Root zone soil moisture prediction models based on system identification: Formulation of the theory and validation using field and AQUACROP data
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- 作者：Dilini Delgodaa ; d.delgoda@pgrad.unimelb.edu.au" class="auth_mail" title="E-mail the corresponding author ; Syed K. Saleemb ; Hector Malanoa ; Malka N. Halgamugeb
- 关键词：System identification ; Model fit ; Irrigation ; Real-time ; Root zone ; Residual tests
- 刊名：Agricultural Water Management
- 出版年：2016
- 出版时间：1 January 2016
- 年：2016
- 卷：163
- 期：Complete
- 页码：344-353
- 全文大小：777 K
文摘
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Proposes linear time series modelling to represent soil water balance and identifies the model parameters.
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Extends the method for soil under saturation, rule-based irrigation systems, measurement noise
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Evaluates the model fit and adequacy of the modelling using synthetic and field data.
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Investigates the effect of increasing model order for different soil types.
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Demonstrates the application using a real-time closed-loop irrigation control example.