Optimal irrigation of cotton in northern Greece using AquaCrop: a multi-year simulation study

摘要

A hybrid approach for optimizing irrigation was developed and tested via simulation of cotton cultivation in Northern Greece. At any given day during the season, the remaining cultivation days were conceptually split into two parts: the five coming days and the rest of the season. Accurate weather forecasts were assumed to be available for the first period, during which only one irrigation event could take place. For the second period, average historical weather data were used as long-term forecasts,and rather than optimizing directly the irrigation events, the decision variables corresponded to a number of soil water levels at which irrigation would be triggered and the corresponding irrigation amounts. This hybrid approach ensured that the numberof decision variables remained acceptably small so that the procedure can be computed repeatedly in real time during the season.