Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2022, Cilt: 6 Sayı: 4, 268 - 275, 15.10.2022
https://doi.org/10.31127/tuje.975623

Öz

Kaynakça

  • Abuzerr S, Hadi M, Zinszer K, Nasseri S, Yunesian M, Mahvi AH, Nabizadeh R, Hussien Mohammed S (2020). Comprehensive risk assessment of health-related hazardous events in the drinking water supply system from source to tap in Gaza Strip, Palestine. Journal of Environmental and Public Health, 1-10.
  • Ak M F (2020). Comparison of Risk Assessment Methods within the Scope of Occupational Safety in the Construction Sector. Avrupa Bilim ve Teknoloji Dergisi, (18), 272-282
  • Alavipoor F S, Ghorbaninia Z, Karimi S, Jafari H (2016). Surface water contamination risk assessment modeled by Fuzzy-WRASTIC. Water Environ. Res., 88, 589–601.
  • Asgarian M, Tabesh M, Roozbahani A, Bavani E B (2017) Risk Assessment and Management of Wastewater Collection and Treatment Systems Using FMADM Methods. Iran. J. Sci. Technol. Trans. Civ. Eng., 42, 55–71.
  • Balaraju J, Govinda Raj, M & Murthy C S N (2020). Prediction and Assessment of LHD Machine Breakdowns Using Failure Mode Effect Analysis (FMEA).
  • Bavani E B & Tabesh M (2012). Risk Assessment and Management of Wastewater Treatment Plants (WTPs) Using a Fuzzy Multi-Attribute Decision-Making (FMADM) Approach. 10th International Conference on Hydroinformatics.
  • Cabanillas J, Ginebreda A, Guillén D, Martínez E, Barceló D, Moragas L, Robusté J, Darbra R M (2012). Fuzzy logic based risk assessment of effluents from waste-water treatment plants. Science of the Total Environment, 439, 202–210.
  • Cossio C, Perez-Mercado L F, Norrman J, Dalahmeh S S Vinnerås B, Mercado A & McConville J (2019). Impact of treatment plant management on human health and ecological risks from wastewater irrigation indeveloping countries—Case studies from Cochabamba, Bolivia. International Journal of Environmental Health Research, 29, 1–19. Edokpayi J, Odiyo J, Durowoju O (2017). Impact of wastewater on surface water quality in develocountries: A case study of South Africa. Environmental Science, 1.
  • El-Quliti S A, Basarwan R, Alzahrani H, Alzahrani S, Badr F (2016). Procedure for Hazard Identification and Risk Assessment in Wastewater Treatment Planting Saudi Arabia, International Journal of Scientific And Technical Research In Engineering (IJSTRE), 1, 1-10.
  • Emhan A (2009). Risk yönetim süreci ve risk yönetmekte kullanilan teknikler. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 23, 209-219.
  • Falakh F & Setiani O (2018). Hazard identification and risk assessment in water treatment plant considering environmental health and safety practice. E3S Web of Conferences.
  • Ghandi M & Roozbahani A (2020). Risk Management of Drinking Water Supply in Critical Conditions Using Fuzzy PROMETHEE V Technique. European Water Resources Association (EWRA), 34, 595-615.
  • Güner E D (2018). Environmental risk assessment for biological wastewater treatment plant. Pamukkale University Journal of Engineering Sciences, 24, 476-480.
  • Kudłak B, Wieczerzak M, Yotova G, Tsakovski S, Simeonov V & Namieśnik J (2016). Environmental risk assessment of Polish wastewater treatment plant activity. Chemosphere, 160, 181-188.
  • Kumar S S & Shrihari S (2016). Standardisation of Risk Assessment Process by Modifying The Risk Matrix, International Journal of Advance Research in Science and Engineering, 5(1), 148-158.
  • Kursun B, Kurt U, Guvercin S, Okten K, Akgul S & Yildiz A (2016). An application for the failure mode and effects analysis integrated with the grey relational analysis. Trakya University Journal of Engineering Sciences, 17, 35-44.
  • Łój-Pilch M & Zakrzewska A (2020). Analysis of risk assessment in a municipal wastewater treatment plant located in upper Silesia. Water, 100, 12-23.
  • Łój-Pilch M, Zakrzewska A & Zielewicz E (2018). Risk identification on the example of municipal sewage treatment plant. E3S Web of Conferences.
  • Malakahmad A, Downe A. G. Downe & Fadzil S D M (2012). Application of occupational health and safety management system at sewage treatment plants,IEEE Business, Engineering & Industrial Applications Colloquium (BEIAC), 2012, 347-350.
  • Mete T, Ozkan G & Ozkan G (2012). Control of dissolved oxygen concentration using neural network in a batch bioreactor. Computer Applications in Engineering Education, 20(4), 619–628.
  • Mirghafouri S H & Kousha A (2015). Risk Assessment of Water Transmission Pipelines with Fuzzy FMEA-AHP Approach (Case study: Yazd Water Transmission Pipeline). Journal of Applied Environmental and Biological Sciences, 5 (2015) 134-141.
  • Nicoleta U, Valentin V & Gheorghe V (2020). Water scarcity and wastewater reuse in crop irrigation. Sustainability, 12, 1-18.
  • Özkan G, Akin B A & Özkan G (2013). The prediction of chemical oxygen demand (COD) or suspended solid (SS) removal using statistical methods and the artifical neural network in the sugar industrial wastewaters. ARPN Journal of Engineering and Applied Sciences, 8(12), 978-983.
  • Özkan G, Uçan L & Özkan G (2010). The Prediction of SO2 Removal Using Statistical Methods and Artificial Neural Network. Neural Computing and Applications, 1-9.
  • Radionovs A & Rebrov O (2014). Application of fuzzy logic for risk assessment. Inf. Technol. Manage. Sci., 17(1):50–54.
  • Shang K & Zakir H (2013). Applying Fuzzy Logic to Risk Assessment and Decision-Making Sponsored by CAS/CIA/SOA Joint Risk Management Section.
  • Shinta F R, Karnaningroem N & Mardyanto A (2019). Risk Management of Wastewater Treatment in the Wastewater Treatment Plant of PT. X. The 1st International Conference on Business and Management of Technology (IConBMT), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
  • Stamatis D H (1995). Failure Mode and Effect Analysis: FMEA From Theory to Execution. ASQ, (Quality Press, Milwaukee), 1.
  • Subriadi A P & Najwa N F (2020). The consistency analysis of failure mode and effect analysis (FMEA) in information technology risk assessment. Heliyon 6.
  • Suryoputro M R, Khairizzahra L, Amarria D S & Nawang Wahyu W W (2019). Failure Mode and Effect Analysis (Fuzzy FMEA) Implementation for Forklift Risk Management in Manufacturing Company PT.XYZ IOP Conference Series: Materials Science and Engineering 528 (1).
  • Yel E & Yalpir S (2011). Prediction of primary treatment effluent parameters by Fuzzy Inference System (FIS) approach. Procedia Computer Science, 3, 659-665.
  • Yılmaz A (2015). Küresel ısınmanın dünya su rezervleri üzerindeki etkileri. Urban Academy Rewieved Journal of Urban Culture and Management, 8, 63-72.

Risk assessment with the fuzzy logic method for Ankara OIZ environmental waste water treatment plant

Yıl 2022, Cilt: 6 Sayı: 4, 268 - 275, 15.10.2022
https://doi.org/10.31127/tuje.975623

Öz

In this study, occupational safety risk assessment has been performed for Ankara Chamber of Industry 2nd and 3rd Organized Industrial Zone (OIZ) Regional Directorate - Environmental Waste Water Treatment Plant (WWTP) by fuzzy logic method. In the literature, there are lots of risk assessment methodologies. These methods for the risk level do not give accurate results in systems such as WWTPs with a lot of complexity and variability. Also, these methods include strict lines and are not reflecting the practical issues of the real-world applications. For this reason, these methods are to be adopted by the use of fuzzy logic. Fuzzy Logic Risk Analysis Model which gives more realistic results compared to traditional methods based on probability. For fuzzy safety risk assessment firstly membership functions for input and output are created and values risk assessment input data is blurred then Fuzzy Risk Priority Number (FRPN) is determined in the Matlab 2013a software program. In this study a risk matrix merged with Fuzzy Logic model is developed to enhance the risk assessment process which is dealing with uncertainties that arise in each phase of the risk assessment process. RPN values were investigated and compared by 5x5 matrix and fuzzy logic method.

Kaynakça

  • Abuzerr S, Hadi M, Zinszer K, Nasseri S, Yunesian M, Mahvi AH, Nabizadeh R, Hussien Mohammed S (2020). Comprehensive risk assessment of health-related hazardous events in the drinking water supply system from source to tap in Gaza Strip, Palestine. Journal of Environmental and Public Health, 1-10.
  • Ak M F (2020). Comparison of Risk Assessment Methods within the Scope of Occupational Safety in the Construction Sector. Avrupa Bilim ve Teknoloji Dergisi, (18), 272-282
  • Alavipoor F S, Ghorbaninia Z, Karimi S, Jafari H (2016). Surface water contamination risk assessment modeled by Fuzzy-WRASTIC. Water Environ. Res., 88, 589–601.
  • Asgarian M, Tabesh M, Roozbahani A, Bavani E B (2017) Risk Assessment and Management of Wastewater Collection and Treatment Systems Using FMADM Methods. Iran. J. Sci. Technol. Trans. Civ. Eng., 42, 55–71.
  • Balaraju J, Govinda Raj, M & Murthy C S N (2020). Prediction and Assessment of LHD Machine Breakdowns Using Failure Mode Effect Analysis (FMEA).
  • Bavani E B & Tabesh M (2012). Risk Assessment and Management of Wastewater Treatment Plants (WTPs) Using a Fuzzy Multi-Attribute Decision-Making (FMADM) Approach. 10th International Conference on Hydroinformatics.
  • Cabanillas J, Ginebreda A, Guillén D, Martínez E, Barceló D, Moragas L, Robusté J, Darbra R M (2012). Fuzzy logic based risk assessment of effluents from waste-water treatment plants. Science of the Total Environment, 439, 202–210.
  • Cossio C, Perez-Mercado L F, Norrman J, Dalahmeh S S Vinnerås B, Mercado A & McConville J (2019). Impact of treatment plant management on human health and ecological risks from wastewater irrigation indeveloping countries—Case studies from Cochabamba, Bolivia. International Journal of Environmental Health Research, 29, 1–19. Edokpayi J, Odiyo J, Durowoju O (2017). Impact of wastewater on surface water quality in develocountries: A case study of South Africa. Environmental Science, 1.
  • El-Quliti S A, Basarwan R, Alzahrani H, Alzahrani S, Badr F (2016). Procedure for Hazard Identification and Risk Assessment in Wastewater Treatment Planting Saudi Arabia, International Journal of Scientific And Technical Research In Engineering (IJSTRE), 1, 1-10.
  • Emhan A (2009). Risk yönetim süreci ve risk yönetmekte kullanilan teknikler. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 23, 209-219.
  • Falakh F & Setiani O (2018). Hazard identification and risk assessment in water treatment plant considering environmental health and safety practice. E3S Web of Conferences.
  • Ghandi M & Roozbahani A (2020). Risk Management of Drinking Water Supply in Critical Conditions Using Fuzzy PROMETHEE V Technique. European Water Resources Association (EWRA), 34, 595-615.
  • Güner E D (2018). Environmental risk assessment for biological wastewater treatment plant. Pamukkale University Journal of Engineering Sciences, 24, 476-480.
  • Kudłak B, Wieczerzak M, Yotova G, Tsakovski S, Simeonov V & Namieśnik J (2016). Environmental risk assessment of Polish wastewater treatment plant activity. Chemosphere, 160, 181-188.
  • Kumar S S & Shrihari S (2016). Standardisation of Risk Assessment Process by Modifying The Risk Matrix, International Journal of Advance Research in Science and Engineering, 5(1), 148-158.
  • Kursun B, Kurt U, Guvercin S, Okten K, Akgul S & Yildiz A (2016). An application for the failure mode and effects analysis integrated with the grey relational analysis. Trakya University Journal of Engineering Sciences, 17, 35-44.
  • Łój-Pilch M & Zakrzewska A (2020). Analysis of risk assessment in a municipal wastewater treatment plant located in upper Silesia. Water, 100, 12-23.
  • Łój-Pilch M, Zakrzewska A & Zielewicz E (2018). Risk identification on the example of municipal sewage treatment plant. E3S Web of Conferences.
  • Malakahmad A, Downe A. G. Downe & Fadzil S D M (2012). Application of occupational health and safety management system at sewage treatment plants,IEEE Business, Engineering & Industrial Applications Colloquium (BEIAC), 2012, 347-350.
  • Mete T, Ozkan G & Ozkan G (2012). Control of dissolved oxygen concentration using neural network in a batch bioreactor. Computer Applications in Engineering Education, 20(4), 619–628.
  • Mirghafouri S H & Kousha A (2015). Risk Assessment of Water Transmission Pipelines with Fuzzy FMEA-AHP Approach (Case study: Yazd Water Transmission Pipeline). Journal of Applied Environmental and Biological Sciences, 5 (2015) 134-141.
  • Nicoleta U, Valentin V & Gheorghe V (2020). Water scarcity and wastewater reuse in crop irrigation. Sustainability, 12, 1-18.
  • Özkan G, Akin B A & Özkan G (2013). The prediction of chemical oxygen demand (COD) or suspended solid (SS) removal using statistical methods and the artifical neural network in the sugar industrial wastewaters. ARPN Journal of Engineering and Applied Sciences, 8(12), 978-983.
  • Özkan G, Uçan L & Özkan G (2010). The Prediction of SO2 Removal Using Statistical Methods and Artificial Neural Network. Neural Computing and Applications, 1-9.
  • Radionovs A & Rebrov O (2014). Application of fuzzy logic for risk assessment. Inf. Technol. Manage. Sci., 17(1):50–54.
  • Shang K & Zakir H (2013). Applying Fuzzy Logic to Risk Assessment and Decision-Making Sponsored by CAS/CIA/SOA Joint Risk Management Section.
  • Shinta F R, Karnaningroem N & Mardyanto A (2019). Risk Management of Wastewater Treatment in the Wastewater Treatment Plant of PT. X. The 1st International Conference on Business and Management of Technology (IConBMT), Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
  • Stamatis D H (1995). Failure Mode and Effect Analysis: FMEA From Theory to Execution. ASQ, (Quality Press, Milwaukee), 1.
  • Subriadi A P & Najwa N F (2020). The consistency analysis of failure mode and effect analysis (FMEA) in information technology risk assessment. Heliyon 6.
  • Suryoputro M R, Khairizzahra L, Amarria D S & Nawang Wahyu W W (2019). Failure Mode and Effect Analysis (Fuzzy FMEA) Implementation for Forklift Risk Management in Manufacturing Company PT.XYZ IOP Conference Series: Materials Science and Engineering 528 (1).
  • Yel E & Yalpir S (2011). Prediction of primary treatment effluent parameters by Fuzzy Inference System (FIS) approach. Procedia Computer Science, 3, 659-665.
  • Yılmaz A (2015). Küresel ısınmanın dünya su rezervleri üzerindeki etkileri. Urban Academy Rewieved Journal of Urban Culture and Management, 8, 63-72.
Toplam 32 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Articles
Yazarlar

Fatma Erdem 0000-0002-6014-6664

Yayımlanma Tarihi 15 Ekim 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 6 Sayı: 4

Kaynak Göster

APA Erdem, F. (2022). Risk assessment with the fuzzy logic method for Ankara OIZ environmental waste water treatment plant. Turkish Journal of Engineering, 6(4), 268-275. https://doi.org/10.31127/tuje.975623
AMA Erdem F. Risk assessment with the fuzzy logic method for Ankara OIZ environmental waste water treatment plant. TUJE. Ekim 2022;6(4):268-275. doi:10.31127/tuje.975623
Chicago Erdem, Fatma. “Risk Assessment With the Fuzzy Logic Method for Ankara OIZ Environmental Waste Water Treatment Plant”. Turkish Journal of Engineering 6, sy. 4 (Ekim 2022): 268-75. https://doi.org/10.31127/tuje.975623.
EndNote Erdem F (01 Ekim 2022) Risk assessment with the fuzzy logic method for Ankara OIZ environmental waste water treatment plant. Turkish Journal of Engineering 6 4 268–275.
IEEE F. Erdem, “Risk assessment with the fuzzy logic method for Ankara OIZ environmental waste water treatment plant”, TUJE, c. 6, sy. 4, ss. 268–275, 2022, doi: 10.31127/tuje.975623.
ISNAD Erdem, Fatma. “Risk Assessment With the Fuzzy Logic Method for Ankara OIZ Environmental Waste Water Treatment Plant”. Turkish Journal of Engineering 6/4 (Ekim 2022), 268-275. https://doi.org/10.31127/tuje.975623.
JAMA Erdem F. Risk assessment with the fuzzy logic method for Ankara OIZ environmental waste water treatment plant. TUJE. 2022;6:268–275.
MLA Erdem, Fatma. “Risk Assessment With the Fuzzy Logic Method for Ankara OIZ Environmental Waste Water Treatment Plant”. Turkish Journal of Engineering, c. 6, sy. 4, 2022, ss. 268-75, doi:10.31127/tuje.975623.
Vancouver Erdem F. Risk assessment with the fuzzy logic method for Ankara OIZ environmental waste water treatment plant. TUJE. 2022;6(4):268-75.
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