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Abstract

Solidification/Stabilization (S/S) method with cement as a binder to remediate metals in petroleum sludge has been successfully proven. However, this technique has not yet been explored to remediate organic contaminants since a high concentration of Total Petroleum Hydrocarbon (TPH) was also detected in the sludge. This study focuses on remediating 16 Polycyclic Aromatic Hydrocarbons (PAHs) compounds in raw petroleum sludge with Portland cement as a binder using the S/S method. The initial concentration of 16 PAHs in the raw sludge was first measured before the performance of the S/S method to remediate the PAHs were evaluated. The S/S matrices were tested for leaching behavior and strength after 7 and 28 days by air curing. The leaching test was measured using the Toxicity Characteristics Leaching Procedure (TCLP), and the remaining PAHs concentration in the matrices was analyzed using a Gas Chromatography-Mass Spectrometer (GC-MS). In the raw sludge, all 16 PAHs compounds were below the standard limit except for Benzo(a)anthracene, Benzo(a)pyrene, Dibenzo(ah)anthracene, and Indeno(1,2,3- cd_ pyrene), which are considered as high rings PAHs. The high rings PAHs show lower concentration in leachate than low rings PAHs, which indicates the potential of the S/S method in remediating high rings PAHs. The high sludge ratio in S/S matrices has shown that the percentage strength is increasing, similar to Portland cement. Therefore, this study contributed to the possibility of the S/S method in the remediation of PAHs in petroleum sludge by using only Portland cement as a binder.
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Authors and Affiliations

Noor Faiza Roslee
1
ORCID: ORCID
Nor Amani Filzah Mohd Kamil
1
ORCID: ORCID
Aeslina Abdul Kadir
2
ORCID: ORCID
Abdul Rahim Jalil
3
ORCID: ORCID
Nurhidayah Hamzah
4
ORCID: ORCID
Norazian Mohamed Noor
5
ORCID: ORCID
Andrei Victor Sandu
6
ORCID: ORCID

  1. Universiti Tun Hussien Onn Malaysia, Faculty of Civil Engineering and Built Environment, Batu Pahat, Johor, Malaysia
  2. Universiti Tun Hussien Onn Malaysia, Micro Pollutant Research Centre, Batu Pahat, Johor, Malaysia
  3. Pengerang Refining Company Sdn. Bhd. 81600 Pengerang, Johor Malaysia
  4. Universiti Teknologi MARA Department of Water Resource and Environmental System, 40450, Selangor, Malaysia
  5. Universiti Malaysia Perlis (UniMAP), Faculty of Civil Engineering Technology, 01000 Perlis Malaysia
  6. "Gheorghe Asachi” Technical University, Faculty of Materials Science and Engineering, 700050 lasi, Romania
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Abstract

The main purpose of the article is to develop a multifactorial model for rapid assessment of the efficiency of biological wastewater treatment reactors. A mathematical model of the process of biological wastewater treatment has been developed based on: changes in the concentration of organic contaminants in the bioreactor over time, taking into account the uneven flow of wastewater to the treatment plant, the process of substrate entering the bioreactor (different amounts may enter at different times). The software implementation of the proposed algorithm for solving the corresponding model problem in Python is carried out. The results of computer experiments on the study of the efficiency of wastewater treatment in biological treatment reactors for different operating conditions of facilities are presented. In particular, such processes were considered with taking into account the unevenness of the load, because the maximum cleaning loads are in the morning and in the evening. The task was solved to simulate a real situation and show how cleaning takes place at the maximum load at a certain time of the day. The results obtained will be useful for calculations in the design of biological treatment facilities or in the reconstruction of existing bioreactors for their prospective operation under new operating conditions.
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Authors and Affiliations

Andrii Safonyk
1
ORCID: ORCID
Oleg Rogov
1
ORCID: ORCID
Maksym Trokhymchuk
1
ORCID: ORCID
Olena Prysiazhniuk
1
ORCID: ORCID
Ihor Prysiazhniuk
2
ORCID: ORCID

  1. National University of Water and Environmental Engineering, Institute of Energy, Automatics and Water Management, Department of Automation, Electrical Engineering and Computer-integrated Technologies, 11 Soborna St, 33028, Rivne, Ukraine
  2. Rivne State University of Humanities, Faculty of Mathematics and Informatics, 31 Plastova St, 33000, Rivne, Ukraine

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