Predicting Water Demand in Agricultural Regions Using Time Series Forecasts of Reference Crop Evapotranspirationby John C. Tracy, Kansas State Univ, Manhattan, United States,
Miguel A. Mariño, Kansas State Univ, Manhattan, United States,
S. Alireza Taghavi, Kansas State Univ, Manhattan, United States,
Abstract: Overall, it can be said that the time series model developed in this study did provide superior forecasting results for the Brawley, CA, site. This indicates that the monthly reference crop evapotranspiration rate for agricultural regions of California could potentially be forecast using the time series approach and that additional data sets should be collected and analyzed to further verify this procedure.
Subject Headings: Forecasting | Irrigation water | Evapotranspiration | Crops | Time series analysis | Water demand | Water supply systems | Model analysis | California | North America | United States
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