EURO 2024 Copenhagen
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1034. Model-Based Optimization of Irrigation Water Allocation at the Watershed Scale

Invited abstract in session MA-12: Optimization in Agriculture, stream OR in Agriculture and Forestry .

Monday, 8:30-10:00
Room: 13 (building: 116)

Authors (first author is the speaker)

1. Noam Ouzana
Environmental engineering, Technion
2. Isaya Kisekka
Land, Air and Water Resources, University of California Davis
3. Raphael Linker
The Technion - Israel Instiute of Technology

Abstract

Efficient water resource management in agricultural contexts is a major challenge. The present study focuses on the allocation of irrigation water between competing crops at a watershed scale. The first step of the optimization process includes the division of the area into response units, which assists in maintaining complex modeling with high spatial resolution, while reducing the computation times by avoiding calculations over every pixel. This is done using the well-established SWAT+ model, which predicts, among others , the impact of different management decisions on fields within the watershed. A model-based, multi-objective optimization approach, which seeks to maximize the yield and to minimize the irrigation in each unit, is implemented on each of the response units. A curve is then fitted to the resulting Pareto front providing an estimate of the unit water productivity function (WPF). The estimated WPFs are then used for determining the amount of water that should be allocated to each crop for the next irrigation season through a single-objective optimization process, where the goal is maximizing the economic profit. This optimization framework is applied to the San Joaquin watershed, which is predominantly occupied by agriculture fields and orchards, and relies heavily on irrigation.

Keywords

Status: accepted

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