Water utilities typical have a limited amount of data about the pipe networks (sanitary sewers). Such data is also usually of poor – medium quality, stored and used in a manner that prevents the obtaining the most efficient outcomes for effective asset management and decision making. Furthermore, the effect of the condition of such data and its use also propagates the presence of data silos and reduces the understanding of the network effects of operational disturbances i.e blockages in sanitary sewers.
Emmanuel's research investigates methods and approaches that enable increased proactive and predictive analytics to be utilised with available data in the maintenance planning of separate sewers to decrease operational disturbances. These methods also aim to increase the understanding of the network effect and decrease silo mentality.
Emmanuel Okwori has a B.Eng. in Water Resources and Environmental Engineering from Ahmadu Bello University and an M.Eng. In Civil Engineering specializing in Civil Infrastructure Management and Maintenance from the University of Cape Town.Industry experience includes Water Supply and Sewer Pipeline Design, Drainage Design, Hydraulic & Hydrology Design and Construction Site Supervision Management for both brown and green field projects including flood alleviation and Gully erosion sites across Africa and Australia. Including 3D modelling of hydraulic infrastructure.