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Longshore sediment transport is considered as one of the most important and influential factors in the functioning of coastal areas. Forecasting and determining the rate of this parameter along the coast and in the vicinity of coastal structures is one the most important for shoreline management during any construction and coastal management mission. This study aims to put different pieces of knowledge together, including field measurements, neural networks, and numerical modelling to obtain a more realistic estimation of the LST rate along the undeveloped Makran Coastline. The focus of this paper is mostly on accurate wave and sediment transport modelling, verified against available field data and morphological evidence. A neural network for the correction of wave data and a numerical model of Mike21 is applied for simulating the transportation process of sediments along the Makran Coastline. Zarabad port on the coast of Makran has selected the case study of this research. The results of this study showed that the observed data are not in good agreement with the output data of the model (except wave height) and need to be modified with the neural network and considering the effective parameters such as the different conditions of the waves in the monsoon and non-monsoon seasons in the Neural network. Neural network can help a lot in improving and correcting data. The results also showed that the sediment transport process occurs in different directions and depending on the wave height at depths more than 4m and at greater depths the sediment transport is insignificant, also, wave force in the region is able to transfer approximately 235000 m3 / year sediment. [ABSTRACT FROM AUTHOR]

This paper represents an analytical study, simulation (flow field and sediment movements), and estimation of the sediment deposition for the Al- Betera river reach upstream of Al-Betera regulator – Maysan Governorate–Iraq. Field measurements techniques and SSIIM Model were used for these purposes. A river reaches with a length of 4250m was chosen and divided into 17 cross-sections. The Model solves the Navier – stokes equations for calculating the water velocity with a k-ε model for predication the turbulence (shear stress). The Model is a stepping stone in the field of Computational Fluid Dynamics (CFD). The sediment rating curve was established by using the historical data (1984-2014) of the suspended sediment loads and river discharge which considers as a reference for researchers who are interested in the field of sediment transport. The plan form of river morphology was classified as a straight (1.07 sinuosity) for the period 1986, 2007and 2014. In this study, a new sediment load transport rate equation by using multiple linear regression analysis was developed. The results of the evaluation showed that the new model performs better than many Researchers [Ackers(1973), Yang(1996), Van Rijn(1987), Ariffin (2004), and Jassim (2012) ]. A graphical representation of 3D velocities was obtained by simulation and by using Power-law Scheme (x-y,y-z,x-z planes). Good agreements were found between the simulated and measured values of the flow velocity and sediment concentration in 3D for the selected 3 nodes in the y-direction and for 3 depths of flow ...

The aim of this research is hydrodynamic analysis for Tigris river reach upstream the Third Bridge in Mosul city, and this reach have three islands changing the flow characteristics of Tigris river in the study area. Two dimensional mathematical model in SMS10.1 with geographical information system and satellite data are using to build the conceptual model for study area. The results showed that the efficiency of the mathematical model in analysis of Tigris river in the study area especially the results were presented by digital maps explain (water surface elevation, flow depth, shear stress, flow velocity, scour and deposition locations), in addition predications the shape of the Tigris river reach in the study area in the future. [ABSTRACT FROM AUTHOR]