MANAGING AND MODELING OF THE DRINKING WATER TREATMENT PLANT SLUDGE

Authors

  • M. Farhaoui National Office of Electricity and Drinking Water, Morocco

DOI:

https://doi.org/10.29121/granthaalayah.v5.i2.2017.1719

Keywords:

Sustainable Management, Coagulation, Turbidity, Sludge, Model

Abstract [English]

Water management is a key pillar of sustainable development. Indeed, the rational use of water has become a condition for new investments in the water sector as many sectors. Optimizing the production of drinking water is one aspect. This optimization involves not only the choice of water resource use but also the management of by-products of the water treatment process to manage sustainably the exploited water resources.


The city of Meknes is watered from two sources and a set of holes (14), the turbidity of water sources can vary depending on rainfall recorded in the region. A water treatment plant (600 l/s) was performed for the purification of water sources. Through this study, we focus on modeling of sludge volume produced by this plant.  The objective is to design a model for calculating the sludge volume from the actual data recorded in the plant. The model ca be used by the operator to predict the sludge volume and can be used also by the designers.


The results of this study demonstrated that the volumes calculated from the model constructed considering the data recorded at the station perfectly match the volumes produced with a determination coefficient of 100%.


The application of this model can not only provide the operator with an effective tool for managing of the station by-products but also to provide designers with a formula to prevent over/under design of structures. Therefore, these measures help to optimize the cost of production of drinking water and will play an important role in the sustainable development of water resources.

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Published

2017-02-28

How to Cite

Farhaoui, M. (2017). MANAGING AND MODELING OF THE DRINKING WATER TREATMENT PLANT SLUDGE. International Journal of Research -GRANTHAALAYAH, 5(2), 168–179. https://doi.org/10.29121/granthaalayah.v5.i2.2017.1719