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Assessing recent impacts of climate change on design water requirement of Boro rice season in Bangladesh

  • ARM Towfiqul IslamEmail author
  • Shuanghe Shen
  • Shenbin Yang
  • Zhenghua Hu
  • Ronghao Chu
Original Paper

Abstract

Water requirement is sensitive to the impacts of climate change, especially in Bangladesh because of limited freshwater availability in the dry season, despite the fact that the country’s agriculture sector requires large quantities of water for the crop production. Hence, gaining a better understanding of changes in water requirements in Bangladesh during dry periods is important in the management of agricultural water resources. This study assesses the recent impacts of climate change on the design water requirement (DWR) of the Boro rice–growing season in Bangladesh using a frequency analysis over a 5-year period. The reference evapotranspiration (ETref), crop evapotranspiration (ETp), effective rainfall (ERF), and gross irrigation water requirements (GIWR) of Boro rice were estimated based on daily weather data for the period of 1984–2013 using the CROPWAT8.0 model. The results showed the significant decreasing trends of ETref in most of these Boro rice growth stages in all districts. The GIWR of Boro rice and its trends demonstrated significant spatial heterogeneity in the last three decades due to significant changes in the ERF and ETp. The DWR of Boro rice–growing season also supported the results of the GIWR, and the Weibull probability distribution function (PDF) is found to be an optimal PDF among eight PDFs for the estimation of DWR. Overall, the results indicate that a recent climate change does not only contribute to high water demands for the crop but also result in decrease water requirements due to variations in wind speed, sunshine hours, and relative humidity.

Notes

Acknowledgments

We acknowledge the Chinese Govt. Scholarship (CSC) and the Nanjing University of Information Science and Technology for other sorts of supports during the study. The authors would like to greatly acknowledge the Bangladesh Meteorological Department (BMD) for providing the necessary datasets during this study period.

Funding information

This study was supported by the China special fund for meteorological research in the public interest (Major project: GYHY201506001-6).

Supplementary material

704_2019_2818_MOESM1_ESM.docx (298 kb)
ESM 1 (DOCX 297 kb)

References

  1. Acharjee TK, Halsema G, Ludwig F, Hellegers P (2017) Declining trends of water requirements of dry season Boro rice in the north-west Bangladesh, Agric. Water Manage 180:148–159CrossRefGoogle Scholar
  2. Agrawala S, Ota T, Ahmed AU, Smith J, Van Aalst M (2003) Development and climate change in Bangladesh: focus on coastal flooding and the Sundarbans. OECOD, FranceGoogle Scholar
  3. Ali MH, Abustan I, Rahman MA, Haque AAM (2012) Sustainability of groundwater resources in North-Eastern region of Bangladesh. Water Resour Manag 26:623–641.  https://doi.org/10.1007/s11269-011-9936-5 CrossRefGoogle Scholar
  4. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop requirements. FAO Irrigation and Drainage. Paper No. 56. Food and Agriculture Organization of the United Nations, Rome, ItalyGoogle Scholar
  5. Baker J, Allen L Jr (1993) Effects of CO2 and temperature on rice. J Agric Meteorol 48:575–582CrossRefGoogle Scholar
  6. Bandyopadhayay A, Bhadra A, Raghuwanshi NS, Singh R (2009) Temporal trends in estimates of reference evapotranspiration over India. J Hydrol Eng 14(5):508–518CrossRefGoogle Scholar
  7. Bangladesh Agricultural Development Corporation (BADC) (2010) Minor irrigation survey report 2009–2010. BADC, Ministry of Agriculture, DhakaGoogle Scholar
  8. Bangladesh Bureau of Statistics (BBS) (2013) Yearbook of agricultural statistics of Bangladesh, 2012. Bangladesh Bureau of Statistics, DhakaGoogle Scholar
  9. Bangladesh Rice Research Institute (BRRI), (1990) Annual Internal Review Report for 1987. Irrigation and Water management Div., Bangladesh Rice Res. Inst., Joydevpur, Gazipur. pp. 234–235Google Scholar
  10. Buishand TA (1982) Some methods for testing the homogeneity of rainfall records. J Hydrol 58(1):11–27CrossRefGoogle Scholar
  11. Chow VT (1951) A general formula for hydrologic frequency analysis. Trans Am Geophys Union 32:231–237CrossRefGoogle Scholar
  12. Darshana PA, Pandey RP (2013) Analysing trends in reference evapotranspiration and weather variables in the Tons River Basin in Central India. Stoch Env Res Risk A 27:1407–1421CrossRefGoogle Scholar
  13. Estévez J, Gavilán P, Giráldez JV (2011) Guidelines on validation procedures for meteorological data from automatic weather stations. J Hydrol 402:144–154CrossRefGoogle Scholar
  14. Federal Emergency Management Agency (FEMA) (2005) Coastal flood hazard analyses and mapping. http://www.fema.gov(national-flood-insurance-program-flood-hazard-mapping/fema-coastal-flood-hazard-analyses-mapping). Accessed 15 Dec 2015
  15. Fischer G, Tubiello FN, Van Velthuizen H, Wiberg DA (2007) Climate change impacts on irrigation water requirements: effects of mitigation, 1990–2080. Technol Forecast Soc Chang 74:1083–1107CrossRefGoogle Scholar
  16. Firat M, Dikabas F, Koc AC, Gungor M (2010) Missing data analysis and homogeneity test for Turkish precipitation series. Indian Acad Sci 35(6):707–720Google Scholar
  17. Fu GB, Charles SP, Yu JJ, Liu CM (2009) Decadal climatic variability, trends and future scenarios for the North China Plain. J Clim 22:2111–2123CrossRefGoogle Scholar
  18. Haque MA, Najim MMM, Lee TS (2004) Modeling irrigation water delivery schedule for rice cultivation in east coast Malaysia. Trop Agric Res 16:204–213Google Scholar
  19. Hosking JRM, Wallis JR (1997) Regional frequency analysis: an approach based on L–moments, Cambridge University PressGoogle Scholar
  20. IPCC (2007) Climate change 2007: impacts, adaptation and vulnerability. In: Parry, M.L., Canziani, O.F., Palutikof, J.P. (Eds.), Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, CambridgeGoogle Scholar
  21. IPCC (2014) Climate change 2014: impacts, adaptation, and vulnerability. In: Field C et al (eds) Part a: global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
  22. Islam ARMT, Shen S, Yang S (2018) Predicting design water requirement of winter paddy under climate change condition using frequency analysis in Bangladesh. Agric Water Manag 195:58–70.  https://doi.org/10.1016/j.agwat.2017.10.003037
  23. Islam ARMT, Shen S, Hu Z, Rahman MA (2017) Drought hazard evaluation in Boro paddy cultivated areas of western Bangladesh at current and future climate change conditions, advances in meteorology. Adv Meteorol 2017(Article ID 3514381):12.  https://doi.org/10.1155/2017/3514381 Google Scholar
  24. Islam ARMT, Tasnuva A, Sarker SC, Rahman MM, Mondal MSH, Islam MM (2014) Drought in northern Bangladesh: social, agroecological impact and local perception. Inter J Ecosyst 4(3):150–158.  https://doi.org/10.5923/j.ije.20140403.07 Google Scholar
  25. Jang MW, Choi JY, Lee JJ (2007) A spatial reasoning approach to estimating paddy rice water demand in Hwanghaenam-do, North Korea. Agric Water Manag 89:185–198CrossRefGoogle Scholar
  26. Khan MI (2011)The impact of climate change on the optimal planning of water application in Bangladesh agriculture over time. Published MS thesis, School of Economics, La Trobe University, Australia, pp. 10Google Scholar
  27. Khan TA (1992) Irrigation/water management for sustainable agricultural development in Bangladesh. In Irrigation/water management for sustainable agricultural development. Report of the Expert Consultation of the Asian Network on Irrigation/Water Management, 25–28 August 1992, Bangkok, Thailand. RAPA Publication 1994/24. 53–78pGoogle Scholar
  28. Kim JS, Oh SY, Oh KY, Cho JW (2005) Delivery management water requirement for irrigation ditches associated with large-sized paddy plots in Korea. Paddy Water Environ 3:57–62CrossRefGoogle Scholar
  29. Kite GW (1988) Frequency and risk analysis in hydrology. Water Resources Publication, Littleton, CO.Google Scholar
  30. Li M, Chu R, Shen S, Islam ARMT (2018) Dynamic analysis of pan evaporation variations in the Huai River Basin, a climate transition zone in eastern China. Sci Total Environ 625:496–509.  https://doi.org/10.1016/j.scitotenv.2017.12.317 CrossRefGoogle Scholar
  31. Liu ZF, Yao ZJ, Yu CQ, Zhong ZM (2013) Assessing crop water demand and deficit for the growth of spring highland barley in Tibet, China. J Integrative Agri 12(3):541–551CrossRefGoogle Scholar
  32. Mainuddin M, Kirby M, Chowdhury RAR, Shah-Newaz SM (2015) Spatial and temporal variations of, and the impact of climate change on, the dry season crop irrigation requirements in Bangladesh, Irrig. Science 33:107–120.  https://doi.org/10.1007/s00271-014-0451-3 Google Scholar
  33. Meharg A, Rahman MM (2003) Arsenic contamination of Bangladesh paddy field soils: implications for rice contribution to arsenic consumption. Environ Sci Technol 37(2):229–234.  https://doi.org/10.1021/es0259842 CrossRefGoogle Scholar
  34. Mojid M, Rannu R, Karim N (2015) Climate change impacts on reference crop evapotranspiration in North–West hydrological region of Bangladesh. Int J Climatol 35:4041–4046CrossRefGoogle Scholar
  35. Pettitt AN (1979) A non-parametric approach to the change-point problem. Appl Stat 28(2):126–135.  https://doi.org/10.2307/2346729 CrossRefGoogle Scholar
  36. Rao AR, Hamed KH (2000) Flood frequency analysis. CRC Publications, New YorkGoogle Scholar
  37. Ruane AC, Major DC, Yu WH, Alam M et al (2013) Multi-factor impact analysis of agricultural production in Bangladesh with climate change. Global Env Change 23:338–350CrossRefGoogle Scholar
  38. Schlenker W, Hanemann WM, Fisher AC (2007) Water availability, degree days, and the potential impact of climate change on irrigated agriculture in California. Clim Chang 81:19–38CrossRefGoogle Scholar
  39. Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63:1379–1389CrossRefGoogle Scholar
  40. Shahid S (2010) Rainfall variability and the trends of wet and dry periods in Bangladesh. Int J Climatol 30:2299–2313.  https://doi.org/10.1002/joc.2053 CrossRefGoogle Scholar
  41. Shahid S (2011) Impact of climate change on irrigation water demand of dry season Boro rice in northwest Bangladesh. Clim Chang 105:433–533CrossRefGoogle Scholar
  42. Shahid S, Hazarika MK (2010) Groundwater drought in the northwestern districts of Bangladesh. Water Res Manage 24:1989–2006CrossRefGoogle Scholar
  43. Shahid S, Wang XJ, Rahman MM, Hasan R, Harun SB, Shamsudin S (2015) Spatial assessment of groundwater over-exploitation in northwestern districts of Bangladesh. J Geol Soc India 85:463–470CrossRefGoogle Scholar
  44. Smith M(1992) CROPWAT, A computer program for irrigation planning and management, FAO irrigation and drainage paper 46, FAO, RomeGoogle Scholar
  45. SRDI (2010) Soil Research Development Institute. Reconnaissance soil survey reports. Department of soil survey (Now SRDI), Dhaka, Bangladesh, p 33Google Scholar
  46. Tabari H, Aeini A, Hosseinzadeh TP, Some’e BS (2012) Spatial distribution and temporal variation of reference evapotranspiration in arid and semi-arid regions of Iran. Hydrol Process 26(4):500–512CrossRefGoogle Scholar
  47. Tans P, Keeling R (2016) Earth System Research Laboratory. National Oceanic and Atmospheric Administration www.esrl.noaa.gov/gmd/ccgg/trends/. Accessed 12 Dec 2016
  48. Woznicki SA, Nejadhashemi AP, Parsinejad M (2015) Climate change and irrigation demand: uncertainty and adaptation. J Hydrol: Reg Stud 3:247–264Google Scholar
  49. Xu Y, Xu Y, Wang Y, Wu L, Li G, Song S (2016) Spatial and temporal trends of reference crop evapotranspiration and its influential variables in Yangtze River Delta, eastern China. Theor Appl Climatol 1–14Google Scholar
  50. Xu CY, Gong LB, Jiang T, Chen DL, Singh VP (2006) Analysis of spatial distribution and temporal trend of reference evapotranspiration and pan evaporation in Changjiang (Yangtz River) catchment. J Hydrol 327(1–2):81–93CrossRefGoogle Scholar
  51. Yoo SH, Choi JY, Jang MW (2008) Estimation of design water requirement using FAO Penman–Monteith and optimal probability distribution function in South Korea. Agric Water Manag 95:845–853CrossRefGoogle Scholar
  52. Yue S, Pilon P, Cavadias G (2002) Power of the Mann–Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. J Hydrol 259:254–271CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjingChina
  2. 2.Department of Disaster managementBegum Rokeya UniversityRangpurBangladesh
  3. 3.School of Applied MeteorologyNanjing University of Information Science & TechnologyNanjingChina

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