Natural organic matter (NOM) in water can cause color, taste, and odor problems. It may increase coagulant dosage and disinfectant demand, which resulting in increased sludge and potential harmful of disinfection by-products (DBPs), cause fouling in membrane process, and promotes bacterial re-growth in the distribution system. Moreover, NOM may be a precursor for the formation of harmful disinfectant by-products (DBPs) during chlorination process. Hence, NOM should be removed in the drinking water treatment process. Thus, the aim of this thesis is to characterize natural organic matter through water treatment process train in order to understand the dominant component of organic matter contained in the water and their transformation through the treatment process.
In this study, water sampling can be divided into two groups, that are Lu Jhu water treatment plant (LJWTP) and natural water (river water) around LJWTP. In addition to bulk NOM parameters, such as NPDOC, UV254 and SUVA, HPSEC-OCD and F-EEM methods were used to characterize various NOM fractions in water samples. Peak-fitting was applied to resolve the chromatographic peaks of HPSEC and provide quantitative information, while average fluorescence intensity (AFI) was used to obtain the fluorescence intensity in each region of F-EEM.
The results show that seasonal variation and time are the factors that affect the concentration of NOM and its constituents in natural water. The change from wet to dry season cause an increase of NOM content. Tracking the concentration of NOM in water treatment process train shows that the removal of NPDOC through the whole treatment process train is about 20%, and the majority is due to the removal of high molecular weight fractions. The highest is biopolymers, and the next is humic substances. Furthermore, by using PARAFAC analysis of the F-EEM spectra, it can be seen that humic substances, mainly fulvic acids, and aromatic protein-like (II) (tryptophan-like) are the two major NOM components contained in the water. In addition to bulk parameter analysis, such as NPDOC and SUVA, HPSEC coupled with on-line detectors and FEEM are useful tools to deliberate the NOM constituents in the source water and to trace their transformation through the water treatment processes.

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