Author: Joseph Awange

Publisher: Springer Nature

Published: 2020-12-17

Total Pages: 321

ISBN-13: 3030605515

This book employs a suite of remotely sensed products and advanced technologies to provide the first comprehensive space-based sensing of Lake Victoria, the world’s second largest freshwater lake that supports a livelihood of more than 42 million people, modulates regional climate, but faces myriads of challenges. Proper understanding of the lake and changes in its physical dynamics (e.g., water level, shorelines and areal dynamics) resulting from the impacts of climate variation and climate change as well as anthropogenic (e.g., hydropower and irrigation) is important for its management as well as for strategic development before, during and after climate extremes (e.g., floods and droughts) in order to inform policy formulations, planning and mitigation measures. Owing to its sheer size, and lack of research resources commitment by regional governments that hamper its observations, however, it is a daunting task to undertake studies on Lake Victoria relying solely on in-situ “boots on the ground” measurements, which are sparse, missing in most cases, inconsistent or restricted by governmental red tapes. To unlock the potentials of Lake Victoria, this book argues for the removal of obsolete Nile treaties signed between Britain, Egypt and Sudan in the 1920s and 1950s, which prohibits its utilization by the upstream countries. The book is useful to those in water resources management and policy formulations, hydrologists, environmentalists, engineers and researchers. In a unique cross-disciplinary approach, the Book articulates the various climatic impacts and explanations from natural and anthropogenic origins, which affected Lake Victoria and its vicinity, including the drastic increase and depletion of water level in the Lake and dams, floods and droughts, water quality/security, crop health, food security, and economic implications. With no exception as in his many publications, Joseph L. Awange used data analysis methodologies including filtering, adjustment theory, and robust statistics, to quantify the hydrologic and other parameters, and their estimated uncertainties. The Book is recommended for readers from a diverse disciplines, including physical and social sciences, policy, law, engineering, and disaster management. Professor C.K. Shum, Ohio State University.