Uncertainty assessment in river flow projections for Ethiopia's Upper Awash Basin using multiple GCMs and hydrological models

被引:18
|
作者
Chan, Wilson C. H. [1 ,5 ]
Thompson, Julian R. [1 ]
Taylor, Richard G. [1 ]
Nay, Alistair E. [1 ]
Ayenew, Tenalem [2 ]
MacDonald, Alan M. [3 ]
Todd, Martin C. [4 ]
机构
[1] UCL, Dept Geog, Pearson Bldg,Gower St, London WC1E 6BT, England
[2] Univ Addis Ababa, Sch Earth Sci, Addis Ababa, Ethiopia
[3] British Geol Survey, Lyell Ctr, Res Ave South, Edinburgh, Midlothian, Scotland
[4] Univ Sussex, Dept Geog, Brighton, E Sussex, England
[5] Univ Reading, Dept Meteorol, Reading, Berks, England
基金
英国自然环境研究理事会; 英国经济与社会研究理事会;
关键词
Upper Awash Basin; hydrological modelling; climate change; uncertainty; CLIMATE-CHANGE; WATER-RESOURCES; IMPACT; RAINFALL; RUNOFF; CALIBRATION; RESPONSES; DROUGHT;
D O I
10.1080/02626667.2020.1767782
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Uncertainty in climate change impacts on river discharge in the Upper Awash Basin, Ethiopia, is assessed using five MIKE SHE hydrological models, six CMIP5 general circulation models (GCMs) and two representative concentration pathways (RCP) scenarios for the period 2071-2100. Hydrological models vary in their spatial distribution and process representations of unsaturated and saturated zones. Very good performance is achieved for 1975-1999 (NSE: 0.65-0.8;r: 0.79-0.93). GCM-related uncertainty dominates variability in projections of high and mean discharges (mean: -34% to +55% for RCP4.5, - 2% to +195% for RCP8.5). Although GCMs dominate uncertainty in projected low flows, inter-hydrological model uncertainty is considerable (RCP4.5: -60% to +228%, RCP8.5: -86% to +337%). Analysis of variance uncertainty attribution reveals that GCM-related uncertainty occupies, on average, 68% of total uncertainty for median and high flows and hydrological models no more than 1%. For low flows, hydrological model uncertainty occupies, on average, 18% of total uncertainty; GCM-related uncertainty remains substantial (average: 28%).
引用
收藏
页码:1720 / 1737
页数:18
相关论文
共 50 条
  • [31] Hydrological assessment using stable isotope fingerprinting technique in the Upper Chao Phraya river basin
    Putthividhya, A.
    Laonamsai, J.
    Lowland Technology International, 2017, 19 (01) : 27 - 40
  • [32] Using multiple climate projections for assessing hydrological response to climate change in the Thukela River Basin, South Africa
    Graham, L. Phil
    Andersson, Lotta
    Horan, Mark
    Kunz, Richard
    Lumsden, Trevor
    Schulze, Roland
    Warburton, Michele
    Wilk, Julie
    Yang, Wei
    PHYSICS AND CHEMISTRY OF THE EARTH, 2011, 36 (14-15) : 727 - 735
  • [33] Comparison of hydrological models for the assessment of water resources in a data-scarce region, the Upper Blue Nile River Basin
    Tegegne, Getachew
    Park, Dong Kwan
    Kim, Young-Oh
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2017, 14 : 49 - 66
  • [34] Impact of Climate Change on the Hydrological Regime of the Yarkant River Basin, China: An Assessment Using Three SSP Scenarios of CMIP6 GCMs
    Xiang, Yanyun
    Wang, Yi
    Chen, Yaning
    Zhang, Qifei
    REMOTE SENSING, 2022, 14 (01)
  • [35] Hydrological stream flow modelling for calibration and uncertainty analysis using SWAT model in the Xedone river basin, Lao PDR
    Vilaysane, Bounhieng
    Takara, Kaoru
    Luo, Pingping
    Akkharath, Inthavy
    Duan, Weili
    5TH SUSTAINABLE FUTURE FOR HUMAN SECURITY (SUSTAIN 2014), 2015, 28 : 380 - 390
  • [36] Assessment of Climate Change Impacts on River Flow Regimes in the Upstream of Awash Basin, Ethiopia: Based on IPCC Fifth Assessment Report (AR5) Climate Change Scenarios
    Daba, Mekonnen H.
    You, Songcai
    HYDROLOGY, 2020, 7 (04) : 1 - 22
  • [37] Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models
    Belayneh, A.
    Adamowski, J.
    Khalil, B.
    Ozga-Zielinski, B.
    JOURNAL OF HYDROLOGY, 2014, 508 : 418 - 429
  • [38] Future Climatic Projections and Hydrological Responses in the Upper Beijiang River Basin of South China Using Bias-Corrected RegCM 4.6 Data
    Chen, Xiaoli
    Chen, Wenjie
    Huang, Guoru
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2021, 126 (19)
  • [39] River flow modelling: comparison of performance and evaluation of uncertainty using data-driven models and conceptual hydrological model
    Zhang, Zhenghao
    Zhang, Qiang
    Singh, Vijay P.
    Shi, Peijun
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2018, 32 (09) : 2667 - 2682
  • [40] River flow modelling: comparison of performance and evaluation of uncertainty using data-driven models and conceptual hydrological model
    Zhenghao Zhang
    Qiang Zhang
    Vijay P. Singh
    Peijun Shi
    Stochastic Environmental Research and Risk Assessment, 2018, 32 : 2667 - 2682