Abstract
AbstractFloods are produced as a result of several factors such as human-induced land-use changes, topographic conditions, and climate change. This study aimed to assess flood risk using geographic information system-based multi-criteria evaluation techniques in the Wabi Shebele River Sub-basin. Six parameters, namely, soil type, slope, land use and land cover, proximity to rivers, rainfall, and elevation, were used. The eigenvector of weight for each factor was computed in IDRISI Selva 17.0. Results show that the study area was subjected to a very high 527.31 km2 (9.42%), high 2133.66 km2 (38.12%), moderate 1906.44 km2 (34.06%), low 847.35 km2 (15.14%), and a very low 182.54 km2 (3.26%) flood risk, respectively. Results reveal that the Wabi Shebele River Sub-basin is highly vulnerable to flooding. This study assists policymakers with regard to land-use planning. To reduce the effects of flood risk, integrated watershed management must be implemented in the study area.
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology
Reference47 articles.
1. Abaya SW, Mandere N, Ewald G (2009) Floods and health in Gambella region, Ethiopia: a qualitative assessment of the strengths and weaknesses of coping mechanisms. Glob Health Action 2:1–10
2. Assefa T (2018) Flood risk assessment in Ethiopia. Civ Environ Res 10:35–40
3. Ayenew WA, Kebede HA (2023) GIS and remote sensing based flood risk assessment and mapping: the case of Dikala Watershed in Kobo Woreda Amhara region, Ethiopia. Environ Sustain Indic 18:100243
4. Bhatt B (2008) Remote sensing and GIS. Oxford University Press, Oxford
5. Chen J, Liu Z, Yin Z, Liu X, Li X, Yin L, Zheng W (2023a) Predict the effect of meteorological factors on haze using BP neural network. Urban Clim 51:101630. https://doi.org/10.1016/j.uclim.2023.101630
Cited by
1 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