Using Filter Sand Abrasion to Predict Flow Rate and Filter Bed Management


	Journal of Applied Sciences
	Year: 2004 \| Volume: 4 \| Issue: 3 \| Page No.: 493-497 DOI: 10.3923/jas.2004.493.497

Using Filter Sand Abrasion to Predict Flow Rate and Filter Bed Management

I. Adewumi, O.E. Ojo and O. Aribisala

Abstract: Most Waterworks in Nigeria and other African developing countries still import filter sand from developed countries for the operation of rapid filter beds in water treatment facilities. The variation of the physical characteristics such as permeability (k), equivalent diameter (d_eq) and sphericity (ψ) of three types of filter sand (FS) grains were studied as they were degraded by simulated abrasion. The flow rate and permeability coefficient of raw imported FS at Ado-Ekiti waterworks and a locally-sourced FS at OAU waterworks were the same at 1.5 cm³ s^–1 and 2.79x10^–3 cm s^–1, respectively compared with erosion sand?s values of 1.77 cm³ s^–1 and 3.3x10^–3cm s^–1 for the parameters. At the end of more than 12% degradation, the flow rates for the imported, locally-sourced and erosion sands reduced to 0.45, 0.35 and 0.23 cm³ s^–1, respectively. The coefficient of permeability of the imported, local and erosion FS also reduced to 8.38x10^–4, 6.52x10^–4 and 4.28x10^–4cm s^–1, respectively. The work established that d_eq might be used to predict when the filter media are due for replacement. The method may be useful to engineers for FS material selection and projecting what quantity may be required for stocking a water treatment plant.

PDF Fulltext XML References Citation Report Citation

How to cite this article:

I. Adewumi, O.E. Ojo and O. Aribisala, 2004. Using Filter Sand Abrasion to Predict Flow Rate and Filter Bed Management. Journal of Applied Sciences, 4: 493-497.

DOI: 10.3923/jas.2004.493.497

URL: https://scialert.net/abstract/?doi=jas.2004.493.497

COMMENT ON THIS PAPER

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		AGRIS
		ASCI-Database
		Asian Digital Library
		Chemical Abstract Services
		Google Scholar

Follow @scialert

Science Alert