TABLE OF CONTENTS
CHAPTER ONE
Introduction
1.1 Background of the Study
1.2 Statement of Problem
1.3 Aim and Objectives
1.4
Justification
1.5
Scope
CHAPTER TWO
2.0 Literature
Review
2.1 Watershed Hydrology
2.2 Brief Description of Selected Hydrology
Models
2.2.1.
AGNPS Model
2.2.2. HSPF Model
2.2.3 WEAP
2.2.4 REALM
2.3
Geographic Information System (GIS)
2.4 Watershed hydrological modeling
2.5 Previous Studies on Variation of Sediment
Yield and Runoff Generation
2.6 SWAT
Model
2.7 SWAT Input Data and Management Assumptions
2.8 SWAT Model Description
CHAPTER THREE
METHODOLOGY
3.1 Model Selection and Description
3.2 Generalization of the Study Area
3.2:1.
Study Area
3.3 Model Input Data
3.3.1 Digital Elevation Model (DEM)
3.3.2 Land Use Map of the Watershed
3.3.3 Soil Map
3.4 Weather Data
3.5 Swat Model Set-Up and Run
3.5.1
Model Setup
3.6 Watershed Delineation
CHAPTER FOUR
4.0 RESULT
AND DISCUSSION
4.1 Results
4.1.1 Variation of Total average means Surface Runoff
and Sediment Yield
4.1.2 Variation of average annual means Surface Runoff
and Sediment Yield
4.1.2 The Spatial variation Of Average Annual Means
Of surface run off and Sediment Yield
CHAPTER FIVE
5.0 CONCLUSION
AND RECOMMENDATION
5.1 Conclusion
5.2
Recommendation
REFERENCES
CHAPTER
ONE
1.0
INTRODUCTION
1.1 Background
of the study
Sediment
yield refers to the amount of sediment exported by a basin over a specific
period of time, with amount that will enter a reservoir located at the
downstream limit of the basin also Runoff is described as the part of water
cycle that flow over land as surface water instead of been absorbed into ground
water or evaporation.
With
current pace of development and increase in population water resource shortage and
soil loss as become a major
threat in Bida watershed basin which as cause major disaster around the
Vicinity.
Sediment transport is an important part in
the quantitative and qualitative management of river in engineering.
The rate of sediment transport in water
bodies depends on availability of transport materials and transport capability of
the water bodies, The subject of sediment yield modeling has attracted the
attention of many scientists but lack of data, resources and widely accepted
methods to predict/estimate sediment yields are some of the barriers against
this direction of research, Summer et al., 1992.
Cases that distributed and process based
mathematical models such as SWAT could be a potential tool in predicting and
estimating sediment yield especially at a catchment scale. Application of the
distributed and process based models could minimize the uncertainty resulting
from assuming lumped, stationary and linear systems. Besides, the SWAT model
has particular advantages for the study of basin change impacts and
applications to basins with limited records (Bathurst, 2002; Ndomba, 2007).
The runoff component of the SWAT model supplies estimates of
runoff volume and peak runoff rate using the curve number method (SCS, 1972)
and modified rational method, respectively, which, along with the sub-basin
area, are used to calculate the runoff erosive energy variable. The crop
management factor or cover management factor is recalculated every day that
runoff occurs. It is a function of above-ground biomass, residue on the soil surface
and the minimum cover factor for the plant. The KUSLE factor is estimated using
an equation proposed by Mulengera and Payton (1999) for tropics. Other factors
of the erosion equation are estimated as described by Neitsch et al. (2005).
Watershed is an area of land that drains all
the streams and rainfall to a common outlet. Essentially a watershed is all the
land and water area which contributes runoff to an outlet in the main flow
channel, Watersheds are significant because the stream flow and the water
quality of a river are affected, human-induced or natural, happening in the
land area “above” the river-outflow point. The environment worsening of a
watershed is a common occurrence in most parts of the world.
Among several causes the major one are
improper and unwise utilization of watershed resources observed in developing
countries, Watershed management implies rational utilization of land, soil, and
water resources for optimum and sustained production with minimum hazards to
natural resources and environment, Soil erosion is a serious global issue
because of its rigorous adverse economic and environmental impacts.
Economic impacts on productivity may be due
to direct effects on crops/plants both on-site and off-site, and environmental
consequences are primarily off-site related to the damage to civil structure,
siltation of water ways and reservoirs, and additional costs involved in water
treatment . This study employs the SWAT (Soil and Water Assessment Tool) model
to take advantage of its integration with GIS (Geographic Information System)
and locally available data and data from similar areas that can be used to
calibrate and validate the model, so that runoff and sediment yield from the
watershed can be predicted and most problematic sub-basins can be identified.
1.2
STATEMENT OF PROBLEM
Temporal variation of sediment yield and
runoff are important parameters for sustainable management of watershed around
the world. As commercial development continues at record levels, both the
quantity of runoff generation and sediment yield are issues that need to be looked
at, carefully. The challenge of how to know the runoff coefficient due to heavy
rain fall, and sediment yield in the catchment to be able define for the
subsequent year.
1.3 AIM
AND OBJECTIVES
The
aim of this research to investigate the spatial and temporal variation of
sediment yield and runoff in Bida watershed, Specific objectives achieved are
i.
Simulation
of the hydrological process of the watershed
ii.
Prediction of the surface runoff and sediment
into watershed
iii.
Development of
spatial variations map of sediment
yield and runoff
iv.
Development
of temporal variations map of sediment yield and runoff
1.4 Justification
Spatial and temporal variation of sediment
yield and surface runoff in the catchment area can serve as a decision support
tools for stake holders in sustainable management of the watershed
1.5 Scope
In this research Hydrological modelling was performed for
31 years (1986-2016) using both spatial and temporal data. Also, the analysis was
based on preliminary results of the modelling .Calibration and validation was not part of the scope in this
research work.
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