IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v131y2014icp17-29.html
   My bibliography  Save this article

Simulation of the redistribution and fate of contaminants from soil-injected animal slurry

Author

Listed:
  • Amin, M.G. Mostofa
  • Šimůnek, Jirka
  • Lægdsmand, Mette

Abstract

Spreading of contaminants from land-applied animal slurry may create hazard for both soil and water environments. Both the leaching and persistence of the contaminants is controlled by the redistribution of the contaminants immediately after application, while the redistribution is influenced by site conditions (here different slurry dry matter content and soil texture). HYDRUS-2D was used to simulate the redistribution of water, chloride, mineral N, Salmonella Typhimurium Bacteriophage 28B (phage), Escherichia coli, and steroid hormone estrogens near the slurry injection slit over a 50-day period after slurry injection at two field sites (Silstrup and Estrup) in Denmark to estimate the controlling transport and reaction parameters based on field measurements of the contaminants. The calibrated model was thereafter used to predict the leaching potential into the subsoil. The simulations confirmed that the higher water contents measured in the slurry application slit were due to a change in the hydraulic parameters. Chloride was redistributed considerably beyond the sampled soil profile at Estrup, but not at Silstrup, which had lower hydraulic conductivities than Estrup. Average size of the microorganisms affected their mobility; the bigger the size, the higher was the effect of the site conditions. The sorption coefficient of estrogens for slurry-amended soil was remarkably lower than that for unamended soil. The study suggests that dissolved organic carbon retained in slurry can facilitate the transport of contaminants. E. coli, phage, and estrogens were vulnerable to leaching from the very first precipitation event after the slurry application, whereas mineral N started to leach when NO3-N accumulated. Model predictions suggest that there are potential risks of leaching of these contaminants from the top soil to the subsoil associated with the land-injected slurry.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:agiwat:v:131:y:2014:i:c:p:17-29
    DOI: 10.1016/j.agwat.2013.09.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377413002436
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2013.09.002?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. Kandelous, Maziar M. & Simunek, Jirí, 2010. "Numerical simulations of water movement in a subsurface drip irrigation system under field and laboratory conditions using HYDRUS-2D," Agricultural Water Management, Elsevier, vol. 97(7), pages 1070-1076, July.
    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. Crevoisier, D. & Popova, Z. & Mailhol, J.C. & Ruelle, P., 2008. "Assessment and simulation of water and nitrogen transfer under furrow irrigation," Agricultural Water Management, Elsevier, vol. 95(4), pages 354-366, April.
    4. Coffey, R. & Cummins, E. & Bhreathnach, N. & Flaherty, V.O. & Cormican, M., 2010. "Development of a pathogen transport model for Irish catchments using SWAT," Agricultural Water Management, Elsevier, vol. 97(1), pages 101-111, January.
    5. Pachepsky, Y.A. & Sadeghi, A.M. & Bradford, S.A. & Shelton, D.R. & Guber, A.K. & Dao, T., 2006. "Transport and fate of manure-borne pathogens: Modeling perspective," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 81-92, November.
    6. Doltra, J. & Muñoz, P., 2010. "Simulation of nitrogen leaching from a fertigated crop rotation in a Mediterranean climate using the EU-Rotate_N and Hydrus-2D models," Agricultural Water Management, Elsevier, vol. 97(2), pages 277-285, February.
    7. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.
    8. Wang, Huanyuan & Ju, Xiaotang & Wei, Yongping & Li, Baoguo & Zhao, Lulu & Hu, Kelin, 2010. "Simulation of bromide and nitrate leaching under heavy rainfall and high-intensity irrigation rates in North China Plain," Agricultural Water Management, Elsevier, vol. 97(10), pages 1646-1654, October.
    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. Iqbal, Shahid & Guber, Andrey K. & Khan, Haroon Zaman, 2016. "Estimating nitrogen leaching losses after compost application in furrow irrigated soils of Pakistan using HYDRUS-2D software," Agricultural Water Management, Elsevier, vol. 168(C), pages 85-95.

    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. 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.
    2. Karandish, Fatemeh & Šimůnek, Jiří, 2018. "An application of the water footprint assessment to optimize production of crops irrigated with saline water: A scenario assessment with HYDRUS," Agricultural Water Management, Elsevier, vol. 208(C), pages 67-82.
    3. 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.
    4. Karandish, Fatemeh & Šimůnek, Jiří, 2016. "A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies," Agricultural Water Management, Elsevier, vol. 178(C), pages 291-303.
    5. 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.
    6. 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.
    7. Wang, Jun & Huang, Guanhua & Zhan, Hongbin & Mohanty, Binayak P. & Zheng, Jianhua & Huang, Quanzhong & Xu, Xu, 2014. "Evaluation of soil water dynamics and crop yield under furrow irrigation with a two-dimensional flow and crop growth coupled model," Agricultural Water Management, Elsevier, vol. 141(C), pages 10-22.
    8. Grecco, Katarina L. & Miranda, Jarbas H. de & Silveira, Laís K. & van Genuchten, Martinus Th., 2019. "HYDRUS-2D simulations of water and potassium movement in drip irrigated tropical soil container cultivated with sugarcane," Agricultural Water Management, Elsevier, vol. 221(C), pages 334-347.
    9. Iqbal, Shahid & Guber, Andrey K. & Khan, Haroon Zaman, 2016. "Estimating nitrogen leaching losses after compost application in furrow irrigated soils of Pakistan using HYDRUS-2D software," Agricultural Water Management, Elsevier, vol. 168(C), pages 85-95.
    10. Haghnazari, Farzad & Karandish, Fatemeh & Darzi-Naftchali, Abdullah & Šimůnek, Jiří, 2020. "Dynamic assessment of the impacts of global warming on nitrate losses from a subsurface-drained rainfed-canola field," Agricultural Water Management, Elsevier, vol. 242(C).
    11. 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).
    12. Arbat, G. & Roselló, A. & Domingo Olivé, F. & Puig-Bargués, J. & González Llinàs, E. & Duran-Ros, M. & Pujol, J. & Ramírez de Cartagena, F., 2013. "Soil water and nitrate distribution under drip irrigated corn receiving pig slurry," Agricultural Water Management, Elsevier, vol. 120(C), pages 11-22.
    13. Bai, Yu & Gao, Jinhua, 2021. "Optimization of the nitrogen fertilizer schedule of maize under drip irrigation in Jilin, China, based on DSSAT and GA," Agricultural Water Management, Elsevier, vol. 244(C).
    14. He, Qinsi & Li, Sien & Kang, Shaozhong & Yang, Hanbo & Qin, Shujing, 2018. "Simulation of water balance in a maize field under film-mulching drip irrigation," Agricultural Water Management, Elsevier, vol. 210(C), pages 252-260.
    15. 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.
    16. Bristow, Keith L. & Šimůnek, Jirka & Helalia, Sarah A. & Siyal, Altaf A., 2020. "Numerical simulations of the effects furrow surface conditions and fertilizer locations have on plant nitrogen and water use in furrow irrigated systems," Agricultural Water Management, Elsevier, vol. 232(C).
    17. Kim, Jung-Woo & Pachepsky, Yakov A. & Shelton, Daniel R. & Coppock, Cary, 2010. "Effect of streambed bacteria release on E. coli concentrations: Monitoring and modeling with the modified SWAT," Ecological Modelling, Elsevier, vol. 221(12), pages 1592-1604.
    18. 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.
    19. Percy, A. Jemila & Edwin, M., 2023. "Studies on the performance and emission characteristics of a dual fuel VCR engine using producer gas as secondary fuel: An optimization approach using response surface methodology," Energy, Elsevier, vol. 263(PA).
    20. Pedras, C.M.G. & Pereira, L.S. & Gonalves, J.M., 2009. "MIRRIG: A decision support system for design and evaluation of microirrigation systems," Agricultural Water Management, Elsevier, vol. 96(4), pages 691-701, 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:eee:agiwat:v:131:y:2014:i:c:p:17-29. 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.