Therefore, the ratios of the observed to the predicted SSC along the depth were calculated at each

cross-section. Figure 5 and Figure 6 show results for cross-sections T1 and T2 respectively. At each cross-section two monitoring points, one in shallow part and the other in deeper part were considered. In each figure, the plots in the left show the ratios during a whole ebb phase and the ones in the right show the ratios for duration of a flood phase. The monitoring point in a shallow part of the cross-section and its corresponding results are shown in blue and those for the deep part are presented in red. It is obvious on the figures that observed SSCs in shallow parts are appreciably higher than predicted ones. It can also be seen Selleck Torin 1 that the ratio of observed to predicted SSCs are much larger during the ebb phase than that during flood phase especially in near bed layers. It can be seen from the results that the deviation between the model results and field data do not show similar trend along the depth. Taking into account that the model has been calibrated against SSC, observing such deviation can be attributed mostly to the field data. Therefore dissimilarities

observed specifically in selleck inhibitor the shallow regions are expected to be related to the existence of some error in measuring devices. Existence of biological matter and generation of air bubbles in such regions can be counted as the reason for the error in measuring device. Suspended sediment concentrations measured in the field using transmissometer were compared with those derived from Delft3D model. Dissimilarities between the modelled and

measured SSC were mainly observed in the shallow regions of cross-sections T1 and T2. This was supposed to be partly due to in situ measurements’ shortcomings and partly was attributed to the imperfections of the theoretical modelling approaches incorporated in the Delft3D software. Wide range of particle size distribution in shallow water areas could be counted as a possible reason for the dissimilarity observed. Gordon and Clark (1980), Bishop (1986), Moody et al. (1987) and Bunt et al. (1999) reported Non-specific serine/threonine protein kinase that the variation in particle size distribution is the most influential physical characteristic of the sediments on the response of optical devices. Bunt et al. (1999) suggested that variations in floc size could double the variation in instrument response for similar mass concentrations. Existence of biological matter in shallow water area can also affect the recorded data by transmissometer. As pointed out by Walker (1981), biological matters such as chlorophyll-a and phytoplankton even though relatively insignificant by mass, their effect on the response of optical instruments is significant. These organisms are known to be active in the shallow areas where light is sufficient. The sticky nature of these particles causes flocculation between the fine particles.