IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v222y2019icp286-300.html
   My bibliography  Save this article

Regionalisation of nitrate leaching on pasture land in Southern Manitoba

Author

Listed:
  • Singh, Simratpal
  • Coppi, Luca
  • Wang, Zijian
  • Tenuta, Mario
  • Holländer, Hartmut M.

Abstract

Nitrogen is a key agricultural input which is crucial for crop growth, development, and yield. However, an excess application of nitrogen may result in the nitrate contamination of groundwater. This research focused on the estimation of nitrate leaching fluxes upon the application of pig slurry on pasture land in Southern Manitoba using physical based modeling and to further spatially disperse the point estimates of nitrate leaching fluxes at the field scale. The field site was located in Southeastern Manitoba. Grazing livestock tended to concentrate near areas such as mineral feeders, water troughs and shelters causing higher deposition density of urine and feces, resulting in six bare earth areas in the study site. HYDRUS-1D was used to determine continuous recharge and nutrient leaching estimates. The simulated leaching estimates were spatially dispersed using Cokriging. The difference in simulated and observed nitrate concentrations in groundwater was expressed in terms of RMSE between 0.023 and 5.12 mg NO3−-N L-1, NSE between 0.66 and 0.96 and the ME between −1.03 mg NO3−-N L-1 and 1.05 mg NO3−-N L-1. Simulation results suggested that two years of pig slurry application to the hay pasture on a coarse sandy soil did not cause significant accumulation of nitrate in the shallow groundwater since the maximum nitrate leaching flux were below 11 kg ha-1 resulting in NO3− concentration in groundwater below 1.2 mg L-1. In contrast, nitrate concentrations five times above the drinking water threshold were simulated in bare earth areas. Leaching of large amounts of nitrate occurred in these areas. Overall, HYDRUS-1D can be considered a useful tool in quantifying nitrate leaching estimates for pasture in a cold climate such as southeastern Manitoba, and Cokriging can be considered a reliable method for a study site where cross-correlations between variables are important to consider for carrying out interpolation.

Suggested Citation

  • Singh, Simratpal & Coppi, Luca & Wang, Zijian & Tenuta, Mario & Holländer, Hartmut M., 2019. "Regionalisation of nitrate leaching on pasture land in Southern Manitoba," Agricultural Water Management, Elsevier, vol. 222(C), pages 286-300.
    • Handle: RePEc:eee:agiwat:v:222:y:2019:i:c:p:286-300
    DOI: 10.1016/j.agwat.2019.05.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418306073
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.05.016?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. Ritter, A. & Hupet, F. & Munoz-Carpena, R. & Lambot, S. & Vanclooster, M., 2003. "Using inverse methods for estimating soil hydraulic properties from field data as an alternative to direct methods," Agricultural Water Management, Elsevier, vol. 59(2), pages 77-96, March.
    2. Hanson, Blaine R. & Simunek, Jirka & Hopmans, Jan W., 2006. "Evaluation of urea-ammonium-nitrate fertigation with drip irrigation using numerical modeling," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 102-113, November.
    3. Tan, Xuezhi & Shao, Dongguo & Gu, Wenquan & Liu, Huanhuan, 2015. "Field analysis of water and nitrogen fate in lowland paddy fields under different water managements using HYDRUS-1D," Agricultural Water Management, Elsevier, vol. 150(C), pages 67-80.
    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. Stafford, Madison J. & Holländer, Hartmut M. & Dow, Karen, 2022. "Estimating groundwater recharge in the assiniboine delta aquifer using HYDRUS-1D," Agricultural Water Management, Elsevier, vol. 267(C).
    2. Guo, Leilei & Wang, Zaimin & Šimůnek, Jirka & He, Yujiang & Muhamma, Rizwan, 2023. "Optimizing the strategies of mulched brackish drip irrigation under a shallow water table in Xinjiang, China, using HYDRUS-3D," Agricultural Water Management, Elsevier, vol. 283(C).

    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. 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.
    2. Phogat, V. & Skewes, M.A. & Cox, J.W. & Alam, J. & Grigson, G. & Šimůnek, J., 2013. "Evaluation of water movement and nitrate dynamics in a lysimeter planted with an orange tree," Agricultural Water Management, Elsevier, vol. 127(C), pages 74-84.
    3. Zhang, You-Liang & Feng, Shao-Yuan & Wang, Feng-Xin & Binley, Andrew, 2018. "Simulation of soil water flow and heat transport in drip irrigated potato field with raised beds and full plastic-film mulch in a semiarid area," Agricultural Water Management, Elsevier, vol. 209(C), pages 178-187.
    4. Mubarak, Ibrahim & Mailhol, Jean Claude & Angulo-Jaramillo, Rafael & Bouarfa, Sami & Ruelle, Pierre, 2009. "Effect of temporal variability in soil hydraulic properties on simulated water transfer under high-frequency drip irrigation," Agricultural Water Management, Elsevier, vol. 96(11), pages 1547-1559, November.
    5. Amin, M.G. Mostofa & Šimůnek, Jirka & Lægdsmand, Mette, 2014. "Simulation of the redistribution and fate of contaminants from soil-injected animal slurry," Agricultural Water Management, Elsevier, vol. 131(C), pages 17-29.
    6. Vedran Krevh & Lana Filipović & Jasmina Defterdarović & Igor Bogunović & Yonggen Zhang & Zoran Kovač & Andrew Barton & Vilim Filipović, 2023. "Investigating Near-Surface Hydrologic Connectivity in a Grass-Covered Inter-Row Area of a Hillslope Vineyard Using Field Monitoring and Numerical Simulations," Land, MDPI, vol. 12(5), pages 1-18, May.
    7. Amir Sedaghatdoost & Hamed Ebrahimian & Abdolmajid Liaghat, 2019. "An Inverse Modeling Approach to Calibrate Parameters for a Drainage Model with Two Optimization Algorithms on Homogeneous/Heterogeneous Soil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1383-1395, March.
    8. Phogat, V. & Skewes, Mark A. & Mahadevan, M. & Cox, J.W., 2013. "Evaluation of soil plant system response to pulsed drip irrigation of an almond tree under sustained stress conditions," Agricultural Water Management, Elsevier, vol. 118(C), pages 1-11.
    9. Sharmiladevi, R. & Ravikumar, V., 2021. "Simulation of nitrogen fertigation schedule for drip irrigated paddy," Agricultural Water Management, Elsevier, vol. 252(C).
    10. Rahil, M.H. & Antonopoulos, V.Z., 2007. "Simulating soil water flow and nitrogen dynamics in a sunflower field irrigated with reclaimed wastewater," Agricultural Water Management, Elsevier, vol. 92(3), pages 142-150, September.
    11. Karandish, Fatemeh & Šimůnek, Jiří, 2019. "A comparison of the HYDRUS (2D/3D) and SALTMED models to investigate the influence of various water-saving irrigation strategies on the maize water footprint," Agricultural Water Management, Elsevier, vol. 213(C), pages 809-820.
    12. Wei, Qi & Wei, Qi & Xu, Junzeng & Liu, Yuzhou & Wang, Dong & Chen, Shengyu & Qian, Wenhao & He, Min & Chen, Peng & Zhou, Xuanying & Qi, Zhiming, 2024. "Nitrogen losses from soil as affected by water and fertilizer management under drip irrigation: Development, hotspots and future perspectives," Agricultural Water Management, Elsevier, vol. 296(C).
    13. Wang, Zhen & Li, Jiusheng & Li, Yanfeng, 2014. "Simulation of nitrate leaching under varying drip system uniformities and precipitation patterns during the growing season of maize in the North China Plain," Agricultural Water Management, Elsevier, vol. 142(C), pages 19-28.
    14. Li, Sen & Zuo, Qiang & Jin, Xinxin & Ma, Wenwen & Shi, Jianchu & Ben-Gal, Alon, 2018. "The physiological processes and mechanisms for superior water productivity of a popular ground cover rice production system," Agricultural Water Management, Elsevier, vol. 201(C), pages 11-20.
    15. He, Yuelin & Xi, Benye & Li, Guangde & Wang, Ye & Jia, Liming & Zhao, Dehai, 2021. "Influence of drip irrigation, nitrogen fertigation, and precipitation on soil water and nitrogen distribution, tree seasonal growth and nitrogen uptake in young triploid poplar (Populus tomentosa) pla," Agricultural Water Management, Elsevier, vol. 243(C).
    16. Che, Zheng & Wang, Jun & Li, Jiusheng, 2022. "Modeling strategies to balance salt leaching and nitrogen loss for drip irrigation with saline water in arid regions," Agricultural Water Management, Elsevier, vol. 274(C).
    17. Tan, Xuezhi & Shao, Dongguo & Gu, Wenquan & Liu, Huanhuan, 2015. "Field analysis of water and nitrogen fate in lowland paddy fields under different water managements using HYDRUS-1D," Agricultural Water Management, Elsevier, vol. 150(C), pages 67-80.
    18. Muñoz-Carpena, R. & Ritter, A. & Bosch, D.D. & Schaffer, B. & Potter, T.L., 2008. "Summer cover crop impacts on soil percolation and nitrogen leaching from a winter corn field," Agricultural Water Management, Elsevier, vol. 95(6), pages 633-644, June.
    19. Hou, Zhenan & Chen, Weiping & Li, Xiao & Xiu, Lin & Wu, Laosheng, 2009. "Effects of salinity and fertigation practice on cotton yield and 15N recovery," Agricultural Water Management, Elsevier, vol. 96(10), pages 1483-1489, October.
    20. Azad, Nasrin & Behmanesh, Javad & Rezaverdinejad, Vahid & Abbasi, Fariborz & Navabian, Maryam, 2018. "Developing an optimization model in drip fertigation management to consider environmental issues and supply plant requirements," Agricultural Water Management, Elsevier, vol. 208(C), pages 344-356.

    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:222:y:2019:i:c:p:286-300. 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.