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                <term xml:lang="en">mixing experiments</term>
                <term xml:lang="en">Solar Irradiation</term>
                <term xml:lang="en">parallel factor analysis PARAFAC modeling</term>
                <term xml:lang="en">Fluorescence Spectroscopy</term>
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              <p>Organic matter has an important role in biogeochemistry in aquatic environments. This study investigated impact of suspended particulate organic matter (SPOM) on fluorescence signal of mixtures of three water types (River water RW, Sea water SW, effluent wastewater WW) using three-dimensional excitation emission fluorescence spectroscopy (3D-EEMs) and Parallel factor analysis PARAFAC and multilinear regression. Four irradiation experiments (Exp.1, Exp.2, Exp.3 and Exp.4) were conducted during different times of year (two in autumn, one in winter and one in spring season). Samples were exposed to natural sunlight on laboratory rooftop in University of Toulon, France, with another set of samples were kept in dark as control samples. Three components (C1,C2, C3) model was validated by split-half and Concordia from the whole EEM dataset of all irradiation experiments. No protein-like fluorophores or PARAFAC components was found. The study revealed the effect of SPOM presence/absence on fluorescence signal of DOM and on resulting parameters of multilinear regression MLR model and kinetic constant of these MLR parameters. Kinetic constant (k) for all MLR coefficients was in order of greatness as Exp.1 (SPOM of WW only in mixtures) &gt; Exp.3 (SPOM of SW only in mixtures) &gt; Exp.2 (SPOM of RW only in mixtures)&gt; Exp.4 (All SPOM of RW, SW, WW in mixtures) indicating that SPOM of WW is the most resistant to photodegradation. For dark control samples, only relative standard deviation RSD could be calculated from dataset. RSD values for C3 were the highest indicating its chaotic variations and the lowest RSD values were found for both C1 and C2 for all experiments. Statistical differences has been found between control and irradiated experiments. These models developed in this study can be used to predict fluorescence signal of anthropogenic effluent DOM during its transport in river systems to coastal zone.</p>
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