Irrigation, crop stress and drainage reduction under uncertainty: A scenario study

https://doi.org/10.1016/j.agwat.2019.105990Get rights and content
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Highlights

  • A methodological framework was developed to explore irrigation and drainage reduction under sources of uncertainty.

  • Monte Carlo analysis was used to address uncertain variations in soil and daily evapotranspiration.

  • We present four case studies with different uncertainty scenarios.

  • Water use and drainage can be reduced if a small risk of crop stress is accepted.

  • Certain irrigation strategy predictions advocate the importance of reduced uncertainty.

Abstract

Two thirds of human water use is linked to agricultural practices including crop irrigation. Furthermore, excess irrigation leads to drainage problems. For this reason, reduced irrigation strategies need to be implemented to protect water resources. However, low irrigation may lead to crop water stress. A fast and inexpensive way to predict the necessary amount of irrigation required is by a model-based approach. With this approach, it is possible to explore the relation between irrigation, crop water stress and drainage. However, parameter uncertainty can reduce prediction accuracy. Therefore, the aims of this research were: (1) to develop and test a methodology that allows the analysis of uncertainty sources in irrigation strategies (2) to identify how much irrigation can be reduced while maintaining a low risk of crop stress, and (3) to explore the influence of uncertainty in soil parameters and evapotranspiration on model predictions. Results from a realistic case considered in this study indicated that, while maintaining a low risk of crop stress (<1 %), it is possible to reduce drainage (by 88 %) and water use (22 %) for a conventional irrigation strategy. This reduction is dependent on the type of risk aversion strategy and is specific for a case scenario where variations are certain.

Keywords

Hydraulic conductivity
Monte Carlo
Uncertainty
Richards equation
Evapotranspiration

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