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Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal


Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

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Soil Remediation Environmental Decision Support System Based on AHPPROMETHEE II Approach

Journal of Environmental Accounting and Management 3(3) (2015) 275--283 | DOI:10.5890/JEAM.2015.09.006

Tao Xie$^{1}$,$^{2}$, Reti Hai$^{1}$, Xiangchun Quan$^{3}$, Anjie Li$^{3}$, Rui Liu$^{2}$, Yaxin Chen$^{2}$

$^{1}$ Beijing Engineering Research Center of Environmental Material for Water Purification, Beijing University of Chemical Technology, Beijing, China

$^{2}$ Institute of Resources and Environment Science, Mapuni, Beijing, China

$^{3}$ Key Laboratory of Water and Sediment Sciences of Ministry of Education/State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China

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Multi-criteria analysis was used to compare technology solutions for 3 Selection of soil remediation technologies for contaminated sites is difficult given the large number of technologies available and the economic, social, and environmental impacts of site remediation activities. In this paper, we take into account a multitude of consequences and analyze their impacts with multi-criteria utility theory. By establishing the AHPPROMETHEE II (Analytic Hierarchy Process-Preference Ranking Organization Method for Enrichment Evaluations II) method, an Environmental Decision Support System (EDSS) has been developed for the purpose of identifying optimum soil remediation approaches for contaminated site. In the EDSS, AHP is used to structure the decision problem and to attribute weights to the criteria, whereas PROMETHEE is used to obtain a final ranking of the proposed alternatives. In addition, the hierarchical decision tree was constructed according to 4 criteria, i.e., time and economic costs, technical levels, technical applicability and social benefits, 12 indicators, and 21 soil remediation alternatives. The system has been applied to a case study, in which the best option of soil remediation technology for the particular remediation goal could be achieved. The effectiveness and shortcomings of this system are also discussed.


This work was supported by a Grant from the National High-Tech Research and Development (863) Programme of China (No. 2009AA06A41803). The authors appreciate the helpful comments given by editors and anonymous reviewers over this paper.


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