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Limitations of Water Resources to Crop Water Requirement in the Irrigation Districts along the Lower Reach of the Yellow River in China

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  • Lei Liu

    (School of Water Conservancy, North China University of Water Resources and Electric Power, No.36 Beihuan RD., Zhengzhou 450011, China)

  • Jianqin Ma

    (School of Water Conservancy, North China University of Water Resources and Electric Power, No.36 Beihuan RD., Zhengzhou 450011, China)

  • Xiuping Hao

    (School of Water Conservancy, North China University of Water Resources and Electric Power, No.36 Beihuan RD., Zhengzhou 450011, China)

  • Qingyun Li

    (School of Water Conservancy, North China University of Water Resources and Electric Power, No.36 Beihuan RD., Zhengzhou 450011, China)

Abstract

To analyze the water-resource limitations for crops in irrigation districts along the lower reach of the Yellow River, we used the single-crop coefficient method provided by FAO-56 to analyze crop water demand (CWD) and irrigation water requirement (IWR) for the main crops (winter wheat, summer maize, and cotton) from 1971 to 2015. The impact of climate threats on IWR was then quantified based on the standardized precipitation evapotranspiration index (SPEI), following which the conflicts between water demand and water supply were analyzed. The results show that about 75.4% of the total annual IWR volume is concentrated from March to June. Winter wheat is the largest water consumer; it used an average of 67.9% of the total IWR volume. The study area faced severe water scarcity, and severe water deficits occurred mainly between March and June, which is consistent with the occurrence of drought. With the runoff from the Yellow River Basin further decreasing in the future, the water supply is expected to become more limited. IWR is negatively correlated with the SPEI. Based on the relationship between SPEI and IWR, the water allocation for irrigation can be planned at different timescales to meet the CWD of different crops.

Suggested Citation

  • Lei Liu & Jianqin Ma & Xiuping Hao & Qingyun Li, 2019. "Limitations of Water Resources to Crop Water Requirement in the Irrigation Districts along the Lower Reach of the Yellow River in China," Sustainability, MDPI, vol. 11(17), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4680-:d:261648
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    1. Justin Sheffield & Eric F. Wood & Michael L. Roderick, 2012. "Little change in global drought over the past 60 years," Nature, Nature, vol. 491(7424), pages 435-438, November.
    2. Liu, Y. & Teixeira, J. L. & Zhang, H. J. & Pereira, L. S., 1998. "Model validation and crop coefficients for irrigation scheduling in the North China plain," Agricultural Water Management, Elsevier, vol. 36(3), pages 233-246, April.
    3. Liu, Yujie & Luo, Yi, 2010. "A consolidated evaluation of the FAO-56 dual crop coefficient approach using the lysimeter data in the North China Plain," Agricultural Water Management, Elsevier, vol. 97(1), pages 31-40, January.
    4. Pirmoradian, Nader & Davatgar, Naser, 2019. "Simulating the effects of climatic fluctuations on rice irrigation water requirement using AquaCrop," Agricultural Water Management, Elsevier, vol. 213(C), pages 97-106.
    5. Parsons, David J. & Rey, Dolores & Tanguy, Maliko & Holman, Ian P., 2019. "Regional variations in the link between drought indices and reported agricultural impacts of drought," Agricultural Systems, Elsevier, vol. 173(C), pages 119-129.
    6. Anonymous, 1966. "World Meteorological Organization," International Organization, Cambridge University Press, vol. 20(4), pages 842-844, October.
    7. Yang, Jia & Ren, Wei & Ouyang, Ying & Feng, Gary & Tao, Bo & Granger, Joshua J. & Poudel, Krishna P., 2019. "Projection of 21st century irrigation water requirement across the Lower Mississippi Alluvial Valley," Agricultural Water Management, Elsevier, vol. 217(C), pages 60-72.
    8. Wu, Dong & Fang, Shibo & Li, Xuan & He, Di & Zhu, Yongchao & Yang, Zaiqiang & Xu, Jiaxin & Wu, Yingjie, 2019. "Spatial-temporal variation in irrigation water requirement for the winter wheat-summer maize rotation system since the 1980s on the North China Plain," Agricultural Water Management, Elsevier, vol. 214(C), pages 78-86.
    9. Feng, Puyu & Wang, Bin & Liu, De Li & Yu, Qiang, 2019. "Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia," Agricultural Systems, Elsevier, vol. 173(C), pages 303-316.
    10. Facchi, A. & Gharsallah, O. & Corbari, C. & Masseroni, D. & Mancini, M. & Gandolfi, C., 2013. "Determination of maize crop coefficients in humid climate regime using the eddy covariance technique," Agricultural Water Management, Elsevier, vol. 130(C), pages 131-141.
    11. Yang, Xiaolin & Gao, Wangsheng & Shi, Quanhong & Chen, Fu & Chu, Qingquan, 2013. "Impact of climate change on the water requirement of summer maize in the Huang-Huai-Hai farming region," Agricultural Water Management, Elsevier, vol. 124(C), pages 20-27.
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