Optimal irrigation management strategies under weather uncertainty and risk

Climate change will affect agricultural production through changes in water supply, such that optimal irrigation management strategies gain importance. For the Marchfeld region, we firstly analyze with a stochastic dynamic programming approach the probability of investing into either a water-saving drip or a sprinkler irrigation system until 2040. Secondly, we develop optimal irrigation management portfolios for different degrees of risk aversion using climate data from a statistical model and the simulations for specific crops of the biophysical process model EPIC (Environmental Policy Integrated Climate). Investment in drip irrigation systems is not profitable. Sprinkler irrigation has a positive probability of being adopted for the production of sugar beets and carrots and therefore mostly shows a 100% share in the portfolio optimization.
KEYWORDS: Irrigation management; Precipitation uncertainty; EPIC; Stochastic dynamic programming approach; Portfolio Optimization

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