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Advanced technologies for treatment of industrial and coastal waters of the mediterranean region 1


A literature survey reveals the presence of high levels of persistent organic pollutants (POP's) and toxic inorganic species (phosphates and toxic metal cations) in the Coastal areas of Mediterranean Countries due to the discharge of industrial wastewater to the sea without treatment: As a result, public health and aquatic life have been seriously affected. Thus, following the selection of 3 pilot zones in Morocco, Tunisia and Lebanon, this proposal aims to develop novel technological approaches (making use of regional resources) for industrial (prevention) and coastal (remediation) water treatments with a higher degree of efficiency than existing ones. Advanced water technologies is a specific measure addressed in the Call (INCO 2002-B.1.3). These treatment s are based on (i) the production of easily recyclable and low cost receptors grafted into regional silicates (modified silicates) for the removal of phosphates and POP's from industrial and coastal waters of the Mediterranean Region, (ii) the use of soil-applied mobilised receptors aiming to enhance the uptake of toxic metal cations by regional plants. These objectives are to be fulfilled as follows, 1. Search on water chemistry of Coastal Areas and industrial effluents. Knowledge about the speciations pre sent is crucial for the design of selective receptors. Samples of industrial, coastal and fresh water pilot zones would be investigated by electrochemical methods. On these basis steps 2 and 3 will be undertaken. 2. Design of immobilised receptors. Recepto rs to be attached to silicates are a) cyclodextrins (known to form inclusion and exclusion adducts with apoiar substances), aminocalix(4)arenes (basic centers for interaction with acidic toxic phenols), calix(4)pyrrols (interact selectively with phosphates ). Several techniques are to be used to characterise the modified silicates. The synthetic protocol will be accompanied by computer simulation studies. Optimum #'

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