Sustainability and capability-based assessment of marine oil spill response technologies using a decision support system under decomposed fuzzy set.

Marine oil spills are a practically challenging environmental occurrence to remediate. The critical stage of managing marine oil spills is choosing an appropriate response technology. This research implements a novel sustainability and capability policy-oriented decision support system (DSS) and the decomposed fuzzy set-based ORESTE model. First, an integrated criteria system on the basis of the sustainability and capability aspects is employed by considering four social, environmental, economic, and capability dimensions. Second, the ORESTE model under the decomposed fuzzy environment is extended to deal with the uncertainty data, evaluate the conflicts between the candidate alternatives, and choose the optimal scenario. Seven technologies of bioremediation, solidifiers, dispersants, adsorbents, in situ burning, booms, and skimmers for remediating oil spills in the Persian Gulf, Iran, have been assessed. The assessment results indicate that the bioremediation technology is the optimal scenario for the oil spill-contaminated sites management and the suggested DSS is feasible and applicable.

Sustainability prioritization of technologies for cleaning up soils polluted with oil and petroleum products: A decision support system under complex spherical fuzzy environment.

The transition towards a sustainable land management (SLM) needs for utilizing appropriate technologies for controlling soil pollution, and ensures the development of environmental, economic, technical, and social dimensions in region. Using these technologies for cleaning up soils polluted with oil and petroleum products in Behbahan city (in the southwest of Iran) is considered. The soil pollution control technologies (SPCTs) can assist local authorities, governments, investors, and developers to reduce climate change, mitigate soil, water, and air pollution and construct the sustainable communities. With the aim of balance between the issues in the context of sustainability policy, criteria (principles) including environmental, economic, technical, and social aspects are considered. The research takes into consideration the applicability of a novel multi-criteria decision-making approach namely complex spherical fuzzy set-based CODAS (Combinative distance-based assessment). The approach can be used to choose the suitable technology in a sustainable mode, considering the principles related to sustainability pillars. It comprises various technologies for soil pollution control and prioritizes technologies from the most to least as: Biorestoration technology, Excavation technology, Soil venting technology, Soil flushing, and Hydraulic barriers technology.