Flood hazard map of the Becho floodplain, Ethiopia, using nonstationary frequency model

• Published in: Acta geophysica 2024-04, Vol.72 (2), p.1079-1095
• Main Authors: Tola, Sintayehu Yadete, Shetty, Amba
• Format: Article
• Language: English
• Subjects: Annual precipitation; Annual rainfall; Climate change; Earth and Environmental Science; Earth Sciences; Environmental changes; Environmental factors; Extreme value distribution; Extreme values; Flood frequency; Flood hazards; Flood management; Flood mapping; Flooding; Floodplains; Floods; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Hydraulic models; Hydrologic data; Hydrology; Maximum temperatures; Monthly rainfall; Peak floods; Precipitation; Rainfall; Rainfall amount; Research Article - Hydrology; River basins; Rivers; Steady flow; Structural Geology; Water resources; Water resources management; Wet days
• ISSN: 1895-7455; 1895-6572; 1895-7455
• DOI: 10.1007/s11600-023-01074-9

Flood estimates based on stationary flood frequency models are commonly used as inputs to flood hazard mapping. However, changing flood characteristics caused by climate change necessitate more accurate assessments of the probabilities of rare flood events. This study aims to develop a flood hazard map based on the nonstationary flood frequency using a generalized extreme value distribution model for the Becho floodplain in the upper Awash River basin. The distributional location parameter was modeled as a function of rainfall amount of different durations, annual total precipitation from wet days, yearly mean maximum temperature and time as covariates. The one-dimensional Hydrological Engineering Center River Analysis System (HEC-RAS) hydraulic model with steady flow analysis was used to generate flood hazard map input, depth and velocity, and inundation extent for different return periods. The result indicated that the model as a function of rainfall, such as monthly rainfall (August) and annual wet day precipitation, provided the best fit to the observed hydrological data. Rainfall as a covariate can explain the variation in the peak flood series. The developed hazard map based on depth alone and the combination of depth and velocity thresholds resulted in more than 70% of the floodplain area being classified as a high hazard zone under 2, 25, 50, and 100-years return periods. The current study assists water resource managers in considering changing environmental factors and an alternative flood frequency model for developing flood hazard management and mitigation strategies.