IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v266y2022ics0378377422001470.html
   My bibliography  Save this article

The effect of heavy rainfall events on nitrogen patterns in agricultural surface and underground streams and the implications for karst water quality protection

Author

Listed:
  • Wang, Zhong-Jun
  • Yue, Fu-Jun
  • Wang, Yu-Chun
  • Qin, Cai-Qing
  • Ding, Hu
  • Xue, Li-Li
  • Li, Si-Liang

Abstract

Special hydrological structures coupled with rainfall and agricultural activities have great impacts on water quality in karst areas. High-frequency hydro-chemical, dual nitrate isotopes and a Bayesian mixing model (SIAR) were employed to investigate the effect of heavy rainfall events on nitrogen patterns in surface and underground streams and explore the implications for nitrogen pollution prevention in a typical karst agricultural catchment in Southwest China. The results showed that [NO3--N] was relatively high in both surface and underground streams and the average value in surface stream was two times higher than in underground stream. The lowest [NO3--N] of underground stream was found in the falling limb of the hydrograph. According to source apportionment by SIAR, chemical fertilizer was the dominant nitrate source in the study area, which contributed 52–81% and 29–78% of nitrate in surface stream and underground stream, respectively. The highest dissolved inorganic nitrogen flux and [NO3--N] in surface stream was 5.7 times and 2.4 times higher, respectively, than in underground stream over the same period, which suggested that surface runoff rather than underground stream was the main route of rapid nitrogen loss in the karst catchment during heavy rainfall events. Reasonably planning the fertilization time and optimizing nitrogen fertilizer use should be considered to decrease nitrogen loss from farmland. Rational use of a widespread karst underground conduit system to reduce water nitrogen content may also be a potential method for achieving nitrogen removal.

Suggested Citation

  • Wang, Zhong-Jun & Yue, Fu-Jun & Wang, Yu-Chun & Qin, Cai-Qing & Ding, Hu & Xue, Li-Li & Li, Si-Liang, 2022. "The effect of heavy rainfall events on nitrogen patterns in agricultural surface and underground streams and the implications for karst water quality protection," Agricultural Water Management, Elsevier, vol. 266(C).
    • Handle: RePEc:eee:agiwat:v:266:y:2022:i:c:s0378377422001470
    DOI: 10.1016/j.agwat.2022.107600
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422001470
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.107600?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. Sun, Guangzhao & Hu, Tiantian & Liu, Xiaogang & Peng, Youliang & Leng, Xianxian & Li, Yilin & Yang, Qiliang, 2022. "Optimizing irrigation and fertilization at various growth stages to improve mango yield, fruit quality and water-fertilizer use efficiency in xerothermic regions," Agricultural Water Management, Elsevier, vol. 260(C).
    2. Andrew C. Parnell & Donald L. Phillips & Stuart Bearhop & Brice X. Semmens & Eric J. Ward & Jonathan W. Moore & Andrew L. Jackson & Jonathan Grey & David J. Kelly & Richard Inger, 2013. "Bayesian stable isotope mixing models," Environmetrics, John Wiley & Sons, Ltd., vol. 24(6), pages 387-399, September.
    3. ChaoQing Yu & Xiao Huang & Han Chen & H. Charles J. Godfray & Jonathon S. Wright & Jim W. Hall & Peng Gong & ShaoQiang Ni & ShengChao Qiao & GuoRui Huang & YuChen Xiao & Jie Zhang & Zhao Feng & XiaoTa, 2019. "Managing nitrogen to restore water quality in China," Nature, Nature, vol. 567(7749), pages 516-520, March.
    4. Andrew C Parnell & Richard Inger & Stuart Bearhop & Andrew L Jackson, 2010. "Source Partitioning Using Stable Isotopes: Coping with Too Much Variation," PLOS ONE, Public Library of Science, vol. 5(3), pages 1-5, March.
    5. Pan, Junfeng & Liu, Yanzhuo & Zhong, Xuhua & Lampayan, Rubenito M. & Singleton, Grant R. & Huang, Nongrong & Liang, Kaiming & Peng, Bilin & Tian, Ka, 2017. "Grain yield, water productivity and nitrogen use efficiency of rice under different water management and fertilizer-N inputs in South China," Agricultural Water Management, Elsevier, vol. 184(C), pages 191-200.
    6. Ricci, Giovanni Francesco & D’Ambrosio, Ersilia & De Girolamo, Anna Maria & Gentile, Francesco, 2022. "Efficiency and feasibility of Best Management Practices to reduce nutrient loads in an agricultural river basin," Agricultural Water Management, Elsevier, vol. 259(C).
    7. Xin Zhang & Eric A. Davidson & Denise L. Mauzerall & Timothy D. Searchinger & Patrice Dumas & Ye Shen, 2015. "Managing nitrogen for sustainable development," Nature, Nature, vol. 528(7580), pages 51-59, December.
    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. Zhen, Wei & Qin, Quande & Miao, Lu, 2023. "The greenhouse gas rebound effect from increased energy efficiency across China's staple crops," Energy Policy, Elsevier, vol. 173(C).
    2. Zhen Yang & Weijun Gao & Jiawei Li, 2022. "Can Economic Growth and Environmental Protection Achieve a “Win–Win” Situation? Empirical Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    3. Xie, Zheyu & Zhang, Yujing & Zhang, Zhenyu & Huang, Jinliang, 2023. "Nitrate removal mechanism in riparian groundwater in an intensified agricultural catchment," Agricultural Water Management, Elsevier, vol. 280(C).
    4. Ouping Deng & Sitong Wang & Jiangyou Ran & Shuai Huang & Xiuming Zhang & Jiakun Duan & Lin Zhang & Yongqiu Xia & Stefan Reis & Jiayu Xu & Jianming Xu & Wim Vries & Mark A. Sutton & Baojing Gu, 2024. "Managing urban development could halve nitrogen pollution in China," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    5. Wang, Hongzhang & Ren, Hao & Zhang, Lihua & Zhao, Yali & Liu, Yuee & He, Qijin & Li, Geng & Han, Kun & Zhang, Jiwang & Zhao, Bin & Ren, Baizhao & Liu, Peng, 2023. "A sustainable approach to narrowing the summer maize yield gap experienced by smallholders in the North China Plain," Agricultural Systems, Elsevier, vol. 204(C).
    6. Heng Liu & Caizhu Huang & Heng Lian & Xia Cui, 2023. "Hierarchical Spatially Varying Coefficient Process Regression for Modeling Net Anthropogenic Nitrogen Inputs (NANI) from the Watershed of the Yangtze River, China," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    7. Paul L. G. Vlek & Asia Khamzina & Hossein Azadi & Anik Bhaduri & Luna Bharati & Ademola Braimoh & Christopher Martius & Terry Sunderland & Fatemeh Taheri, 2017. "Trade-Offs in Multi-Purpose Land Use under Land Degradation," Sustainability, MDPI, vol. 9(12), pages 1-19, November.
    8. Qu, Zhaoming & Chen, Qi & Feng, Haojie & Hao, Miao & Niu, Guoliang & Liu, Yanli & Li, Chengliang, 2022. "Interactive effect of irrigation and blend ratio of controlled release potassium chloride and potassium chloride on greenhouse tomato production in the Yellow River Basin of China," Agricultural Water Management, Elsevier, vol. 261(C).
    9. Xin Nie & Jianxian Wu & Han Wang & Weijuan Li & Chengdao Huang & Lihua Li, 2022. "Contributing to carbon peak: Estimating the causal impact of eco‐industrial parks on low‐carbon development in China," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1578-1593, August.
    10. Dániel Fróna & János Szenderák & Mónika Harangi-Rákos, 2019. "The Challenge of Feeding the World," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    11. Jiamin Liu & Xiaoyu Ma & Bin Zhao & Qi Cui & Sisi Zhang & Jiaoning Zhang, 2023. "Mandatory Environmental Regulation, Enterprise Labor Demand and Green Innovation Transformation: A Quasi-Experiment from China’s New Environmental Protection Law," Sustainability, MDPI, vol. 15(14), pages 1-31, July.
    12. Otavio Ananias Pereira da Silva & Dayane Bortoloto da Silva & Marcelo Carvalho Minhoto Teixeira-Filho & Tays Batista Silva & Cid Naudi Silva Campos & Fabio Henrique Rojo Baio & Gileno Brito de Azevedo, 2023. "Macro- and Micronutrient Contents and Their Relationship with Growth in Six Eucalyptus Species," Sustainability, MDPI, vol. 15(22), pages 1-12, November.
    13. David I. Stern, 2017. "The environmental Kuznets curve after 25 years," Journal of Bioeconomics, Springer, vol. 19(1), pages 7-28, April.
    14. Anna Lungarska & Thierry Brunelle & Raja Chakir & Pierre‐Alain Jayet & Rémi Prudhomme & Stéphane De Cara & Jean‐Christophe Bureau, 2023. "Halving mineral nitrogen use in European agriculture: Insights from multi‐scale land‐use models," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(3), pages 1529-1550, September.
    15. Shi, Xinrui & Batchelor, William D. & Liang, Hao & Li, Sien & Li, Baoguo & Hu, Kelin, 2020. "Determining optimal water and nitrogen management under different initial soil mineral nitrogen levels in northwest China based on a model approach," Agricultural Water Management, Elsevier, vol. 234(C).
    16. Jiuliang Xu & Liangquan Wu & Bingxin Tong & Jiaxu Yin & Zican Huang & Wei Li & Xuexian Li, 2021. "Magnesium Supplementation Alters Leaf Metabolic Pathways for Higher Flavor Quality of Oolong Tea," Agriculture, MDPI, vol. 11(2), pages 1-12, February.
    17. Wang, Hong & Zhang, Yan & Zhang, Yaojun & McDaniel, Marshall D. & Sun, Lan & Su, Wei & Fan, Xiaorong & Liu, Shuhua & Xiao, Xin, 2020. "Water-saving irrigation is a ‘win-win’ management strategy in rice paddies – With both reduced greenhouse gas emissions and enhanced water use efficiency," Agricultural Water Management, Elsevier, vol. 228(C).
    18. Napoleón Vargas Jurado & Kent M. Eskridge & Stephen D. Kachman & Ronald M. Lewis, 2018. "Using a Bayesian Hierarchical Linear Mixing Model to Estimate Botanical Mixtures," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 23(2), pages 190-207, June.
    19. Jun Li & Jiali Xing & Rui Ding & Wenjiao Shi & Xiaoli Shi & Xiaoqing Wang, 2023. "Systematic Evaluation of Nitrogen Application in the Production of Multiple Crops and Its Environmental Impacts in Fujian Province, China," Agriculture, MDPI, vol. 13(3), pages 1-17, March.
    20. Qian Wu & Chencheng Dai & Fanxu Meng & Yan Jiao & Zhichuan J. Xu, 2024. "Potential and electric double-layer effect in electrocatalytic urea synthesis," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

    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:266:y:2022:i:c:s0378377422001470. 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.