Coagulation/ Flocculation Workshop

Big data analysis for water supply and sanitation is important for ensuring urban viability. Our research is devoted to studying the methodology for analyzing big data of the water supply and sanitation systems. Based on a review of scientific publications and their analysis, a model for analyzing large data was proposed. It comprises information sources, data collection and storage platforms with indication of parameters for the programming model, runtime and storage environment, as well as data analysis and processing.

The goal of this project is to validate proof-of-concept testing for iron enriched granular activated carbon (GAC) composites (aerogel-GAC or iron-oxide impregnated) as a viable adsorbent for removing arsenic from groundwater and conduct technical and economic feasibility assessments for these innovative processes. Specific project objectives include: • Conduct batch experiments for aerogel-GAC and Fe-oxide impregnated GAC composites to evaluate their performance removing arsenic. • Evaluate Fe-GAC media performance in rapid small scale column tests (RSSCTs) to assess arsenic removal in a more dynamic treatment system. • Evaluate Fe-GAC potential for removal of other contaminants (e.g., methyl tertiary butyl ether, dissolved organic carbon). • Characterize Fe-GAC media. • Correlate performance and media characterization for possible selection of two media for a future second phase of this project.

Introduction: Desalination using seawater reverse osmosis (SWRO) technology is an important option available to water-scarce coastal regions. Worldwide sea water desalination is a very effective and economical way of producing potable water for drinking and industries. Reverse osmosis plants to convert sea water to potable drinking water and for other usages have been prevalent throughout the world for more than 4 decades. Design and operation of seawater reverse osmosis plants strongly depend on the raw seawater quality to be treated. The performance of desalination reverse osmosis (RO) systems relies upon the production of high quality pre treated water, and the selection of the best pre treatment technology depends on the raw seawater quality and its variations. Number of full-scale experiences has shown that pre treatment is the key for this application of reverse osmosis technology. It is why during these last years, an import effort has been done to identify and to characterise the diverse organic and mineral components present in the seawater in a view to optimise the seawater pre-treatment and to develop advanced analytical methods for feed water characterization, appropriate fouling indicators and prediction tools. This Chapter describes firstly a comprehensive approach to characterize raw seawater samples through analytical tools which allow the knowledge of the characterization of seawater from many aspects: (a) inorganic content, (b) natural organic matter, (c) enumeration of micro-organisms and phytoplankton. Secondly, this Chapter describes the effect of each of these parameters on the fouling of the reverse osmosis membrane. Finally, this chapter describes the different possible pre treatments available to reduce or remove the elements or substances up-stream reverse osmosis stage.