Modeling environmental air quality assessment using fuzzy logic in the Pars Special Economic Energy Zone (Case study: Assaluyeh, Bidkhon and Shirino regions)

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SARKHEIL HAMID; AZIMI YOUSEF; RAHBARI SHAHROKH

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Journal: JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY Year:2019 | Volume:20 | Issue:4 (79) Page(s): 1-16

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Title

Modeling environmental air quality assessment using fuzzy logic in the Pars Special Economic Energy Zone (Case study: Assaluyeh, Bidkhon and Shirino regions)

Author(s)

SARKHEIL HAMID | AZIMI YOUSEF | RAHBARI SHAHROKH | Issue Writer Certificate

Keywords

Fuzzy LogicQ1

Air QualityQ2

ISO 14001Q1

Abstract

Background and Objective: Considering the increasing development of gas and oil industries in Pars Gas Complex and consequently the increasing environmental problems, especially impacts on Air Quality, conducting knowledge-base and efficient studies for assessment and management of environmental issues in such region are of high importantance. Method: In this study, environmental Air Quality at the Pars Special Economic Energy Zone was evaluated using Fuzzy Logic in 2013 and 2014. In contrary to classical crisp logic, Fuzzy Logic is a highly vaulted logic in which variable vary between 0 and 1. In Fuzzy Logic, it is possible to assess the quality and environmental risk using qualitative (linguistic) and quantitative variables. Two fuzzy inference systems were constructed respectively based on Air Quality index (AQI) and Benzene, Toluene, Ethyl Benzene, Xylene and H2S Quality index (BTEXHQI) to obtained the fuzzy Air Quality index (FAQI) in this study. Weighted rules in fuzzy inference system were calculated based on previous studies, sensitively analysis and environmental expert opinions. Findings: Results show that SO2 and Toluene are the agent pollutant in fuzzy inference systems based on AQI and BTEXHQI, respectively. For instance, fuzzy index of environmental Air Quality of Assaluyeh was calculated as 201 (very unhealthy) and 173 (unhealthy) in 2013 and 2014. Discussion and Conclusion: The obtained results indicate that quality indexes and environmental risks are being improved as one of the most important achievements of ISO 14001 and HSE management systems.

Cites

Tolerance of Plants to Air Pollution in the Industrial Complex of Glass, Khak-e-Chini, Tile and Ceramics in Ardakan, Iran

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APA: Copy

SARKHEIL, HAMID, AZIMI, YOUSEF, & RAHBARI, SHAHROKH. (2019). Modeling environmental air quality assessment using fuzzy logic in the Pars Special Economic Energy Zone (Case study: Assaluyeh, Bidkhon and Shirino regions). JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 20(4 (79) ), 1-16. SID. https://sid.ir/paper/393961/en

Vancouver: Copy

SARKHEIL HAMID, AZIMI YOUSEF, RAHBARI SHAHROKH. Modeling environmental air quality assessment using fuzzy logic in the Pars Special Economic Energy Zone (Case study: Assaluyeh, Bidkhon and Shirino regions). JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY[Internet]. 2019;20(4 (79) ):1-16. Available from: https://sid.ir/paper/393961/en

IEEE: Copy

HAMID SARKHEIL, YOUSEF AZIMI, and SHAHROKH RAHBARI, “Modeling environmental air quality assessment using fuzzy logic in the Pars Special Economic Energy Zone (Case study: Assaluyeh, Bidkhon and Shirino regions),” JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, vol. 20, no. 4 (79) , pp. 1–16, 2019, [Online]. Available: https://sid.ir/paper/393961/en

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