Skip to main content

Advertisement

Log in

Water Footprint of Grain Product in Irrigated Farmland of China

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

China faces the dual challenge of grain production pressure and water scarcity. It is significant to reduce water footprint of grain product (WFGP, m3/t) in irrigated farmland. The focus of grain production and agricultural water use, and the precondition is to determine the WFGP and its composition. This paper estimates the WFGP in irrigated farmland of 31 provinces (including municipalities, autonomous regions) a by collecting actual data of 443 typical irrigation districts in 1998, 2005 and 2010, and analyses its temporal and spatial variation in irrigated farmland of China. The result shows that the WFGP in each province decreases with time except in Jiangxi and Hunan, and the average value of all provinces reduced from 1494 m3/t in 1998 to 1243 m3/t in 2010. The WFGP decreases faster in more developed municipal cities and major grain production provinces. The annual average WFGP in irrigated farmland is 1339 m3/t and the blue and green water account for 63.5 % and 36.5 % of the total, respectively. The WFGP and its composition are significantly different between provinces. Generally, provinces distributed inside and beyond Huang-Huai-Hai Plain, have a higher water productivity, lower WFGP and blue water footprint of grain product, while most provinces located in northwest, northeast, southeast and south China have a higher WFGP and lower proportion of green water in the WFGP as a whole. Portion of the blue water footprint (BWFGP) is not consumed for crop evapotranspiration (BWFGP ET ) but conveyance loss (BWFGP cl ). The national averaged BWFGP cl decreases with time and but still remains up to 466 m3/t in 2010, making up 34.8 % of the WFGP. In order to safeguard grain security and ease the water resource pressure, the Chinese government should increase investment and apply advanced technology for developing water-saving agriculture, improve the efficiency of water use and further reduce the WFGP. Considering also the contribution of grain output and the relatively high WFGP, the government should give priority to developing water-saving agriculture in the Northeast of China.

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
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration—guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, FAO, Rome

  • Bulsink F, Hoekstra AY, Booij MJ (2010) The water footprint of Indonesian provinces related to the consumption of crop products. Hydrol Earth Syst Sci 14(1):119–128

    Article  Google Scholar 

  • Chapagain AK, Hoekstra AY (2007) The water footprint of coffee and tea consumption in the Netherlands. Ecol Econ 64:109–118

    Article  Google Scholar 

  • Chapagain AK, Hoekstra AY (2011) The blue, green and grey water footprint of rice from production and consumption perspectives. Ecol Econ 70(4):749–758

    Article  Google Scholar 

  • Chapagain AK, Orr S (2009) An improved water footprint methodology linking global consumption to local water resources: a case of Spanish tomatoes. J Environ Manag 90:1219–1228

    Article  Google Scholar 

  • Chapagain AK, Hoekstra AY, Savenije HHG (2006) Water saving through international trade of agricultural products. Hydrol Earth Syst Sci 10:455–468

    Article  Google Scholar 

  • Chen YM, Guo GS, Wang GX, Kang SZ, Luo HB, Zhang DZ (1995) Main crop water requirement and irrigation of China. Hydraulic Publisher Beijing PRC

  • Chen C, Wang EL, Yu QA (2010) Modelling the effects of climate variability and water management on crop water productivity and water balance in the North China Plain. Agric Water Manag 97(8):1175–1184

    Article  Google Scholar 

  • Duan AW, Sun JS, Liu Y, Xiao JF, Liu QC, Qi XB (2004) The irrigating water quota for main crops in north of China. China’s agricultural science and technology press Beijing PRC

  • Fader M, Gerten D, Thammer M, Heinke J, Lotze-Campen H, Lucht W, Cramer W (2011) Internal and external green-blue agricultural water footprints of nations, and related water and land savings through trade. Hydrol Earth Syst Sci 15(5):1641–1660

    Article  Google Scholar 

  • Fang SF, Pei H, Liu ZH, Beven K, Wei ZC (2010) Water resources assessment and regional virtual water potential in the Turpan Basin, China. Water Resour Manag 24:3321–3332

    Article  Google Scholar 

  • FAO (2010a) CROPWAT Model. [Online] Food and Agriculture Organization, Rome ‘CROPWAT 8.0 model’. Available: www.fao.org/nr/water/infores_databases_cropwat.html

  • FAO (2010b) AQUACROP Model. [Online] Food and Agriculture Organization, Rome ‘AQUACROP 3.1’. Available: www.fao.org/nr/water/aquacrop.html

  • Ge LQ, Xie GD, Li SM, Zhang CX, Chen LX (2010) A study on production water footprint of winter-wheat and maize in the North China Plain. Resour Sci 32(11):2066–2071 [in Chinese]

    Google Scholar 

  • Ge LQ, Xie GD, Zhang CX, Li SM, Qi Y, Cao SY, He TT (2011) An evaluation of China’s water footprint. Water Resour Manag 25:2633–2647

    Article  Google Scholar 

  • He H, Huang J, Huai HJ, Tong WJ (2010) The water footprint and its temporal change characteristics of rice in Hunan. Chin Agric Sci Bull 26(14):294–298 [in Chinese]

    Google Scholar 

  • Hoekstra AY (2003) Virtual water trade: Proceedings of the international expert meeting on virtual water trade. Value of Water Research Report Series No.12, UNESCO-IHE, Delft, The Netherlands. http://www.waterfootprint.org/Reports/Report12.pdf

  • Hoekstra AY, Chapagain AK (2007) Water footprints of nations: water use by people as a function of their consumption pattern. Water Resour Manag 21(1):35–48

    Article  Google Scholar 

  • Hoekstra AY, Chapagain AK, Aldaya MM, Mekonnen MM (2011) The water footprint assessment manual: Setting the global standard. Earthscan, London, UK

    Google Scholar 

  • Hu YK, Moiwo JP, Yang YH, Han SM, Yang YM (2010) Agricultural water-saving and sustainable groundwater management in Shijiazhuang Irrigation District, North China Plain. J Hydrol 393(3–4):219–232

    Article  Google Scholar 

  • Keller A, Keller J (1995) Effective efficiency: a water use concept for allocating freshwater resources. Water Resources and Irrigation Division Discussion Paper No. 22. Arlington, USA, Winrock International

  • Li BG, Huang F (2010) Trends in China s agricultural water use during recent decade using the green and blue water approach. Adv Water Sci 21(4):575–583

    Google Scholar 

  • Li ZH, Zhang J, Cheng HB, Zhang LL, Kang Q, Feng Y (2012) Water pollution situation and impacts in rural China. Agric Sci Tech 13(5):1055–1059, 1109

    Google Scholar 

  • Liu J (2009) A GIS-based tool for modelling large-scale crop-water relations. Environ Model Softw 24(3):411–422

    Article  Google Scholar 

  • Liu J, Savenije HHG (2008) Food consumption patterns and their effect on water requirement in China. Hydrol Earth Syst Sci 12:887–898

    Article  Google Scholar 

  • Liu J, Williams JR, Zehnder AJB, Yang H (2007) GEPIC-modelling wheat yield and crop water productivity with high resolution on a global scale. Agric Syst 94(2):478–493

    Article  Google Scholar 

  • Long AH, Xu ZM, Zhang ZQ, Su ZY (2005) Primary estimation of water footprint of Gansu Province in 2000. Resour Sci 27(3):123–129 [in Chinese]

    Google Scholar 

  • Ma T, Chen JK (2006) The role of virtual water trade in efforts to resolve China and global water crisis. Ecol Econ 11:22–26 [in Chinese]

    Google Scholar 

  • Mekonnen MM, Hoekstra AY (2010) A global and high-resolution assessment of the green, blue and grey water footprint of wheat. Hydrol Earth Syst Sci 14(7):1259–1276

    Article  Google Scholar 

  • Mekonnen MM, Hoekstra AY (2011) The green, blue and gray water footprint of crops and derived crop products. Hydrol Earth Syst Sci 15:1577–1600

    Google Scholar 

  • Mekonnen MM, Hoekstra AY, Becht R (2012) Mitigating the water footprint of export cut flowers from the Lake Naivasha Basin, Kenya. Water Resour Manag 26:3725–3742

    Article  Google Scholar 

  • Montesinos P, Camacho E, Campos B (2011) Analysis of virtual irrigation water. Application to water resources management in a Mediterranean River Basin. Water Resour Manag 25(6):2635–2651

    Article  Google Scholar 

  • MWR-Ministry of Water Resource People’s Republic of China (PRC) (2011) China Water Resources Bulletin 2010. Water Power Press, Beijing People’s Republic of China [in Chinese]

  • Petra D, Stefan S (2002) Global modeling of irrigation water requirements. Water Resour Res 38(4):1037–1048

    Google Scholar 

  • Siebert S, Döll P (2010) Quantifying blue and green virtual water contents in global crop production as well as potential production losses without irrigation. J Hydrol 384:198–207

    Article  Google Scholar 

  • Sun SK, Wu PT, Wang YB, Zhao XN (2013a) Temporal variability of water footprint for maize production: the case of Beijing from 1978 to 2008. Water Resour Manag 27(7):2447–2463

    Article  Google Scholar 

  • Sun SK, Wu PT, Wang YB, Zhao XN, Liu J, Zhang XH (2013b) The impacts of interannual climate variability and agricultural inputs on water footprint of crop production in an irrigation district of China. Sci Total Environ 444:498–507

    Article  Google Scholar 

  • Van OPR, Mekonnen MM, Hoekstra AY (2009) The external water footprint of the Netherlands: geographically-explicit quantification and impact assessment. Ecol Econ 69(1):82–92

    Article  Google Scholar 

  • Wang ZN (2009) Irrigation and drainage engineering theory, 2nd edn. Agriculture Press, Beijing [in Chinese]

    Google Scholar 

  • Williams JR (1995) The EPIC model. In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publisher, Littleton, pp 909–1000

    Google Scholar 

  • Williams JR, Jones CA, Kiniry JR, Spanel DA (1989) The EPIC crop growth-model. Trans ASAE 32(2):497–511

    Article  Google Scholar 

  • Wu PT, Jin JM, Zhao XN (2010) Impact of climate change and irrigation technology advancement on agricultural water use in China. Clim Chang 100(3–4):797–805

    Article  Google Scholar 

  • Xu ZM, Long AH (2004) The primary study on assessing social water scarcity in China. Acta Geograph Sin 59(6):982–988 [in Chinese]

    Google Scholar 

  • Yang H, Zhou Y, Liu J (2009) Land and water requirements of biofuel and implications for food supply and the environment in China. Energy Pol 37:1876–1885

    Article  Google Scholar 

Download references

Acknowledgments

This work is jointly supported by the Special Foundation of National Science & Technology Supporting Plan (2011BAD29B09), 111 Project (No.B12007), the Supporting Plan of Young Elites and basic operational cost of research from Northwest A & F University, and the Scholarship Award for Excellent Doctoral Student granted by the Ministry of Education (2012). We are grateful to National Center of Irrigation and Drainage Development, the Ministry of Water Resource of China for providing this study with precious data. We specially appreciate Sun Shikun and Tao Yuanyuan from Chinese Academy of Sciences (CAS), who have checked the language for the paper. Last but not least, we thank two anonymous reviewers for their constructive comments on the newest version of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pute Wu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cao, X., Wu, P., Wang, Y. et al. Water Footprint of Grain Product in Irrigated Farmland of China. Water Resour Manage 28, 2213–2227 (2014). https://doi.org/10.1007/s11269-014-0607-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-014-0607-1

Keywords

Navigation