Identification and uncertainty analysis of soil water retention models using lysimeter data
نویسندگان
چکیده
منابع مشابه
Analysis of Soil Water Retention Data Using Artificial Neural Networks
Many studies of water flow and solute transport in the vadose zone require estimates of the unsaturated soil hydraulic properties, including the soil water retention curve ~WRC! describing the relationship between soil suction and water content. An artificial neural network ~ANN! approach was developed to describe the WRC using observed data from several soils. The ANN approach was found to pro...
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Three macroscopic root water uptake models (Molz–Remson, Feddes, and Selim–Iskandar) have been widely used in modeling water flow in soil–plant systems. In this article, we use evapotranspiration data and soil water content data obtained from lysimeter measurements and root distribution data obtained in a nearby wheat field to evaluate the accuracy of these root water uptake models in predictin...
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Soil hydraulic properties are needed in globaland regionalscale circulation models for hydrologic and climate forecasting. They are also necessary in pointand nonpoint-source contaminant transport models. Prediction accuracy of these models is highly dependent on the quality of the model parameters. Collecting the required soil hydraulic parameters by direct measurement at any model grid scale ...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 1999
ISSN: 0043-1397
DOI: 10.1029/1999wr900133