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Infiltration process of irrigation water in oasis farmland and its enlightenment to optimization of irrigation mode: Based on stable isotope data

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  • Zhu, Guofeng
  • Yong, Leilei
  • Zhang, Zhuanxia
  • Sun, Zhigang
  • Sang, Liyuan
  • Liu, Yuwei
  • Wang, Lei
  • Guo, Huiwen

Abstract

The transmission of water through soil is one of the critical links to reflect the hydrological process. At present, there are controversies about the infiltration of farmland irrigation water and the replacement of old and new water in arid areas, which significantly reduces the scientific nature of the irrigation policy formulation. In this study, we monitored the temporal and spatial changes of stable isotopes of soil water in Minqin Oasis farmland, analyzed the infiltration process of irrigation water, used the MixSIAR isotope mixture model to estimate the contribution of irrigation water to soil water and evaluated their effective contribution time to different soil layers. This study suggests that: The temporal and spatial changes in pore water isotope reflect the process of artificial irrigation and evaporation. Within 5 days after irrigation, the average contribution rate of irrigation at 0–20 cm, 20–60 cm, and 60–100 cm soil layers was 31.11 ± 17.74%, 19.17 ± 12.72%, and 31.56 ± 12.42%, respectively. Under the influence of soil water content, topography, and plastic film cover, the effective contribution time of irrigation water to 0–20 cm and 60–100 cm soil layers was more than 5 d, and the effective contribution time to the 60–100 cm soil layer is only 4 d. The research results will help understand the hydrological process of farmland in the arid oasis area and provide a scientific basis for improving agricultural irrigation mode, which will help realize the sustainable development of regional agriculture.

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  • Zhu, Guofeng & Yong, Leilei & Zhang, Zhuanxia & Sun, Zhigang & Sang, Liyuan & Liu, Yuwei & Wang, Lei & Guo, Huiwen, 2021. "Infiltration process of irrigation water in oasis farmland and its enlightenment to optimization of irrigation mode: Based on stable isotope data," Agricultural Water Management, Elsevier, vol. 258(C).
    • Handle: RePEc:eee:agiwat:v:258:y:2021:i:c:s0378377421004509
    DOI: 10.1016/j.agwat.2021.107173
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    1. Ning, Songrui & Zhou, Beibei & Shi, Jianchu & Wang, Quanjiu, 2021. "Soil water/salt balance and water productivity of typical irrigation schedules for cotton under film mulched drip irrigation in northern Xinjiang," Agricultural Water Management, Elsevier, vol. 245(C).
    2. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    3. Li, Meng & Du, Yingji & Zhang, Fucang & Bai, Yungang & Fan, Junliang & Zhang, Jianghui & Chen, Shaoming, 2019. "Simulation of cotton growth and soil water content under film-mulched drip irrigation using modified CSM-CROPGRO-cotton model," Agricultural Water Management, Elsevier, vol. 218(C), pages 124-138.
    4. Yamanaka, Tsutomu & Inoue, Mitsuhiro & Kaihotsu, Ichirow, 2004. "Effects of gravel mulch on water vapor transfer above and below the soil surface," Agricultural Water Management, Elsevier, vol. 67(2), pages 145-155, June.
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    Cited by:

    1. Jiao, Yinying & Zhu, Guofeng & Meng, Gaojia & Lu, Siyu & Qiu, Dongdong & Lin, Xinrui & Li, Rui & Wang, Qinqin & Chen, Longhu & Zhao, Ling & Yang, Jiangwei & Sun, Niu, 2023. "Estimating non-productive water loss in irrigated farmland in arid oasis regions: Based on stable isotope data," Agricultural Water Management, Elsevier, vol. 289(C).
    2. Dou, Xu & Shi, Haibin & Li, Ruiping & Miao, Qingfeng & Yan, Jianwen & Tian, Feng & Wang, Bo, 2022. "Simulation and evaluation of soil water and salt transport under controlled subsurface drainage using HYDRUS-2D model," Agricultural Water Management, Elsevier, vol. 273(C).
    3. Yu, Haijiao & Wen, Xiaohu & Wu, Min & Sheng, Danrui & Wu, Jun & Zhao, Ying, 2022. "Data-based groundwater quality estimation and uncertainty analysis for irrigation agriculture," Agricultural Water Management, Elsevier, vol. 262(C).
    4. Linlin Ye & Yuanxiao Xu & Guofeng Zhu & Wenhao Zhang & Yinying Jiao, 2023. "Effects of Different Mulch Types on Farmland Soil Moisture in an Artificial Oasis Area," Land, MDPI, vol. 13(1), pages 1-17, December.

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