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dc.contributor.authorAlaa Jamal
dc.contributor.authorRaphael Linker
dc.contributor.authorMashor Housh
dc.date.accessioned2019-09-18T10:39:32Z
dc.date.available2019-09-18T10:39:32Z
dc.date.issued2019
dc.identifier.other%28ASCE%29WR.1943-5452.0001066.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4259918
dc.description.abstractThis 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.
dc.publisherAmerican Society of Civil Engineers
dc.titleOptimal Irrigation with Perfect Weekly Forecasts versus Imperfect Seasonal Forecasts
dc.typeJournal Paper
dc.journal.volume145
dc.journal.issue5
dc.journal.titleJournal of Water Resources Planning and Management
dc.identifier.doi10.1061/(ASCE)WR.1943-5452.0001066
dc.page06019003
dc.treeJournal of Water Resources Planning and Management:;2019:;Volume ( 145 ):;issue: 005
dc.contenttypeFulltext


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