Skip to main content

Advertisement

Log in

Future drought and aridity monitoring using multi-model approach under climate change in Hintalo Wejerat district, Ethiopia

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

Abstract

Drought is a complex natural phenomenon and recurring meteorological event that affects environmental factors and agriculture, humans and wildlife, as well as local economies. For countries located in arid and semi-arid regions, drought monitoring has become important tool. This study aims to evaluate the performances of drought indices and monitor future drought, evapotranspiration and aridity in Hinalo Wejerat, Ethiopia. The baseline climate data (1980–2009) were projected to near (2010–2039) and mid-term (2040–2069) using an ensemble of 20 general circulation models in the mitigation scenario. Drought was estimated using an ensemble of seven indices, namely Standardized Precipitation Index, Percent of Normal Index, Effective Drought Index, Z-score, Rainfall Anomaly Index, Modified China Z-index and Reconnaissance Drought Indexes using Meteorological Drought Monitoring and DrinC software. Time series analyses were calculated using AnClim software. All indices show significant correlation with each other and ensemble at p < 0.05. The frequency of moderately dry condition might be increased from 13.3, 13.3 to 16.7%, extremely dry condition from 3.3 to 6.7, 6.7% during the current, near and mid-terms, respectively. The trends of extremely wet, moderately wet and normal might be similar. The change of drought frequency in the current, near and mid-term is significant at p < 0.05. Potential evapotranspiration is projected to increase from 1645.6 to 1902.4 and 1988.9 mm per year in the near and mid-term when compared with current. Accordingly, aridity in the near and end-term might increase by 9.9 and 22.1%, respectively. Therefore, this study notes that sustainable water resource management and drought policy should be applied to ensure household food security.

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

Similar content being viewed by others

References

  • Akhtari R, Morid S, Mahdian MH, Smakhtin V (2009) Assessment of areal interpolation methods for spatial analysis of SPI and EDI drought indices. Int J Climatol J R Meteorol Soc 29:135–145

    Google Scholar 

  • Arora VK (2002) The use of the aridity index to assess climate change effect on annual runoff. J Hydrol 265:164–177

    Google Scholar 

  • Asefjah B, Fanian F, Feizi Z, AbolhasaniZarjo A, Paktinat H, TaghiNaghilou M, Molaei Atani A, Asadollahi M, Babakhani M, Kouroshniya A (2014) Meteorological drought monitoring using several drought indices (case study: Salt Lake Basin in Iran). Desert 19:155–165

    Google Scholar 

  • Aung M, Shrestha S, Weesakul S, Shrestha P (2015) Multi-model climate change projections for Belu River Basin, Myanmar under representative concentration pathways. J Earth Sci Clim Change 7:1–13

    Google Scholar 

  • Azarakhshi M, Mahdavi M, Arzani H, Ahmadi H (2011) Assessment of the Palmer drought severity index in arid and semi arid rangeland: case study: Qom province, Iran. Desert 16:77–86

    Google Scholar 

  • Bayissa Y, Maskey S, Tadesse T, van Andel SJ, Moges S, van Griensven A, Solomatine D (2018) Comparison of the performance of six drought indices in characterizing historical drought for the Upper Blue Nile Basin, Ethiopia. Geosciences 8:81

    Google Scholar 

  • Berhe M, Mirutse G, Gebremedhin B (2013) Identifying beekeepers’ adaptation strategies in response to climate change in Tigray, Ethiopia. J Agric Res 2:155–159

    Google Scholar 

  • Bhuiyan C, Singh R, Kogan F (2006) Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data. Int J Appl Earth Obs Geoinf 8:289–302

    Google Scholar 

  • Bokhari SAA, Ahmad B, Ali J, Ahmad S, Mushtaq H, Rasul G (2018) Future climate change projections of the Kabul River Basin using a multi-model ensemble of high-resolution statistically downscaled data. Earth Syst Environ 2(3):477–497

    Google Scholar 

  • Botterill LC, Wilhite DA (2006) From disaster response to risk management: Australia’s national drought policy. Springer, Berlin

    Google Scholar 

  • Byun H-R, Wilhite DA (1999) Objective quantification of drought severity and duration. J Clim 12:2747–2756

    Google Scholar 

  • Capra A, Consoli S, Scicolone B (2013) Long-term climatic variability in calabria and effects on drought and agrometeorological parameters. Water Resour Manag 27:601–617

    Google Scholar 

  • Cook ER, Woodhouse CA, Eakin CM, Meko DM, Stahle DW (2004) Long-term aridity changes in the western United States. Science 306:1015–1018

    Google Scholar 

  • Dai A (2011) Drought under global warming: a review, Wiley Interdisciplinary Reviews. Clim Change 2:45–65. https://doi.org/10.1002/wcc

    Article  Google Scholar 

  • Dai A (2013) Increasing drought under global warming in observations and models. Nat Clim Change 3:52–58

    Google Scholar 

  • Dastorani M, Bavani A, Poormohammadi S, Rahimian M (2011a) Assessment of potential climate change impacts on drought indicators (case study: Yazd station, Central Iran). Desert 2008–0875:16

    Google Scholar 

  • Dastorani MT, Bavani AM, Poormohammadi S, Rahimian M (2011b) Assessment of potential climate change impacts on drought indicators. Case study: Yazd in central Iran. Desert 16:157–166

    Google Scholar 

  • Djellouli F, Bouanani A, Baba-Hamed K (2016) Efficiency of some meteorological drought indices in different time scales, case study: Wadi Louza basin (NW-Algeria). J Water Land Dev 31:33–41

    Google Scholar 

  • Dogan S, Berktay A, Singh VP (2012) Comparison of multi-monthly rainfall-based drought severity indices, with application to semi-arid Konya closed basin, Turkey. J Hydrol 470:255–268

    Google Scholar 

  • Edenhofer O, Pichs-Madruga R, Sokona Y, Minx JC (2014) Change 2014: mitigation of climate change. Contribution of working group III to the fifth assessment report of the intergovernmental panel on climate change

  • Edwards DC (1997) Characteristics of 20th century drought in the United States at multiple time scales. Air Force Institute of Technology, Patterson

    Google Scholar 

  • Edwards C, McKee T, Doesken N, Kleist J (1997) Historical analysis of drought in the United States. In: 77th conference on climate variations, 77th AMS annual meeting, 1997, pp 2–7

  • Giorgi F, Jones C, Asrar GR (2009) Addressing climate information needs at the regional level: the CORDEX framework. World Meteorol Organ (WMO) Bull 58:175

    Google Scholar 

  • Guttman NB (1998) Comparing the palmer drought index and the standardized precipitation index1. JAWRA J Am Water Resour Assoc 34:113–121

    Google Scholar 

  • Hayes MJ (2006) Drought indices. What is drought

  • Heim RR Jr (2002) A review of twentieth-century drought indices used in the United States. Bull Am Meteor Soc 83:1149–1165

    Google Scholar 

  • Hood A, Cechet B, Hossain H, Sheffield K (2006) Options for Victorian agriculture in a “new” climate: pilot study linking climate change and land suitability modelling. Environ Model Softw 21:1280–1289

    Google Scholar 

  • Hrnjak I, Gavrilov MB, Marković SB, Lukić T, Tošić I, Unkašević M (2013) Special software for aridity indices calculation (AICS); Vojvodina, Serbia case study. J Geogr Inst Jovan Cvijic, SASA 63:83–94

    Google Scholar 

  • IPCC (2001) Climate change 2001: the scientific basis. Cambridge University Press, Cambridge

    Google Scholar 

  • Jacob D, Bärring L, Christensen OB, Christensen JH, De Castro M, Deque M, Giorgi F, Hagemann S, Hirschi M, Jones R (2007) An inter-comparison of regional climate models for Europe: model performance in present-day climate. Clim Change 81:31–52

    Google Scholar 

  • Kendall MG, Stuart A (1977) The advanced theory of statistics. High Wycombe, London, pp 400–401

  • Kenny G, Ye W, Flux T, Warrick R (2001) Climate variations and New Zealand agriculture: the CLIMPACTS system and issues of spatial and temporal scale. Environ Int 27:189–194

    Google Scholar 

  • Li Y, Feng A, Liu W, Ma X, Dong G (2017) Variation of aridity index and the role of climate variables in the southwest China. Water 9:743

    Google Scholar 

  • Loukas A, Vasiliades L, Tzabiras J (2008) Climate change effects on drought severity. Adv Geosci 17:23–29

    Google Scholar 

  • Maliva R, Missimer T (2012) Aridity and drought. Arid lands water evaluation and management. Springer, Berlin

    Google Scholar 

  • Mall R, Lal M, Bhatia V, Rathore L, Singh R (2004) Mitigating climate change impact on soybean productivity in India: a simulation study. Agric For Meteorol 121:113–125

    Google Scholar 

  • Masih I, Maskey S, Mussá FEF, Trambauer P (2014) A review of droughts on the African continent: a geospatial and long-term perspective. Hydrol Earth Syst Sci 18(9):3635–3649

    Google Scholar 

  • McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: Proceedings of the 8th conference on applied climatology, 1993. American Meteorological Society Boston, MA, pp 179–183

  • Merabti A, Meddi M, Martins DS, Pereira LS (2018) Comparing SPI and RDI applied at local scale as influenced by climate. Water Resour Manag 32:1071–1085

    Google Scholar 

  • Moonen A, Ercoli L, Mariotti M, Masoni A (2002) Climate change in Italy indicated by agrometeorological indices over 122 years. Agric For Meteorol 111:13–27

    Google Scholar 

  • Morid S, Smakhtin V, Moghaddasi M (2006) Comparison of seven meteorological indices for drought monitoring in Iran. Int J Climatol J R Meteorol Soc 26:971–985

    Google Scholar 

  • Morsy M, El-Sayed T, Ouda SA (2016) Potential evapotranspiration under present and future climate. Management of climate induced drought and water scarcity in Egypt. Springer, Berlin

    Google Scholar 

  • Nastos PT, Politi N, Kapsomenakis J (2013) Spatial and temporal variability of the aridity index in Greece. Atmos Res 119:140–152

    Google Scholar 

  • Nohegar A, Heydarzadeh M, Malekian A (2013) Assessment of severity of droughts using geostatistics method (case study: Southern Iran). Desert 18:79–87

    Google Scholar 

  • Önder D, Aydin M, Berberoğlu S, Önder S, Yano T (2009) The use of aridity index to assess implications of climatic change for land cover in Turkey. Turk J Agric For 33:305–314

    Google Scholar 

  • Oudin L, Moulin L, Bendjoudi H, Ribstein P (2010) Estimating potential evapotranspiration without continuous daily data: possible errors and impact on water balance simulations. Hydrol Sci J 55:209–222

    Google Scholar 

  • Parry ML, Canziani OF, Palutikof JP, Van Der Linden PJ, Hanson CE (2007) IPCC, 2007: climate change 2007: impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge Uni-versity Press, Cambridge, UK

  • Rahmat SN, Jayasuriya N, Bhuiyan M (2015) Assessing droughts using meteorological drought indices in Victoria, Australia. Hydrol Res 46:463–476

    Google Scholar 

  • Ramachandran A, Praveen D, Jaganathan R, Palanivelu K (2015) Projected and observed aridity and climate change in the east coast of South India under RCP 4.5. Sci World J. https://doi.org/10.1155/2015/169761

    Article  Google Scholar 

  • Rienecker MM, Suarez MJ, Gelaro R, Todling R, Bacmeister J, Liu E, Bosilovich MG, Schubert SD, Takacs L, Kim G-K (2011) MERRA: NASA’s modern-era retrospective analysis for research and applications. J Clim 24:3624–3648

    Google Scholar 

  • Ruane AC, Winter JM, McDermid SP, Hudson NI (2015) AgMIP climate data and scenarios for integrated assessment. Handbook of climate change and agroecosystems: The agricultural model intercomparison and improvement project integrated crop and economic assessments, part 1. World Scientific, Singapore

    Google Scholar 

  • Salehnia N, Alizadeh A, Sanaeinejad H, Bannayan M, Zarrin A, Hoogenboom G (2017) Estimation of meteorological drought indices based on AgMERRA precipitation data and station-observed precipitation data. J Arid Land 9:797–809

    Google Scholar 

  • Semenov MA, Stratonovitch P (2010) Use of multi-model ensembles from global climate models for assessment of climate change impacts. Clim Res 41:1–14

    Google Scholar 

  • Stepanek P (2008) AnClim—software for time series analysis. Department of Geography, Faculty of Natural Sciences, MU, Brno. 1.47 MB. http://www.climahom.eu/AnClim.html. Accessed 12 May 2019

  • Tallaksen LM, van Lanen HA (2007) Key aspects of low flow and drought. Low Flows Droughts: 13

  • Thomson AM, Calvin KV, Smith SJ, Kyle GP, Volke A, Patel P, Delgado-Arias S, Bond-Lamberty B, Wise MA, Clarke LE (2011) RCP4.5: a pathway for stabilization of radiative forcing by 2100. Clim Change 109:77

    Google Scholar 

  • Tozier de la Poterie A et al (2017) Preparing for the 2015–16 El Niño: Humanitarian Action in Zambia, Somalia, Kenya, Ethiopia and Malawi

  • Tsakiris G, Vangelis H (2005) Establishing a drought index incorporating evapotranspiration. Eur Water 9:3–11

    Google Scholar 

  • Tsakiris G, Tsihrintzis VA, Vangelis H, Tigkas D (2017) Panta Rhei. In: Proceedings of the 10th World Congress of EWRA on Water Resournces and Environent, pp 6–9

  • Türkeş M (2003) Spatial and temporal variations in precipitation and aridity index series of Turkey. Mediterranean climate. Springer, Berlin

    Google Scholar 

  • UN (2015) ‘Ethiopia: UN warns of deepening food insecurity, allocates emergency funds to tackle severe drought’. United Nations News Centre. www.un.org/apps/news/story.asp?NewsID=52569#.WQr5X4nyui5

  • United Nations Educational, Scientific and Cultural Organization (UNESCO) (1979) Map of the world distribution of arid regions: Map at scale 1:25,000,000 with explanatory note. MAB Technical Notes 7, UNESCO, Paris

  • Van Lanen HAJ, Tallaksen L (2007) Hydrological drought, climate variability and change. In: Third international conference on climate and water, Helsinki, pp 488–493

  • Van Vuuren DP, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K, Hurtt GC, Kram T, Krey V, Lamarque J-F (2011) The representative concentration pathways: an overview. Clim Change 109:5

    Google Scholar 

  • Weiland FS, Van Beek L, Weerts A, Bierkens M (2012) Extracting information from an ensemble of GCMs to reliably assess future global runoff change. J Hydrol 412:66–75

    Google Scholar 

  • Wilhite DA, Svoboda MD, Hayes MJ (2005) Monitoring drought in the United States: status and trends. In: Monitoring and predicting agricultural drought: a global study, pp.121–131

  • Willeke G, Hosking J, Wallis J, Guttman N (1994) The national drought atlas. Institute for water resources report, p 94

  • Zamani R, Tabari H, Willems P (2015) Extreme streamflow drought in the Karkheh river basin (Iran): probabilistic and regional analyses. Nat Hazards 76:327–346

    Google Scholar 

  • Zarch MAA, Malekinezhad H, Mobin MH, Dastorani MT, Kousari MR (2011) Drought monitoring by reconnaissance drought index (RDI) in Iran. Water Resour Manag 25:3485

    Google Scholar 

  • Zarch MAA, Sivakumar B, Sharma A (2015) Droughts in a warming climate: a global assessment of Standardized precipitation index (SPI) and reconnaissance drought index (RDI). J Hydrol 526:183–195

    Google Scholar 

  • Zarch MAA, Sivakumar B, Malekinezhad H, Sharma A (2017) Future aridity under conditions of global climate change. J Hydrol 554:451–469

    Google Scholar 

  • Zeng N (2003) Drought in the Sahel. Science 302:999–1000. https://doi.org/10.1126/science.1090849

    Article  Google Scholar 

  • Zhao T, Dai A (2015) The magnitude and causes of global drought changes in the twenty-first century under a low–moderate emissions scenario. J Clim 28(11):4490–4512

    Google Scholar 

Download references

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

HA designed, collected and analyzed the data, and wrote the manuscript. HH contributed to writing and reviewing the manuscript. Both authors read and approved the final manuscript.

Corresponding author

Correspondence to Haftu Abrha.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Consent for publication

We are very happy about the publication.

Additional information

Publisher's Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abrha, H., Hagos, H. Future drought and aridity monitoring using multi-model approach under climate change in Hintalo Wejerat district, Ethiopia. Sustain. Water Resour. Manag. 5, 1963–1972 (2019). https://doi.org/10.1007/s40899-019-00350-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40899-019-00350-1

Keywords

Navigation