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| Titel |
Optimal control strategies for deficit irrigation systems under different climate conditions |
| VerfasserIn |
Niels Schuetze, Michael Wagner |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250154041
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| Publikation (Nr.) |
 EGU/EGU2017-19087.pdf |
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| Zusammenfassung |
| In this contribution, the suitability of different control strategies for the operation of irrigation systems under limited water and different climate conditions is investigated. To treat the climate uncertainty within a simulation optimization framework for irrigation management we formulated a probabilistic framework that is based on Monte Carlo simulations. Thus, results show which control strategy can ensure food security since higher quantiles (90% and above) are of interest. This study also demonstrates the efficiency of a stack-ordering technique for generating high productive irrigation schedules which is based on statistically appropriate sample sizes and a reliable optimal management. |
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