A Systematic Approach to Using A Fuzzy Inference System and Comparing it With Multi-criteria Decision- Making Techniques for Environmental Management of Crude Oil Contaminated Soils in an Oil Pump Station
محل انتشار: مجله آرشیو علوم بهداشتی، دوره: 11، شماره: 1
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 204
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شناسه ملی سند علمی:
JR_AHS-11-1_004
تاریخ نمایه سازی: 2 مرداد 1401
چکیده مقاله:
.Background & Aims of the Study: Oil pollution has a significant impact on soil properties.
There are various physical, chemical, biological, or a combination of these methods to deal with
it. An important challenge in managing oil-contaminated soils is choosing the ideal method (s)
to deal with them. Different methods have been used for decision-making, but can the fuzzy
inference engine be used in environmental decisions? The present study investigated the
efficiency of a fuzzy inference system for environmental management of crude oil contaminated
soils in an oil pump station in southwestern Iran in ۲۰۱۹.
Materials and Methods: Four soil samples were taken to identify the current situation of oil
pollution in the study area. Factors, such as the extent of pollution, duration of pollution, climatic,
geographical, and biological properties, and the type of soil used in the study area were also
determined. Seventeen methods to deal with oil pollution in the soil were identified. Based on the
data type, Mamdani fuzzy method was used. For input data, the triangular membership function
used the maximum-minimum combination of operators in the inference step, and the Center of
Gravity (COG) method was used for defuzzification.
Results: Based on the results of the fuzzy method, land farming with a membership of ۰.۰۷۱ to
a completely desirable set, the best method to deal with oil polution in the soil was determined.
Conclusion: The results of this study and its overlap with other methods of prioritizing options
in managerial decisions showed that the fuzzy inference engine could be used as an intelligent
system for prioritizing options and decision-making.
کلیدواژه ها:
نویسندگان
علی شفیعی
Department of Environmental Science, Khouzestan Science and Research Branch, Islamic Azad University, Ahvaz, Iran.
نعمت الله جعفرزاده حقیقی فرد
Supervisor, Department of Environmental Science, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
سید مسعود منوری
Department of Environmental Science, Science and Research Branch, Islamic Azad University, Tehran, Iran
سیما سبز علی پور
Department of Environmental Science, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
حسین فتحیان
Department of Water Resources Engineering, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
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