Climate Change Impact on Stream Flow in the Upper Gilgel Abay Catchment, Blue Nile basin, Ethiopia

  • Anwar A. Adem
  • Seifu A. Tilahun
  • Essayas K. Ayana
  • Abeyou W. Worqlul
  • Tewodros T. Assefa
  • Shimelis B. Dessu
  • Assefa M. Melesse
Chapter
Part of the Springer Geography book series (SPRINGERGEOGR)

Abstract

According to Intergovernmental Panel on Climate Change (IPCC ) future projections , precipitation and temperature will increase over eastern Africa in the coming century. This chapter presents basin-level impact of climate change on stream flow in Upper Gilgel Abay catchment , Blue Nile basin, Ethiopia , by downscaling HadCM3 global climate model (GCM) using statistical downscaling model (SDSM). IPCC recommended baseline period (1961–1990) was used for analysis of baseline scenario. For future scenario analysis time periods of the 2020s, 2050s and 2080s were used. Globally, HadCM3 model is widely applied for climate change studies and it contains A2 (medium–high emission) and B2 (medium–low emission) scenarios. The impact assessment on stream flow was done using the soil and water assessment tool (SWAT ) hydrological model. The performance of SWAT model in simulating the stream flow was shown with a Nash–Sutcliffe Efficiency (NSE) of 0.76 and 0.78 for calibration and validation periods, respectively. Mean annual changes of precipitation and temperature (maximum and minimum) were applied to quantify these impacts. The result of downscaled precipitation and temperature reveals a systematic increase in all future time periods for both A2 and B2 scenarios. These increases in climate variables are expected to increase mean annual stream flow by 7.1, 9.7, and 10.1 % for A2 scenario and by 6.8, 7.9, and 6.4 % for B2 scenario for 2020s, 2050s, and 2080s, respectively. Future work need to consider impact of land use change on the catchment for future sustainable development plan.

Keywords

Climate change IPCC A2 and B2 scenarios Precipitation and temperature Hadcm3 SWAT Upper Gilgel Abay Nile basin 

Notes

Acknowledgment

We would like to acknowledge Blue Nile Water Institute (BNWI) and Tana sub-basin Organization (TaSBO) for their financial support. We also thankful to Ministry of Water and Energy (MoWE) and National Meteorology Agency (NMA)—Bahir Dar Branch Directorate for their help by providing necessary data for the study.

References

  1. Abbaspour KC (2011) SWAT-CUP4: SWAT calibration and uncertainty programs—A user manual. p21Google Scholar
  2. Abdo KS, Fiseha BM, 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
  3. Abtew W, Melesse AM (2014a) Nile River Basin hydology. In: Melesse AM, Abtew W, Setegn S (eds) Nile River Basin: ecohydrological challenges, climate change and hydropolitics. Springer, Berlin, pp 7–22Google Scholar
  4. Abtew W, Melesse AM (2014b). Climate teleconnections and water management. In: Nile River Basin. Springer International Publishing, Berlin, pp. 685-705Google Scholar
  5. Abtew W, Melesse AM (2014c) Transboundary Rivers and the Nile. In: Nile River Basin. Springer International Publishing, Berlin, pp 565–579Google Scholar
  6. Abtew W, Melesse AM, Desalegn T (2009a) Spatial, inter and intra-annual variability of the Blue Nile River Basin rainfall. Hydrol Process 23(21):3075–3082CrossRefGoogle Scholar
  7. Abtew W, Melesse AM, Desalegn T (2009b) El Niño Southern Oscillation link to the Blue Nile River Basin hydrology. Hydrol Process 23(26):3653–3660 (Special issue: Nile Hydrology)Google Scholar
  8. AMCEN (2011) Addressing climate change challenges in Africa: A practical guide towards sustainable development, p3Google Scholar
  9. Arnold JG, Muttiah RS, Srinivasan R, Allen PM (2000) Regional estimation of base flow and groundwater recharge in Upper Mississippi River basin. J Hydrol 227:21–40CrossRefGoogle Scholar
  10. Anwar A, Melesse AM, Admasu S (2014) Climate change in upper Gilgel Abay River catchment, Blue Nile Basin Ethiopia. In: Melesse AM, Abtew W, Setegn S (eds) Nile River Basin: ecohydrological challenges, climate change and hydropolitics. Springer, Berlin, pp 363–388Google Scholar
  11. Bader D, Covey C, Gutowski W, Held I, Kunkel K, Miller R, Tokmakian R, Zhang M (2008) Climate models: an assessment of strengths and limitations. US Department of Energy Publications, p 8Google Scholar
  12. Bates B, Kundzewicz ZW, Wu S, Palutikof J (2008) Climate change and water. Intergovernmental Panel on Climate Change (IPCC)Google Scholar
  13. Behulu F., Setegn S., Melesse A.M. and Fiori A., (2013) Hydrological analysis of the Upper Tiber Basin: A Watershed Modeling Approach, Hydrological Processes, 27(16), 2339–2351Google Scholar
  14. Behulu F, Setegn S, Melesse AM, Romano E, Fiori A (2014) Impact of climate change on the hydrology of Upper Tiber River Basin using bias corrected regional climate model. Water Resour Manag 1–17Google Scholar
  15. Beyene T, Lettermaier DP, Kabat P (2010) Hydrologic impacts of climate change on the Nile River Basin: implications of the 2007 IPCC scenarios. Clim Change 100:433–461CrossRefGoogle Scholar
  16. Carter TR, Hulme M, Lal M (1999) Guidelines on the use of scenario data for climate impact and adaptation assessment v1Google Scholar
  17. Carter TR, Hulme M, Lal M (2007) Guidelines on the use of scenario data for climate impact and adaptation assessment v2Google Scholar
  18. CCIS (2008) Frequently asked questions. SDSM Background 1of 4Google Scholar
  19. Chebud, Y., Melesse, A.M. (2013) Stage Level, Volume, and Time-frequency change information content of Lake Tana using Stochastic Approaches, Hydrological Processes, 27(10): 1475–1483 DOI:  10.1002/hyp.9291
  20. Chebud YA, Melesse AM (2009a) Numerical modeling of the groundwater flow system of the Gumera Sub-Basin in Lake Tana Basin, Ethiopia. Hydrol Process 23(26):3694–3704 (Special issue: Nile Hydrology)Google Scholar
  21. Chebud YA, Melesse AM (2009b) Modeling lake stage and water balance of Lake Tana, Ethiopia. Hydrol Process 23(25):3534–3544CrossRefGoogle Scholar
  22. Chen H, Xiang T, Zhou X, CY XU (2012) Impacts of climate change on the Qingjiang Watershed’s runoff change trend in China. Stoch Env Res Risk Assess 26:847–858CrossRefGoogle Scholar
  23. Crane RG, Hewitson BC (1998) Doubled CO2 precipitation changes for the susquehanna basin: down-scaling from the genesis general circulation model. Int J Climatol 18:65–76CrossRefGoogle Scholar
  24. Deboer B (2007) The impact of climate change on rainfall extremes over Northeast Africa. KNMI, Royal Netherlands Meteorological Institute, De Bilt, Netherlands p5Google Scholar
  25. Dessu SB, Melesse AM (2012) Modeling the rainfall-runoff process of the Mara River Basin using SWAT. Hydrol Process 26(26):4038–4049CrossRefGoogle Scholar
  26. Dessu SB, Melesse AM (2013) Impact and uncertainties of climate change on the hydrology of the Mara River Basin. Hydrol Process 27(20):2973–2986Google Scholar
  27. Dessu SB, Melesse AM, Bhat M, McClain M (2014) Assessment of water resources availability and demand in the Mara River Basin. CATENA 115:104–114CrossRefGoogle Scholar
  28. Eguavoen I (2009) The acquisition of water storage facilities in the Abay River Basin. University of Bonn, EthiopiaGoogle Scholar
  29. Elshamy ME, Balirira R, Abdel-Gaffar E, Moges SA (2009) Investigating the climate sensitivity of different Nile sub-basins. In: 13th international water technology conference, IWTC 13 2009, Hurghada, EgyptGoogle Scholar
  30. Gagnon SB, Singh B, Rousselle J, Roy L (2005) An application of the statistical downscaling model (SDSM) to simulate climatic data for streamflow modelling in Québec. Can Water Resour J 30:297–314CrossRefGoogle Scholar
  31. Gebrekristos ST (2008) Watershed modeling of Lake Tana basin using SWAT. MSc Thesis, ArbaMinch University, 45Google Scholar
  32. Gebremariame ZH (2009) Assessment of climate change impact on the net basin supply of Lake Tana Water balance. ITC MSc thesis, ENSCHEDE, The NetherlandsGoogle Scholar
  33. Getachew HE, Melesse AM (2012) Impact of land use /land cover change on the hydrology of AngerebWatershed, Ethiopia. Int J Water Sci 1(4):1–7. doi: 10.5772/56266 Google Scholar
  34. Giorgi F, Mearns LO (1991) Approaches to the simulation of regional climate change: a review. Rev Geophys 29:191–216CrossRefGoogle Scholar
  35. Grey OP, Webber Dale G, Setegn SG, Melesse AM (2013) Application of the soil and water assessment tool (SWAT Model) on a small tropical Island State (Great River Watershed, Jamaica) as a tool in integrated watershed and coastal zone management. Int J Trop Biol Conserv 62(3):293–305Google Scholar
  36. Green WH, Ampt GA (1911) Studies on soil physics, 1, The flow of air and water through soils, J. Agric. Sci., 4(1), 1–24Google Scholar
  37. Hewitson BC, Crane RG (1996) Climate downscaling: techniques and application. Climate Research, 7, 85–95Google Scholar
  38. James LD, Burges SJ (1982) Selection, calibration, and testing of hydrologic models. Hydrol Model Small Watersheds, 437–472Google Scholar
  39. Jenkins GS, Barron EJ (1997) Global climate model and coupled regional climate model simulations over the eastern United States: GENESIS and RegCM2 simulations. Global Planet Change 15:3–32CrossRefGoogle Scholar
  40. Kim U, Kaluarachchi JJ (2009) Climate change impacts on water resources in the Upper Blue Nile River Basin, Ethiopia1. JAWRA J Am Water Resour Assoc 45:1361–1378CrossRefGoogle Scholar
  41. Mapfumo E, Chanasyk DS, Baron VS (2003) Patterns and simulation of soil water under different grazing management systems in central Alberta. Can J Soil Sci 83:601–614CrossRefGoogle Scholar
  42. Mango L, Melesse AM, McClain ME, Gann D, Setegn SG (2011a) Land use and climate change impacts on the hydrology of the upper Mara River Basin, Kenya: results of a modeling study to support better resource management. Hydrol Earth Syst Sci 15:2245–2258. doi: 10.5194/hess-15-2245-2011 (Special issue: Climate, weather and hydrology of East African Highlands)
  43. Mango L, Melesse AM, McClain ME, Gann D, Setegn SG (2011b) Hydro-meteorology and water budget of Mara River basin, Kenya: a land use change scenarios analysis. In: Melesse A (ed) Nile River Basin: hydrology, climate and water use. Springer Science Publisher, Berlin, Chapter 2, pp 39–68. doi: 10.1007/978-94-007-0689-7_2
  44. McCarthy JJ, Canziani OF, Leary NA, Dokken DJ, White KS (2001) Climate change 2001: impacts, adaptation, and vulnerability: contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, CambridgeGoogle Scholar
  45. Mekonnnen K, Tadele K (2012) Analyzing the impact of land use and climate changes on soil erosion and stream flow in the Upper Gilgel Abbay Catchment, Ethiopia Ohrid, Republic of Macedonia, pp 1–13Google Scholar
  46. Melesse AM (2011) Nile River Basin: hydrology, climate and water use. Springer Science & Business Media, BerlinCrossRefGoogle Scholar
  47. Melesse AM, Loukas AG, Senay G, Yitayew M (2009a) Climate change, land-cover dynamics and ecohydrology of the Nile River Basin. Hydrol Process 23(26):3651–3652CrossRefGoogle Scholar
  48. Melesse A, Abtew W, Desalegne T, Wang X (2009b) Low and high flow analysis and wavelet application for characterization of the Blue Nile River System. Hydrol Process 24(3):241–252Google Scholar
  49. Melesse A, Abtew W, Setegn S, Dessalegne T (2011a) Hydrological variability and climate of the Upper Blue Nile River Basin. In: Melesse A (ed) Nile River Basin: hydrology, climate and water use. Springer Science Publisher, Berlin, Chapter 1, pp 3–37. doi: 10.1007/978-94-007-0689-7_1
  50. Melesse A, Bekele S, McCornick P (2011b) Hydrology of the Niles in the face of land-use and 839 climate dynamics. In: Melesse A (ed) Nile River Basin: hydrology, climate and water use. 840 Springer Science Publisher, Berlin, pp vii–xvii. doi: 10.1007/978-94-007-0689-7
  51. Melesse A, Abtew W, Setegn SG (2014) Nile River Basin: ecohydrological challenges, climate change and hydropolitics. Springer Science & Business Media, BerlinCrossRefGoogle Scholar
  52. Mohammed, H., Alamirew, T., Assen, M., Melesse, A.M 2015. Modeling of sediment yield in Maybar gauged watershed using SWAT, northeast Ethiopia, CATENA, 127, 191–205 Google Scholar
  53. Murphy J (1999) An evaluation of statistical and dynamical techniques for downscaling local climate. J Clim 12:2256–2284CrossRefGoogle Scholar
  54. Nakicenovic N, Alcamo J, Davis G, De Vries B, Fenhann J, Gaffin S, Gregory K, Grubler A, Jung TY, Kram T (2000) Special report on emissions scenarios: a special report of working group III of the Intergovernmental Panel on Climate Change. Pacific Northwest National Laboratory, Richland, WA (US), Environmental Molecular Sciences Laboratory (US)Google Scholar
  55. Neitsch SL, Arnold JG, Kiniry JR, Williams JR, Williams JR, King KW (2005) Soil and water assessment tool: theoretical documentation, version 2005. Texas, USAGoogle Scholar
  56. Parry ML (2007) Climate change 2007: impacts, adaptation and vulnerability: working group I contribution to the 4th assessment report of the IPCC. Cambridge University Press, CambridgeGoogle Scholar
  57. Santhi C, Arnold JG, Williams JR, Dugas WA, Srinivasan R, Hauck LM (2001) Validation of SWAT model on a large RWER basin with point and nonpoint sources. JAWRA J Am Water Resour Assoc 37:1169–1188CrossRefGoogle Scholar
  58. Santoso H, Idinoba M, Imbach P (2008) Climate scenarios: what we need to know and how to generate them. CIFOR Working PaperGoogle Scholar
  59. Schulze RE (1997) Impacts of global climate change in a hydrologically vulnerable region: challenges to South African hydrologists. Prog Phys Geogr 21:113–136CrossRefGoogle Scholar
  60. Setegn S, Melesse, AM (2014) Climate change impact on water resources and adaptation strategies in the Blue Nile River Basin, In: Melesse AM, Abtew W, Setegn S (eds) Nile River Basin: ecohydrological challenges, climate change and hydropolitics. Springer, Berlin, pp 389–420Google Scholar
  61. Setegn SG, Srinivasan R, Dargahi B, Melesse AM (2009a) Spatial delineation of soil erosion prone areas: application of SWAT and MCE approaches in the Lake Tana Basin, Ethiopia. Hydrol Process 23(26):3738–3750 (Special issue: Nile Hydrology)Google Scholar
  62. Setegn SG, Srinivasan R, Melesse AM, Dargahi B (2009b) SWAT model application and prediction uncertainty analysis in the Lake Tana Basin, Ethiopia. Hydrol Process 24(3):357–367Google Scholar
  63. Setegn SG, Bijan Dargahi B, Srinivasan R, Melesse AM (2010) Modelling of sediment yield from Anjeni Gauged Watershed, Ethiopia Using SWAT. JAWRA 46(3):514–526Google Scholar
  64. Setegn SG, Rayner D, Melesse AM, Dargahi B, Srinivasan R (2011) Impact of climate change on the hydroclimatology of Lake Tana Basin, Ethiopia. Water Resour Res 47:W04511Google Scholar
  65. Soliman ESA, Sayed MAA, Jeuland M (2009) Impact assessment of future climate change for the Blue Nile basin using a RCM nested in a GCM. Nile Basin Water Eng Sci Mag 2:15–30Google Scholar
  66. Solomon S (2007) Climate change 2007-the physical science basis: Working group I contribution to the fourth assessment report of the IPCC. Cambridge University Press, CambridgeGoogle Scholar
  67. Tadege A (2001) Initial national communication of Ethiopia to the United Nations framework convention on climate change (UNFCCC) National Meteorological Services Agency. Addis Ababa, EthiopiaGoogle Scholar
  68. Tafffese T (2012) Physically based rainfall: runoff modelling in the northern Ethiopian highlands: The case of Mizewa watershed. MSc Thesis, Bahir Dar UniversityGoogle Scholar
  69. Tarekegn D, Tadege A (2006) Assessing the impact of climate change on the water resources of the Lake Tana sub-basin using the WATBAL model. Discuss. Pap, 30Google Scholar
  70. Taye MT, Ntegeka V, Ogiramoi NP, Williams P (2011) Assessment of climate change impact on hydrological extremes in two source regions of the Nile River Basin. Hydrol Earth Syst Sci 15:209–222CrossRefGoogle Scholar
  71. Thorpe AJ (2005) Climate change prediction: a challenging scientific problem. Institute of PhysicsGoogle Scholar
  72. Von Storch H, Zorita E, Cubasch U (1993) Downscaling of global climate change estimates to regional scales: an application to Iberian rainfall in wintertime. J Clim 6:1161–1171CrossRefGoogle Scholar
  73. Wale A (2008) Hydrological balance of Lake Tana Upper Blue Nile Basin, Ethiopia. ITC Thesis 2008:159–180Google Scholar
  74. Wang X, Melesse AM (2005) Evaluations of the SWAT model’s snowmelt hydrology in a Northwestern Minnesota Watershed. Trans ASAE 48(4):1359–1376CrossRefGoogle Scholar
  75. Wang X, Melesse AM (2006) Effects of STATSGO and SSURGO as inputs on SWAT model’s snowmelt simulation. J Am Water Resour Assoc 42(5):1217–1236CrossRefGoogle Scholar
  76. Wang X, Melesse AM, Yang W (2006) Influences of potential evapotranspiration estimation methods on SWAT’s hydrologic simulation in a Northwestern Minnesota Watershed. Trans ASAE 49(6):1755–1771CrossRefGoogle Scholar
  77. Wang X, Shang S, Yang W, Melesse AM (2008a) Simulation of an agricultural watershed using an improved curve number method in SWAT. Trans Am Soc Agri Bio Eng 51(4):1323–1339Google Scholar
  78. Wang X, Yang W, Melesse AM (2008b) Using hydrologic equivalent wetland concept within SWAT to estimate streamflow in watersheds with numerous wetlands. Trans Am Soc Agri Bio Eng 51(1):55–72Google Scholar
  79. Wang X, Garza J, Whitney M, Melesse AM, Yang W (2008c) Prediction of sediment source areas within watersheds as affected by soil data resolution. In: Paul NF (ed) Environmental modelling: new research. Nova Science Publishers, Inc., Hauppauge, Ch. 7, pp 151–185. ISBN: 978-1-60692-034-3Google Scholar
  80. White ER, Easton ZM, Fuka DR, Steenhuts TS (2009) SWAT-WB theoretical documentation. Soil and Water Lab, department of biological and Environmental engineering, Cornell University, Ithaca, NYGoogle Scholar
  81. Wilby RL, Dawson CW (2007) Statistical Downscaling Model (SDSM), Version 4.2, A decision support tool for the assessment of regional climate change impacts. United KingdomGoogle Scholar
  82. Wilby RL, Dawson CW, Barrow EM (2002) SDSM—a decision support tool for the assessment of regional climate change impacts. Environ Model Softw 17:145–157CrossRefGoogle Scholar
  83. Wilby RL, Charles SP, Zorita E, Timbal B, Whetton P, Mearns LO (2004) Guidelines for use of climate scenarios developed from statistical downscaling methods. IPCC task group on data and scenario support for impacts and climate analysisGoogle Scholar
  84. Williams JR, Hann RW (1973) HYMO: problem-oriented language for hydrologic modeling-User’s manual. USDA. ARS-S-9, 45Google Scholar
  85. Xu CY (1999) From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches. Prog Phys Geogr 23:229–249CrossRefGoogle Scholar
  86. Xu CY, Widen E, Halldin S (2005) Modelling hydrological consequences of climate change—progress and challenges. Adv Atmos Sci 22:789–797CrossRefGoogle Scholar
  87. Yitayew M, Melesse AM (2011) Critical water resources management issues in Nile River Basin. In: Melesse A (ed) Nile River Basin: hydrology, climate and water use. Springer Science Publisher, Berlin, Chapter 20, pp 401–416. doi: 10.1007/978-94-007-0689-7_20

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Anwar A. Adem
    • 1
  • Seifu A. Tilahun
    • 2
  • Essayas K. Ayana
    • 2
    • 3
  • Abeyou W. Worqlul
    • 2
  • Tewodros T. Assefa
    • 2
  • Shimelis B. Dessu
    • 4
  • Assefa M. Melesse
    • 5
  1. 1.Tana Sub-Basin Office, Blue Nile AuthorityBahir DarEthiopia
  2. 2.School of Civil and Water Resources EngineeringBahir Dar UniversityBahir DarEthiopia
  3. 3.Geospatial Data and Technology CenterBahir Dar UniversityBahir DarEthiopia
  4. 4.Department of Civil EngineeringAddis Ababa UniversityAddis AbabaEthiopia
  5. 5.Department of Earth and EnvironmentFlorida International UniversityMiamiUSA

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