Paddy and Water Environment

, Volume 17, Issue 1, pp 35–44 | Cite as

Spatio-temporal variations in meteorology drought over the Mekong River Delta of Vietnam in the recent decades

  • Seung Kyu Lee
  • Truong An DangEmail author


In recent years, Mekong Delta of Vietnam is severely affected by salinity intrusion and water scarcity due to climate variability. In this study, a comprehensive analysis of meteorology drought was conducted to detect drought events using the Standardized Precipitation Index at 3-, 6-, 9- and 12-month time scale based on monthly precipitation data from 46 precipitation gauge stations for a period of 1984–2015. The aim of the study is to assess the degree of meteorology drought from 1984 to 2015 in potential crop growing areas to provide early warnings and monitor drought events to minimize their negative effects. The results indicated that meteorological drought occurred at the central provinces of the study area in the period 1985–1994, the northeastern and northwestern provinces in the period 1995–2004 and 10 recent years (2005–2014) meteorological drought shifted toward southern coastal provinces. The analyzed results also showed a tendency to decrease in frequency of drought is recorded while a tendency to increase in the spatial distribution of drought with moderate and severe droughts is recorded. Among the major droughts, 1990–1992 was evaluated the most extreme drought with 85% of the study area covered by the extreme drought with peak value of − 2.63 recorded and lasting for 29 months.


Climate variability Drought Salt intrusion Water scarcity SPI 


  1. Asadi ZMA, Sivakumar B, Sharma A (2015) Droughts in a warming climate: a global assessment of SPI and RDI. J Hydrol 526:183–195CrossRefGoogle Scholar
  2. Asia-Pacific Network (APN) (2010) Climate change in Southeast Asia and assessment on impact, vulnerability and adaptation on rice production and water resource. Project Reference Number: CRP2008-03CMY-JintrawetGoogle Scholar
  3. Barua S, Perera BJC, Ng AWM (2009) A comparative drought assessment of Yarra River Catchment in Victoria, Australia. In: Interfacing modelling and simulation with mathematical and computational sciences: 18th IMACS World Congress, MODSIM09, Cairns, Australia 13-17 July 2009: proceedingsGoogle Scholar
  4. Bateni MM, Behmanesh J, Michele CD, Bazrafshan J, Rezaie H (2018) Composite agrometeorological drought index accounting for seasonality and autocorrelation. J Hydrol Eng ASCE. (in press)
  5. 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. Google Scholar
  6. Bazrafshan J, Hejabi S, Rahimi J (2014) Drought monitoring using the Multivariate Standardized Precipitation Index (MSPI). J Water Resour Manag 28:1045. CrossRefGoogle Scholar
  7. Dan NH, Thoi NK, Dung BTN (2015) Evaluation of paddy land use in the Mekong River Delta. J Sci Dev 13(8):1435–1441Google Scholar
  8. Dinh Q, Balica S, Popescu I, Jonoski A (2012) Climate change impact on flood hazard, vulnerability and risk of the Long Xuyen Quadrangle in the Mekong Delta. Int J River Basin Manag 10(1):103–120CrossRefGoogle Scholar
  9. Food and Agriculture Organization (FAO) (2016) El Niño event in Viet Nam: agriculture, food security and livelihood need assessment in response to drought and salt water intrusion. Assessment ReportGoogle Scholar
  10. Halwatura D, McIntyre N, Lechner AM, Arnold S (2016) Reliability of meteorological drought indices for predicting soil moisture droughts. Hydrol Earth Syst Sci Discuss. Google Scholar
  11. Hao ZC, Hao FH, Vijay PS, Xia YL, Wei OY, Shend XY (2016) A theoretical drought classification method for the multivariate drought index based on distribution properties of standardized drought indices. Adv Water Resour 92:240–247CrossRefGoogle Scholar
  12. Hayes M, Svoboda M, Wall N, Widhalm M (2011) The Lincoln declaration on drought indices: universal meteorological drought index recommended. Bull Am Meteorol Soc 92:485–488CrossRefGoogle Scholar
  13. Intergovernmental Panel on Climate Change (IPCC) (2007) Contribution of working groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate, Geneva, SwitzerlandGoogle Scholar
  14. Jamshidi H, Khalili D, Zadeh MR, Hosseinipour EZ (2011) Assessment and comparison of SPI and RDI meteorological drought indices in selected synoptic stations of Iran. In: World environmental and water resources congress, pp 1161–1173Google Scholar
  15. Jang SH, Lee JK, Oh JH, Jo JW, Cho YH (2017) The probabilistic drought forecast based on the ensemble technique using the Korean surface water supply index. Nat Hazards Earth Syst Sci Discuss. Google Scholar
  16. Juliani BHT, Okawa CMP (2017) Application of a Standardized Precipitation Index for meteorological drought analysis of the semi-arid climate influence in Minas Gerais, Brazil. Hydrology 4:26. CrossRefGoogle Scholar
  17. Khedun CP, Chowdhary H, Mishra AK, Giardino JR, Singh VP (2012) Water deficit duration and severity analysis based on runoff derived from Noah Land Surface Model. J Hydrol Eng 18(7):817–833CrossRefGoogle Scholar
  18. Kumar KN, Rajeevan M, Pai DS, Srivastava AK, Preethi B (2013) On the observed variability of monsoon droughts over India. Weather Clim Extremes. Google Scholar
  19. Kwak JW, Kim SJ, Jung JW, Singh VP, Lee DR, Kim HS (2016) Assessment of meteorological drought in Korea under climate change. Adv Meteorol. Google Scholar
  20. Liang E, Shao X, Liu H, Eckstein D (2007) Tree-ring based PDSI reconstruction since AD 1842 in the Ortindag Sand Land, east Inner Mongolia. Chin Sci Bull 52(19):2715–2721CrossRefGoogle Scholar
  21. Mallyaa G, Mishra V, Niyogi D, Tripathi S, Govindarajua RS (2016) Trends and variability of droughts over the Indian monsoon region. Weather Clim Extremes 12:43–68CrossRefGoogle Scholar
  22. McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: Proceedings of the eight conferences on applied climatology, Anaheim, CA, USA, American Meteorological Society, Boston, MA, pp 179–184Google Scholar
  23. Mekong Delta Plan (MDP) (2013) Long-term vision and strategy for a safe, prosperous and sustainable delta, Royal Haskoning DHV. Wageningen University, Deltares, RebelGoogle Scholar
  24. Ministry of Natural Resources and Environment (MNRE) (2016) Climate change scenarios and sea level rise for Vietnam. Publishers resources, environment and map of VietnamGoogle Scholar
  25. Miyan MA (2015) Droughts in Asian least developed countries; vulnerability and sustainability. Weather Clim Extremes 7:8–23CrossRefGoogle Scholar
  26. Rahmat SN (2015) Methodology for development of drought severity–duration–frequency (SDF) curves. PhD thesis, School of Civil, Environmental and Chemical Engineering, RMIT University, Melbourne, AustraliaGoogle Scholar
  27. Rahmat SN, Jayasuriya N, Bhuiyan M (2015) Assessing droughts using meteorological drought indices in Victoria, Australia. Hydrol Res. Google Scholar
  28. Research Centers in Southeast Asia (RCSA) (2016) The drought and salinity intrusion in the Mekong River Delta of Vietnam. Assessment ReportGoogle Scholar
  29. Rivera JA, Penalba OC (2014) Trends and spatial patterns of drought affected area in southern South America. Climate 2:264–278. CrossRefGoogle Scholar
  30. Shafer BA, Dezman LE (1982) Development of surface water supply index-A drought severity indicator for Colorado. In: Proceeding of western snow conference, pp 164–175Google Scholar
  31. Shukla S, Wood AW (2008) Use of a standardized runoff index for characterizing hydrologic drought. Geophys Res Lett. Google Scholar
  32. Suryabhagavan KV (2016) GIS-based climate variability and drought characterization in Ethiopia over three decades. Weather Clim Extremes. Google Scholar
  33. Svoboda M, Hayes M, Wood D (2012) Standardized Precipitation Index-User Guide. World Meteorological Organization (WMO), GenevaGoogle Scholar
  34. Teodoro PE, Guedes CCC, Torres FE, Oliveira JJF, Silva JCA, Gois G, Coll DR (2015) Analysis of the occurrence of wet and drought periods using standardized. J Agron 14:80–86CrossRefGoogle Scholar
  35. Vo TD, Huynh VK (2014) Using a risk cost-benefit analysis for a sea dike to adapt to the sea level in the Vietnamese Mekong River Delta. Climate. Google Scholar
  36. Vu DT, Yamada T, Ishidaira H (2018) Assessing the impact of sea level rise due to climate change on seawater intrusion in Mekong Delta, Vietnam. Water Sci Technol. Google Scholar
  37. Wu H, Svoboda MD, Hayes MJ, Wilhite DA, Wen FJ (2007) Appropriate application of the Standardized Precipitation Index in arid locations and dry seasons. Int J Climatol 27:65–79CrossRefGoogle Scholar
  38. Yan H, Wang SQ, Wang JB, Lu HQ, Guo AH, Zhu ZC, Myneni RB, Shugart HH (2016) Assessing spatiotemporal variation of drought in China and its impact on agriculture during 1982–2011 by using PDSI indices and agriculture drought survey data. J Geophys Res Atmos 121:2283–2298CrossRefGoogle Scholar
  39. Yu XY, Zhao GX, Zhao WJ, Yan TT, Yuan XJ (2017) Analysis of precipitation and drought data in Hexi Corridor, Northwest China. Hydrology. Google Scholar

Copyright information

© The International Society of Paddy and Water Environment Engineering 2018

Authors and Affiliations

  1. 1.Sustainable Management of Natural Resources and Environment Research Group, Faculty of Environment and Labour SafetyTon Duc Thang UniversityHo Chi Minh CityVietnam
  2. 2.VNU-HCM-University of ScienceHo Chi Minh CityVietnam

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