Enhanced prediction of ammonia nitrogen levels in reverse osmosis brine from a full-scale water reclamation plant using machine learning
Water scarcity has led to the increased use of reclaimed water as a sustainable resource. However, reclaimed water generates byproducts like reverse osmosis brine, which can harm aquatic ecosystems if discharged directly. Effective monitoring and prediction of effluent quality are crucial. This stud...
Saved in:
Main Authors: | Chun Yee Joey Tang, Yuming Chen, Pei-Hsun Wu, Chao-Chin Chang, Chang-Ping Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-09-01
|
Series: | Water Research X |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589914725000830 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Desalination by reverse osmosis /
Published: (1966) -
Introducing ultra-high-pressure low-salt-rejection reverse osmosis for energy-efficient concentration of industrial brines
by: Yuliya Schiesser, et al.
Published: (2025-12-01) -
Isolation and Identification of Cryptosporidium sp. by Reverse Osmosis System of Tap water in Baghdad
by: Baghdad Science Journal
Published: (2014-06-01) -
Fluoride Removal and Recovery from Groundwater Using an Integrated Reverse Osmosis–Membrane Crystallization Process
by: Wuhib Zeine Ousman, et al.
Published: (2025-05-01) -
Prediction of Expected Fouling Time During Transmembrane Transition in Reverse Osmosis Systems
by: Jozsef Lakner, et al.
Published: (2025-06-01)