Shop

STUDY OF WASTE STABILIZATION POND GEOMETRY FOR THE WASTEWATER TREATMENT EFFICIENCY

eBook (PDF), 23 Pages
This item has not been rated yet
Price: Free
Pond design involves several physical, hydrological, geometrical and dynamic variables to provide high hydrodynamic efficiency and maximum substrate utilization rates. Computational fluid dynamic modelling (CFD) allows the combination of these factors to predict the behavior of ponds by using different configurations. The two-dimensional depth-integrated model SMS was used in this study to simulate of hydrodynamics and water quality. A set of 12 configurations including baffling and pond geometry were modeled. The model was run at steady state case with raw wastewater to study the effect of the assumed rectangular shapes and dimensions with constant area, for various values of water depth, flow rate and hydraulic retention time (HRT) of raw wastewater. The model was also run for different rectangular shapes with baffles; the area was manipulated by increasing the ratio between rectangular width and length as 1, 2, 3 and 4 times respectively.
Available in PDF Format

Ratings & Reviews

Log in to review this item
There are no reviews for the current version of this product
Refreshing...
There are no reviews for previous versions of this product
Refreshing...

Product Details

Publisher
Hamdy Ramdan
Published
November 3, 2011
Language
English
Pages
23
File Format
PDF
File Size
2.62 MB

Formats for this Ebook

PDF
Required Software Any PDF Reader, Apple Preview
Supported Devices Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch... (See More)
# of Devices Unlimited
Flowing Text / Pages Pages
Printable? Yes
Report This Content to Lulu >

Moderation of Questionable Content

Thank you for your interest in helping us moderate questionable content on Lulu. If you need assistance with an order or the publishing process, please contact our support team directly.

How does this content violate the Lulu Membership Agreement?

Keywords

Listed In

More From Hamdy Ramdan