Ammonia-nitrogen and Phosphate Reduction by Bio-Filter using Factorial Design

3rd International Conference on Research Methodology for Built Environment and Engineering 2017

生态环境科学

Kasmuri, Norhafezah^1 ; Mat Damin, Nur Ashikin^1 ; Omar, Megawati^2

Faculty of Civil Engineering, Universiti Teknologi Mara, Shah Alam, Selangor

40450, Malaysia^1

Academy of Language Studies, Universiti Teknologi MARA, Selangor, Shah Alam

40450, Malaysia^2

关键词: Ammonia nitrogen;    Landfill leachates;    Nitrite nitrogen;    Nutrients concentrations;    Plastic carriers;    Regression equation;    Sustainable treatments;    Synthetic waste water;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/117/1/012032/pdf
DOI  :  10.1088/1755-1315/117/1/012032

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Untreated landfill leachate is known to have endangered the environment. As such new treatment must be sought to ensure its cost-effective and sustainable treatment. Thus this paper reports the effectiveness of bio-filter to remove pollutants. In this research, the reduction of nutrients concentration was evaluated in two conditions: using bio-filter and without bio-filter. Synthetic wastewater was used in the batch culture. It was conducted within 21 days in the initial mediums of 100 mg/L ammonia-nitrogen. The nitrification medium consisted of 100 mg/L of ammonia-nitrogen while the nitrite assay had none. The petri dish experiment was also conducted to observe the existence of any colony. The results showed 22% of ammonia- nitrogen reduction and 33% phosphate in the nitrification medium with the bio-filter. The outcome showed that the bio-filter was capable to reduce the concentration of pollutants by retaining the slow growing bacteria (AOB and NOB) on the plastic carrier surface. The factorial design was applied to study the effect of the initial ammonia-nitrogen concentration and duration on nitrite-nitrogen removal. Finally, a regression equation was produced to predict the rate of nitrite-nitrogen removal without conducting extended experiments and to reduce the number of trials experiment.