IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v254y2021ics0378377421002286.html
   My bibliography  Save this article

Methodology for studying nitrogen loss from paddy fields under alternate wetting and drying irrigation in the lower reaches of the Yangtze River in China

Author

Listed:
  • Li, Jinwen
  • Qian, Xiaoyong
  • Zhang, Min
  • Fu, Kan
  • Zhu, Wenjun
  • Zhao, Qingjie
  • Shen, Genxiang
  • Wang, Zhenqi
  • Chen, Xiaohua

Abstract

Nitrogen (N) loss from paddy fields is a major cause of water eutrophication. Alternate wetting and drying (AWD) irrigation is a promising measure for controlling nutrient loss. Nevertheless, quantifying N loss from paddy fields under AWD to water bodies is difficult because of 1) the sharp fluctuations in soil moisture and 2) the variation in runoff N concentrations caused by the probable first flush effect. Consequently, studies on N loss are usually confined to plot experiments. From June to November 2020, a 2.5 ha field-scale experiment was conducted in Shanghai during the rice growth stage. The proposed methodology included recording the water levels in a paddy field, quantification of runoff, and implementation of automatic sampling procedures. The electrical conductivity (EC) of runoff was applied to study the loss characteristics of nutrients. The antecedent field water level (AFWL) in paddies was used to evaluate the effect of soil moisture on the field water capacity, which was indicated by the runoff curve number (CN). It was found that AWD significantly altered the CN. When the AFWL dropped to 100 mm beneath the soil surface, the CN dropped to 40. The EC was closely related to the N concentration (adjusted R2 = 0.76, n = 176) when water samples with N concentrations ranging from 0.28 to 109.32 mg/L were analyzed. A hydrograph of EC versus runoff velocity during rainfall events indicated the significant effects of dilution caused by rainfall; therefore, the estimate of N loss should be based on high-frequency sampling. There was a more significant first flush effect on N loss during rainfall events than with artificial drainage. However, due to the high frequency of artificial drainage, N loss through artificial drainage should also be fully taken into account. In conclusion, the quantity and quality of N loss were significantly affected by wide fluctuations in soil moisture under AWD and the first flush effect of rainfall.

Suggested Citation

  • Li, Jinwen & Qian, Xiaoyong & Zhang, Min & Fu, Kan & Zhu, Wenjun & Zhao, Qingjie & Shen, Genxiang & Wang, Zhenqi & Chen, Xiaohua, 2021. "Methodology for studying nitrogen loss from paddy fields under alternate wetting and drying irrigation in the lower reaches of the Yangtze River in China," Agricultural Water Management, Elsevier, vol. 254(C).
  • Handle: RePEc:eee:agiwat:v:254:y:2021:i:c:s0378377421002286
    DOI: 10.1016/j.agwat.2021.106963
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377421002286
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2021.106963?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. Ishfaq, Muhammad & Farooq, Muhammad & Zulfiqar, Usman & Hussain, Saddam & Akbar, Nadeem & Nawaz, Ahmad & Anjum, Shakeel Ahmad, 2020. "Alternate wetting and drying: A water-saving and ecofriendly rice production system," Agricultural Water Management, Elsevier, vol. 241(C).
    2. Nolz, R. & Kammerer, G. & Cepuder, P., 2013. "Calibrating soil water potential sensors integrated into a wireless monitoring network," Agricultural Water Management, Elsevier, vol. 116(C), pages 12-20.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Yanzhi & Chen, Ji & Sun, Yidi & Jiao, Yanting & Yang, Yi & Yuan, Xiaoqi & Lærke, Poul Erik & Wu, Qi & Chi, Daocai, 2023. "Zeolite reduces N leaching and runoff loss while increasing rice yields under alternate wetting and drying irrigation regime," Agricultural Water Management, Elsevier, vol. 277(C).
    2. Kaiwen Chen & Shuang’en Yu & Tao Ma & Jihui Ding & Pingru He & Yao Li & Yan Dai & Guangquan Zeng, 2022. "Modeling the Water and Nitrogen Management Practices in Paddy Fields with HYDRUS-1D," Agriculture, MDPI, vol. 12(7), pages 1-18, June.

    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. Nolz, R. & Cepuder, P. & Balas, J. & Loiskandl, W., 2016. "Soil water monitoring in a vineyard and assessment of unsaturated hydraulic parameters as thresholds for irrigation management," Agricultural Water Management, Elsevier, vol. 164(P2), pages 235-242.
    2. Han, Huanhao & Gao, Rong & Cui, Yuanlai & Gu, Shixiang, 2022. "A semi-empirical semi-process model of ammonia volatilization from paddy fields under different irrigation modes and urea application regimes," Agricultural Water Management, Elsevier, vol. 272(C).
    3. Martínez-Eixarch, Maite & Alcaraz, Carles & Guàrdia, Mercè & Català-Forner, Mar & Bertomeu, Andrea & Monaco, Stefano & Cochrane, Nicole & Oliver, Viktoria & Teh, Yit Arn & Courtois, Brigitte & Price, , 2021. "Multiple environmental benefits of alternate wetting and drying irrigation system with limited yield impact on European rice cultivation: The Ebre Delta case," Agricultural Water Management, Elsevier, vol. 258(C).
    4. Wei, Jun & Cui, Yuanlai & Zhou, Sihang & Luo, Yufeng, 2022. "Regional water-saving potential calculation method for paddy rice based on remote sensing," Agricultural Water Management, Elsevier, vol. 267(C).
    5. López, Juan A. & Navarro, H. & Soto, F. & Pavón, N. & Suardíaz, J. & Torres, R., 2015. "GAIA2: A multifunctional wireless device for enhancing crop management," Agricultural Water Management, Elsevier, vol. 151(C), pages 75-86.
    6. Navarro-Hellín, H. & Torres-Sánchez, R. & Soto-Valles, F. & Albaladejo-Pérez, C. & López-Riquelme, J.A. & Domingo-Miguel, R., 2015. "A wireless sensors architecture for efficient irrigation water management," Agricultural Water Management, Elsevier, vol. 151(C), pages 64-74.
    7. Ariani, Miranti & Hanudin, Eko & Haryono, Eko, 2022. "The effect of contrasting soil textures on the efficiency of alternate wetting-drying to reduce water use and global warming potential," Agricultural Water Management, Elsevier, vol. 274(C).
    8. Liu, Lianhua & Ouyang, Wei & Wang, Yidi & Lian, Zhongmin & Pan, Junting & Liu, Hongbin & Chen, Jingrui & Niu, Shiwei, 2023. "Paddy water managements for diffuse nitrogen and phosphorus pollution control in China: A comprehensive review and emerging prospects," Agricultural Water Management, Elsevier, vol. 277(C).
    9. Chen, Peng & Xu, Junzeng & Zhang, Zhongxue & Nie, Tangzhe & Wang, Kechun & Guo, Hang, 2022. "Where the straw-derived nitrogen gone in paddy field subjected to different irrigation regimes and straw placement depths? Evidence from 15N labeling," Agricultural Water Management, Elsevier, vol. 273(C).
    10. Wenjiang Jing & Hao Wu & Hanzhu Gu & Zhilin Xiao & Weilu Wang & Weiyang Zhang & Junfei Gu & Lijun Liu & Zhiqin Wang & Jianhua Zhang & Jianchang Yang & Hao Zhang, 2022. "Response of Grain Yield and Water Use Efficiency to Irrigation Regimes during Mid-Season indica Rice Genotype Improvement," Agriculture, MDPI, vol. 12(10), pages 1-18, October.
    11. Liang, Kaiming & Zhong, Xuhua & Fu, Youqiang & Hu, Xiangyu & Li, Meijuan & Pan, Junfeng & Liu, Yanzhuo & Hu, Rui & Ye, Qunhuan, 2023. "Mitigation of environmental N pollution and greenhouse gas emission from double rice cropping system with a new alternate wetting and drying irrigation regime coupled with optimized N fertilization in," Agricultural Water Management, Elsevier, vol. 282(C).
    12. Morales-Santos, Angela & Nolz, Reinhard, 2023. "Assessment of canopy temperature-based water stress indices for irrigated and rainfed soybeans under subhumid conditions," Agricultural Water Management, Elsevier, vol. 279(C).
    13. Janssens, Pieter & Diels, Jan & Vanderborght, Jan & Elsen, Frank & Elsen, Annemie & Deckers, Tom & Vandendriessche, Hilde, 2015. "Numerical calculation of soil water potential in an irrigated ‘conference’ pear orchard," Agricultural Water Management, Elsevier, vol. 148(C), pages 113-122.
    14. Yan, Jun & Wu, Qixia & Qi, Dongliang & Zhu, Jianqiang, 2022. "Rice yield, water productivity, and nitrogen use efficiency responses to nitrogen management strategies under supplementary irrigation for rain-fed rice cultivation," Agricultural Water Management, Elsevier, vol. 263(C).
    15. Qi, Suting & Yang, Shihong & Lin, Xiuyan & Hu, Jiazhen & Jiang, Zewei & Xu, Yi, 2023. "The long-term effectiveness of biochar in increasing phosphorus availability and reducing its release risk to the environment in water-saving irrigated paddy fields," Agricultural Water Management, Elsevier, vol. 282(C).
    16. Zeng, Yuan-Fu & Chen, Ching-Tien & Lin, Gwo-Fong, 2023. "Practical application of an intelligent irrigation system to rice paddies in Taiwan," Agricultural Water Management, Elsevier, vol. 280(C).
    17. Li, Yinghao & Zheng, Junlin & Wu, Qi & Gong, Xingmei & Zhang, Zhongxiao & Chen, Yinglong & Chen, Taotao & Siddique, Kadambot H.M. & Chi, Daocai, 2022. "Zeolite increases paddy soil potassium fixation, partial factor productivity, and potassium balance under alternate wetting and drying irrigation," Agricultural Water Management, Elsevier, vol. 260(C).
    18. Delgado, Bueno & Paredes, Madrid & Martínez, Molina, 2015. "Software application for calculating solar radiation and equivalent evaporation in mobile devices," Agricultural Water Management, Elsevier, vol. 151(C), pages 30-36.

    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:254:y:2021:i:c:s0378377421002286. 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.