Predication of sediment transport in al-Abbasyia barrage using the inverse monitoring method

الملخص EN

Iraq has the two biggest rivers, Tigris and Euphrates.

In the past few years, a considerable level drop in these rivers has been observed due to the reduction in upstream water flow rate.

There are many problems concurrent with this drop like the movement of sediment and it's trapped.

In recent years, the science of computational fluid dynamics (CFD) has increasingly been used to investigate sediment transport problems in rivers and reservoirs.

The current presentation will give examples of our research in this topic.

First, the main numerical algorithms for water and sediment flow are briefly introduced.

Then, the data from the numerical model are compared with measurements (Verification).

The second goal is more oriented towards fundamental research and involves idealized flow downstream barrage.

Al Abbasyia barrage was selected as a case study.

It is located near Najaf governorate and controlled the discharges toward downstream land.

This study present the new technique to predicate the sediment movement and its amount called Inverse Monitoring Method (IMM).

The new method was depended on by monitoring the downstream barrage (sediment movement and amount) to find the optimum operation running in upstream.

This study divided to two parts, first one was verification the model in this region and second one was predicate the amount of sediment for one year in study reach.

The CFD model (Simulate Sediment Intake in Multi-block option) was used to do this study.

This Model is new software produced by The Norwegian University of Science and Technology (Olsen, 2006).

Al Abbasyia barrage consist of six radial steel gate.

In each time the CFD model was simulated one gate opening or in operation running for one year.

That mean it has six cases to simulate the best gate.

In this study found the best running gate to reduce the amount of the sediment in upstream was when used gate number four with 7.51 × 104 Ton that mean 28127 m3 as a volume if taken the field density 2670 kg / m3 in consideration.