Sub-optimal model-based deficit irrigation scheduling with realistic weather forecasts
Autor: | Finn Plauborg, Tiago B. Ramos, Raphael Linker, Lucian Simionesei, Georgios Sylaios, A. Battilani, I. Tsakmakis |
---|---|
Rok vydání: | 2018 |
Předmět: |
2. Zero hunger
Global Forecast System Schedule Irrigation 010504 meteorology & atmospheric sciences Meteorology 0208 environmental biotechnology Deficit irrigation Weather forecasting Irrigation scheduling Soil Science Climate change 02 engineering and technology computer.software_genre 01 natural sciences 020801 environmental engineering 13. Climate action Evapotranspiration Environmental science Agronomy and Crop Science computer 0105 earth and related environmental sciences Water Science and Technology |
Zdroj: | Linker, R, Sylaios, G, Tsakmakis, I, Ramos, T, Simionesei, L, Plauborg, F & Battilani, A 2018, ' Sub-optimal model-based deficit irrigation scheduling with realistic weather forecasts ', Irrigation Science, vol. 36, no. 6, pp. 349–362 . https://doi.org/10.1007/s00271-018-0592-x |
ISSN: | 1432-1319 0342-7188 |
Popis: | This paper analyses the performance of sub-optimal irrigation schedules obtained daily by solving a multi-objective optimization problem with updated weather measurements and forecasts. The approach was tested using five crops at four European locations with contrasting weather conditions. Four- and 6-day Global Forecast System (GFS) forecasts were used at all locations, and comparison with a down-scaled locally tuned model was conducted at one location. Accurate GFS temperature forecasts were observed at all four locations, but the accuracy of the potential evapotranspiration calculated from the GFS forecasts was not as consistent. Precipitations forecasts were very poor at all locations. In Greece, the down-scaled locally tuned forecasts were only marginally better than the GFS ones. In most cases, recomputing the sub-optimal irrigation schedule daily greatly reduced the impact of the imperfect weather forecasts on the final results. Using 4- or 6-day actual forecasts did not yield results appreciably better than those obtained using only historical averages as surrogate forecasts. The main consequence of the imperfect forecasts was that the final yield differed from the target one, but the (yield, irrigation) combination remained close to optimal, unless the target yield was set too high and water availability was not the main factor limiting crop development. |
Databáze: | OpenAIRE |
Externí odkaz: | |
Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |