Quantitative sustainability assessment and application of remediation technologies for heavy metal-contaminated sites based on multi-criteria decision-making method

To address the lack of comprehensiveness and specificity in existing sustainability assessment systems for heavy metal contaminated site remediation, this study proposes a decision-making method based on the AHP-MOGA-CS-TOPSIS coupling model. The sustainability assessment of heavy metal-contaminated site remediation technologies is based on four types of indicators, namely, environmental (EN), economic (EC), social (SO), and effective (EF). The technique for order preference by similarity to ideal solution (TOPSIS) is innovatively applied to prioritize the alternatives by combining Analytical Hierarchy Process (AHP), Cosine Similarity (CS), and Multi-objective Genetic Algorithm (MOGA). In order to validate the methodology, three techniques [Cement Kiln Co-processing (CKC), Situ Ectopic-chemical Washing (ICW), and Situ Ectopic-chemical Stabilization (ICS)] were investigated. Sustainability scores were 0.76, 0.84, and 0.64, respectively. The uncertainty and sensitivity results showed that the proposed methodology is feasible for stakeholders and decision-makers considering the remediation of heavy metal-contaminated sites. The cases show that ICS is the most sustainable remediation option, and ICS has the lowest carbon emissions (1.52×10^7 kg CO 2 eq ); thus, ICS has the best sustainability and the lowest carbon emission. The correlation between carbon emissions and sustainability results was 0.84, and although carbon emissions do not fully describe the sustainability of restoration techniques, they can indicate the sustainability ranking of remediation techniques. This study provides new insights for the sustainable remediation of heavy metal-contaminated sites and synergize with the dual carbon goals. • Remediation effective was covered in the assessment indicators system. • A sustainability assessment indicators system for HM-contaminated soil was developed. • A sustainability assessment framework AHP-MOGA-CS-TOPSIS model was established. • In situ ectopic-chemical stabilization is sustainability in typical remediation case.

Authors

Institutions

Publication Details

Journal
Environmental Technology & Innovation
Published
2026-03-13
DOI
https://doi.org/10.1016/j.eti.2026.104860
Primary Topic
Electrokinetic Soil Remediation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative sustainability assessment and application of remediation technologies for heavy metal-contaminated sites based on multi-criteria decision-making method

Guo Guanlin, Li Yuanyuan, Wang Shunyang, Fu Haihui et al.
Environmental Technology & Innovation
Electrokinetic Soil Remediation Techniques
article

Quantitative sustainability assessment and application of remediation technologies for heavy metal-contaminated sites based on multi-criteria decision-making method

Guo Guanlin, Li Yuanyuan, Wang Shunyang, Fu Haihui, Xia Fang, Wu Kening, Zhang Zhuo
article en

Abstract

To address the lack of comprehensiveness and specificity in existing sustainability assessment systems for heavy metal contaminated site remediation, this study proposes a decision-making method based on the AHP-MOGA-CS-TOPSIS coupling model. The sustainability assessment of heavy metal-contaminated site remediation technologies is based on four types of indicators, namely, environmental (EN), economic (EC), social (SO), and effective (EF). The technique for order preference by similarity to ideal solution (TOPSIS) is innovatively applied to prioritize the alternatives by combining Analytical Hierarchy Process (AHP), Cosine Similarity (CS), and Multi-objective Genetic Algorithm (MOGA). In order to validate the methodology, three techniques [Cement Kiln Co-processing (CKC), Situ Ectopic-chemical Washing (ICW), and Situ Ectopic-chemical Stabilization (ICS)] were investigated. Sustainability scores were 0.76, 0.84, and 0.64, respectively. The uncertainty and sensitivity results showed that the proposed methodology is feasible for stakeholders and decision-makers considering the remediation of heavy metal-contaminated sites. The cases show that ICS is the most sustainable remediation option, and ICS has the lowest carbon emissions (1.52×10^7 kg CO 2 eq ); thus, ICS has the best sustainability and the lowest carbon emission. The correlation between carbon emissions and sustainability results was 0.84, and although carbon emissions do not fully describe the sustainability of restoration techniques, they can indicate the sustainability ranking of remediation techniques. This study provides new insights for the sustainable remediation of heavy metal-contaminated sites and synergize with the dual carbon goals. • Remediation effective was covered in the assessment indicators system. • A sustainability assessment indicators system for HM-contaminated soil was developed. • A sustainability assessment framework AHP-MOGA-CS-TOPSIS model was established. • In situ ectopic-chemical stabilization is sustainability in typical remediation case.

Environmental Technology & InnovationVol. 42
Ministry of Ecology and Environment (CN), Ministry of Natural Resources (CN), China University of Geosciences (Beijing) (CN), China Academy of Railway Sciences (CN), Land Consolidation and Rehabilitation Center (CN), Nanjing Institute of Environmental Sciences (CN)
Openalex Percentile: Top 24%
Electrokinetic Soil Remediation Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.