Investigating and determining the kinetic coefficients of cell growth and removal of organic and nutrient substances from real wastewater for modeling activated sludge using the A2O method

Author:

Daronkola Mojtaba Darzi1,Ramavandi Bahman2,Hashemi Seyed Enayat2,Amiri Fazel1,Mahvi Amir Hossein3

Affiliation:

1. Islamic Azad University Bushehr Branch

2. Bushehr University of Medical Sciences

3. Tehran University of Medical Sciences

Abstract

Abstract Purpose: A2O process is one of the biological removal processes of nutrients in wastewater treatment. Phosphorus removal by biological method is a new and developed technique that is done by changing the design of suspended growth systems. methods: This is a cross-sectional descriptive study, which is a pilot workshop based in the first module, and chemistry, physics and microbiological tests are carried out at the wastewater treatment plant laboratory in one of the cities of Tehran province in 2020-2021 during a period of 12 months. Was completed. In this research, a total of 500 samples were taken from raw sewage, aeration pond, effluent, secondary sedimentation and return activated sludge. Results: In this research, the internal decay coefficient and the growth efficiency coefficient are equal to d-1 0.1264 and 0.6579 gVSS/gCOD, respectively. And the maximum specific rate of consumption of food substance and the semi-saturation constant of food substance respectively gCOD/gVSS.d 3.3467 gCOD/m 25.305. If the specific rate of consumption of food substance or efficiency factor in our research is 0.27 gCOD/gVSS.d and the semi-constant Ks saturation equal to 27.9 gCOD/m has been obtained, this actually shows that the organic matter (COD) in the waste water of Pardis city had a higher degradability (sbCOD). Conclusion: According to the obtained results, the synthetic coefficients in the Lineweaver-Burk and Hanes models are suitable, but in the Hofstee model, the amount of K and Kd is less than the optimal amount for the proper exploitation of the pilot.

Publisher

Research Square Platform LLC

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