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Assessment of Environmental and Health Risks of the Chemical Industry by Applying Fuzzy Logic: A Case Study in South Tehran, Iran

عنوان مقاله: Assessment of Environmental and Health Risks of the Chemical Industry by Applying Fuzzy Logic: A Case Study in South Tehran, Iran
شناسه ملی مقاله: JR_JHEHP-8-3_005
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:

حسن عزیزی - Department of Environmental Sciences and Engineering, Islamic Azad University, Rudehen Branch, Rudehen, Iran.
مینا مکی آل آقا - Faculty of Environmental Sciences, Department of Environmental Sciences and Engineering, Islamic Azad University, Rudehen Branch, Rudehen, Iran.
بیتا آزاد بخت - Faculty of Environmental Sciences, Department of Environmental Sciences and Engineering, Islamic Azad University, Rudehen Branch, Rudehen, Iran.
حسن صمدیار - Faculty of Environmental Sciences, Department of Environmental Sciences and Engineering, Islamic Azad University, Rudehen Branch, Rudehen, Iran.

خلاصه مقاله:
Background: Chemical industries in southern Tehran are one of the largest ones in Iran, requiring organized environmental risk management. Failure Modes and Effects Analysis (FMEA) can effectively decrease the risk of failure in industrial systems and processes. This case study aimed to apply the fuzzy logic approach for assessing environmental risks in chemical industries. Methods: The present cross-sectional analytical study formed an assessment team to use their expert opinion collected as Z number. Each identified risk factor (severity, occurrence, detection) was weighted using the fuzzy analytical hierarchy process and prioritized the failure modes. Results: Based on the results, ۵۲.۹۴ % of the identified environmental risks were moderate, ۳۵.۲۹ % were high-level, and ۱۱.۷۶ % were low-level risks. The main risks were occupational, health, safety, and environmental, leading to a decrease in the quality of environmental parameters, including air, water, and soil. Conclusion: The proposed fuzzy and FMEA methods removed the problem of homogeneity of risk factor weights, data uncertainty, and prioritization of failure modes, which had a higher potential in prioritizing risks compared to the conventional FMEA methods. Additionally, the proposed model can identify risks and their roots, leading to accurate risk control tools.

کلمات کلیدی:
Risk Management, Environment, Health Risks, Chemical Industry, Fuzzy-FMEA, مدیریت ریسک, محیط زیست, صنایع شیمیایی, FUUZY-FMEA

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1600217/