  4. Zhantao Han
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Corresponding author

Correspondence to Wei Li.

Additional information

Responsible editor: Marcus Schulz

Software availability

1. Name: Groundwater modeling system (GMS)

Developers: Aquaveo, LLC, Provo, Utah 84,604, USA

Operation system: Windows XP, Vista, 7, 8/8.1, 10

The latest versions: GMS 10.2.4 (released on Match 2017)

Availability: Contact the developers (http://www.aquaveo.com/downloads.)

2. Name: Visual PROMETHEE

Developers: Prof. Bertrand Mareschal (bmaresc@ulb.ac.be), Solvay Brussels School of Economics & Management, Centre Emile Bernheim-Department of Quantitative Methods, Université Libre de Bruxelles, Belgium

Operation system: Windows XP, Vista, 7, 8 and later

The latest versions: Visual PROMETHEE 1.4 (Academic Edition, released on September 2013)

Availability: Contact the developers (http://www.promethee-gaia.net/software.html.)

3. Name: ArcGIS

Developers: ESRI, Inc. 380 New York Street, Redlands, CA 92373, USA

Operation system: Windows 7, 8.1, 10

The latest versions: ArcGIS 10.5 (released on December 2016)

Availability: Contact the developers (http://www.esri.com.)

Highlights

• Human health risk assessment, MCDA method, and numerical simulation are integrated for groundwater remedial alternatives selection.

• An improved screening criteria framework is proposed and classified.

• Criteria weights have strong impacts on ranking the priority scores of remedial alternatives.

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Li, W., Zhang, M., Wang, M. et al. Screening of groundwater remedial alternatives for brownfield sites: a comprehensive method integrated MCDA with numerical simulation. Environ Sci Pollut Res 25, 15844–15861 (2018). https://doi.org/10.1007/s11356-018-1721-z

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  • DOI: https://doi.org/10.1007/s11356-018-1721-z

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