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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

Author

Listed:
  • Xu, Xu
  • Huang, Guanhua
  • Sun, Chen
  • Pereira, Luis S.
  • Ramos, Tiago B.
  • Huang, Quanzhong
  • Hao, Yuanyuan

Abstract

The irrigation districts of the upper Yellow River basin face a progressive reduction of water allocation and the need to apply water-saving practices due to increasing water scarcity. The adoption of such practices will lead to lower water tables, hopefully in conjunction with controlled soil salinity levels and improved crop yields. However, excessive water saving associated with excessive increase of the water table depth may decrease capillary rise and affect crop production. In view of understanding the related processes in Qingtongxia Irrigation District, the physically based agro-hydrological model, SWAP, was adopted to explore the response of soil water and solute dynamics, and crop yield to water table changes. With this purpose, SWAP was modified through the inclusion of a simplified crop growth module, a method of variable active-nodes, and a nonlinear osmotic head-dependent function for a better description of the effects of salinity stress on root water uptake. The model was calibrated and validated using wheat's experimental data from 2007 and 2008. Simulations of soil water content, salinity concentration, biomass, and crop yield fitted well with field observations. The calibrated model was then used to predict changes in crop yield, soil water dynamics and soil salinity considering scenarios with different groundwater depths and irrigation strategies. The present irrigation strategy favors salt leaching even when considering the increase of water table depth that results in small crop yield reduction (<6%) due to salt stress. The 80% and 60% reduced irrigation strategies led to increased soil salinity and, eventually, crop yield reductions of 6–14% and 13–21%, respectively, when the depth of the water table increased. A target groundwater depth of 1.0–1.5m is suggested to be optimal for wheat's growth season with the aim of maintaining crop yields under the present conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agiwat:v:125:y:2013:i:c:p:46-60
    DOI: 10.1016/j.agwat.2013.04.004
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    1. Skaggs, Todd H. & van Genuchten, Martinus Th. & Shouse, Peter J. & Poss, James A., 2006. "Macroscopic approaches to root water uptake as a function of water and salinity stress," Agricultural Water Management, Elsevier, vol. 86(1-2), pages 140-149, November.
    2. 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.
    3. Xu Xu & Guanhua Huang & Zhongyi Qu & Luis Pereira, 2011. "Using MODFLOW and GIS to Assess Changes in Groundwater Dynamics in Response to Water Saving Measures in Irrigation Districts of the Upper Yellow River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(8), pages 2035-2059, June.
    4. Homaee, M. & Dirksen, C. & Feddes, R. A., 2002. "Simulation of root water uptake: I. Non-uniform transient salinity using different macroscopic reduction functions," Agricultural Water Management, Elsevier, vol. 57(2), pages 89-109, October.
    5. Stockle, Claudio O. & Williams, Jimmy R. & Rosenberg, Norman J. & Jones, C. Allan, 1992. "A method for estimating the direct and climatic effects of rising atmospheric carbon dioxide on growth and yield of crops: Part I--Modification of the EPIC model for climate change analysis," Agricultural Systems, Elsevier, vol. 38(3), pages 225-238.
    6. Sepaskhah, A. R. & Kanooni, A. & Ghasemi, M. M., 2003. "Estimating water table contributions to corn and sorghum water use," Agricultural Water Management, Elsevier, vol. 58(1), pages 67-79, January.
    7. Xu, Xu & Huang, Guanhua & Qu, Zhongyi & Pereira, Luis S., 2010. "Assessing the groundwater dynamics and impacts of water saving in the Hetao Irrigation District, Yellow River basin," Agricultural Water Management, Elsevier, vol. 98(2), pages 301-313, December.
    8. Yu, Ruihong & Liu, Tingxi & Xu, Youpeng & Zhu, Chao & Zhang, Qing & Qu, Zhongyi & Liu, Xiaomin & Li, Changyou, 2010. "Analysis of salinization dynamics by remote sensing in Hetao Irrigation District of North China," Agricultural Water Management, Elsevier, vol. 97(12), pages 1952-1960, November.
    9. Goncalves, J.M. & Pereira, L.S. & Fang, S.X. & Dong, B., 2007. "Modelling and multicriteria analysis of water saving scenarios for an irrigation district in the upper Yellow River Basin," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 93-108, December.
    10. Noory, H. & van der Zee, S.E.A.T.M. & Liaghat, A.-M. & Parsinejad, M. & van Dam, J.C., 2011. "Distributed agro-hydrological modeling with SWAP to improve water and salt management of the Voshmgir Irrigation and Drainage Network in Northern Iran," Agricultural Water Management, Elsevier, vol. 98(6), pages 1062-1070, April.
    11. Verma, A.K. & Gupta, S.K. & Isaac, R.K., 2012. "Use of saline water for irrigation in monsoon climate and deep water table regions: Simulation modeling with SWAP," Agricultural Water Management, Elsevier, vol. 115(C), pages 186-193.
    12. Homaee, M. & Feddes, R. A. & Dirksen, C., 2002. "Simulation of root water uptake: II. Non-uniform transient water stress using different reduction functions," Agricultural Water Management, Elsevier, vol. 57(2), pages 111-126, October.
    13. Shouse, Peter J. & Ayars, James E. & Simunek, Jirí, 2011. "Simulating root water uptake from a shallow saline groundwater resource," Agricultural Water Management, Elsevier, vol. 98(5), pages 784-790, March.
    14. Vazifedoust, M. & van Dam, J.C. & Feddes, R.A. & Feizi, M., 2008. "Increasing water productivity of irrigated crops under limited water supply at field scale," Agricultural Water Management, Elsevier, vol. 95(2), pages 89-102, February.
    15. 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.
    16. 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.
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