Managing Basin Interdependencies in a Heterogeneous, Highly Utilized and Data Scarce River Basin in Semi-Arid Africa The Case of the Pangani River Basin, Eastern Africa

Chapter 1 Introduction
1.1 Water management issues and challenges
1.2 Research objectives
1.3 Structure of the thesis

Chapter 2 Study Area
2.1 Location
2.2 Climate
2.3 Socio-economic activities

Chapter 3 Land use and land cover classification
3.1 Introduction
3.2 Materials and methods
3.2.1 Crop calendar
3.2.2 Pre-processing of the MODIS datasets
3.2.3 Unsupervised and supervised classification
3.2.4 Calibration and Validation
3.3 Results and discussion
3.3.1 Land surface phenology
3.3.2 Ground truthing
3.3.3 Validation with local datasets
3.3.4 Land suitability to LULC types
3.4 Conclusion

Chapter 4 Mapping evapotranspiration using MODIS and SEBAL
4.1 Introduction
4.2 Materials and Methods
4.2.1 Datasets
4.2.2 Surface Energy Balance Algorithm of Land (SEBAL) algorithm
4.2.3 MODIS 16 ET Algorithm
4.2.4 In-situ ET assessment methods
4.2.5 Uncertainty assessment in SEBAL ET estimates
4.3 Results and Discussions
4.3.1 Actual Evapotranspiration
4.3.2 Model performance
4.3.3 Crop coefficient, Kc for the main crops
4.3.4 Spatio-temporal pattern of water use and catchment water balance
4.4 Conclusion

Chapter 5 Modelling stream flow using STREAM model
5.1 Introduction
5.2 Materials and methods
5.2.1 Datasets
5.2.2 Model development
5.2.3 Model configuration
5.2.4 Sensitivity and uncertainty analysis
5.2.5 Model performance
5.2.6 Scenario development
5.3 Results and discussion
5.3.1 Calibration and validation results
5.3.2 Sensitivity analysis
5.3.3 Model interpretation
5.3.4 Future water management scenario using modified STREAM model
5.4 Conclusions

Chapter 6 Water Productivity
6.1 Introduction
6.2 Materials and Methods
6.2.1 Actual evapotranspiration
6.2.2 Biomass production
6.2.3 Crop yield
6.2.4 Carbon sequestration
6.2.5 Economic Water Productivity
6.2.6 Additional datasets
6.2.7 Calibration and validation
6.2.8 Uncertainty analysis of biomass production
6.3 Results and Discussions
6.3.1 Biomass production
6.3.2 Uncertainty assessment for biomass production
6.3.3 Water Yield
6.3.4 Water Productivity
6.4 Discussion and Conclusion

Chapter 7 Multi-objective analysis of green-blue water
7.1 Introduction
7.2 Pangani River system
7.3 Materials and Methods
7.3.1 STREAM hydrological model
7.3.2 Hydro-Economic Modelling Approach
7.3.3 Multi-objective problem formulation for the Pangani hydro-system
7.4 Results and Discussions
7.4.1 Model validation
7.4.2 Problem formulation cases for Lower Pangani hydro-system
7.4.3 Problem formulation for green and blue water use
|7.5 Conclusion

Chapter 8 Conclusions
8.1 Academic innovation
8.1.1 Water balance assessment using RS data
8.1.2 Modelling of green-blue water interaction and quantifying blue water use with a modified STREAM model
8.1.3 Mapping ecological production and gross returns from water consumed in agricultural and natural landscapes
8.1.4 Integrated hydro-economic modelling of green-blue water use
8.2 Uncertainty of RS data for Water Resource Planning
8.3 River basin management in the Pangani Basin
8.4 Lessons for other river basins

Biography

Jeremiah Kipkulei Kiptala is a lecturer of water resources engineering at the Department of Civil, Construction and Environmental Engineering, Jomo Kenyatta University of Agriculture and Technology, Kenya. He has a bachelor degree in Civil Engineering from the University of Nairobi, Kenya and a Master of Science in Water Management from UNESCO-IHE, the Netherlands. He is a professional civil engineer with the Engineers Board of Kenya and a corporate member of the Institute of Engineers of Kenya. For his PhD, Jeremiah conducted research on managing basin interdependencies in the Pangani River basin, Eastern Africa. His research interests include hydrological and river system modeling, multi-objective optimization, water valuation and ecosystem services valuation.