A new fuzzy approach in risk assessment with process capability for air pollution. Issue 1 (31st December 2023)

• Record Type: Journal Article
• Authors: Oturakci, Murat; Dagsuyu, Cansu; Derse, Onur
• Is Part Of: Energy sources. Volume 45:Issue 1(2023)
• Page Start: 356
• Page End: 369
• Publication Date: 2023-12-31
• Subjects: Air pollution -- risk assessment -- process capability -- fuzzy logic; Natural resources -- Periodicals; Energy consumption -- Periodicals; Energy consumption -- Climatic factors -- Periodicals; Energy conversion -- Periodicals; Energy conversion -- Environment aspects -- Periodicals; Power (Mechanics) -- Periodicals; 333.7905
• DOI: 10.1080/15567036.2020.1830203
• Languages: English
• ISSNs: 1556-7036

Abstract

ABSTRACT: Today, 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, O3, and PM10 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.