Issue |
E3S Web Conf.
Volume 120, 2019
2019 2nd International Conference on Green Energy and Environment Engineering (CGEEE 2019)
|
|
---|---|---|
Article Number | 03003 | |
Number of page(s) | 5 | |
Section | Ecological Management and Pollution Control | |
DOI | https://doi.org/10.1051/e3sconf/201912003003 | |
Published online | 27 September 2019 |
Cu adsorption in fixed bed column with three different influent concentration
1 Department of Environmental Engineering and Management, Chaoyang University of Technology, 41349 Taichung, Taiwan.
2 Department of Environmental Engineering, Ilan University, 26047 Ilan, Taiwan.
3 Graduate Institute of Environmental Engineering, National Taiwan University, 10617 Taipei, Taiwan.
* Corresponding author: hmlo@cyut.edu.tw
Heavy metals from the electroplating wastewater might cause environmental pollution if not well treated. Generally, carbon adsorption might be used for the final step for further trace metals removal. This study investigated the heavy metal Cu adsorption in the fixed bed column with 1, 10 and 100 mg/L influent concentration. Results showed that KAB decreased as influent Cu concentration increased from 1 to 100 mg/L while N0 increased as influent concentration increased from 1 to 100 mg/L as can be found in Adams-Bohart model. R2 was found between 0.8579 and 0.9182. In Thomas model. KTH and q0 showed the similar trend as KAB and N0 in the Adams-Bohart model. KTH decreased as influent Cu concentration increased from 1 to 100 mg/L. q0 increased as influent Cu concentration increased from 1 to 100 mg/L. R2 of regression model was found between 0.9065 and 0.9836. In Yoon-Nelson model. KYN increased as influent Cu concentration increased from 1 to 100 mg/L while τ decreased as influent Cu concentration increased from 1 to 100 mg/L. Results showed that the three models of Adams-Bohart model, Thmoas model and The Yoon-Nelson model were suitable for the description of Cu adsorption by activated carbon.
© The Authors, published by EDP Sciences, 2019
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.