Influence Of Hydrologic & Sediment Parameters In Modeling Stream Flow Of Osun River, Osun State Nigeria

CHAPTER ONE

        INTRODUCTION

1.1     Background to the study

The water is the most important natural resource especially in the arid or semi-arid zones that face high population growth, scarcity of freshwater, irregularity of rain- fall, excessive land use change and increasing vulnerability to risks such of drought, desertification and pollution. Thus, the availability and the sustainable use of this resource become the core of the local and national strategies and politics in these regions.

Hydrology is the main governing backbone of all kinds of water movement and hence of water-related pollutants. Understanding the hydrology of a watershed and modeling different hydrological processes within a watershed are therefore very important for assessing the environmental and economical well-being of the watershed. These models can offer a sound scientific framework for watershed analyses of water movement and provide reliable information on the behavior of the system.

The degradation of hydrological resources has made it essential to encourage management practices based on knowledge of spatial and temporal changes in the quantity and quality of water, in order to ensure the suitability of water supplied for different uses. This can be assisted by using hydrological and water quality models to simulate a wide range of processes in hydrographic basins, such as the production of water and sediments and the dynamics of point and nonpoint sources of pollution.

Hydrological models are powerful tools to represent water-resource availability and behavior in drainage basins under many applications, such as climate change, flood, drought, runoff and nutrient movement (Abbaspour et al., 2015). They can assist in the planning and decision-making processes for environment protection and the guarantee of water availability for future uses (Da Silva et al., 2015; Fatichi et al., 2016).

The ability of hydrological model to produce satisfactory predictions is necessarily correlated to adequate sensitivity analysis and model calibration (Song et al., 2015). Hydrological models, such as SWAT, incorporate several parameters (climatic, hydrological and others) obtained theoretically and through field data collection. Some of these contribute greatly to model outputs (sensitive parameters), while others have minor relevance (non-sensitive parameters) (Van Griensven et al., 2006).

Osun is a river that flow southward through southern Nigeria into Lagos lagoon and Atlantic Gulf of Guinea. It is one of the several rivers ascribed in local mythology to have been women who turned into flowing waters after some traumatic event frightened or angered them. Osogbo GPS coordinates are 7˚46’15.74’’N and 4˚33’25.13’’E. Due to the potential of Osun river basin as a major source of water supply, this study will develop a plan that will allow for the sustainable management and treatment of the water in the catchment area.

1.2    Problem Statement

Osun River Catchment main source is one of the major sources of water supply, drinking and commercial purposes. It therefore important to know sensitive hydrologic parameters that contribute and hinder the stream flow out and sediment concentration in the catchment area.

1.3   Aims and Objectives

The main aim of this project is to investigate the use of modeling tool for sensitivity analysis of stream flow hydrologic and sediment parameters. Specific objectives achieved are:

1. Simulation of the hydrological process of the watershed using temporal and spatial data.
2. Prediction of the stream flow and sediments yield of the watershed.

• Determine the influence of the hydrologic and sediment parameters on stream flow and sediment yield prediction.

1.4   Justification

Most rivers are ungauged especially in developing countries and therefore prediction of stream flow for sustainable water management is regarded as an alternative. Prediction of stream flow and sediment yield requires many hydrologic and sediment parameters. Also, calibrating and validating such models are quite cumbersome due to many parameters to deal with.

Therefore, it is very important to carry out sensitivity analysis of the modeling parameters to assist modelers in concentrating effort on most sensitive parameters that affect prediction of stream flow and sediment yield.

1.5   Scope of the Study

This research work is to carry out the sensitivity analysis of hydrologic parameters in modelling stream flow of osun river catchment. The analysis will be based on preliminary modelling results obtained from the modelling of the watershed. Parameters of interest are stream flow out and sediments yield with 31years meteorological data for the modeling exercises.

Model calibration and validation were not part of the scope covered in this research work.

1.6   Description of the Study Area

Osun is a river that flow southward through central Yoruba land in southern Nigeria into Lagos lagoon and Atlantic Gulf of Guinea. The Osun River is located within Osogbo Local Government Area of Osun State, Nigeria. It falls within Longitude 7˚46’15.74’’N and latitude 4˚33’25.13’’E. It is one of the several rivers ascribed in local mythology to have been women who turned into flowing waters after some traumatic event frightened or angered them. The map of the study area is as shown in Figure 1.1

                   Figure 1.1 Map of Nigeria show location of the Study Area

CHAPTER FIVE

CONCLUSION AND RECOMMENDATION

5.1     Conclusion

In this research, SWAT model was successfully applied to simulate stream flow and sediment yield at Osun River, preliminary model showed that the Maximum value of average stream flow was 2,709.81 m3/s in the year 1998 and Minimum average stream flow was 297.17 m3/s in the year 2003. While maximum sediment yield was 80,584.06 mg/l in the year 2007 and minimum sediment yield was 14,045.04 mg/l in the year 1997.

Also, revealed the paramount parameters influencing stream flow and sediment concentrated in the watershed, preliminary result show that curve number (Cn2) has the highest sensitivity with a ranking value of 38.9% for stream flow while linear parameter for calculating sediment routing (Spcon) has the highest sensitivity with a ranking value of 19.16% for sediment concentration in the watershed.

5.2     Recommendation

1. Further research to be carried out on the validation and calibration of the model to improve the model performance
2. The result of this research work can be adopted by local authentication of the area for sustainable management of the watershed.