Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods
The production and use of organochlorine pesticides (OCPs) for agricultural and industrial applications result in high levels of their residues, posing a significant risk to environmental and human health. At present, there are many techniques for OCP-contaminated soil remediation. However, the reme...
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doaj-981c616ddc5b4eb28a4246299fb8cd642020-11-25T01:16:08ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012019-05-011611188810.3390/ijerph16111888ijerph16111888Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making MethodsJunping Tian0Zheng Huo1Fengjiao Ma2Xing Gao3Yanbin Wu4GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, ChinaSchool of Information Technology, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, ChinaGIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, ChinaGIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, ChinaGIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, ChinaThe production and use of organochlorine pesticides (OCPs) for agricultural and industrial applications result in high levels of their residues, posing a significant risk to environmental and human health. At present, there are many techniques for OCP-contaminated soil remediation. However, the remediation of contaminated sites may suffer from a series of problems, such as a long recovery cycle, high costs, and secondary pollution, all of which could affect land redevelopment and reuse. Therefore, the selection of an appropriate technology is crucial for contaminated sites. In order to improve and support decision-making for the selection of remediation techniques, we provide a decision-making strategy for the screening of remediation techniques of OCP-contaminated sites. The screening procedure is proposed based on combining the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS). The screening indexes include economic indicator, environmental indicator, and technical indicator. The assessment results show that co-processing in cement kiln obtained the highest overall score and was thus considered to be the most sustainable option. This suggested remediation technology was similar to the practical remediation project, indicating that the screening method could be applied for the selection of remediation technologies for sites contaminated with persistent organic pollutants.https://www.mdpi.com/1660-4601/16/11/1888organochlorine pesticidescontaminated site remediationanalytic hierarchy processtechnique for order preference by similarity to ideal solutionpersistent organic pollutants |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Junping Tian Zheng Huo Fengjiao Ma Xing Gao Yanbin Wu |
spellingShingle |
Junping Tian Zheng Huo Fengjiao Ma Xing Gao Yanbin Wu Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods International Journal of Environmental Research and Public Health organochlorine pesticides contaminated site remediation analytic hierarchy process technique for order preference by similarity to ideal solution persistent organic pollutants |
author_facet |
Junping Tian Zheng Huo Fengjiao Ma Xing Gao Yanbin Wu |
author_sort |
Junping Tian |
title |
Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods |
title_short |
Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods |
title_full |
Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods |
title_fullStr |
Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods |
title_full_unstemmed |
Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods |
title_sort |
application and selection of remediation technology for ocps-contaminated sites by decision-making methods |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1660-4601 |
publishDate |
2019-05-01 |
description |
The production and use of organochlorine pesticides (OCPs) for agricultural and industrial applications result in high levels of their residues, posing a significant risk to environmental and human health. At present, there are many techniques for OCP-contaminated soil remediation. However, the remediation of contaminated sites may suffer from a series of problems, such as a long recovery cycle, high costs, and secondary pollution, all of which could affect land redevelopment and reuse. Therefore, the selection of an appropriate technology is crucial for contaminated sites. In order to improve and support decision-making for the selection of remediation techniques, we provide a decision-making strategy for the screening of remediation techniques of OCP-contaminated sites. The screening procedure is proposed based on combining the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS). The screening indexes include economic indicator, environmental indicator, and technical indicator. The assessment results show that co-processing in cement kiln obtained the highest overall score and was thus considered to be the most sustainable option. This suggested remediation technology was similar to the practical remediation project, indicating that the screening method could be applied for the selection of remediation technologies for sites contaminated with persistent organic pollutants. |
topic |
organochlorine pesticides contaminated site remediation analytic hierarchy process technique for order preference by similarity to ideal solution persistent organic pollutants |
url |
https://www.mdpi.com/1660-4601/16/11/1888 |
work_keys_str_mv |
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