TL;DRAbstract
Predicting furrow irrigation performance is challenging due to the use of empirical relationships describing the infiltration of water into the soil. The parameters traditionally used in the empirical relationship are not correlated to soil properties and must be determined through irrigation evaluations and once determined are of limited value due to temporal and spatial variability. This research focuses on developing a methodology to predict field-scale performance of a furrow irrigated field. A primary component in predicting furrow irrigation performance is the ability to use a physically-based infiltration equation. A two-dimensional, physically-based furrow infiltration model has been developed and is based on the Green-Ampt infiltration model which only requires three, physically-based parameters. The two-dimensional model has been shown to accurately predict cumulative volume infiltrated compared to a finite element based model for variably saturated flow. The two-dimensional
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Predicting furrow irrigation performance is challenging due to the use of empirical relationships describing the infiltration of water into the soil. The parameters traditionally used in the empirical relationship are not correlated to soil properties and must be determined through irrigation evaluations and once determined are of limited value due to temporal and spatial variability. This research focuses on developing a methodology to predict field-scale performance of a furrow irrigated field. A primary component in predicting furrow irrigation performance is the ability to use a physically-based infiltration equation. A two-dimensional, physically-based furrow infiltration model has been developed and is based on the Green-Ampt infiltration model which only requires three, physically-based parameters. The two-dimensional model has been shown to accurately predict cumulative volume infiltrated compared to a finite element based model for variably saturated flow. The two-dimensional
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