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

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.

KEYWORDS:

• Air pollution
• risk assessment
• process capability
• fuzzy logic

Additional information

Notes on contributors

Murat Oturakci

Dr. Murat Oturakci was born in 1985, received his MSc in 2010 from California State Univesity-East Bay and his Ph.D. degree in 2016 from the Department of Industrial Engineering of Cukurova University. He is currently an Assistant Professor in the Department of Industrial Engineering of Adana Alparslan Türkeş Science and Technology University. His research interests include risk analysis and innovation management.

Cansu Dagsuyu

Dr. Cansu Dagsuyu was born in 1988, received her MSc in 2013 and her Ph.D. from the Department of Industrial Engineering of Cukurova University. She is currently an Assistant Professor in the Department of Industrial Engineering of Adana Alparslan Türkeş Science and Technology University. Her research interests include risk analysis, operation research, simulation, and manufacturing process.

Onur Derse

Onur Derse was born in 1993, received his MSc in 2017 from the Department of Industrial Engineering of Cukurova University and he is a Ph.D. student in the same department. He is currently a Lecturer in the Department of Management and Organization of Tarsus University. His research interests include risk analysis, renewable energy, production planning and simulation.