Affiliation:
1. a Faculty of Hydraulic and Water Resources Engineering, Arba Minch University, P.O. Box 21, Arba Minch, Ethiopia
2. b Faculty of Engineering, Department of Civil and Environmental Engineering, Namibia University of Science and Technology, Namibia
3. c Faculty of Water Resources and Irrigation Engineering, Arba Minch University, P.O. Box 21, Arba Minch, Ethiopia
Abstract
Abstract
Flood susceptibility mapping plays a key role in planning flood mitigation. Floods may not be avoidable due to the future climate changes. The Bilate catchment in Ethiopia is vulnerable to flood disasters and it is used as case study in this project. The analytical hierarchy process (AHP) under multi-criteria decision analysis (MCDA) is used to develop the flood susceptibility map of the Bilate catchment. It was accordingly found that factors such as slope, rainfall, land use/land cover (LULC), elevation, topographic wetness index (TWI), soil type (ST), sediment transport index (STI), drainage density (DD), stream power index (SPI), and distance from the river (DR) have significant effects on the flood intensity in Bilate catchment. Each factor was evaluated by AHP, and an output map was developed in ARCGIS. The prepared flood susceptibility map was classified into five classes such as very low, low, moderate, high, and very high 9.3%, 32.6%, 41.2%, 10.8%, and 6.1% areas respectively. The flood susceptibility map reported in this research is a great resource for relevant parties, including government and non-governmental organizations, to evaluate the impacts of flooding in the Bilate catchment and throughout the nation. The flood identified in this research may also be used as a reference to flood-related studies.
Subject
Management, Monitoring, Policy and Law,Environmental Science (miscellaneous),Water Science and Technology
Reference69 articles.
1. Environmental sensitivity of flash flood hazard using geospatial techniques;Global Journal of Environmental Science and Management,2020
2. Flood hazard assessment of Vamanapuram River Basin, Kerala, India: an approach using remote sensing and GIS techniques;Advances in Applied Science Research,2013
3. A geospatial analysis of multi-hazard risk in Dharan, Nepal;Geomatics, Natural Hazards and Risk,2020
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献