Settling velocities of coarse organic solids
Aaron J Pietsch1, John A Chapman2
1Department of Bioproducts and Biosystems Engineering, University of Minnesota, Twin Cities, 1390 Eckles Ave, Saint Paul, MN, 55108, USA. piets017@umn.edu.
Scientific Reports
|August 1, 2023
Summary
Understanding organic particle settling velocity is crucial for stormwater modeling. This study found that averaging the drag coefficient (C2) by particle type improved predictions using the Ferguson and Church Equation.
Area of Science:
- Environmental science
- Hydrology
- Fluid dynamics
Background:
- Settling velocity is key for stormwater modeling, predicting particle fate and nutrient loading.
- Inorganic particle settling is well-understood, but organic particles lack standardized estimation methods.
- Organic particles, like leaves and seeds, exhibit variable properties affecting their settling.
Purpose of the Study:
- To investigate the settling velocity of organic particles, specifically tree leaves and seeds.
- To evaluate the applicability of existing settling velocity equations, such as the Ferguson and Church Equation, for organic matter.
- To improve the representation of organic particles in stormwater models.
Main Methods:
- Conducted settling velocity experiments using various tree leaves and seeds.
- Analyzed particle settling data in the context of the Ferguson and Church Equation.
- Investigated the sensitivity of the drag coefficient (C2) to particle type and shape.
Main Results:
- The drag coefficient (C2) in the Ferguson and Church Equation was found to be sensitive to organic particle type and shape.
- Averaging C2 by particle type and species yielded a strong correlation (R² = 0.83) between observed and predicted settling velocities.
- The study provides a refined approach for estimating organic particle settling.
Conclusions:
- The Ferguson and Church Equation, with adjustments for organic particle characteristics, can effectively predict settling velocities.
- Stormwater modelers can better represent organic particles using these findings.
- Further research on diverse organic particle types is recommended to expand the dataset.
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