A new fuzzy approach in risk assessment with process capability for air pollution

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dc.authoridOturakci, Murat/0000-0001-5946-3964
dc.authoridDerse, Onur/0000-0002-4528-1999
dc.contributor.authorOturakci, Murat
dc.contributor.authorDagsuyu, Cansu
dc.contributor.authorDerse, Onur
dc.date.accessioned2025-01-06T17:36:11Z
dc.date.available2025-01-06T17:36:11Z
dc.date.issued2023
dc.description.abstractToday, the reasons such as the development of technology and industry, the increase in the population and the number of vehicles cause air pollution to increase constantly. Many different components cause air pollution, and increased air pollution poses serious risks to both human health (respiratory distress, eye diseases, physical distress, cancer, etc.) and nature (acid rains). In this study, a new risk analysis approach has been applied for the risks that may occur by considering the component data of SO2, NO2, CO, O-3, and PM(10)causing air pollution from the measurement stations in Ankara, the capital city of Turkey. In this new approach, the integrated risk analysis (RPN with Cp) method has been developed by calculating the Cp values that take into account the spread for the parameter values of the stations. According to the risk assessment results, the most critical hazards were revealed for each component and a fuzzy model was established based on these hazards. With the fuzzy model, risk scores in different ranges are evaluated in a single range and the critical levels of the measurement stations are ranked. According to the results of the study, two of the seven stations are medium-high; two are medium; two of them are medium-low and the remaining one station is placed in the low category. Since the low category is considered as an acceptable risk class in risk analyzes, stations in the medium-high and medium class, which make up 57% of the stations, can be considered critical.
dc.identifier.doi10.1080/15567036.2020.1830203
dc.identifier.endpage369
dc.identifier.issn1556-7036
dc.identifier.issn1556-7230
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85092530140
dc.identifier.scopusqualityQ1
dc.identifier.startpage356
dc.identifier.urihttps://doi.org/10.1080/15567036.2020.1830203
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1795
dc.identifier.volume45
dc.identifier.wosWOS:000578693600001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Inc
dc.relation.ispartofEnergy Sources Part A-Recovery Utilization and Environmental Effects
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectAir pollution
dc.subjectrisk assessment
dc.subjectprocess capability
dc.subjectfuzzy logic
dc.titleA new fuzzy approach in risk assessment with process capability for air pollution
dc.typeArticle

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