Skip to main content

Advertisement

Log in

Evaluation of streamflow response to climate change in the data-scarce region, Ethiopia

  • Original Article
  • Published:
Sustainable Water Resources Management Aims and scope Submit manuscript

Abstract

Even though many agricultural and infrastructure developments are undertaken in the Upper Blue Nile basin, the possible impact of future climate variation on the streamflow is not considered. Therefore, the goal of this study is to evaluate the impact of climate change on the Megech streamflow and to calibrate and validate the Soil Water Assessment Tool (SWAT) model. The baseline period (1976–2005) and the future period of the 2050s and 2080s were used. The widely accepted Global Circulation Models (GCM) were used to derive the climate data: Canadian Centre for Climate Modeling and Analysis (CanMES2), Model for Interdisciplinary Research on Climate (MIROC), Institute Pierre Simon Laplace (IPSL), Max Planck Institute for Meteorology (MPI). The dynamic downscaling and bias corrections were done for all the GCM data. The Nash–Sutcliffe Efficiency (NSE) values of 0.74 and 0.68 for calibration and validation periods show the capability of the SWAT model for simulation of the streamflow. The result of the models reveals a steady increase in temperature and decrease in precipitation at both time windows for both Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. The result of the future scenarios depicted that the mean annual streamflow of the Megech river may rise by 5.9% and 6.5% for the 2050s and 2080s, respectively for the RCP 4.5 scenario, while for the RCP 8.5 scenario, the model shows an increase by 7.3 and 8.3% for 2050s and 2080s, respectively. The multi-model projections revealed that the Megech watershed is likely to become warmer and wetter during the summer season in the future, which in turn influences the environment. Additional works should be done to know the impact of land use and land cover alteration on the catchment towards sustainable development nowadays and in the future. Further studies should be done using other GCMs with state-of-the-art datasets to investigate the impact of climate change and land use–land cover on Megech hydrological process.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Availability of data and materials

Available upon request.

Code availability

Not applicable.

References

  • Abebe E, Kebede A (2017) Assessment of climate change impacts on the water resources of megech river catchment, Abbay Basin, Ethiopia. Open J Mod Hydrol 7(02):141

    Article  Google Scholar 

  • Abraha T, Woldemicheala A, Muluneha A, Abateb B (2018) Hydrological responses of climate change on Lake Ziway catchment, Central Rift Valley of Ethiopia. J Earth Sci Clim Change 5:5. https://doi.org/10.4172/2157-7617.1000474

    Article  Google Scholar 

  • Adem AA, Tilahun SA, Ayana EK, Worqlul AW, Assefa TT, Dessu SB, Melesse AM (2016) Climate change impact on sediment yield in the Upper Gilgel Abay catchment, Blue Nile Basin, Ethiopia. Landscape dynamics, soils and hydrological processes in varied climates. Springer, Cham, pp 615–644

    Chapter  Google Scholar 

  • Adem AA, Aynalem DW, Tilahun SA, Steenhuis TS (2017) Predicting reference evaporation for the Ethiopian highlands. J Water Resour Prot 9(11):1244

    Article  Google Scholar 

  • AORI (2022) Atmospheric and Ocean Research Institute (The University of Tokyo), National Institute for Environmental Studies, and Japan Agency for Marine- Earth Science and Technology. https://www.aori.u-tokyo.ac.jp/en

  • Apraku A, Morton JF, AprakuGyampoh B (2021) Climate change and small-scale agriculture in Africa: does indigenous knowledge matter? Insights from Kenya and South Africa. Sci Afr 12:e00821

    Google Scholar 

  • Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development 1. JAWRA J Am Water Resour Assoc 34(1):73–89

    Article  Google Scholar 

  • Arnold JG, Moriasi DN, Gassman PW, Abbaspour KC, White MJ, Srinivasan R, Jha MK (2012) SWAT Model use, calibration, and validation. Trans ASABE 55(4):1491–1508

    Article  Google Scholar 

  • Asfawa D, Mengistu D (2020) Modeling megech watershed aquifer vulnerability to pollution using modified DRASTIC model for sustainable groundwater management, Northwestern Ethiopia. Ground Water Sustain Dev 11:100375

    Article  Google Scholar 

  • Berhanu KG, Hatiye SD (2020) Identification of groundwater potential zones using proxy data: Case study of Megech watershed, Ethiopia. J Hydrol 28:100676

    Google Scholar 

  • Berhanua KG, Hatiyeb SD (2020) Identification of groundwater potential zones using proxy data: case study of Megech watershed, Ethiopia. J Hydrol 28:100676

    Google Scholar 

  • Chemak F, Nouiri I, Bellali H, Chahed MK (2022) Irrigation practices, prevalence of leishmaniasis and sustainable development: Evidence from the Sidi Bouzid region in central Tunisia. Sci Afr 15:e01094

    Google Scholar 

  • Chen J, Brissette FP, Lucas-Picher P (2016) Transferability of optimally-selected climate models in the quantification of climate change impacts on hydrology. Clim Dyn 47(9):3359–3372

    Article  Google Scholar 

  • Chien H, Yeh PJ-F, Knouft JH (2013) Modeling the potential impacts of climate change on streamflow in agricultural watersheds of the Midwestern United States. J Hydrol 491:73–88

    Article  Google Scholar 

  • Darbandsaria P, Coulibalya P (2020) Inter-comparison of lumped hydrological models in data-scarce watersheds using different precipitation forcing data sets: Casestudy of Northern Ontario, Canada. J Hydrol 31:100730

    Google Scholar 

  • Dile YT, Daggupati P, George C, Srinivasan R, Arnold J (2016) Introducing a new open source GIS user interface for the SWAT model. Environ Model Softw 85:129–138

    Article  Google Scholar 

  • Erturk A (2012) Managing the effects of the climate change on water resources and watershed ecology. Studies on water management issues. InTech, London

    Google Scholar 

  • Evans J (2011) CORDEX: an international climate downscaling initiative. In: Paper Presented at the 19th International Congress on Modeling and Simulation (December)

  • Gebre SL, Ludwig F (2015) Hydrological response to climate change of the upper blue Nile River Basin: based on IPCC fifth assessment report (AR5). J Climatol Weather Forecast 3(01):1–15

    Google Scholar 

  • Getu A, Nagy A, Addis HK (2022) Soil loss estimation and severity mapping using the RUSLE model and GIS in Megech watershed, Ethiopia. Environ Chall 8:100560

    Article  Google Scholar 

  • GoC (2022) Canadian Centre for Climate Modelling and Analysis CanESM2 / CGCM4 model output. https://climate-modelling.canada.ca/climatemodeldata/cgcm4/CanESM2

  • Gupta HV, Sorooshian S, Yapo PO (1999) Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration. J Hydrol Eng 4(2):135–143

    Article  Google Scholar 

  • Gupta RD, Kundu D, Manglick A (2002) Probability of correct selection of gamma versus GE or Weibull versus GE based on likelihood ratio statistic. Recent advances in statistical methods. World Scientific, London, pp 147–156

    Chapter  Google Scholar 

  • Halefom A, Sisay E, Worku T, Khare D, Dananto M, Narayanan K (2018) Precipitation and runoff modelling in Megech watershed, Tana Basin, Amhara region of Ethiopia. Am J Environ Eng 8(3):45–53

    Google Scholar 

  • Hanibal L (2013) Climate change impact assessment on water resources of Gumara watershed, upper Blue Nile River basin. Int J Agric Policy Res 1(5):142–149

    Google Scholar 

  • Immerzeel WW, Drooger P (2008) Calibration of a distributed hydrological model based on satellite evapotranspiration. J Hydrol 349(3–4):411–424

    Article  Google Scholar 

  • IPCC (2021) Intergovernmetal panel on climate change, the physical science basis, the working group I contribution to the sixth assessment report

  • IPSL (2022) Institut Pierre-Simon Laplace Climate Sciences. https://www.ipsl.fr/en/home-en

  • Kalele DN, Ogara WO, Oludhe C, Onono JO (2022) Climate change impacts and relevance of smallholder farmers’ response in arid and semi-arid lands in Kenya. Sci Afr. https://doi.org/10.1016/j.sciaf.2021.e00814

    Article  Google Scholar 

  • Kumari N, Srivastava A, Sahoo B, Raghuwanshi NS, Bretreger D (2021) Identification of suitable hydrological models for streamflow assessment in the Kangsabati River Basin, India, by using different model selection scores. Nat Resour Res 30(6):4187–4205

    Article  Google Scholar 

  • Legesse W (2017) Climate change indication and projection over bale highlands, Southeastern Ethiopia. J Climatol Weather Forecast 5:5. https://doi.org/10.4172/2332-2594.100021

    Article  Google Scholar 

  • Lucid Chart (2022) Lucid chart for preparing diagram, process flow and org charts and inteligent diagramming. https://lucid.app

  • Marengo JA, Jones R, Alves LM, Valverde MC (2009) Future change of temperature and precipitation extremes in South America as derived from the PRECIS regional climate modeling system. Int J Climatol 29(15):2241–2255

    Article  Google Scholar 

  • Maurer EP, Brekke L, Pruitt T, Duffy PB (2007) Fine-resolution climate projections enhance regional climate change impact studies. Adv Earth Space Sci. https://doi.org/10.1029/2007EO470006

    Article  Google Scholar 

  • Mekonnen DG, Moges MA, Mulat AG, Shumitter P (2019) The impact of climate change on mean and extreme state of hydrological variables in Megech watershed, Upper Blue Nile Basin, Ethiopia. Extreme hydrology and climate variability. Springer, Cham, pp 123–135

    Chapter  Google Scholar 

  • Meteorology MPIF (2022) Climate datasete links. https://mpimet.mpg.de/en/

  • Mobin-ud-din A (2002) Estimation of net groundwater use in irrigated river basin using geo-information techniques: a case study in Rechna Doab, Pakistan. PhD thesis, Wageningen Univ., Netherlands

  • Moges DM, Bhat HG (2021) Climate change and its implications for rainfed agriculture in Ethiopia. J Water Clim Change 12(4):1229–1244

    Article  Google Scholar 

  • MoWIE (2020) Ministry of Water, Irrigation and Energy (MoWIE-Ethiopia). Hydrological and land use data. https://www.mowie.gov.et

  • Nash JE, Sutcliffe JV (1970a) River flow forecasting through conceptual models part I—a discussion of principles. J Hydrol 10(3):282–290

    Article  Google Scholar 

  • Nash JE, Sutcliffe JVR (1970b) River flow forecasting through conceptual models. Part I: a discussion of principles. J Hydrol 10:282–290

    Article  Google Scholar 

  • NMA (2020) Ethiopian meteorological agency data services. 213.55.84.78

  • Rathjens H, Bieger K, Srinivasan R, Chaubey I, Arnold J (2016) CMhyd user manual. Documentation for preparing simulated climate change data forhydrologic impact studies

  • Reddy NN, Reddy KV, Vani J, Daggupati P, Srinivasan R (2017) Climate change impact analysis on watershed using QSWAT. Spat Inf Res 26(3):253–259

    Article  Google Scholar 

  • Samuelsson P, Jones CG, Willen U, Ullerstig A, Gollvik S, Hansson U, Wyser K (2011) The Rossby centre regional climate model RCA3: model description and performance. Tellus A 63(1):4–23

    Article  Google Scholar 

  • Santhi C, Arnold JG, Williams JR, Dugas WA, Srinivasan R, Hauck LM (2001) Validation of the swat model on a large rwer basin with point and nonpoint sources 1. JAWRA J Am Water Resour Assoc 37(5):1169–1188

    Article  Google Scholar 

  • Setegn SG, Srinivasan R, Melesse AM, Dargahi B (2010) SWAT model application and prediction uncertainty analysis in the Lake Tana Basin, Ethiopia. Hydrol Process 24:357–367. https://doi.org/10.1002/hyp.7457

    Article  Google Scholar 

  • Sharannya T, Mudbhatkal A, Mahesha A (2018) Assessing climate change impacts on river hydrology–a case study in the Western Ghats of India. J Earth Syst Sci 127(6):1–11

    Article  Google Scholar 

  • Sudjarit W (2015) Application of SWAT model for assessing effect on main functions of watershed ecosystem in Headwater, Thailand. Proc Int Acad Ecol Environ Sci 5(2):57

    Google Scholar 

  • Survey USG (2022) Earth explorer science for a changing world. https://www.earthexplorer

  • Tegegne G, Park DK, Kim Y-O (2017) Comparison of hydrological models for the assessment of water resources in a data-scarce region, the Upper Blue Nile River Basin. J Hydrol 14:49–66

    Google Scholar 

  • Teutschbein C, Seibert J (2012) Bias correction of regional climate model simulations for hydrological climate-change impact studies: review and evaluation of different methods. J Hydrol 456:12–29

    Article  Google Scholar 

  • Uzeika T, Merten GH, Minella JP, Moro M (2011) Use of the SWAT model for hydro-sedimentologic simulation in a small rural watershed. Rev Bras Ciênc Solo 36:557–565

    Article  Google Scholar 

  • Van Vuuren DP, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K, Lamarque J-F (2011) The representative concentration pathways: an overview. Clim Change 109(1):5–31

    Article  Google Scholar 

  • Wubneh MA, Fikadie FT, Worku TA, Aman TF, Kifelew MS (2022) Hydrological impacts of climate change in gauged sub-watersheds of Lake Tana sub-basin (Gilgel Abay, Gumara, Megech, and Ribb) watersheds, Upper Blue Nile Basin, Ethiopia. Sustain Water Resour Manag 8:81

    Article  Google Scholar 

Download references

Funding

This work was supported by the University of Gondar Institute of Technology under Grant Nr. 6223/2019. The authors are delighted to thank the Ethiopian Ministry of Water, Irrigation, and Energy for providing spatial and hydrological data. We also gratefully appreciate the assistance of contributors.

Author information

Authors and Affiliations

Authors

Contributions

D. G. Eshete collected the data and wrote the text of the manuscript. B. G. Shinshaw performed modeling and edited the manuscript. G. Rigler edited the manuscript and provided language proofreading. A. M. Belete performed the proposal development. B. A. Bayeh collected data and edited the manuscript.

Corresponding author

Correspondence to Daniel G. Eshete.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Eshete, D.G., Rigler, G., Shinshaw, B.G. et al. Evaluation of streamflow response to climate change in the data-scarce region, Ethiopia. Sustain. Water Resour. Manag. 8, 187 (2022). https://doi.org/10.1007/s40899-022-00770-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40899-022-00770-6

Keywords

Navigation