Predicting the water use-demand as a climate change adaptation strategy for rice planting crops in the Long Xuyen Quadrangle Delta

  • Seung Kyu Lee
  • Truong An Dang


This work evaluates the impacts of climate change on water use-demand of three rice planting crops including winter–spring (WS), summer–autumn (SA) and autumn–winter crops for Long Xuyen Quadrangle Delta of Vietnam. Climatic variables scenarios were obtained from the updated report on emission scenarios which are issued by Vietnam’s Ministry of Natural Resources and Environment for three future timescales (2016–2035, 2046–2065 and 2080–2099) of representative concentration pathways (RCP) 4.5 and RCP8.5 scenarios. Cropwat model was selected to evaluate the irrigation water demand of three rice planting crops based on simulating actual evapotranspiration (ETc) and effective rainfall for the study area. The results showed that the WS and SA planting crops need more irrigation water demand in the growing and developmental stage for timescales of RCP4.5 and RCP8.5 scenarios. Results also pointed out that compared with current climate condition the tendency to decrease in irrigation water demand in the initial and developmental stages of autumn–winter planting crop with arranging from 2.9–12.9 to 10.0–18.2%, respectively, corresponding to timescales of RCP4.5 and RCP8.5 scenarios is found and a significant downward trend in the late stage approximately 5.8–20.0% and 13.6–20.7%, respectively, for RCP4.5 and RCP8.5 scenarios also recorded.


Crop Water scarcity Effective rainfall Irrigation Climate variability 


  1. Adnan AA, Jibrin JM, Kamara AY, Abdulrahman BL, Shaibu AS, Garba II (2017) CERES–Maize model for determining the optimum planting dates of early maturing maize varieties in Northern Nigeria. Front Plant Sci 8:1118. CrossRefGoogle Scholar
  2. Aggarwal PK, Singh AK (2010) Implications of global climatic change on water and food security. Water Resour Dev Manag 1:49–63CrossRefGoogle Scholar
  3. Archontoulis SV, Miguez FE, Moore KJ (2014) A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: application to soybean. Environ Model Softw 62:465–477CrossRefGoogle Scholar
  4. Arku AY, Musa SM, Mofoke ALE (2012) Determination of water requirements for irrigating Hibiscus (Rosa Sinensis) in Maiduguri Metropolis. J Appl Hyto Technol Environ Sanit 1(1):37–42Google Scholar
  5. 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
  6. Babel MS, Turyatunga E (2014) Evaluation of climate change impacts and adaptation measures for maize cultivation in the western Uganda agro-ecological zone. Theor Appl Climatol. Google Scholar
  7. Banik P, Tiwari NK, Ranjan S (2014) Comparative crop water assessment using meteorological data and modeling techniques. In: Global sustainability transitions: impacts and innovations. pp 168–180Google Scholar
  8. Bhat NR, Lekha VS, Suleiman MK, Ali SI, George P, AlMulla L (2012) Estimation of water requirements for young date palms under arid climatic conditions of Kuwait. World J Agric Sci 8(5):448–452Google Scholar
  9. Bouraima AK, Zhang WH, Wei CF (2015) Irrigation water requirements of rice using Cropwat model in Northern Benin. Int J Agric Biol Eng 8(2):58–64Google Scholar
  10. Chatterjee SK, Banerjee S, Bose MM. (2012) Climate change impact on crop water requirement in ganga river basin, West Bengal, India. In: 2012 3rd international conference on biology, environment and chemistry, vol 46, p 4.
  11. Cheng ZQ, Meng JH, Qiao YY, Wang YM, Dong WQ, Han YX (2018). Preliminary study of soil available nutrient simulation using a modified WOFOST model and time-series remote sensing observations. Remote Sens. 2018, 10, 64;
  12. Deb P, Kiem AS, Babel MS, Chu ST, Chakma B (2015) Evaluation of climate change impacts and adaptation strategies for maize cultivation in the Himalayan foothills of India. J Water Clim Change. Google Scholar
  13. Deb P, Tran DA, Udmale PD (2016) Assessment of the impacts of climate change and brackish irrigation water on rice productivity and evaluation of adaptation measures in Ca Mau province, Vietnam. Theor Appl Climatol 125(3–4):641–656CrossRefGoogle Scholar
  14. 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
  15. Food and Agriculture Organization (FAO) (1998) Crop evapotranspiration: Guidelines for computing crop water requirements. FAO irrigation and drainage paper 56. Rome, ItalyGoogle Scholar
  16. 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 Report, p 75Google Scholar
  17. Kawasaki J, Herath S (2011) Impact assessment of climate change on rice production in Khon Kaen province, Thailand. J Int Soc Southeast Asian Agric Sci 2:14–28Google Scholar
  18. Khoshravesh M, Mostafazadeh-Fard B, Heidarpour M, Kiani AR (2013) AquaCrop model simulation under different irrigation water and nitrogen strategies. Water Sci Technol 67(1):232–238CrossRefGoogle Scholar
  19. Kim HY, Ko J, Kang S, Tenhunen J (2013) Impacts of climate change on paddy rice yield in a temperate climate. Glob Change Biol 19:548–562CrossRefGoogle Scholar
  20. Lee TS, Najim MM, Aminul MH (2004) Estimating evapotranspiration of irrigated rice at the west coast of the peninsular of Malaysia. J Appl Irrig Sci 39(1):103–117Google Scholar
  21. Mainuddin M, Kirby M, Hoanh CT (2013) Impact of climate change on rainfed rice and options for adaptation in the lower Mekong Basin. Nat Hazards 66(2):905–938CrossRefGoogle Scholar
  22. 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
  23. Nazeer M (2009) Simulation of maize crop under irrigated and rainfed conditions with Cropwat model. ARPN J Agric Biol Sci 4(2):68–73Google Scholar
  24. Oyeogbe IA, Oluwasemire KO (2013) Evaluation of SO model for predicting soil water characteristics in south-western Nigeria. Int J Soil Sci 8(2):8–67CrossRefGoogle Scholar
  25. Poudel S, Shaw R (2016) The relationships between climate variability and crop yield in a mountainous environment—a case study in Lamjung District-Nepal. Climate 4:13CrossRefGoogle Scholar
  26. Research Centers in Southeast Asia (RCSA) (2016) The drought and salinity intrusion in the Mekong River Delta of Vietnam. Assessment Report, p 55Google Scholar
  27. Shah PV, Mistry RN, Amin JB, Parmar AM, Shaikh RA (2015) Irrigation scheduling using Cropwat. Int J Adv Res Eng Sci Technol 2(4):1–10Google Scholar
  28. Shrestha S, Thin NMM, Deb P (2014) Assessment of climate change impacts on irrigation water requirement and rice yield for Ngamoeyeik irrigation project in Myanmar. J Water Clim Change 5(3):427–442CrossRefGoogle Scholar
  29. Shrestha S, Deb P, Bui TTT (2016) Adaptation strategies for rice cultivation under climate change in Central Vietnam. Mitig Adapt Strat Glob Change 21(1):15–37CrossRefGoogle Scholar
  30. Silvestro PC, Pignatti S, Yang H, Yang G, Pascucci S, Castaldi F, Casa R (2017) Sensitivity analysis of the Aquacrop and SAFYE crop models for the assessment of water limited winter wheat yield in regional scale applications. PLoS ONE 12(11):e0187485. CrossRefGoogle Scholar
  31. Trinh LT, Duong CC, Steen PVD, Lens PNL (2013) Exploring the potential for wastewater reuse in agriculture as a climate change adaptation measure for Can Tho city, Vietnam. Agric Water Manag 128:43–54CrossRefGoogle Scholar
  32. Umair M, Shen Y, Qi Y, Zhang Y, Ahmad A, Pei H, Liu M (2017) Evaluation of the CropSyst model during wheat-maize rotations on the North China Plain for identifying soil evaporation losses. Front Plant Sci 8:1667. CrossRefGoogle Scholar
  33. 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 10:1. Google Scholar
  34. Wassmann R, Jagadish SVK, Sumfleth K, Pathak H, Howell G, Ismail A, Serraj R, Redona E, Singh RK, Heuer S (2009) Chapter 3 regional vulnerability of climate change impacts on Asian rice production and scope for adaptation. Adv Agron 102:91–133CrossRefGoogle Scholar
  35. Yadav S, Deb P, Kumar S, Pandey V, Pandey PK (2016) Trends in major and minor meteorological variables and their influence on reference evapotranspiration for mid Himalayan region at East Sikkim, India. J Mt Sci 13(2):302–315CrossRefGoogle Scholar
  36. Yue Y, Li J, Ye X, Wang ZQ, Zhu AX, Wang JA (2015) An EPIC model-based vulnerability assessment of wheat subject to drought. Nat Hazards 78(3):1629–1652CrossRefGoogle Scholar

Copyright information

© The International Society of Paddy and Water Environment Engineering 2019

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.University of Science, VNU-HCMHo Chi Minh CityVietnam

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