Abstract
Over the past decade, the National Office of Electricity and Drinking Water (ONEE) has made liquid sanitation one of his strategic missions. Thus, a rigorous follow-up of the purification performances of these various stations is necessary in order to identify their failures and dysfunctions. Among these stations, there is the station of M’Rirt that is part of the Khénifra province, in the Beni Mellal-Khénifra region. The station is spread over an area of 9 ha and is located 3.5 km from M’rirt downtown. The M’Rirt wastewater treatment plant has been operational since June 2003 and has a capacity of 31,000 population equivalents. The treatment of wastewater is done by an extensive purification process, which is natural lagooning. It is designed mainly for the treatment of wastewater from the town of M’Rirt in order to preserve the Tighza wadi in which they are dumped. The M’Rirt station was designed to treat 1800 m3/d of wastewater and a BOD5 pollutant load of around 1200 kg/d (2010 horizon). This natural lagoon station consists of 4 anaerobic basins, 4 optional basins, and 6 drying beds. The analysis of the purification performance of the M’Rirt station from 2013 to 2016 has shown that its purification yield is very low (27%). This state of fact is due on the one hand to the non-conformity of physico-chemical parameters, on the other hand to the hydraulic and the organic overload operation. To solve this malfunction, ONEE proposed transforming the optional lagoons into an aerated stage.
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Acknowledgement
The authors would like to thank the Laboratory of Spectroscopy, Molecular Modeling, Materials, Nanomaterials, Water and Environment, (LS3MN2E-CERNE2D), Mohammed V University; The Water Quality Control Department (DCE), of the National Office for Electricity and Potable Water (ONEE) for their technical support of this research.
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El Alaoui, I., El Hajjaji, S., Saadlah, M. (2019). Monitoring of the Purification Quality of the M’Rirt Station with a View to Its Extension and the Optimization of Its Performances. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 913. Springer, Cham. https://doi.org/10.1007/978-3-030-11881-5_24
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DOI: https://doi.org/10.1007/978-3-030-11881-5_24
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