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A simulation model for estimating root zone saturation indices of agricultural crops in a shallow aquifer and canal system

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  • Zhang, Meijing
  • Migliaccio, Kati W.
  • Her, Young Gu
  • Schaffer, Bruce

Abstract

Shallow aquifers significantly impact crop growth as saturated soil conditions may occur. Canals are widely constructed in such areas to mitigate groundwater saturation or flooding. We applied a simulation model to estimate the occurrence of root zone saturation [root zone saturation index (RZSI)] for agricultural crops and to identify factors that influence root zone saturation in a shallow coastal aquifer and canal system. Results indicated that groundwater modeling combined with multiple linear regression can relate the influencing factors and root zone saturation durations in low lying farmland adjacent to canal systems. In our study, most areas had a low RZSI, but areas towards the northwest and southeast where the land surface elevation is generally low were predicted to have a greater RZSI. In general, positive correlations were found between the root zone saturation durations and rainfall amount, antecedent groundwater table elevation and average canal stages in areas where the higher RZSIs were predicted. Rainfall amount played a more important role than antecedent groundwater table elevation and canal stage in determining the root zone saturation during the wet season, while antecedent groundwater table elevation and canal stage played a more important role than rainfall amount during dry season. Correlations between the predicted root zone saturation duration and land surface elevation were negative and stronger during the wet season than the dry season, and the correlations were stronger in the deep (0–61 cm) root zone than with the shallow (0–18 cm) root zone. In area where the land surface elevation is relatively high, the root zone saturation duration was not influenced by rainfall amount, antecedent groundwater table elevation or canal stage, at least under the current management practices and climate conditions.

Suggested Citation

  • Zhang, Meijing & Migliaccio, Kati W. & Her, Young Gu & Schaffer, Bruce, 2019. "A simulation model for estimating root zone saturation indices of agricultural crops in a shallow aquifer and canal system," Agricultural Water Management, Elsevier, vol. 220(C), pages 36-49.
    • Handle: RePEc:eee:agiwat:v:220:y:2019:i:c:p:36-49
    DOI: 10.1016/j.agwat.2019.03.044
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    References listed on IDEAS

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    1. Purna Nayak & Y. Rao & K. Sudheer, 2006. "Groundwater Level Forecasting in a Shallow Aquifer Using Artificial Neural Network Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(1), pages 77-90, February.
    2. Kisekka, I. & Migliaccio, K.W. & Muñoz-Carpena, R. & Schaffer, B. & Boyer, T.H. & Li, Y., 2014. "Simulating water table response to proposed changes in surface water management in the C-111 agricultural basin of south Florida," Agricultural Water Management, Elsevier, vol. 146(C), pages 185-200.
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    Cited by:

    1. Deng, Chenda & Bailey, Ryan T., 2020. "Assessing causes and identifying solutions for high groundwater levels in a highly managed irrigated region," Agricultural Water Management, Elsevier, vol. 240(C).
    2. Mao, Wei & Zhu, Yan & Huang, Shuang & Han, Xudong & Sun, Guanfang & Ye, Ming & Yang, Jinzhong, 2024. "Assessment of spatial and temporal seepage losses in large canal systems under current and future water-saving conditions: A case study in the Hetao Irrigation District, China," Agricultural Water Management, Elsevier, vol. 291(C).

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