IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v298y2024ics0378377424002075.html
   My bibliography  Save this article

Improved determination of nitrate isotopes in irrigated agricultural areas and Bayesian mixing model quantification of nitrate sources and fate

Author

Listed:
  • Jiang, Weilong
  • Yang, Fang
  • Wang, Xihuan
  • Miao, Qingfeng
  • Ji, Meicheng
  • Pan, Ting
  • Wang, Qianqian
  • Han, Zhiming
  • Feng, Weiying
  • Liao, Haiqing

Abstract

Technological advancements in isotope techniques have been widely utilized in environmental pollution research, particularly for the monitoring of nitrate pollution in water. The utilization of pretreatment with an aqueous nitric acid solution offers numerous advantages in analyzing isotopic composition; however, there is still room for improvement regarding conversion efficiency, reduced reaction time, and cost control. In light of this, this study proposes an enhanced chemical conversion method that involves mitigating the interference caused by the nitrogen azide reaction during the pretreatment process, optimizing the purge gas to remove interfering factors, and improving the inlet device for measuring nitrous oxide. The improved method was applied to determine nitrate isotopes in the Ulansuhai Basin, Inner Mongolia and its reliability was verified through analytical results obtained from bacterial denitrification methods. The mean δ15N-NO3- and δ18O-NO3- values determined using the chemical transformation method were 4.85‰ and 23.44‰, respectively. Compared with the previous method, the improved method enhanced the maneuverability of precise control, the pretreatment time was reduced from 2 to 3 hours to 1.5 hours, and the experimental cost was scaled down to half of the original one. In addition, the contribution of each source was calculated by combining nitrate isotopes with a Bayesian stable isotope mixing model. It was found that manure sewage accounted for (50.1±22.6) % while soil nitrogen sources contributed (25.1±20.4) % to nitrate levels in Ulansuhai Lake's water. The chemical conversion methods successfully improved within this study can also be applied to other watersheds or regions. These research findings provide a valuable theoretical foundation for managing nitrogen sources within watersheds.

Suggested Citation

  • Jiang, Weilong & Yang, Fang & Wang, Xihuan & Miao, Qingfeng & Ji, Meicheng & Pan, Ting & Wang, Qianqian & Han, Zhiming & Feng, Weiying & Liao, Haiqing, 2024. "Improved determination of nitrate isotopes in irrigated agricultural areas and Bayesian mixing model quantification of nitrate sources and fate," Agricultural Water Management, Elsevier, vol. 298(C).
    • Handle: RePEc:eee:agiwat:v:298:y:2024:i:c:s0378377424002075
    DOI: 10.1016/j.agwat.2024.108872
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377424002075
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2024.108872?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. Jiacheng Li & Ruixue Cao & Qibin Lao & Fajin Chen & Chunqing Chen & Xin Zhou & Yafei Meng & Qingmei Zhu, 2020. "Assessing Seasonal Nitrate Contamination by Nitrate Dual Isotopes in a Monsoon-Controlled Bay with Intensive Human Activities in South China," IJERPH, MDPI, vol. 17(6), pages 1-16, March.
    2. Xu, Hang & Song, Jianfeng, 2022. "Drivers of the irrigation water rebound effect: A case study of Hetao irrigation district in Yellow River basin, China," Agricultural Water Management, Elsevier, vol. 266(C).
    3. Feng, Zhuangzhuang & Miao, Qingfeng & Shi, Haibin & Feng, Weiying & Li, Xianyue & Yan, Jianwen & Liu, Meihan & Sun, Wei & Dai, Liping & Liu, Jing, 2023. "Simulation of water balance and irrigation strategy of typical sand-layered farmland in the Hetao Irrigation District, China," Agricultural Water Management, Elsevier, vol. 280(C).
    4. Han, Huanhao & Gao, Rong & Cui, Yuanlai & Gu, Shixiang, 2021. "Transport and transformation of water and nitrogen under different irrigation modes and urea application regimes in paddy fields," Agricultural Water Management, Elsevier, vol. 255(C).
    5. Bonaiti, Gabriele & Borin, Maurizio, 2010. "Efficiency of controlled drainage and subirrigation in reducing nitrogen losses from agricultural fields," Agricultural Water Management, Elsevier, vol. 98(2), pages 343-352, December.
    6. Bai, Meijian & Xu, Di & Zhang, Shaohui & Li, Yinong, 2013. "Spatial–temporal distribution characteristics of water-nitrogen and performance evaluation for basin irrigation with conventional fertilization and fertigation methods," Agricultural Water Management, Elsevier, vol. 126(C), pages 75-84.
    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. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    2. Shang-Hung Pao & Hewder Wu & Hwey-Lian Hsieh & Chang-Po Chen & Hsing-Juh Lin, . "Effects of modulating probiotics on greenhouse gas emissions and yield in rice paddies," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 0.
    3. Drew, Mark & Crase, Lin, 2023. "‘More Crop per Drop’ and water use efficiency in the National Water Policy of Pakistan," Agricultural Water Management, Elsevier, vol. 288(C).
    4. 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.
    5. Tang, Darrell W.S. & Bartholomeus, Ruud P. & Ritsema, Coen J., 2024. "Wastewater irrigation beneath the water table: analytical model of crop contamination risks," Agricultural Water Management, Elsevier, vol. 298(C).
    6. Gao, Ya & Sun, Chen & Ramos, Tiago B. & Huo, Zailin & Huang, Guanhua & Xu, Xu, 2023. "Modeling nitrogen dynamics and biomass production in rice paddy fields of cold regions with the ORYZA-N model," Ecological Modelling, Elsevier, vol. 475(C).
    7. Xinyan Liu & Huanhao Han & Shixiang Gu & Rong Gao, 2023. "Effects of Urea Application on Soil Organic Nitrogen Mineralization and Nitrogen Fertilizer Availability in a Rice–Broad Bean Rotation System," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    8. 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).
    9. Yu, Qianan & Cui, Yuanlai, 2022. "Improvement and testing of ORYZA model water balance modules for alternate wetting and drying irrigation," Agricultural Water Management, Elsevier, vol. 271(C).
    10. Cai, Wenjuan & Jiang, Xiaohui & Sun, Haotian & Lei, Yuxin & Nie, Tong & Li, Lichan, 2023. "Spatial scale effect of irrigation efficiency paradox based on water accounting framework in Heihe River Basin, Northwest China," Agricultural Water Management, Elsevier, vol. 277(C).
    11. Shi, Shanheng & Zhou, Shiwei & Lei, Yongdeng & Harrison, Matthew Tom & Liu, Ke & Chen, Fu & Yin, Xiaogang, 2024. "Burgeoning food demand outpaces sustainable water supply in China," Agricultural Water Management, Elsevier, vol. 301(C).
    12. Hua, Keji & He, Jun & Liao, Bin & He, Tianzhong & Yang, Peng & Zhang, Lei, 2023. "Multi-objective decision-making for efficient utilization of water and fertilizer in paddy fields: A case study in Southern China," Agricultural Water Management, Elsevier, vol. 289(C).
    13. Wu, Nan & Zhang, Jianyun & Gao, Xinyu & Wang, Xiaojun & Wu, Mengyang & Cao, Xinchun, 2023. "Distribution and drivers for blue water dependence in crop production in China, 1999–2018," Agricultural Water Management, Elsevier, vol. 290(C).
    14. Hong, Cheng & Wang, Zhenchang & Wang, Yaosheng & Zong, Xingyu & Qiang, Xiaoman & Li, Qingxin & Shaghaleh, Hiba & Alhaj Hamoud, Yousef & Guo, Xiangping, 2024. "Response of duckweed to different irrigation modes under different fertilizer types and rice varieties: Unlocking the potential of duckweed (Lemna minor L.) in rice cultivation as "fertilizer cap," Agricultural Water Management, Elsevier, vol. 292(C).
    15. 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).
    16. El-Ghannam, Mohamed K. & Aiad, Mahmoud. A. & Abdallah, Ahmed M., 2021. "Irrigation efficiency, drain outflow and yield responses to drain depth in the Nile delta clay soil, Egypt," Agricultural Water Management, Elsevier, vol. 246(C).
    17. Pei Liu & Jiajun Xu & Xiaojun Yang, 2023. "Spatial Difference and Convergence of Ecological Common Prosperity: Evidence from the Yellow River Basin in China," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    18. Shang-Hung Pao & Hewder Wu & Hwey-Lian Hsieh & Chang-Po Chen & Hsing-Juh Lin, 2025. "Effects of modulating probiotics on greenhouse gas emissions and yield in rice paddies," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 71(1), pages 21-35.
    19. Lavaire, Tito & Gentry, Lowell E. & David, Mark B. & Cooke, Richard A., 2017. "Fate of water and nitrate using drainage water management on tile systems in east-central Illinois," Agricultural Water Management, Elsevier, vol. 191(C), pages 218-228.
    20. 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).

    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:298:y:2024:i:c:s0378377424002075. 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.