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Field measurement of groundwater recharge under irrigation in Canterbury, New Zealand, using drainage lysimeters

Author

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  • Duncan, M.J.
  • Srinivasan, M.S.
  • McMillan, H.

Abstract

Irrigation using groundwater in Canterbury, New Zealand, is reaching sustainable limits and to assist with water allocation a better understanding of groundwater recharge from irrigated agriculture is required. To help characterise groundwater recharge from irrigated pasture, three sets of three drainage lysimeters were installed in three irrigated dairy farms in Canterbury, New Zealand. Two farms have free draining, shallow, stony soils over gravel and the third site has a deep silt loam. The sites are spread across three landscape positions within the Canterbury Plains–foot-hill, mid plains and coastal plains. Average annual rainfall during the study period (2010–13) at the sites varied between 633mm (coastal plain) and 891mm (foothill). Irrigation management varied among the farms. Irrigation applications increased as actual evaporation increased and ranged from 144 to 445mm/season (September–April). Drainage tended to increase with annual rainfall and most (70%) occurred in the winter (May–August). Drainage from the shallow stony soils and deep silt loams averaged 33 and 18% respectively of total precipitation (irrigation plus rainfall), a similar percentage to those reported from dryland lysimeters studies in this region. However, as the total precipitation on the irrigated sites is greater than rainfall in the dryland studies, irrigated agriculture had more drainage. This implies that irrigation of dryland will result in more recharge, but in much of Canterbury efficient centre pivot irrigators have replaced border dyke flood irrigation that has very high recharge rates, so there may be an overall reduction in recharge.

Suggested Citation

  • Duncan, M.J. & Srinivasan, M.S. & McMillan, H., 2016. "Field measurement of groundwater recharge under irrigation in Canterbury, New Zealand, using drainage lysimeters," Agricultural Water Management, Elsevier, vol. 166(C), pages 17-32.
    • Handle: RePEc:eee:agiwat:v:166:y:2016:i:c:p:17-32
    DOI: 10.1016/j.agwat.2015.12.002
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    References listed on IDEAS

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    1. Matthew Rodell & Isabella Velicogna & James S. Famiglietti, 2009. "Satellite-based estimates of groundwater depletion in India," Nature, Nature, vol. 460(7258), pages 999-1002, August.
    2. Li, Hongjun & Zheng, Li & Lei, Yuping & Li, Chunqiang & Liu, Zhijun & Zhang, Shengwei, 2008. "Estimation of water consumption and crop water productivity of winter wheat in North China Plain using remote sensing technology," Agricultural Water Management, Elsevier, vol. 95(11), pages 1271-1278, November.
    3. Arauzo, M. & Martínez-Bastida, J.J. & Valladolid, M. & Díez, J.A., 2010. "Field evaluation of Gee Passive Capillary Lysimeters for monitoring drainage in non-gravelly and gravelly alluvial soils: A useful tool to estimate nitrogen leaching from agriculture," Agricultural Water Management, Elsevier, vol. 97(3), pages 465-474, March.
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    Cited by:

    1. Dench, William E. & Morgan, Leanne K., 2021. "Unintended consequences to groundwater from improved irrigation efficiency: Lessons from the Hinds-Rangitata Plain, New Zealand," Agricultural Water Management, Elsevier, vol. 245(C).
    2. Doug J. Booker & Ton H. Snelder, 2023. "Climate change and local anthropogenic activities have altered river flow regimes across Canterbury, New Zealand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2657-2674, May.
    3. Graham, Scott L. & Laubach, Johannes & Hunt, John E. & Eger, Andre & Carrick, Sam & Whitehead, David, 2019. "Predicting soil water balance for irrigated and non-irrigated lucerne on stony, alluvial soils," Agricultural Water Management, Elsevier, vol. 226(C).
    4. Qiu, Rangjian & Li, Longan & Liu, Chunwei & Wang, Zhenchang & Zhang, Baozhong & Liu, Zhandong, 2022. "Evapotranspiration estimation using a modified crop coefficient model in a rotated rice-winter wheat system," Agricultural Water Management, Elsevier, vol. 264(C).
    5. Er-Raki, S. & Ezzahar, J. & Merlin, O. & Amazirh, A. & Hssaine, B. Ait & Kharrou, M.H. & Khabba, S. & Chehbouni, A., 2021. "Performance of the HYDRUS-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco," Agricultural Water Management, Elsevier, vol. 244(C).
    6. Graham, Scott L. & Laubach, Johannes & Hunt, John E. & Mudge, Paul L. & Nuñez, Jonathan & Rogers, Graeme N.D. & Buxton, Rowan P. & Carrick, Sam & Whitehead, David, 2022. "Irrigation and grazing management affect leaching losses and soil nitrogen balance of lucerne," Agricultural Water Management, Elsevier, vol. 259(C).
    7. Graham, Scott L. & Kochendorfer, John & McMillan, Andrew M.S. & Duncan, Maurice J. & Srinivasan, M.S. & Hertzog, Gladys, 2016. "Effects of agricultural management on measurements, prediction, and partitioning of evapotranspiration in irrigated grasslands," Agricultural Water Management, Elsevier, vol. 177(C), pages 340-347.
    8. M. Babaei & H. Ketabchi, 2022. "Determining Groundwater Recharge Rate with a Distributed Model and Remote Sensing Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5401-5423, November.

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