IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v273y2022ics0378377422004474.html
   My bibliography  Save this article

Determination of irrigation water quantity and its impact on crop yield and groundwater

Author

Listed:
  • Yan, Wenhui
  • Li, Fawen
  • Zhao, Yong

Abstract

The objective of reservoir water allocation based on considering the ecological water demand of the downstream river has an important impact on the water allocation of each water user and the downstream ecology. Agricultural irrigation with large water consumption will directly affect crop yield. Irrigation water, as the recharge of groundwater in irrigation districts, also plays an important role in the restoration of groundwater. This research used the range of variability approach (RVA), a method of flow management considering the water demand of river ecosystems, to provide the recommended outflow range (RVA target) of the Huangbizhuang Reservoir upstream of the Shijin irrigation district. First, we used the RVA target to determine the water allocation of each water user, set 27 irrigation schemes with the water allocation of agriculture as a constraint, and used the validated AquaCrop model (seven years of field experiment data were used to calibrate AquaCrop model parameters) to evaluate the most appropriate irrigation schemes and their impact on groundwater restoration in the irrigation district. The results showed that the amount of water available for agricultural irrigation in the flood season under the RVA target was 84 mm, which was 36 mm less than the current irrigation quota (120 mm). Three irrigation schemes better than the current scheme (scheme 0) were selected, i.e., scheme 1 (irrigate 42 mm at the seedling and jointing stages), scheme 16 (irrigate 42 mm at the seedling stage), and scheme 22 (irrigate 84 mm at the seedling stage). Scheme 22 increased the yield of corn and WP (water productivity), which were 17 kg/ha and 1 kg/ha/mm higher than scheme 0, respectively, which provided the greatest increase in yield. Scheme 22 can restore 0.727 m of the groundwater table. The yield increased in scheme 16 was 4 kg/ha higher than that in scheme 0. Scheme 16 can restore 0.982 m of the groundwater table, which was the most conducive scheme for groundwater recharge. The WP of scheme 16 and scheme 1 was slightly different from that of scheme 0. There was a slight difference in biomass among the four schemes. The yield increased in scheme 1 was 12 kg/ha higher than that in scheme 0, which could restore 0.727 m of the groundwater table simultaneously, which was for a normal year. This research can provide a reference for the formulation of a local irrigation scheme to stabilize and increase summer maize yield on the premise of satisfying the ecological water demand of the river and restoring the groundwater table.

Suggested Citation

  • Yan, Wenhui & Li, Fawen & Zhao, Yong, 2022. "Determination of irrigation water quantity and its impact on crop yield and groundwater," Agricultural Water Management, Elsevier, vol. 273(C).
    • Handle: RePEc:eee:agiwat:v:273:y:2022:i:c:s0378377422004474
    DOI: 10.1016/j.agwat.2022.107900
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422004474
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.107900?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yang, Yonghui & Watanabe, Masataka & Zhang, Xiying & Zhang, Jiqun & Wang, Qinxue & Hayashi, Seiji, 2006. "Optimizing irrigation management for wheat to reduce groundwater depletion in the piedmont region of the Taihang Mountains in the North China Plain," Agricultural Water Management, Elsevier, vol. 82(1-2), pages 25-44, April.
    2. Li, Quanqi & Dong, Baodi & Qiao, Yunzhou & Liu, Mengyu & Zhang, Jiwang, 2010. "Root growth, available soil water, and water-use efficiency of winter wheat under different irrigation regimes applied at different growth stages in North China," Agricultural Water Management, Elsevier, vol. 97(10), pages 1676-1682, October.
    3. Andarzian, B. & Bannayan, M. & Steduto, P. & Mazraeh, H. & Barati, M.E. & Barati, M.A. & Rahnama, A., 2011. "Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran," Agricultural Water Management, Elsevier, vol. 100(1), pages 1-8.
    4. Linker, Raphael & Ioslovich, Ilya & Sylaios, Georgios & Plauborg, Finn & Battilani, Adriano, 2016. "Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato," Agricultural Water Management, Elsevier, vol. 163(C), pages 236-243.
    5. Zhao, Jie & Han, Tong & Wang, Chong & Jia, Hao & Worqlul, Abeyou W. & Norelli, Nicole & Zeng, Zhaohai & Chu, Qingquan, 2020. "Optimizing irrigation strategies to synchronously improve the yield and water productivity of winter wheat under interannual precipitation variability in the North China Plain," Agricultural Water Management, Elsevier, vol. 240(C).
    6. Zou, Yufeng & Saddique, Qaisar & Ali, Ajaz & Xu, Jiatun & Khan, Muhammad Imran & Qing, Mu & Azmat, Muhammad & Cai, Huanjie & Siddique, Kadambot H.M., 2021. "Deficit irrigation improves maize yield and water use efficiency in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 243(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Iqbal, M. Anjum & Shen, Yanjun & Stricevic, Ruzica & Pei, Hongwei & Sun, Hongyoung & Amiri, Ebrahim & Penas, Angel & del Rio, Sara, 2014. "Evaluation of the FAO AquaCrop model for winter wheat on the North China Plain under deficit irrigation from field experiment to regional yield simulation," Agricultural Water Management, Elsevier, vol. 135(C), pages 61-72.
    2. Mu, Qing & Xu, Jiatun & Yu, Miao & Guo, Zijian & Dong, Mengqi & Cao, Yuxin & Zhang, Suiqi & Sun, Shikun & Cai, Huanjie, 2022. "Physiological response of winter wheat (Triticum aestivum L.) during vegetative growth to gradual, persistent and intermittent drought," Agricultural Water Management, Elsevier, vol. 274(C).
    3. Zhao, Jie & Han, Tong & Wang, Chong & Jia, Hao & Worqlul, Abeyou W. & Norelli, Nicole & Zeng, Zhaohai & Chu, Qingquan, 2020. "Optimizing irrigation strategies to synchronously improve the yield and water productivity of winter wheat under interannual precipitation variability in the North China Plain," Agricultural Water Management, Elsevier, vol. 240(C).
    4. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Du, Taisheng & Tong, Ling & Li, Sien & Ding, Risheng & Zhang, Xiaotao, 2018. "Parameterization of the AquaCrop model for full and deficit irrigated maize for seed production in arid Northwest China," Agricultural Water Management, Elsevier, vol. 203(C), pages 438-450.
    5. You, Yongliang & Song, Ping & Yang, Xianlong & Zheng, Yapeng & Dong, Li & Chen, Jing, 2022. "Optimizing irrigation for winter wheat to maximize yield and maintain high-efficient water use in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 273(C).
    6. Zhang, Chao & Liu, Jiangui & Shang, Jiali & Dong, Taifeng & Tang, Min & Feng, Shaoyuan & Cai, Huanjie, 2021. "Improving winter wheat biomass and evapotranspiration simulation by assimilating leaf area index from spectral information into a crop growth model," Agricultural Water Management, Elsevier, vol. 255(C).
    7. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Tong, Ling & Ding, Risheng & Du, Taisheng & Li, Sien & Zhang, Xiaotao, 2017. "Performance of AquaCrop and SIMDualKc models in evapotranspiration partitioning on full and deficit irrigated maize for seed production under plastic film-mulch in an arid region of China," Agricultural Systems, Elsevier, vol. 151(C), pages 20-32.
    8. Wang, Bo & van Dam, Jos & Yang, Xiaolin & Ritsema, Coen & Du, Taisheng & Kang, Shaozhong, 2023. "Reducing water productivity gap by optimizing irrigation regime for winter wheat-summer maize system in the North China Plain," Agricultural Water Management, Elsevier, vol. 280(C).
    9. Wang, Xiquan & Nie, Jiangwen & Wang, Peixin & Zhao, Jie & Yang, Yadong & Wang, Shang & Zeng, Zhaohai & Zang, Huadong, 2021. "Does the replacement of chemical fertilizer nitrogen by manure benefit water use efficiency of winter wheat – summer maize systems?," Agricultural Water Management, Elsevier, vol. 243(C).
    10. Bai, Huiqing & Wang, Jing & Fang, Quanxiao & Huang, Binxiang, 2020. "Does a trade-off between yield and efficiency reduce water and nitrogen inputs of winter wheat in the North China Plain?," Agricultural Water Management, Elsevier, vol. 233(C).
    11. Wang, Haidong & Cheng, Minghui & Liao, Zhenqi & Guo, Jinjin & Zhang, Fucang & Fan, Junliang & Feng, Hao & Yang, Qiliang & Wu, Lifeng & Wang, Xiukang, 2023. "Performance evaluation of AquaCrop and DSSAT-SUBSTOR-Potato models in simulating potato growth, yield and water productivity under various drip fertigation regimes," Agricultural Water Management, Elsevier, vol. 276(C).
    12. Kelly, T.D. & Foster, T. & Schultz, David M., 2023. "Assessing the value of adapting irrigation strategies within the season," Agricultural Water Management, Elsevier, vol. 275(C).
    13. Xiaopei Tang & Haijun Liu & Li Yang & Lun Li & Jie Chang, 2022. "Energy Balance, Microclimate, and Crop Evapotranspiration of Winter Wheat ( Triticum aestivum L.) under Sprinkler Irrigation," Agriculture, MDPI, vol. 12(7), pages 1-23, June.
    14. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    15. Zhang, Chao & Xie, Ziang & Wang, Qiaojuan & Tang, Min & Feng, Shaoyuan & Cai, Huanjie, 2022. "AquaCrop modeling to explore optimal irrigation of winter wheat for improving grain yield and water productivity," Agricultural Water Management, Elsevier, vol. 266(C).
    16. Wu, Hao & Xu, Min & Peng, Zhuoyue & Chen, Xiaoping, 2022. "Quantifying the potential impacts of meltwater on cotton yields in the Tarim River Basin, Central Asia," Agricultural Water Management, Elsevier, vol. 269(C).
    17. Tsakmakis, I.D. & Gikas, G.D. & Sylaios, G.K., 2021. "Integration of Sentinel-derived NDVI to reduce uncertainties in the operational field monitoring of maize," Agricultural Water Management, Elsevier, vol. 255(C).
    18. Yan, Zhenxing & Zhang, Wenying & Liu, Xiuwei & Wang, Qingsuo & Liu, Binhui & Mei, Xurong, 2024. "Grain yield and water productivity of winter wheat controlled by irrigation regime and manure substitution in the North China Plain," Agricultural Water Management, Elsevier, vol. 295(C).
    19. Kaihua Liu & Xiyun Jiao & Weihua Guo & Yunhao An & Mohamed Khaled Salahou, 2020. "Improving border irrigation performance with predesigned varied-discharge," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-12, May.
    20. Li, Jingang & He, Pingru & Chen, Jing & Hamad, Amar Ali Adam & Dai, Xiaoping & Jin, Qiu & Ding, Siyu, 2023. "Tomato performance and changes in soil chemistry in response to salinity and Na/Ca ratio of irrigation water," Agricultural Water Management, Elsevier, vol. 285(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:273:y:2022:i:c:s0378377422004474. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.