Analysis of Drought from Humid, Semi-Arid and Arid Regions of India Using DrinC Model with Different Drought Indices

  • U. SurendranEmail author
  • B. Anagha
  • P. Raja
  • V. Kumar
  • K. Rajan
  • M. Jayakumar


The study aims at evaluating the various drought indices for the humid, semi-arid and arid regions of India using conventional indices, such as rainfall anomaly index, departure analysis of rainfall and other indices such as Standard Precipitation Index (SPI) and Reconnaissance Drought Index (RDI) that were analyzed using the DrinC software. In SPI, arid region has seven drought years, whereas humid and semi-arid regions have four. In case of RDI, the humid and semi-arid regions have 11 drought years, whereas arid regions have 10 years. The difference in SPI and RDI was due to the fact that RDI considered potential evapotranspiration, and hence, correlation with plants would be better in case of RDI. Humid region showed a decreasing trend in initial value of RDI during the drought as compared to semiarid and arid regions and indicated possible climate change impact in these regions. Among all the indices, RDI was considered as an effective indicator because of implicit severity and high prediction matches with the actual drought years. SPI and RDI were found to be well correlated with respect to 3 months rainfall data and SPI values led to prediction of annual RDI. The results of our study established that this correlation could be used for developing disaster management plan well in advance to combat the drought consequences.


Drought DrinC Drought indices SPI RDI 



The authors declare no conflict of interest related to the manuscript. The first two authors are thankful to the Executive Director of the Centre and The Head, Water Management (Agriculture) Division for providing the necessary support and encouragement for the smooth completion of this study. Other authors also wish to thank their respective Head of the institutions for their support during the study period. Besides the authors wish to thank the anonymous reviewers wholeheartedly for their critical comments and suggestions.

Supplementary material

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ESM 1 (DOCX 21 kb)


  1. Anctil F, Larouche W, Viau AA (2002) Exploration of the standardized precipitation index with regional analysis. Can J Soil Sci 82(1):115–125CrossRefGoogle Scholar
  2. Anil KR, Indira H (2007) Multiple impacts of droughts and assessment of drought policy in major drought prone states in India. The Planning Commission, Government of India, New DelhiGoogle Scholar
  3. Beniston M, Stephenson DB (2004) Extreme climatic events and their evolution under changing climatic conditions. Glob Planet Chang 44:1–9CrossRefGoogle Scholar
  4. CWRDM (2017) Annual Report of KSCSTE-CWRDM 2016–17. Published by CWRDM, Kozhikode, Kerala IndiaGoogle Scholar
  5. Dai AG (2011) Characteristics and trends in various forms of the Palmer drought severity index during 1900–2008. J Geophys Res 116:1–26Google Scholar
  6. Edwards DC, McKee TB (1997) Characteristics of 20th century drought in the United States at multiple time scales. Climatol. Report number 97. Colorado State University, Fort CollinsGoogle Scholar
  7. GOI (2016) Manual for drought management. Department of Agriculture, Cooperation & Farmers Welfare Ministry of Agriculture & Farmers Welfare, Government of India, New DelhiGoogle Scholar
  8. Gommes R, Petrassi F (1994) Rainfall variability and drought in sub-Saharan Africa since 1960. Agro-meteorol. Series working paper 9. Food and Agriculture Organization, RomeGoogle Scholar
  9. Hayes MJ, Svoboda MD, Wilhite DA, Vanyarkho OV (1999) Monitoring the 1996 drought using the standardized precipitation index. Bull Am Meteorol Soc 80:429–438CrossRefGoogle Scholar
  10. Hayes M, Svoboda M, Wall N, Widhalm M (2011) The Lincoln declaration on drought indices: universal meteorological drought index recommended. Bull Am Meteorol Soc 92(4):485–488. CrossRefGoogle Scholar
  11. Huang SZ, Chang JX, Huang Q (2014) Spatio temporal changes and frequency analysis of drought in the Wei River Basin, China. Water Resour Manag 28(10):3095–3110CrossRefGoogle Scholar
  12. Kinninmonth WR, Voice ME, Beard GS, de Hoedt GC, Mullen CE (2000) Australian climate services for drought management. In: Wilhite DA (ed) Drought: a global assessment. Routledge, New York, pp 210–222Google Scholar
  13. Liu WT, Kogan FN (1996) Monitoring regional drought using the vegetation condition index. Int J Remote Sens 17:2761–2782CrossRefGoogle Scholar
  14. Mathieu R, Richard Y (2003) Intensity and spatial extension of drought in South Africa at different time scales. Water SA 29(4):489–500Google Scholar
  15. McKee TB, Doesken NJ, Kliest J (1993) The relationship of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology, Am Meteorol Soc, pp 179–184Google Scholar
  16. Min SK, Kwon WT, Park EH, Choi Y (2003) Spatial and temporal comparisons of droughts over Korea with East Asia. Int J Climatol 23(2):223–233CrossRefGoogle Scholar
  17. Mishra AM, Singh VP (2010) A review of drought concepts. J Hydrol (Amst) 391:202–216CrossRefGoogle Scholar
  18. Mohammad RK, Majid V, Amin A (2014) Drought monitoring using a soil wetness deficit index (SWDI) derived from MODIS satellite data. Agric Water Manag 132:37–45CrossRefGoogle Scholar
  19. Nalbantis Ι, Tsakiris G (2009) Assessment of hydrological drought revisited. Water Resour Manag 23(5):881–897CrossRefGoogle Scholar
  20. Ntale HK, Gan T (2003) Drought indices and their application to East Africa. Int J Climatol 23:1335–1357CrossRefGoogle Scholar
  21. Otkin JA, Anderson MC, Hain C, Svoboda M (2015) Using temporal changes in drought indices to generate probabilistic drought intensification forecasts. J Hydrometeorol 16:88–105CrossRefGoogle Scholar
  22. Palmer WC (1965) Meteorological drought, research paper no. 45. US Department of Commerce Weather Bureau, Washington DCGoogle Scholar
  23. Raja P, Singh N, Srinivas CV, Singhal M, Chauhan P, Singh M, Sinha NK (2018) Analyzing energy–water exchange dynamics in the Thar desert. Clim Dyn 50:3281–3300. CrossRefGoogle Scholar
  24. Raziei T, Sagfahian B, Paulo AA, Pereira LS, Bordi I (2009) Spatial patterns and temporal variability of drought in Western Iran. Water Resour Manag 23:439–455CrossRefGoogle Scholar
  25. Richard R, Heim JA (2002) Review of twentieth-century drought indices used in the United States. Am Meteorol Soc:1149–1166Google Scholar
  26. Sheffield J, Wood EF (2008) Projected changes in drought occurrence under future global warming from multi-model, multi-scenario, IPCC AR4 simulations. Clim Dyn 13:79–105CrossRefGoogle Scholar
  27. Sheffield J, Wood EF, Roderick ML (2012) Little change in global drought over the past 60 years. Nature 491:435–438CrossRefGoogle Scholar
  28. Smith A, Katz R (2013) U.S. billion-dollar weather and climate disasters: data sources, trends, accuracy and biases. Nat Hazards.
  29. Stagge JH, Kingston DG, Tallaksen LM, Hannah DM (2017) Observed drought indices show increasing divergence across Europe. Nat Sci Rep.
  30. Surendran U, Sushanth CM, Mammen G, Joseph EJ (2014) Modeling the impacts of increase in temperature on irrigation water requirements in Palakkad district – a case study in humid tropical Kerala. J Water Clim Change 5:471–487CrossRefGoogle Scholar
  31. Surendran U, Sandeep O, Joseph EJ (2016) The impacts of magnetic treatment of irrigation water on plant, water and soil characteristics. Agric Water Manag 178:21–29CrossRefGoogle Scholar
  32. Surendran U, Sushanth CM, Mammen G, Joseph EJ (2017a) FAO-CROPWAT model-based estimation of crop water need and appraisal of water resources for sustainable water resource management: pilot study for Kollam district – humid tropical region of Kerala, India. Curr Sci 112:76–86CrossRefGoogle Scholar
  33. Surendran U, Kumar V, Ramasubramoniam S, Raja P (2017b) Development of drought indices for semi-arid region using drought indices calculator (DrinC) – a case study from Madurai District, a semi-arid region in India. Water Resour Manag 31:3593–3605. CrossRefGoogle Scholar
  34. Tigkas D (2008) Drought characterization and monitoring in regions of Greece. Eur Water 23(24):29–39Google Scholar
  35. Tigkas D, Vangelis H, Tsakiris G (2013) The RDI as a composite climatic index. Eur Water 41:17–22Google Scholar
  36. Tigkas D, Vangelis H, Tsakiris G (2014) DrinC: a software for drought analysis based on drought indices. Earth Sci Inf.
  37. Trenberth KE, Fasullo JT, Shepherd TG (2015) Attribution of climate extreme events. Nat Clim Chang 5:725–730. CrossRefGoogle Scholar
  38. Tsakiris G, Vangelis H (2004) Towards a drought watch system based on spatial SPI. Water Resour Manag 18(1):1–12CrossRefGoogle Scholar
  39. Tsakiris G, Vangelis H (2005) Establishing a drought index incorporating evapotranspiration. Eur Water 9(10):3–11Google Scholar
  40. Tsakiris G, Pangalou D, Vangelis H (2007) Regional drought assessment based on the reconnaissance drought index (RDI). Water Resour Manag 21(5):821–833CrossRefGoogle Scholar
  41. Tsakiris G, Nalbantis I, Pangalou D, Tigkas D, Vangelis H (2008) Drought meteorological monitoring network design for the reconnaissance drought index (RDI). In: Franco Lopez A (ed) Proceedings of the 1st international conference “drought management: scientific and technological innovations”. Zaragoza, Spain: Option Méditerranéennes, Series A, No. 80(12):57–62Google Scholar
  42. Tsakiris G, Nalbantis I, Vangelis H, Verbeiren B, Huysmans M, Tychon B, Jacquemin I, Canters F, Vanderhaegen S, Engelen G, Poelmans L, De Becker P, Batelaan O (2013) A system-based paradigm of drought analysis for operational management. Water Resour Manag 27:5281–5297CrossRefGoogle Scholar
  43. Van Lanen HAJ, Wanders N, Tallaksen LM (2012) Hydrological drought across the world: impact of climate and physical catchment structure. Hydrol Earth Syst Sci Discuss 9:12145–12192CrossRefGoogle Scholar
  44. Vangelis H, Tigkas D, Tsakiris G (2013) The effect of PET method on reconnaissance drought index (RDI) calculation. J Arid Environ 88:130–140CrossRefGoogle Scholar
  45. Vasiliades L, Loukas A, Liberis N (2011) A water balance derived drought index for Pinios river basin, Greece. Water Resour Manag 25:1087–1101CrossRefGoogle Scholar
  46. Zarei AR (2018) Evaluation of drought condition in arid and semi- arid regions, using RDI index. Water Resour Manag 32(5):1689–1711. CrossRefGoogle Scholar
  47. Zarei AR, Moghimi MM, Mahmoudi MR (2016) Analysis of changes in spatial pattern of drought using RDI index in south of Iran. Water Resour Manag 30(11):3723–3743CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Centre for Water Resources Development and ManagementCalicutIndia
  2. 2.ICAR-Indian Institute of Soil and Water Conservation, Research CentreUdhagamandalamIndia
  3. 3.Agricultural College and Research InstituteTamil Nadu Agricultural UniversityMaduraiIndia
  4. 4.Regional Coffee Research stationCoffee BoardThandikudiIndia

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