
Application of Remote Sensing and GIS to Flood and Rainwater Harvesting
The construction of the Grand Ethiopian Renaissance Dam (GERD) will have positive and negative impacts on the people living downstream. Among possible impacts is the probability of flooding of human settlements along the Blue Nile. Reduction of water level is also a possible adverse effect on the agricultural schemes along the Blue Nile; the Gezira scheme, one of the largest irrigation projects in the world. The objective of this study is two-fold. The first objective is to identify cities and villages near the Sennar Dam (in Sudan) that may be affected by potential fluvial (river) floods. The second objective is to select rainwater-harvesting (RWH) sites that can be used for water-supply backup while minimizing possible water-level reduction. RWH is in line with UN Global Sustainable Development Goals (UN-SDG). The use of remote-sensing techniques has enabled access to unique sources of information (satellite images and DEM) to better characterize hazards and risks, and a GIS was used as an effective modeling and visualization tool.
Keywords: Fluvial flood, Rainwater harvesting, Sennar Dam, Sudan, Remote sensing, GIS
Speaker
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Dr. Mohamed YagoubDepartment of Geography and Urban Sustainability, UAEU
Prof. Yagoub led Graduate Studies at the Department (20016-2020), chaired the Department between 2005 and 2007, and directed the Master Program of Remote Sensing and GIS at the UAE University between 2002 and 2005. His scholarship is indexed in Google Scholar, Scopus, Web of Science, and Research Gate. Dr. Yagoub teaches various courses related to Geoinformatics such Remote Sensing, Geographic Information System (GIS), and Global Navigation Satellite Systems (GNSS). Dr. Yagoub is a referee to many organizations/journals. He participated in organization of national and international conferences and co-chaired the 5th International Conference on Earth Observation for Global Changes (EOGC), 2015. He received Abu Dhabi -Spatial Data Infrastructure (AD-SDI) Distinguished Award for contribution to GIS/Remote Sensing academic programs (2018). He also received the Teaching Faculty Recognition Award on August 28, 2007 bestowed by H.H. Sheik Nahayan Mabarak Al Nahayan, former Minister of Higher Education and Scientific Research.