Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/22970
Title: Flood Risk and Its Assessment Using GIS and Remote Sensing Case Study: Sudan-Omdurman (Alsalha- algeaa and Surrounding Area)
Other Titles: مخاطر الفيضانات وتقييمها بإستخدام تقنية نظم المعلومات الجغرافية والإستشعار عن بعد
Authors: Elawad, Minas Abdelmutaal Hassan
Supervisor, - Dieter Fritsch
Keywords: Flood Risk
GIS
Remote Sensing
Issue Date: 28-Nov-2018
Publisher: Sudan University of Science & Technology
Citation: Elawad, Minas Abdelmutaal Hassan.Flood Risk and Its Assessment Using GIS and Remote Sensing\Minas Abdelmutaal Hassan Elawad;Dieter Fritsch.-Khartoum:Sudan University of Science & Technology,College of Computer Science and Information Technology,2018.-73p.:ill.;28cm.-M.Sc.
Abstract: Floods are one of the most dangerous natural phenomena that negatively affect human life. In Alsalha-algeea region, Omdurman locality, Sudan, annually exposed to floods due to the low level of the region and inability to identify the areas effected accurately and prediction of damages there are no researches going on to solve this problem. This study developed a GIS approach for management the flood disasters in terms of using spatial data, processing and applying appropriate spatial, statistical and network analysis techniques to generate flood hazard thematic maps and reports. Spatial analysis was used to determine the level of the Study Area, then the affected area were calculated and a gathering point for the affected area was determined. Network analysis was used to determine the shortest path from the civil defense to the gathering point. In addition to the closest path from the gathering point to the nearest hospital was determined. The main recommendation of this study is to develop new methods of mapping and monitoring of flooded areas and predicting possible extensions of the flood. Moreover an employment of geographic information systems is proposed to find solutions to mitigate flood risks.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/22970
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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