IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v84y2006i1-2p27-40.html
   My bibliography  Save this article

Fluxes through the bottom boundary of the root zone in silty soils: Parametric approaches to estimate groundwater contribution and percolation

Author

Listed:
  • Liu, Y.
  • Pereira, L.S.
  • Fernando, R.M.

Abstract

No abstract is available for this item.

Suggested Citation

  • Liu, Y. & Pereira, L.S. & Fernando, R.M., 2006. "Fluxes through the bottom boundary of the root zone in silty soils: Parametric approaches to estimate groundwater contribution and percolation," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 27-40, July.
  • Handle: RePEc:eee:agiwat:v:84:y:2006:i:1-2:p:27-40
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(06)00032-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Oluwasemire, K. O. & Stigter, C. J. & Owonubi, J. J. & Jagtap, S. S., 2002. "Seasonal water use and water productivity of millet-based cropping systems in the Nigerian Sudan savanna near Kano," Agricultural Water Management, Elsevier, vol. 56(3), pages 207-227, August.
    2. Panigrahi, B. & Panda, Sudhindra N., 2003. "Field test of a soil water balance simulation model," Agricultural Water Management, Elsevier, vol. 58(3), pages 223-240, February.
    3. Jorenush, M. H. & Sepaskhah, A. R., 2003. "Modelling capillary rise and soil salinity for shallow saline water table under irrigated and non-irrigated conditions," Agricultural Water Management, Elsevier, vol. 61(2), pages 125-141, June.
    4. Liu, Y. & Teixeira, J. L. & Zhang, H. J. & Pereira, L. S., 1998. "Model validation and crop coefficients for irrigation scheduling in the North China plain," Agricultural Water Management, Elsevier, vol. 36(3), pages 233-246, April.
    5. Raes, D. & Deproost, P., 2003. "Model to assess water movement from a shallow water table to the root zone," Agricultural Water Management, Elsevier, vol. 62(2), pages 79-91, September.
    6. Xu, D. & Mermoud, A., 2003. "Modeling the soil water balance based on time-dependent hydraulic conductivity under different tillage practices," Agricultural Water Management, Elsevier, vol. 63(2), pages 139-151, 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. Barnard, J.H. & van Rensburg, L.D. & Bennie, A.T.P. & du Preez, C.C., 2013. "Simulating water uptake of irrigated field crops from non-saline water table soils: Validation and application of the model SWAMP," Agricultural Water Management, Elsevier, vol. 126(C), pages 19-32.
    2. Zhao, Nana & Liu, Yu & Cai, Jiabing & Paredes, Paula & Rosa, Ricardo D. & Pereira, Luis S., 2013. "Dual crop coefficient modelling applied to the winter wheat–summer maize crop sequence in North China Plain: Basal crop coefficients and soil evaporation component," Agricultural Water Management, Elsevier, vol. 117(C), pages 93-105.
    3. 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.
    4. Shang, Songhao & Mao, Xiaomin, 2006. "Application of a simulation based optimization model for winter wheat irrigation scheduling in North China," Agricultural Water Management, Elsevier, vol. 85(3), pages 314-322, October.
    5. Parkes, Martin & Jian, Wang & Knowles, Rupert, 2005. "Peak crop coefficient values for Shaanxi, North-west China," Agricultural Water Management, Elsevier, vol. 73(2), pages 149-168, May.
    6. Nyakudya, Innocent Wadzanayi & Stroosnijder, Leo & Nyagumbo, Isaiah, 2014. "Infiltration and planting pits for improved water management and maize yield in semi-arid Zimbabwe," Agricultural Water Management, Elsevier, vol. 141(C), pages 30-46.
    7. Bin Guo & Weihong Li & Jinyun Guo & Chuanfa Chen, 2015. "Risk Assessment of Regional Irrigation Water Demand and Supply in an Arid Inland River Basin of Northwestern China," Sustainability, MDPI, Open Access Journal, vol. 7(9), pages 1-16, September.
    8. Xu, Xu & Huang, Guanhua & Sun, Chen & Pereira, Luis S. & Ramos, Tiago B. & Huang, Quanzhong & Hao, Yuanyuan, 2013. "Assessing the effects of water table depth on water use, soil salinity and wheat yield: Searching for a target depth for irrigated areas in the upper Yellow River basin," Agricultural Water Management, Elsevier, vol. 125(C), pages 46-60.
    9. Mandal, Uttam Kumar & Victor, U.S. & Srivastava, N.N. & Sharma, K.L. & Ramesh, V. & Vanaja, M. & Korwar, G.R. & Ramakrishna, Y.S., 2007. "Estimating yield of sorghum using root zone water balance model and spectral characteristics of crop in a dryland Alfisol," Agricultural Water Management, Elsevier, vol. 87(3), pages 315-327, February.
    10. Lei Liu & Jianqin Ma & Xiuping Hao & Qingyun Li, 2019. "Limitations of Water Resources to Crop Water Requirement in the Irrigation Districts along the Lower Reach of the Yellow River in China," Sustainability, MDPI, Open Access Journal, vol. 11(17), pages 1-18, August.
    11. Mao, Wei & Yang, Jinzhong & Zhu, Yan & Ye, Ming & Wu, Jingwei, 2017. "Loosely coupled SaltMod for simulating groundwater and salt dynamics under well-canal conjunctive irrigation in semi-arid areas," Agricultural Water Management, Elsevier, vol. 192(C), pages 209-220.
    12. Wei, Zheng & Paredes, Paula & Liu, Yu & Chi, Wei Wei & Pereira, Luis S., 2015. "Modelling transpiration, soil evaporation and yield prediction of soybean in North China Plain," Agricultural Water Management, Elsevier, vol. 147(C), pages 43-53.
    13. Hong, Minki & Lee, Sang-Hyun & Lee, Seung-Jae & Choi, Jin-Yong, 2021. "Application of high-resolution meteorological data from NCAM-WRF to characterize agricultural drought in small-scale farmlands based on soil moisture deficit," Agricultural Water Management, Elsevier, vol. 243(C).
    14. Schwen, Andreas & Bodner, Gernot & Loiskandl, Willibald, 2011. "Time-variable soil hydraulic properties in near-surface soil water simulations for different tillage methods," Agricultural Water Management, Elsevier, vol. 99(1), pages 42-50.
    15. Escarabajal-Henarejos, D. & Molina-Martínez, J.M. & Fernández-Pacheco, D.G. & García-Mateos, G., 2015. "Methodology for obtaining prediction models of the root depth of lettuce for its application in irrigation automation," Agricultural Water Management, Elsevier, vol. 151(C), pages 167-173.
    16. Hong, Eun-Mi & Nam, Won-Ho & Choi, Jin-Yong & Pachepsky, Yakov A., 2016. "Projected irrigation requirements for upland crops using soil moisture model under climate change in South Korea," Agricultural Water Management, Elsevier, vol. 165(C), pages 163-180.
    17. Mastrocicco, M. & Colombani, N. & Salemi, E. & Castaldelli, G., 2010. "Numerical assessment of effective evapotranspiration from maize plots to estimate groundwater recharge in lowlands," Agricultural Water Management, Elsevier, vol. 97(9), pages 1389-1398, September.
    18. Liu, Wei & Fu, Qiang & Meng, Jun & Li, Tianxiao & Cheng, Kun, 2019. "Simulation and analysis of return flow at the field scale in the northern rice irrigation area of China," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    19. Popova, Zornitsa & Pereira, Luis S., 2011. "Modelling for maize irrigation scheduling using long term experimental data from Plovdiv region, Bulgaria," Agricultural Water Management, Elsevier, vol. 98(4), pages 675-683, February.
    20. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2015. "Assessment of irrigation performance and water productivity in irrigated areas of the middle Heihe River basin using a distributed agro-hydrological model," Agricultural Water Management, Elsevier, vol. 147(C), pages 67-81.

    More about this item

    Statistics

    Access and download statistics

    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:84:y:2006:i:1-2:p:27-40. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.elsevier.com/locate/agwat .

    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 hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.