ehab helmy

Citation:

Khalifa, W. A., H. Abdelhalim, and E. Rozaik, IMPACTS OF WATER DISTRBUTION SYSTEM DESIGN PARAMETERS ON WATER AGE, , 2014.

Abstract:

ABSTRACT:
Many utilities choose water age as water quality indicator because lower water age indicates better water quality and excessive age can cause problems with disinfection by-products (DBPs). This is a hot topic because EPA's Stage 2 Disinfectants and DBP Rule requires utilities to conduct Initial Distribution System Evaluations(IDSEs) that select DBP sampling sites. DBP compliance monitoring will begin in 2012 or 2013, depending on the population supplied.
So, almost utilities chose to conduct their IDSEs using hydraulic models as an alternative to extensive monitoring programs. Models are advantageous because in addition to calculating water age for existing conditions, they can predict what would happen. If operating procedures change, it’s easier to test ideas in a model than to subject a real distribution system to the process of trial and error.
In This study, the software simulations were performed to determine water age value and its dependency on several design parameters (demand planning ,pipe length, roughness coefficient , flow velocity and network pressure). In this case, the results show demand have biggest impact on age from all design which studied.

ABSTRACT:

Many utilities choose water age as water quality indicator because lower water age indicates better water quality and excessive age can cause problems with disinfection by-products (DBPs). This is a hot topic because EPA's Stage 2 Disinfectants and DBP Rule requires utilities to conduct Initial Distribution System Evaluations(IDSEs) that select DBP sampling sites. DBP compliance monitoring will begin in 2012 or 2013, depending on the population supplied.

So, almost utilities chose to conduct their IDSEs using hydraulic models as an alternative to extensive monitoring programs. Models are advantageous because in addition to calculating water age for existing conditions, they can predict what would happen. If  operating procedures change, it’s easier to test ideas in a model than to subject a real distribution system to the process of trial and error.

In This study, the software simulations were performed to determine water age value and its dependency on several design parameters (demand planning ,pipe length, roughness coefficient , flow velocity and network pressure). In this case,  the results show demand have biggest impact on age from all design which studied.