IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v28y2014i15p5231-5246.html
   My bibliography  Save this article

A Coupled Mathematical Model to Predict the Influence of Nitrogen Fertilization on Crop, Soil and Groundwater Quality

Author

Listed:
  • Irina Marinov
  • Anca Marinov

Abstract

Intensified use of nitrogen based fertilizers in agriculture has resulted in a significant increases in soils and groundwater nitrate concentrations all over the world. Here we propose a new coupled model which describes the physical transport and biogeochemical dynamics of the water and nitrogen compounds in a soil-water-plant-groundwater system. Our model takes into account water infiltration into an unsaturated porous medium, the complex biogeochemical cycle of nitrogen in soils, nitrate leaching from the agricultural system toward the aquifer’s water table, and the dispersion of nitrates in the groundwater. We calibrate our model and analyse the influence of soil type, precipitation or irrigation regime and fertilization schedules on leaching to groundwater as well as the temporal and spatial evolution of the nitrate pollutant plume in the aquifer. Simulations indicate that in order to achieve high crop yields while minimizing nitrogen loading to soils and groundwater we need to create an optimal balance between the amount of chemical fertilizers and water applied to crops on one hand, and the amount of nitrate and water used by plants on the other. We find that medium soils are more suitable for a sustainable corn production than coarse soils, ensuring both higher yield and less nitrate pollution of the aquifer. Regardless of soil type and irrigation schedule, a gradual fertilization throughout the plant life cycle reduces the potential for leaching and aquifer pollution. For medium soils, a more modest irrigation schedule results in more nitrate available for crops and less net leaching to the groundwater. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Irina Marinov & Anca Marinov, 2014. "A Coupled Mathematical Model to Predict the Influence of Nitrogen Fertilization on Crop, Soil and Groundwater Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5231-5246, December.
  • Handle: RePEc:spr:waterr:v:28:y:2014:i:15:p:5231-5246
    DOI: 10.1007/s11269-014-0664-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-014-0664-5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11269-014-0664-5?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. Gardenas, A.I. & Hopmans, J.W. & Hanson, B.R. & Simunek, J., 2005. "Two-dimensional modeling of nitrate leaching for various fertigation scenarios under micro-irrigation," Agricultural Water Management, Elsevier, vol. 74(3), pages 219-242, June.
    2. Costa, J. L. & Massone, H. & Martinez, D. & Suero, E. E. & Vidal, C. M. & Bedmar, F., 2002. "Nitrate contamination of a rural aquifer and accumulation in the unsaturated zone," Agricultural Water Management, Elsevier, vol. 57(1), pages 33-47, September.
    3. Xiaosi Su & Huang Wang & Yuling Zhang, 2013. "Health Risk Assessment of Nitrate Contamination in Groundwater: A Case Study of an Agricultural Area in Northeast China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 3025-3034, June.
    4. 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.
    5. Rinaldi, Michele, 2001. "Application of EPIC model for irrigation scheduling of sunflower in Southern Italy," Agricultural Water Management, Elsevier, vol. 49(3), pages 185-196, August.
    6. Everton Rocha & Maria Calijuri & Aníbal Santiago & Leonardo Assis & Luna Alves, 2012. "The Contribution of Conservation Practices in Reducing Runoff, Soil Loss, and Transport of Nutrients at the Watershed Level," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3831-3852, October.
    7. David Tilman & Kenneth G. Cassman & Pamela A. Matson & Rosamond Naylor & Stephen Polasky, 2002. "Agricultural sustainability and intensive production practices," Nature, Nature, vol. 418(6898), pages 671-677, August.
    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. Ge Song & Chao Dai & Qian Tan & Shan Zhang, 2019. "Agricultural Water Management Model Based on Grey Water Footprints under Uncertainty and its Application," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    2. 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.
    3. María del Pino Palacios-Diaz & Juan Ramón Fernández-Vera & Jose Manuel Hernández-Moreno & Regla Amorós & Vanessa Mendoza-Grimón, 2023. "Effect of Irrigation Management and Water Quality on Soil and Sorghum bicolor Payenne Yield in Cape Verde," Agriculture, MDPI, vol. 13(1), pages 1-18, January.

    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. 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.
    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. 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.
    6. 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.
    7. 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).
    8. 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.
    9. 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).
    10. 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.
    11. Callau-Beyer, Ana Claudia & Mburu, Martin Mungai & Weßler, Caspar-Friedrich & Amer, Nasser & Corbel, Anne-Laure & Wittnebel, Mareille & Böttcher, Jürgen & Bachmann, Jörg & Stützel, Hartmut, 2024. "Effect of high frequency subsurface drip fertigation on plant growth and agronomic nitrogen use efficiency of red cabbage," Agricultural Water Management, Elsevier, vol. 297(C).
    12. Karandish, Fatemeh & Šimůnek, Jiří, 2017. "Two-dimensional modeling of nitrogen and water dynamics for various N-managed water-saving irrigation strategies using HYDRUS," Agricultural Water Management, Elsevier, vol. 193(C), pages 174-190.
    13. Elmaloglou, S. & Diamantopoulos, E. & Dercas, N., 2010. "Comparing soil moisture under trickle irrigation modeled as a point and line source," Agricultural Water Management, Elsevier, vol. 97(3), pages 426-432, March.
    14. Kandelous, Maziar M. & Kamai, Tamir & Vrugt, Jasper A. & Šimůnek, Jiří & Hanson, Blaine & Hopmans, Jan W., 2012. "Evaluation of subsurface drip irrigation design and management parameters for alfalfa," Agricultural Water Management, Elsevier, vol. 109(C), pages 81-93.
    15. Leah Grout & Simon Hales & Nigel French & Michael G. Baker, 2018. "A Review of Methods for Assessing the Environmental Health Impacts of an Agricultural System," IJERPH, MDPI, vol. 15(7), pages 1-27, June.
    16. Jamei, Mehdi & Maroufpoor, Saman & Aminpour, Younes & Karbasi, Masoud & Malik, Anurag & Karimi, Bakhtiar, 2022. "Developing hybrid data-intelligent method using Boruta-random forest optimizer for simulation of nitrate distribution pattern," Agricultural Water Management, Elsevier, vol. 270(C).
    17. Barakat, Mohammad & Cheviron, Bruno & Angulo-Jaramillo, Rafael, 2016. "Influence of the irrigation technique and strategies on the nitrogen cycle and budget: A review," Agricultural Water Management, Elsevier, vol. 178(C), pages 225-238.
    18. Meng, Wenjie & Xing, Jinliang & Niu, Mu & Zuo, Qiang & Wu, Xun & Shi, Jianchu & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2023. "Optimizing fertigation schemes based on root distribution," Agricultural Water Management, Elsevier, vol. 275(C).
    19. Moncef, Hammami & Khemaies, Zayani, 2016. "An analytical approach to predict the moistened bulb volume beneath a surface point source," Agricultural Water Management, Elsevier, vol. 166(C), pages 123-129.
    20. Mailhol, Jean Claude & Ruelle, Pierre & Walser, Sabine & Schütze, Niels & Dejean, Cyril, 2011. "Analysis of AET and yield predictions under surface and buried drip irrigation systems using the Crop Model PILOTE and Hydrus-2D," Agricultural Water Management, Elsevier, vol. 98(6), pages 1033-1044, April.

    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:spr:waterr:v:28:y:2014:i:15:p:5231-5246. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.