作者: Getachew Tegegne , Assefa M. Melesse , Dereje H. Asfaw , Abeyou W. Worqlul
关键词: Environmental science 、 Generalized extreme value distribution 、 Flood myth 、 Hydraulic structure 、 Structural basin 、 Drainage basin 、 Mean squared error 、 Hydrology 、 Probability distribution 、 Quantile
摘要: The frequency and intensity of flood quantiles its attendant damage in agricultural establishments have generated a lot issues Ethiopia. Moreover, precise estimates are needed for efficient design hydraulic structures; however, quantification these data-scarce regions has been continuing challenge hydrologic design. Flood analysis is thus essential to reduce possible by investigating the most suitable prediction model. annual maximum discharges from six representative stations Upper Blue Nile River Basin were fitted commonly used nine statistical distributions. This study also assessed performance evolution probability distributions with varying spatial scales, such that three different scales small-, medium-, large-scale basins considered. performances candidate using goodness-of-fit test statistics, root mean square error, graphical interpretation approaches investigate robust distribution over basin scales. Based on overall analyses, generalized extreme value was proven be model region. significantly improved improvement measured error varied between 5.84 67.91% other models. Thus, could planning structures Basin. Furthermore, this suggests that, future, significant efforts should put conduct similar analyses major river