Comparison of multi-criteria analysis methodologies for the prioritization of arsenic-contaminated sites in the southwest of China

The issue of contaminated sites has been highlighted as an immediate priority in the 13th Five-Year Plan of China. Identification and prioritization of contaminated sites are of key importance for proposing effective strategies for the regional management of contaminated sites. In this study, three...

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Bibliographic Details
Published in:Environmental science and pollution research international 2019-04, Vol.26 (12), p.11781-11792
Main Authors: Chen, Ruihui, Xiong, Yanna, Li, Jiao, Teng, Yanguo, Chen, Haiyang, Yang, Jie
Format: Article
Language:English
Subjects:
Agricultural land
Aquatic Pollution
Arsenic
Atmospheric Protection/Air Quality Control/Air Pollution
Brownfields
Contaminants
Contamination
Earth and Environmental Science
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Environmental science
Identification methods
Methodology
Multiple criterion
Regional analysis
Research Article
Residential areas
Risk assessment
Screening
Service life
Waste Water Technology
Water Management
Water Pollution Control
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Summary:The issue of contaminated sites has been highlighted as an immediate priority in the 13th Five-Year Plan of China. Identification and prioritization of contaminated sites are of key importance for proposing effective strategies for the regional management of contaminated sites. In this study, three advanced multi-attribute methodologies, the risk-based priority methodology, the regional risk assessment methodology, and the dominance-based rough set approach (DRSA), were comparatively employed to screen contaminated sites in, Guangxi, Southwest of China. The results of the three prioritizations show that the highest ranking site identified by the three methods had great agreement. In regard to the screening attributers, while the risk-based prioritization methodology and regional risk assessment methodology allowed a high discrimination in the screening of contaminated sites associated with different attributes, such as farmland, residential areas, contaminant level, number of people, area, storage quality, site service life, and surrounding communities, the DRSA allowed the identification of contamination strength (CS) and contamination potential (CP).
ISSN:0944-1344
1614-7499
DOI:10.1007/s11356-019-04642-z