IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v92y2007i1-2p53-63.html
   My bibliography  Save this article

Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations

Author

Listed:
  • Nishat, S.
  • Guo, Y.
  • Baetz, B.W.

Abstract

No abstract is available for this item.

Suggested Citation

  • Nishat, S. & Guo, Y. & Baetz, B.W., 2007. "Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 53-63, August.
    • Handle: RePEc:eee:agiwat:v:92:y:2007:i:1-2:p:53-63
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(07)00115-1
    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. 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.
    2. Kalita, P. K. & Ward, A. D. & Kanwar, R. S. & McCool, D. K., 1998. "Simulation of pesticide concentrations in groundwater using Agricultural Drainage and Pesticide Transport (ADAPT) model," Agricultural Water Management, Elsevier, vol. 36(1), pages 23-44, February.
    3. Coelho, M. B. & Villalobos, F. J. & Mateos, L., 2003. "Modeling root growth and the soil-plant-atmosphere continuum of cotton crops," Agricultural Water Management, Elsevier, vol. 60(2), pages 99-118, May.
    4. McCown, R. L. & Hammer, G. L. & Hargreaves, J. N. G. & Holzworth, D. P. & Freebairn, D. M., 1996. "APSIM: a novel software system for model development, model testing and simulation in agricultural systems research," Agricultural Systems, Elsevier, vol. 50(3), pages 255-271.
    5. Bandyopadhyay, P. K. & Mallick, S., 2003. "Actual evapotranspiration and crop coefficients of wheat (Triticum aestivum) under varying moisture levels of humid tropical canal command area," Agricultural Water Management, Elsevier, vol. 59(1), pages 33-47, March.
    6. Probert, M. E. & Dimes, J. P. & Keating, B. A. & Dalal, R. C. & Strong, W. M., 1998. "APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems," Agricultural Systems, Elsevier, vol. 56(1), pages 1-28, January.
    7. Leon, L. F. & Booty, W. G. & Bowen, G. S. & Lam, D. C. L., 2004. "Validation of an agricultural non-point source model in a watershed in southern Ontario," Agricultural Water Management, Elsevier, vol. 65(1), pages 59-75, February.
    8. Cameira, M. R. & Fernando, R. M. & Pereira, L. S., 2003. "Monitoring water and NO3-N in irrigated maize fields in the Sorraia Watershed, Portugal," Agricultural Water Management, Elsevier, vol. 60(3), pages 199-216, May.
    9. Ng, H. Y. F. & Drury, C. F. & Serem, V. K. & Tan, C. S. & Gaynor, J. D., 2000. "Modeling and testing of the effect of tillage, cropping and water management practices on nitrate leaching in clay loam soil," Agricultural Water Management, Elsevier, vol. 43(1), pages 111-131, February.
    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. Ma, Ying & Feng, Shaoyuan & Song, Xianfang, 2013. "A root zone model for estimating soil water balance and crop yield responses to deficit irrigation in the North China Plain," Agricultural Water Management, Elsevier, vol. 127(C), pages 13-24.
    2. 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).
    3. Jianqiang Deng & Xiaomin Chen & Zhenjie Du & Yong Zhang, 2011. "Soil Water Simulation and Predication Using Stochastic Models Based on LS-SVM for Red Soil Region of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(11), pages 2823-2836, September.
    4. 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.

    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. Thomas, N., 2021. "Alternative Crop Management Methods to Increase Crop Productivity and Farmer Utility," 2021 Conference, August 17-31, 2021, Virtual 315042, International Association of Agricultural Economists.
    2. Farquharson, Robert J. & Cacho, Oscar J. & Mullen, John D., 2005. "An economic approach to soil fertility management for wheat production in New South Wales and Queensland," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137866, Australian Agricultural and Resource Economics Society.
    3. Chauhan, Yashvir S., 2010. "Potential productivity and water requirements of maize-peanut rotations in Australian semi-arid tropical environments--A crop simulation study," Agricultural Water Management, Elsevier, vol. 97(3), pages 457-464, March.
    4. Kodur, S., 2017. "Improving the prediction of soil evaporation for different soil types under dryland cropping," Agricultural Water Management, Elsevier, vol. 193(C), pages 131-141.
    5. Jianqiang Deng & Xiaomin Chen & Zhenjie Du & Yong Zhang, 2011. "Soil Water Simulation and Predication Using Stochastic Models Based on LS-SVM for Red Soil Region of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(11), pages 2823-2836, September.
    6. Masikati, P. & Manschadi, A. & van Rooyen, A. & Hargreaves, J., 2014. "Maize–mucuna rotation: An alternative technology to improve water productivity in smallholder farming systems," Agricultural Systems, Elsevier, vol. 123(C), pages 62-70.
    7. Ahsan Raza & Hella Ahrends & Muhammad Habib-Ur-Rahman & Thomas Gaiser, 2021. "Modeling Approaches to Assess Soil Erosion by Water at the Field Scale with Special Emphasis on Heterogeneity of Soils and Crops," Land, MDPI, vol. 10(4), pages 1-35, April.
    8. Farquharson, Robert J., 2006. "Production Response and Input Demand in Decision Making: Nitrogen Fertilizer and Wheat Growers," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 14.
    9. Chikowo, R. & Corbeels, M. & Tittonell, P. & Vanlauwe, B. & Whitbread, A. & Giller, K.E., 2008. "Aggregating field-scale knowledge into farm-scale models of African smallholder systems: Summary functions to simulate crop production using APSIM," Agricultural Systems, Elsevier, vol. 97(3), pages 151-166, June.
    10. Stewart, L.K. & Charlesworth, P.B. & Bristow, K.L. & Thorburn, P.J., 2006. "Estimating deep drainage and nitrate leaching from the root zone under sugarcane using APSIM-SWIM," Agricultural Water Management, Elsevier, vol. 81(3), pages 315-334, March.
    11. Dokoohaki, Hamze & Miguez, Fernando E. & Archontoulis, Sotirios & Laird, David, 2018. "Use of inverse modelling and Bayesian optimization for investigating the effect of biochar on soil hydrological properties," Agricultural Water Management, Elsevier, vol. 208(C), pages 268-274.
    12. Parsons, David & Nicholson, Charles F. & Blake, Robert W. & Ketterings, Quirine M. & Ramírez-Aviles, Luis & Fox, Danny G. & Tedeschi, Luis O. & Cherney, Jerome H., 2011. "Development and evaluation of an integrated simulation model for assessing smallholder crop-livestock production in Yucatán, Mexico," Agricultural Systems, Elsevier, vol. 104(1), pages 1-12, January.
    13. Snow, V. O. & Bond, W. J. & Myers, B. J. & Theiveyanathan, S. & Smith, C. J. & Benyon, R. G., 1999. "Modelling the water balance of effluent-irrigated trees," Agricultural Water Management, Elsevier, vol. 39(1), pages 47-67, February.
    14. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    15. Yunfeng Li & Quanqing Feng & Dongwei Li & Mingfa Li & Huifeng Ning & Qisheng Han & Abdoul Kader Mounkaila Hamani & Yang Gao & Jingsheng Sun, 2022. "Water-Salt Thresholds of Cotton ( Gossypium hirsutum L.) under Film Drip Irrigation in Arid Saline-Alkali Area," Agriculture, MDPI, vol. 12(11), pages 1-21, October.
    16. El-Naggar, A.G. & Hedley, C.B. & Horne, D. & Roudier, P. & Clothier, B.E., 2020. "Soil sensing technology improves application of irrigation water," Agricultural Water Management, Elsevier, vol. 228(C).
    17. 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.
    18. Qureshi, Muhammad Ejaz & Arunakumaren, J. & Bajracharya, K. & Wegener, Malcolm K. & Qureshi, S.E. & Bristow, Keith L., 2002. "Economic and environmental impacts of groundwater management scenarios in Burdekin Delta," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 125148, Australian Agricultural and Resource Economics Society.
    19. 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.
    20. Tesfamariam, Eyob H. & Annandale, John G. & Steyn, Joachim M. & Stirzaker, Richard J. & Mbakwe, Ikenna, 2015. "Use of the SWB-Sci model for nitrogen management in sludge-amended land," Agricultural Water Management, Elsevier, vol. 152(C), pages 262-276.

    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:92:y:2007:i:1-2:p:53-63. 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.