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- W2061172703 abstract "Abstract. Deep drainage estimates are required for effective management of water resources. However, field measurements are time consuming and costly so simple empirical relationships are often used. Relationships developed between clay content of the surface soil and deep drainage have been used extensively in Australia to provide regional estimates of drainage but these relationships have been poorly justified and did not include rainfall in the relationships. Here we present a rigorous appraisal of clay content of soils and rainfall as predictors of drainage using an extensive database of field observations from across Australia. This study found that annual average rainfall and the clay content of the top 2 m of the soil are statistically significant predictors of drainage. Relationships have been defined for annual, perennial and tree type vegetation as a line of best fit along with 95 % confidence intervals. This allows the uncertainty in these drainage estimates to be assessed for the first time." @default.
- W2061172703 created "2016-06-24" @default.
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- W2061172703 date "2011-05-05" @default.
- W2061172703 modified "2023-10-03" @default.
- W2061172703 title "Improving confidence in deep drainage estimates, for arid and semi-arid areas using multiple linear regression with percent clay content and rainfall" @default.
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- W2061172703 doi "https://doi.org/10.5194/hessd-8-4535-2011" @default.
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