Abstract
Particle shape of wastewater effluents were investigated by implementing a dynamic particle image analyzer which provided data on the particle count, size, shape and circularity concurrently with images. The goals of this study were to characterize removal efficiency based on size and shape parameters for an in-line filtration process and to study correlation between size and shape parameters. Results showed that filter removal efficiency can be determined by various size and shape parameters, where different information is obtained for each analysis. This method has potential in evaluating treatment process efficiencies by coupling size and shape parameters into a meaningful tool.
| Original language | English |
|---|---|
| Pages (from-to) | 1737-1753 |
| Number of pages | 17 |
| Journal | Separation Science and Technology |
| Volume | 43 |
| Issue number | 7 |
| DOIs | |
| State | Published - May 2008 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation -
SDG 11 Sustainable Cities and Communities
Keywords
- Circularity
- Effluent
- Feret diameter
- Filtration
- Image analysis
- Particle shape
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