Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97368
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dc.contributorDepartment of Civil and Environmental Engineeringen_US
dc.creatorLabianca, Cen_US
dc.creatorDe Gisi, Sen_US
dc.creatorTodaro, Fen_US
dc.creatorWang, Len_US
dc.creatorTsang, DCWen_US
dc.creatorNotarnicola, Men_US
dc.date.accessioned2023-03-06T01:17:49Z-
dc.date.available2023-03-06T01:17:49Z-
dc.identifier.issn0269-7491en_US
dc.identifier.urihttp://hdl.handle.net/10397/97368-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2021 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Labianca, C., et al. (2021). "A holistic DPSIR-based approach to the remediation of heavily contaminated coastal areas." Environmental Pollution 284: 117129 is available at https://dx.doi.org/10.1016/j.envpol.2021.117129.en_US
dc.subjectEnvironmental health risken_US
dc.subjectMarine sedimentsen_US
dc.subjectMulti-criteria analysisen_US
dc.subjectPollution clean-upen_US
dc.subjectSustainable remediation technologiesen_US
dc.titleA holistic DPSIR-based approach to the remediation of heavily contaminated coastal areasen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume284en_US
dc.identifier.doi10.1016/j.envpol.2021.117129en_US
dcterms.abstractThis paper proposes a holistic approach to connect anthropogenic impacts to environmental remediation solutions. The eDPSIR (engineered-Drivers-Pressures-States-Impacts-Responses) framework aims at supporting the decision-maker in designing technological solutions for a contaminated coastal area, where the natural matrices need to be cleaned up. The eDPSIR is characterized by cause-effect relationships that are operationally implemented through three multidisciplinary toolboxes: (i) Toolbox 1, to connect driving forces with pressures, classifying the state of the system and allowing the identification of target contaminants and the extent of contamination; (ii) Toolbox 2, to quantify bioaccumulation also by identifying corresponding areas; (iii) Toolbox 3, to identify the most suitable remediation solutions for previously identified contaminated areas, named contamination scenarios. The eDPSIR was calibrated on the case study of the Mar Piccolo in Taranto (Southern Italy), one of the most complex and polluted areas in Europe. While the consolidated DPSIR allows for a strategic response by limiting the use of contaminated areas or reducing upstream pressures, the eDPSIR made it possible to structure with a semi-quantitative logic the problem of assisting the decision-makers in choosing the optimal technological remediation responses for each sediment scenario of contamination (heavy metal; organic compounds; mixed). Assisted natural attenuation was identified as the best remediation technology in terms of treatment effectiveness and smallest amount of impacts involved in the project actions. However, considering the scenario of mixed contamination, in-situ reactive capping reached a good rank with a value of the composite indicator equal to 99.5%; thermal desorption and stabilization/solidification recorded a value of 94.1% and 84.6%, respectively. The application of these toolboxes provides alternative means to interpret, manage, and solve different cases of global marine contaminated sites.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnvironmental pollution, 1 Sept. 2021, v. 284, 117129en_US
dcterms.isPartOfEnvironmental pollutionen_US
dcterms.issued2021-09-01-
dc.identifier.scopus2-s2.0-85105831204-
dc.identifier.pmid33915395-
dc.identifier.eissn1873-6424en_US
dc.identifier.artn117129en_US
dc.description.validate202203 bcfcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberCEE-0172-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextSpecial Commissioner of the Italian Government for urgent measures of remediation and environmental requalification of Taranto areaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS51988758-
dc.description.oaCategoryGreen (AAM)en_US
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