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Sustainable Water Resources Management

, Volume 5, Issue 4, pp 1859–1875 | Cite as

Impact of climate change on surface water availability and crop water demand for the sub-watershed of Abbay Basin, Ethiopia

  • Alemu Ademe Bekele
  • Santosh Murlidhar PingaleEmail author
  • Samuel Dagalo Hatiye
  • Alemayehu Kasaye Tilahun
Original Article
  • 24 Downloads

Abstract

In the present study, climate change effects on surface water availability and crop water demand (CWD) were evaluated in the Birr watershed (a sub-watershed of Abbay Basin), Ethiopia. The Coordinated Regional Climate Downscaling Experiment (CORDEX)-Africa data output of Hadley Global Environment Model 2-Earth System (HadGEM2-ES) was selected under the representative concentration pathways (RCP) scenarios. The seasonal and annual streamflow trends in the watershed were assessed using the Mann–Kendall (MK) test and Sen’s slope at 5% significance level. The surface water availability was assessed using the Hydrologiska Byråns Vattenbalansavdelning (HBV) model. The HBV model showed a satisfactory performance during calibration (R2 = 0.89) and validation (R2 = 0.85). The future water availability was simulated under climate change scenarios. The future projected streamflow indicates that minimum flow may decrease under RCP4.5 and RCP8.5 scenarios, revealing significant downward shifts in the years 2035 and 2055, respectively. Similarly, the 1 day and 7 days maximum flow under RCP8.5 and 90 days flow under RCP4.5 are expected to decrease significantly and a considerable shift may occur in the 2060s and 2030s, respectively. Contrarily, both the minimum and maximum flow may not change significantly under the RCP2.6 scenario. Current and future water demand for the maize crop was estimated using the CROPWAT. The result indicated that irrigation water requirement (IWR) for maize crop may be increased throughout the growing periods, especially, during the development stage. Therefore, this study may contribute to the planning and implementation of the sustainable water resources development strategies and help to mitigate the consequences of climatic change, especially on commonly grown crops in the region.

Keywords

CWD IWR HBV model Trend analysis Climate change Ethiopia 

Notes

Acknowledgements

We would like to acknowledge the Ethiopian Ministry of Water Resource, Irrigation and Electricity, National Meteorological Agency and International Water Management Institute for providing the necessary data. We also gratefully acknowledge the anonymous reviewers whose comments significantly improved the quality of the paper.

Supplementary material

40899_2019_339_MOESM1_ESM.docx (16.7 mb)
Supplementary material 1 (DOCX 17129 kb)

References

  1. Abdo K, Fiseha B, Rientjes THM, Gieske ASM, Haile AT (2009) Assessment of climate change impacts on the hydrology of Gilgel Abay catchment in Lake Tana basin, Ethiopia. Hydrol Process 23:3661–3669Google Scholar
  2. Addisu S, Selassie YG, Fissha G et al (2015) Time series trend analysis of temperature and rainfall in lake Tana Sub-basin, Ethiopia. Environ Syst Res 4:25.  https://doi.org/10.1186/s40068-015-0051 CrossRefGoogle Scholar
  3. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration—guidelines for computing crop water requirements. FAO Irrig Drainage Pap 56:1–13Google Scholar
  4. Bewket W, Conway D (2007) A note on the temporal and spatial variability of rainfall in the drought-prone Amhara region of Ethiopia. Int J Climatol 27:1467–1477CrossRefGoogle Scholar
  5. Bhattacharjee PS, Zaitchik BF (2015) Perspectives on CMIP5 model performance in the Nile River headwaters regions. Int J Climatol 35:4262–4275.  https://doi.org/10.1002/joc.4284 CrossRefGoogle Scholar
  6. Bitew AM, Keesstra S, Stroosnijder L (2015) Bridging dry spells for maize cropping through supplemental irrigation in the Central Rift Valley of Ethiopia. In: Geophysical research abstracts. EGU General Assembly 2015, vol 17, EGU2015-6079-1Google Scholar
  7. Chaemiso SE, Abebe A, Pingale SM (2016) Assessment of the impact of climate change on surface hydrological processes using SWAT: a case study of Omo-Gibe river basin. Ethiop Model Earth Syst Environ.  https://doi.org/10.1007/s40808-016-0257-9 CrossRefGoogle Scholar
  8. Demeke K, Zeller M (2011) Using panel data to estimate the effect of rainfall shocks on small holder’s food security and vulnerability in rural Ethiopia. Clim Change 108:185–206CrossRefGoogle Scholar
  9. Dile YT, Berndtsson R, Setegn SG (2013) Hydrological response to climate change for Gilgel Abay River, in the Lake Tana Basin—Upper Blue Nile Basin of Ethiopia. PLoS One.  https://doi.org/10.1371/journal.pone.0079296 CrossRefGoogle Scholar
  10. Elshamy ME, Seierstad IA, Sorteberg A (2009) Impacts of climate change on Blue Nile flows using bias-corrected GCM scenarios. Hydrol Earth Syst Sci 13(5):551–565CrossRefGoogle Scholar
  11. FAO (2006) Crop evapotranspiration, guideline for computing crop water requirementsGoogle Scholar
  12. FAO (2016) FAO in Ethiopia El Niño response plan 2016Google Scholar
  13. FAO (Food and Agriculture Organization of the United Nations) (2002) Irrigation manual: planning, development monitoring and evaluation of irrigated agriculture with farmer participation, vol II, Module 7Google Scholar
  14. Farag AA, Abdrabbo MAA, Ahmed MSM (2015) GIS tool for distribution reference evapotranspiration under climate change in Egypt. Int J Plant Soil Sci 3(6):575–588CrossRefGoogle Scholar
  15. Fischer G, Tubiello FN, van Velthuizen H, Wiberg DA (2007) Climate change impacts on irrigation water requirements: Effects of mitigation, 1990–2080. Technol Forecast Soc Change 74:1083–1107CrossRefGoogle Scholar
  16. Gebere SB, Alamirew T, Merkel BJ, Melesse AM (2015) Performance of high-resolution satellite rainfall products over data scarce parts of eastern Ethiopia. Remote Sens 7:11639–11663.  https://doi.org/10.3390/rs70911639 CrossRefGoogle Scholar
  17. 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 3:1.  https://doi.org/10.4172/2332-2594.1000121 CrossRefGoogle Scholar
  18. Gebrehiwot SG (2012) Hydrology and forests in the Blue Nile Basin, PhD dissertation. Swed. Univ. of Agric. Sci, UppsalaGoogle Scholar
  19. Gebremicael TG, Mohamed YA, Betrie GD, van der Zaag P, Teferi E (2012) Trend analysis of runoff and sediment fluxes in the upper Blue Nile basin: a combined analysis of statistical tests, physically-based models and land use maps. J Hydrol 482:57–68CrossRefGoogle Scholar
  20. Gondim RS, de Castro MAH, Maia ADN, Evangelista SRM, Fuck SCD (2012) Climate change impacts on irrigation water needs in the Jaguaribe River Basin. J Am Water Resour Assoc 48(2):355–365CrossRefGoogle Scholar
  21. Hailu SA, Li MH, Tung CP, Liu TM (2016) Assessing climate change impact on Gilgel Abbay and Gumara Watershed Hydrology, the Upper Blue Nile Basin, Ethiopia. Terr Atmos Ocean Sci 27(6):1005–1018CrossRefGoogle Scholar
  22. Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Trans ASAE 1(2):96–99Google Scholar
  23. Ho CK, Stephenson DB, Collins M, Ferro CAT, Brown SJ (2012) Calibration strategies: a source of additional uncertainty in climate change projections. Bull Am MeteorOL Soc 93:21–26CrossRefGoogle Scholar
  24. Huh S, Dickey DA, Meador MR, Ruhl KE (2005) Temporal analysis of the frequency and duration of low and high streamflow: years of record needed to characterize streamflow variability. J Hydrol 310:78–94CrossRefGoogle Scholar
  25. IPCC (2007) Climate Change (2007) The physical science basis–summary for Policymakers. Contribution of WG1 to the Fourth assessment report of the Intergovernmental Panel on Climate ChangeGoogle Scholar
  26. IPCC (2014) Climate change: synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer (Eds.)]. IPCC, GenevaGoogle Scholar
  27. Kahsay KD, Pingale SM, Hatiye SD (2017) Impact of climate change on groundwater recharge and base flow in the sub-catchment of Tekeze basin, Ethiopia. Groundw Sustain Dev 5:10.  https://doi.org/10.1016/j.gsd.2017.12.002 CrossRefGoogle Scholar
  28. Kurc SA, Small EE (2007) Soil moisture variations and ecosystem scale fluxes of water and carbon in semiarid grassland and shrubland. Water Resour Res.  https://doi.org/10.1029/2006wr005011 CrossRefGoogle Scholar
  29. Leander R, Buishand TA (2007) Resampling of regional climate model output for the simulation of Extreme River flows. J Hydrol 332:487–496CrossRefGoogle Scholar
  30. Li L, Li W, Ballard T et al (2016) CMIP5 model simulations of Ethiopian Kiremt-season precipitation: current climate and future changes. Climate Dyn 46:2883–2895.  https://doi.org/10.1007/s00382-015-2737-4 CrossRefGoogle Scholar
  31. Lindström G, Johansson B, Persson M, Gardelin M, Bergström S (1997) Development and test of the distributed HBV-96 hydrological model. J Hydrol 201:272–288CrossRefGoogle Scholar
  32. Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50:885–900.  https://doi.org/10.13031/2013.23153 CrossRefGoogle Scholar
  33. Nakicenovic N, Swart R (2000) Special report on emissions scenarios. Cambridge Univ. Press, CambridgeGoogle Scholar
  34. Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models. Part I: a discussion of principles. J Hydrol 10:282–290CrossRefGoogle Scholar
  35. Niguse A, Aleme A (2015) Modeling the impact of climate change on production of Sesame in western zone of Tigray, Northern Ethiopia. J Climatol Weather Forecast 3:150.  https://doi.org/10.4172/2332-2594.1000150 CrossRefGoogle Scholar
  36. NMSA (1996) Climate and agro climatic resource of Ethiopia. Meteorological Research Report Series. 1(1), Addis AbabaGoogle Scholar
  37. Onoz B, Bayazit M (2003) The power of statistical tests for trend detection. Turk J Eng Environ Sci 27:247–251Google Scholar
  38. Pettitt AN (1979) A non-parametric approach to the change-point problem. Appl Stat 28(2):126–135CrossRefGoogle Scholar
  39. Pingale SM, Khare D, Jat MK, Adamowski J (2016) Trend analysis of climatic variables in an arid and semi-arid region of the Ajmer District, Rajasthan, India. J Water Land Dev 28(1):3–18CrossRefGoogle Scholar
  40. Riahi G, Nakicenovic N (2007) Scenarios of long-term socio-economic and environmental development under climate stabilization. Technol Forecast Soc Change 74(7):887–935CrossRefGoogle Scholar
  41. Richter BD, Baumgartner JV, Wigington R, Braun DP (1997) How much water does a river need? Freshw Biol 37:231–249CrossRefGoogle Scholar
  42. Santhi C (2001) Validation of the SWAT model on a large river basin with point and nonpoint sources. J Am Water Resour Assoc 37(5):1169–1188CrossRefGoogle Scholar
  43. Sean A, Woznickia A, Nejadhashemia P, Masoud P (2015) Climate change and irrigation demand: uncertainty and adaptation. J Hydrol Reg Stud 3:247–264CrossRefGoogle Scholar
  44. Seibert J, Vis MJP (2012) Teaching hydrological modeling with a user-friendly catchment-runoff-model software package. Hydrol Earth Syst Sci 16(9):3315–3325CrossRefGoogle Scholar
  45. Seibert J (2002) HBV light version 2 users manual. Department of Earth Science, Hydrology, UppsalaGoogle Scholar
  46. SMHI (Swedish Meteorological and Hydrological Institute) (2006) Integrated Hydrological Modeling System Manual, Version 5.1Google Scholar
  47. Subramanya K (2008) Engineering hydrology. Tata McGraw, New DelhiGoogle Scholar
  48. Tabari H, Maroti S, Aeini A, Talaee PH, Mohammadi K (2011) Trend analysis of reference evapotranspiration in the western half of Iran. Agric For Meteorol 151(2):128–136CrossRefGoogle Scholar
  49. Taye MT, Willems P, Block P (2015) Implications of climate change on hydrological extremes in the Blue Nile basin: a review. J Hydrol Reg Stud 4:280–293CrossRefGoogle Scholar
  50. Tekleab SY, Mohamed S (2013) Hydro-climatic trends in the Abay/Upper Blue Nile basin, Ethiopia. Phys Chem Earth 61–62:32–42CrossRefGoogle Scholar
  51. The Nature Conservancy (2009) Indicators of Hydrologic Alteration Version 7.1 User’s Manual assessed on 7 March, 2017. https://www.conservationgateway.org/Documents/IHAV7.pdfGoogle Scholar
  52. Urgaya ML (2016) Modeling the impacts of climate change on chickpea production in Adaa Woreda (East Showa Zone) in the semi-arid central Rift valley of Ethiopia. J Pet Environ Biotechnol 7:288.  https://doi.org/10.4172/2157-7463.1000288 CrossRefGoogle Scholar
  53. van Vuuren DP et al (2011) Representative concentration pathways: an overview. Clim Change 109:5–31.  https://doi.org/10.1007/s10584-011-0148-z CrossRefGoogle Scholar
  54. Wilske B, Kwon H, Wei L, Chen S, Lu N, Lin G, Xie J, Guan W, Pendall E, Ewers BE, Chen J (2010) Evapotranspiration (ET) and regulating mechanisms in two semiarid Artemisia-dominated shrub steppes at opposite sides of the globe. J Arid Environ 74:1461–1470CrossRefGoogle Scholar
  55. XLSTAT (2015) XLSTAT Pro. Addinsoft SARL, ParisGoogle Scholar
  56. Yue S, Wang C (2004) The Mann-Kendall Test modified by effective sample size to detect trend in serially correlated hydrological series. Water Resour Manag 18:201–218CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Water Resources and Irrigation Engineering, Arba Minch Water Technology InstituteArba Minch UniversityArba MinchEthiopia
  2. 2.Hydrological Investigations DivisionNational Institute of HydrologyRoorkeeIndia

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