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Hybrid multicriteria decision-making model for process selection for drinking water treatment

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dc.creator Ozgur, Cihan
dc.creator Kaplan Bekaroğlu, Şehnaz Şule
dc.creator Baris, Deniz
dc.date 2024-07-01T00:00:00Z
dc.date.accessioned 2025-02-25T10:36:00Z
dc.date.available 2025-02-25T10:36:00Z
dc.identifier aa7a9a98-77d9-4b8d-aad4-4e7ad29fb50d
dc.identifier 10.1002/ep.14390
dc.identifier https://avesis.sdu.edu.tr/publication/details/aa7a9a98-77d9-4b8d-aad4-4e7ad29fb50d/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/100908
dc.description The overuse of pesticides in agriculture poses significant threats to human health and the environment. This study addresses the issue by proposing a hybrid multi-criteria decision-making (MCDM) method, utilizing the analytic hierarchy process (AHP), to select the most suitable pesticide removal method for drinking water treatment. Focusing on the priority and selection of treatment options for specific pesticide groups, such as diuron and cypermethrin, based on toxicity and physicochemical properties, the study concludes that nanofiltration is best option for diuron removal, while granular activated carbon adsorption is effective for cypermethrin. The innovative hybrid MCDM (AHP + TOPSIS and AHP + VIKOR) approach, unprecedented in assessing pesticide removal methods for drinking water treatment, proves promising in ranking treatment processes for pesticides. The study emphasizes the serious consequences of excessive pesticide use, highlights treatment solutions like NF and GAC adsorption, and introduces cutting-edge hybrid MCDM techniques for selection treatment process that meet technical, economical, and environmental requirements. All of these factors combine to provide a novel approach not only used to select the best option from alternatives, but also to prioritize alternative processes in drinking water treatment at pesticide removal practices.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Hybrid multicriteria decision-making model for process selection for drinking water treatment
dc.type info:eu-repo/semantics/article


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