@inproceedings{scholars15430, pages = {216--220}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, journal = {2021 3rd International Sustainability and Resilience Conference: Climate Change}, title = {Kinetic modelling of nutrient removal of petroleum industry wastewater remediation}, year = {2021}, doi = {10.1109/IEEECONF53624.2021.9667961}, note = {cited By 23; Conference of 3rd International Sustainability and Resilience Conference: Climate Change, ISRC 2021 ; Conference Date: 15 November 2021 Through 17 November 2021; Conference Code:176395}, abstract = {The wastewater generated from the petroleum industry is incredibly recalcitrant and requires a lot of energy to clean. As a result, managing the treatment of petroleum industry wastewater (PIWW) in underdeveloped nations is problematic. Co-treatment with domestic wastewater (DWW) is a viable solution to the problem. The study was conducted for co-treatment of PIWW with DWW, in a lab scale extended aeration (EAS) reactor. The outcome identifies that the maximum ammonia removal was achieved at 20 PIWW, which was 88.3. Among the studied kinetic model of nutrient removal, modified Stover-Kincannon model and Monod model was found fit with experimental data with the coefficient of correlation (R2) greater than 0.99 and 0.98 respectively, evidently postulate that these models can be used to predict the reactor's effectiveness for nutrient removal. Thus, EAS treatment plant can be build for the treatment of PIWW together with DWW. {\^A}{\copyright} 2021 IEEE.}, keywords = {Ammonia; Gasoline; Nutrients; Petroleum industry; Wastewater treatment, Activated sludge reactors; Domestic wastewater; Extended aeration activated sludge reactor; Extended aerations; First order; First-order substrate removal model; Monod model; Nutrient removal; Petroleum industry wastewater; Petroleum industry wastewaters; Removal models; Stover-kincannon models; Substrate removal, Kinetic theory}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124738842&doi=10.1109\%2fIEEECONF53624.2021.9667961&partnerID=40&md5=45310c45bdfd23fa2a183e780e907d77}, isbn = {9781665416320}, author = {Noor, A. and Kutty, S. R. M. and Jagaba, A. H. and Yusuf, M. and Akram, M. W. and Adil, M. R. and Ahmad, N. and Jamal, M.} }