4.7 Article

Optimization of a hybrid process combining nanofiltration and electrodialysis for the treatment of surface water in the Mekong Delta region

Journal

JOURNAL OF CLEANER PRODUCTION
Volume 365, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2022.132694

Keywords

Desalination; Pesticide removal; Hybrid process; Optimization; Experimental design method

Funding

  1. Vietnamese government (VIED-Vietnam International Education Development) [911]
  2. University of Science and Technology of Hanoi (USTH, Vietnam)
  3. Campus France, France (Linh Duy Nguyen's grant)

Ask authors/readers for more resources

The coastal area of the Mekong Delta is facing challenges of water supply quality due to contamination from pesticides and salinity. This study developed an efficient surface water treatment using electrodialysis and nanofiltration technologies to remove salinity and pesticides simultaneously.
The coastal area of the Mekong Delta is facing a huge problem of water supply quality due to pesticide (intensive agriculture) and salinity (sea water intrusion) contamination. Their simultaneous presence makes this water complex and requires advanced water treatment processes in order to meet the Vietnamese Guideline for drinking water quality. The objective of this work is to develop an efficient surface water treatment based on electrodialysis and nanofiltration technologies. The approach consists in using electrodialysis in a first stage for salinity removal to improve, in the second stage, the performance of nanofiltration for the removal of pesticides. The question that arises is to what extent should electrodialysis desalination be carried out in order to effectively remove the pesticide and salinity in the second stage (nanofiltration) at a reasonable cost? To answer this question, an experimental design methodology was employed to describe and optimize the entire hybrid system. Experiments carried out under the optimal conditions deduced from the modeling gave experimental results in good agreement with the predictions allowing to validate the optimization approach.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available