Tag Archives: Water discharge

Modeling the evolution of sediment discharge based on liquid flow rates of the Mewou river in the Mifi basin (Published)

The objective of this study is to evaluate and to model the evolution of sediment discharge depending on the liquid flow of the Mewou River in the catchment of the Mifi. The amount of exported soil was determined by oven drying of the    water samples collected from the Mewou River at 105 °C. The MATLAB software has enabled us to simulate the evolution of sediment discharge based on liquid flow rates. The evolution of sediment discharge based on liquid flow rates obtained in this study is characterized by the polynomial model of equation nine degrees a correlation coefficient of 0.9999 and a determining coefficient of 0.9998:

Qs = a* Ql 9 + b* Ql 8 + c* Ql 7 + d* Ql 6 + e* Ql 5 + f* Ql 4 + g* Ql 3 + h* Ql 2 + i* Ql + j

This equation is more representative than the power model « Qs = a*Qlb »  which has a correlation coefficient of  0.9891 and a determining coefficient of 0.9783 or the power model « Qs = a*Qlb + b » which has a correlation coefficient of 0.9934 and a determining coefficient of 0.9868 developed by other authors.

Keywords: Model, Water discharge, function, sediment discharge, simulate

Hydraulic Characteristics and Relationship of the Oromineke Catchment in Diobu, Port Harcourt, Rivers State, Nigeria (Published)

This work is focused on the hydraulic characteristics and relationship of Oromineke catchment with a view to determining the intra and inter-process relationships and process-form of the river catchment. To achieve the objectives of the study, data were collected from field work survey, laboratory analysis and topo map analysis. Field data included those of stream velocity, channel width, channel depth, and water discharge while laboratory analysis entails the determination of the amount of suspended sediment yield. Map analysis entailed the determination, delineation and calculation of the river catchment characteristics. The data so collected were subjected to the Pearson’s Product Moment Correlation Coefficient technique and the step wise regression analysis. This was achieved by regressing channel Cross-sectional area (A), the dependent variable, on water discharge (Q), Suspended Sediment Yield (SY), and distance from the river source (D), the independent variables. The study reveals that a strong (positive) relationship exists between channel cross-sectional area and water discharge within Oromineke channel, the latter predicting as much as about 80.34% of the variations in the former. This is in agreement with deduced theoretical postulations contained in the work. Furthermore, the result depicts a strong association of (0.9186) between suspended sediment yield and water discharge. Recommendation has been advanced accordingly.

Keywords: Channel Cross-sectional area, Channel width-depth ratio, Oromineke catchment, Suspended sediment yield, Water discharge