1st Edition

Integrated Modeling of Land and Water Resources in Two African Catchments

By Seleshi Yalew Copyright 2018

    Demand for land and water for agriculture, urbanization, irrigation, hydropower, and industrialization is increasing to meet the demands of growing populations and of growing economies. However, changes in land and water resources are often studied separately. A better representation of the interaction between land-use change and its drivers on the one hand and water resources on the other is imperative for sustainable environmental management.

    This research investigates and develops spatial analysis methods and tools for the quantification of dynamic feedbacks between land-use change and water resources, by focusing on case study catchments in Ethiopia and South Africa. Furthermore, the research investigates methods for analysing land-use suitability and modelling land-use change. Results show that major changes in land-use have been observed in the past two to three decades in the study catchments. Model representation of the interaction between land-use change and water resources shows that changes in land-use influence hydrologic responses. These influences are especially pronounced during high- and low-flow seasons. Likewise, hydrologic processes and water resources availability influence land-use suitability and hence land-use change responses. Accounting for the dynamic feedback between land-use and hydrology thus produces improved knowledge that can better inform integrated natural resources management.

    1 Introduction
    1.1 Background
    1.2 Integrated Assessment Modeling
    1.3 Study Areas
    1.4 Problem Descriptions
    1.5 Research Objectives
    1.6 Methodology
    1.7 Structure of the thesis

    Part I: Land‐Use Change Modeling

    2 Land suitability assessment in the Abbay basin
    2.1 Introduction
    2.2 Study Area
    2.3 Materials and Methods
    2.4 Results
    2.5 Discussion
    2.6 Conclusion and recommendations

    3 A web‐based framework for land‐use suitability assessment
    3.1 Introduction
    3.2 Data and Methods
    3.3 Results and discussion
    3.4 Conclusion

    4 Land‐use change modeling for the Abbay basin
    4.1 Introduction
    4.2 Materials and methods
    4.3 Results and Discussions
    4.4 Conclusion and Recommendations

    Part II: Feedback Between Land Use and Hydrology

    5 Modelling hydrologic impacts of semi‐dynamic land use in the Jedeb
    5.1 Introduction
    5.2 Existing literature: state‐of‐the‐art
    5.3 Materials and methods
    5.4 Results and Discussion
    5.5 Discussion
    5.6 Conclusion

    6 Feedback between coupled land‐use and hydrologic models
    6.1 Introduction
    6.2 Study Area
    6.3 Materials and Methods
    6.4 Results
    6.5 Discussion
    6.6 Conclusions

    7 Conclusions and Recommendations
    7.1 Conclusions
    7.2 Recommendations
    7.3 Limitations

    References

    Appendices
    Appendix 1. WFlow model parameters
    Appendix 2. Scenario simulation
    Appendix 3. SWIM‐SITE Coupling: code snippets
    Appendix 4. Land‐cover classification on GEE:code snapshot

    Biography

    Seleshi Getahun Yalew was born in Dessie, Ethiopia, in 1981. He obtained his Bachelor’s degree in 2005 from Addis Ababa University in Information Systems after which he served as assistant lecturer in the Department of Computer Science at Haramaya University, Ethiopia, until 2008. From 2008-2010, he followed the MSc programme in Water Science and Engineering, specializing in Hydroinformatics and Water Management, at UNESCO-IHE Institute for Water Education in Delft, The Netherlands. He joined the department of Integrated Water Systems and Water Governance at the same Institute in 2011 as a PhD fellow.

    Seleshi is currently a PostDoc researcher at the Copernicus Institute of Sustainable Development of Utrecht University, The Netherlands. He is also a guest researcher of the Water Systems and Global Change Group of Wageningen University. His current research focuses on climate impacts on the global potential of renewable energy, particularly in the context of integrated assessment modeling.