This study examines the impact of weekly and seasonal weather forecasts on the optimal irrigation scheduling problem. We compare stochastic and deterministic simulation-optimization frameworks for irrigation scheduling using perfect weekly (deterministic) and imperfect seasonal (stochastic) forecasts. The analysis is performed on a case study of irrigated chickpeas in Kibbutz HaZore'a in northern Israel. The results demonstrate that, for the case study area and crop, the optimization with seasonal stochastic forecasts outperforms the deterministic optimization that uses perfect weekly forecast.
|Journal||Journal of Water Resources Planning and Management - ASCE|
|State||Published - 1 May 2019|
Bibliographical noteFunding Information:
This research was made possible by the financial support of the Israeli Water Authority Research Fund. The authors wish to thank Dr. Anna Brook for providing the field measurements.
© 2019 American Society of Civil Engineers.
ASJC Scopus subject areas
- Civil and Structural Engineering
- Geography, Planning and Development
- Water Science and Technology
- Management, Monitoring, Policy and Law