Document Type : Research article
Authors
1 Master's student, HSE group, Institute of Higher Education, Bushehr, Iran.
2 , HSE group, Institute of Higher Education, Bushehr, Iran
3 HSE group, Institute of Higher Education, Bushehr, Iran
Abstract
Background and Objective: The polystyrene petrochemical industry is one of the energy-intensive sectors and a significant source of air pollutants and industrial wastewater. Due to the high sensitivity of pollutants generated during polystyrene production, real-time monitoring is essential for immediate and precise control. This study investigates the performance of the online pollutant monitoring system and its integration with the self-reporting mechanism in Polystyrene Petrochemical Company Entekhab.
Materials and Methods: The required data were collected through sampling of stack emissions and compared with the outputs of the online monitoring system. Key pollution parameters, including carbon monoxide, oxygen, and flow rate, were evaluated in accordance with environmental standards (e.g., WHO and national environmental regulations).
Results: The results confirmed the accuracy and reliability of the online monitoring system. Data analysis demonstrated the system’s capability to detect variations in combustion efficiency and pollutant levels. Furthermore, the system enabled effective monitoring under different operational conditions. Findings indicate that implementing and integrating the online monitoring system with the self-reporting process represents a key strategy for achieving effective environmental management, continuous process improvement, and progress toward sustainable development.
Conclusion: The present study showed that the online pollutant monitoring system, when combined with the self-reporting mechanism, can serve as an effective hybrid approach for environmental management in petrochemical industries. The analysis revealed that this integration not only enhances accuracy and transparency in real-time pollutant monitoring but also provides opportunities for optimizing operational processes and reducing environmental costs.
Open Access Policy: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/
Keywords
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