An Integrated Fouling Monitoring Technique for a Water Treatment Microfiltration Process
β Scribed by W.-H. Chen; Y.-H. Hsieh; K. L. Tung; Y. L. Li; S. C. Lai; N. J. Lin
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 316 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0930-7516
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
An integrated, online fouling monitoring technique that provides dynamic and realβtime information of membrane fouling during a water treatment membrane process was developed. This technique has preliminarily been demonstrated for monitoring particulate fouling in a water treatment microfiltration process using a single photo sensor. The results of the online dynamic analysis suggest that this technique provides in situ measurement of fouling layer thickness, dynamic analysis of the fouling layer structure, and monitoring of water quality during the membrane filtration process.
π SIMILAR VOLUMES
A partial least squares (PLS) regression is used to model and visualize the waste-water treatment process. The score values of PLS are submitted to both a fuzzy C-means (FCM) clustering and a possibilistic C-means (PCM) clustering. In this work, four concepts are presented. Firstly, a hidden path pr
In this work, an integrated PAT approach was developed for monitoring a pharmaceutical (naproxen) and a polymer (eudragit) coprecipitation process: real-time in-line near-infrared (NIR) absorbance monitoring, real-time on-line turbidity monitoring, and in situ crystal size monitoring. The data and i
## Abstract In the research and application of microbial fuel cell (MFC), how to incorporate MFCs into current wastewater infrastructure is an importance issue. Here, we report a novel strategy of integrating an MFC into a sequencing batch reactor (SBR) to test the energy production and the chemica
## Abstract A new strategy using a hybrid linear ion trap/Orbitrap mass spectrometer and multiple postβacquisition data mining techniques was evaluated and applied to the detection and characterization of __in vitro__ metabolites of indinavir. Accurateβmass, fullβscan MS and MS/MS data sets were ac