IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v146y2014icp105-114.html
   My bibliography  Save this article

Numerical simulation of water flow in tile and mole drainage systems

Author

Listed:
  • Filipović, Vilim
  • Mallmann, Fábio Joel Kochem
  • Coquet, Yves
  • Šimůnek, Jirka

Abstract

Tile drainage systems are sometimes not sufficient to provide favorable unsaturated conditions in the rootzone. These drainage systems then need to be supplemented with an additional high conductivity material in the trenches above the tiles or by implementing mole drainage. The HYDRUS (2D/3D) model was used to evaluate the impact of such additional measures for heavy clay soil. Three types of drainage systems were simulated: (i) tile drains, (ii) tile drains with gravel trenches, and (iii) tile drains with gravel trenches and mole drains, using either two-dimensional (the former two systems) or three-dimensional (the latter one) transport domains. Three scenarios were considered to test the efficiency of each system: (i) time to drain an initially saturated system, (ii) high intensity rainfall, and (iii) a real case scenario. Different horizontal spacings between tile drains with or without gravel trenches were also compared with the system which included mole drainage. The results showed that the drainage system that included mole drains and gravel trenches was the most efficient. This system provided the largest drainage rate, was the first to reach steady-state in the time to drain scenario, and also efficiently reduced surface runoff. Adding mole drains to a system with tile drains and gravel trenches resulted in a large reduction of surface runoff (75%). Simulations showed that the spacing of tile drains with or without gravel trenches would have to be 40% or 55% smaller, respectively, in order to reproduce the same water table levels as those observed for the drainage system with mole drains. Therefore, introducing mole drains in drainage systems is an efficient practice for reducing waterlogging and runoff.

Suggested Citation

  • Filipović, Vilim & Mallmann, Fábio Joel Kochem & Coquet, Yves & Šimůnek, Jirka, 2014. "Numerical simulation of water flow in tile and mole drainage systems," Agricultural Water Management, Elsevier, vol. 146(C), pages 105-114.
  • Handle: RePEc:eee:agiwat:v:146:y:2014:i:c:p:105-114
    DOI: 10.1016/j.agwat.2014.07.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377414002194
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2014.07.020?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. Harris, G. L., 1984. "Effect of mole submergence on the life of mole channels," Agricultural Water Management, Elsevier, vol. 8(4), pages 361-374, February.
    2. Harris, G. L. & Catt, J. A. & Bromilow, R. H. & Armstrong, A. C., 2000. "Evaluating pesticide leaching models: the Brimstone Farm dataset," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 75-83, May.
    3. Armstrong, Adrian & Aden, Karin & Amraoui, Nadia & Diekkruger, Bernd & Jarvis, Nick & Mouvet, Christophe & Nicholls, Peter & Wittwer, Caroline, 2000. "Comparison of the performance of pesticide-leaching models on a cracking clay soil: results using the Brimstone Farm dataset," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 85-104, May.
    4. Singh, R. & Helmers, M.J. & Qi, Zhiming, 2006. "Calibration and validation of DRAINMOD to design subsurface drainage systems for Iowa's tile landscapes," Agricultural Water Management, Elsevier, vol. 85(3), pages 221-232, 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. Wen, Yeqiang & Shang, Songhao & Rahman, Khalil Ur & Xia, Yuhong & Ren, Dongyang, 2020. "A semi-distributed drainage model for monthly drainage water and salinity simulation in a large irrigation district in arid region," Agricultural Water Management, Elsevier, vol. 230(C).
    2. Feng, Genxiang & Zhu, Chengli & Wu, Qingfeng & Wang, Ce & Zhang, Zhanyu & Mwiya, Richwell Mubita & Zhang, Li, 2021. "Evaluating the impacts of saline water irrigation on soil water-salt and summer maize yield in subsurface drainage condition using coupled HYDRUS and EPIC model," Agricultural Water Management, Elsevier, vol. 258(C).
    3. Tao, Yuan & Li, Na & Wang, Shaoli & Chen, Haorui & Guan, Xiaoyan & Ji, Mengzhe, 2021. "Simulation study on performance of nitrogen loss of an improved subsurface drainage system for one-time drainage using HYDRUS-2D," Agricultural Water Management, Elsevier, vol. 246(C).
    4. Zhe Wu & Chenyao Guo & Haoyu Yang & Hang Li & Jingwei Wu, 2022. "Experimentally Based Numerical Simulation of the Influence of the Agricultural Subsurface Drainage Pipe Geometric Structure on Drainage Flow," Agriculture, MDPI, vol. 12(12), pages 1-19, December.
    5. Ren, Xiaolei & Wang, Shaoli & Yang, Peiling & Tao, Yuan, 2023. "Experimental and modeling evaluation of siphon-type subsurface drainage performance in flooding and waterlogging removal," Agricultural Water Management, Elsevier, vol. 275(C).
    6. Tao, Yuan & Wang, Shaoli & Xu, Di & Yuan, Hongwei & Chen, Haorui, 2017. "Field and numerical experiment of an improved subsurface drainage system in Huaibei plain," Agricultural Water Management, Elsevier, vol. 194(C), pages 24-32.
    7. Häggblom, Olle & Salo, Heidi & Turunen, Mika & Nurminen, Jyrki & Alakukku, Laura & Myllys, Merja & Koivusalo, Harri, 2019. "Impacts of supplementary drainage on the water balance of a poorly drained agricultural field," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    8. Singh, Ajay, 2019. "Poor-drainage-induced salinization of agricultural lands: Management through structural measures," Land Use Policy, Elsevier, vol. 82(C), pages 457-463.
    9. Tao, Yuan & Wang, Shaoli & Xu, Di & Guan, Xiaoyan & Ji, Mengzhe & Liu, Jing, 2019. "Theoretical analysis and experimental verification of the improved subsurface drainage discharge with ponded water," Agricultural Water Management, Elsevier, vol. 213(C), pages 546-553.

    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. Vanclooster, M. & Boesten, J. J. T. I. & Trevisan, M. & Brown, C. D. & Capri, E. & Eklo, O. M. & Gottesburen, B. & Gouy, V. & van der Linden, A. M. A., 2000. "A European test of pesticide-leaching models: methodology and major recommendations," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 1-19, May.
    2. Aden, K. & Diekkruger, B., 2000. "Modeling pesticide dynamics of four different sites using the model system SIMULAT," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 337-355, May.
    3. Armstrong, A. C. & Matthews, A. M. & Portwood, A. M. & Leeds-Harrison, P. B. & Jarvis, N. J., 2000. "CRACK-NP: a pesticide leaching model for cracking clay soils," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 183-199, May.
    4. Salazar, Osvaldo & Wesström, Ingrid & Youssef, Mohamed A. & Skaggs, R. Wayne & Joel, Abraham, 2009. "Evaluation of the DRAINMOD-N II model for predicting nitrogen losses in a loamy sand under cultivation in south-east Sweden," Agricultural Water Management, Elsevier, vol. 96(2), pages 267-281, February.
    5. Negm, L.M. & Youssef, M.A. & Skaggs, R.W. & Chescheir, G.M. & Jones, J., 2014. "DRAINMOD–DSSAT model for simulating hydrology, soil carbon and nitrogen dynamics, and crop growth for drained crop land," Agricultural Water Management, Elsevier, vol. 137(C), pages 30-45.
    6. Matinzadeh, Mohammad Mehdi & Abedi Koupai, Jahangir & Sadeghi-Lari, Adnan & Nozari, Hamed & Shayannejad, Mohammad, 2017. "Development of an innovative integrated model for the simulation of nitrogen dynamics in farmlands with drainage systems using the system dynamics approach," Ecological Modelling, Elsevier, vol. 347(C), pages 11-28.
    7. Qian, Yingzhi & Zhu, Yan & Ye, Ming & Huang, Jiesheng & Wu, Jingwei, 2021. "Experiment and numerical simulation for designing layout parameters of subsurface drainage pipes in arid agricultural areas," Agricultural Water Management, Elsevier, vol. 243(C).
    8. Nicholls, P. H. & Harris, G. L. & Brockie, D., 2000. "Simulation of pesticide leaching at Vredepeel and Brimstone farm using the macropore model PLM," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 307-315, May.
    9. Qi, Zhiming & Singh, Ranvir & Helmers, Matthew J. & Zhou, Xiaobo, 2015. "Evaluating the performance of DRAINMOD using soil hydraulic parameters derived by various methods," Agricultural Water Management, Elsevier, vol. 155(C), pages 48-52.
    10. Liang, Hao & Qi, Zhiming & Hu, Kelin & Li, Baoguo & Prasher, Shiv O., 2018. "Modelling subsurface drainage and nitrogen losses from artificially drained cropland using coupled DRAINMOD and WHCNS models," Agricultural Water Management, Elsevier, vol. 195(C), pages 201-210.
    11. Turunen, M. & Warsta, L. & Paasonen-Kivekäs, M. & Nurminen, J. & Myllys, M. & Alakukku, L. & Äijö, H. & Puustinen, M. & Koivusalo, H., 2013. "Modeling water balance and effects of different subsurface drainage methods on water outflow components in a clayey agricultural field in boreal conditions," Agricultural Water Management, Elsevier, vol. 121(C), pages 135-148.
    12. Ale, Srinivasulu & Gowda, Prasanna H. & Mulla, David J. & Moriasi, Daniel N. & Youssef, Mohamed A., 2013. "Comparison of the performances of DRAINMOD-NII and ADAPT models in simulating nitrate losses from subsurface drainage systems," Agricultural Water Management, Elsevier, vol. 129(C), pages 21-30.
    13. Tuohy, P. & Humphreys, J. & Holden, N.M. & Fenton, O., 2016. "Runoff and subsurface drain response from mole and gravel mole drainage across episodic rainfall events," Agricultural Water Management, Elsevier, vol. 169(C), pages 129-139.
    14. Revuelta-Acosta, J.D. & Flanagan, D.C. & Engel, B.A. & King, K.W., 2021. "Improvement of the Water Erosion Prediction Project (WEPP) model for quantifying field scale subsurface drainage discharge," Agricultural Water Management, Elsevier, vol. 244(C).
    15. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2016. "Optimizing regional irrigation water use by integrating a two-level optimization model and an agro-hydrological model," Agricultural Water Management, Elsevier, vol. 178(C), pages 76-88.
    16. Qi, Zhiming & Helmers, Matthew J. & Kaleita, Amy L., 2011. "Soil water dynamics under various agricultural land covers on a subsurface drained field in north-central Iowa, USA," Agricultural Water Management, Elsevier, vol. 98(4), pages 665-674, February.
    17. Salazar, Osvaldo & Wesström, Ingrid & Joel, Abraham, 2008. "Evaluation of DRAINMOD using saturated hydraulic conductivity estimated by a pedotransfer function model," Agricultural Water Management, Elsevier, vol. 95(10), pages 1135-1143, October.
    18. Singh, R. & Helmers, M.J. & Crumpton, W.G. & Lemke, D.W., 2007. "Predicting effects of drainage water management in Iowa's subsurface drained landscapes," Agricultural Water Management, Elsevier, vol. 92(3), pages 162-170, September.
    19. Armstrong, Adrian & Aden, Karin & Amraoui, Nadia & Diekkruger, Bernd & Jarvis, Nick & Mouvet, Christophe & Nicholls, Peter & Wittwer, Caroline, 2000. "Comparison of the performance of pesticide-leaching models on a cracking clay soil: results using the Brimstone Farm dataset," Agricultural Water Management, Elsevier, vol. 44(1-3), pages 85-104, May.
    20. Ghane, Ehsan & Askar, Manal H., 2021. "Predicting the effect of drain depth on profitability and hydrology of subsurface drainage systems across the eastern USA," Agricultural Water Management, Elsevier, vol. 258(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:146:y:2014:i:c:p:105-114. 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.