Optimization of Batch Conditions for COD and Ammonia Nitrogen Removal Using cockle shells Through Response Surface Methodology

  • Zawawi Daud 1. Department of water and environmental Engineering. Faculty of Civil and Environmental engineering. Universiti Tun hussein Onn Malaysia. 2. Department of civil engineering. Modibbo Adama university of Technology Yola. Nigeria
  • Mahmoud Hijab Abubakar
  • Halizah Awang
  • Zainab Belel Ahmed
  • Mohd Arif Rosli
  • Mohd Baharudin Ridzuan
  • Ruwaida Aliyu
  • Husnul Azan Tajarudin
Keywords: Cockle shells, Response surface methodology, Central composite design, COD and NH3-N

Abstract

The optimal conditions for the reduction of COD and NH3-N using cockle shells (CS) from a stabilised landfill effluent were analyzed. The influence of two variables (adsorbent dosage and pH) were analysed through the application of response surface methodology (RSM) and central composite design (CCD). Quadratic models were developed for the removals of COD and NH3-N parameters. The optimum conditions for removal of 65.6% and 53.6% for COD and NH3-N respectively was achieved at pH 6.34, adsorbent dosage of 20.21 g having 0.888 desirability value. The model F-value obtained for NH3-N removal Prob. > F value of 0.0001 with F-value of 104.21 was obtained. Similarly the Prob. > F value of < 0.0001 for COD with F-value of 82.74 was obtained, these P-values confirmed the significance of the model. The predicted response versus the experimental response depicted that the experimental data were relatively close to the predicted data. Thus, the generated models significantly enclosed the correlation between the process variables and the response.

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Published
01-01-2019
How to Cite
Daud, Z., Abubakar, M. H., Awang, H., Ahmed, Z. B., Rosli, M. A., Ridzuan, M. B., Aliyu, R., & Tajarudin, H. A. (2019). Optimization of Batch Conditions for COD and Ammonia Nitrogen Removal Using cockle shells Through Response Surface Methodology. International Journal of Integrated Engineering, 10(9). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/2432

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