Optimization of Triggered Irrigation Using a System-Dependent Boundary Condition in HYDRUS (2D/3D)

Sharon Dabach, Jirka Simunek Jiri, Alon Ben-Gal, Jianchu Shi, Naftali Lazarovitch

Research output: Contribution to conferencePaperpeer-review

Abstract

Improving the sustainability of irrigation systems requires the optimization of relevant operational parameters, such as the irrigation threshold, the irrigation amount, and the sensor location. However, little work has been done to investigate the relationship between irrigation scheduling, irrigation threshold, water salinity, irrigation amount, and their dependence on the sensor location. Optimization of these parameters using field experiments would require numerous experiments, time, and work. Instead, in this paper, we propose the use of the HYDRUS (2D/3D) model as a tool for investigating different scenarios that occur in the field.
Original languageEnglish
StatePublished - 21 Mar 2013

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