Synopsis
Doctoral Thesis / Dissertation from the year 2016 in the subject Engineering - Civil Engineering, grade: 80.0, Egerton University, course: AGRICULTURAL ENGINEERING, language: English, abstract: Drought is a critical stochastic natural disaster that adversely affects water resources, ecosystems and people. Drought is a condition characterized by scarcity of precipitation and/or water quantity that negatively affects the global, regional and local land-scales. At both global and regional scales, drought frequency and severity have been increasing leading to direct and indirect decline in water resources. Increase in drought severity and frequency in the upper Tana River basin, Kenya, water resources systems have been adversely affected. Timely detection and forecasting of drought is crucial in planning and management of water resources. The main objective of this research was to formulate the most appropriate models for assessment and forecasting of drought using Indices and Artificial Neural Networks (ANNs) for the basin. Hydro-meteorlogical data for the period 1970-2010 at sixteen hydrometric stations was used to test the performance of the indices in forecasting of the future drought at 1, 3, 6, 9, 12, 18 and 24-months lead times, by constructing ANN models with different time delays. Drought conditions at monthly temporal resolution were evaluated using selected drought indices. The occurrence of drought was investigated using non-parametric Man-kendall trend test. Spatial distribution of drought severity was determined using Kriging interpolation techinique. In addition, a standard Nonlinear-Integrated Drought Index (NDI), for drought forecasting in the basin was developed using hydro-meteoroogical data for the river basin. The results of spaial drought show that the south-eastern parts of the basin are more prone to drought risks than the north-western areas. The Mann-Kendall trend test indicates an increasing drought trend in the south-eastern and no trend in n
About the Author
ABOUT THE AUTHOR Raphael M. Wambua completed his Doctor of Philosophy Degree in Agricultural Engineering from Egerton University, specializing in Soil and Water Resources Engineering. in addition, he holds a Master of Science and Bachelor of Science Degree in Agricultural Engineering. He had his short experience as a trainee with FMD East Africa (ltd), a Company that deals with Farm Machinery. He started teaching as a Tutorial and Research Fellow and later as a Lecturer at Egerton University and South Eastern Kenya University (SEKU). Dr. Raphael M. Wambua has taught courses such as Irrigation and Drainage Engineering, Soil and Water Conservation Engineering, Soil and Water Management, Irrigation and water Management, Engineering survey and Water Resources Development. He has also been involved in training Engineering Practice, development and implementation of community based projects, training farmers, organizing and co-coordinating seminars and conferences. He has in addition been involved in University administration currently he is the Head of the Department of Agricultural Engineering, Egerton University, and previously led the departmental office of examinations and time tabling coordinator. Raphael M. Wambua joined South Eastern Kenya University (SEKU) in 2009, where he was involved in teaching and development of the University academic programmes. At SEKU he had been the ag-Dean, School of Engineering and Technology, Chairman of Department of Agricultural Engineering and Time-tabling co-coordinator. He has conducted research and published in a number of journals. He is an international Member of Institution of Agricultural Engineers (MIAgrE), Registered Graduate Engineer with Engineers Board of Kenya (EBK), and a member of World Association of Soil and Water Conservation (WASWC).
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