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Low Flow Trends and Frequency Analysis in the Blue Nile Basin, Ethiopia

Low Flow Trends and Frequency Analysis in the Blue Nile Basin, Ethiopia

作     者:Kidist Assefa Mamaru A. Moges 

作者机构:Amhara Water Irrigation and Energy Bureau Bahir Dar Ethiopia Faculty Civil and Water Resources Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia Blue Nile Water Institute Bahir Dar University Bahir Dar Ethiopia 

出 版 物:《Journal of Water Resource and Protection》 (水资源与保护(英文))

年 卷 期:2018年第10卷第2期

页      面:182-203页

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主  题:Mann-Kendall Low Flow L-MRD PWM Regionalization Blue Nile Basin 

摘      要:Low flow analysis provides crucial information for the planning and design water resource development, risk assessment and environmental flow management. Understanding the low flow regimes and evaluating the magnitudes for incorporating in water resources management is vital for the countries like Ethiopia where demand for water is increasing. However, there were hardly enough studies in understanding the trends of low flow and frequency analysis. Therefore, this study focuses on evaluation of the trends in low flows and regional low flow analysis in the Blue Nile Basin, Ethiopia. In order to carry out the study, 15 river sub-basins in the Blue Nile Basin were selected based on the long term data availability and presence of quality of data. The 3-day sustained low flow (3d-slf), the 7-day sustained low flow (7d-slf) and the 14-day sustained low flow (14d-slf) models were used to extract the data from the daily time series stream data obtained from MoWIE. Trends in low flow were analyzed separately by using Mann-Kendall (MK) trend test. Low flow frequency analysis was used to estimate the long term low flow quantiles. In addition, regional analysis for estimating the quantiles for ungaged catchments was also developed based on the regional growth curve and catchment characteristic of drainage basins. The results indicated that 3d-slf, 7d-slf and 14d-slf models of low flow series indicated no significant difference for each station at 95% CI. Out of the 15 selected stations, 12 of stations have indicated decreasing;two stations indicated increasing and remaining one station with no trend. Mainly decreasing trend was associated with the land cover and climate change which results in increasing runoff and evapotranspiration respectively. Weibull distribution—GEV and LGN was found best fit based on the L-Moment Ratio Diagram (L-MRD). Hence quantile estimations have indicated diminishing magnitudes of low flow quintiles for 2 - 500 years return periods. Regional low freq

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