As of the beginning of 2017, more than four years after opening, Zaatari refugee camp in the Hashemite Kingdom of Jordan hosts around 80,000 Syrian refugees. Zaatari is one of the largest refugee camps in the world, in one of the most water scarce countries. Since its establishment, drinking water has been trucked to communal facilities. Wastewater has been trucked from these facilities and from self-constructed storages next to households. To improve future sustainability in equitable water and sanitation access, public health conditions, environmental conservation and operational costs, household connected water and sewage networks are implemented. This shift from emergency to sustainable phase benefitted from adaptation of urban infrastructure methods. Maximising such investment requires stakeholder and project management, throughout design and implementation, for quality control of all processes and outputs, asset management and administrative strategies. A shift is necessary from a humanitarian approach toward a structured master planning vision. The planning urban utility perspective is essential for ensuring operational sustainability in the conception of water and sanitation systems in Zaatari refugee camp.

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The application of ozone in water treatment serves many purposes, such as disinfection and degradation of organic micro-pollutants. To optimise the applied ozone dosage by on-line control, real-time information on the actual Ct value, the bromate and assimilable organic carbon concentration (AOC) is necessary. With UV/Vis spectroscopy, algorithms have been developed for the on-line determination of the Ct-value and the formation of bromate and AOC during ozonation. It was shown that these algorithms allow for the calculation of the optimal ozone dosage and provide a reliable indication of the amount of bromate and AOC formed during ozonation.@en

Softening at drinking water treatment plants is often realised by fluidised bed pellet reactors. Generally, sand is used as seeding material and pellets are produced as a by-product. To improve to sustainability, research has been carried out to replace the seeding material by re-using grained and sieved calcite pellets as seeding material. An explicit fluidisation model is developed to predict the fluid bed state in fluid bed pellet softening reactors with calcite as seeding material. The fluidisation theory is extended in a model whereby soft sensors are derived and experimentally tested for a wide range of seeding material and pellets. With the soft sensors porosity, particle size and pressure drop can explicitly be calculated. Pilot research has been carried out to calibrate and full-scale experiments to validate the fluidisation models. Four different fluidisation models were reviewed from which the original Richardson-Zaki fluid bed model has been selected as the best explicit fluidisation model to predict the porosity, particle size and pressure drop. Applying a discretisation model for the fluid bed pellet reactor, the current operation of the treatment softening can be improved by estimating the fluidisation, pressure drop behaviour and particle profile. Waternet can apply the Richardson-Zaki fluid bed model in practice for building a soft sensor to achieve optimal bed fluid conditions for the softening process.@en