Assessment of Environmental and Health Risks of the Chemical Industry by Applying Fuzzy Logic: A Case Study in South Tehran, Iran
- سال انتشار: 1401
- محل انتشار: مجله انسان، محیط زیست و ارتقاء سلامت، دوره: 8، شماره: 3
- کد COI اختصاصی: JR_JHEHP-8-3_005
- زبان مقاله: انگلیسی
- تعداد مشاهده: 435
نویسندگان
Department of Environmental Sciences and Engineering, Islamic Azad University, Rudehen Branch, Rudehen, Iran.
Faculty of Environmental Sciences, Department of Environmental Sciences and Engineering, Islamic Azad University, Rudehen Branch, Rudehen, Iran.
Faculty of Environmental Sciences, Department of Environmental Sciences and Engineering, Islamic Azad University, Rudehen Branch, Rudehen, Iran.
Faculty of Environmental Sciences, Department of Environmental Sciences and Engineering, Islamic Azad University, Rudehen Branch, Rudehen, Iran.
چکیده
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.کلیدواژه ها
Risk Management, Environment, Health Risks, Chemical Industry, Fuzzy-FMEA, مدیریت ریسک, محیط زیست, صنایع شیمیایی, FUUZY-FMEAاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.