Descriptive and multivariable analysis of the water parameters quality of Sfax sewage treatment plant after rehabilitation
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
This study detailed the effect of simultaneous multiple intrinsic and extrinsic factors on the characteristics of Sfax activated sludge wastewater treatment plant (WWTP), located in Southern East Tunisia. The plant performance was evaluated through descriptive and statistical analysis of quantity and quality data of both raw wastewaters and treated effluent over a period of three years (2008 – 2010). Despite the rehabilitation, poor performance was shown to be attributed to raw wastewaters quality, civilization populations, bad functioning of the aerators and the industrial fallouts and deposits. Therefore, the downstream values of BOD5, COD, SS, FC, FS, TKN and TP are enough to achieve a final effluent that would meet the Tunisian standards limit. Multiple regression analysis showed that removal efficiencies of BOD5, COD and SS can be predicted to reasonable accuracy (R 2 = 0.973, 0.946 and 0.925, respectively). Goodness of the model fit to the data was also evaluated through the relationship between the residuals and the model predicted values of BOD5r, CODr and SSr. The advantage of this model is that it would allow a better process control.
Authors and Affiliations
Dalel Belhaj
A Block Cipher Based Cryptosystem through Modified Forward Backward Overlapped Modulo Arithmetic Technique (MFBOMAT)
In this paper, a new Cryptosystem based on block cipher has been proposed where the encryption is done through Modified Forward Backward Overlapped Modulo Arithmetic Technique (MFBOMAT). The original messag...
ComparativeAnalysis of Automated Image-Tagging Techniques
Abstract: Smart phones with cameras having powerful built-in sensors tend to meet at a point towards theproblem of automatic image-tagging. So such an out-of-band approach is valuable, especially with increasingdev...
Twitter Sentiment Classification on Sanders Data using HybridApproach
Abstract : Sentiment analysis is very perplexing and massive issue in the field of social data mining. Twitter isone of the mostly used social media where people discuss on various issues in a dense way. The tweets about...
Ensuring Distributed Accountability for Data Sharing Using Reversible Data Hiding in Cloud Over-Lay Network
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images, since it maintains the excellent property that the original cover can be lossless recovered after embedded data is &nb...
The Architectural Design of Healthcare Service with Big-Data Storing Mechanism
Abstract: Healthcare is the diagnosis, treatment, and prevention of disease, illness, injury, and other physical and mental impairments in human beings. Healthcare is delivered by practitioners in allied health, de...