Summary
Fresh water availability and distribution have been declining over time due to population increase, climate change and variability, emerging new demands due to economic growth, and changing consumption patterns. Spatial and temporal changes in environmental changes, such as climate and land use/cover (LULC) dynamics have an enormous impact on water availability. Food and energy security, urbanization and industrial growth, as well as climate change (CC) will pose critical challenges on water resources. Climate variability and change may affect both the supply and demand sides of the balance, and thus add to the challenges. Land-cover changes are vastly prominent in the developing countries that are characterized by agriculture-based economies and rapidly increasing human population. The consequent changes in water availability and increase in per capita water demand will adversely affect the food, water and energy security of those countries. Therefore, evaluating the response of the catchment to environmental changes is crucial in the critical part of the basin for sustainable water resource management and development. In particular, assessing the contribution of individual LULC classes to changes in water balance components is vital for effective water and land resource management, and for mitigation of climate change impacts.
The dynamic water balance of a catchment is analyzed by hydrological models that consider spatio-temporal catchment characteristics. As a result, hydrological models have become indispensable tools for the study of hydrological processes and the impacts of environmental stressors on the hydrologic system. Physically-based distributed hydrological models are able to explicitly account for the spatial variability of hydrological process, catchment characteristics such as climatic parameters, and land use/cover changes. For improved illustration of physical processes in space and time, the distributed hydrological models need serially complete and homogenized rainfall and temperature data. However, observed rainfall and temperature data are neither serially complete nor homogeneous, particularly in developing countries. Using inhomogeneous climatological data inputs to hydrological models affects the output magnitude of climate and land use/cover change impacts and, hence, climate change adaptation.
The Nile River Basin, one of the transboundary river flows through 11 riparian states, serves the livelihoods of millions of people in the basin (nearly 20 per cent of the African population) and covers one-tenth of the land cover of Africa. The basin is characterized by high population growth and high temporal variability in the river flow and rainfall patterns. The Blue Nile river basin, which contributes 62% of the annual main Nile flow, has faced serious land degradation. This has led to increased soil erosion and loss of soil fertility. The most overwhelming challenge that the basin faces is food insecurity caused by subsistence farming and rain-fed agriculture (over 70% of the basin’s population), together with high rainfall variability. Drought and floods are also critical issues in the Blue Nile basin, with the potential for exacerbation by environmental changes. Understanding how LULC and climate changes influence basin hydrology will therefore enable decision makers to introduce policies aimed at reducing the detrimental effects of future environmental changes on water resources. Understanding types and impacts of major environmental stressors in representative and critical regions of the basin is crucial for developing of effective response strategies for sustainable land- and water-resource management in the Eastern Nile Basin in general, and at the Tana and Beles watersheds in particular.
In this study, serially completed and homogenized rainfall and temperature dataset are maintained from 1980 to 2013 to fill-in the gap which characterized previous studies on trend analyses. The new hydroclimatic data revealed that the climate the study region has become wetter and warmer. The proportional contribution of main rainy season rainfall to annual total rainfall has increased. This might result in high runoff and ultimately flooding as well as erosion and sedimentation in the source region of the Blue Nile, and siltation in the downstream reservoirs unless soil and water conservation measures are taking place.
In the Tana sub-basin, it is found that expansion of cultivation land and decline in woody shrub are the major contributors to the rise in surface run-off and to the decline in the groundwater component from 1986 to 2010. Similarly, decline of woodland and expansion of cultivation land are found to be the major contributors to the increase in surface run-off and water yield. They also contributed to the decrease in groundwater and actual evapotranspiration components in the Beles watershed. Increased run-off and reduced baseflow and actual evapotranspiration would have negative impacts on water resources, especially in relation to erosion and sedimentation in the upper Blue Nile River Basin. As a result, expansion of cultivation land and decline in woody shrub/woodland appear to be major environmental stressors affecting local water resources.
GCMs simulated near-future annual total rainfall and average temperature were used to investigate the sensitivity of the catchment to near-future CC. The results showed an increase in streamflow in the annual and the main rainy season, but decrease in the dry period when compared to the baseline period. Catchment response for future LULC scenario showed opposite effect to that of near-future CC. The combined effects of climate change and LULC dynamics can be quite different from the effects resulting from LULC or CC alone. At the outlet of the Tana watershed, streamflow response is amplified under concurrent land cover and climate change scenarios compared to the baseline scenario; but the streamflow has an augmenting response at the outlet of the Beles watershed under future climate change and land use scenarios compared to that of current period. The important inference from these findings is that it could be possible to alleviate intense floods or droughts due to future climate change by planning LULC to achieve particular hydrological effects of land cover in the basin. Continuing expansion of cultivation land and decrease in natural vegetation, coupled with increased rainfall due to climate change, would result in high surface runoff in the main rainy season, which would subsequently increase flooding, erosion and sedimentation in already degraded lands. Sound mitigation measures should therefore be applied to reduce these adverse environmental consequences. On the other hand, the simulated climate and land-use change impacts on the Tana watershed hydrological regime might increase the availability of streamflow to be harnessed by water-storage structures.
In conclusion, the present study has developed an innovative approach to identify the major environmental stressors of critical source region of the Blue Nile River in order to effectively managing the water resources and climate risk. Understanding the catchment responses to environmental changes improves sustainability of the water resources management particularly given that the hydropower and the irrigation schemes are recently established for energy and food security.:TABLE OF CONTENTS
LIST OF ABBREVIATIONS
LIST OF FIGURES
LIST OF TABLES
1. General Introduction
2. The study area
3. Gap Filling and Homogenization of Climatological Datasets in the Headwater Region of the Upper Blue Nile Basin, Ethiopia
Abstract
3.1. Introduction
3.1.1. Data
3.2. Methodology
3.2.1. Quality control and gap filling
3.2.2. Homogenization
3.3. Results and Discussion
3.3.1. Gap filling
3.3.2. Homogeneity
3.3.3. Verification of the homogenization
3.3.4. Impact of homogenization on the rainfall and temperature series
3.4. Conclusions
Acknowledgements
4. Revisiting trend analysis of hydroclimatic data in the Upper Blue Nile basin based on homogenized data
Abstract
4.1 Introduction
4.2 Data and Methodology
4. 2.1 Data
4. 2.2 Linear trend
4. 2.3 Trend magnitude
4.3 Results and Discussions
4.3.1. Linear mean climate trends
4.3.1.1. Rainfall
4.3.1.2. Maximum Temperature (Tmax)
4.3.1.3. Minimum Temperature (Tmin)
4.3.1.4. Mean temperature (Tmean)
4.3.1.5. Diurnal temperature range (DTR)
4.3.1.6. Streamflow
4.3.2. Effect of homogenization on Tmax, Tmin, Tmean and DTR linear trends
4.3.3. Linear extreme climate trends
4.3.1. Temperature
4.3.2. Precipitation
4.4 Conclusions
Acknowledgements
5. Recent Changes in Land Use/Cover in the Headwater Region of the Upper Blue Nile Basin, Ethiopia 85
Abstract
5.1 Introduction
5.2 Materials and Methods
5.2.1 Data used and image pre-processing
5.2.2 Classification accuracy assessment
5.2.3 Extent and rate of change
5.2.4 Detecting the most systematic transitions (dominant signals of change)
5.4 Results and Discussion
5.4.1 Accuracy assessment
5.4.2 Extent and rate of LULC changes
5.4.3 Rate of land use and land cover change
5.4.4 Detection of most systematic transitions
5.5 Conclusions
Acknowledgements
6. Hydrological Responses to Land use/cover Changes in the Tana and Beles Watersheds, the Upper Blue Nile, Ethiopia
Abstract
6.1 Introduction
6.2 Method
6.2.1 Hydrological modeling
6.2.2 Partial least squares regression
6.3 Results and Discussion
6.3.1 Calibration and validation of SWAT
6.3.2 Impacts of LULC changes on hydrology at the basin scale
6.3.3 Contribution of changes in individual LULCs to hydrological components
6.4 Conclusions
Acknowledgements
7. Combined Impact of Climate and Land Use Changes on Hydrology in the Tana and Beles Sub-Basins, Upper Blue Nile, Ethiopia
Abstract
7.1 Introduction
7.2 Methodology
7.2.1 Simulation
7.2.2 Climate change scenarios
7.2.3 LULC change scenarios
7.3 Results and Discussion
7.3.1 Future versus current LULC impact on the basin hydrology
7.3.2 Future versus baseline climate
7.3.3 Impact of combined future climate and LULC changes on hydrology
7.4 Uncertainties and Limitations
7.5 Conclusions
Acknowledgements
8. Overall Conclusions, Recommendations and Future Research Directions
8.1. Overall Conclusions
8.2 Recommendations and Directions for further research
References
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:15775 |
| Date | 23 June 2017 |
| Creators | Woldesenbet, Tekalegn Ayele |
| Contributors | Universität Leipzig |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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