E3S Web Conf.
Volume 148, 2020The 6th Environmental Technology and Management Conference (ETMC) in conjunction with The 12th AUN/SEED-Net Regional Conference on Environmental Engineering (RC EnvE) 2019
|Number of page(s)||7|
|Section||Green Cities, Eco Industries, and Sustainable Infrastructure|
|Published online||05 February 2020|
The effect of artificial support material existence on removal of organic and nutrient in laboratory scale using plug flow reactor (PFR)
1 Environmental Engineering Master Program, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung
2 Program Study of Environmental Engineering, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung
* Corresponding author: firstname.lastname@example.org
Artificial support material was examined to determine the removal capacity of organic pollutants and nutrients on laboratory scale using PFR system. The experiment was performed using artificial water with similar characteristics to Cikapayang River in three PFRs of 10.78 L. The PFRs were made of PVC pipes filled with an inert chemical substrate as an artificial support material. The process of pollutants removal in the PFR relies on a biological layer (biofilm) grown on the surface of the material support. Three type of C:N:P ratio used in this study were 30:15:1, 75:25:2, and 180:35:3. The results showed that the maximum removal efficiency of TSS, TN, TP, and COD in the preliminary tests were 85%, 87%, 71% and 79%, respectively. Moreover, the maximum water absorption capacity result was up to 30.8%. Organic substrate removal rate compared with first order and Strover-Kincannon substrate removal models prediction. The best fit model for this experiment was Stover-Kincannon model, with the average correlation coefficient up to 90% for all of the three reactors. SEM analysis shown that the microorganisms shape is coccus with the average size of 5 µm.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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